Literature DB >> 30012123

Financial transfers from adult children and depressive symptoms among mid-aged and elderly residents in China - evidence from the China health and retirement longitudinal study.

Yue Wu1, Wanyue Dong2, Yongjian Xu1, Xiaojing Fan2, Min Su1, Jianmin Gao3, Zhongliang Zhou1, Louis Niessen4, Yiyang Wang5, Xiao Wang5.   

Abstract

BACKGROUND: Although the awareness of mental health problems in late life is rising, the association between financial transfers to the older generations from children and mental health at older ages in China has received little attention. This study examines the association between financial transfers from children and depressive symptoms among the mid-aged and elderly residents (from 45 years of age and older) in China.
METHODS: We used the data from the China Health and Retirement Longitudinal Study (CHARLS, 2013) (n = 10,935) This included data on financial transfers from all non-co-resident children to their parents, and the individual scores on depressive symptoms as measured by the 10-item Center for Epidemiologic Studies-Depression Scale (CESD-10). A two-level - individual and community levels - mixed linear model was deployed to explore their association.
RESULTS: Financial transfers from children to parents was the major component of inter-generational financial transfers in Chinese families. A higher financial support from non-co-resident children was signivicantly and positively related to fewer depressive symptoms (coef. = - 0.195,P-value< 0.001) among both the mid-aged and elderly parents.
CONCLUSIONS: Financial transfers from non-co-resident children are associated with depressive symptoms among mid-aged and elderly residents in the China situation. Taxation and other policy measures should encourage and facilitate these type of financial transfers and prevent a decrease of support from children to parents.

Entities:  

Keywords:  CHARLS; China; Depressive symptoms; Inter-generational transfer; Mid-aged and elderly residents; Multilevel model

Mesh:

Year:  2018        PMID: 30012123      PMCID: PMC6048803          DOI: 10.1186/s12889-018-5794-x

Source DB:  PubMed          Journal:  BMC Public Health        ISSN: 1471-2458            Impact factor:   3.295


  25 in total

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