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Risk factors for non-suicidal self-injury (NSSI) in adolescents: A meta-analysis.

Background: Non-suicidal self-injury (NSSI) in adolescents is a significant mental health problem around the world. Here, we performed a meta-analysis to systematically delineate the risk factors for NSSI. Method: We searched Medline, Embase, Web of Science and Cochrane for relevant articles and abstracts published prior to 12 November 2021. Pooled odds ratios (ORs) and 95% confident intervals (CIs) were used to assess various risk factors, and publication bias was assessed by Egger's test, the trim and fill method and meta-regression. This study is registered with PROSPERO, CRD42021265885. Results: A total of 25 articles were eventually included in the analysis. Eighty risk factors were identified and classified into 7 categories: mental disorders (ORs, 1·89; 95% CI, 1·60-2·24), bullying (ORs, 1·98; 95% CI, 1·32-2·95), low health literacy (ORs, 2·20; 95% CI, 1·63-2·96), problem behaviours (ORs, 2·36; 95% CI, 2·00-2·77), adverse childhood experiences (ORs, 2·49; 95% CI, 1·85-3.34), physical symptoms (ORs, 2·85; 95% CI, 1·36-5·97) and the female gender (ORs, 2·89; 95% CI, 2·43-3·43). The range of heterogeneity (I2) was from 20·3% to 99·2%. Conclusion: This meta-analysis found that mental disorders, low health literacy, adverse childhood experiences, bullying, problem behaviours, the female gender and physical symptoms appear to be risk factors for NSSI.

EClinicalMedicine · 170 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 →

Effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse or recurrence (PREVENT): a randomised controlled trial

BACKGROUND: Individuals with a history of recurrent depression have a high risk of repeated depressive relapse or recurrence. Maintenance antidepressants for at least 2 years is the current recommended treatment, but many individuals are interested in alternatives to medication. Mindfulness-based cognitive therapy (MBCT) has been shown to reduce risk of relapse or recurrence compared with usual care, but has not yet been compared with maintenance antidepressant treatment in a definitive trial. We aimed to see whether MBCT with support to taper or discontinue antidepressant treatment (MBCT-TS) was superior to maintenance antidepressants for prevention of depressive relapse or recurrence over 24 months. METHODS: In this single-blind, parallel, group randomised controlled trial (PREVENT), we recruited adult patients with three or more previous major depressive episodes and on a therapeutic dose of maintenance antidepressants, from primary care general practices in urban and rural settings in the UK. Participants were randomly assigned to either MBCT-TS or maintenance antidepressants (in a 1:1 ratio) with a computer-generated random number sequence with stratification by centre and symptomatic status. Participants were aware of treatment allocation and research assessors were masked to treatment allocation. The primary outcome was time to relapse or recurrence of depression, with patients followed up at five separate intervals during the 24-month study period. The primary analysis was based on the principle of intention to treat. The trial is registered with Current Controlled Trials, ISRCTN26666654. FINDINGS: Between March 23, 2010, and Oct 21, 2011, we assessed 2188 participants for eligibility and recruited 424 patients from 95 general practices. 212 patients were randomly assigned to MBCT-TS and 212 to maintenance antidepressants. The time to relapse or recurrence of depression did not differ between MBCT-TS and maintenance antidepressants over 24 months (hazard ratio 0·89, 95% CI 0·67-1·18; p=0·43), nor did the number of serious adverse events. Five adverse events were reported, including two deaths, in each of the MBCT-TS and maintenance antidepressants groups. No adverse events were attributable to the interventions or the trial. INTERPRETATION: We found no evidence that MBCT-TS is superior to maintenance antidepressant treatment for the prevention of depressive relapse in individuals at risk for depressive relapse or recurrence. Both treatments were associated with enduring positive outcomes in terms of relapse or recurrence, residual depressive symptoms, and quality of life. FUNDING: National Institute for Health Research (NIHR) Health Technology Assessment (HTA) programme, and NIHR Collaboration for Leadership in Applied Health Research and Care South West Peninsula.

The Lancet · randomised controlled trial · 531 citationsread the source →

Screening and brief intervention for obesity in primary care: a parallel, two-arm, randomised trial.

Background: Obesity is a common cause of non-communicable disease. Guidelines recommend that physicians screen and offer brief advice to motivate weight loss through referral to behavioural weight loss programmes. However, physicians rarely intervene and no trials have been done on the subject. We did this trial to establish whether physician brief intervention is acceptable and effective for reducing bodyweight in patients with obesity. Methods: In this parallel, two-arm, randomised trial, patients who consulted 137 primary care physicians in England were screened for obesity. Individuals could be enrolled if they were aged at least 18 years, had a body-mass index of at least 30 kg/m2 (or at least 25 kg/m2 if of Asian ethnicity), and had a raised body fat percentage. At the end of the consultation, the physician randomly assigned participants (1:1) to one of two 30 s interventions. Randomisation was done via preprepared randomisation cards labelled with a code representing the allocation, which were placed in opaque sealed envelopes and given to physicians to open at the time of treatment assignment. In the active intervention, the physician offered referral to a weight management group (12 sessions of 1 h each, once per week) and, if the referral was accepted, the physician ensured the patient made an appointment and offered follow-up. In the control intervention, the physician advised the patient that their health would benefit from weight loss. The primary outcome was weight change at 12 months in the intention-to-treat population, which was assessed blinded to treatment allocation. We also assessed asked patients' about their feelings on discussing their weight when they have visited their general practitioner for other reasons. Given the nature of the intervention, we did not anticipate any adverse events in the usual sense, so safety outcomes were not assessed. This trial is registered with the ISRCTN Registry, number ISRCTN26563137. Findings: Between June 4, 2013, and Dec 23, 2014, we screened 8403 patients, of whom 2728 (32%) were obese. Of these obese patients, 2256 (83%) agreed to participate and 1882 were eligible, enrolled, and included in the intention-to-treat analysis, with 940 individuals in the support group and 942 individuals in the advice group. 722 (77%) individuals assigned to the support intervention agreed to attend the weight management group and 379 (40%) of these individuals attended, compared with 82 (9%) participants who were allocated the advice intervention. In the entire study population, mean weight change at 12 months was 2·43 kg with the support intervention and 1·04 kg with the advice intervention, giving an adjusted difference of 1·43 kg (95% CI 0·89-1·97). The reactions of the patients to the general practitioners' brief interventions did not differ significantly between the study groups in terms of appropriateness (adjusted odds ratio 0·89, 95% CI 0·75-1·07, p=0·21) or helpfulness (1·05, 0·89-1·26, p=0·54); overall, four (<1%) patients thought their intervention was inappropriate and unhelpful and 1530 (81%) patients thought it was appropriate and helpful. Interpretation: A behaviourally-informed, very brief, physician-delivered opportunistic intervention is acceptable to patients and an effective way to reduce population mean weight. Funding: The UK National Prevention Research Initiative.

Lancet (London, England) · editorial or comment · 188 citationsread the source →

Childhood maltreatment and unfavourable clinical outcomes in bipolar disorder: a systematic review and meta-analysis.

Background: Bipolar disorder affects up to one in 25 individuals and identification of early risk indicators of negative outcomes could facilitate early detection of patients with greatest clinical needs and risk. We aimed to investigate the association between childhood maltreatment and key negative outcomes in patients with bipolar disorder. Methods: For this systematic review and meta-analysis we searched MEDLINE, PsycINFO, and Embase to identify articles published before Jan 1, 2015, examining the association of maltreatment (physical, sexual, or emotional abuse, neglect, or family conflict) before age 18 years with clinical features and course of illness in bipolar disorder. Data were extracted from published reports and any missing information was requested from investigators. We did 12 independent random-effects meta-analyses to quantify the associations between childhood maltreatment and course of illness or clinical features. Findings: We initially identified 527 records and after unsuitable studies were removed, our search yielded 148 publications of which 30 were used in the meta-analysis. Patients with bipolar disorder and history of childhood maltreatment had greater mania severity (six studies, 780 participants; odds ratio [OR] 2·02, 95% CI 1·21-3·39, p=0·008), greater depression severity (eight studies, 1007 participants; 1·57, 1·25-1·99, p=0·0001), greater psychosis severity (seven studies, 1494 participants; 1·49, 1·10-2·04, p=0·011), higher risk of comorbidity with post-traumatic stress disorder (eight studies, 2494 participants; 3·60, 2·45-5·30, p<0·0001), anxiety disorders (seven studies, 5091 participants; 1·90, 1·39-2·61, p<0·0001), substance misuse disorders (11 studies, 5469 participants; 1·84, 1·41-2·39, p<0·0001), alcohol misuse disorder (eight studies, 5040 participants; 1·44, 1·13-1·83, p=0·003), earlier age of bipolar disorder onset (14 studies, 5733 participants; 1·85, 1·43-2·40, p<0·0001), higher risk of rapid cycling (eight studies, 3010 participants; 1·89, 1·45-2·48, p<0·0001), greater number of manic episodes (seven studies, 3909 participants; 1·26, 1·09-1·47, p=0·003), greater number of depressive episodes (eight studies, 4025 participants; 1·38, 1·07-1·79, p=0·013), and higher risk of suicide attempt (13 studies, 3422 participants; 2·25, 1·88-2·70, p<0·0001) compared with those with bipolar disorder without childhood maltreatment. Overall, these associations were not explained by publication bias, undue effects of individual studies, or variation in study quality. Interpretation: Childhood maltreatment predicts unfavourable clinical features and course of illness in patients with bipolar disorder. Funding: None.

The lancet. Psychiatry · meta-analysis · 278 citationsread the source →

Comparison of paediatric emergency department visits for attempted suicide, self-harm, and suicidal ideation before and during the COVID-19 pandemic: a systematic review and meta-analysis.

Background: There is a lack of consensus about the effect of the COVID-19 pandemic on the mental health of children and adolescents. We aimed to compare rates of paediatric emergency department visits for attempted suicide, self-harm, and suicidal ideation during the pandemic with those before the pandemic. Methods: For this systematic review and meta-analysis, we searched MEDLINE, Embase, and PsycINFO for studies published between Jan 1, 2020, and Dec 19, 2022. Studies published in English with data on paediatric (ie, those aged <19 years) emergency department visits before and during the COVID-19 pandemic were included. Case studies and qualitative analyses were excluded. Changes in attempted suicide, self-harm, suicidal ideation, and other mental-illness indicators (eg, anxiety, depression, and psychosis) were expressed as ratios of the rates of emergency department visits during the pandemic compared with those before the pandemic, and we analysed these with a random-effects meta-analysis. This study was registered with PROSPERO, CRD42022341897. Findings: 10 360 non-duplicate records were retrieved, which yielded 42 relevant studies (with 130 sample-estimates) representing 11·1 million emergency department visits for all indications of children and adolescents across 18 countries. The mean age of the samples of children and adolescents across studies was 11·7 years (SD 3·1, range 5·5-16·3), and there were on average 57·6% girls and 43·4% boys as a proportion of emergency department visits for any health reasons (ie, physical and mental). Only one study had data related to race or ethnicity. There was good evidence of an increase in emergency department visits for attempted suicide during the pandemic (rate ratio 1·22, 90% CI 1·08-1·37), modest evidence of an increase in emergency department visits for suicidal ideation (1·08, 0·93-1·25), and good evidence for only a slight change in self-harm (0·96, 0·89-1·04). Rates of emergency department visits for other mental-illness indications showed very good evidence of a decline (0·81, 0·74-0·89), and paediatric visits for all health indications showed strong evidence of a reduction (0·68, 0·62-0·75). When rates for attempted suicide and suicidal ideation were combined as a single measure, there was good evidence of an increase in emergency department visits among girls (1·39, 1·04-1·88) and only modest evidence of an increase among boys (1·06, 0·92-1·24). Self-harm among older children (mean age 16·3 years, range 13·0-16·3) showed good evidence of an increase (1·18, 1·00-1·39), but among younger children (mean age 9·0 years, range 5·5-12·0) there was modest evidence of a decrease (0·85, 0·70-1·05). Interpretation: The integration of mental health support within community health and the education system-including promotion, prevention, early intervention, and treatment-is urgently needed to increase the reach of mental health support that can mitigate child and adolescent mental distress. In future pandemics, increased resourcing in some emergency department settings would help to address their expected increase in visits for acute mental distress among children and adolescents. Funding: None.

The lancet. Psychiatry · meta-analysis · 164 citationsread the source →

Effects of non-health-targeted policies on migrant health: a systematic review and meta-analysis.

Background: Government policies can strongly influence migrants' health. Using a Health in All Policies approach, we systematically reviewed evidence on the impact of public policies outside of the health-care system on migrant health. Methods: We searched the PubMed, Embase, and Web of Science databases from Jan 1, 2000, to Sept 1, 2017, for quantitative studies comparing the health effects of non-health-targeted public policies on migrants with those on a relevant comparison population. We searched for articles written in English, Swedish, Danish, Norwegian, Finnish, French, Spanish, or Portuguese. Qualitative studies and grey literature were excluded. We evaluated policy effects by migration stage (entry, integration, and exit) and by health outcome using narrative synthesis (all included studies) and random-effects meta-analysis (all studies whose results were amenable to statistical pooling). We summarised meta-analysis outcomes as standardised mean difference (SMD, 95% CI) or odds ratio (OR, 95% CI). To assess certainty, we created tables containing a summary of the findings according to the Grading of Recommendations Assessment, Development, and Evaluation. Our study was registered with PROSPERO, number CRD42017076104. Findings: We identified 43 243 potentially eligible records. 46 articles were narratively synthesised and 19 contributed to the meta-analysis. All studies were published in high-income countries and examined policies of entry (nine articles) and integration (37 articles). Restrictive entry policies (eg, temporary visa status, detention) were associated with poor mental health (SMD 0·44, 95% CI 0·13-0·75; I2=92·1%). In the integration phase, restrictive policies in general, and specifically regarding welfare eligibility and documentation requirements, were found to increase odds of poor self-rated health (OR 1·67, 95% CI 1·35-1·98; I2=82·0%) and mortality (1·38, 1·10-1·65; I2=98·9%). Restricted eligibility for welfare support decreased the odds of general health-care service use (0·92, 0·85-0·98; I2=0·0%), but did not reduce public health insurance coverage (0·89, 0·71-1·07; I2=99·4%), nor markedly affect proportions of people without health insurance (1·06, 0·90-1·21; I2=54·9%). Interpretation: Restrictive entry and integration policies are linked to poor migrant health outcomes in high-income countries. Efforts to improve the health of migrants would benefit from adopting a Health in All Policies perspective. Funding: Swedish Council for Health, Working Life, and Social Research; UK Medical Research Council; Scottish Government Chief Scientist Office.

The Lancet. Global health · meta-analysis · 123 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 →

Changes in language use mediate expressive writing's benefits on health-related quality of life following myocardial infarction.

The present study assessed linguistic mediators on the effects of expressive writing on health-related quality of life (HRQOL), depression and anxiety following myocardial infarction (MI). One hundred and twenty-one cardiac patients were randomised (expressive writing = 61; control = 60), 98 (expressive writing = 47; control = 51) provided pre- and post-data, with 89 (expressive writing = 43; control = 46) completing the three-month follow-up. The expressive writing group wrote (20 mins/day for three consecutive days) about their thoughts and feelings regarding their MI, and the control group wrote (20 mins/day for three consecutive days) about daily events that occurred during the year prior to the MI. The outcome measures of depression, anxiety and HRQOL were completed pre-randomisation, post-intervention and three months post-intervention; the mediating variables assessed were changes in (a) positive emotion words, (b) negative emotion words and (c) cognitive-processing words. Three months post-intervention, the expressive writing group had significantly higher HRQOL. The positive effects of expressive writing were significantly associated with increases in both positive emotion words and cognitive-processing words across the three days of expressive writing. Expressive writing is a beneficial intervention that may enhance HRQOL among cardiac patients.

Health psychology and behavioral medicine · 3 citationsread the source →

Psychotherapy for depression in older veterans via telemedicine: a randomised, open-label, non-inferiority trial.

Background: Many older adults with major depression, particularly veterans, do not have access to evidence-based psychotherapy. Telemedicine could increase access to best-practice care for older adults facing barriers of mobility, stigma, and geographical isolation. We aimed to establish non-inferiority of behavioural activation therapy for major depression delivered via telemedicine to same-room care in largely male, older adult veterans. Methods: In this randomised, controlled, open-label, non-inferiority trial, we recruited veterans (aged ≥58 years) meeting DSM-IV criteria for major depressive disorder from the Ralph H Johnson Veterans Affairs Medical Center and four associated community outpatient-based clinics in the USA. We excluded actively psychotic or demented people, those with both suicidal ideation and clear intent, and those with substance dependence. The study coordinator randomly assigned participants (1:1; block size 2-6; stratified by race; computer-generated randomisation sequence by RGK) to eight sessions of behavioural activation for depression either via telemedicine or in the same room. The primary outcome was treatment response according to the Geriatric Depression Scale (GDS) and Beck Depression Inventory (BDI; defined as a 50% reduction in symptoms from baseline at 12 months), and Structured Clinical Interview for DSM-IV, clinician version (defined as no longer being diagnosed with major depressive disorder at 12 months follow-up), in the per-protocol population (those who completed at least four treatment sessions and for whom all outcome measurements were done). Those assessing outcomes were masked. The non-inferiority margin was 15%. This trial is registered with ClinicalTrials.gov, number NCT00324701. Findings: Between April 1, 2007, and July 31, 2011, we screened 780 patients, and the study coordinator randomly assigned participants to either telemedicine (120 [50%]) or same-room treatment (121 [50%]). We included 100 (83%) patients in the per-protocol analysis in the telemedicine group and 104 (86%) in the same-room group. Treatment response according to GDS did not differ significantly between the telemedicine (22 [22·45%, 90% CI 15·52-29·38] patients) and same-room (21 [20·39%, 90% CI 13·86-26·92]) groups, with an absolute difference of 2·06% (90% CI -7·46 to 11·58). Response according to BDI also did not differ significantly (telemedicine 19 [24·05%, 90% CI 16·14-31·96] patients; same room 19 [23·17%, 90% CI 15·51-30·83]), with an absolute difference of 0·88% (90% CI -10·13 to 11·89). Response on the Structured Clinical Interview for DSM-IV, clinician version, also did not differ significantly (39 [43·33%, 90% CI 34·74-51·93] patients in the telemedicine group and 46 [48·42%, 90% CI 39·99-56·85] in the same-room group), with a difference of -5·09% (-17·13 to 6·95; p=0·487). Results from the intention-to-treat population were similar. MEM analyses showed that no significant differences existed between treatment trajectories over time for BDI and GDS. The criteria for non-inferiority were met. We did not note any adverse events. Interpretation: Telemedicine-delivered psychotherapy for older adults with major depression is not inferior to same-room treatment. This finding shows that evidence-based psychotherapy can be delivered, without modification, via home-based telemedicine, and that this method can be used to overcome barriers to care associated with distance from and difficulty with attendance at in-person sessions in older adults. Funding: US Department of Veterans Affairs.

The lancet. Psychiatry · randomised controlled trial · 123 citationsread the source →

A co-designed mHealth programme to support healthy lifestyles in Māori and Pasifika peoples in New Zealand (OL@-OR@): a cluster-randomised controlled trial.

Background: The OL@-OR@ mobile health programme was co-designed with Māori and Pasifika communities in New Zealand, to support healthy lifestyle behaviours. We aimed to determine whether use of the programme improved adherence to health-related guidelines among Māori and Pasifika communities in New Zealand compared with a control group on a waiting list for the programme. Methods: The OL@-OR@ trial was a 12-week, two-arm, cluster-randomised controlled trial. A cluster was defined as any distinct location or setting in New Zealand where people with shared interests or contexts congregated, such as churches, sports clubs, and community groups. Members of a cluster were eligible to participate if they were aged 18 years or older, had regular access to a mobile device or computer, and had regular internet access. Clusters of Māori and of Pasifika (separately) were randomly assigned (1:1) to either the intervention or control condition. The intervention group received the OL@-OR@ mHealth programme (smartphone app and website). The control group received a control version of the app that only collected baseline and outcome data. The primary outcome was self-reported adherence to health-related guidelines, which were measured with a composite health behaviour score (of physical activity, smoking, alcohol intake, and fruit and vegetable intake) at 12 weeks. The secondary outcomes were self-reported adherence to health-related behaviour guidelines at 4 weeks; self-reported bodyweight at 12 weeks; and holistic health and wellbeing status at 12 weeks, in all enrolled individuals in eligible clusters; and user engagement with the app, in individuals allocated to the intervention. Adverse events were not collected. This study is registered with the Australian New Zealand Clinical Trials Registry, ACTRN12617001484336. Findings: Between Jan 24 and Aug 14, 2018, we enrolled 337 Māori participants from 19 clusters and 389 Pasifika participants from 18 clusters (n=726 participants) in the intervention group and 320 Māori participants from 15 clusters and 405 Pasifika participants from 17 clusters (n=725 participants) in the control group. Of these participants, 227 (67%) Māori participants and 347 (89%) Pasifika participants (n=574 participants) in the intervention group and 281 (88%) Māori participants and 369 (91%) Pasifika participants (n=650 participants) in the control group completed the 12-week follow-up and were included in the final analysis. Relative to baseline, adherence to health-related behaviour guidelines increased at 12 weeks in both groups (315 [43%] of 726 participants at baseline to 329 [57%] of 574 participants in the intervention group; 331 [46%] of 725 participants to 369 [57%] of 650 participants in the control group); however, there was no significant difference between intervention and control groups in adherence at 12 weeks (odds ratio [OR] 1·13; 95% CI 0·84-1·52; p=0·42). Furthermore, the proportion of participants adhering to guidelines on physical activity (351 [61%] of 574 intervention group participants vs 407 [63%] of 650 control group participants; OR 1·03, 95% CI 0·73-1·45; p=0·88), smoking (434 [76%] participants vs 501 [77%] participants; 1·12, 0·67-1·87; p=0·66), alcohol consumption (518 [90%] participants vs 596 [92%] participants; 0·73, 0·37-1·44; p=0·36), and fruit and vegetable intake (194 [34%] participants vs 196 [30%] participants; 1·08, 0·79-1·49; p=0·64) did not differ between groups. We found no significant differences between the intervention and control groups in any secondary outcome. 147 (26%) intervention group participants engaged with the OL@-OR@ programme (ie, set at least one behaviour change goal online). Interpretation: The OL@-OR@ mobile health programme did not improve adherence to health-related behaviour guidelines amongst Māori and Pasifika individuals. Funding: Healthier Lives He Oranga Hauora National Science Challenge.

The Lancet. Digital health · randomised controlled trial · 45 citationsread the source →

Promoting school climate and health outcomes with the SEHER multi-component secondary school intervention in Bihar, India: a cluster-randomised controlled trial.

Background: School environments affect health and academic outcomes. With increasing secondary school retention in low-income and middle-income countries, promoting quality school social environments could offer a scalable opportunity to improve adolescent health and wellbeing. Methods: We did a cluster-randomised trial to assess the effectiveness of a multi-component whole-school health promotion intervention (SEHER) with integrated economic and process evaluations in grade 9 students (aged 13-14 years) at government-run secondary schools in the Nalanda district of Bihar state, India. Schools were randomly assigned (1:1:1) to three groups: the SEHER intervention delivered by a lay counsellor (the SEHER Mitra [SM] group), the SEHER intervention delivered by a teacher (teacher as SEHER Mitra [TSM] group), and a control group in which only the standard government-run classroom-based life-skills Adolescence Education Program was implemented. The primary outcome was school climate measured with the Beyond Blue School Climate Questionnaire (BBSCQ). Students were assessed at the start of the academic year (June, 2015) and again 8 months later at the end of the academic year (March, 2016) via self-completed questionnaires. This study is registered with ClinicalTrials.gov, number NCT02484014. Findings: Of the 112 eligible schools in the Nalanda district, 75 were randomly selected to participate in the trial. We randomly assigned 25 schools to each of the three groups. One school subsequently dropped out of the TSM group, leaving 24 schools in this group. The baseline survey included a total of 13 035 participants, and the endpoint survey included 14 414 participants. Participants in the SM-delivered intervention schools had substantially higher school climate scores at endpoint survey than those in the control group (BBSCQ baseline-adjusted mean difference [aMD] 7·57 [95% CI 6·11-9·03]; effect size 1·88 [95% CI 1·44-2·32], p<0·0001) and the TSM-delivered intervention (aMD 7·57 [95% CI 6·06-9·08]; effect size 1·88 [95% CI 1·43-2·34], p<0·0001). There was no effect of the TSM-delivered intervention compared with control (aMD -0·009 [95% CI -1·53 to 1·51], effect size 0·00 [95% CI -0·45 to 0·44], p=0·99). Compared with the control group, participants in the SM-delivered intervention schools had moderate to large improvements in the secondary outcomes of depression (aMD -1·23 [95% CI -1·89 to -0·57]), bullying (aMD -0·91 [95% CI -1·15 to -0·66]), violence victimisation (odds ratio [OR] 0·62 [95% CI 0·46-0·84]), violence perpetration (OR 0·68 [95% CI 0·48-0·96]), attitude towards gender equity (aMD 0·41 [95% CI 0·21-0·61]), and knowledge of reproductive and sexual health (aMD 0·29 [95% CI 0·06-0·53]). Similar results for these secondary outcomes were noted for the comparison between SM-delivered intervention schools and TSM-delivered intervention schools (depression: aMD -1·23 [95% CI -1·91 to -0·55]; bullying: aMD -0·83 [95% CI -1·08 to -0·57]; violence victimisation: OR 0·49 [95% CI 0·35-0·67]; violence perpetration: OR 0·49 [95% CI 0·34-0·71]; attitude towards gender equity: aMD 0·23 [95% CI 0·02-0·44]; and knowledge of reproductive and sexual health: aMD 0·22 [95% CI -0·02 to 0·47]). However, no effects on these secondary outcomes were observed for the TSM-delivered intervention schools compared with the control group (depression: aMD -0·03 [95% CI -0·70 to 0·65]; bullying: aMD -0·08 [95% CI -0·34 to 0·18]; violence victimisation: OR 1·27 [95% CI 0·93-1·73]; violence perpetration: OR 1·37 [95% CI 0·95-1·95]; attitude towards gender equity: aMD 0·17 [95% CI -0·09 to 0·38]; and knowledge of reproductive and sexual health: aMD 0·06 [95% CI -0·18 to 0·32]). Interpretation: The multi-component whole-school SEHER health promotion intervention had substantial beneficial effects on school climate and health-related outcomes when delivered by lay counsellors, but no effects when delivered by teachers. Future research should focus on the evaluation of the scaling up of the SEHER intervention in diverse contexts and delivery agents. Funding: John D. and Catherine T. MacArthur Foundation, USA and the United Nations Population Fund India Office.

Lancet (London, England) · randomised controlled trial · 121 citationsread the source →

Coverage of Nonpharmacologic Treatments for Low Back Pain Among US Public and Private Insurers.

Importance: Despite epidemic rates of addiction and death from prescription opioids in the United States, suggesting the importance of providing alternatives to opioids in the treatment of pain, little is known regarding how payers' coverage policies may facilitate or impede access to such treatments. Objective: To examine coverage policies for 5 nonpharmacologic approaches commonly used to treat acute or chronic low back pain among commercial and Medicare Advantage insurance plans, plus an additional 6 treatments among Medicaid plans. Design, setting, and participants: Cross-sectional study of 15 commercial, 15 Medicaid, and 15 Medicare Advantage health plans for the 2017 calendar year in 16 states representing more than half of the US population. Interviews were conducted with 43 senior medical and pharmacy health plan executives from representative plans. Main outcomes and measures: Medical necessity and coverage status for the treatments examined, as well as the use of utilization management tools and cost-sharing magnitude and structure. Results: Commercial and Medicare insurers consistently regarded physical and occupational therapy as medically necessary, but policies varied for other therapies examined. Payers most commonly covered physical therapy (98% [44 of 45 plans]), occupational therapy (96% [43 of 45 plans]), and chiropractic care (89% [40 of 45 plans]), while transcutaneous electrical nerve stimulation (67% [10 of 15 plans]) and steroid injections (60% [9 of 15 plans]) were the most commonly covered among the therapies examined for Medicaid plans only. Despite evidence in the literature to support use of acupuncture and psychological interventions, these therapies were either not covered by plans examined (67% of all plans [30 of 45] did not cover acupuncture) or lacked information about coverage (80% of Medicaid plans [12 of 15] lacked information about coverage of psychological interventions). Utilization management tools, such as prior authorization, were common, but criteria varied greatly with respect to which conditions and what quantity and duration of services were covered. Interviewees represented 6 Medicaid managed care organizations, 2 Medicare Advantage or Part D plans, 9 commercial plans, and 3 trade organizations (eg, Blue Cross Blue Shield Association). Interviews with plan executives indicated a low level of integration between the coverage decision-making processes for pharmacologic and nonpharmacologic therapies for chronic pain. Conclusions and relevance: Wide variation in coverage of nonpharmacologic treatments for low back pain may be driven by the absence of best practices, the administrative complexities of developing and revising coverage policies, and payers' economic incentives. Such variation suggests an important opportunity to improve the accessibility of services, reduce opioid use, and ultimately improve the quality of care for individuals with chronic, noncancer pain while alleviating the burden of opioid addiction and overdose.

JAMA network open · 127 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 →

Exercise on prescription for women aged 40-74 recruited through primary care: two year randomised controlled trial.

Objective: To assess the effectiveness of a primary care based programme of exercise on prescription among relatively inactive women over a two year period. Design: Randomised controlled trial. Setting: 17 primary care practices in Wellington, New Zealand Participants: 1089 women aged 40-74 not undertaking 30 minutes of moderate intensity physical activity on at least five days of the week Intervention: Brief physical activity intervention led by nurse with six month follow-up visit and monthly telephone support over nine months. Main outcome measure: Physical activity assessed at baseline and 12 and 24 months. Secondary outcomes were quality of life (SF-36), weight, waist circumference, blood pressure, concentrations of fasting serum lipids, glycated haemoglobin (HbA(1c)), glucose, insulin, and physical fitness. Results: Mean age was 58.9 (SD 7) years. Trial retention rates were 93% and 89% at 12 and 24 months, respectively. At baseline, 10% of intervention participants and 11% of control participants were achieving 150 minutes of at least moderate intensity physical activity a week. At 12 months rates increased to 43% and 30% and at 24 months to 39.3% and 32.8% (P<0.001), respectively. SF-36 physical functioning (P=0.03) and mental health (P<0.05) scores improved more in intervention compared with control participants, but role physical scores were significantly lower (P<0.01). There were no significant differences in clinical outcomes. More falls (P<0.001) and injuries (P=0.03) were recorded in the intervention group. Conclusions: This programme of exercise on prescription increased physical activity and quality of life over two years, although falls and injuries also increased. This finding supports the use of exercise on prescription programmes as part of population strategies to reduce physical inactivity. Trial registration: Australian New Zealand Clinical Trials Registry (ANZCTR) ANZCTRN012605000490673.

BMJ (Clinical research ed.) · randomised controlled trial · 108 citationsread the source →

Essential Hypertension

HomeCirculationVol. 101, No. 3Essential Hypertension Free AccessOtherPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyRedditDiggEmail Jump toFree AccessOtherPDF/EPUBEssential Hypertension Part I: Definition and Etiology Oscar A. Carretero and Suzanne Oparil Oscar A. CarreteroOscar A. Carretero From the Hypertension and Vascular Research Division, Heart and Vascular Institute, Henry Ford Hospital, Detroit, Mich (O.A.C.), and the Division of Cardiovascular Disease, Vascular Biology and Hypertension Program, University of Alabama School of Medicine, Birmingham (S.O.). and Suzanne OparilSuzanne Oparil From the Hypertension and Vascular Research Division, Heart and Vascular Institute, Henry Ford Hospital, Detroit, Mich (O.A.C.), and the Division of Cardiovascular Disease, Vascular Biology and Hypertension Program, University of Alabama School of Medicine, Birmingham (S.O.). Originally published25 Jan 2000https://doi.org/10.1161/01.CIR.101.3.329Circulation. 2000;101:329–335Essential hypertension remains a major modifiable risk factor for cardiovascular disease (CVD) despite important advances in our understanding of its pathophysiology and the availability of effective treatment strategies. High blood pressure (BP) increases the risk of CVD for millions of people worldwide, and there is evidence that the problem is only getting worse. In the past decade, age-adjusted rates of stroke incidence have risen, and the slope of the age-adjusted rate of decline in coronary disease has leveled off. The incidence of end-stage renal disease and the prevalence of heart failure have also increased. A major contributor to these trends is inadequate control of BP in the hypertensive population. This review of current concepts regarding the definition, etiology, and treatment of essential hypertension is intended to aid the clinician in identifying those individuals at high risk who need to undergo evaluation and treatment, as well as in selecting optimal treatment strategies for hypertensive patients with comorbid conditions and/or target organ damage. The part of the review that deals with the genetic basis of hypertension and the gene/environment interaction that may lead to elevated BP is still a work in progress. Information gained from the Human Genome Project and from ongoing studies of the genetic basis of hypertension both in animal models and human populations may revolutionize the treatment of hypertension by replacing current empirical therapy with more effective, targeted treatments based on the genotype of the patient. Concepts introduced in this review form the basis for such "pharmacogenomic" approaches to antihypertensive therapy. Definition of Essential or Primary HypertensionBP is a quantitative trait that is highly variable1 ; in population studies, BP has a normal distribution that is slightly skewed to the right. There is a strong positive and continuous correlation between BP and the risk of CVD (stroke, myocardial infarction, heart failure), renal disease, and mortality, even in the normotensive range. This correlation is more robust with systolic than with diastolic BP.2 There is no specific level of BP where cardiovascular and renal complications start to occur; thus the definition of hypertension is arbitrary but needed for practical reasons in patient assessment and treatment. The Sixth Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC VI) defined and classified hypertension in adults, as shown in Table 1.3 The diagnosis of hypertension is made when the average of 2 or more diastolic BP measurements on at least 2 subsequent visits is ≥90 mm Hg or when the average of multiple systolic BP readings on 2 or more subsequent visits is consistently ≥140 mm Hg. Isolated systolic hypertension is defined as systolic BP ≥140 mm Hg and diastolic BP <90 mm Hg. Individuals with high normal BP tend to maintain pressures that are above average for the general population and are at greater risk for development of definite hypertension and cardiovascular events than the general population. With the use of these definitions, it is estimated that 43 million people in the United States have hypertension or are taking antihypertensive medication, which is ≈24% of the adult population. This proportion changes with (1) race, being higher in blacks (32.4%) and lower in whites (23.3%) and Mexican Americans (22.6%); (2) age, because in industrialized countries systolic BP rises throughout life, whereas diastolic BP rises until age 55 to 60 years and thus the greater increase in prevalence of hypertension among the elderly is mainly due to systolic hypertension; (3) geographic patterns, because hypertension is more prevalent in the southeastern United States; (4) gender, because hypertension is more prevalent in men (though menopause tends to abolish this difference); and (5) socioeconomic status, which is an indicator of lifestyle attributes and is inversely related to the prevalence, morbidity, and mortality rates of hypertension. Essential, primary, or idiopathic hypertension is defined as high BP in which secondary causes such as renovascular disease, renal failure, pheochromocytoma, aldosteronism, or other causes of secondary hypertension or mendelian forms (monogenic) are not present. Essential hypertension accounts for 95% of all cases of hypertension. Essential hypertension is a heterogeneous disorder, with different patients having different causal factors that lead to high BP. Essential hypertension needs to be separated into various syndromes because the causes of high BP in most patients presently classified as having essential hypertension can be recognized. Known Etiological Factors in Essential HypertensionAlthough it has frequently been indicated that the causes of essential hypertension are not known, this is only partially true because we have little information on genetic variations or genes that are overexpressed or underexpressed as well as the intermediary phenotypes that they regulate to cause high BP.4 A number of factors increase BP, including (1) obesity, (2) insulin resistance, (3) high alcohol intake, (4) high salt intake (in salt-sensitive patients), (5) aging and perhaps (6) sedentary lifestyle, (7) stress, (8) low potassium intake, and (9) low calcium intake.56 Furthermore, many of these factors are additive, such as obesity and alcohol intake. In this review, variations in BP that are genetically determined will be called "inherited BP," although we do not know which genes cause BP to vary; we know from family studies that inherited BP can range from low normal BP to severe hypertension. Factors that increase BP, such as obesity and high alcohol and salt intake, will be called "hyperten-sinogenic factors." Some of these factors have inherited, behavioral, and environmental components. Inherited BP could be considered core BP, whereas hypertensinogenic factors cause BP to increase above the range of inherited BPs, thus creating 4 main possibilities: (1) patients who have inherited BP in the optimal category (<120/<80 mm Hg); if 1 or more hypertensinogenic factors are added, BP would probably increase but remain in the normal range (<135/<85 mm Hg) (Figure 1, first 2 columns); (2) patients who have inherited BP in the normal category (≤130/≤85 mm Hg); if 1 or more hypertensinogenic factors are added, BP will probably increase to the high normal range (130 to 139/85 to 89 mm Hg) or to stage 1 of the hypertensive category (140 to 159/90 to 99 mm Hg) (Figure 1, second 2 columns); (3) patients who have inherited BP in the high normal category (130 to 139/85 to 89 mm Hg); if 1 or more hypertensinogenic factors are added, BP will increase to the hypertensive range (≥140/≥90 mm Hg) (Figure 1, third 2 columns); and (4) patients who have inherited BP in the hypertensive range; addition of 1 or more hypertensinogenic factors will make hypertension more severe, changing it from stage 1 to stage 2 or 3 (Figure 1, fourth to sixth 2 columns).Theoretically, in a population unaffected by hypertensinogenic factors, BP will have a normal distribution; it will be skewed to the right and will have a narrow base or less variance (Figure 2, continuous line). When 1 hypertensinogenic factor is added to this population, such as increased body mass, one would expect the normal distribution curve to be further skewed to the right; consequently the base will be wider (more variance) and the curve will be flatter (Figure 2, broken line). If a second hypertensinogenic factor such as alcohol intake is added to increased body mass, the curve will be skewed more to the right and the variance will increase further, with more subjects classified as hypertensive (Figure 2, dotted line).Discovering which genetic variations place BP on the left or right side of the distribution curve is of both theoretical and practical importance because it could help the physician to better treat or cure hypertension.7 Recognition of the hypertensinogenic factors may allow nonpharmacological prevention, treatment, or cure of hypertension. Hypertensinogenic factors such as obesity, insulin resistance, or high alcohol intake also have an important genetic component. Furthermore, there are interactions between genetic and environmental factors (Figure 2) that influence intermediary phenotypes such as sympathetic nerve activity, the renin-angiotensin-aldosterone and renal kallikrein-kinin systems, and endothelial factors, which in turn influence other intermediary phenotypes such as sodium excretion, vascular reactivity, and cardiac contractility. These and many other intermediary phenotypes determine total vascular resistance and cardiac output and, consequently, BP. Recognition of the hypertensinogenic factor(s) and establishing that the patient's hypertension is the result of obesity (either alone or combined with other factors such as insulin resistance or high alcohol intake) or old age instead of essential hypertension may help the physician as well as the patient and his or her family to modify or eliminate these hypertensinogenic and CVD risk factors when possible, which may cure the hypertension or at least facilitate control of BP. When the hypertensinogenic factor cannot be reduced or eliminated, as with systolic hypertension induced by aging (arteriosclerosis), recognition of the underlying cause of high BP will emphasize the need for (1) further studies to determine whether the patient has arteriosclerosis and/or atherosclerosis, the magnitude of the disease, and whether there are occlusive lesions; (2) treatment of the atherosclerosis with lifestyle and dietary changes and lipid-lowering agents if necessary; and (3) pharmacological treatment of systolic hypertension to decrease passive stiffness (arteriosclerosis) of the major central elastic arteries and decrease morbidity and mortality rates. Thus recognition of factors that induce hypertension is not only of theoretical but also of practical importance. In conclusion, as stated by Beilin,8 "it is no longer appropriate to define essential hypertension as a rise in blood pressure without cause," since a number of causes can be clearly identified in most cases of so-called "essential hypertension." As discussed later in more detail, there is clear evidence that changes in lifestyle, including dietary changes that reduce body weight, fat, and alcohol intake and increase potassium and calcium intake,9 as well as exercise,1011 reduce or normalize BP in many patients. Inherited BPThe identification of variant (allelic) genes that contribute to the development of hypertension is complicated by the fact that the 2 phenotypes that determine BP, cardiac output and total peripheral resistance, are controlled by intermediary phenotypes, including the autonomic nervous system, vasopressor/vasodepressor hormones, the structure of the cardiovascular system, body fluid volume and renal function, and many others. Furthermore, these intermediary phenotypes are also controlled by complex mechanisms including BP itself.12 Thus there are many genes that could participate in the development of hypertension. The influence of genes on BP has been suggested by family studies demonstrating associations of BP among siblings and between parents and children. There is a better association among BP values in biological children than in adopted children and in identical as opposed to nonidentical twins. BP variability attributed to all genetic factors varies from 25% in pedigree studies to 65% in twin studies. Furthermore, genetic factors also influence behavioral patterns, which might lead to BP elevation. For example, a tendency toward obesity or alcoholism will be influenced by both genetic and environmental factors; thus the proportion of BP variability caused by inheritance is difficult to determine and may vary in different populations. Mutations in at least 10 genes have been shown to raise or lower BP through a common pathway by increasing or decreasing salt and water reabsorption by the nephron.1314 The genetic mutations responsible for 3 rare forms of mendelian (monogenic) hypertensive syndromes−glucocorticoid-remediable aldosteronism (GRA), Liddle's syndrome, and apparent mineralocorticoid excess−have been identified, whereas in a fourth, autosomal dominant hypertension with brachydactyly, the gene is not yet identified but has been mapped to chromosome 12 (12p). Subtle variations in one of these genes may also cause some forms of "essential" hypertension. For a review of the mutations that cause a decrease in BP, see Lifton.13Glucocorticoid-Remediable AldosteronismThis is an autosomal dominant form of monogenic hypertension in which aldosterone secretion is regulated by adrenocorticotropic hormone. Glucocorticoid treatment causes BP to decrease and gives the syndrome its name. The genetic mutation that causes GRA has been identified by Lifton14 as a chimeric gene fusing nucleotide sequences of the promoter-regulatory region of 11β-hydroxylase (controlled by adrenocorticotropic hormone) and the structural portion of the aldosterone synthase gene. The chimeric gene results from a meiotic mismatch and unequal crossing over. The patients are usually thought to have primary aldosteronism because they exhibit volume expansion, metabolic alkalosis with hypokalemia, low plasma renin, and high aldosterone. Most of the patients first described as having GRA showed severe hypertension and died prematurely from stroke. However, with the development of direct genetic testing, the BP of patients with this syndrome was found to cover a wide range, including normotensive levels.1516 In patients with GRA and normal BP, expression of the chimeric gene may be variable, but because steroid levels are similar in patients with severe and mild hypertension, this seems unlikely. It is also possible that the genetic background of the trait (other than the chimeric mutation), such as high renal kallikrein, places the inherited BP of these subjects in the low or ideal normal range and the mutation causes BP to increase to high normal or hypertensive stage 1. Thus the final BP would be the combined result of the inherited BP (including the genetic mutation) and the increase in BP caused by hypertensinogenic factors such as salt. Liddle's SyndromeThis is an autosomal dominant form of monogenic hypertension that results from mutations in the amiloride-sensitive epithelial sodium channel, leading to increased channel activity.17 The mutations reported to date result in the elimination of 45 to 75 amino acids from the cytoplasmic carboxyl terminus of β- or γ-subunits of the channel; thus Liddle's syndrome is genetically heterogeneous. It is characterized by the early onset of hypertension with hypokalemia and suppression of both plasma renin activity and aldosterone, the latter differentiating this syndrome from primary aldosteronism. Both the hypertension and the hypokalemia vary in severity, raising the possibility that some patients classified as having salt-sensitive essential hypertension actually have Liddle's syndrome.18 It is also possible that high BP in blacks, who are frequently salt-sensitive, is due to a polymorphism in one of the sodium channel genes or in one of the genes of systems that regulate it, causing its activity to increase. Apparent Mineralocorticoid ExcessThis is an autosomal recessive form of monogenic juvenile hypertension that results from a mutation in the renal-specific isoform 11β-hydroxysteroid dehydrogenase gene.19 Normally this enzyme converts cortisol to the inactive metabolite cortisone. In the distal nephron this is important because cortisol and aldosterone have a similar affinity for the mineralocorticoid receptor. The enzymatic deficiency allows the mineralocorticoid receptors in the nephron to be occupied and activated by cortisol, causing sodium and water retention, volume expansion, low renin, low aldosterone, and more importantly, a salt-sensitive form of hypertension. Thus this gene may be a locus for salt-sensitive essential hypertension. Autosomal Dominant Hypertension With BrachydactylyIn this monogenic syndrome, hypertension and brachydactyly are always inherited together (100% cosegregation).4 Affected persons are shorter than nonaffected relatives. The gene for hypertension has been mapped to the short arm of chromosome 12 (12p) in a large Turkish kindred. Two other families with this syndrome have been reported, 1 in Canada and 1 in the United States. In addition, the study of a Japanese child with hypertension and type E brachydactyly has allowed the area on 12p containing the gene mutation to be pinpointed further, although the gene responsible for this syndrome has not yet been cloned. Unlike the other 3 autosomal forms of hypertension, BP is not affected by volume expansion and the underlying mechanism is not known. Thus identification of the gene responsible may help clarify some of the genetic alterations in essential hypertension. Essential or Primary HypertensionThe genetic alterations responsible for inherited "essential" hypertension remain largely unknown.4 Results from family studies suggest several possible intermediary phenotypes (genetic traits) that may be related to inherited high BP, such as high sodium-lithium countertransport, low urinary kallikrein excretion, high fasting plasma insulin concentrations, high-density LDL subfractions, fat pattern index, and body mass index (BMI).12 Jeunemaitre et al2021 first reported a polymorphism in the angiotensinogen gene linked with essential hypertension in hypertensive siblings from Utah and France. This polymorphism consists of a substitution of thymidine for cytosine in nucleotide 704, which causes substitution of methionine for threonine at position 235 (M235T) and is associated with increased concentrations of plasma angiotensinogen. This variant appears to be in tight linkage disequilibrium with a promoter mutation in which adenine replaces guanine (-6A) upstream from the initiation side of transcription.22 Tests of promoter activity suggest that this nucleotide substitution increases the rate of gene transcription, which may explain the higher angiotensinogen concentration found in subjects with the variant M235T.22 Many studies have been published on various racial groups with regard to the association between allelic variations in angiotensinogen and hypertension.23 However, these variations explain only a small part of the BP variation (≈6%). Furthermore, plasma angiotensinogen concentrations, though higher in patients with the polymorphism, clearly overlap with normotensive patients. Polymorphisms and mutations in other genes such as angiotensin-converting enzyme, β2-adrenergic receptor, α-adducin, angiotensinase C, renin-binding protein, G-protein β3-subunit, atrial natriuretic factor, and the insulin receptor have also been linked to the development of essential hypertension; however, most of them show a weak association if any, and most of these studies need further confirmation. Thus these gene alterations will not be discussed here because they go beyond the scope of this review (see Luft4 ).Hypertensinogenic FactorsThere is evidence that obesity, insulin resistance, high alcohol intake, high salt intake, a sedentary lifestyle, stress, dyslipidemia, and low potassium or calcium intake increase BP in susceptible subjects. Here we will briefly discuss obesity and insulin resistance; other hypertensinogenic factors will be discussed in the section "Lifestyle Modification."Obesity and Insulin ResistanceObesity, and obesity, is the main hypertensinogenic It was estimated in the study that is associated with a mm Hg increase in systolic is also the cause of insulin resistance, left and Thus obesity is an important cardiovascular its incidence and prevalence are in most industrialized and in the United States has The between BP and body fat is not to the but is continuous throughout the range of body A direct association between hypertension and in by the in has been in and population studies from early to old A of is considered normal or whereas a of to with increases the risk of high BP by and the risk of insulin resistance by Thus insulin resistance is in many patients with obesity and hypertension. The mechanism by which obesity BP is not but increased is associated with an increase in plasma volume and cardiac both these alterations and BP can be by in both normotensive and hypertensive even when sodium intake is BP in is and fasting insulin is the of this In these BP by 10 mm Hg changing from 2 on a to a When some of these subjects by BP by 10 mm Hg and salt was no longer present. The that sodium fasting plasma plasma aldosterone, and plasma the that BP is to dietary sodium and that this may be due to the combined of and increased activity of the sympathetic nervous It is not clear whether body fat by is a factor because in for 1 3 BP, and this decrease was mainly in those who high fasting insulin and insulin levels in to In this study was not a factor because the subjects on a and actually gained an average of the which that plasma insulin by a different mechanism than of body These studies can be as that high plasma insulin causes salt and that decreasing insulin resistance by or BP. Furthermore, hypertensive subjects are more to exhibit insulin resistance than normotensive the other insulin by has a In subjects with hypertension there is resistance to the of insulin on However, in addition to this metabolic insulin increases both sympathetic nerve activity and sodium and water retention, and it could be that the hypertension is due to the of resistance to these secondary of factor and a that have also been in the of hypertension. although the mechanisms by which obesity and insulin resistance increase BP remain it is clear that these increases in BP are on the inherited of of the evaluation are to determine the and of target organ and for specific causes of hypertension hypertensinogenic factors and other CVD risk factors; and the patient to facilitate the of therapy and define and of BP by the is the most important part of the evaluation and of the patient and be in a 2) with the use of and A is a or a to an arm Two or 3 measurements be at and at least 2 be allowed between The diastolic is at the level when of BP by patients or family and/or BP the diagnosis and the of hypertension. BP values the are lower and better with target organ than BP measurements by of BP has several including hypertension from hypertension that only in the the to antihypertensive to treatment by the patient a in his or her and by the need for BP or of BP is for many patients with high BP, those who to be to antihypertensive A of or BP measurements is that and BP be and that and in to BP be and be and a in all patients The assessment the described in Table It help to known, causes of high the or of target organ and and other CVD or comorbid conditions that might or Tests and only blood blood fasting total and high-density or and a indicated in patients for the diagnosis of secondary hypertension and/or comorbid conditions urinary protein, of fasting and plasma renin is Part of a Part of this will be published in the 1, of 1. of hypertensinogenic factors such as obesity and alcohol intake on systolic and diastolic BP the stage of inherited BP to without the of the hypertensinogenic with normal or high normal inherited BP hypertensive stage 1 when BP is increased by a hypertensinogenic In patients with inherited hypertension in 1 to hypertension more severe when hypertensinogenic factors are among genetic and environmental factors in the development of hypertension. side of environmental factors and multiple genes responsible for high BP and intermediary The result of these intermediary phenotypes is blood pressure with a normal distribution skewed to the right. the theoretical BP of the population that is not affected by hypertensinogenic factors; area systolic BP in the hypertensive range. and dotted populations in which 1 or 2 hypertensinogenic factors high alcohol intake) have been that in these 2 populations the distribution are to the right and the number of hypertensive individuals is increased when hypertensinogenic factors are Table 1. and of Blood Pressure mm mm 1 2 3 systolic a patient's systolic and

Circulation · review · 1085 citationsread the source →

Health outcomes in people 2 years after surviving hospitalisation with COVID-19: a longitudinal cohort study.

Background: With the ongoing COVID-19 pandemic, growing evidence shows that a considerable proportion of people who have recovered from COVID-19 have long-term effects on multiple organs and systems. A few longitudinal studies have reported on the persistent health effects of COVID-19, but the follow-up was limited to 1 year after acute infection. The aim of our study was to characterise the longitudinal evolution of health outcomes in hospital survivors with different initial disease severity throughout 2 years after acute COVID-19 infection and to determine their recovery status. Methods: We did an ambidirectional, longitudinal cohort study of individuals who had survived hospitalisation with COVID-19 and who had been discharged from Jin Yin-tan Hospital (Wuhan, China) between Jan 7 and May 29, 2020. We measured health outcomes 6 months (June 16-Sept 3, 2020), 12 months (Dec 16, 2020-Feb 7, 2021), and 2 years (Nov 16, 2021-Jan 10, 2022) after symptom onset with a 6-min walking distance (6MWD) test, laboratory tests, and a series of questionnaires on symptoms, mental health, health-related quality of life (HRQoL), return to work, and health-care use after discharge. A subset of COVID-19 survivors received pulmonary function tests and chest imaging at each visit. Age-matched, sex-matched, and comorbidities-matched participants without COVID-19 infection (controls) were introduced to determine the recovery status of COVID-19 survivors at 2 years. The primary outcomes included symptoms, modified British Medical Research Council (mMRC) dyspnoea scale, HRQoL, 6MWD, and return to work, and were assessed in all COVID-19 survivors who attended all three follow-up visits. Symptoms, mMRC dyspnoea scale, and HRQoL were also assessed in controls. Findings: 2469 patients with COVID-19 were discharged from Jin Yin-tan Hospital between Jan 7 and May 29, 2020. 1192 COVID-19 survivors completed assessments at the three follow-up visits and were included in the final analysis, 1119 (94%) of whom attended the face-to-face interview 2 years after infection. The median age at discharge was 57·0 years (48·0-65·0) and 551 (46%) were women. The median follow-up time after symptom onset was 185·0 days (IQR 175·0-197·0) for the visit at 6 months, 349·0 days (337·0-360·0) for the visit at 12 months, and 685·0 days (675·0-698·0) for the visit at 2 years. The proportion of COVID-19 survivors with at least one sequelae symptom decreased significantly from 777 (68%) of 1149 at 6 months to 650 (55%) of 1190 at 2 years (p<0·0001), with fatigue or muscle weakness always being the most frequent. The proportion of COVID-19 survivors with an mMRC score of at least 1 was 168 (14%) of 1191 at 2 years, significantly lower than the 288 (26%) of 1104 at 6 months (p<0·0001). HRQoL continued to improve in almost all domains, especially in terms of anxiety or depression: the proportion of individuals with symptoms of anxiety or depression decreased from 256 (23%) of 1105 at 6 months to 143 (12%) 1191 at 2 years (p<0·0001). The proportion of individuals with a 6MWD less than the lower limit of the normal range declined continuously in COVID-19 survivors overall and in the three subgroups of varying initial disease severity. 438 (89%) of 494 COVID-19 survivors had returned to their original work at 2 years. Survivors with long COVID symptoms at 2 years had lower HRQoL, worse exercise capacity, more mental health abnormality, and increased health-care use after discharge than survivors without long COVID symptoms. COVID-19 survivors still had more prevalent symptoms and more problems in pain or discomfort, as well as anxiety or depression, at 2 years than did controls. Additionally, a significantly higher proportion of survivors who had received higher-level respiratory support during hospitalisation had lung diffusion impairment (43 [65%] of 66 vs 24 [36%] of 66, p=0·0009), reduced residual volume (41 [62%] vs 13 [20%], p<0·0001), and total lung capacity (26 [39%] vs four [6%], p<0·0001) than did controls. Interpretation: Regardless of initial disease severity, COVID-19 survivors had longitudinal improvements in physical and mental health, with most returning to their original work within 2 years; however, the burden of symptomatic sequelae remained fairly high. COVID-19 survivors had a remarkably lower health status than the general population at 2 years. The study findings indicate that there is an urgent need to explore the pathogenesis of long COVID and develop effective interventions to reduce the risk of long COVID.

The Lancet. Respiratory medicine · 462 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 →

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 →

Go Where the Students Are: A Comparison of the Use of Social Networking Sites Between Medical Students and Medical Educators.

Background: Medical education has grown beyond the boundaries of the classroom, and social media is seen as the bridge between informal and formal learning as it keeps students highly engaged with educational content outside the classroom. Objective: The purpose of this study is to explore the perceptions of medical educators and medical students regarding the use of social media for educational purposes. Methods: Both groups (medical educators and students) were invited to take a survey. The surveys consisted of 29 questions, including Likert-style, multiple choice, yes/no, ranking, and short answer questions. The survey forms and statistics were built using Google Drive analytics with the free Spanning Stats module. To compare between professors and students, results were exported to a Microsoft Office Excel spreadsheet (Microsoft Corp, Redmond, WA). The study protocol was approved by The Ottawa Health Science Network Research Ethics Board (OHSN-REB:20140680-01H). Results: The overall response rate to the survey was 40.9% (63/154) for students, and 36% (72/200) for medical educators. The majority of educators (79%, 57/72) and students (100.0%, 63/63) had presence on social networking sites (SNSs). Only (33% 19/57) of educators used SNSs with their students, the most used sites were Facebook (52%, 10/19) and Twitter (47%, 9/19), followed by LinkedIn (21%, 4/19), Google+ (16%, 3/19),YouTube (11%, 2/19), and blogs (11%, 2/19). Facebook (100%, 63/63), YouTube (43%, 27/63), Twitter (31%, 20/63), and Instagram (30%, 19/63) were the sites most commonly used by students. The educators used SNSs mainly to post opinions (86%, 49/57), share videos (81%, 46/57), chat (71%, 41/57), engage in medical education (68%, 40/57), take surveys (24%, 14/57), and play games (5%, 3/57). On the other hand, students used SNSs mainly to chat with friends (94%, 59/63), for medical education purposes (67%, 42/63), to share videos (62%, 39/63), to post opinions (49%, 31/63), to take surveys (11%, 7/63), and to play games (6%, 4/63). Most educators (67%, 38/57) do not use social media in their education Although most of the educators (89%, 17/19) and students (73%, 46/63) found the use of social media time-effective, that it offered an inviting atmosphere (89%, 17/19 and 70%, 44/63), and that it enhanced the learning experience (95%, 18/19 and 70%, 44/63), both groups stated that they had colleagues who refused to use social media. The detractors' concerns included privacy issues (47%, 18/38), time-wasting (34%, 13/38), distraction (21%, 8/38), and that these media might not be suitable for education (11%, 4/38). When it came to using SNSs with the students, the educators most often used SNSs to post articles (42%, 8/19), explanatory comments (31%, 6/19), and videos (27%, 5/19).While students preferred the following posts : Quizzes (87% 55/63), revision files (82% 52/63) and explanatory comments (29% 21/63). Conclusions: Although social media continue to grow, some educators find that they do not offer suitable modes of learning. However, it is important to acknowledge that there are persistent differences in technology adoption and use along gender, racial, and socioeconomic lines; this is often referred to as the "digital divide". The current study shows that students prefer certain posts like quizzes and revision files, while educators are focused on posting videos, articles, and explanatory comments. Medical educators are encouraged to focus on the students in a way to minimize the gap between learners and educators. It will remain our responsibility as educators to focuson the student, use SNSs at their fullest, and integrate them into traditional Web-based management systems and into existingcurricula to best benefit the students.

JMIR medical education · 49 citationsread the source →

Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea.

Background: SARS-CoV-2 (severe acute respiratory coronavirus 2) was spreading rapidly in South Korea at the end of February 2020 following its initial outbreak in China, making Korea the new center of global attention. The role of social media amid the current coronavirus disease (COVID-19) pandemic has often been criticized, but little systematic research has been conducted on this issue. Social media functions as a convenient source of information in pandemic situations. Objective: Few infodemiology studies have applied network analysis in conjunction with content analysis. This study investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak. Methods: Korean COVID-19-related Twitter data were collected on February 29, 2020. Our final sample comprised of 43,832 users and 78,233 relationships on Twitter. We generated four networks in terms of key issues regarding COVID-19 in Korea. This study comparatively investigates how COVID-19-related issues have circulated on Twitter through network analysis. Next, we classified top news channels shared via tweets. Lastly, we conducted a content analysis of news frames used in the top-shared sources. Results: The network analysis suggests that the spread of information was faster in the Coronavirus network than in the other networks (Corona19, Shincheon, and Daegu). People who used the word "Coronavirus" communicated more frequently with each other. The spread of information was faster, and the diameter value was lower than for those who used other terms. Many of the news items highlighted the positive roles being played by individuals and groups, directing readers' attention to the crisis. Ethical issues such as deviant behavior among the population and an entertainment frame highlighting celebrity donations also emerged often. There was a significant difference in the use of nonportal (n=14) and portal news (n=26) sites between the four network types. The news frames used in the top sources were similar across the networks (P=.89, 95% CI 0.004-0.006). Tweets containing medically framed news articles (mean 7.571, SD 1.988) were found to be more popular than tweets that included news articles adopting nonmedical frames (mean 5.060, SD 2.904; N=40, P=.03, 95% CI 0.169-4.852). Conclusions: Most of the popular news on Twitter had nonmedical frames. Nevertheless, the spillover effect of the news articles that delivered medical information about COVID-19 was greater than that of news with nonmedical frames. Social media network analytics cannot replace the work of public health officials; however, monitoring public conversations and media news that propagates rapidly can assist public health professionals in their complex and fast-paced decision-making processes.

Journal of medical Internet research · 102 citationsread the source →

Cancer mortality in India: a nationally representative survey.

Background: The age-specific mortality rates and total deaths from specific cancers have not been documented for the various regions and subpopulations of India. We therefore assessed the cause of death in 2001-03 in homes in small areas that were chosen to be representative of all the parts of India. Methods: At least 130 trained physicians independently assigned causes to 122,429 deaths, which occurred in 1·1 million homes in 6671 small areas that were randomly selected to be representative of all of India, based on a structured non-medical surveyor's field report. Findings: 7137 of 122,429 study deaths were due to cancer, corresponding to 556,400 national cancer deaths in India in 2010. 395,400 (71%) cancer deaths occurred in people aged 30-69 years (200,100 men and 195,300 women). At 30-69 years, the three most common fatal cancers were oral (including lip and pharynx, 45,800 [22·9%]), stomach (25,200 [12·6%]), and lung (including trachea and larynx, 22,900 [11·4%]) in men, and cervical (33,400 [17·1%]), stomach (27,500 [14·1%]), and breast (19,900 [10·2%]) in women. Tobacco-related cancers represented 42·0% (84,000) of male and 18·3% (35,700) of female cancer deaths and there were twice as many deaths from oral cancers as lung cancers. Age-standardised cancer mortality rates per 100,000 were similar in rural (men 95·6 [99% CI 89·6-101·7] and women 96·6 [90·7-102·6]) and urban areas (men 102·4 [92·7-112·1] and women 91·2 [81·9-100·5]), but varied greatly between the states, and were two times higher in the least educated than in the most educated adults (men, illiterate 106·6 [97·4-115·7] vs most educated 45·7 [37·8-53·6]; women, illiterate 106·7 [99·9-113·6] vs most educated 43·4 [30·7-56·1]). Cervical cancer was far less common in Muslim than in Hindu women (study deaths 24, age-standardised mortality ratio 0·68 [0·64-0·71] vs 340, 1·06 [1·05-1·08]). Interpretation: Prevention of tobacco-related and cervical cancers and earlier detection of treatable cancers would reduce cancer deaths in India, particularly in the rural areas that are underserved by cancer services. The substantial variation in cancer rates in India suggests other risk factors or causative agents that remain to be discovered. Funding: Bill & Melinda Gates Foundation and US National Institutes of Health.

Lancet (London, England) · 296 citationsread the source →