Genetic analyses point to alterations in immune-related pathways underpinning the association between psychiatric disorders and COVID-19.

Current literature suggests that people with psychiatric disorders have a higher risk of COVID-19 infection and a worse prognosis of the disease. We aimed to study the genetic contribution to these associations across seven psychiatric disorders as well as a general psychopathology factor (P-factor) and determine whether these are unique or shared across psychiatric disorders using statistical genetic techniques. Using the largest available genome-wide association studies (GWAS), we found a significant genetic overlap between depression, ADHD, PTSD, and the P-factor with both COVID-19 infection and hospitalization, and between anxiety and COVID-19 hospitalization. We used pairwise GWAS to examine this overlap on a fine-grained scale and identified specific regions of the genome shared between several psychiatric disorders, the P-factor, and COVID-19. Gene-based analysis in these genomic regions suggested possible links with immune-related pathways such as thyroid homeostasis, inflammation, and stress response. Finally, we show preliminary evidence for causal associations between depression, ADHD, PTSD, and the P-factor, and higher COVID-19 infection and hospitalization using Mendelian Randomization and Latent Causal Variable methods. Our results support the hypothesis that the relationship between psychiatric disorders and COVID-19 risk is likely due to shared alterations in immune-related pathways and is not a result of environmental factors alone, shedding light on potentially viable therapeutic targets.

Patterns, predictors, and patient-reported reasons for antidepressant discontinuation in the WHO World Mental Health Surveys.

BACKGROUND: Despite their documented efficacy, substantial proportions of patients discontinue antidepressant medication (ADM) without a doctor's recommendation. The current report integrates data on patient-reported reasons into an investigation of patterns and predictors of ADM discontinuation. METHODS: Face-to-face interviews with community samples from 13 countries (n = 30 697) in the World Mental Health (WMH) Surveys included n = 1890 respondents who used ADMs within the past 12 months. RESULTS: 10.9% of 12-month ADM users reported discontinuation-based on recommendation of the prescriber while 15.7% discontinued in the absence of prescriber recommendation. The main patient-reported reason for discontinuation was feeling better (46.6%), which was reported by a higher proportion of patients who discontinued within the first 2 weeks of treatment than later. Perceived ineffectiveness (18.5%), predisposing factors (e.g. fear of dependence) (20.0%), and enabling factors (e.g. inability to afford treatment cost) (5.0%) were much less commonly reported reasons. Discontinuation in the absence of prescriber recommendation was associated with low country income level, being employed, and having above average personal income. Age, prior history of psychotropic medication use, and being prescribed treatment from a psychiatrist rather than from a general medical practitioner, in comparison, were associated with a lower probability of this type of discontinuation. However, these predictors varied substantially depending on patient-reported reasons for discontinuation. CONCLUSION: Dropping out early is not necessarily negative with almost half of individuals noting they felt better. The study underscores the diverse reasons given for dropping out and the need to evaluate how and whether dropping out influences short- or long-term functioning.

Chronic and Transient Loneliness in Western Countries: Risk Factors and Association With Depression. A 2-Year Follow-Up Study.

INTRODUCTION: Our aim was to test risk factors for chronic and transient loneliness as well as cross-sectional and longitudinal associations of courses of loneliness with depression. METHODS: Responses from participants in Wave 5 (T1, 2013) and Wave 6 (T2, 2015) of The Survey of Health, Ageing and Retirement in Europe (SHARE) (N = 45,490) were analyzed. The existence of clinically significant symptoms of depression was defined as reporting a value greater than or equal to 4 on the Euro-D scale. Loneliness was measured through the 3-item UCLA loneliness scale and a single question. Both measures were tested in separate regression models to identify risk factors for transient (loneliness at T1) and chronic (loneliness at T1 and T2) loneliness as well as their associations with depression. RESULTS: Chronic loneliness was observed in 47%-40% of the cases of loneliness, according to the UCLA scale and the single question, respectively. Risk factors for chronic loneliness in both models were being female, not being married, having a low educational level, having poor mental and physical health, being limited in activities, having a poor social network, and living in a culturally individualistic country. Risk factors for transient loneliness were less robust and no significant effects were found for variables such as sex and physical health in both models, education level in the UCLA measure model, and social network size in the single question model. Chronic loneliness also showed a strong association with depression in the cross-sectional model and a marked one in the longitudinal model. CONCLUSION: The courses of loneliness are relevant in the study of its risk factors and association with depression.

Long-Term Emotional Impact of the COVID-19 Pandemic and Barriers and Facilitators to Digital Mental Health Tools in Long-Term Care Workers: Qualitative Study.

BACKGROUND: The overall pandemic created enormous pressure on long-term care workers (LTCWs), making them particularly vulnerable to mental disorders. Despite this, most of the available evidence on professional well-being during COVID-19 has exclusively focused on frontline health care workers. OBJECTIVE: This study aimed to identify the long-term psychological needs of LTCWs derived from the COVID-19 pandemic and to explore barriers and facilitators related to digital mental health tools. This is part of a project that seeks to develop a digital mental health intervention to reduce psychological distress in this population group. METHODS: We performed a qualitative study with a rapid research approach. Participants were LTCWs of the autonomous community of Catalonia. We conducted 30 semistructured interviews between April and September 2022. We used a qualitative content analysis method with an inductive-deductive approach. RESULTS: The period of the pandemic with the highest mental health burden was the COVID-19 outbreak, with almost all workers having experienced some form of emotional distress. Emotional distress persisted over time in more than half of the participants, with fatigue and nervousness being the main emotions expressed at the time of the interview. High workload, the feeling that pandemic times are not over, and poor working conditions that have remained since then have been the most frequently expressed determinants of such emotions. Potential barriers and facilitators to engagement with digital tools were also identified in terms of previous experience and beliefs of the target population, possibilities for the integration of a digital tool into daily life, preferences regarding the level of guidance, the possibility of social connectedness through the tool, and privacy and confidentiality. The identified factors may become especially relevant in the context of the pandemic remission phase. CONCLUSIONS: More than 2 years after the pandemic outbreak, emotional distress is still relevant. The persistent burden of psychological distress points to a need for institutions to take action to improve working conditions and promote employees' well-being. Considering factors that act as barriers and facilitators for the use of digital mental health tools, it is important to develop tailored tools that could offer valuable support to this population during and after a pandemic.

Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing: Retrospective Analysis.

BACKGROUND: Previous mobile health (mHealth) studies have revealed significant links between depression and circadian rhythm features measured via wearables. However, the comprehensive impact of seasonal variations was not fully considered in these studies, potentially biasing interpretations in real-world settings. OBJECTIVE: This study aims to explore the associations between depression severity and wearable-measured circadian rhythms while accounting for seasonal impacts. METHODS: Data were sourced from a large longitudinal mHealth study, wherein participants' depression severity was assessed biweekly using the 8-item Patient Health Questionnaire (PHQ-8), and participants' behaviors, including sleep, step count, and heart rate (HR), were tracked via Fitbit devices for up to 2 years. We extracted 12 circadian rhythm features from the 14-day Fitbit data preceding each PHQ-8 assessment, including cosinor variables, such as HR peak timing (HR acrophase), and nonparametric features, such as the onset of the most active continuous 10-hour period (M10 onset). To investigate the association between depression severity and circadian rhythms while also assessing the seasonal impacts, we used three nested linear mixed-effects models for each circadian rhythm feature: (1) incorporating the PHQ-8 score as an independent variable, (2) adding seasonality, and (3) adding an interaction term between season and the PHQ-8 score. RESULTS: Analyzing 10,018 PHQ-8 records alongside Fitbit data from 543 participants (n=414, 76.2% female; median age 48, IQR 32-58 years), we found that after adjusting for seasonal effects, higher PHQ-8 scores were associated with reduced daily steps (ß=-93.61, P<.001), increased sleep variability (ß=0.96, P<.001), and delayed circadian rhythms (ie, sleep onset: ß=0.55, P=.001; sleep offset: ß=1.12, P<.001; M10 onset: ß=0.73, P=.003; HR acrophase: ß=0.71, P=.001). Notably, the negative association with daily steps was more pronounced in spring (ß of PHQ-8 × spring = -31.51, P=.002) and summer (ß of PHQ-8 × summer = -42.61, P<.001) compared with winter. Additionally, the significant correlation with delayed M10 onset was observed solely in summer (ß of PHQ-8 × summer = 1.06, P=.008). Moreover, compared with winter, participants experienced a shorter sleep duration by 16.6 minutes, an increase in daily steps by 394.5, a delay in M10 onset by 20.5 minutes, and a delay in HR peak time by 67.9 minutes during summer. CONCLUSIONS: Our findings highlight significant seasonal influences on human circadian rhythms and their associations with depression, underscoring the importance of considering seasonal variations in mHealth research for real-world applications. This study also indicates the potential of wearable-measured circadian rhythms as digital biomarkers for depression.

The Association of Age With Depression, Anxiety, and Posttraumatic Stress Symptoms During the COVID-19 Pandemic in Spain: The Role of Loneliness and Prepandemic Mental Disorder.

OBJECTIVE: Older adults may be at lower risk of common mental disorders than younger adults during the coronavirus disease 2019 (COVID-19) pandemic. Previous research has shown shown differences by age in psychosocial well-being during the pandemic and have highlighted the moderating effect of prepandemic mental disorders on that association. In this line, we examined the association of age with self-reported symptoms of loneliness, depression, anxiety, and posttraumatic stress, as well as potential roles of loneliness symptoms and prepandemic mental disorders on the association between age and mental disorder symptoms. METHODS: Cross-sectional data of 2000 adults in Spain interviewed by telephone during the COVID-19 pandemic (February-March 2021) were analyzed. Depression, anxiety, and posttraumatic stress were measured with the eight-item Patient Health Questionnaire, the seven-item Generalized Anxiety Disorder Scale, and the four-item checklist for Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition), respectively. Loneliness was measured with the three-item University of California at Los Angeles Loneliness Scale. Several regression models were constructed to assess factors related to loneliness and mental disorders. RESULTS: According to cutoff points used, 12.4% of participants revealed depression, 11.9% revealed anxiety, and 11.6% revealed posttraumatic stress. Age was negatively related to mental disorder symptoms and loneliness. Loneliness was associated with higher levels of mental disorder symptoms. This association was stronger in younger adults without prepandemic mental disorders and in older adults with them. The association between age and loneliness was stronger in those with prepandemic mental disorders. Loneliness mediated the association of age with mental disorder symptoms. CONCLUSIONS: Interventions focused on loneliness could alleviate the impact of the COVID-19 pandemic on mental health.

Food insecurity and insomnia-related symptoms among adults from low- and middle-income countries.

Little is known about the relationship between food insecurity and sleep problems in low- and middle-income countries, while the mediators of this association are largely unknown. Therefore, we investigated the association between food insecurity and insomnia-related symptoms in six low- and middle-income countries (i.e., China, Ghana, India, Mexico, Russia, South Africa), and the potential mediators of this relationship. Cross-sectional, nationally representative data from the Study on Global AGEing and Adult Health (2007-2010) were analysed. Past 12-month food insecurity was assessed with two questions on the frequency of eating less, and on hunger owing to a lack of food. Insomnia-related symptoms referred to severe or extreme sleep problems in the past 30 days. Multivariable logistic regression and mediation analysis were conducted. Data on 42,489 adults aged ≥18 years were analysed (mean [standard deviation] age 43.8 [14.4] years; 50.1% females). The prevalence of any food insecurity and insomnia-related symptoms was 11.9% and 4.4%, respectively. After adjustment, compared with no food insecurity, moderate (odds ratio = 1.53, 95% confidence interval = 1.11-2.10) and severe food insecurity (odds ratio = 2.35, 95% confidence interval = 1.56-3.55) were significantly associated with insomnia-related symptoms. Anxiety, perceived stress, and depression mediated 27.7%, 13.5%, and 12.5% of the relationship between any food insecurity and insomnia-related symptoms, respectively (total percentage = 43.3%). Food insecurity was positively associated with insomnia-related symptoms in adults from six low- and middle-income countries. Anxiety, perceived stress, and depression explained a substantial proportion of this relationship. Addressing food insecurity itself or the identified potential mediators among people with food insecurity may lead to a reduction in sleep problems among adults in low- and middle-income countries, pending confirmation with longitudinal studies.

Active school commuting in adolescents from 28 countries across Africa, the Americas, and Asia: a temporal trends study.

BACKGROUND: Evidence examining trends in active school commuting among adolescents are mainly single-country studies, and principally focused on high-income countries. Thus, the present study aims to examine temporal trends in adolescents' active school commuting and to examine if there are differences in such trends by sex. We used nationally representative samples of 28 countries, which were predominantly low- and middle-income countries (LMICs), covering 5 different WHO regions. METHODS: Data from the Global School-based Student Health Survey 2004-2017 were analyzed in 177,616 adolescents [mean (SD) age: 13.7 (1.0) years; 50.7% girls]. Active school commuting was self-reported (frequency of walking or riding a bike to and from school in the past 7 days). The prevalence and 95%CI of active school commuting (i.e., ≥ 3 days/week) was calculated for the overall sample and by sex for each survey. Crude linear trends in active school commuting were assessed by linear regression models. Interaction analyses were conducted to examine differing trends among boys and girls. RESULTS: Trends in active school commuting were heterogeneous across countries, with results showing stable patterns for the majority (16/28), decreasing trends for some (7/28) and increasing trends over time for a few (5/28). The majority of countries showed no differences in active school commuting trends between girls and boys. CONCLUSIONS: The quantification of changes in adolescents' active school commuting over time, together with a deeper understanding of local determinants for such behaviors will provide valuable evidence to inform the development of tailored and context-specific actions.

Social inequalities in mental and physical health derived from the COVID-19 pandemic in Spain beyond SARS-CoV-2 infection.

BACKGROUND: Understanding the impact of the COVID-19 crisis on health involves conducting longitudinal studies to evaluate the inequalities that may have been exacerbated by the pandemic. The purpose of this study was to estimate differences in physical and mental health derived from the COVID-19 pandemic, beyond SARS-CoV-2 infection, in the Spanish general population according to the participants' level of education; and to assess the evolution of these differences from June 2020 (just after the lockdown) to nine months later (February-March 2021). METHODS: This is a longitudinal prospective study of a representative sample of non-institutionalized Spanish adults, through computer-assisted telephone interviews. Mobility, self-care, usual activities, pain/discomfort and anxiety/depression problems were measured with EQ-5D-5L. Prevalence ratio (PR) between high and low education levels and adjusted PR were estimated by Poisson regression models. Analyses were stratified by gender. RESULTS: A total of 2,000 participants answered both surveys. Individuals with low level of education reported more health problems in both genders, and absolute inequalities remained quite constant (mobility and self-care problems) or decreased (pain/discomfort and anxiety/depression problems). The greatest relative inequalities were observed just after the lockdown, with age-adjusted PR ranging from 1.31 (95%CI 1.08-1.59) for women and 1.34 (95%CI 1.05-1.69) for men in pain/discomfort to 2.59 (95%CI 0.98-6.81) for women and 4.03 (95%CI 1.52-10.70) for men in self-care; aPR decreased after nine months for most dimensions. CONCLUSIONS: Prevalence of health problems increased during the COVID-19 pandemic in all education groups, but the increase was higher in women and men with a high level of education, suggesting that its impact appeared later in this group. Further analysis on the role of governmental economic aid given to vulnerable people might shed light on this evolution.

Physical multimorbidity, suicidal ideation, and suicide attempts among adults aged ≥50 years from low- and middle-income countries.

OBJECTIVES: The association between physical multimorbidity and suicidal ideation or suicide attempts among older adults from low- and middle-income countries (LMICs) is largely unknown. We aimed to assess this association as well as its mediators using nationally representative data from six LMICs. METHODS: Cross-sectional, community-based data from the Study on Global Aging and Adult Health were analyzed. A total of 11 chronic physical conditions were assessed. Self-reported information on past 12-month suicidal ideation and suicide attempts was also collected. Multivariable logistic regression and mediation analyses were conducted. RESULTS: The final sample consisted of 34,129 adults aged ≥50 years (mean [SD] age 62.4 (16.0) years; maximum age 114 years; 52.1% females). In the overall sample, physical multimorbidity was associated with increased odds for suicidal ideation (OR = 2.99; 95% CI = 2.06-4.34) and suicide attempts (OR = 2.79; 95% CI = 1.58-4.95), with the association being stronger in males than females. The association between multimorbidity and suicidal ideation or suicide attempts was largely mediated by pain/discomfort (mediated% 33.3%-44.2%), sleep/energy (28.2%-33.8%), and mobility limitations (26.6%-34.8%). CONCLUSIONS: Physical multimorbidity among older adults in LMICs was associated with a substantially increased risk for suicidal ideation and suicide attempts. Addressing the identified mediators in people with physical multimorbidity may aid in the prevention of suicidal ideation and suicide attempts.

Association between asthma and work absence in working adults in the United States.

Objectives: The present study aimed to investigate the association between asthma and work absence in a large sample of US working adults, while controlling for several sociodemographic and health characteristics. Methods: This study used data from the 2019 Health and Functional Capacity Survey of the RAND American Life Panel (ALP). Work absence corresponded to the number of days of absence from work for health-related reasons in the past 12 months. Current asthma was self-reported and was included in the analyses as a dichotomous variable. Control variables included sex, age, ethnicity, marital status, education, occupation, annual family income, health insurance, and number of chronic physical or psychiatric conditions. Finally, the association between asthma and work absence was analyzed using logistic regression models. Results: This study included 1,323 adults aged 22-65 years (53.1% males; mean [SD] age 43.1 [11.7] years). Individuals with asthma were more likely to report at least one (81.5% versus 56.8%, p-value<0.001) or three days of absence (56.9% versus 31.3%, p-value=0.003) from work in the past 12 months than those without asthma. These findings were corroborated in the regression analyses, as asthma was positively and significantly associated with work absence after adjusting for all control variables (at least one day of absence: OR=3.24, 95% CI=1.44-7.29; at least three days of absence: OR=2.61, 95% CI=1.26-5.40). Conclusions: This US study of working adults showed that asthma was a risk factor for work absence. Further research is warranted to better understand the factors predisposing to work absence in the asthma population.

Is there an association between breast cancer and incident adhesive capsulitis of the shoulder? A retrospective cohort study from Germany.

PURPOSE: Preliminary data suggest that women with breast cancer are at particularly high risk of adhesive capsulitis of the shoulder. Therefore, this study aimed to investigate the potential association between breast cancer and adhesive capsulitis in adults from Germany. METHODS: This retrospective cohort study included all women aged ≥ 18 years who were diagnosed for the first time with breast cancer in one of 1,274 general practices in Germany between January 2000 and December 2018 (index date). Women without breast cancer were matched (1:1) to those with breast cancer using a propensity score based on age at the index date, index year, and the average number of medical consultations per year during the follow-up. In women without breast cancer, the index date was a randomly selected visit date between 2000 and 2018. The association between breast cancer and the 10-year incidence of adhesive capsulitis was studied using Kaplan-Meier curves and a Cox regression model adjusted for age and several comorbidities. RESULTS: There were 52,524 women included in this study (mean [SD] age 64.2 [12.9] years). The 10-year incidence of adhesive capsulitis was 3.6% in both the group with and the group without breast cancer (log-rank p-value = 0.317). The Cox regression analysis further showed no significant association between breast cancer and adhesive capsulitis (HR = 0.96, 95% CI = 0.86-1.08). CONCLUSION: In this sample of women from Germany, breast cancer was not significantly associated with adhesive capsulitis. Although the present preliminary findings are reassuring, general practitioners should regularly assess shoulder function in breast cancer survivors.

Effectiveness of a scalable, remotely delivered stepped-care intervention to reduce symptoms of psychological distress among Polish migrant workers in the Netherlands: study protocol for the RESPOND randomised controlled trial.

BACKGROUND: The COVID-19 pandemic has negatively affected the mental health of international migrant workers (IMWs). IMWs experience multiple barriers to accessing mental health care. Two scalable interventions developed by the World Health Organization (WHO) were adapted to address some of these barriers: Doing What Matters in times of stress (DWM), a guided self-help web application, and Problem Management Plus (PM +), a brief facilitator-led program to enhance coping skills. This study examines whether DWM and PM + remotely delivered as a stepped-care programme (DWM/PM +) is effective and cost-effective in reducing psychological distress, among Polish migrant workers with psychological distress living in the Netherlands. METHODS: The stepped-care DWM/PM + intervention will be tested in a two-arm, parallel-group, randomized controlled trial (RCT) among adult Polish migrant workers with self-reported psychological distress (Kessler Psychological Distress Scale; K10 > 15.9). Participants (n = 212) will be randomized into either the intervention group that receives DWM/PM + with psychological first aid (PFA) and care-as-usual (enhanced care-as-usual or eCAU), or into the control group that receives PFA and eCAU-only (1:1 allocation ratio). Baseline, 1-week post-DWM (week 7), 1-week post-PM + (week 13), and follow-up (week 21) self-reported assessments will be conducted. The primary outcome is psychological distress, assessed with the Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS). Secondary outcomes are self-reported symptoms of depression, anxiety, posttraumatic stress disorder (PTSD), resilience, quality of life, and cost-effectiveness. In a process evaluation, stakeholders' views on barriers and facilitators to the implementation of DWM/PM + will be evaluated. DISCUSSION: To our knowledge, this is one of the first RCTs that combines two scalable, psychosocial WHO interventions into a stepped-care programme for migrant populations. If proven to be effective, this may bridge the mental health treatment gap IMWs experience. TRIAL REGISTRATION: Dutch trial register NL9630, 20/07/2021, https://www.onderzoekmetmensen.nl/en/trial/27052.

Determinants of effective treatment coverage for posttraumatic stress disorder: findings from the World Mental Health Surveys.

BACKGROUND: Posttraumatic stress disorder (PTSD) is associated with significant morbidity, but efficacious pharmacotherapy and psychotherapy are available. Data from the World Mental Health Surveys were used to investigate extent and predictors of treatment coverage for PTSD in high-income countries (HICs) as well as in low- and middle-income countries (LMICs). METHODS: Seventeen surveys were conducted across 15 countries (9 HICs, 6 LMICs) by the World Health Organization (WHO) World Mental Health Surveys. Of 35,012 respondents, 914 met DSM-IV criteria for 12-month PTSD. Components of treatment coverage analyzed were: (a) any mental health service utilization; (b) adequate pharmacotherapy; (c) adequate psychotherapy; and (d) effective treatment coverage. Regression models investigated predictors of treatment coverage. RESULTS: 12-month PTSD prevalence in trauma exposed individuals was 1.49 (S.E., 0.08). A total of 43.0% (S.E., 2.2) received any mental health services, with fewer receiving adequate pharmacotherapy (13.5%), adequate psychotherapy (17.2%), or effective treatment coverage (14.4%), and with all components of treatment coverage lower in LMICs than HICs. In a multivariable model having insurance (OR = 2.31, 95 CI 1.17, 4.57) and severity of symptoms (OR = .35, 95% CI 0.18, 0.70) were predictive of effective treatment coverage. CONCLUSION: There is a clear need to improve pharmacotherapy and psychotherapy coverage for PTSD, particularly in those with mild symptoms, and especially in LMICs. Universal health care insurance can be expected to increase effective treatment coverage and therefore improve outcomes.

Government interventions and control policies to contain the first COVID-19 outbreak: An analysis of evidence.

BACKGROUND: The overarching aim of this study was to evaluate the effectiveness over time of government interventions and policy restrictions and the impact of determinants on spread and mortality during the first-wave of the COVID-19 pandemic, globally, regionally and by country-income level, up to 18 May 2020. METHODS: We created a global database merging World Health Organization daily case reports (from 218 countries/territories) with other socio-demographic and population health measures from 21 January to 18 May 2020. A four-level government policy interventions score (low to very high) was created based on the Oxford Stringency Index. RESULTS: Our results support the use of very high government interventions to suppress both COVID-19 spread and mortality effectively during wave one globally compared to other policy levels of control. Similar trends in virus propagation and mortality were observed in all country-income levels and specific regions. CONCLUSIONS: Rapid implementation of government interventions was needed to contain the first wave of the COVID-19 outbreak and to reduce COVID-19-related mortality.

Prevalence of and factors associated with long-term sick leave in working-age adults with osteoarthritis: a retrospective cohort study conducted in Germany.

PURPOSE: Little is known about the impact of osteoarthritis on the long-term work participation of working-age adults. Therefore, the goal of this study was to investigate the prevalence of and the factors associated with long-term sick leave in people newly diagnosed with osteoarthritis from Germany. METHODS: This retrospective cohort study included patients aged 18-65 years diagnosed with osteoarthritis for the first time (index date) in 1 of 1198 general practices in Germany between 2016 and 2019 (Disease Analyzer database, IQVIA). Patients were considered to be on long-term sick leave if they were absent from work for medical reasons for more than 42 days in the year following the index date. Independent variables included sociodemographic characteristics, type of osteoarthritis, and frequent comorbidities. The association between these variables and long-term sick leave (dependent variable) was studied using an adjusted logistic regression model. RESULTS: This study included 51,034 patients with osteoarthritis [mean (standard deviation) age 50.8 (9.2) years; 50.9% women]. The prevalence of long-term sick leave was 36.2%. Younger age and male sex were positively and significantly associated with long-term sick leave compared with older age and female sex, respectively. There was also a strong relationship between several comorbidities (e.g., reaction to severe stress, and adjustment disorders, gastritis and duodenitis, and depression) with long-term sick leave. CONCLUSIONS: The prevalence of long-term sick leave was high in this sample of patients newly diagnosed with osteoarthritis from Germany. In this context, interventions should be implemented to increase the long-term working participation of people with osteoarthritis.

Are we equally at risk of changing smoking behavior during a public health crisis? Impact of educational level on smoking from the TEMPO cohort.

BACKGROUND: The COVID-19 pandemic as a public health crisis has led to a significant increase in mental health difficulties. Smoking is strongly associated with mental health conditions, which is why the pandemic might have influenced the otherwise decline in smoking rates. Persons belonging to socioeconomically disadvantaged groups may be particularly affected, both because the pandemic has exacerbated existing social inequalities and because this group was more likely to smoke before the pandemic. We examined smoking prevalence in a French cohort study, focusing on differences between educational attainment. In addition, we examined the association between interpersonal changes in tobacco consumption and educational level from 2018 to 2021. METHODS: Using four assessments of smoking status available from 2009 to 2021, we estimated smoking prevalence over time, stratified by highest educational level in the TEMPO cohort and the difference was tested using chi2 test. We studied the association between interpersonal change in smoking status between 2018 and 2021 and educational attainment among 148 smokers, using multinomial logistic regression. RESULTS: Smoking prevalence was higher among those with low education. The difference between the two groups increased from 2020 to 2021 (4.8-9.4%, p < 0.001). Smokers with high educational level were more likely to decrease their tobacco consumption from 2018 to 2021 compared to low educated smokers (aOR = 2.72 [1.26;5.89]). CONCLUSION: Current findings showed a widening of the social inequality gap in relation to smoking rates, underscoring the increased vulnerability of persons with low educational level to smoking and the likely inadequate focus on social inequalities in relation to tobacco control policies during the pandemic.

The Mediating Role of General and Cognitive Stress on the Effect of an App-Based Intervention on Productivity Measures in Workers: Randomized Controlled Trial.

BACKGROUND: Loss of productivity is a result of absence from work (absenteeism) or of working with limitations due to illness (presenteeism). Recently, occupational mental health interventions have increasingly been delivered in digital format, as this is thought to be more convenient, flexible, easily accessible, and anonymous. However, the effectiveness of electronic mental health (e-mental health) interventions in the workplace to improve presenteeism and absenteeism remains unknown, and could be potentially mediated by psychological variables such as stress levels. OBJECTIVE: The aim of this study was to determine the effectiveness of an e-mental health intervention to reduce absenteeism and presenteeism in employees, as well as to investigate the mediating role of stress in this effect. METHODS: Employees of six companies in two countries participated in a randomized controlled trial (n=210 in the intervention group and n=322 in the waitlist control group). Participants in the intervention group could use the Kelaa Mental Resilience app for 4 weeks. All participants were asked to complete assessments at baseline, during the intervention, postintervention, and at a 2-week follow-up. Absenteeism and presenteeism were assessed by means of the Work Productivity and Activity Impairment Questionnaire: General Health, while general and cognitive stress were assessed through the Copenhagen Psychosocial Questionnaire-Revised Version. Regression and mediation analyses were performed to evaluate the effect of the Kelaa Mental Resilience app on presenteeism and absenteeism. RESULTS: The intervention did not have a direct effect on presenteeism or absenteeism, neither at postintervention nor at follow-up. Nevertheless, general stress significantly mediated the intervention effect on presenteeism (P=.005) but not on absenteeism (P=.92), and cognitive stress mediated the effect of the intervention on both presenteeism (P<.001) and absenteeism (P=.02) right after the intervention. At the 2-week follow-up, the mediating effect of cognitive stress on presenteeism was significant (P=.04), although this was not the case for its mediating effect on absenteeism (P=.36). Additionally, at the 2-week follow-up, general stress did not mediate the intervention effect on presenteeism (P=.25) or on absenteeism (P=.72). CONCLUSIONS: While no direct effect of the e-mental health intervention on productivity was found in this study, our findings suggest that stress reduction could mediate the effect of the intervention on presenteeism and absenteeism. As such, e-mental health interventions that address stress in employees might also indirectly reduce presenteeism and absenteeism in these employees. However, due to study limitations such as an overrepresentation of female participants in the sample and a high proportion of attrition, these results should be interpreted with caution. Future research is needed to better understand the mechanisms of interventions on productivity in the workplace. TRIAL REGISTRATION: ClinicalTrials.gov NCT05924542; https://clinicaltrials.gov/study/NCT05924542.

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis.

BACKGROUND: Major depressive disorder (MDD) affects millions of people worldwide, but timely treatment is not often received owing in part to inaccurate subjective recall and variability in the symptom course. Objective and frequent MDD monitoring can improve subjective recall and help to guide treatment selection. Attempts have been made, with varying degrees of success, to explore the relationship between the measures of depression and passive digital phenotypes (features) extracted from smartphones and wearables devices to remotely and continuously monitor changes in symptomatology. However, a number of challenges exist for the analysis of these data. These include maintaining participant engagement over extended time periods and therefore understanding what constitutes an acceptable threshold of missing data; distinguishing between the cross-sectional and longitudinal relationships for different features to determine their utility in tracking within-individual longitudinal variation or screening individuals at high risk; and understanding the heterogeneity with which depression manifests itself in behavioral patterns quantified by the passive features. OBJECTIVE: We aimed to address these 3 challenges to inform future work in stratified analyses. METHODS: Using smartphone and wearable data collected from 479 participants with MDD, we extracted 21 features capturing mobility, sleep, and smartphone use. We investigated the impact of the number of days of available data on feature quality using the intraclass correlation coefficient and Bland-Altman analysis. We then examined the nature of the correlation between the 8-item Patient Health Questionnaire (PHQ-8) depression scale (measured every 14 days) and the features using the individual-mean correlation, repeated measures correlation, and linear mixed effects model. Furthermore, we stratified the participants based on their behavioral difference, quantified by the features, between periods of high (depression) and low (no depression) PHQ-8 scores using the Gaussian mixture model. RESULTS: We demonstrated that at least 8 (range 2-12) days were needed for reliable calculation of most of the features in the 14-day time window. We observed that features such as sleep onset time correlated better with PHQ-8 scores cross-sectionally than longitudinally, whereas features such as wakefulness after sleep onset correlated well with PHQ-8 longitudinally but worse cross-sectionally. Finally, we found that participants could be separated into 3 distinct clusters according to their behavioral difference between periods of depression and periods of no depression. CONCLUSIONS: This work contributes to our understanding of how these mobile health-derived features are associated with depression symptom severity to inform future work in stratified analyses.

Connecting and feeling: Associations between social factors and emotions in nine countries.

We aimed to explore the distribution of positive and negative emotions across nine low-, middle- and high-income countries; and the association between social factors and these emotions. Data were drawn from the SAGE and the COURAGE studies, with 52,553 participants. Emotions were assessed through the day reconstruction method.Sociodemographic characteristics and social factors were also measured. Multiple linear regressions were performed. Finland, China and African countries showed significantly lower scores on the negative emotions, whereas positive emotions were more homogeneous across countries. Loneliness was positively associated with negative emotions and negatively associated with positive ones; frequent social participation was related with higher scores in positive emotions; and lower trust with higher levels of feeling rushed, irritated, depressed and less calm. The extent to which each emotion was felt varied across countries, but there seems to exist an association of social factors with the emotions.