Association between social capital and depression among critically ill patients: evidence from a cross-sectional study in rural Shandong, China

Temporal trend and subgroup disparities in the prevalence and treatment of those who screen positive for depression in China: A population-based study

Background

In China, improving mental health has been far behind its accomplishments for other diseases. With depression as one of the most prevalent mental disorders, the aim of this study was to evaluate temporal trends in the prevalence and treatment of those who screen positive for depression in China, by age, gender, and province.

Methods

We used data from three nationally representative sample surveys: the China Health and Retirement Longitudinal Study (CHARLS), the China Family Panel Studies (CFPS), and the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Depression was judged by the Centre for Epidemiologic Studies Depression Scale. Access to treatment was judged by two items: if respondents received any treatment like anti-depressants, or if respondents received counselling from a mental health professional. Survey-specific weighted regressions were fitted to estimate the temporal trend and subgroup disparities, and then pooled by meta-analysis.

Results

In total 168,887 respondents were investigated. The overall prevalence of China populations who screen positive for depression was 25.7% (95% CI 25.2-26.2) during 2016-2018, decreased from 32.2% (95% CI 31.6-32.8) during 2011-2012. The gender gap increased with age and had no significant improvement from 2011-2012 to 2016-2018. The prevalence of depression in developed areas is more likely to show a lower value and decreasing trend, while the prevalence in underdeveloped areas is more likely to show a higher value and increasing trend, from 2011-2012 to 2016-2018. The overall proportion of those who received any needed treatment or counselling from a mental health professional slightly increased from 2011 (0.5%, 95% CI 0.4-0.7) to 2018 (0.9%, 95% CI 0.7-1.2), and mainly occurred for older adults aged 75 and above.

Conclusion

The prevalence of those who screen positive for depression decreased by about 6.5% from 2011-2012 to 2016-2018 in China, but only tiny improvements were made in accessibility to mental health care. Corresponding disparities were identified in age, gender, and province.

The associations between cognitive function and depressive symptoms among older Chinese population: A cohort study

With the rapid development of society, population aging has emerged as a significant global challenge. This study aimed to evaluate the impact of baseline cognitive performance, current cognitive function, and cognitive decline on subsequent depressive symptoms. Data were obtained from participants aged 65 years and older in the Chinese Longitudinal Healthy Longevity Survey (CLHLS), Wave 2014-2018. Of the 7,192 participants in Wave 2014, 1,627 were included in the analysis. Multivariate regressions were conducted to estimate the associations between cognitive measures and depressive symptoms. Our results indicated that baseline cognitive function was not associated with subsequent depressive symptoms, but current cognitive function was. Furthermore, participants who experienced significant cognitive decline were more likely to develop depressive symptoms. Covariates, including marital status, economic status, physical activity, and recreational activity, were also associated with subsequent depressive symptoms. These findings suggest that slowing cognitive decline is an effective strategy for preventing depressive symptoms in older adults, promoting their health and wellbeing.

Structural equation modeling of the effects of psychological distress and a fear of coronavirus disease 2019 on diabetes care in Japan: a cross-sectional study

This study aimed to examine the effects of psychological distress and a fear of coronavirus disease 2019 (COVID-19) on diabetes care in Japan. We used data from a 2020 nationwide Internet survey in Japan involving 28,000 respondents aged 15–79 years. The question items included psychological factors (Kessler psychological distress scale and fear of COVID-19), employment, trust in neighbors, informal caregiving, and history of diabetes care. After excluding respondents with comorbidities and those who had not visited the hospital, 625 patients with diabetes were analyzed. Statistical mediation was then examined through a path analysis using structural equation modeling (SEM). Discontinued diabetes care was independently associated with psychological distress (risk ratio = 1.44, 95% confidence interval [1.01–2.06]) and a fear of COVID-19 (1.41 [1.01–1.95]). The SEM results indicated that a fear of COVID-19, employment, trust in neighbors, and informal caregiving were indirectly associated with continued diabetes care via psychological distress. These findings suggest that a fear of COVID-19 may affect psychological distress and continued diabetes care among patients with diabetes in Japan, and that trust in neighbors and family caregiving may be related to the discontinuation of diabetes care. Therefore, because psychological factors and socioeconomic status may affect diabetes care, it is important to consider a fear of COVID-19 among patients with diabetes to maintain diabetes treatment.

Association between social capital and depression among older adults of different genders: Evidence from Hangzhou, China

In China, it is critical to help older adults cope with depression due to the emerging impacts of factors such as increased life expectancy and the "one-child" family planning policy. Meanwhile, differences in retirement age have different effects on health in older adults of different gender. The relationship of gender differences in social capital and depression across the elderly population was unclear. Focusing on this demographic, this study conducted a telephone survey to explore the relationship between social capital and depression. Referring to electronic medical records, we randomly selected 1,042 elderly respondents (426 men, 616 women) from four areas in Hangzhou. We used social capital measurements and the Geriatric Depression Scale (GDS-15) to assess social capital and depression, respectively, then employed a multivariate logistic regression and structural equation modeling to examine the associations between factors, along with a consideration of gender. This study was discovered that differences in both income and morbidity contributed to differences in social capital and depression. In our sample of elderly respondents, we also found gender-based differences in cognitive and structural social capital. Compared to men, women were more likely to attain higher social capital and less likely to develop depression. At the same time, social networking and social engagement had negative impacts on depression in women, which was not the case for men. We found that lower reciprocity (men and women), social work (men), and trust (women) indicated higher risks of depression. Reciprocity and social networks were significantly and negatively correlated with depression among male respondents; in the male model, factors of trust, reciprocity, and social participation had positive effects on reducing the risk of depression, while social networks had a negative effect. For elderly persons, these findings suggest that mental health is affected by differences in social capital caused by policy differences and cultural differences caused by gender differences.