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Social-Economic Environments and Depressive Symptoms in Community-Dwelling Adults: A Multi-Level Analysis for Two Nationwide Datasets in Taiwan

Author

Listed:
  • Susan C. Hu

    (Department of Public Health, College of Medicine, National Cheng Kung University, Tainan City 701, Taiwan)

  • Yu-Hsuan Tsai

    (Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City 701, Taiwan)

  • Der-Chiang Li

    (Department of Industrial and Information Management, National Cheng Kung University, Tainan City 701, Taiwan)

  • Wan-Chen Hsu

    (Department of Public Health, College of Medicine, National Cheng Kung University, Tainan City 701, Taiwan)

  • Nuan-Ching Huang

    (Healthy City Research Center, Innovation Headquarter, National Cheng Kung University, Tainan City 701, Taiwan)

Abstract

Most studies have focused on factors associated with depression at the individual level, and evidence on ecological models linking social-economic features with depression is rare in Taiwan. This study aimed to use multi-level analysis to explore the effects of social-economic environments on depressive symptoms among Taiwanese adults. The 2009 National Health Interview Survey (NHIS) and the Age-Friendly Environments database were linked in this study. A total of 6602 adults aged 20 years and older were included in the analysis. A Chinese version of the 10-item CESD was used as the outcome measure. Three social indicators (population density, divorce rate, and crime rate) and three economic indicators (unemployment rate, per capita disposable income, and per capita government expenditures) at the ecological level were examined. Results showed that two social environments and two economic features were significantly associated with depressive symptoms. However, the effects of these factors were different by gender and age groups. The economic environments were critical for males and young adults aged 20–44 years old, whereas the social environments were significant for females and middle-aged and older adults. Intervention efforts for depression prevention should integrate ecological approaches into the effects of social-economic environments on depressive symptoms.

Suggested Citation

  • Susan C. Hu & Yu-Hsuan Tsai & Der-Chiang Li & Wan-Chen Hsu & Nuan-Ching Huang, 2021. "Social-Economic Environments and Depressive Symptoms in Community-Dwelling Adults: A Multi-Level Analysis for Two Nationwide Datasets in Taiwan," IJERPH, MDPI, vol. 18(14), pages 1-11, July.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7487-:d:593671
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    References listed on IDEAS

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    1. Christian Dustmann & Francesco Fasani, 2016. "The Effect of Local Area Crime on Mental Health," Economic Journal, Royal Economic Society, vol. 126(593), pages 978-1017, June.
    2. Steffen Andreas Schüle & Gabriele Bolte, 2015. "Interactive and Independent Associations between the Socioeconomic and Objective Built Environment on the Neighbourhood Level and Individual Health: A Systematic Review of Multilevel Studies," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-31, April.
    3. Wilson-Genderson, Maureen & Pruchno, Rachel, 2013. "Effects of neighborhood violence and perceptions of neighborhood safety on depressive symptoms of older adults," Social Science & Medicine, Elsevier, vol. 85(C), pages 43-49.
    4. Walters, K. & Breeze, E. & Wilkinson, P. & Price, G.M. & Bulpitt, C.J. & Fletcher, A., 2004. "Local area deprivation and urban-rural differences in anxiety and depression among people older than 75 years in Britain," American Journal of Public Health, American Public Health Association, vol. 94(10), pages 1768-1774.
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