The dynamic relationship between subjective social status and health: Evidence from a Chinese cohort study

Socioeconomic inequalities in the relationship between internet usage patterns and depressive symptoms: Evidence from a Chinese longitudinal study

Background

The increasing prevalence of depressive symptoms has emerged as a critical public health issue globally, highlighting the need for analyses of the factors contributing to depressive symptoms within the Chinese population and the development of targeted recommendations for improving mental well-being. We aimed to explore the correlation between internet use and depressive symptoms and the role of socioeconomic inequalities in this association.

Methods

We included data on 8019 residents aged 18 years and above, which we retrieved from the 2018 and 2020 waves of the China Family Panel Studies. We used latent profile analysis to categorise individuals' internet usage patterns and multiple linear regression to determine their association with depressive symptoms.

Results

Higher socioeconomic status (SES) was associated with fewer depressive symptoms (τ = -0.08; 95% confidence interval (CI) = -0.36, -0.18). Individuals in the high-dependence group presented a greater likelihood of developing depressive symptoms (τ = 0.04; 95% CI = 0.007, 0.66). We observed no significant difference in the interaction effect between individual-level SES and the four patterns of internet usage. However, compared with urban-dwelling respondents, those in rural areas had a stronger association between internet usage patterns and depressive symptoms, especially those in the high-dependence group (τ = -0.07; 95% CI = -1.47, -0.20).

Conclusions

Our findings indicate a significant association between depressive symptoms and internet usage patterns, indicating a need for interventions related to internet use, especially those targeted at reducing the risk of depressive symptoms in individuals of lower SES.

Association between digital engagement and urban-rural disparities in Chinese women's depressive symptoms: A national-level cross-sectional study

Objectives

This study aims to investigate the impact of digital engagement on urban-rural disparities in depressive symptoms among Chinese women.

Methods

Using a dataset from the China Family Panel Studies (CFPS) wave 2020, this study analyzes the impact of digital engagement on the urban-rural disparity in women's depressive symptoms using multiple linear regression and recentered influence function (RIF) models. Furthermore, the extent to which digital engagement affects the urban-rural disparity in women's depressive symptoms was calculated using the RIF decomposition method.

Results

Analysis showed that rural women had significantly higher levels of depressive symptoms compared to urban women; digital engagement significantly reduced women's depressive symptoms levels and mitigated the urban-rural disparity for women with moderate to high levels of depressive symptoms, and the mitigating effect was stronger for the highly depressed sample, but still widened the urban-rural disparity in women's depressive symptoms overall. In addition, the results of the RIF decomposition showed that digital engagement explained 28.28% of the urban-rural disparity in women's depressive symptoms.

Conclusion

There is a significant disparity in depressive symptoms levels between urban and rural women in China. Digital engagement reduces women's depressive symptoms, but it also widens the depressive symptoms disparity between urban and rural women overall. Digital engagement is potentially positive for reducing women's depressive symptoms.

Relationship between household financial debt and depressive symptoms: a longitudinal study in China

OBJECTIVES

To examine the impacts of household financial debt on depressive symptoms and its possible mediating mechanisms.

DESIGN

A nationally representative longitudinal study using the ordinary least squares regression model, fixed-effects model, and instrumental variable approach to explore the relationship between household financial debt and depressive symptoms and further using structural equation models and the Bootstrap method to analyse the mediating effects.

SETTING

The China Family Panel Studies (CFPS) database.

PARTICIPANTS

Three waves of longitudinal data in 2012, 2016, and 2018 from CFPS were used. A total of 103,247 individuals over the age of 18 were included in our study sample.

OUTCOME MEASURES

Depression symptoms were assessed using an eight-item version of the Center for Epidemiologic Studies Depression Scale (CES-D8). We summed these eight items to conduct a depressive symptoms index to measure depressive symptoms.

RESULTS

Among the sample, 35.3% of the households have financial debt, 49.7% of the sample are male, 73.2% of them have rural hukou, and the average age was 46.6. Regression results showed that household financial debt had a negative effect on depressive symptoms (β=0.655, 95% CI 0.602 to 0.707, p<0.01). This result remained robust after using instrumental variables with fixed effects (β=0.483, 95% CI 0.311 to 0.656, p<0.01). Household financial debt could affect depressive symptoms through mediating variables such as working pressure (p<0.05) and life happiness (p<0.01).

CONCLUSION

Our study showed that household indebtedness in China had a negative effect on depressive symptoms. Also, we found some mediating mechanisms for this effect, which might help provide new guidance for psychological interventions to promote the mental health of indebted residents.

The Impact Mechanism of Household Financial Debt on Physical Health in China

In recent years, Chinese household financial debt has been growing rapidly due to the expansion of mortgage lending. This study aims to examine the impact mechanism of Chinese household financial debt on physical health. Using the 2010-2018 China Household Tracking Survey (CFPS) panel data, we developed fixed effects models to explore the effect of household financial debt on individuals' psychical health, and we also used an instrumental variable to address endogeneity. The findings suggest that there is a negative effect of household financial debt on physical health and these findings still hold after a series of robustness tests. In addition, household financial debt can affect individuals' physical health through mediating variables, such as healthcare behaviors and mental health, and the effects are more significant for those who are middle-aged, married, and with low-income levels. The findings of this paper are important for developing countries to clarify the relationship between household financial debt and population health, and to develop appropriate health intervention policies for highly indebted households.

Internet use and rural-urban mental health inequalities: Evidence from China

Introduction

In the context of the new digital era, clarifying the relationship between Internet use and urban and rural residents' mental health is of important value for reducing rural-urban health inequalities. This paper aims to study the association between Internet use and rural-urban mental health inequalities.

Methods

Based on the data of the China Family Panel Studies (CFPS) in 2020, we firstly examined the existence and specific manifestation of mental health inequalities between urban and rural residents. Secondly, we examined the mediating effect of Internet use by the Bootstrap mediating effect measure. Finally, we verified the robustness of the mediating effect.

Results

There are significant mental health inequalities between urban and rural residents, and urban residents have better mental health than rural residents (p < 0.01). In addition, the test results for the mediating effect of Internet use on mental health inequalities between urban and rural residents were significant (p < 0.01), with a direct effect of -0.028 (p < 0.01) and an indirect effect of -0.49 (p < 0.01), and this result remained significant in the robustness test.

Discussion

In such a new age of the Internet, mental health inequalities between urban and rural residents objectively did exist, and the use of the internet played a positive mediation effect on the formation of mental health inequalities between urban and rural areas.

Exploring Chinese Elderly's Trust in the Healthcare System: Empirical Evidence from a Population-Based Survey in China

This research aims to investigate how much the Chinese elderly trust the healthcare system and the critical factors that influence their trust. We use data from the China Social Survey (CSS) collected by the Chinese Academy of Social Sciences in the year 2019 to examine how demographic factors, social-economic status, internet access, and perceptions of the healthcare system impact the Chinese elderly's trust in the healthcare system. Our research finds male gender, high educational level, and having internet access are negatively related to the elderly's trust in the healthcare system. Our research also reveals that the elderly's trust in the healthcare system was significantly related to their subjective perception of their social-economic status, upward mobility, and perception of accessibility and affordability rather than other objective indicators such as income and financial protection. The results imply that the elderly have a pessimistic expectation of their subjective social status and future possibilities of upward mobility in their later life, which deepens their distrust of the health system. Additionally, the accessibility and affordability of the healthcare system have remained problematic among the Chinese elderly. The study provides important theoretical and practical implications to enhance the elderly's trust in the healthcare system.