Socio-economic and demographic patterns of mental health complaints among the employed adults in Estonia

Education and suicidal ideation in Europe: A systematic review and meta-analysis

BACKGROUND

Understanding predictors of suicidal ideation (SI) is crucial for preventing suicides. Given Europe's high suicide rates and the complex nature of SI, it is essential to also examine social determinants like education as potential risk factors for SI in this region. This systematic review and meta-analysis investigates the association between formal/vocational education and SI in Europe.

METHODS

Electronic databases (PubMed, Web of Science, PsycINFO, PSYNDEX) were searched until November 2022. Included studies involved European populations examining associations between education and SI. Pooled Odds Ratios (OR) with 95 % confidence intervals (CI) were calculated using random-effects models. Heterogeneity was assessed with the heterogeneity variance τ2 and I2 statistic; subgroup analyses were performed based on study characteristics. Risk of bias was assessed using an adaption of the Newcastle-Ottawa Scale.

RESULTS

From 20,564 initial studies, 41 were included in the meta-analysis (outlier-adjusted, 96,809 study participants). A negative, insignificant association (OR = 0.86, 95 % CI: 0.75; 1.00) was observed between education and SI, with significant heterogeneity (τ2 = 0.09, I2 = 73 %). Subgroup analyses indicated that population type, age group, categorization of education, timeframe of SI assessment, and study quality significantly moderated the effect size.

LIMITATIONS

Heterogeneity across studies limits generalizability. The cross-sectional design precludes establishing causal relationships, and social desirability bias may have underestimated the association between education and SI.

CONCLUSIONS

This systematic review and meta-analysis suggests a trend towards a protective effect of education on the emergence of SI in Europe. Future research, preferably with longitudinal study design examining various covariates, should systematically consider educational inequalities in SI.

Social determinants of anxiety and mood disorders in a nationally-representative sample - Results from the Saudi National Mental Health Survey (SNMHS)

INTRODUCTION

Social determinants of health (SDH) influence and modify the risk for mental health disorders. To our knowledge, no study has explored SDH in the context of mental health in Saudi Arabia (SA) using population-based data. This study investigated the association between several SDH and anxiety and mood disorders in SA.

METHODS

We utilized data from the nationally-representative Saudi National Mental Health Survey (SNMHS) conducted in 2014 to 2016. This study examined associations between personal-level, socioeconomic, physical health, and family environment characteristics and anxiety and mood disorders. Participants were classified as having anxiety-only disorders, mood-only disorders, or comorbidity of both disorders. Multinomial logistic regression models were employed to examine the associations between SDH and anxiety and/or mood disorders, comparing them to participants who had not experienced these disorders.

RESULTS

A total of 4,004 participants were included in this analysis; the lifetime prevalence of disorders was: anxiety only (18%), mood only (3.8%), and comorbidity of both (5.3%). Regression models indicated that females, young adults (26-35 years), individuals with a higher level of education, and those who were separated or widowed had higher odds of experiencing anxiety and/or mood disorders. Furthermore, there was a significant and direct association between having physical chronic conditions and all three categories of anxiety and mood disorders. Experiencing Adverse Childhood Events (ACEs) was also associated with a significant risk of developing anxiety and/or mood disorders, with the highest risk associated with physical or sexual abuse, followed by violence and neglect.

CONCLUSION

This study underscores the correlation between several personal-level, socioeconomic, and environmental SDH and anxiety and mood disorders in SA. These findings provide a foundation for future analyses examining the intricate interplay between upstream and downstream SDH in SA. Such research can enhance local scientific knowledge, aid in planning for social services, and inform policy decisions and treatment strategies.

Correlation of Positive Psychological Health among US Adults (Aged ≥ 50 Years) with Pain and Documented Opioid Treatment

In this study, we aimed to identify the factors correlated with positive psychological health among United States older adults (≥50 years) with pain and documented opioid treatment. This retrospective cross-sectional study utilized a nationally representative dataset (Medical Expenditure Panel Survey). A multivariable logistic regression model was developed to assess the correlation of positive psychological health in the eligible population. The logistic regression model showed having excellent/very good/good (versus fair/poor) perceived health (adjusted odds ratio [AOR] = 9.062; 95% confidence interval [CI] = 5.383, 15.254) had a statistically significant correlation with positive psychological health among the eligible population. This finding offers important insights for clinicians and policymakers to consider when formulating approaches to better manage the psychological health of United States older adults with pain and documented opioid treatment.

Assessment and Psychometric Properties of the 21-Item Depression Anxiety Stress Scale (DASS-21) among Portuguese Higher Education Students during the COVID-19 Pandemic

The COVID-19 pandemic has caused substantial disruptions in the lives of higher education students, with detrimental repercussions for academic performance and overall mental health. Therefore, we aimed to evaluate the prevalence of depression, anxiety, and stress symptoms among Portuguese higher education students during the first wave of the coronavirus pandemic and investigate DASS-21's psychometric characteristics and whether it functions effectively during a pandemic. A convenience sampling procedure was used to recruit 1522 participants (75.1% women and 79.2% undergraduate students) for this cross-sectional research. Participants completed an e-survey created using DASS-21. The results revealed a considerable prevalence of symptoms of depression [≥10] (N = 434, 28.5%), anxiety [≥7] (N = 551, 36.2%), and stress [≥11] (N = 544, 35.7%). Confirmatory factor analysis (CFA) revealed the scale's three-factor structure, which matched the three DASS-21 subscales. Subsequently, the heterotrait-monotrait (HTMT) correlation ratio evaluated the scale's discriminant validity, which was relatively good. Cronbach's alpha measured the internal consistency of the DASS subscales, which was excellent (Cronbach's α > 0.90). DASS-21 was shown to be a reliable and appropriate measure for assessing students' mental health. Furthermore, DASS-21 is recommended for use by academics and healthcare professionals in measuring students' psychological distress. Further validation studies of this scale are needed with larger and more representative samples.