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From the psychosis prodrome to the first-episode of psychosis: No evidence of a cognitive decline.

Cognitive deficits have an important role in the neurodevelopment of schizophrenia and other psychotic disorders. However, there is a continuing debate as to whether cognitive impairments in the psychosis prodrome are stable predictors of eventual psychosis or undergo a decline due to the onset of psychosis. In the present study, to determine how cognition changes as illness emerges, we examined baseline neurocognitive performance in a large sample of helping-seeking youth ranging in clinical state from low-risk for psychosis through individuals at clinical high-risk (CHR) for illness to early first-episode patients (EFEP). At baseline, the MATRICS Cognitive Consensus battery was administered to 322 individuals (205 CHRs, 28 EFEPs, and 89 help-seeking controls, HSC) that were part of the larger Early Detection, Intervention and Prevention of Psychosis Program study. CHR individuals were further divided into those who did (CHR-T; n = 12, 6.8%) and did not (CHR-NT, n = 163) convert to psychosis over follow-up (Mean = 99.20 weeks, SD = 21.54). ANCOVAs revealed that there were significant overall group differences (CHR, EFEP, HSC) in processing speed, verbal learning, and overall neurocognition, relative to healthy controls (CNTL). In addition, the CHR-NTs performed similarly to the HSC group, with mild to moderate cognitive deficits relative to the CTRL group. The CHR-Ts mirrored the EFEP group, with large deficits in processing speed, working memory, attention/vigilance, and verbal learning (>1 SD below CNTLs). Interestingly, only verbal learning impairments predicted transition to psychosis, when adjusting for age, education, symptoms, antipsychotic medication, and neurocognitive performance in the other domains. Our findings suggest that large neurocognitive deficits are present prior to illness onset and represent vulnerability markers for psychosis. The results of this study further reinforce that verbal learning should be specifically targeted for preventive intervention for psychosis.

Journal of psychiatric research · clinical trial · 74 citationsread the source →

Dose-dependent and joint associations between screen time, physical activity, and mental wellbeing in adolescents: an international observational study.

Background: Mental wellbeing in adolescents has declined considerably during past decades, making the identification of modifiable risk factors important. Prolonged screen time and insufficient physical activity appear to operate independently and synergistically to increase the risk of poor mental wellbeing in school-aged children. We aimed to examine the gender-stratified dose-dependent and joint associations of screen time and physical activity with mental wellbeing in adolescents. Methods: We used data from three rounds of Health Behaviour in School-aged Children cross-sectional surveys (2006, 2010, and 2014) from 42 European and North American countries. Survey participants, aged 11 years, 13 years, and 15 years, provided self-reported information by completing an anonymous questionnaire that included items on health indicators and related behaviours. We used the self-reported variables of life satisfaction and psychosomatic complaints as indicators of adolescents' mental wellbeing, combining these with the self-reported discretionary use of screens and engagement in physical activity. We used generalised additive models and multilevel regression modelling to examine the gender-stratified relationships between mental wellbeing and screen time and physical activity. Findings: Our sample included 577 475 adolescents (mean age 13·60 years, SD 1·64), with 296 542 (51·35%) girls and 280 933 (48·64%) boys. The mean reported life satisfaction score (on a scale of 0-10) was 7·70 (95% CI 7·69-7·71) in boys and 7·48 (7·46-7·50) in girls. Psychosomatic complaints were more common among girls (mean 9·26, 95% CI 9·23-9·28) than boys (6·89, 6·87-6·91). Generalised additive model analyses showed slightly non-linear associations of screen time and physical activity with life satisfaction and psychosomatic complaints for girls and boys. Detrimental associations between screen time and mental wellbeing started when screen time exceeded 1 h per day, whereas increases in physical activity levels were beneficially and monotonically associated with wellbeing. Multilevel modelling showed that screen time levels were negatively associated with life satisfaction and positively associated with psychosomatic complaints in a dose-dependent manner. Physical activity levels were positively associated with life satisfaction and negatively associated with psychosomatic complaints in a dose-dependent manner. Joint associations of screen time-physical activity with mental wellbeing showed that, compared with the least active participants with more than 8 h per day of screen time and no physical activity, most of the other screen time-physical activity groups had considerably higher life satisfaction and lower psychosomatic complaints. Interpretation: Higher levels of screen time and lower levels of physical activity were associated with lower life satisfaction and higher psychosomatic complaints among adolescents from high-income countries. Public health strategies to promote adolescents' mental wellbeing should aim to decrease screen time and increase physical activity simultaneously. Funding: None.

The Lancet. Child & adolescent health · cohort or longitudinal · 63 citationsread the source →

Cessation and reduction in alcohol consumption and misuse after psychedelic use.

Background: Meta-analysis of randomized studies using lysergic acid diethylamide (LSD) for alcohol use disorder (AUD) showed large, significant effects for LSD efficacy compared to control conditions. Clinical studies suggest potential anti-addiction effects of LSD and mechanistically-related classic psychedelics for alcohol and other substance use disorders. Aims: To supplement clinical studies, reports of psychedelic use in naturalistic settings can provide further data regarding potential effects of psychedelics on alcohol use. Methods: An anonymous online survey of individuals with prior AUD reporting cessation or reduction in alcohol use following psychedelic use in non-clinical settings. Results: 343 respondents, mostly White (89%), males (78%), in the USA (60%) completed the survey. Participants reported seven years of problematic alcohol use on average before the psychedelic experience to which they attributed reduced alcohol consumption, with 72% meeting retrospective criteria for severe AUD. Most reported taking a moderate or high dose of LSD (38%) or psilocybin (36%), followed by significant reduction in alcohol consumption. After the psychedelic experience 83% no longer met AUD criteria. Participants rated their psychedelic experience as highly meaningful and insightful, with 28% endorsing psychedelic-associated changes in life priorities or values as facilitating reduced alcohol misuse. Greater psychedelic dose, insight, mystical-type effects, and personal meaning of experiences were associated with a greater reduction in alcohol consumption, controlling for prior alcohol consumption and related distress. Conclusions: Although results cannot demonstrate causality, they suggest that naturalistic psychedelic use may lead to cessation or reduction in problematic alcohol use, supporting further investigation of psychedelic-assisted treatment for AUD.

Journal of psychopharmacology (Oxford, England) · meta-analysis · 138 citationsread the source →

Acute serum hormone levels: characterization and prognosis after severe traumatic brain injury.

Experimental traumatic brain injury (TBI) studies report the neuroprotective effects of female sex steroids on multiple mechanisms of injury, with the clinical assumption that women have hormonally mediated neuroprotection because of the endogenous presence of these hormones. Other literature indicates that testosterone may exacerbate injury. Further, stress hormone abnormalities that accompany critical illness may both amplify or blunt sex steroid levels. To better understand the role of sex steroid exposure in mediating TBI, we 1) characterized temporal profiles of serum gonadal and stress hormones in a population with severe TBI during the acute phases of their injury; and 2) used a biological systems approach to evaluate these hormones as biomarkers predicting global outcome. The study population was 117 adults (28 women; 89 men) with severe TBI. Serum samples (n=536) were collected for 7 days post-TBI for cortisol, progesterone, testosterone, estradiol, luteinizing hormone (LH), and follicle-stimulating hormone (FSH). Hormone data were linked with clinical data, including acute care mortality and Glasgow Outcome Scale (GOS) scores at 6 months. Hormone levels after TBI were compared to those in healthy controls (n=14). Group based trajectory analysis (TRAJ) was used to develop temporal hormone profiles that delineate distinct subpopulations in the cohort. Structural equations models were used to determine inter-relationships between hormones and outcomes within a multivariate model. Compared to controls, acute serum hormone levels were significantly altered after severe TBI. Changes in the post-TBI adrenal response and peripheral aromatization influenced hormone TRAJ profiles and contributed to the abnormalities, including increased estradiol in men and increased testosterone in women. In addition to older age and greater injury severity, increased estradiol and testosterone levels over time were associated with increased mortality and worse global outcome for both men and women. These findings represent a paradigm shift when thinking about the role of sex steroids in neuroprotection clinically after TBI.

Journal of neurotrauma · 122 citationsread the source →

Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review.

Background: College students are increasingly reporting common mental health problems, such as depression and anxiety, and they frequently encounter barriers to seeking traditional mental health treatments. Digital mental health interventions, such as those delivered via the Web and apps, offer the potential to improve access to mental health treatment. Objective: This study aimed to review the literature on digital mental health interventions focused on depression, anxiety, and enhancement of psychological well-being among samples of college students to identify the effectiveness, usability, acceptability, uptake, and adoption of such programs. Methods: We conducted a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (registration number CRD42018092800), and the search strategy was conducted by a medical research librarian in the following databases: MEDLINE (Ovid), EMBASE (Elsevier), PsycINFO (EbscoHost), the Cochrane Library (Wiley), and Web of Science (Thomson Reuters) from the date of inception to April 2019. Data were synthesized using a systematic narrative synthesis framework, and formal quality assessments were conducted to address the risk of bias. Results: A total of 89 studies met the inclusion criteria. The majority of interventions (71/89, 80%) were delivered via a website, and the most common intervention was internet-based cognitive behavioral therapy (28, 31%). Many programs (33, 37%) featured human support in the form of coaching. The majority of programs were either effective (42, 47%) or partially effective (30, 34%) in producing beneficial changes in the main psychological outcome variables. Approximately half of the studies (45, 51%) did not present any usability or acceptability outcomes, and few studies (4, 4%) examined a broad implementation of digital mental health interventions on college campuses. Quality assessments revealed a moderate-to-severe risk of bias in many of the studies. Conclusions: Results suggest that digital mental health interventions can be effective for improving depression, anxiety, and psychological well-being among college students, but more rigorous studies are needed to ascertain the effective elements of these interventions. Continued research on improving the user experience of, and thus user engagement with, these programs appears vital for the sustainable implementation of digital mental health interventions on college campuses.

Journal of medical Internet research · systematic review · 426 citationsread the source →

Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis.

Background: Major depressive disorder is one of the most common, burdensome, and costly psychiatric disorders worldwide in adults. Pharmacological and non-pharmacological treatments are available; however, because of inadequate resources, antidepressants are used more frequently than psychological interventions. Prescription of these agents should be informed by the best available evidence. Therefore, we aimed to update and expand our previous work to compare and rank antidepressants for the acute treatment of adults with unipolar major depressive disorder. Methods: We did a systematic review and network meta-analysis. We searched Cochrane Central Register of Controlled Trials, CINAHL, Embase, LILACS database, MEDLINE, MEDLINE In-Process, PsycINFO, the websites of regulatory agencies, and international registers for published and unpublished, double-blind, randomised controlled trials from their inception to Jan 8, 2016. We included placebo-controlled and head-to-head trials of 21 antidepressants used for the acute treatment of adults (≥18 years old and of both sexes) with major depressive disorder diagnosed according to standard operationalised criteria. We excluded quasi-randomised trials and trials that were incomplete or included 20% or more of participants with bipolar disorder, psychotic depression, or treatment-resistant depression; or patients with a serious concomitant medical illness. We extracted data following a predefined hierarchy. In network meta-analysis, we used group-level data. We assessed the studies' risk of bias in accordance to the Cochrane Handbook for Systematic Reviews of Interventions, and certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation framework. Primary outcomes were efficacy (response rate) and acceptability (treatment discontinuations due to any cause). We estimated summary odds ratios (ORs) using pairwise and network meta-analysis with random effects. This study is registered with PROSPERO, number CRD42012002291. Findings: We identified 28 552 citations and of these included 522 trials comprising 116 477 participants. In terms of efficacy, all antidepressants were more effective than placebo, with ORs ranging between 2·13 (95% credible interval [CrI] 1·89-2·41) for amitriptyline and 1·37 (1·16-1·63) for reboxetine. For acceptability, only agomelatine (OR 0·84, 95% CrI 0·72-0·97) and fluoxetine (0·88, 0·80-0·96) were associated with fewer dropouts than placebo, whereas clomipramine was worse than placebo (1·30, 1·01-1·68). When all trials were considered, differences in ORs between antidepressants ranged from 1·15 to 1·55 for efficacy and from 0·64 to 0·83 for acceptability, with wide CrIs on most of the comparative analyses. In head-to-head studies, agomelatine, amitriptyline, escitalopram, mirtazapine, paroxetine, venlafaxine, and vortioxetine were more effective than other antidepressants (range of ORs 1·19-1·96), whereas fluoxetine, fluvoxamine, reboxetine, and trazodone were the least efficacious drugs (0·51-0·84). For acceptability, agomelatine, citalopram, escitalopram, fluoxetine, sertraline, and vortioxetine were more tolerable than other antidepressants (range of ORs 0·43-0·77), whereas amitriptyline, clomipramine, duloxetine, fluvoxamine, reboxetine, trazodone, and venlafaxine had the highest dropout rates (1·30-2·32). 46 (9%) of 522 trials were rated as high risk of bias, 380 (73%) trials as moderate, and 96 (18%) as low; and the certainty of evidence was moderate to very low. Interpretation: All antidepressants were more efficacious than placebo in adults with major depressive disorder. Smaller differences between active drugs were found when placebo-controlled trials were included in the analysis, whereas there was more variability in efficacy and acceptability in head-to-head trials. These results should serve evidence-based practice and inform patients, physicians, guideline developers, and policy makers on the relative merits of the different antidepressants. Funding: National Institute for Health Research Oxford Health Biomedical Research Centre and the Japan Society for the Promotion of Science.

Lancet (London, England) · systematic review · 2220 citationsread the source →

Drugs for preventing postoperative nausea and vomiting in adults after general anaesthesia: a network meta-analysis.

Background: Postoperative nausea and vomiting (PONV) is a common adverse effect of anaesthesia and surgery. Up to 80% of patients may be affected. These outcomes are a major cause of patient dissatisfaction and may lead to prolonged hospital stay and higher costs of care along with more severe complications. Many antiemetic drugs are available for prophylaxis. They have various mechanisms of action and side effects, but there is still uncertainty about which drugs are most effective with the fewest side effects. Objectives: • To compare the efficacy and safety of different prophylactic pharmacologic interventions (antiemetic drugs) against no treatment, against placebo, or against each other (as monotherapy or combination prophylaxis) for prevention of postoperative nausea and vomiting in adults undergoing any type of surgery under general anaesthesia • To generate a clinically useful ranking of antiemetic drugs (monotherapy and combination prophylaxis) based on efficacy and safety • To identify the best dose or dose range of antiemetic drugs in terms of efficacy and safety SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), the World Health Organization International Clinical Trials Registry Platform (WHO ICTRP), ClinicalTrials.gov, and reference lists of relevant systematic reviews. The first search was performed in November 2017 and was updated in April 2020. In the update of the search, 39 eligible studies were found that were not included in the analysis (listed as awaiting classification). Selection criteria: Randomized controlled trials (RCTs) comparing effectiveness or side effects of single antiemetic drugs in any dose or combination against each other or against an inactive control in adults undergoing any type of surgery under general anaesthesia. All antiemetic drugs belonged to one of the following substance classes: 5-HT₃ receptor antagonists, D₂ receptor antagonists, NK₁ receptor antagonists, corticosteroids, antihistamines, and anticholinergics. No language restrictions were applied. Abstract publications were excluded. Data collection and analysis: A review team of 11 authors independently assessed trials for inclusion and risk of bias and subsequently extracted data. We performed pair-wise meta-analyses for drugs of direct interest (amisulpride, aprepitant, casopitant, dexamethasone, dimenhydrinate, dolasetron, droperidol, fosaprepitant, granisetron, haloperidol, meclizine, methylprednisolone, metoclopramide, ondansetron, palonosetron, perphenazine, promethazine, ramosetron, rolapitant, scopolamine, and tropisetron) compared to placebo (inactive control). We performed network meta-analyses (NMAs) to estimate the relative effects and ranking (with placebo as reference) of all available single drugs and combinations. Primary outcomes were vomiting within 24 hours postoperatively, serious adverse events (SAEs), and any adverse event (AE). Secondary outcomes were drug class-specific side effects (e.g. headache), mortality, early and late vomiting, nausea, and complete response. We performed subgroup network meta-analysis with dose of drugs as a moderator variable using dose ranges based on previous consensus recommendations. We assessed certainty of evidence of NMA treatment effects for all primary outcomes and drug class-specific side effects according to GRADE (CINeMA, Confidence in Network Meta-Analysis). We restricted GRADE assessment to single drugs of direct interest compared to placebo. Main results: We included 585 studies (97,516 randomized participants). Most of these studies were small (median sample size of 100); they were published between 1965 and 2017 and were primarily conducted in Asia (51%), Europe (25%), and North America (16%). Mean age of the overall population was 42 years. Most participants were women (83%), had American Society of Anesthesiologists (ASA) physical status I and II (70%), received perioperative opioids (88%), and underwent gynaecologic (32%) or gastrointestinal surgery (19%) under general anaesthesia using volatile anaesthetics (88%). In this review, 44 single drugs and 51 drug combinations were compared. Most studies investigated only single drugs (72%) and included an inactive control arm (66%). The three most investigated single drugs in this review were ondansetron (246 studies), dexamethasone (120 studies), and droperidol (97 studies). Almost all studies (89%) reported at least one efficacy outcome relevant for this review. However, only 56% reported at least one relevant safety outcome. Altogether, 157 studies (27%) were assessed as having overall low risk of bias, 101 studies (17%) overall high risk of bias, and 327 studies (56%) overall unclear risk of bias. Vomiting within 24 hours postoperatively Relative effects from NMA for vomiting within 24 hours (282 RCTs, 50,812 participants, 28 single drugs, and 36 drug combinations) suggest that 29 out of 36 drug combinations and 10 out of 28 single drugs showed a clinically important benefit (defined as the upper end of the 95% confidence interval (CI) below a risk ratio (RR) of 0.8) compared to placebo. Combinations of drugs were generally more effective than single drugs in preventing vomiting. However, single NK₁ receptor antagonists showed treatment effects similar to most of the drug combinations. High-certainty evidence suggests that the following single drugs reduce vomiting (ordered by decreasing efficacy): aprepitant (RR 0.26, 95% CI 0.18 to 0.38, high certainty, rank 3/28 of single drugs); ramosetron (RR 0.44, 95% CI 0.32 to 0.59, high certainty, rank 5/28); granisetron (RR 0.45, 95% CI 0.38 to 0.54, high certainty, rank 6/28); dexamethasone (RR 0.51, 95% CI 0.44 to 0.57, high certainty, rank 8/28); and ondansetron (RR 0.55, 95% CI 0.51 to 0.60, high certainty, rank 13/28). Moderate-certainty evidence suggests that the following single drugs probably reduce vomiting: fosaprepitant (RR 0.06, 95% CI 0.02 to 0.21, moderate certainty, rank 1/28) and droperidol (RR 0.61, 95% CI 0.54 to 0.69, moderate certainty, rank 20/28). Recommended and high doses of granisetron, dexamethasone, ondansetron, and droperidol showed clinically important benefit, but low doses showed no clinically important benefit. Aprepitant was used mainly at high doses, ramosetron at recommended doses, and fosaprepitant at doses of 150 mg (with no dose recommendation available). Frequency of SAEs Twenty-eight RCTs were included in the NMA for SAEs (10,766 participants, 13 single drugs, and eight drug combinations). The certainty of evidence for SAEs when using one of the best and most reliable anti-vomiting drugs (aprepitant, ramosetron, granisetron, dexamethasone, ondansetron, and droperidol compared to placebo) ranged from very low to low. Droperidol (RR 0.88, 95% CI 0.08 to 9.71, low certainty, rank 6/13) may reduce SAEs. We are uncertain about the effects of aprepitant (RR 1.39, 95% CI 0.26 to 7.36, very low certainty, rank 11/13), ramosetron (RR 0.89, 95% CI 0.05 to 15.74, very low certainty, rank 7/13), granisetron (RR 1.21, 95% CI 0.11 to 13.15, very low certainty, rank 10/13), dexamethasone (RR 1.16, 95% CI 0.28 to 4.85, very low certainty, rank 9/13), and ondansetron (RR 1.62, 95% CI 0.32 to 8.10, very low certainty, rank 12/13). No studies reporting SAEs were available for fosaprepitant. Frequency of any AE Sixty-one RCTs were included in the NMA for any AE (19,423 participants, 15 single drugs, and 11 drug combinations). The certainty of evidence for any AE when using one of the best and most reliable anti-vomiting drugs (aprepitant, ramosetron, granisetron, dexamethasone, ondansetron, and droperidol compared to placebo) ranged from very low to moderate. Granisetron (RR 0.92, 95% CI 0.80 to 1.05, moderate certainty, rank 7/15) probably has no or little effect on any AE. Dexamethasone (RR 0.77, 95% CI 0.55 to 1.08, low certainty, rank 2/15) and droperidol (RR 0.89, 95% CI 0.81 to 0.98, low certainty, rank 6/15) may reduce any AE. Ondansetron (RR 0.95, 95% CI 0.88 to 1.01, low certainty, rank 9/15) may have little or no effect on any AE. We are uncertain about the effects of aprepitant (RR 0.87, 95% CI 0.78 to 0.97, very low certainty, rank 3/15) and ramosetron (RR 1.00, 95% CI 0.65 to 1.54, very low certainty, rank 11/15) on any AE. No studies reporting any AE were available for fosaprepitant. Class-specific side effects For class-specific side effects (headache, constipation, wound infection, extrapyramidal symptoms, sedation, arrhythmia, and QT prolongation) of relevant substances, the certainty of evidence for the best and most reliable anti-vomiting drugs mostly ranged from very low to low. Exceptions were that ondansetron probably increases headache (RR 1.16, 95% CI 1.06 to 1.28, moderate certainty, rank 18/23) and probably reduces sedation (RR 0.87, 95% CI 0.79 to 0.96, moderate certainty, rank 5/24) compared to placebo. The latter effect is limited to recommended and high doses of ondansetron. Droperidol probably reduces headache (RR 0.76, 95% CI 0.67 to 0.86, moderate certainty, rank 5/23) compared to placebo. We have high-certainty evidence that dexamethasone (RR 1.00, 95% CI 0.91 to 1.09, high certainty, rank 16/24) has no effect on sedation compared to placebo. No studies assessed substance class-specific side effects for fosaprepitant. Direction and magnitude of network effect estimates together with level of evidence certainty are graphically summarized for all pre-defined GRADE-relevant outcomes and all drugs of direct interest compared to placebo in http://doi.org/10.5281/zenodo.4066353. Authors' conclusions: We found high-certainty evidence that five single drugs (aprepitant, ramosetron, granisetron, dexamethasone, and ondansetron) reduce vomiting, and moderate-certainty evidence that two other single drugs (fosaprepitant and droperidol) probably reduce vomiting, compared to placebo. Four of the six substance classes (5-HT₃ receptor antagonists, D₂ receptor antagonists, NK₁ receptor antagonists, and corticosteroids) were thus represented by at least one drug with important benefit for prevention of vomiting. Combinations of drugs were generally more effective than the corresponding single drugs in preventing vomiting. NK₁ receptor antagonists were the most effective drug class and had comparable efficacy to most of the drug combinations. 5-HT₃ receptor antagonists were the best studied substance class. For most of the single drugs of direct interest, we found only very low to low certainty evidence for safety outcomes such as occurrence of SAEs, any AE, and substance class-specific side effects. Recommended and high doses of granisetron, dexamethasone, ondansetron, and droperidol were more effective than low doses for prevention of vomiting. Dose dependency of side effects was rarely found due to the limited number of studies, except for the less sedating effect of recommended and high doses of ondansetron. The results of the review are transferable mainly to patients at higher risk of nausea and vomiting (i.e. healthy women undergoing inhalational anaesthesia and receiving perioperative opioids). Overall study quality was limited, but certainty assessments of effect estimates consider this limitation. No further efficacy studies are needed as there is evidence of moderate to high certainty for seven single drugs with relevant benefit for prevention of vomiting. However, additional studies are needed to investigate potential side effects of these drugs and to examine higher-risk patient populations (e.g. individuals with diabetes and heart disease).

The Cochrane database of systematic reviews · systematic review · 127 citationsread the source →

Effect of Community Health Worker Support on Clinical Outcomes of Low-Income Patients Across Primary Care Facilities: A Randomized Clinical Trial.

Importance: Addressing the social determinants of health has been difficult for health systems to operationalize. Objective: To assess a standardized intervention, Individualized Management for Patient-Centered Targets (IMPaCT), delivered by community health workers (CHWs) across 3 health systems. Design, setting, and participants: This 2-armed, single-blind, multicenter randomized clinical trial recruited patients from 3 primary care facilities in Philadelphia, Pennsylvania, between January 28, 2015, and March 28, 2016. Patients who resided in a high-poverty zip code, were uninsured or publicly insured, and who had a diagnosis for 2 or more chronic diseases were recruited, and patients were randomized to either the CHW intervention or the control arm (goal setting only). Follow-up assessments were conducted at 6 and 9 months after enrollment. Data were analyzed using an intention-to-treat approach from June 2017 to March 2018. Intervention: Participants set a chronic disease management goal with their primary care physician; those randomized to the CHW intervention received 6 months of tailored support. Main outcomes and measures: The primary outcome was change in self-rated physical health. The secondary outcomes were self-rated mental health, chronic disease control, patient activation, patient-reported quality of primary care, and all-cause hospitalization. Results: Of the 592 participants, 370 (62.5%) were female, with a mean (SD) age of 52.6 (11.1) years. Participants in both arms had similar improvements in self-rated physical health (mean [SD], 1.8 [11.2] vs 1.6 [9.9]; P = .89). Patients in the intervention group were more likely to report the highest quality of care (odds ratio [OR], 1.8; 95% CI, 1.4-2.4; risk difference [RD], 0.12; P < .001) and spent fewer total days in the hospital at 6 months (155 days vs 345 days; absolute event rate reduction, 69%) and 9 months (300 days vs 471 days; absolute event rate reduction, 65%). This reduction was driven by a shorter average length of stay (difference, -3.1 days; 95% CI, -6.33 to 0.22; P = .06) and a lower mean number of hospitalizations (difference, -0.3; 95% CI, -0.6 to 0.0; P = .07) among patients who were hospitalized. Patients in the intervention group had a lower odds of repeat hospitalizations (OR, 0.4; 95% CI, 0.2-0.9; RD, -0.24; P = .02), including 30-day readmissions (OR, 0.3; 95% CI, 0.1-0.9; RD, -0.17; P = .04). Conclusions and relevance: A standardized intervention did not improve self-rated health but did improve the patient-perceived quality of care while reducing hospitalizations, suggesting that health systems may use a standardized intervention to address the social determinants of health. Trial registration: ClinicalTrials.gov identifier: NCT02347787.

JAMA internal medicine · randomised controlled trial · 207 citationsread the source →

Smoking cessation for people with severe mental illness (SCIMITAR+): a pragmatic randomised controlled trial.

Background: People with severe mental illnesses such as schizophrenia are three times more likely to smoke than the wider population, contributing to widening health inequalities. Smoking remains the largest modifiable risk factor for this health inequality, but people with severe mental illness have not historically engaged with smoking cessation services. We aimed to test the effectiveness of a combined behavioural and pharmacological smoking cessation intervention targeted specifically at people with severe mental illness. Methods: In the smoking cessation intervention for severe mental illness (SCIMITAR+) trial, a pragmatic, randomised controlled study, we recruited heavy smokers with bipolar disorder or schizophrenia from 16 primary care and 21 community-based mental health sites in the UK. Participants were eligible if they were aged 18 years or older, and smoked at least five cigarettes per day. Exclusion criteria included substantial comorbid drug or alcohol problems and people who lacked capacity to consent at the time of recruitment. Using computer-generated random numbers, participants were randomly assigned (1:1) to a bespoke smoking cessation intervention or to usual care. Participants, mental health specialists, and primary care physicians were unmasked to assignment. The bespoke smoking cessation intervention consisted of behavioural support from a mental health smoking cessation practitioner and pharmacological aids for smoking cessation, with adaptations for people with severe mental illness-such as, extended pre-quit sessions, cut down to quit, and home visits. Access to pharmacotherapy was via primary care after discussion with the smoking cessation specialist. Under usual care participants were offered access to local smoking cessation services not specifically designed for people with severe mental illnesses. The primary endpoint was smoking cessation at 12 months ascertained via carbon monoxide measurements below 10 parts per million and self-reported cessation for the past 7 days. Secondary endpoints were biologically verified smoking cessation at 6 months; number of cigarettes smoked per day, Fagerström Test for Nicotine Dependence (FTND) and Motivation to Quit (MTQ) questionnaire; general and mental health functioning determined via the Patient Health Questionnaire-9 (PHQ-9), the Generalised Anxiety Disorder-7 (GAD-7) questionnaire, and 12-Item Short Form Health Survey (SF-12); and body-mass index (BMI). This trial was registerd with the ISRCTN registry, number ISRCTN72955454, and is complete. Findings: Between Oct 7, 2015, and Dec 16, 2016, 526 eligible patients were randomly assigned to the bespoke smoking cessation intervention (n=265) or usual care (n=261). 309 (59%) participants were male, median age was 47·2 years (IQR 36·3-54·5), with high nicotine dependence (mean 24 cigarettes per day [SD 13·2]), and the most common severe mental disorders were schizophrenia or other psychotic illness (n=343 [65%]), bipolar disorder (n=115 [22%]), and schizoaffective disorder (n=66 [13%]). 234 (88%) of intervention participants engaged with the treatment programme and attended 6·4 (SD 3·5) quit smoking sessions, with an average duration of 39 min (SD 17; median 35 min, range 5-120). Verified quit data at 12 months were available for 219 (84%) of 261 usual care and 223 (84%) of 265 intervention participants. The proportion of participants who had quit at 12 months was higher in the intervention group than in the usual care group, but non-significantly (34 [15%] of 223 [13% of those assigned to group] vs 22 [10%] of 219 [8% of those assigned to group], risk difference 5·2%, 95% CI -1·0 to 11·4; odds ratio [OR] 1·6, 95% CI 0·9 to 2·9; p=0·10). The proportion of participants who quit at 6 months was significantly higher in the intervention group than in the usual care group (32 [14%] of 226 vs 14 [6%] of 217; risk difference 7·7%, 95% CI 2·1 to 13·3; OR 2·4, 95% CI 1·2 to 4·6; p=0·010). The incidence rate ratio for number of cigarettes smoked per day at 6 months was 0·90 (95% CI 0·80 to 1·01; p=0·079), and at 12 months was 1·00 (0·89 to 1·13; p=0·95). At both 6 months and 12 months, the intervention group was non-significantly favoured in the FTND (adjusted mean difference 6 months -0·18, 95% CI -0·53 to 0·17, p=0·32; and 12 months -0·01, -0·39 to 0·38, p=0·97) and MTQ questionnaire (adjusted mean difference 0·58, -0·01 to 1·17, p=0·056; and 12 months 0·64, 0·04 to 1·24, p=0·038). The PHQ-9 showed no difference between the groups (adjusted mean difference at 6 months 0·20, 95% CI -0·85 to 1·24 vs 12 months -0·12, -1·18 to 0·94). For the SF-12 survey, we saw evidence of improvement in physical health in the intervention group at 6 months (adjusted mean difference 1·75, 95% CI 0·21 to 3·28), but this difference was not evident at 12 months (0·59, -1·07 to 2·26); and we saw no difference in mental health between the groups at 6 or 12 months (adjusted mean difference at 6 months -0·73, 95% CI -2·82 to 1·36, and 12 months -0·41, -2·35 to 1·53). The GAD-7 questionnaire showed no difference between the groups (adjusted mean difference at 6 months -0·32 95% CI -1·26 to 0·62 vs 12 months -0·10, -1·05 to 0·86). No difference in BMI was seen between the groups (adjusted mean difference 6 months 0·16, 95% CI -0·54 to 0·85; 12 months 0·25, -0·62 to 1·13). Interpretation: This bespoke intervention is a candidate model of smoking cessation for clinicians and policy makers to address high prevalence of smoking. The incidence of quitting at 6 months shows that smoking cessation can be achieved, but the waning of this effect by 12 months means more effort is needed for sustained quitting. Funding: National Institute for Health Research Health Technology Assessment Programme.

The lancet. Psychiatry · randomised controlled trial · 134 citationsread the source →

Clinical effectiveness and acceptability of structured group psychoeducation versus optimised unstructured peer support for patients with remitted bipolar disorder (PARADES): a pragmatic, multicentre, observer-blind, randomised controlled superiority trial.

Background: Group psychoeducation is a low-cost National Institute for Health and Care Excellence-recommended treatment for bipolar disorder. However, the clinical effectiveness and acceptability of this intervention are unclear compared with unstructured peer support matched for delivery and aim of treatment, and for previous bipolar history. We aimed to assess the clinical effectiveness and acceptability of structured group psychoeducation versus optimised unstructured peer support for patients with remitted bipolar disorder. Methods: We did this pragmatic, multicentre, parallel-group, observer-blind, randomised controlled superiority trial at eight community sites in two regions in England. Participants aged 18 years or older with bipolar disorder and no episode in the preceding 4 weeks were recruited via self-referral or secondary care referral. Participants were individually randomly assigned (1:1), via a computer-generated stochastic allocation sequence, to attend 21 2-h weekly sessions of either structured group psychoeducation or optimised unstructured peer support. Randomisation was minimised by number of previous episodes (one to seven, eight to 19, or ≥20) and stratified by clinical site. Outcome assessors were masked to group allocation. The primary outcome was time from randomisation to next bipolar episode, with planned moderator analysis of number of previous bipolar episodes and qualitative interview of participant experience. We did analysis by intention to treat. This trial is registered with the International Standard Randomised Controlled Trial registry, number ISRCTN62761948. Findings: Between Sept 28, 2009, and Jan 9, 2012, we randomly assigned 304 participants to receive psychoeducation (n=153) or peer support (n=151); all (100%) participants had complete primary outcome data. Attendance at psychoeducation groups was higher than at peer-support groups (median 14 sessions [IQR three to 18] vs nine sessions [two to 17]; p=0·026). At 96 weeks, 89 (58%) participants in the psychoeducation group had experienced a next bipolar episode compared with 98 (65%) participants in the peer-support group; time to next bipolar episode did not differ between groups (hazard ratio [HR] 0·83, 95% CI 0·62-1·11; p=0·217). Planned moderator analysis showed that psychoeducation was most beneficial in participants with few (one to seven) previous bipolar episodes (χ2; HR 0·28, 95% CI 0·12-0·68; p=0·034). Four (1%) participants (one in the psychoeducation group and three in the peer-support group) died during follow-up; these deaths were deemed unrelated to the study interventions or procedures. Interpretation: Structured group psychoeducation was no more clinically effective than similarly intensive unstructured peer support, but was more acceptable and improved outcome in participants with fewer previous bipolar episodes. Optimum provision of structured psychological interventions, such as group psychoeducation, early in the course of bipolar disorder might have important benefits on the course of illness, and merits further research. Funding: National Institute for Health Research.

The lancet. Psychiatry · randomised controlled trial · 42 citationsread the source →

Geriatric assessment-identified deficits in older cancer patients with normal performance status.

Background: We investigated whether a brief geriatric assessment (GA) would identify important patient deficits that could affect treatment tolerance and care outcomes within a sample of older cancer patients rated as functionally normal (80%-100%) on the Karnofsky performance status (KPS) scale. Methods: Cancer patients aged ≥65 years were assessed using a brief GA that included both professionally and patient-scored KPS and measures of comorbidity, polypharmacy, cognition, function, nutrition, and psychosocial status. Data were analyzed using descriptive statistics and multivariable logistic regression. Results: The sample included 984 patients: mean age was 73 years (range: 65-99 years), 74% were female, and 89% were white. GA was conducted before (23%), during (41%), or after (36%) treatment. Overall, 54% had a breast cancer diagnosis (n = 528), and 46% (n = 456) had cancers at other sites. Moreover, 81% of participants (n = 796) had both professionally and self-rated KPS ≥80, defined as functionally normal, and those patients are the focus of analysis. In this subsample, 550 (69%) had at least 1 GA-identified deficit, 222 (28%) had 1 deficit, 140 (18%) had 2 deficits, and 188 (24%) had ≥3 deficits. Specifically, 43% reported taking ≥9 medications daily, 28% had decreased social activity, 25% had ≥4 comorbidities, 23% had ≥1 impairment in instrumental activities of daily living, 18% had a Timed Up and Go time ≥14 seconds, 18% had ≥5% unintentional weight loss, and 12% had a Mental Health Index score ≤76. Conclusion: Within this sample of older cancer patients who were rated as functionally normal by KPS, GA identified important deficits that could affect treatment tolerance and outcomes.

The oncologist · clinical trial · 171 citationsread the source →

Brief antenatal cognitive behaviour therapy group intervention for the prevention of postnatal depression and anxiety: a randomised controlled trial.

Background: The majority of randomised controlled trials examining the effectiveness of antenatal group interventions at preventing postnatal depression in "at risk" women have used a "psychoeducational" intervention. The aim of the present study is to evaluate the effectiveness of an antenatal cognitive behavioural group intervention in a primary care setting for pregnant women identified with mild to moderate symptoms in pregnancy and/or at risk of developing depression or anxiety in the perinatal period. Method: Subjects were randomised to a CBT group intervention or control condition (information booklet) and administered the EPDS and STAI at pre (Time 1) and post intervention (Time 2), and at 2 months (Time 3) and 4 months postpartum (Time 4). MINIs were administered at Times 1, 3 and 4. Results: Of the 774 women approached, 277 accepted and were suitable; thus 191 were randomised to the CBT intervention and 86 to the control condition. The subsequent 52% drop-out left 89 women "completing" the CBT groups and 43 in the control group; these two groups were well matched on demographic variables. Intention to treat analyses revealed relatively low mean baseline EPDS scores (means 6.88 -8.16) with no reduction in EPDS scores in either group from Time 1 to Time 4. MINI depression criteria were fulfilled by 19% of all participants at Time 1 but there was no reduction in depression in either group; in contrast those with MINI anxiety diagnoses reduced from 28% in late pregnancy to 16% at four months postpartum in the CBT group with similar reductions in the control group. Analyses on the 132 "completers" showed significant symptomatic improvement over time for both the CBT group and control condition. Depression scores in the most symptomatic women (EPDS>12; N=19) decreased steadily by over 50% over the total time course but there were no differences in improvement between the CBT and control groups. Limitations: A number of methodological factors may have obscured our results including a tendency to natural remission in mildly symptomatic subjects and the possibility that our control condition was therapeutic in itself. Conclusion: While a modest reduction in depression scores was noted in study "completers", both the CBT group intervention control condition were equally beneficial. The reasons for this finding include the low symptom level at baseline; the potential effectiveness of the control condition; and the brevity of the intervention.

Journal of affective disorders · randomised controlled trial · 122 citationsread the source →

Mental health aspects of pandemics with special reference to COVID-19

Pandemics are large-scale outbreak of disease that spreads rapidly, afflicting many persons simultaneously across multiple countries.[1] History tells us that as humans spread across the globe so did infections. Infections have been our constant companion since antiquity. Hunters and gatherers formed tribes that turned to farming and formed villages which gradually advanced to metropolis. Urbanization brought residents into denser neighborhoods, which combined with increasing populations are placing increasing pressure on the environment. Catastrophic pandemics have been occurring since antiquity and are frequently mentioned in ancient texts. Pandemics are associated with death, destruction, and devastation. Not surprisingly, pandemics are associated with long-term psychological consequences. A brief estimate of the effects of some of these pandemics is given below. Antonine plague (AD 165) The Antonine plague (the Plague of Galen) began in the far east. Soldiers returning to Rome from the far east brought back the infection which then spread throughout the Roman Empire. The pandemic killed about five million people. Plague of Justinian (541–542) The Justinian Plague (bubonic plague) started in central Africa and spread to Egypt and then hit the Byzantine Empire and many cities around the Mediterranean Sea, spreading with ease via a large number of ships, usually maintained in unhygienic condition, arriving into the ports. The plague killed about half the population of Europe, about 25 million people. Japanese small pox epidemic (735–737) The Japanese small pox epidemic affected most of Japan. As a consequence of this epidemic, approximately 1/3rd of the entire Japanese population (about 1 million) perished.[2] The Black Death (1346–1353) The Black Death or “The Plague” is the first pandemic about which reliable information is available. This pandemic of bubonic plague originated in China in 1334, spread through central Asia and northern India following the Silk Road, and reached Sicily in 1347. Over the next 5 years, it spread throughout Europe, Russia, and the Middle East. The mortality of untreated bubonic plague is close to 70%.[3] Over 50 years, the Black Death caused about 100 million deaths.[4] In subsequent centuries, the plague caused several outbreaks through Europe in causing death and destruction but never with the same ferocity as the initial pandemic.[5] Smallpox (1519–1520) The smallpox epidemic affected the native people of Mexico. It was brought by the European invaders. In this epidemic, about 5 million to 8 million people perished.[6] Cocoliztli epidemic (1545 and 1576) The Cocoliztli (probably indigenous hemorrhagic fevers) epidemics that began in 1545 and 1576 were catastrophic and killed about 7 million to 17 million people in the highlands of Mexico.[6] The 17th-century great plagues The 17th-century “great plagues” included the Great Plague of Seville (1647–1652), the Great Plague of London (1665-1666), and the Great Plague of Vienna (1679). A total of 3 million people died due to these plagues. The Third cholera epidemic (1852) The third cholera epidemic had the highest fatality of the epidemics in the 19th century. The pandemic originated in India and spread across the world. Over a million lives were lost due to this pandemic. The third plague pandemic (1855) The third plague pandemic began with the re-emergence of the disease from its wild rodent reservoir in the Yunnan province of China in 1855. From there, the disease advanced to K'unming in 1866, the Gulf of Tonkin in 1867, and the port of Pakhoi (now Pei-hai) in 1882 and Hong Kong in 1894. From there, it spread to ports in all continents by the infected rats traveling the international trade routes on the new steamships. For the next five decades, the pandemic waxed and waned throughout the world and ended in 1959. The third plague pandemic resulted in 15 million deaths, the majority of which were in India.[7] Yellow fever (the late 1800s) Multiple Yellow fever epidemics ravaged the Americas in the late 1800s, the last ending in 1905. Yellow fever claimed over 100,000 American lives. Though exterminated from America, yellow fever continues to ravage countries in the sub-Saharan Africa and tropical South America. Flu (1889–1890) This flu pandemic occurred due to the H3N8 subtype of the influenza virus. The pandemic originated in Russia and thereafter spread across many countries in the northern hemisphere. The spread of this epidemic was facilitated by the arrival of the modern transport infrastructure. The flu resulted in about one million deaths. Sixth cholera pandemic (1910–1911) The sixth cholera pandemic also originated in India. It spread through ships and other means of transport to the Middle East, North Africa, Eastern Europe, and Russia. The pandemic claimed 8,00,000 lives. The “Spanish Flu” pandemic (1918–1920) ”Spanish Flu” Pandemic was caused by the H1N1 influenza virus. It infected more than 25% of the global population. With a mortality rate of 10%–20%, it caused 50 million, possibly 100 million deaths. The Spanish Flu caused more deaths than the Black Death did in a century.[89] Asian flu (1957–1958) The Asian flu was caused by new influenza A (H2N2) virus of avian origin. The influenza outbreak originated from Singapore, spread to Hong Kong and the eastern coast of the USA in the late 1950s and later died out after a vaccine was introduced. This influenza pandemic claimed about 1.1 million lives. Hong Kong flu (1968) The Hong Kong flu was caused by influenza A (H3N2) virus which originated from an avian influenza A virus and killed one million people. It continues to cause seasonal influenza A virus associated with severe illness in older people. HIV pandemic HIV/AIDS unlike all previous and subsequent pandemics is a slowly progressing global pandemic that has over decades affected all the continents and different populations. In addition, due to the lengthy survival of patients, it has brought a host of challenges in its wake. HIV has infected about 74.9 million individuals all over the world and about 32 million have died (end 2018) since 1981. Every year, it continues to cause about one million deaths globally.[10] Severe acute respiratory syndrome (2002–2003) The first pandemic of the 21st century was severe acute respiratory syndrome (SARS) caused by the SARS coronavirus (SARS-CoV). The condition manifested with severe respiratory symptoms and had a mortality of 10%. It began in China in November 2002 and affected fewer than 10,000 individuals in 26 countries. As a result of effective public health preventive measures worldwide, the pandemic was contained by the mid-2003.[11] For the first time during and after the SARS pandemic, the psychiatric aspects were studied all over the world. Valuable information on the psychological effects of an acute infectious pandemic on affected individuals, families, communities, health-care workers, quarantine, survivors of severe illness, etc., was gathered.[812] The H1N1 or “Swine Flu” Pandemic (2009-2010) The Swine flu began in Mexico and affected over 10% of the population of the world. It caused an estimated 20,000 to500,000 deaths.[1314] Because the disease disproportionately affected healthy young adults, often quickly resulting in severe respiratory failure, it was perceived as extremely threatening. However, the final death rate was lower than the death rates of influenza. The initial announcements and warnings by the WHO caused alarm in the general public, but this changed to distrust and disgruntlement as the predicted dire consequences of the pandemic did not materialize.[15] Governments and health agencies were blamed for panic (”panicdemic”) and pushing vaccines without adequate study to enhance the profits of pharmaceutical firms at the cost of the general public (H1N1 vaccines worth 1.5 billion dollars were administered in 2009 in the USA alone).[816] The COVID-19 pandemic The pandemic caused by novel CoV (COVID-19) began in Wuhan in China and has spread to 215 countries. It has already affected 7,000,000 individuals and killed 313,636. The virus is more transmissible than SARS-CoV and has a case fatality rate of 2.3%.[17] A unique feature of this pandemic is the accompanying “infodemic”– an excess of (mis) information on social media and elsewhere – which is a major hazard to mental well-being during this health crisis.[18] PSYCHOLOGICAL FACTORS IN PANDEMICS Despite their periodic occurrence and devastating consequences, surprisingly, pandemics have evoked minimal interest in mental health professionals, though the situation has vastly improved in the past decade. Psychosocial stressors in pandemics Pandemics are almost invariably characterized by ambiguity, misunderstanding, and a feeling of urgency.[19] As the causative agent is usually new, in the early stages of a pandemic, there is widespread ambiguity about the chances and effects of becoming infected, along with lack of information and understanding about the most effective mode of prevention and treatment.[20] Other psychosocial stressors related to pandemics include threats to the health of self and loved ones, lockdowns, social distancing, separation from family and friends, death of loved ones, social isolation due to quarantine, shortages of food and medicines, loss of earnings, closure of educational institutions and industries, and cancellation of functions and festivals.[2122] Importance of psychological factors during pandemics The current methods for combating pandemics are largely behavioral or educational interventions comprising of risk communication, vaccination adherence programs, personal protective measures, and social distancing. Extreme psychological distress related to actual or threatened infection is a significant issue. Psychological factors are also essential for understanding and combating the collective disorderly behavioral patterns displayed by people facing widespread, serious infection. Effects of stressful life events and negative emotions on the immune system Stressful life events and negative emotions suppress the immune system to some degree, resulting in enhanced susceptibility to infection.[23] Although the mechanisms of these effects are not exactly known, research has shown that stressors and negative emotions influence the production of lymphocytes and pro-inflammatory cytokines.[23] On the other hand, psychotherapeutic interventions such as cognitive behavioral therapy by decreasing a person's stress proneness and negative emotions, may reduce stress-related immunosuppression.[24] The frantic chase for quack remedies and traditional therapies A serious threat to the health of self or loved ones can impair the person's ability to make rational decisions.[25] At the beginning of a pandemic, reliable vaccines and medical treatment are often not available. In this scenario, to protect themselves and their loved ones, people in desperation turn to quack remedies and dubious traditional therapies. Traditional remedies for influenza include inhalation of vapors of carbolic acid, wearing necklaces of garlic, and drinking pine tar. Folk remedies for SARS included diets of turnips, vinegar, kimchee, or spicy foods, and even smoking cigarettes, all of which were ineffective. We may add cow's urine to this list. During the SARS pandemic, some people in China hired sorcerers, lit firecrackers, and burned fake money. People take large doses of vitamins or herbal supplements in the hope that this will boost their immunity.[2226] Civil unrest, rioting, and violence Widespread sickness, debility, and death during pandemics evoke prosocial, affiliative, supportive, behaviors in the form of mutual aid such as running community kitchens, ambulance services, or disposal of dead bodies.[27] However, civil unrest or riots have sometimes erupted during pandemics.[28] There are numerous examples of groups of citizens clashing violently with health workers, due to fears that the health workers were harming rather than helping them.[22] During the Ebola outbreak in September 2014, eight health-care workers and journalists reached the Guinean village of Worme to teach the villagers how to protect themselves against Ebola. But, the villagers, believing that the workers were spreaders of the disease, attacked and killed them.[29] Villagers in Zhejiang province of China protesting the local government's SARS policy attacked officials and broke windows and furniture of the local offices.[26] The recent attack on health-care workers in Indore and other parts of India can be added to the list. Psychological reactions to stress, harm, and loss in pandemics The majority of people are resilient to stress, and this may be more true for people from developing countries. Many persons who survive major stressful events do not suffer adverse psychological effects. Experience of the recent past however tells us that the psychological effects of pandemics are often larger than the medical effects. For instance, during the West African Ebola outbreak (2014–2015), the “epidemic of fear” affected more people than the epidemic itself.[2230] Similarly, during the 2003 SARS pandemic, the psychological morbidity greatly exceeded the medical morbidity in terms of both the number and duration of impact.[3132] Reactions of people to the stress of pandemic vary from fear to indifference to fatalism.[33] At one end of the spectrum are people who blatantly disregard the risks and refuse to follow the recommended health behaviors including hygiene practices, social distancing, and vaccination. At the opposite end of the spectrum are people who develop intense anxiety or fear. Psychologically, a moderate level of anxiety motivates people to address health threats, but severe anxiety is incapacitating.[22] Studies conducted during the early stages of the Swine flu pandemic that of a community had significant of American some of anxiety about becoming of residents of that were about the health of their family to were not about the infection measures, and on a People had of fear even at of social media was associated with anxiety and behaviors in people had more fear for the of their in by the included more frequently and to health-care out in and stress symptoms were in in perceived stress in anxiety in in and in of the the were associated with recent stressful life a and of and syndrome were associated with quarantine, more than was associated with perceived stress, and Death of a loved one due to COVID-19 was associated with perceived stress, and During from the infected individuals, health-care workers are also This has manifested in their who are health-care workers, to their psychosocial stressors may or psychiatric including anxiety and stress or loss of loved ones in the pandemic may be by or a to widespread including the deaths of loved ones in the pandemic, may result in As a pandemic the general public to the threat and anxiety is However, in individuals, the adverse psychological effects can be severe and of pandemics The of a pandemic is by an for and from the the of developing a new vaccine is and the vaccine will not be it is the This be by Similarly, the of new is also and without is with against the to stressful as At the media that reliable information about the pandemic is for the general At the beginning of an epidemic, measures to that be time for the medical and pharmaceutical are the The of interventions for rates individuals and the virus are quarantine, social distancing, and the The public health during a pandemic is to the outbreak at the with minimal risk is for this of information by the general public to about to themselves from the infection. During a pandemic, and distrust of This can be by in the media and fake in social and through and is However, this is than in the beginning of a pandemic, there is a of information about the causative agent and its During the CoV pandemic in the media the of the This resulted in public of the government's on the of with a of time and the of symptoms was It was also after a of individuals who did not develop symptoms of the disease develop the disease spread the on this the was first in in of new to the were to for on a the to its during the Black the of spread throughout from also the infected, the and their close to the community spread of the infectious this continues to be a and public health to infectious measures measures that are usually recommended include with and and that are frequently and such as and are to the general public, of is Despite the of that individuals frequently do not follow are not by individuals who themselves as a risk of infection are to to be and to be isolation due to social is also by social closure can the spread of infection. from of due to to The due to is a more that of the The for is that by greatly decreasing at in the will reduce of resulting in a of the of and an to the in India the of COVID-19 was the same as in other countries without a that at this the infection spread from 100 people to million persons in A of the epidemic was predicted in that our health system was As a result of the the time to 8 which us an to our health infrastructure. The of the one was is a it and will not as is by the increasing or has been in countries. The and most have been by by and The USA and the have China Wuhan quarantine, but later it to 15 other with include South and The of are available. was a then it be that in countries that did not the our some countries with did have are in countries that did not even has given against total on from Wuhan a to the consequences of of the along with social on the pandemic. that in to reduce the epidemic and the and be the of social in the by the and then the entire without in the a is to be to a of with people and that COVID-19 is spreading There is even of to the be given the of and the of the of is the not the virus but is more to the people from and reactions to The and total on India due to the COVID-19 pandemic caused to our lives. The loss of over our lives and our may of and The to may in five stages including the and total in their loss of a result of to the new a result of and and hope stages are almost the stages of both are by an of It be that this is not a and the reactions of individuals to a some people will and most people are in these stages of the are not in of and people may even back and the stages the final and most of effects of People severe stress and in isolation may symptoms of psychological stress and and including and is a major of the of some the and to and of this can a of and a mental People with may develop symptoms due to to the stress of persons with psychiatric such as and such as may suffer from an or of This also be due to lack of their invariably to social which to and a general of fear and that may and in to psychiatric The fear of themselves or their loved ones to COVID-19 is a and may a mental in population. The in in and fake on social media to the anxiety and that is to mental Psychological effects of loss of of is one of the most and events a has to from the risk of and disease, the loss of a of or and family loss in an a of in and social It a loss of with an and persons with an has been and may be by a of from has been including the with of for an of time and of which is and the is time the death, for is to to life without the and is on a long-term and the of are and with ability to in and its factors for include loss of and adverse of the and the of different for in the of factors for include social and or A study of people that and of the had and anxiety individuals with anxiety and had such as and However, loss has long-term effects. of the consequences of loss on well-being during 3 to 3 after loss that the to loss is not a and are by a that the of a that on an an after loss and not to even after the which is in with In to multiple patterns of that with this with long-term in the in in to loss was for the majority of individuals to by 1 after of pandemics in A ability to to a pandemic on the and of its institutions and also the and behaviors of its The of an is by of of of of and also the of During the COVID-19 pandemic, that with had the rate of in COVID-19 for population and also the deaths for and these of the and institutions that behaviors that and citizens who the have The psychological reactions of people to pandemics are to and not Reactions of people to the stress of pandemic vary from fear to indifference to At one end of the spectrum are people who blatantly disregard the risks and refuse to follow the recommended health At the opposite end of the spectrum are people who develop intense anxiety or fear. Although the majority of the population are resilient to the stress of many health anxiety and and some develop psychiatric including anxiety and As a pandemic the general public to the threat and anxiety is However, in individuals, the adverse psychological effects can be severe and as a so that the treatment not than the

Industrial Psychiatry Journal · editorial or comment · 33 citationsread the source →

An empirical study on the construct of "God" in the Twelve Step process.

Background: The term God, included in 5 of the 12 Steps of Narcotics Anonymous (NA) and Alcoholics Anonymous (AA), self-designated spiritual fellowships, has not been studied empirically relative to members' experiences. A greater understanding of this can be clinically useful and can shed light on the 12 Step process of recovery. Objectives: To determine how NA members understand the 12-step concept "God as we understood Him" and the relationship between their understanding of God and the intensity of their craving and depressive symptoms." Methods: 450 (59% male) NA members completed a survey related to their experiences relative to their relationship with "God." The relationship among these variables and comparisons to the general population was analyzed. Craving and depressive symptoms were assessed by self-report. Results: 98% of the NA participants believe in God explicitly or some other higher power (vs 89% of a probability sample of the US population), 67% believe that God determines what happens to them some or all of the time (vs 48%), 78% (vs 28%) report hearing God talking to them "in their mind"; and 37% report that God talks to them "out loud." Acceptance of 12 Step God-related variables inversely predicted a significant portion of the variance of scores on craving (7.5%) and depression (13.5%). Conclusions: Respondents' understanding of God in NA varied considerably and was predictive of their depressive symptoms and craving intensity. These findings can serve as a basis for research into mechanisms underlying NA/AA recovery experiences and can also aid clinicians in how to employ these programs.

The American journal of drug and alcohol abuse · 3 citationsread the source →

Use of rumination and activity monitoring for the identification of dairy cows with health disorders: Part I. Metabolic and digestive disorders.

The objectives of this study were to evaluate (1) the performance of an automated health-monitoring system (AHMS) to identify cows with metabolic and digestive disorders-including displaced abomasum, ketosis, and indigestion-based on an alert system (health index score, HIS) that combines rumination time and physical activity; (2) the number of days between the first HIS alert and clinical diagnosis (CD) of the disorders by farm personnel; and (3) the daily rumination time, physical activity, and HIS patterns around CD. Holstein cattle (n=1,121; 451 nulliparous and 670 multiparous) were fitted with a neck-mounted electronic rumination and activity monitoring tag (HR Tags, SCR Dairy, Netanya, Israel) from at least -21 to 80 d in milk (DIM). Raw data collected in 2-h periods were summarized per 24 h as daily rumination and activity. A HIS (0 to 100 arbitrary units) was calculated daily for individual cows with an algorithm that used rumination and activity. A positive HIS outcome was defined as a HIS of <86 during at least 1 d from -5 to 2 d after CD. Blood concentrations of nonesterified fatty acids, β-hydroxybutyrate, total calcium, and haptoglobin were determined in a subgroup of cows (n=459) at -11±3, -4±3, 0, 3±1, 7±1, 14±1, and 28±1 DIM. The sensitivity of the HIS was 98% [95% confidence interval (CI): 93, 100] for displaced abomasum (n=41); 91% (95% CI: 83, 99) for ketosis (n=54); 89% (95% CI: 68, 100) for indigestion (n=9); and 93% (95% CI: 89, 98) for all metabolic and digestive disorders combined (n=104). Days (mean and 95% CI) from the first positive HIS <86 and CD were -3 (-3.7, -2.3), -1.6 (-2.3, -1.0), -0.5 (-1.5, 0.5), and -2.1 (-2.5, -1.6) for displaced abomasum, ketosis, indigestion, and all metabolic and digestive disorders, respectively. The patterns of rumination, activity, and HIS for cows flagged by the AHMS were characterized by lower levels than for cows without a health disorder and cows not flagged by the AHMS from -5 to 5 d after CD, depending on the disorder and parameter. Differences between cows without health disorders and those flagged by the AHMS for blood markers of metabolic and health status confirmed the observations of the CD and AHMS alerts. The overall sensitivity and timing of the AHMS alerts for cows with metabolic and digestive disorders indicated that AHMS that combine rumination and activity could be a useful tool for identifying cows with metabolic and digestive disorders.

Journal of dairy science · 106 citationsread the source →

Qualitative concept elicitation and cognitive debriefing interviews of symptoms, impacts and selected customized PROMIS® Short Forms: a study in patients with axial spondyloarthritis.

Background: Sleep disturbance, pain, and fatigue are key symptoms/impacts of axial spondyloarthritis (axSpA). Three customized Patient-Reported Outcomes Measurement Information System (PROMIS®) Short Forms (Sleep Disturbance, Pain Interference, and Fatigue) have been proposed for use in axSpA to assess these key disease concepts. This study was designed to further understand the patient experience of axSpA and evaluate the content validity of the three customized PROMIS® Short Forms to support their use in axSpA clinical trials. Methods: Non-interventional, cross-sectional, qualitative (concept elicitation [CE] and cognitive debriefing [CD]) study. Participants took part in 90-min telephone interviews. The CE section used open-ended questions to elicit information about axSpA symptoms and impacts. The CD section involved a 'think-aloud' exercise where participants read out each instruction, item, and response option for the customized PROMIS® Short Forms and shared their feedback. Participants also discussed the relevance of the items, response options and recall period. Verbatim interview transcripts were subject to thematic and content analysis. Results: In total, there were 28 participants (non-radiographic axSpA, n = 12; ankylosing spondylitis, n = 16), from the US (n = 20) and Germany (n = 8). Mean age was 52.8 years, and 57% were male; mean time since diagnosis was 9.5 years. The CE section identified 12 distinct symptoms that characterized axSpA: pain, sleep problems, fatigue/tiredness, stiffness, swelling, vision/eye issues, restricted body movements, headache/migraine, spasms, change in posture/stature, balance/coordination problems, and numbness. Pain, sleep problems, and fatigue/tiredness were experienced by ≥ 90% of participants, occurring simultaneously and exacerbating one another. Participants reported axSpA impacted their lives across six domains of health-related quality of life (HRQoL): physical functioning (100%), emotional wellbeing (89%), work/volunteering (79%), social functioning (75%), activities of daily living (61%) and cognitive functioning (54%). Impacts were most frequently associated with pain, stiffness, and fatigue. CD showed the PROMIS® instruments were conceptually comprehensive and well understood, with all items relevant to ≥ 50% of participants. Conclusions: Pain, sleep problems and fatigue are pivotal symptoms of axSpA and associated with HRQoL impacts. These results were used to update a conceptual model of axSpA which was originally developed based on a targeted literature review. Interpretability and content validity of the customized PROMIS® Short Forms were confirmed, with each deemed to adequately assess key impacts associated with axSpA, making them suitable for use in axSpA clinical trials.

Journal of patient-reported outcomes · 5 citationsread the source →

Migration and risk of HIV acquisition in Rakai, Uganda: a population-based cohort study.

Background: In sub-Saharan Africa, migrants typically have higher HIV prevalence than non-migrants; however, whether HIV acquisition typically precedes or follows migration is unknown. We aimed to investigate the risk of HIV after migration in Rakai District, Uganda. Methods: In a prospective population-based cohort of HIV-negative participants aged 15-49 years in Rakai, Uganda, between April 6, 1999, and Jan 30, 2015, we assessed the association between migration and HIV acquisition. Individuals were classified as recent in-migrants (≤2 years in community), non-recent in-migrants (>2 years in community), or permanent residents with no migration history. The primary outcome was incident HIV infection. We used Poisson regression to estimate incidence rate ratios (IRRs) of HIV associated with residence status with adjustment for demographics, sexual behaviours, and time. Data were also stratified and analysed within three periods (1999-2004, 2005-11, and 2011-15) in relation to the introduction of combination HIV prevention (CHP; pre-CHP, early CHP, and late CHP). Findings: Among 26 995 HIV-negative people who participated in the Rakai Community Cohort Study survey, 15 187 (56%) contributed one or more follow-up visits (89 292 person-years of follow-up) and were included in our final analysis. 4451 (29%) were ever in-migrants and 10 736 (71%) were permanent residents. 841 incident HIV events occurred, including 243 (29%) among in-migrants. HIV incidence per 100 person-years was significantly increased among recent in-migrants compared with permanent residents, for both women (1·92, 95% CI 1·52-2·43 vs 0·93, 0·84-1·04; IRR adjusted for demographics 1·75, 95% CI 1·33-2·33) and men (1·52, 0·99-2·33 vs 0·84, 0·74-0·94; 1·74, 1·12-2·71), but not among non-recent in-migrants (IRR adjusted for demographics 0·94, 95% CI 0·74-1·19 for women and 1·28, 0·94-1·74 for men). Between the pre-CHP and late-CHP periods, HIV incidence declined among permanent resident men (p<0·0001) and women (p=0·002) and non-recent in-migrant men (p=0·031), but was unchanged among non-recent in-migrant women (p=0·13) and recent in-migrants (men p=0·76; women p=0·84) INTERPRETATION: The first 2 years after migration are associated with increased risk of HIV acquisition. Prevention programmes focused on migrants are needed to reduce HIV incidence in sub-Saharan Africa. Funding: National Institute of Mental Health, the National Institute of Allergy and Infectious Diseases, the National Institute of Child Health and Development, the National Institute for Allergy and Infectious Diseases Division of Intramural Research, National Institutes of Health; the Centers for Disease Control and Prevention; the Bill & Melinda Gates Foundation; and the Johns Hopkins University Center for AIDS Research.

The lancet. HIV · 83 citationsread the source →

Ethnoracial and social trends in breast cancer staging at diagnosis in Brazil, 2001-14: a case only analysis.

Background: Policies for early detection of breast cancer, including clinical breast examinations and mammographic screening, were introduced in Brazil in 2004, but their effect on disease stage at diagnosis is unclear. We aimed to assess whether these policies have led to a decrease in the prevalence of late-stage breast cancer at diagnosis. Methods: In this case only analysis, using an anonymised nationwide hospital based-cancer registry network, we identified women aged 18-89 years who had been diagnosed with an invasive breast cancer in Brazil during 2001-14. We extracted individual patient-level data on patient demographics, tumour variables, and health-care provider variables for the centre where the patient was diagnosed. Our objectives were to estimate the prevalence of late-stage breast cancer (TNM stage III or IV) at diagnosis overall, across age groups, and by ethnoracial and social strata (ie, self-reported ethnoracial group, as white, black, brown, Asian, or Indigenous, and educational level, marital status, and region of residence) across the study period, and compare these estimates with international data from high-income countries (Norway and the USA). We used logistic regression to estimate odds ratios (ORs) for late-stage versus early-stage (TNM stage I or II) breast cancer at diagnosis in relation to relevant exposures, either minimally adjusted (for age, year of diagnosis, and region of residence) or fully adjusted (for all patient, tumour, and health-care provider variables). Findings: We identified 247 719 women who were diagnosed with invasive breast cancer between Jan 1, 2001, and Dec 31, 2014, with a mean age at diagnosis of 55·4 years (SD 13·3), of whom 36·2% (n=89 550) identified as white, 29·8% (n=73 826) as black or brown, and 0·7% (n=1639) as Asian or Indigenous. Prevalence of late-stage breast cancer at diagnosis remained high throughout 2001-14, at approximately 40%, was inversely associated with educational level (p value for linear trend <0·0001), and was higher for women who identified as black (minimally adjusted OR 1·61, 95% CI 1·53-1·70; fully adjusted OR 1·45, 95% CI 1·38-1·54) and brown (minimally adjusted OR 1·26, 95% CI 1·22-1·30; fully adjusted OR 1·18, 1·14-1·23) than those who identified as white. The predicted prevalence of late-stage cancer at diagnosis was highest for women who were black or brown with little or no formal education (48·8%, 95% CI 48·2-49·5) and lowest for women who were white with university education (29·4%, 28·2-30·6), but both these prevalences were higher than that of all women diagnosed with breast cancer in Norway before the introduction of mammography screening (ie, 16·3%, 95% CI 15·4%-17·2% in 1970-74). Similar ethnoracial and social patterns emerged in analyses restricted to the age group targeted by screening (50-69 years). Interpretation: The persistently high prevalence of late-stage breast cancer at diagnosis across all ethnoracial and social strata in Brazil, although more substantially among the most disadvantaged populations, implies that early detection policies might have had little effect on breast cancer mortality so far, and highlights the need to focus primarily on timely diagnosis of symptomatic breast cancer rather than on screening for asymptomatic disease. Funding: Newton Fund, Research Councils UK, and Conselho Nacional das Fundações Estaduais de Amparo à Pesquisa.

The Lancet. Global health · 56 citationsread the source →

Pathophysiology of the risk factors associated with osteoporosis and their correlation to the T-score value in patients with osteopenia and osteoporosis in the United Arab Emirates

INTRODUCTION Osteoporosis is a bone disorder, characterized by loss of bone strength because of an imbalance between the bone resorption and the mechanisms of bone formation, leading to increased fragility and fractures. Pathophysiological mechanisms underlying this disorder include an inadequate formation response during the remodeling process of bone formation, which is an essential factor in osteoporosis pathogenesis. This inadequacy is due to the activation of large numbers of osteoclasts as a response to initiation of hematopoietic precursor cells with failure of normal interaction with the osteoblastic lineage. This will lead to excessive bone resorption that may result in complete loss of trabecular structure and loss of template for new bone formation. The time required for osteoblastic replacement is longer than the resorption phase of bone remodeling by osteoclasts. Therefore, any increase in bone remodeling will lead to damaged architecture and loss of bone mass.[1] Recently, it has been estimated that more than 200 million people worldwide have osteoporosis. On the basis of a statistics from the International Osteoporosis Foundation in 2017, one in five men and one in three women over the age of 50 years will experience fractures during their lifetime because of osteoporosis. Furthermore, it has been found that an osteoporotic fracture occurs every 3s, with the most common fractures occurring at the hip, spine, and wrist.[23] Osteoporotic fractures may be the first manifestation of the disease, which is why it is called a silent disease. Risk factors of osteoporosis, decreased bone mineral density (BMD), and increased fragility fractures may be modifiable or non-modifiable. Among the modifiable factors are low body mass index (BMI), vitamin D deficiency, low calcium intake, excessive caffeine and alcohol consumption, smoking, sedentary life and low physical activity, endocrine disorders (such as estrogen deficiency and insulin-dependent diabetes mellitus or hyperparathyroidism), some drugs (such as corticosteroids), and previous history of fragility fractures. The non-modifiable factors include female gender, family history, race, and early menopause.[45] According to the World Health Organization (WHO) diagnostic criteria, osteoporosis is diagnosed by BMD at the hip or spine, which is below the young normal mean reference population by 2.5 standard deviations (SDs) or more. This is called the T-score, and osteopenia is diagnosed by BMD less than or equal to 1 SD.[6] The guidelines for osteoporosis screening vary greatly in various publications. In general, most organizations recommend that all adults older than 50 years of age with a history of fracture must receive BMD screening.[7] Dual-energy X-ray absorptiometry (DXA) at the hip or spine is the best test for measuring central BMD. An association is present between the T-score values in DXA in patients with osteoporosis or osteopenia and the risk of fractures. A fracture risk assessment tool (FRAX) was designed. It is estimated that for every 1 SD decline in spine BMD, the risk of having a spine fracture increases 2.3 times and the risk of having a hip fracture increases 2.6 times.[89] As the most common bone disease in humans, the prevalence of osteoporosis is steadily increasing due to a growing elderly population, and thus represents a major public health concern with reduced bone strength and a higher risk of fractures.[68] The prevalence of osteoporosis is steadily escalating due to increased life expectancy as a result of developed health services. According to the 2016 WHO report, in the United Arab Emirates (UAE), life expectancy at birth for men was 76 years and for women it was 79 years.[10] The UAE population projection showed that in 2011, 7% of the population were 50 years of age or over and less than 1% were 70 years of age or over. By 2050, it is estimated that 12% of the population will be 50 years or over and 2% will be 70 years or over.[11] MATERIALS AND METHODS Study design The study was performed in accordance with the International Conference on Harmonisation Good Clinical Practice guidelines. Ethical approval number UG-H-18-11-7-10 was obtained from the Research Ethics Committee of the college. The study was conducted on a population sample of national and nonnational people in the UAE. Both men and women were recruited in the study. Data were collected from the patients in six governmental and private hospitals. Research tools A total of 200 male and female participants between the age of 25 and 80 years were recruited in the study. Eighty percent of the sample were women and 20% were men. After obtaining the required consent, each participant was asked to fill a structured questionnaire consisting of 25 questions, which was used as the primary tool for data collection. The questions were formulated both in Arabic and English, it required 3–4min to be completed. BMD of the participants was assessed in the International Radiology Centre and correlated with their data in the questionnaires. DXA scan was used for the measurement of BMD. Data collection and data analysis After ensuring strict confidentiality, data were collected between March 20, 2016 and May 20, 2016. The following information was obtained: Demographic data (gender, age, race, BMI, and occupation) Family history of osteoporosis or osteoporotic fractures Social history and lifestyle, physical activity, and exposure to the sun Dietary habits such as calcium, caffeine, and soft drinks intake Medical history of diseases and medicines. For female participants, number of pregnancies, lactation, and age at menopause were included The following criteria were used to evaluate osteoporosis: Normal BMD: if T-score between +2.5 and –1 Osteopenia: if T-score between –1 and –2.5 Osteoporosis: if T-score below –2.5 The filled questionnaires were coded and data were analyzed statistically using the Statistical Package for the Social Sciences (SPSS) software (version 24; IBM Corporation, Newyork, USA). Spearman’s correlation test was carried out to assess the association between different variables in the study. A P value of less than 0.05 was considered significant. RESULTS Sociodemographic data The sociodemographic background of the study participants is listed in Table 1. A total of 200 participants were included in the study. The control group and the osteoporotic group consisted of 100 participants each, 20% of them were men, whereas 80% of the respondents were women. Table 1: Background demographic data of the respondentsBody mass index The patients with osteoporosis have significantly lower BMI than the control group (P < 0.05). Results showed that 72% of them have a BMI less than 25 kg/m2 (P < 0.05) [Table 2] [Figure 1].Table 2: Body mass index of the respondentsFigure 1: Body mass index (kg/m2) of the respondentsSmoking behavior Regarding smoking behavior, a significant value was evident between smoking and osteoporosis (P < 0.01) as 54% of the patients with osteoporosis were current smokers, whereas 72% of the controls had never smoked before [Table 3] [Figure 2].Table 3: Smoking behavior and intake of milk, coffee, and soft drinks by the respondentsFigure 2: Intake of milk and caffeine and smoking behavior by the respondentsDietary calcium intake The intake of milk and dairy products by the participants was used to assess the dietary calcium intake. The patients with osteoporosis have a significant low calcium intake (P < 0.01), whereas non-osteoporotic control significantly consume more milk and dairy products (P < 0.01). A positive correlation was found between the intake of milk and dairy products and the T-score value of the participants (P < 0.05) [Table 3] [Figures 2 and 3].Figure 3: Correlation between milk intake and T-score in patients with osteoporosisCaffeine consumption Caffeine intake was evaluated in this study by the amount of coffee, tea, or soft drinks consumed by the participants each day. The results showed that the patients with osteoporosis significantly consume more caffeine (P < 0.01). A negative correlation is present between the amount of caffeine intake and T-score value of the participants (P < 0.05) [Table 3] [Figures 2, 4, and 5].Figure 4: Correlation between tea/coffee intake and T-score in patients with osteoporosisFigure 5: Correlation between soft drinks intake and T-score in patients with osteoporosisExercise behavior and exposure to the sun Results showed a significant positive correlation between the duration of exercise and the T-score value of the participants (P < 0.05) [Table 4] [Figure 6].Table 4: Exercise behavior and exposure to sun of the respondentsFigure 6: Correlation between exercise duration and T-score in patients with osteoporosisRegarding the exposure to the sun, the results showed that 96% of the patients with osteoporosis were exposed to the sun for less than 15min, three to four times a week or not exposed at all, whereas most of the normal controls (72%) exposed their bodies to the sun for 16–30min/day, three to four times a week [Table 4] [Figure 7].Figure 7: Sun exposure behavior of the respondentsDiseases and medications Results of the study revealed that 46% of the patients with osteoporosis were diabetic, 42% of them were treated by antidiabetics, 18% had arthritis and 38% had been treated previously by corticosteroids [Table 5].Table 5: Distribution of patients with osteoporosis by their diseases and medicationsNumber of pregnancies and breastfeeding Female participants constituted 80% of the study sample, 75% of the females with osteoporosis were menopausal, 75% of them had three or more pregnancies, and 82.5% of them breastfed their children, whereas these values for the control group participants are 30%, 28%, and 33%, respectively. Results showed a significant positive correlation between the age at menopause and the T-score value of females with osteoporosis (P < 0.05) [Table 6] [Figure 8]. The distribution of patients according to the joint affected by Osteoporosis or Osteopenia is shown in [Figure 9] and [Table 7].Table 6: Distribution of female patients with osteoporosis by number of pregnancies and breastfeedingFigure 8: Correlation between age at menopause and T-score in female patients with osteoporosisFigure 9: Distribution of patients having osteopenia or osteoporosis in wrists, hips, or spineTable 7: Distribution of patients having osteoporosis and/or osteopenia in hips, wrists, and spineDISCUSSION To maintain normal bone structure, a remodeling process that consists of osteoclasts, removing old bone, and osteoblasts, synthesizing new bone, occurs. Hematopoietic progenitors produce osteoclasts, whereas mesenchymal stem cells called marrow stromal fibroblasts produce osteoblasts. This process is controlled by certain circulating hormones, growth factors, and locally produced cytokines through their effects on apoptosis of osteoblasts and osteoclasts. Estrogen deficiency or glucocorticoid excess leads to bone loss because of changes in the production of bone cells. This is caused by the prolongation of the life span of osteoclasts and the shortening of the life span of osteoblasts. On the contrary, drugs that aim to treat or prevent osteoporosis prevent apoptosis of osteoblasts and/or stimulate the apoptosis of osteoclasts.[12] The pathogenesis of osteoporosis is the consequence of various hormonal, genetic, dietary, lifestyle, and physical factors. Genetic factors mainly affect the BMD and bone formation, whereas low levels of estrogen increase parathyroid hormone, and local cytokines are mainly responsible for bone remodeling imbalance.[13] Age and gender In this study, 76% of the patients with osteoporosis were women at or above 50 years of age. Osteoporosis is usually considered a disease of the elderly with low BMD. In a recent study, most of the patients with osteoporosis were in the age groups of 45–49 and 50–54 years.[14] Previous studies showed that women were at an increased risk of developing osteoporosis because of their faulty behavior of physical inactivity, sun-avoidance behavior, low intake of dairy products, and poor diets.[151617] Body mass index The results of this study showed a significant number of patients of osteoporosis with BMI <25 kg/m2, where P < 0.05. Women that have low BMI are at a higher risk of developing osteoporosis. It is reported that one unit change in BMI has a larger effect on the risk of developing osteoporosis than most other modifiable risk factors. To help reduce the risk of osteoporosis, patients should be advised to maintain a weight within the normal range.[1516] The risk of osteoporotic fractures increases in adults who have low BMI of less than 20 kg/m2.[18] On the contrary, patients who are obese (BMI >30 kg/m2) are also at a high risk of developing osteoporosis and fractures because of the risk of repeated falls and the weakness of the skeletal muscles due to loss of its mass as a result of aging.[19] Exercise and physical activity The results of this study showed a significant correlation between the exercise time and the T-score value. Previous studies concluded that physical activity and exercises stimulate skeletal growth and bone strength.[45] Estrogen Estrogen deficiency has a critical effect on the pathogenesis of osteoporosis. The results of this study showed a significant positive correlation between the age at menopause and the T-score value of the female patients. Estrogen has a crucial role in bone formation and physiology. It stimulates the production of T cell cytokines, affects the osteoblastic cell by altering its production of receptor activator of nuclear factor-Kappa B ligand (RANKL) or Osteoprotegerin (OPG), inhibits the differentiation of osteoclasts by direct action, and stimulates the formation of bone performed by osteoblasts and osteocytes, which allows them to enhance their ability to respond to mechanical forces.[2021] Estrogen produces its effect through a specific cell surface receptor called the estrogen receptor alpha (ERα). This receptor binds and then transports estrogen into the nucleus of the cell where certain genes are then activated by the receptor–hormone complex. ERα receptors and estrogen receptor–related receptor alpha (ERRα) are found on the surface of osteoblasts. ERRα may play a supporting role in the regulation of bone cells.[22] Previous studies also suggest that sex hormone–binding globulin may play a significant role in regulating bone cells as well because it facilitates entry of estrogen into cells.[23] Because of the natural drop of estrogen level in postmenopausal women, they are at the highest risk of developing osteoporosis. A previous study showed that it is an increase in bone resorption that might be the driving force for bone loss during estrogen deficiency in postmenopausal women not impaired bone formation as was previously thought.[1] However, other studies indicated that both markers of bone resorption and formation also increased, leading to accelerated bone remodeling at menopause.[2425] Calcium intake and vitamin D Calcium and vitamin D are two pivotal contributors of bone formation and mineralization. The results of this study showed that the patients with osteoporosis have a significant low calcium intake, whereas controls significantly consume more milk and dairy products (P < 0.01). This significant result showed the importance of calcium intake. Results also established a positive correlation between calcium intake and the T-score value of the participants. Vitamin D plays an important role in maintaining calcium homeostasis and bone integrity as it is essential for intestinal calcium absorption.[26] It is estimated that over one billion people around the world have vitamin D deficiency.[2728] Sun exposure is considered as the source of vitamin D, the present results showed a significant value (P < 0.01) as 74% of the patients with osteoporosis exposed their bodies to the sun for 5min or less, three to four times per week, whereas 72% of controls exposed their bodies to the sun for 15–30min, 3 to 4 times a week. A previous study conducted in the UAE showed that 58.2% of the UAE nationals were vitamin D deficient compared to 45% of the patients from other nationalities.[29] In spite of living in sunny areas, such as UAE, Saudi Arabia, and India, young populations have a high prevalence of vitamin D deficiency because of insufficient knowledge and practice of vitamin D and its health implications.[3031] Decreased blood calcium level will lead to secondary hyperparathyroidism. This decrease may result from impaired intestinal calcium absorption due to vitamin D deficiency, aging, or other diseases. Calcitriol, the active form of vitamin D, stimulates the intestinal absorption of calcium and phosphorus. It has an inhibitory effect on the synthesis of parathyroid hormone as well. Therefore, calcitriol deficiency will lead to secondary hyperparathyroidism as well.[32] There is a clear evidence that the risk of having an osteoporotic fracture increases when vitamin D levels are below 50 nmol.[3334] However, a recent study showed that pathological macrophages produced by vitamin D receptor signaling play an important role in the development of myelofibrosis.[35] Smoking The results of this study showed that nicotine has a significant effect on the incidence of osteoporosis (P < 0.01). Smoking has been identified as a modifiable risk factor for low BMD and increased osteoporotic fracture risk.[3637] Smoking behavior should be evaluated when assessing the fracture risk and FRAX.[1638] The role of smoking in decreasing BMD is complicated; smoking is shown to be associated with other risk factors for osteoporosis such as decreased physical activity, low BMI, and poor diet.[38] Nicotine has both direct and indirect effects on BMD. The direct effect is on bone cell proliferation and is described to be biphasic, small doses have a stimulatory effect, whereas toxic large doses have an antiproliferative effect on the proliferation of osteoblasts.[39] This effect on osteoblasts is receptor mediated by the nicotinic acetylcholine receptors, where nicotine in low doses upregulates gene expression of alkaline phosphatase, type 1 collagen, and osteocalcin.[40] Nicotine produces an increased level of tumor necrosis factor α (TNFα) secretion that reduces bone formation by osteoblasts and increases bone resorption by osteoclasts. TNFα has a powerful osteoclastogenic effect through its stimulating effect on RANKL production and by intensifying osteoclasts production.[41] It is strongly supported that RANK/RANKL/OPG systems have a role in regulating bone resorption and the formation of osteoclasts.[42] The main predisposing factor for chronic obstructive pulmonary disease (COPD) has been found to be smoking. The most important factor in managing COPD continues to be the termination of smoking.[43] It has been shown in numerous studies that smokers with COPD have elevated levels of pro-inflammatory cytokines in the form of interleukin-6. In addition, TNFα levels are much higher in COPD smokers than in asymptomatic smokers. This indicates that COPD affects local and systemic inflammatory responses, which in turn affects bone remodeling.[4445] Nicotine has an indirect effect on BMD, which is caused by releasing calcitropic hormones and glucocorticoids, which leads to an increase in bone resorption.[43] Furthermore, smoking has been linked to an increase in the level of cortisol[4446] as well as a decrease in the level of estradiol.[47] Nicotine also harms intestinal calcium absorption, which might lessen the effectiveness of dietary calcium supplements.[48] Also, toxic carcinogenic metabolites of nicotine have also been found to increase osteoclast formation in rats.[49] Moreover, one hip fracture in eight postmenopausal women with osteoporosis is attributable to smoking. This correlation could not be explained by early menopause, low BMI, lower levels of exercise, or by the actions of nicotine on estrogen. This indicates that there is an independent negative effect of nicotine on BMD, which means that smokers lose bone at a faster rate than nonsmokers.[50] CONCLUSION Prevalence of osteoporosis is high in the UAE and is expected to grow due to increased life expectancy and faulty lifestyle of inadequate dietary habits, sun exposure, exercise behavior, and smoking. More intervention should be directed toward changing the modifiable risk factors in the patients with osteoporosis, and more studies should be directed toward osteoporosis in the UAE. Limitations of the study To make the study a polycentric research, it would require greater number of participants from all the emirates of the UAE. Financial support and sponsorship This work is self-funded by the authors. Conflicts of interest There are no conflicts of interest.

Journal of Pharmacy And Bioallied Sciences · 11 citationsread the source →

Problematic internet use in adolescents and implementation of a social media hygiene protocol.

Purpose: This quality improvement project aimed to evaluate whether a social media hygiene education intervention designed for adolescents with problematic internet use (PIU) receiving treatment at a pediatric outpatient mental health clinic reduced PIU and/or improved mental health outcomes in adolescents. Methods: Participants were 28 adolescents (71.4% females, mean age = 14.2 years) with PIU seeking outpatient mental health treatment. The most common associated diagnoses were anxiety (42.9%) and attention-deficit activity disorder (28.6%). A within-adolescent pre-post design was used to evaluate changes in PIU severity measured by the Generalized Problematic Internet Use Scale-2 (GPIUS-2), depression and anxiety severity was assessed by the Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS), and screen time defined as the average hours/day during past 7-days recorded of the adolescent's smartphone. The practice change was an ad hoc social media hygiene education intervention conducted by their provider over five, once-a-week, one-hour telehealth sessions. Results: A significant reduction in screen time (paired t = 10.14, df = 27, p < 0.001), severity of PIU (paired t = 12.07, df = 27, p < 0.001), and severity of depression and/or anxiety symptoms (paired t = 8.3, df = 27, p < 0.001) was demonstrated. Large effect sizes were observed (Cohen d = 1.6 to 2.3). Attendance for each session was 100% for Weeks 1, 2 and 5, 93% for Week 3 and 89% for Week 4. Conclusion: The findings suggest administration of a social-media hygiene protocol conducted via telehealth may reduce the severity of PIU and improve mental health outcomes in adolescents seeking outpatient mental health treatment.

Journal of pediatric nursing · 5 citationsread the source →

The immediate eff ect of the Same-Sex Marriage Prohibition Act on stigma, discrimination, and engagement on HIV prevention and treatment services in men who have sex with men in Nigeria: analysis of prospective data from the TRUST cohort.

Background: In January, 2014, the Same-Sex Marriage Prohibition Act was signed into law in Nigeria, further criminalising same-sex sexual relationships. We aimed to assess the immediate effect of this prohibition act on stigma, discrimination, and engagement in HIV prevention and treatment services in men who have sex with men (MSM) in Nigeria. Methods: The TRUST cohort study uses respondent-driven sampling to assess the feasibility and effectiveness of engagement of MSM in HIV prevention and treatment services at a clinical site located with a community-based organisation trusted by the MSM community. TRUST is a prospective implementation research cohort of MSM (≥16 years) in Abuja, Nigeria. We compared HIV clinical outcomes and stigma, including fear and avoidance of health care, across baseline and quarterly visits before and after implementation of the the Same-Sex Marriage Prohibition Act. Outcomes assessed were measures of stigma and discrimination, loss to follow-up, antiretroviral therapy status, and viral load. We compared outcomes before and after the legislation with χ2 statistics, and estimated incident stigma-related events and loss to follow-up with Poisson regression. Findings: Between March 19, 2013, and Aug 7, 2014, 707 MSM participated in baseline study procedures, contributing to 756 before legislation (prelaw) and 420 after legislation (postlaw) visits. Reported history of fear of seeking health care was significantly higher in postlaw visits than in prelaw visits (n=161 [38%] vs n=187 [25%]; p<0・0001), as was avoidance of health care (n=118 [28%] vs n=151 [20%]; p=0・001). In incidence analyses, of 192 MSM with follow-up data and no history of an event at baseline, reported fear of seeking health care was higher in the postlaw than the prelaw period (n=144; incidence rate ratio 2・57, 95% CI 1・29–5・10; p=0・007); loss to follow-up and incident healthcare avoidance were similar across periods. Of the 161 (89%) of 181 HIV-infected MSM with HIV viral loads available, those who had disclosed sexual behaviour with a health-care provider were more often virally suppressed at baseline than those with no previous disclosure (18 [29%] of 62 vs 13 [13%] of 99 men; p=0・013). Interpretation: These analyses represent individual-level, quantitative, real-time prospective data for the health-related effects resulting from the enactment of legislation further criminalising same-sex practices. The negative effects of HIV treatment and care in MSM reinforce the unintended consequences of such legislation on global goals of HIV eradication. Strategies to reach MSM less likely to engage in HIV testing and care in highly stigmatised environments are needed to reduce time to HIV diagnosis and treatment. Funding: National Institutes of Health.

The lancet. HIV · 161 citationsread the source →

Prevalence of comorbidities in rheumatoid arthritis and evaluation of their monitoring: results of an international, cross-sectional study (COMORA).

Background: PATIENTS with rheumatoid arthritis (RA) are at increased risk of developing comorbid conditions. Objectives: To evaluate the prevalence of comorbidities and compare their management in RA patients from different countries worldwide. Methods: Study design: international, cross-sectional. Patients: consecutive RA patients. Data collected: demographics, disease characteristics (activity, severity, treatment), comorbidities (cardiovascular, infections, cancer, gastrointestinal, pulmonary, osteoporosis and psychiatric disorders). Results: Of 4586 patients recruited in 17 participating countries, 3920 were analysed (age, 56±13 years; disease duration, 10±9 years (mean±SD); female gender, 82%; DAS28 (Disease Activity Score using 28 joints)-erythrocyte sedimentation rate, 3.7±1.6 (mean±SD); Health Assessment Questionnaire, 1.0±0.7 (mean±SD); past or current methotrexate use, 89%; past or current use of biological agents, 39%. The most frequently associated diseases (past or current) were: depression, 15%; asthma, 6.6%; cardiovascular events (myocardial infarction, stroke), 6%; solid malignancies (excluding basal cell carcinoma), 4.5%; chronic obstructive pulmonary disease, 3.5%. High intercountry variability was observed for both the prevalence of comorbidities and the proportion of subjects complying with recommendations for preventing and managing comorbidities. The systematic evaluation of comorbidities in this study detected abnormalities in vital signs, such as elevated blood pressure in 11.2%, and identified conditions that manifest as laboratory test abnormalities, such as hyperglycaemia in 3.3% and hyperlipidaemia in 8.3%. Conclusions: Among RA patients, there is a high prevalence of comorbidities and their risk factors. In this multinational sample, variability among countries was wide, not only in prevalence but also in compliance with recommendations for preventing and managing these comorbidities. Systematic measurement of vital signs and laboratory testing detects otherwise unrecognised comorbid conditions.

Annals of the rheumatic diseases · 571 citationsread the source →

Mental disorders in primary care: prevalence and co-morbidity among disorders. results from the functional illness in primary care (FIP) study.

Background: Prevalence and co-occurrence of mental disorders is high among patients consulting their family general practitioner (GP) for a new health problem, but data on diagnostics and socio-demographics are sketchy. Method: A cross-sectional two-phase epidemiological study. A total of 1785 consecutive patients with new complaints, aged 18-65 years, consulting 28 family practices during March-April 2000 in Aarhus County, Denmark were screened, in the waiting room, for mental and somatic symptoms with SCL-8 and SCL-Somatization questionnaires, for illness worry with Whitely-7 and for alcohol dependency with CAGE. In a stratified random sample of 701 patients, physician interviewers established ICD-10 diagnoses using the SCAN interview. Prevalence was calculated using weighted logistic regression, thus correcting for sample skewness. Results: Half of the patients fulfilled criteria for an ICD-10 mental disorders and a third of these for more than one group of disorders. Women had higher prevalence of somatization disorder and overall mental disorders than men. Men had higher prevalence of alcohol abuse and hypochondriasis than women. Psychiatric morbidity tended to increase with age. Prevalence of somatoform disorders was 35.9% (95% CI 30.4-41.9), anxiety disorders 164% (95% CI 12.7-20.9), mood disorders 13.5% (95% CI 11.1-16.3), organic mental disorders 3.1% (95% CI 1.6-5.7) and alcohol abuse 2.2% (95% CI 1.5-3.1). Co-morbidities between these groups were highest for anxiety disorders, where 89% also had another mental diagnosis, and lowest for somatoform disorders with 39%. Conclusions: ICD-10 mental disorders are very prevalent in primary care and there is a high co-occurrence between most disorders. Somatoform disorders, however, more often than not exist without other mental disorders.

Psychological medicine · 163 citationsread the source →