Negative life events and self-harm among the elderly: Result from a survey of 7070 people aged≥60 in China

Combined effects of physical activity and life events on depression and PTSD in Chinese students aged 16-24 years

Background

Life events are important risk factors for depression and post-traumatic stress disorder (PTSD). Physical activity is a beneficial behavior to physiological and psychological health. While it has not been reported at present the combined effect of physical activity and life events on individual depression and PTSD, and whether it can alleviate the psychological risks induced by life events.

Objective

To comprehensively investigate the current status of life events experiences in Chinese students aged 16-24 years and analyze the combined effects of physical activity and life events on their depression and PTSD.

Methods

An online cross-sectional survey was conducted on physical activity levels, life events experiences, depression and PTSD of 1,552 Chinese students aged 16-24 using short version of International Physical Activity Questionnaire (IPAQ-S), adolescent self-rating life events checklist (ASLEC), PTSD Check List-Civilian Version (PCL-C) and Patient Health Questionnaire Depression Scale. Then, logistic regression equation and stratified analysis were used to explore the combined effects of physical activity and life events on depression and PTSD.

Results

Regression analysis showed that, except for female, <8 h of sleep, smoking, single parent/reorganized families and poor family economic status, experiencing medium-intensity and high-intensity life events were both risk factors for depression. Compared with those who experienced low-intensity life events, those who experienced medium- and high-intensity life events had a 27 and 131% increased risk of depression, respectively. In contrast, medium- and high-level physical activity could reduce the risk of depression by 49 and 53%, respectively. Similar results were obtained with PTSD as a dependent variable. Combined correlation analysis showed that, compared with those with high-level physical activity and low-intensity life events, those with low-level physical activity and high-intensity life events had a 209 and 121% increased risk of depression and PTSD, respectively. Stratified analysis showed that the threshold for life events induced depression and PTSD rose with the increase in the level of physical activity.

Conclusion

Lack of physical activity and experience of high-intensity life events are independent risk factors for depression and PTSD, and strengthening physical activity can compensate for the harm of depression and PTSD caused by life events to some extent.

Negative life events, sleep quality, and depression among older adults in Shandong Province, China: A conditional process analysis based on economic income

AIM

Negative life events have been reported as a risk factor for depression. However, the mechanism between negative life events and depression is still unclear. This study aimed to explore the mediating role of sleep quality and the moderating role of economic income in the association between negative life events and depression among older adults aged 60 years and over.

METHODS

A multi-stage stratified sampling method was used to select elderly individuals over 60 years old in Shandong, China, making use of the Household Health Interview Survey (2020). In total, 3868 older adults completed the measures of negative life events, sleep quality, depression, and economic income.

RESULTS

Negative life events positively predicted depression among the elderly (proportion of direct effect, 55.12%), and poor sleep quality could mediate this association (proportion of indirect effect, 44.87%). Economic income played a moderating role in the relationship between negative life events, sleep quality, and depression (the first and second half of the mediating effect, the direct effect of negative life events on depression). Both effects were weaker among the elderly with higher economic incomes.

CONCLUSIONS

Negative life events had positive effects on depression in older adults. Economic income moderated the direct effect of negative life events and the mediating effect (first and second half) of sleep quality on depression. When the elderly experience negative life events, interventions for improving their sleep quality and financial support could effectively prevent depression. Geriatr Gerontol Int 2024; 24: 751-757.

Negative Life Events on Depression of Vocational Undergraduates in the Partial Least Squares Structural Equation Modeling Approach Perspective: A Mediated Moderation Model

BACKGROUND

Following China's strategy of developing applied and compound social talents, vocational undergraduates are surging rapidly, and it is essential to understand the causes of their depression to effectively prevent and intervene in schools.

OBJECTIVE

We aimed to investigate the relationship between negative life events (NLEs) and depression among vocational undergraduates in China, along with the mediating role of loneliness and the moderating role of socioeconomic status (SES).

METHODS

A convenience sample survey was conducted at a vocational education university (N = 1487), and analyzed using partial least squares structural equation modeling.

RESULTS

Findings showed that NLEs directly predicted depression (β = 0.399, 95% CI [0.339, 0.452], p < 0.001) among vocational undergraduates. Furthermore, this relationship was partially mediated by loneliness (β = 0.182, 95% CI [0.145, 221], p < 0.001); SES moderated the link between NLEs and depression (β = 0.051, 95% CI [0.004, 092], p < 0.05), but not between NLEs and loneliness (p > 0.05).

CONCLUSIONS

The current study highlights the impact of NLEs on depression among vocational undergraduates, indicating the importance of addressing NLEs and consequent feelings of loneliness to promote mental health. In addition, the moderating role of SES underscores the necessity of targeted interventions to mitigate the impact of NLEs on depression. The present study contributes to our understanding of the unique characteristics of depression in vocational undergraduates and has practical implications for psychological support services. Moreover, it probably has broader implications for addressing mental health challenges in global education settings for vocational undergraduates.

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.