Depressive symptoms and socioeconomic status among the labor force: Evidence from China's representative sample

Application of Intersectionality Framework andArea-level Indicators in Machine Learning Analysisof Depression Disparities in All of Us ResearchProgram Data

Background/objective

Depression is a complex mental health disorder influenced by various social determinants of health (SDOH) at individual and community levels. Area-level factors and intersectionality framework, which considers overlapping personal identities, are used in this paper to get a nuanced picture of depression disparities.

Methods

This cross-sectional study uses electronic health records data from the All of Us research network. Our study cohort includes 20,042 individuals who completed the SDOH surveys in All of Us and had at least one in-patient visit, with 27.3% diagnosed with depression since 2020. We used depression diagnosis as an outcome, while independent variables include US Religious Census and American urvey responses, area-level variables, sociodemographic characteristics: age group, income, gender, sexual orientation, immigration status, marital status, and race/ethnicity - and the interactions of the latter with each other and with other variables. The association between depression diagnosis and the variables is reported by fitting the logistic regression model on the subset of variables identified by LASSO method.

Results

The analysis revealed that area-level indicators, such as religious adherence and childbirth rates, significantly influenced depression outcomes when interacting with personal identity variables: area-level religious adherence was associated with increased depression odds for women (OR 1.33, 95% CI 1.15-1.54) and non-binary individuals (OR 3.70, 95% CI 1.03-13.31). Overlapping identities, such as younger adults unemployed for less than a year and never married Middle Eastern and North African participants showed higher depression odds (OR 2.3, 95% CI 1.06-4.99, and OR 3.35, 95% CI 1.19-9.45, respectively).

Discussion/Conclusion

The findings underscore the importance of considering all types of factors: individual, area-level, and intersectional in depression research.

The effect of childhood family adversity on adulthood depression among Chinese older migrant workers: gender differences in the mediating role of social-ecological systems

BACKGROUND

Older migrant workers (OMWs) in China face unique challenges rooted in their early life experiences, which increase their vulnerability to psychological and behavioral problems in adulthood. By utilizing the cumulative disadvantage model and the social-ecological systems theory, this study explored the effect of childhood family adversity on adulthood depression in the mediating roles of OMWs' social-ecological microsystem and mesosystem and further examined gender differences in these associations.

METHODS

Data were collected from the China Health and Retirement Longitudinal Study (CHARLS), involving a sample of 4,309 OMWs aged 50 and above. The measures included the Center for Epidemiological Research Depression Scale, childhood family adversity, socioeconomic status, marital quality, and physical and cognitive health.

RESULTS

Childhood family adversity was positively associated with adulthood depression among OMWs. Social microsystem (physical and cognitive health) and mesosystem (marital quality and socioeconomic status) factors significantly mediated this relationship. Multi-group analysis revealed that the mediating effects of marital quality and socioeconomic status were stronger for female OMWs, while the mediating effects of physical and cognitive health were stronger for male OMWs.

CONCLUSIONS

The findings suggest that childhood family adversity has a lasting impact on the mental health of OMWs, and that social-ecological systems factors play an important role in this relationship. The study also highlights the need for gender-specific interventions to address the mental health needs of OMWs.

Regional differences in the effects of healthy aging on depressive symptoms: a Korean longitudinal study of aging (2006-2020)

Background

Depression is a widely prevalent, often recurrent condition. To analyze the regional differences in depressive symptoms over time, we investigated urban-rural differences in change in depression over time in South Korea and the association between healthy aging and depressive symptoms among middle-aged and older adults.

Methods

Data collected in the Korean Longitudinal Study of Aging, from 2006 to 2020, of adult participants aged ≥45 years without depressive symptoms were analyzed. Healthy aging was defined under five principal components: absence of chronic disease, good physical function, normal cognitive function, active social engagement, and good psychological adaptation. Depressive symptoms were measured using the short version of the Center for Epidemiologic Studies Depression Scale. Using the Andersen-Gill model for recurrent time-to-event, we examined the effect of healthy aging on depressive symptoms, with a subgroup analysis based on the residential area.

Results

Of the 7,708 participants, 78.2% lived in urban areas and 39.4% achieved healthy aging. In 2008, rural residents had a higher incidence of depressive symptoms (rural 11.8%; urban 8.9%); however, after 2016, the depressive symptoms of urban residents gradually increased (rural 6.4%; urban 12.1%). Unhealthy aging (adjusted hazard ratio = 3.04, 95% confidence interval: 2.72-3.39) and urban residence (adjusted hazard ratio = 1.15, 95% confidence interval: 1.06-1.24) were risk factors for depressive symptoms. The subgroup analysis revealed that individuals who did not achieve healthy aging had an increased risk of depressive symptoms, regardless of their residential area (hazard ratio [95% confidence interval]: urban, 3.13 [2.75-3.55]; rural 2.59 [2.05-3.28]).

Conclusion

As urbanization accelerates, urban residents have a higher risk of depressive symptoms than rural residents. Healthy aging is an essential factor in reducing depressive symptoms. To achieve healthy aging, appropriate interventions and policies that target the middle-aged adults and gradually extend to older adults are needed, considering individual and regional factors.

Changes in mental health problems during the COVID-19 pandemic in Mexican youth: Insights from the Voces-19 study

BACKGROUND

Previous research suggests that the mental health impacts of the COVID-19 pandemic were stronger during the first months of it. It has also been proposed that those impacts depended on gender and other social determinants.

AIMS

We aim to describe the change in prevalence of mental health problems (symptoms of common mental disorders [CMD], alcohol, and drug use) between two time periods during the pandemic, and the association of mental health problems with social determinants, in adolescents and young adults in Mexico.

METHODS

We conducted a repeated cross-section analysis of data from VoCes-19, an online survey in November 2020 to February 2021 and November 2021 to March 2022 (combined n = ×224,099). We assessed the change in the prevalence of mental health problems, the differences in prevalence and change in the prevalence by gender, and the association of social determinants and pandemic-related variables with mental health problems, by means of multivariate regression models.

RESULTS

The prevalence of CMD decreased (46.0% vs. 42.4%), while the prevalence of alcohol (frequent use 8.4% vs. 10.3%) and drug use (4.6% vs. 7.7%) increased. The three conditions increased more among girls/young women and trans/queer/non-binary participants than among boys/young men.

CONCLUSIONS

The results point to the importance of considering the gendered social context of young people. A better understanding of the social circumstances that relate with mental health is required to inform interventions for these age groups.

How is physical attractiveness associated with depression in China: A moderated mediation analysis

Rewarding beauty has never fallen out of vogue in human history. Attractive people enjoy many social and economic advantages. This study aims to investigate the relationship between physical attractiveness and depression and its potential mechanism among Chinese residents. A population-based data including 12,172 Chinese adults from 3 waves of CFPS (2012, 2016, 2020) were used. Moderated-mediation models were utilized to assess the mediation effect of unfair experiences and the moderation effect of socioeconomic-status (SES), in the linkage between physical attractiveness and depression. Firstly, our results demonstrated that physical attractiveness is negatively associated with depression. Secondly, the effect of unfair experiences as a mediator between physical attractiveness and depression is statistically significant. Lastly, socioeconomic status (SES) performs a crucial moderating role. Among Chinese residents, the mitigating effect of physical attractiveness on unfair experiences and depression would be stronger among those with a lower SES compared to those with a higher SES.

The moderating role of physical activity on the relationship between work intensity and depressive symptoms among the employees

Our aim was to examine the associations between work intensity and depressive symptoms among the working population, as well as to identify the impact of physical activity (PA) on these relationships. Spearman correlation analysis was conducted to analyze the correlations among work intensity, PA, and depressive symptoms. Working hours and working days were positively correlated with depressive symptoms (r = 0.108, 0.063; all p values were <0.001). Regular PA, exercise time, exercise frequency, and exercise years were negatively correlated with depressive symptoms (r = -0.121, -0.124, -0.152, -0.149; all p values were <0.001) and working days (r = -0.066, -0.050, -0.069, -0.044; all p values were <0.001), working hours (r = -0.113. -0.106, -0.161, -0.123; all p values were <0.001). Working days was positively correlated with working hours (r = 0.512, p < 0.001). Different levels of PA alleviated the effect of working hours or working days on depressive symptoms. Working hours seemed to be more correlated with depressive symptoms than working days. The results suggest that PA at any level could buffer against the effects of work intensity and might prove a helpful strategy for improving mental health issues among employees.