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Factors that influence older adults' participation in physical activity: a systematic review of qualitative studies.

Background: Despite the advantages of physical activity (PA), older adults are often insufficiently active to maximise health. Understanding factors that influence PA engagement will support well-designed interventions for older people. Our aim was to review the qualitative evidence exploring the factors affecting older adults' engagement in PA. Methods: We searched six electronic databases for studies of community-dwelling older adults (≥70 years) including qualitative methods. We excluded studies of a single-disease group, individuals with cognitive impairment and care home residents. Methodological rigour was assessed with the Critical Appraisal Skills Programme, and framework synthesis was applied using the Capability Opportunity Motivation-Behaviour (COM-B) model, which hypothesises that behaviour is influenced by three factors: capability, opportunity and motivation. Results: Twenty-five studies were included in the review (N = 4,978; mean 79 years) and 32 themes were identified. Older adults' capability was influenced by functional capacity (e.g. strength) and perceived risk of injury from PA (e.g. falls). Opportunity was impacted by the environment 'fit' (e.g. neighbourhood safety), the availability of social interaction and socio-cultural ageing stereotypes. PA was motivated by identifying as an 'exerciser', health gains and experiencing positive emotions (e.g. enjoyment), whereas negative sensations (e.g. pain) reduced motivation. Conclusions: The qualitative synthesis showcased a complex web of interacting factors influencing PA between the sub-domains of COM-B, pinpointing directions for intervention, including a focus on whole systems approaches. There was a lack of research exploring PA influences in the oldest old and in low-income countries. Future research should seek to involve under-served groups, including a wider diversity of older people.

Age and ageing · systematic review · 148 citationsread the source →

Developing a multidisciplinary rehabilitation package following hip fracture and testing in a randomised feasibility study: Fracture in the Elderly Multidisciplinary Rehabilitation (FEMuR).

Background: Proximal femoral fracture is a major health problem in old age, with annual UK health and social care costs of £2.3B. Rehabilitation has the potential to maximise functional recovery and maintain independent living, but evidence of clinical effectiveness and cost-effectiveness is lacking. Objectives: To develop an enhanced community-based rehabilitation package following surgical treatment for proximal femoral fracture and to assess acceptability and feasibility for a future definitive randomised controlled trial (RCT) and economic evaluation. Design: Phase I - realist review, survey and focus groups to develop the rehabilitation package. Phase II - parallel-group, randomised (using a dynamic adaptive algorithm) feasibility study with focus groups and an anonymised cohort study. Setting: Recruitment was from orthopaedic wards of three acute hospitals in the Betsi Cadwaladr University Health Board, North Wales. The intervention was delivered in the community following hospital discharge. Participants: Older adults (aged ≥ 65 years) who had received surgical treatment for hip fracture, lived independently prior to fracture, had mental capacity (assessed by the clinical team) and received rehabilitation in the North Wales area. Interventions: Participants received usual care (control) or usual care plus an enhanced rehabilitation package (intervention). Usual care was variable and consisted of multidisciplinary rehabilitation delivered by the acute hospital, community hospital and community services depending on need and availability. The intervention was designed to enhance rehabilitation by improving patients' self-efficacy and increasing the amount and quality of patients' practice of physical exercise and activities of daily living. It consisted of a patient-held information workbook, a goal-setting diary and six additional therapy sessions. Main outcome measures: The primary outcome measure was the Barthel Activities of Daily Living (BADL) index. The secondary outcome measures included the Nottingham Extended Activities of Daily Living (NEADL) scale, EuroQol-5 Dimensions, ICEpop CAPability measure for Older people, General Self-Efficacy Scale, Falls Efficacy Scale - International (FES-I), Self-Efficacy for Exercise scale, Hospital Anxiety and Depression Scale (HADS) and service use measures. Outcome measures were assessed at baseline and at 3-month follow-up by blinded researchers. Results: Sixty-two participants were recruited (23% of those who were eligible), 61 were randomised (control, n = 32; intervention, n = 29) and 49 (79%) were followed up at 3 months. Compared with the cohort study, a younger, healthier subpopulation was recruited. There were minimal differences in most outcomes between the two groups, including the BADL index, with an adjusted mean difference of 0.5 (Cohen's d = 0.29). The intervention group showed a medium-sized improvement on the NEADL scale relative to the control group, with an adjusted mean difference between groups of 3.0 (Cohen's d = 0.63). There was a trend for greater improvement in FES-I and HADS in the intervention group, but with small effect sizes, with an adjusted mean difference of 4.2 (Cohen's d = 0.31) and 1.3 (Cohen's d = 0.20), respectively. The cost of delivering the intervention was £231 per patient. There was a possible small relative increase in quality-adjusted life-years in the intervention group. No serious adverse events relating to the intervention were reported. Conclusions: Trial methods were feasible in terms of eligibility, recruitment and retention, although recruitment was challenging. The NEADL scale was more responsive than the BADL index, suggesting that the intervention could enable participants to regain better levels of independence compared with usual care. This should be tested in a definitive Phase III RCT. There were two main limitations of the study: the feasibility study lacked power to test for differences between the groups and a ceiling effect was observed in the primary measure. Trial registration: Current Controlled Trials ISRCTN22464643. Funding: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 21, No. 44. See the NIHR Journals Library for further project information.

Health technology assessment (Winchester, England) · randomised controlled trial · 17 citationsread the source →

Interdisciplinary lifestyle intervention for weight management in a community population (HealthTrack study): Study design and baseline sample characteristics.

Background: Integrating professional expertise in diet, exercise and behavioural support may provide more effective preventive health services but this needs testing. We describe the design and baseline results of a trial in the Illawarra region of New South Wales, Australia. Methods: The HealthTrack study is a 12 month randomised controlled trial testing effects of a novel interdisciplinary lifestyle intervention versus usual care. The study recruited overweight and obese adults 25-54 years resident in the Illawarra. Primary outcomes were weight, and secondary outcomes were disease risk factors (lipids, glucose, blood pressure), and behaviour (diet, activity, and psychological factors). Protocols, recruitment and baseline characteristics are reported. Results: Between May 2014 and April 2015, 377 participants were recruited and randomised. The median age (IQR) of the mostly female sample (74%) was 45 (37-51) years. The sample comprised obese (BMI 32 (29-35) kg/m(2)) well educated (79% post school qualifications) non-smokers (96%). A high proportion reported suffering from anxiety (26.8%) and depression (33.7%). Metabolic syndrome was identified in 34.9% of the sample. Conclusions: The HealthTrack study sample was recruited to test the effectiveness of an interdisciplinary approach to preventive healthcare in self-identified overweight adults in the Illawarra region. The profile of participants gives some indication of those likely to use services similar to the trial design.

Contemporary clinical trials · randomised controlled trial · 22 citationsread the source →

Single-Dose Psilocybin for a Treatment-Resistant Episode of Major Depression.

Background: Psilocybin is being studied for use in treatment-resistant depression. Methods: In this phase 2 double-blind trial, we randomly assigned adults with treatment-resistant depression to receive a single dose of a proprietary, synthetic formulation of psilocybin at a dose of 25 mg, 10 mg, or 1 mg (control), along with psychological support. The primary end point was the change from baseline to week 3 in the total score on the Montgomery-Åsberg Depression Rating Scale (MADRS; range, 0 to 60, with higher scores indicating more severe depression). Secondary end points included response at week 3 (≥50% decrease from baseline in the MADRS total score), remission at week 3 (MADRS total score ≤10), and sustained response at 12 weeks (meeting response criteria at week 3 and all subsequent visits). Results: A total of 79 participants were in the 25-mg group, 75 in the 10-mg group, and 79 in the 1-mg group. The mean MADRS total score at baseline was 32 or 33 in each group. Least-squares mean changes from baseline to week 3 in the score were -12.0 for 25 mg, -7.9 for 10 mg, and -5.4 for 1 mg; the difference between the 25-mg group and 1-mg group was -6.6 (95% confidence interval [CI], -10.2 to -2.9; P<0.001) and between the 10-mg group and 1-mg group was -2.5 (95% CI, -6.2 to 1.2; P = 0.18). In the 25-mg group, the incidences of response and remission at 3 weeks, but not sustained response at 12 weeks, were generally supportive of the primary results. Adverse events occurred in 179 of 233 participants (77%) and included headache, nausea, and dizziness. Suicidal ideation or behavior or self-injury occurred in all dose groups. Conclusions: In this phase 2 trial involving participants with treatment-resistant depression, psilocybin at a single dose of 25 mg, but not 10 mg, reduced depression scores significantly more than a 1-mg dose over a period of 3 weeks but was associated with adverse effects. Larger and longer trials, including comparison with existing treatments, are required to determine the efficacy and safety of psilocybin for this disorder. (Funded by COMPASS Pathfinder; EudraCT number, 2017-003288-36; ClinicalTrials.gov number, NCT03775200.).

The New England journal of medicine · randomised controlled trial · 786 citationsread the source →

Psychiatric disorders among disaster bereaved: an interview study of individuals directly or not directly exposed to the 2004 tsunami.

Background: Few studies have explored the long-term mental health consequences of disaster losses in bereaved, either exposed to the disaster themselves or not. This study examined the prevalence and predictors of mental disorders and psychological distress in bereaved individuals either directly or not directly exposed to the 2004 tsunami disaster. Method: A cross-sectional study of 111 bereaved Norwegians (32 directly and 79 not directly exposed) was conducted 2 years postdisaster. We used a face-to-face structured clinical interview to diagnose current posttraumatic stress disorder (PTSD) and depression (major depressive disorder, MDD) and a self-report scale to measure prolonged grief disorder (PGD). Results: The prevalence of psychiatric disorders was twice as high among individuals directly exposed to the disaster compared to individuals who were not directly exposed (46.9 vs. 22.8 per 100). The prevalence of disorders among the directly exposed was PTSD (34.4%), MDD (25%), and PGD (23.3%), whereas the prevalence among the not directly exposed was PGD (14.3%), MDD (10.1%), and PTSD (5.2%). The co-occurrence of disorders was higher among the directly exposed (21.9 vs. 5.2%). Low education and loss of a child predicted PGD, whereas direct exposure to the disaster predicted PTSD. All three disorders were independently associated with functional impairment. Conclusions: The dual burden of direct trauma and loss can inflict a complex set of long-term reactions and mental health problems in bereaved individuals. The relationship between PGD and impaired functioning actualizes the incorporation of PGD in future diagnostic manuals of psychiatric disorders.

Depression and anxiety · 50 citationsread the source →

Pilot Randomized Controlled Trial of a Novel Smoking Cessation App Designed for Individuals With Co-Occurring Tobacco Use Disorder and Serious Mental Illness.

Introduction: High rates of tobacco use among people with serious mental illness (SMI), along with their unique needs, suggest the importance of developing tailored smoking cessation interventions for this group. Previous early-phase work empirically validated the design and content of Learn to Quit, a theory-based app designed for this population. Methods: In a pilot randomized controlled trial, we compared the feasibility, acceptability, and preliminary efficacy of Learn to Quit versus QuitGuide, an app designed for the general population. All participants received nicotine replacement therapy and technical assistance. Daily smokers with SMI (N = 62) participated in the trial with outcomes assessed at weeks 4, 8, 12, and 16. Results: Compared to QuitGuide, Learn to Quit participants had similar number of days of app use (34 vs. 32, p = .754), but larger number of app interactions (335 vs. 205; p = .001), longer durations of app use (4.24 hrs. vs. 2.14 hrs; p = .044), and higher usability scores (85 vs. 79, p = .046). At week 16, Learn to Quit led to greater reductions in cigarettes per day (12.3 vs. 5.9 for QuitGuide; p = 0.10). Thirty-day point prevalence abstinence was verified in 12% of Learn to Quit participants versus 3% of QuitGuide participants (odds ratio = 3.86, confidence interval = 0.41 to 36, p = .239). Changes in psychiatric symptoms and adverse events were not clinically significant between conditions. Conclusions: This pilot trial provides strong evidence of Learn to Quit's usability, feasibility, and safety. Preliminary evidence suggests the app may be efficacious. A randomized controlled efficacy trial is needed to test the app in a larger sample of smokers with SMI. Implications: This study suggests that the Learn to Quit app is a feasible approach to deliver smoking cessation treatment in patients with co-occurring tobacco use disorder and SMI. This means that, if found efficacious, this technology could be used to deploy smoking cessation treatment to larger segments of this population, hence improving public health. Therefore, a randomized controlled trial should be conducted to examine the efficacy of this digital intervention.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · randomised controlled trial · 37 citationsread the source →

Remdesivir plus standard of care versus standard of care alone for the treatment of patients admitted to hospital with COVID-19 (DisCoVeRy): a phase 3, randomised, controlled, open-label trial.

Background: The antiviral efficacy of remdesivir against SARS-CoV-2 is still controversial. We aimed to evaluate the clinical efficacy of remdesivir plus standard of care compared with standard of care alone in patients admitted to hospital with COVID-19, with indication of oxygen or ventilator support. Methods: DisCoVeRy was a phase 3, open-label, adaptive, multicentre, randomised, controlled trial conducted in 48 sites in Europe (France, Belgium, Austria, Portugal, Luxembourg). Adult patients (aged ≥18 years) admitted to hospital with laboratory-confirmed SARS-CoV-2 infection and illness of any duration were eligible if they had clinical evidence of hypoxaemic pneumonia, or required oxygen supplementation. Exclusion criteria included elevated liver enzymes, severe chronic kidney disease, any contraindication to one of the studied treatments or their use in the 29 days before random assignment, or use of ribavirin, as well as pregnancy or breastfeeding. Participants were randomly assigned (1:1:1:1:1) to receive standard of care alone or in combination with remdesivir, lopinavir-ritonavir, lopinavir-ritonavir and interferon beta-1a, or hydroxychloroquine. Randomisation used computer-generated blocks of various sizes; it was stratified on severity of disease at inclusion and on European administrative region. Remdesivir was administered as 200 mg intravenous infusion on day 1, followed by once daily, 1-h infusions of 100 mg up to 9 days, for a total duration of 10 days. It could be stopped after 5 days if the participant was discharged. The primary outcome was the clinical status at day 15 measured by the WHO seven-point ordinal scale, assessed in the intention-to-treat population. Safety was assessed in the modified intention-to-treat population and was one of the secondary outcomes. This trial is registered with the European Clinical Trials Database, EudraCT2020-000936-23, and ClinicalTrials.gov, NCT04315948. Findings: Between March 22, 2020, and Jan 21, 2021, 857 participants were enrolled and randomly assigned to remdesivir plus standard of care (n=429) or standard of care only (n=428). 15 participants were excluded from analysis in the remdesivir group, and ten in the control group. At day 15, the distribution of the WHO ordinal scale was: (1) not hospitalised, no limitations on activities (61 [15%] of 414 in the remdesivir group vs 73 [17%] of 418 in the control group); (2) not hospitalised, limitation on activities (129 [31%] vs 132 [32%]); (3) hospitalised, not requiring supplemental oxygen (50 [12%] vs 29 [7%]); (4) hospitalised, requiring supplemental oxygen (76 [18%] vs 67 [16%]); (5) hospitalised, on non-invasive ventilation or high flow oxygen devices (15 [4%] vs 14 [3%]); (6) hospitalised, on invasive mechanical ventilation or extracorporeal membrane oxygenation (62 [15%] vs 79 [19%]); (7) death (21 [5%] vs 24 [6%]). The difference between treatment groups was not significant (odds ratio 0·98 [95% CI 0·77-1·25]; p=0·85). There was no significant difference in the occurrence of serious adverse events between treatment groups (remdesivir, 135 [33%] of 406 vs control, 130 [31%] of 418; p=0·48). Three deaths (acute respiratory distress syndrome, bacterial infection, and hepatorenal syndrome) were considered related to remdesivir by the investigators, but only one by the sponsor's safety team (hepatorenal syndrome). Interpretation: No clinical benefit was observed from the use of remdesivir in patients who were admitted to hospital for COVID-19, were symptomatic for more than 7 days, and required oxygen support. Funding: European Union Commission, French Ministry of Health, Domaine d'intérêt majeur One Health Île-de-France, REACTing, Fonds Erasme-COVID-Université Libre de Bruxelles, Belgian Health Care Knowledge Centre, Austrian Group Medical Tumor, European Regional Development Fund, Portugal Ministry of Health, Portugal Agency for Clinical Research and Biomedical Innovation. Translation: For the French translation of the abstract see Supplementary Materials section.

The Lancet. Infectious diseases · randomised controlled trial · 264 citationsread the source →

An evaluation of the effects of diagnostic composition on individual treatment outcome within transdiagnostic cognitive-behavioral group therapy for anxiety.

Recently, studies have supported the efficacy of treating anxiety disorders utilizing a transdiagnostic, or non-diagnosis-specific, framework (Erickson, D. H. (2003). Group cognitive behavioural therapy for heterogeneous anxiety disorders. Cognitive Behaviour Therapy, 32, 179-186; Garcia, M. S. (2004). Effectiveness of cognitive-behavioural group therapy in patients with anxiety disorders. Psychology in Spain, 8, 89-97; Norton, P. J., & Hope, D. A. (2005). Preliminary evaluation of a broad-spectrum cognitive-behavioral group therapy for anxiety. Journal of Behavior Therapy and Experimental Psychiatry, 36, 79-97). Transdiagnostic group treatment packages focus on the common aspects inherent across the anxiety disorders such as behavioral and cognitive avoidance, and faulty cognitive appraisals of threat potential or meaning (Barlow, D. H., Allen, L. B., & Choate, M. L. (2004). Toward a unified treatment for emotional disorders. Behavior Therapy, 35, 205-230). Although research supports the overall efficacy of transdiagnostic cognitive behavior therapy (CBT) for anxiety disorders (Norton, P. J., & Philipp, L. M. (2008). Transdiagnostic approaches to the treatment of anxiety disorders: A quantitative review. Psychotherapy: Theory, Research, Practice and Training, 45, 214-226), the effect of diagnostically mixed group composition on individual outcomes is less clear. This study investigated the relationship between group composition and treatment outcome within diagnostically heterogeneous groups with the purpose of determining if diagnostic heterogeneity differentially impacted treatment outcome for 84 individuals during a 12-week transdiagnostic cognitive-behavioral group anxiety treatment program (Norton, P. J. (2012a). Group cognitive-behavioral therapy of anxiety: A transdiagnostic treatment manual. New York: Guilford). The diagnostic makeup of the treatment group was examined at the beginning of treatment and at the end of treatment, and the results indicated that the diagnostic makeup of the treatment group had no significant impact on individual treatment outcome. These findings have direct implications for the delivery of transdiagnostic treatments, and are discussed in terms of their global implications for the transdiagnostic approach to the treatment of anxiety disorders.

Cognitive behaviour therapy · randomised controlled trial · 15 citationsread the source →

Emotional responses and psychological health among young people amid climate change, Fukushima's radioactive water release, and wars in Ukraine and the Middle East, and the mediating roles of media exposure and nature connectedness: a cross-national analysis.

Background: New global crises are emerging, while existing global crises remain unabated. Coping with climate change, the radioactive water released into the Pacific Ocean subsequent to the Fukushima nuclear accident in Japan, and the wars in Ukraine and the Middle East (hereafter referred to as the wars) as individual crises can negatively affect the psychological health of young people, but little is known about the compounded impact of multiple crises. We aimed to examine: (1) the emotional responses of young people towards each individual crisis, (2) how aggregate levels of emotional engagement in global crises might pose different potential trajectories in psychological health, and (3) the protective or exacerbating role of media exposure and nature connectedness as mediators on psychological health outcomes of young people. Methods: We conducted a cross-national online survey among young people (aged 18-29 years) from China, Portugal, South Africa, the USA, and the UK. We adopted stratified purposive sampling and distributed the survey using online platforms (www.wenjuan.com and www.prolific.com). Individuals were eligible for inclusion in our analysis if they were literate in Chinese or English and had no mental disorders diagnosed within the past 12 months. Participants were asked questions on their demographic characteristics and time spent on social media, including proportion of time exposed to media pertaining to global crises of interest, and they completed surveys based on validated scales that measure depression, anxiety, stress, and wellbeing, as well as emotional responses to each global crisis and nature relatedness. We assessed the survey results using descriptive statistics, ANOVA tests, cluster analysis for individual emotional responses, and structural equation modelling for the aggregate measure of emotional engagement towards individual global crises. Findings: Between Oct 20 and Nov 3, 2023, 2579 individuals participated in the survey, of whom 400 participants from each country (200 male and 200 female participants) were included in our analysis (mean age 24·36 years [SD 2·86]). The mean emotional engagement varied between the global crises of interest (on a scale from 0 to 68, where 0 indicates no emotional response and 68 indicates strong emotional responses across 17 different emotions; wars: 32·42 [SD 14·57]; climate change: 28·79 [14·17]; radioactive water: 21·26 [16·08]), and emotional engagement also varied by country; for instance, for respondents from China, mean emotional engagement in radioactive water was relatively high (39·15 [10·72]) compared with the other countries, and for respondents from the USA, engagement with the wars was relatively low (29·45 [15·78]). We found significant variations in the level of emotional engagement between different crises, with distinct emotional profiles observed among individual countries. To assess the role of media exposure and nature connectedness on psychological outcomes, using structural equation modelling, we constructed a multi-country model comprising Portugal, South Africa, the USA, and the UK, and a standalone model for China. These models elucidated associations between emotional engagement and psychological distress and wellbeing, explaining substantial portions of the variance in both. Notably, while greater emotional engagement in the ecological crises (ie, climate change and radioactive water) generally predicted worse psychological health outcomes, we found the direction of effect for war crises to have positive outcomes for mental health in the standalone China model. Additionally, we found that media exposure mediated the negative effect of wars on psychological distress in the multi-country model, and positive psychological wellbeing in the standalone China model. Moreover, nature connectedness emerged as a potent mediator, effectively mitigating the adverse mental health effects of emotional engagement with some crises, such as radioactive water and climate change. Interpretation: Our findings offer valuable insights into the nuanced dynamics of emotional engagement in global crises and its implications for mental health outcomes among young people across diverse global contexts. Further research is needed to understand the contribution of ongoing and new global crises towards a compounded negative future outlook on young people's mental health to identify effective communication and intervention strategies that can mitigate the effect of this global challenge. Funding: Research Grants Council of Hong Kong, China.

The Lancet. Planetary health · 9 citationsread the source →

The association between adherence to antiretroviral therapy and viral suppression under dolutegravir-based regimens: an observational cohort study from Uganda.

Introduction: Millions of people living with HIV (PLWH) take oral antiretroviral therapy (ART), which requires a lifetime of consistent medication adherence. The relationship between adherence and poor HIV outcomes is well documented. Newer ART regimens that include dolutegravir (DTG) could be more forgiving, but empirical evidence on the relationship between adherence and viral suppression under DTG is only emerging. Methods: In this observational cohort study (secondary analysis of data from a randomized trial), we used data from 313 ART clients from a large HIV clinic in Kampala, Uganda. Over the 4-year study period (January 2018-January 2022), 91% switched from non-DTG regimens to DTG regimens. We measured adherence using Medication Event Monitoring Systems-caps and extracted prescription information and viral load measures from electronic health records. We estimated unadjusted linear regressions and adjusted models that included individual and time fixed-effects. Results: Under non-DTG regimens, 96% of participants were virally suppressed (defined as viral load < 200 copies/ml) when adherence was 90% or higher in the 3 months before viral load measurement. Viral suppression was 32 percentage points lower when adherence was between 0% and 49% (95% CI -0.44, -0.20, p < 0.01), 12 percentage points lower when adherence was between 50% and 79% (95% CI -0.23, -0.02, p < 0.01), and not significantly different when adherence was between 80% and 89% (effect of 0.00, 95% CI -0.06, 0.07, p = 0.81). In contrast, for participants taking DTG, there was no statistically significant difference in viral suppression among any of the four adherence levels; more than 95% were virally suppressed at each adherence level. On average, switching to DTG increased viral suppression by 6 percentage points in our adjusted models (95% CI 0.00, 0.13, p = 0.03). Conclusions: There was no significant association between adherence levels and viral suppression among PLWH taking DTG regimens, suggesting a high degree of forgiveness for missed doses. The use of DTG should be prioritized over older regimens, particularly for those with low adherence. Clinical trial number: NCT03494777.

Journal of the International AIDS Society · cohort or longitudinal · 5 citationsread the source →

Life Expectancy Gain Due to Employment Status Depends on Race, Gender, Education, and Their Intersections.

Purpose: Despite the well-established health effects of socioeconomic status (SES), SES resources such as employment may differently influence health outcomes across sub-populations. This study used a national sample of US adults to test if the effect of baseline employment (in 1986) on all-cause mortality over a 25-year period depends on race, gender, education level, and their intersections. Methods: Data came from the Americans' Changing Lives (ACL) study, which followed 2025 Whites and 1156 Blacks for 25 years from 1986 to 2011. The focal predictor of interest was baseline employment (1986), operationalized as a dichotomous variable. The main outcome of interest was time to all-cause mortality from 1986 to 2011. Covariates included baseline age, health behaviors (smoking, drinking, and exercise), physical health (obesity, chronic disease, function, and self-rated health), and mental health (depressive symptoms). A series of Cox proportional hazard models were used to test the association between employment and mortality risk in the pooled sample and based on race, gender, education, and their intersections. Results: Baseline employment in 1986 was associated with a lower risk of mortality over a 25-year period, net of covariates. In the pooled sample, baseline employment interacted with race (HR = .69, 95% CI = .49-.96), gender (HR = .73, 95% CI = .53-1.01), and education (HR = .64, 95% CI = .46-.88) on mortality, suggesting diminished protective effects for Blacks, women, and individuals with lower education, compared to Whites, men, and those with higher education. In stratified models, the association was significant for Whites (HR = .71, 95%CI = .59-.90), men (HR = .60, 95%CI = .43-.83), and individuals with high education (HR = .66, 95%CI = .50-.86) but not for Blacks (HR = .77, 95%CI = .56-1.01), women (HR = .88, 95%CI = .69-1.12), and those with low education (HR = .92, 95%CI = .67-1.26). The largest effects of employment on life expectancy were seen for highly educated men (HR = .50, 95%CI = .32-.78), White men (HR = .55, 95%CI = .38-.79), and highly educated Whites (HR = .63, 95%CI = .46-.84). The effects were non-significant for Black men (HR = 1.10, 95%CI = .68-1.78), Whites with low education (HR = 1.01, 95%CI = .67-1.51), and women with low education (HR = 1.06, 95%CI = .71-1.57). Conclusion: In the USA, the health gain associated with employment is conditional on one's race, gender, and education level, along with their intersections. Blacks, women, and individuals with lower education gain less from employment than do Whites, men, and highly educated people. More research is needed to understand how the intersections of race, gender, and education alter health gains associated with socioeconomic resources.

Journal of racial and ethnic health disparities · 131 citationsread the source →

Caregiver characteristics are associated with neuropsychiatric symptoms of dementia.

Objectives: To determine whether caregiver characteristics are independently associated with neuropsychiatric symptoms of dementia (NPS) after accounting for patient characteristics. Design: Cross-sectional analysis of data from the Medicare Alzheimer's Disease Demonstration and Evaluation study. Setting: Community-dwelling residents in eight U.S. cities. Participants: Five thousand seven hundred eighty-eight patients with dementia and their caregivers. Measurements: Caregivers were asked about the presence of 12 NPS in patients with dementia. Caregiver predictors included age, sex, education, income, marital status, relationship to the patient, whether they lived with patient, number of hours per week spent caregiving, self-reported health, dependency in activities of daily living (ADLs) and instrumental activities of daily living (IADLs), depression, and burden. Multivariate linear regression was used to determine which caregiver characteristics were independently associated with reports of more NPS in patients after controlling for the patient's age, sex, dementia severity, level of ADL dependency, and dementia type. Results: Caregivers were on average 64 years old, 72% female, and 49% were the spouse of the patient (32% wives, 17% husbands). The mean burden score of caregivers was 15 (range 0-32, with higher scores indicating more burden), and 32% had significant depressive symptoms. Patients were on average 79 years old, 60% were female, and most had moderate to severe dementia. The mean number of NPS+/-standard deviation was 4.8+/-2.8. After adjusting for patient characteristics, caregivers who were younger, less educated, more depressed, more burdened, or spent more hours per week giving care reported more NPS in care recipients (all P< or =.005). Conclusion: Certain caregiver characteristics are associated with NPS, independent of patient characteristics, including dementia severity. Clinicians should consider the dynamics between patients and caregivers when managing NPS. Understanding how different caregiver characteristics influence NPS may help tailor caregiver education and interventions.

Journal of the American Geriatrics Society · 116 citationsread the source →

Effectiveness of an 8-Week Web-Based Mindfulness Virtual Community Intervention for University Students on Symptoms of Stress, Anxiety, and Depression: Randomized Controlled Trial

BACKGROUND: A student mental health crisis is increasingly acknowledged and will only intensify with the COVID-19 crisis. Given accessibility of methods with demonstrated efficacy in reducing depression and anxiety (eg, mindfulness meditation and cognitive behavioral therapy [CBT]) and limitations imposed by geographic obstructions and localized expertise, web-based alternatives have become vehicles for scaled-up delivery of benefits at modest cost. Mindfulness Virtual Community (MVC), a web-based program informed by CBT constructs and featuring online videos, discussion forums, and videoconferencing, was developed to target depression, anxiety, and experiences of excess stress among university students. OBJECTIVE: The aim of this study was to assess the effectiveness of an 8-week web-based mindfulness and CBT program in reducing symptoms of depression, anxiety, and stress (primary outcomes) and increasing mindfulness (secondary outcome) within a randomized controlled trial (RCT) with undergraduate students at a large Canadian university. METHODS: An RCT was designed to assess undergraduate students (n=160) who were randomly allocated to a web-based guided mindfulness-CBT condition (n=80) or to a waitlist control (WLC) condition (n=80). The 8-week intervention consisted of a web-based platform comprising (1) 12 video-based modules with psychoeducation on students' preidentified life challenges and applied mindfulness practice; (2) anonymous peer-to-peer discussion forums; and (3) anonymous, group-based, professionally guided 20-minute live videoconferences. The outcomes (depression, anxiety, stress, and mindfulness) were measured via an online survey at baseline and at 8 weeks postintervention using the Patient Health Questionnaire-9 (PHQ9), the Beck Anxiety Inventory (BAI), the Perceived Stress Scale (PSS), and the Five Facets Mindfulness Questionnaire Short Form (FFMQ-SF). Analyses employed generalized estimation equation methods with AR(1) covariance structures and were adjusted for possible covariates (gender, age, country of birth, ethnicity, English as first language, paid work, unpaid work, relationship status, physical exercise, self-rated health, and access to private mental health counseling). RESULTS: Of the 159 students who provided T1 data, 32 were males and 125 were females with a mean age of 22.55 years. Participants in the MVC (n=79) and WLC (n=80) groups were similar in sociodemographic characteristics at T1 with the exception of gender and weekly hours of unpaid volunteer work. At postintervention follow-up, according to the adjusted comparisons, there were statistically significant between-group reductions in depression scores (β=-2.21, P=.01) and anxiety scores (β=-4.82, P=.006), and a significant increase in mindfulness scores (β=4.84, P=.02) compared with the WLC group. There were no statistically significant differences in perceived stress for MVC (β=.64, P=.48) compared with WLC. CONCLUSIONS: With the MVC intervention, there were significantly reduced depression and anxiety symptoms but no significant effect on perceived stress. Online mindfulness interventions can be effective in addressing common mental health conditions among postsecondary populations on a large scale, simultaneously reducing the current burden on traditional counseling services. TRIAL REGISTRATION: ISRCTN Registry ISRCTN12249616; http://www.isrctn.com/ISRCTN12249616.

JMIR Mental Health · 144 citationsread the source →

Association of Higher Cortical Amyloid Burden With Loneliness in Cognitively Normal Older Adults.

Importance: Emotional and behavioral symptoms in cognitively normal older people may be direct manifestations of Alzheimer disease (AD) pathophysiology at the preclinical stage, prior to the onset of mild cognitive impairment. Loneliness is a perceived state of social and emotional isolation that has been associated with cognitive and functional decline and an increased risk of incident AD dementia. We hypothesized that loneliness might occur in association with elevated cortical amyloid burden, an in vivo research biomarker of AD. Objective: To determine whether cortical amyloid burden is associated with greater loneliness in cognitively normal older adults. Design, setting, and participants: Cross-sectional analyses using data from the Harvard Aging Brain Study of 79 cognitively normal, community-dwelling participants. A continuous, aggregate measure of cortical amyloid burden, determined by Pittsburgh Compound B-positron emission tomography (PiB-PET), was examined in association with loneliness in linear regression models adjusting for age, sex, apolipoprotein E ε4 (APOEε4), socioeconomic status, depression, anxiety, and social network (without and with the interaction of amyloid and APOEε4). We also quantified the association of high amyloid burden (amyloid-positive group) to loneliness (lonely group) using logistic regression, controlling for the same covariates, with the amyloid-positive group and the lonely group, each composing 32% of the sample (n = 25). Main outcomes and measures: Loneliness, as determined by the 3-item UCLA Loneliness Scale (possible range, 3-12, with higher score indicating greater loneliness). Results: The 79 participants included 43 women and 36 men with a mean (SD) age of 76.4 (6.2) years. Mean (SD) cortical amyloid burden via PiB-PET was 1.230 (0.209), and the mean (SD) UCLA-3 loneliness score was 5.3 (1.8). Twenty-two (28%) had positive APOEε4 carrier status, and 25 (32%) were in the amyloid-positive group with cortical PiB distribution volume ratio greater than 1.2. Controlling for age, sex, APOEε4, socioeconomic status, depression, anxiety, and social network, we found that higher amyloid burden was significantly associated with greater loneliness: compared with individuals in the amyloid-negative group, those in the amyloid-positive group were 7.5-fold (95% CI, 1.7-fold to 34.0-fold) more likely to be classified as lonely than nonlonely (β = 3.3, partial r = 0.4, P = .002). Furthermore, the association of high amyloid burden and loneliness was stronger in APOEε4 carriers than in noncarriers. Conclusions and relevance: We report a novel association of loneliness with cortical amyloid burden in cognitively normal older adults, suggesting that loneliness is a neuropsychiatric symptom relevant to preclinical AD. This work will inform new research into the neural underpinnings and disease mechanisms involved in loneliness and may enhance early detection and intervention research in AD.

JAMA psychiatry · 189 citationsread the source →

E-cigarette Use, or Vaping, Practices and Characteristics Among Persons with Associated Lung Injury - Utah, April-October 2019.

In August 2019, the Utah Department of Health (UDOH) received reports from health care providers of several cases of lung injury in persons who reported use of electronic cigarette (e-cigarette), or vaping, products (1,2). To describe the characteristics of medical care, potentially related conditions, and exposures among 83 patients in Utah, detailed medical abstractions were completed for 79 (95%) patients. Among patients receiving chart abstractions, 70 (89%) were hospitalized, 39 (49%) required breathing assistance, and many reported preexisting respiratory and mental health conditions. Interviews were conducted by telephone or in person with 53 (64%) patients or their proxies, and product samples from eight (15%) of the interviewed patients or proxies were tested. Among 53 interviewed patients, all of whom reported using e-cigarette, or vaping, products within 3 months of acute lung injury, 49 (92%) reported using any products containing tetrohydrocannabinol (THC), the principal psychoactive component of cannabis; 35 (66%) reported using any nicotine-containing products, and 32 (60%) reported using both. As reported in Wisconsin and Illinois (1), most THC-containing products were acquired from informal sources such as friends or illicit in-person and online dealers. THC-containing products were most commonly used one to five times per day, whereas nicotine-containing products were most commonly used >25 times per day. Product sample testing at the Utah Public Health Laboratory (UPHL) showed evidence of vitamin E acetate in 17 of 20 (89%) THC-containing cartridges, which were provided by six of 53 interviewed patients. The cause or causes of this outbreak is currently unknown (2); however, the predominant use among patients of e-cigarette, or vaping, products with prefilled THC-containing cartridges suggests that the substances in these products or the way in which they are heated and aerosolized play an important role in the outbreak. At present, persons should not use e-cigarette, or vaping, products that contain THC. In addition, because the specific cause or causes of lung injury are not yet known and while the investigation continues, persons should consider refraining from use of all e-cigarette, or vaping, products.

MMWR. Morbidity and mortality weekly report · 54 citationsread the source →

Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.

Background: Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods: We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings: In 2019, there were 12·2 million (95% UI 11·0-13·6) incident cases of stroke, 101 million (93·2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6·55 million (6·00-7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8-12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1-6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0-73·0), prevalent strokes increased by 85·0% (83·0-88·0), deaths from stroke increased by 43·0% (31·0-55·0), and DALYs due to stroke increased by 32·0% (22·0-42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0-18·0), mortality decreased by 36·0% (31·0-42·0), prevalence decreased by 6·0% (5·0-7·0), and DALYs decreased by 36·0% (31·0-42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0-24·0) and incidence rates increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]). Interpretation: The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. Funding: Bill & Melinda Gates Foundation.

The Lancet. Neurology · 5441 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 →

Prediction and prevention of schizophrenia: what has been achieved and where to go next?

Since the traditional clinical paradigm has been replaced by the modern molecular one, medicine set off into new directions. “Prediction”, “prevention” and “personalization” are the programmatic key words of this new approach. Like other medical disciplines, psychiatry has broadened its focus from diagnosis and treatment to the detection and estimation of the risk of disease development, the prediction of its onset and strategies to avoid its manifestation 1,2,3,4. Although treatment of schizophrenia has greatly advanced over the last decades, a significant number of patients continue to take an unfavorable chronic course 5,6. This makes schizophrenia the leading cause for permanent occupational disability among people under 40 years of age in Germany 7, and the 8th most common cause for disability adjusted life years (DALYs) lost among the 15 to 34-year olds worldwide 8, despite its low prevalence. Moreover, schizophrenia involves tremendous direct and indirect societal costs 9 and a huge burden on patients and their families 8,10. It is becoming increasingly clear that schizophrenia is a complex disorder with polygenic heredity and that its pathogenesis is greatly influenced by interactions between different genes and between genes and environment. Associations to variants of the genes for dysbindin and neuregulin-1, the genetic locus G72 and the DAOA (D-amino acid oxidase activator) gene have now been repeatedly confirmed. As with all other complex diseases, research is focusing now on characterizing the polygenetic predisposition and clarifying its influence on the development of the phenotype 11. Research methods range from molecular genetics via proteome research to cell biology, neurophysiology, brain structural and functional imaging and neuropsychology. With all these methods, several indicators for an increased risk of schizophrenia have been identified. However, the currently recognized neurobiological risk factors are not sufficiently predictive to allow the development and application of “selective” prevention measures targeting asymptomatic persons at risk. For neuro-psychological risk factors, this has just become evident in the large-scale attempt of the North American Prodrome Longitudinal Study (NAPLS) group to improve their multivariate model by integrating the examined neurocognitive variables 12. There are also established environmental risk factors for schizophrenia, such as pregnancy or birth complications, growing up in a large city, IQ low but normal and drug consumption. However, with odds ratios around 2, each of these factors appears to increase the lifetime risk of the disease only slightly 13. Thus, the currently known risk factors, either alone or taken together, cannot be used for prediction and prevention without knowledge of the complete predispositional basis and the gene-gene and gene-environment interactions, which are probably numerous. In view of this situation, it may be argued that the current efforts towards prediction and prevention are still premature and that further progress of etiological research is needed. However, a different perspective has emerged from the work of the centers for early recognition and prevention, established first in Melbourne, Australia and in Cologne, Germany in the mid 1990s, and later on in many other places around the world. This resulted from retrospective research of the early course of psychosis, in which the pathophysiologically active disturbances in brain development extend beyond early abnormalities in behavior into psychopathologically definable early risk and ultra high risk (UHR) symptoms, depending on the individual combination of stressors and resilience factors. First episode psychosis (FEP) research has shown that the outbreak of the disease is preceded in about 70% to nearly 100% of cases by an initial prodrome, which lasts for an average of five to six years. Even in highly developed health care systems, an average of one year thereafter elapses from the first manifestation of psychotic positive symptoms to the initiation of adequate treatment 14,15. The period over which the FEP remains untreated (duration of untreated psychosis, DUP) correlates with: delayed and incomplete remission of the symptoms; necessity of more protracted treatment and greater risk of relapse; lower compliance, greater burden on the family, and a higher level of “expressed emotion”; increased risk of depression and suicide; greater impact on the individual's employment or education; increased drug abuse and delinquent behavior; markedly increased costs of treatment 16. These correlations have recently been confirmed by a meta-analysis 17, with coefficients ranging from 0.285 to 0.434 (95% CI). This does not only provide strong arguments in favor of treating the FEP as early as possible, but has also led to a systematic effort to decrease the incidence of psychosis through indicated prevention. Two important studies concerning the early stage prior to the conversion to FEP have demonstrated that the earliest and most common symptoms, which generally dominate during the prodrome, are unspecific and cannot be distinguished from impairment in mood, drive, contact, and concentration of depressive episodes. These are the Age-Beginning-Course (ABC) study of schizophrenia, a retrospective study with optimized methods 14, and the Cologne Early Recognition (CER) Study, a long-term prospective study with an average follow-up period just below 10 years 18. These studies also found striking cognitive impairments in the form of self-experienced disturbances in thought, speech, and perception processes. This subgroup of so-called basic symptoms, which were found in more than a quarter of patients, had high specificity and a high positive predictive power, accompanied by only low rates of false positive predictions 19,20,21. Basic symptoms were first operationalized in the Bonn Scale for the Assessment of Basic Symptoms (BSABS). Shorter versions of the scale for adults and for children and adolescents — the Schizophrenia Proneness Instrument, Adult version (SPI-A) and the Schizophrenia Proneness Instrument, Child and Youth version (SPI-CY) — were later developed from dimensional analyses 22,23,24. While the BSABS only allows an assessment of the current state, the SPI-A and the SPI-CY also allow severity ratings according to the maximum frequency of occurrence within the past 3 months. In the CER study, 385 patients who were presumably in the prodromal phase of schizophrenia were followed up for an average of 9.6 (±7.6) years past baseline. Twenty percent of the initial criterion-positive cases (1 of 66 basic symptoms) who agreed to be followed up developed schizophrenia after 12 months, a further 17% after 24 months, a further 13% after 36 months, and finally a total of 70% after an average of 4.5 years. Thus, only 30% did not convert to schizophrenia. The overall presence/absence of at least one basic symptom correctly predicted presence/absence of a subsequent transition to schizophrenia in 78.1% of cases. From further analyses, two partially overlapping basic symptom criteria for defining at risk mental states (ARMS) for psychosis, primarily schizophrenia, were developed (Table 1). The first criterion, which consists of ten cognitive-perceptive basic symptoms and is abbreviated as COPER, was based on findings concerning the predictive accuracy of individual basic symptoms 18,25. The second was based on a methodological re-analysis of the same data set, in which a cluster of nine cognitive basic symptoms had repeatedly been selected as the most predictive. This cluster was called “cognitive disturbances” (COGDIS). In terms of general predictive accuracy, the two criteria slightly differed in the CER study, as COGDIS tended to be more conservative than COPER, i.e. to perform better in ruling in subsequent schizophrenia at the cost of performing worse in ruling it out. The transition rate throughout the average follow-up period of roughly 10 years was 65% for COPER and 79% for COGDIS, with the majority of transitions occurring within the first 3 years past baseline. In a second prospective study 26, conducted with the SPI-A and with a systematic follow-up of 24 months, 38% of the initially included 146 at-risk subjects developed a frank psychosis, mainly schizophrenia, within 12.3 (±10.4) months on average (1–48; median=9) according to COPER. Thus, the positive results of the CER study were confirmed. Again, COGDIS appeared to be more specific but less sensitive than COPER. As a consequence of these findings, predictive basic symptoms have been established as a set of criteria for risk assessment in international research on the early recognition of psychosis. In particular, the German Research Network on Schizophrenia used these symptoms, together with a combined criterion of functional deterioration and biological risk, in defining an “early at-risk of psychosis state” (ERPS), thereby suggesting a clinical risk staging model (Figure 1). Early and late initial prodromal state: a clinical staging approach The positive symptoms typical of schizophrenia — such as delusions, hallucinations or formal thought disorders — often first appear in an attenuated or transient form during the initial prodromal phase. These symptoms provide a valid prediction of conversion into FEP, particularly in the short term. Warning signs of this sort have been used as ultra-high risk (UHR) criteria 27,28. Notwithstanding their differences across studies, these criteria are generally composed of three alternative elements: attenuated positive symptoms (APS), brief limited intermittent psychotic symptoms (BLIPS), or a combination of one or more risk factors (always including genetic risk) and functional decline within a certain recent period. For the ascertainment of the UHR criteria, the Melbourne group gradually developed a specific instrument, the Comprehensive Assessment of At Risk Mental States (CAARMS) 29. Based on the Australian definition of the UHR criteria, the Structured Interview for Prodromal Syndromes (SIPS), the Scale for Prodromal Syndromes (SOPS) and, subsequently, the Criteria of Prodromal Syndromes (COPS) were developed 30,31. Different UHR-related approaches to an early detection of FEP, particularly schizophrenia, were developed by the Hillside Recognition and Prevention (RAP) program in New York 32 and the Basel Früherkennung von Psychosen (FEPSY) study 33. There have been at least 15 prediction studies using UHR criteria, some of which with large samples 34,35,36,37,38,39,40,41. The 12-month rates of transition into FEP published so far range between approximately 13% and 50%. A substantial variance is even observed with comparable observation periods in the same center 34,35. Yet, as the annual incidence for all forms of psychosis in the general population is only about 0.034% 42, even the lowest conversion rates still indicate a dramatic increase in the relative risk of illness, at least in the help-seeking samples of specialized centers. Table 2 depicts the predictive accuracy measures published so far, with the last five listed studies representing secondary predictor analyses of samples meeting at risk criteria. As a result, in the German Research Network on Schizophrenia, the UHR approach was combined with the basic symptom approach and applied in a slightly modified form for the definition of “late at-risk of psychosis state” (LRPS) (Figure 1). This clinical staging model, which suggests a syndromal sequence for the development of FEP progressing from unspecific prodromal symptoms to predictive basic symptoms, and then to APS, to BLIPS and to full-blown psychotic symptoms, was recently strongly supported 15. Universal or selective prevention measures target healthy population groups or clinically still healthy risk carriers, respectively 43. Indicated prevention, instead, targets individuals with basic symptoms and UHR symptoms. Even at the early stages when these individuals seek advice and help at the early recognition and prevention centers, they must be regarded as ill and in need of treatment. Furthermore, the impending deterioration of psychosocial performance in schizophrenia often already occurs in the initial prodromal phase, even prior to the conversion into FEP 14,15. These clinical and psychosocial impairments justify defining the interventions in EPRS and LPRS as indicated prevention, pursuing the following three objectives: a) improvement in the current burden of prodromal symptoms; b) avoidance or perhaps delay in the development of psychosocial handicap; c) prevention of or at least delay or attenuation of psychosis. Five international intervention studies have attempted to find out whether or to what extent these three objectives can be reached 44,45,46,47,48,49,50,51 (Table 3). The preventive measures used were either cognitive behavioral therapy (CBT), adapted to the requirements of the persons at risk, or atypical antipsychotics (risperidone, olanzapine, and amisulpride). These were randomized controlled studies, but there were problems with the blinding condition in the two CBT interventions. This and other methodological shortcomings currently limit conclusions and have encouraged the research groups working in this area to set up new, optimized intervention studies. For example, the protocol of the ongoing parallel group PREVENT study includes careful comparative analyses and superiority and inferiority tests of the psychological and pharmacological treatments 52. A staging of risk, thereby implying a temporal dimension, was considered for the first time in the two intervention studies of the German Research Network on Schizophrenia. One of these studies covered ERPS and only offered CBT as a preventive measure 49,50. The other study was designed for LRPS and used only preventive treatment with amisul-pride 51. When the symptom development in the initial prodromal state follows the sequence shown in Figure 1, it would be beneficial for scientific and especially ethical reasons to focus on psychological interventions in ERPS, which are well tolerated and highly accepted. As soon as the first attenuated or transient psychotic symptoms occur, it seems justifiable to apply well tolerated antipsychotics with few side effects. This differential prevention strategy is now pursued in all German early recognition centers and is also increasingly gaining support in other countries. Another pharmacological option is aripiprazole, tested in a pilot study in UHR states 53. Its possible preventive effects are currently being analyzed in the PREVENT study. Antidepressants were used in a naturalistic, non-randomized observational study of an adolescent sample employing only the APS criterion for inclusion, but, for methodological reasons, this study does not allow any conclusion about differential preventive effects of these medications 54. A critical evaluation of the achievements over the past 15 years through continuous efforts to enhance prediction and prevention of psychoses, particularly of schizophrenia, reveals quite impressive results. However, the results achieved thus far need to be evaluated in the light of the ambitious, initially mentioned objectives of modern predictive and preventive medicine. Once predictive basic symptoms and UHR symptoms have occurred, the underlying pathophysiological process might have already progressed. For such a complex disease with a long-term course and a pre-dispositional basis, this kind of risk identification and risk-oriented prevention may possibly come too late. A more substantial reduction in incidence could be reached with selective and universal prevention measures. Therefore, symptom-based prediction and prevention need to be further developed into the direction of selective prevention for symptom-free risk carriers. In the future, it is necessary to strive for: a) an improvement of risk enrichment with the inclusion of biological risk factors; b) a stronger individualization of the risk estimation by stratification; c) the inclusion of sub-psychotic mental states, as cross-sectionally by current at risk criteria, in the the application of prevention strategies more with the of the the initial prodromal phase for as as then most of the follow-up periods shown in Table 2 are not to the transition A significant number of later may be as and, the predictive of the risk may be 12. Therefore, the first and most important is to out new, optimized large-scale studies with follow-up periods the of the initial prodromal phase, as in the CER study 18. 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The preventive of is currently in the process of in the Australian Prodrome study With the of schizophrenia is the first mental disorder to which the prediction and prevention program of modern medicine has been The results are and justify the that in the years to come it be possible to provide preventive strategies to the individual risk of of each In to a reduction in risk assessment has to be by neurobiological and psychosocial risk factors, and indicated prevention has to be further developed towards selective prevention. This a new of large sample studies for prediction as well as prevention, with observation In these studies, of risk selected to predictive must be psychological and pharmacological interventions need to be on a long-term basis, more prevention strategies have to be In to be to and such studies, it would be to mental states, as by the currently used risk symptoms, in the of the

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