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Association of the intergenerational structure with the onset of depressive symptoms among middle-aged and older adults in China

Author

Listed:
  • Jun Ma
  • Wenwen Liu
  • Yangfan Chai
  • Jiayu Wang
  • Guilan Kong

Abstract

Background: Chinese family structure has undergone tremendous changes over the past few decades. Moreover, the association of the intergenerational structure with depression remains controversial. Aims: This study aimed to find out the association of the intergenerational structure and the onset of depressive symptoms among Chinese middle-aged and older adults. Methods: This study included 4,868 participants of the China Health and Retirement Longitudinal Study (CHARLS), who were enrolled in 2011 without depressive symptoms and followed up at least once later in 2013, 2015, 2018, and 2020. Taking the time-varying confounding effect into account, the time-dependent Cox regression models were used to estimate the association of the intergenerational structure and the onset of depressive symptoms. Results: Among the studied middle-aged and older adults, compared to one-generation households, higher hazard ratios (HR) of developing depressive symptoms were found in three-generation households in the study population (HR = 1.21, 95% CI [1.08, 1.36]). Further, for female participants, skipping-generation households (HR = 1.38, 95% CI [1.05, 1.83]) and three-generation lineal households (HR = 1.21, 95% CI [1.02, 1.43]) were found to be significantly associated with new-onset depressive symptoms compared to empty-nest couples. For male participants, living alone (HR = 1.65, 95% CI [1.30, 2.11]), living in standardized nuclear households (HR = 1.27, 95% CI [1.06, 1.54]), impaired nuclear households (HR = 1.80, 95% CI [1.18, 2.76]), or three-generation lineal households (HR = 1.34, 95% CI [1.12, 1.60]) were found to have a significant association with the onset of depressive symptoms. Conclusions: This study found that males living alone, with unmarried children, or in three-generation lineal households, and females living with grandchildren were more likely to suffer from depressive symptoms. Therefore, special attention should be paid to people in these intergenerational structure subtypes.

Suggested Citation

  • Jun Ma & Wenwen Liu & Yangfan Chai & Jiayu Wang & Guilan Kong, 2024. "Association of the intergenerational structure with the onset of depressive symptoms among middle-aged and older adults in China," International Journal of Social Psychiatry, , vol. 70(6), pages 1083-1092, September.
  • Handle: RePEc:sae:socpsy:v:70:y:2024:i:6:p:1083-1092
    DOI: 10.1177/00207640241255587
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    References listed on IDEAS

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    1. Merril Silverstein & Zhen Cong & Shuzhuo Li, 2006. "Intergenerational Transfers and Living Arrangements of Older People in Rural China: Consequences for Psychological Well-Being," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(5), pages 256-266.
    2. Michelle Maroto, 2019. "Sharing or Limiting the Wealth? Coresidence, Parental Support, and Wealth Outcomes in Canada," Journal of Family and Economic Issues, Springer, vol. 40(1), pages 102-116, March.
    3. Meimei Wang & Yongchun Yang & Mengqin Liu & Huailiang Yu, 2021. "Intergenerational Factors Influencing Household Cohabitation in Urban China: Chengdu," IJERPH, MDPI, vol. 18(8), pages 1-14, April.
    4. Ting Li & Wenting Fan & Jian Song, 2020. "The Household Structure Transition in China: 1982–2015," Demography, Springer;Population Association of America (PAA), vol. 57(4), pages 1369-1391, August.
    5. Chee‐Ruey Hsieh & Xuezheng Qin, 2018. "Depression hurts, depression costs: The medical spending attributable to depression and depressive symptoms in China," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 525-544, March.
    6. Haixia Liu & Xiaojing Fan & Huanyuan Luo & Zhongliang Zhou & Chi Shen & Naibao Hu & Xiangming Zhai, 2021. "Comparison of Depressive Symptoms and Its Influencing Factors among the Elderly in Urban and Rural Areas: Evidence from the China Health and Retirement Longitudinal Study (CHARLS)," IJERPH, MDPI, vol. 18(8), pages 1-18, April.
    7. Kira S. Birditt & Lauren A. Tighe & Karen L. Fingerman & Steven H. Zarit, 2012. "Intergenerational Relationship Quality Across Three Generations," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 67(5), pages 627-638.
    8. Giorgio Di Gessa & Karen Glaser & Anthea Tinker, 2016. "The Health Impact of Intensive and Nonintensive Grandchild Care in Europe: New Evidence From SHARE," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 71(5), pages 867-879.
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