Advances in Social Behavior Research

Advances in Social Behavior Research

Vol. 6, 28 March 2024


Open Access | Article

The Effect of Income on Depression in Old Age-Empirical Analysis Based on CHARLS 2020

Qian Shi 1 , Ziye Meng 2 , Lu Qiao * 3
1 Nanchang University
2 Beijing Sport University
3 Beijing Sport University

* Author to whom correspondence should be addressed.

Advances in Humanities Research, Vol. 6, 65-69
Published 28 March 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Qian Shi, Ziye Meng, Lu Qiao. The Effect of Income on Depression in Old Age-Empirical Analysis Based on CHARLS 2020. ASBR (2024) Vol. 6: 65-69. DOI: 10.54254/2753-7102/6/2024051.

Abstract

The study examines the impact of income on depression levels among individuals aged 60 and older using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020. It found a correlation between income and depression, but the regression analysis did not show statistical significance. Higher levels of depression were associated with marriage and self-rated physical health, while lower levels were associated with gender, education level, and place of living. The research suggests a "four-in-one" synergistic process to improve the mental health and well-being of the elderly.

Keywords

depression in old age, income, CHARLS 2020

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
ISBN (Print)
ISBN (Online)
Published Date
28 March 2024
Series
Advances in Social Behavior Research
ISSN (Print)
2753-7102
ISSN (Online)
2753-7110
DOI
10.54254/2753-7102/6/2024051
Copyright
28 March 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated