Volume 22 Issue 8
Aug.  2024
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CHEN Siwei, HUO Xinran, ZHANG Ning. Analysis of the impact of intergenerational economic support on disability risk among rural elderly in China[J]. Chinese Journal of General Practice, 2024, 22(8): 1279-1282. doi: 10.16766/j.cnki.issn.1674-4152.003616
Citation: CHEN Siwei, HUO Xinran, ZHANG Ning. Analysis of the impact of intergenerational economic support on disability risk among rural elderly in China[J]. Chinese Journal of General Practice, 2024, 22(8): 1279-1282. doi: 10.16766/j.cnki.issn.1674-4152.003616

Analysis of the impact of intergenerational economic support on disability risk among rural elderly in China

doi: 10.16766/j.cnki.issn.1674-4152.003616
Funds:

 72074159

 22SRB008

  • Received Date: 2024-03-19
    Available Online: 2024-11-19
  •   Objective  This study examines the impact of intergenerational economic support and related factors on the risk of disability among rural elderly, providing a decision-making reference for improving their health.  Methods  Using data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), we focused on rural residents aged 60 and above with at least one child. A two-stage regression model with instrumental variables was constructed to analyze the factors affecting disability in the elderly.  Results  The number of disabled elderly was 1 384, accounting for 27.53%. Significant differences were found in the distribution of disabled population among different genders, ages, and chronic disease populations (P < 0.01). Intergenerational economic support can reduce the risk of disability in the elderly people (β=-0.111, P < 0.01). The interaction effect analysis showed that the economic support received by males, older adults, and those with chronic diseases had a diminished effect on reducing the risk of disability (P < 0.01). Heterogeneity analysis results showed the effects of drinking alcohol, and having medical insurance on disability were only significant in the male sample (P < 0.05). Smoking status has a statistically significant impact only among the oldest-old groups (P < 0.05); Age, co-residence with children, number of children, and income significantly affect only the younger elderly groups (P < 0.05). Participation in medical insurance were significant only in the elderly with chronic diseases (P < 0.05), while smoking and income were significant only in the elderly people without chronic diseases (P < 0.05).  Conclusion  The government should gradually increase economic support for rural elderly, encourage rural children to provide economic support to their parents, enhance health education, and strengthen chronic disease prevention efforts to control morbidity rates.

     

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