AI Article Synopsis
- - The study focused on elderly migrants in Nanjing, China, to identify types of intergenerational relationships, factors influencing these relationships, and their impact on the psychological well-being of the elderly migrants.
- - Data from 654 participants revealed three categorized intergenerational relationships, with factors like gender, marital status, and income affecting these types.
- - Findings indicated that a closer intergenerational relationship is linked to better mental health, highlighting the importance of family connections for elderly migrants' well-being.
Article Abstract
Objective: This study aimed to identify (1) different types of intergenerational relationships among the elderly migrants, (2) factors influencing each type of relationship, and (3) the types significantly associated with psychological well-being of the elderly migrants.
Methods: Data were collected from 654 elderly migrants in Nanjing, China. Incorporating ten solidarity conflict indicators, the latent class analysis (LCA) was performed to classify intergenerational relationships. Logistic regression were used to analyze influencing factors, and ordinary least squares (OLS) regression was used to analyze the relationship of each type of intergenerational relationship with depression and life satisfaction.
Results: Three types of intergenerational relationships were classified: (65%), (25%), (10%). Gender, marital status, education level, annual income, subjective health, number of children and parentage were influencing factors for the three types. The type predicted a healthy mental status.
Discussion: Three intergenerational relationships exist between elderly migrants and their children in Nanjing, China. A closer relationship predicts a better mental health in the elderly migrants.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120831 | PMC |
| http://dx.doi.org/10.2147/PRBM.S404869 | DOI Listing |
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