Macro-level socioeconomic factors and mental health in midlife and older adults in China: a multilevel analysis
2024

Socioeconomic Factors and Mental Health in Older Adults in China

Sample size: 17547 publication 10 minutes Evidence: moderate

Author Information

Author(s): Li Guannan, Tampubolon Gindo, Maharani Asri, Tu Chenglin

Primary Institution: The University of Manchester

Hypothesis

This study explores the associations between macro-level socioeconomic factors and mental health indicators among middle-aged and older adults in China.

Conclusion

The study suggests that economic development improves depressive status, while economic inequality negatively affects cognitive functions and life satisfaction.

Supporting Evidence

  • Economic development is linked to better mental health outcomes.
  • Economic inequality negatively impacts cognitive function and life satisfaction.
  • Provincial variations exist in mental health indicators across China.
  • Older adults with lower economic status report worse mental health.
  • Governmental willingness to invest in public health was not significantly associated with mental health outcomes.

Takeaway

This study found that better economic conditions can help older people feel less depressed, but inequality can make them feel worse about their lives and their thinking abilities.

Methodology

The study used individual-level data from the Harmonised China Health and Retirement Longitudinal Survey (H-CHARLS) and provincial-level data from the Chinese Statistical Yearbook, employing two-level linear mixed models for analysis.

Potential Biases

Potential biases may arise from self-reported measures and the cross-sectional nature of the data.

Limitations

The study's cross-sectional design limits causal inferences, and it may not account for all relevant macro-level factors affecting mental health.

Participant Demographics

Participants were middle-aged and older adults aged 45 and above, with a slight majority being female (51.33%).

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fpubh.2024.1435263

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