2,047
Views
3
CrossRef citations to date
0
Altmetric
General

Understanding the longitudinal dynamics of rural–urban mental health disparities in later life in China

ORCID Icon, ORCID Icon & ORCID Icon
Pages 1419-1428 | Received 30 Nov 2021, Accepted 27 Jun 2022, Published online: 13 Jul 2022

References

  • Bell, A. (2014). Life-course and cohort trajectories of mental health in the UK, 1991–2008 – a multilevel age–period–cohort analysis. Social Science & Medicine (1982), 120, 21–30. https://doi.org/10.1016/j.socscimed.2014.09.008
  • Chen, F., Yang, Y., & Liu, G. (2010). Social change and socioeconomic disparities in health over the life course in China: A cohort analysis. American Sociological Review, 75(1), 126–150. https://doi.org/10.1177/0003122409359165
  • Cheng, S.-T., & Chan, A. C. M. (2005). The Center for Epidemiologic Studies Depression Scale in older Chinese: Thresholds for long and short forms. International journal of geriatric psychiatry, 20(5), 465–470. https://doi.org/10.1002/gps.1314
  • Cheng, Y., Gao, S., Li, S., Zhang, Y., & Rosenberg, M. (2019). Understanding the spatial disparities and vulnerability of population aging in China. Asia & the Pacific Policy Studies, 6(1), 73–89. https://doi.org/10.1002/app5.267
  • Dannefer, D. (2003). Cumulative advantage/disadvantage and the life course: Cross-fertilizing age and social science theory. Journal of Gerontology B: Psychology Society, 58(6), S327-S337. https://doi.org/10.1093/geronb/58.6.S327
  • Elder, G. H. (1985). Life Course Dynamics: Trajectories and Transitions, 1968-1980. edited by Social Science Research Council (U.S.). Ithaca, NY: Cornell University Press.
  • Ferraro, K. F., Shippee, T. P., & Schafer, M. H. (2009). Cumulative inequality theory for research on aging and the life course. in Handbook of theories of aging (pp. 413–433), 2nd ed. New York, NY: Springer Publishing Company.
  • Grundy, E., & Read, S. (2015). Pathways from fertility history to later life health: Results from analyses of the English longitudinal study of ageing. Demographic Research, 32, 107–146. https://doi.org/10.4054/DemRes.2015.32.4
  • Hu, H., Cao, Q., Shi, Z., Lin, W., Jiang, H., & Hou, Y. (2018). Social support and depressive symptom disparity between urban and rural older adults in China. Journal of affective disorders, 237, 104–111. https://doi.org/10.1016/j.jad.2018.04.076
  • Hu, Y., Li, P., & Martikainen, P. (2019). Rural–urban disparities in age trajectories of depression caseness in later life: ‘The China Health and Retirement Longitudinal Study’ edited by E. van Exel. PLOS One, 14(4), e0215907. https://doi.org/10.1371/journal.pone.0215907
  • Jones-Smith, J. C., & Popkin, B. M. (2010). Understanding community context and adult health changes in China: Development of an Urbanicity Scale. Social Science & Medicine, 71(8), 1436–1446. https://doi.org/10.1016/j.socscimed.2010.07.027
  • Klitzman, Susan, Matte, Thomas D., Kass, Daniel E., Cities and the Health of the Public, The urban physical environment and its effects on health, Freudenberg, Nicholas, Galea, Sandro, Vlahov, David (Eds.), Nashville, TN: Vanderbilt University Press, 2006, 61-84,
  • Li, L. W., Liu, J., Xu, H., & Zhang, Z. (2016). Understanding rural–urban differences in depressive symptoms among older adults in China. Journal of aging and health, 28(2), 341–362. https://doi.org/10.1177/0898264315591003
  • Li, L. W., Liu, J., Zhang, Z., & Xu, H. (2015). Late-life depression in rural china: do village infrastructure and availability of community resources matter?: Late-life depression in rural China. International journal of geriatric psychiatry, 30(7), 729–736. https://doi.org/10.1002/gps.4217
  • Lin, Y., de Meulder, B., & Wang, S. (2011). Understanding the “village in the city” in Guangzhou: Economic integration and development issue and their implications for the urban migrant. Urban Studies, 48(16), 3583–3598. https://doi.org/10.1177/0042098010396239
  • Liu, L. (2020). Rural–urban disparities in cardiovascular disease mortality among middle-age men in China. Asia Pacific Journal of Public Health, 32(8), 436–439. https://doi.org/10.1177/1010539520956446
  • Li, Z., Yu, S., Han, X., Liu, J., & Yao, H. (2020). Changes to cardiovascular risk factors over 7 years: A prospective cohort study of in situ urbanised residents in the Chaoyang District of Beijing. BMJ Open, 10(3), e033548. https://doi.org/10.1136/bmjopen-2019-033548
  • Li, T., & Zhang, Y. (2014). Growth curve trajectories of elderly people’s health indicators in China: Cohort variations and rural–urban disparities. Population Research, 38(2), 18–35.
  • Lu, Y., & Qin, L. (2014). Healthy migrant and salmon bias hypotheses: A study of health and internal migration in China. Social Science & Medicine (1982), 102, 41–48. https://doi.org/10.1016/j.socscimed.2013.11.040
  • Luo, L., & Hodges, J. S. (2016). Block constraints in age–period–cohort models with unequal-width intervals. Sociological Methods & Research, 45(4), 700–726. https://doi.org/10.1177/0049124115585359
  • Ma, L. J. C. (2002). Urban transformation in China, 1949–2000: A review and research agenda. Environment and Planning A: Economy and Space, 34(9), 1545–1569. https://doi.org/10.1068/a34192
  • Mao, Z., & Wu, B. (2007). Urban–rural, age and gender differences in health behaviours in the Chinese population: Findings from a survey in Hubei, China. Public health, 121(10), 761–764. https://doi.org/10.1016/j.puhe.2007.02.015
  • Mirowsky, J., & Kim, J. (2007). Graphing age trajectories: Vector graphs, synthetic and virtual cohort projections, and virtual cohort projections, and cross-sectional profiles of depression. Sociological Methods & Research, 35(4), 497–541. https://doi.org/10.1177/0049124106296015
  • O’Rand, A. M. (1996). The precious and the precocious: Understanding cumulative disadvantage and cumulative advantage over the life course. Gerontologist, 36(2), 230–238. https://doi.org/10.1093/geront/36.2.230
  • O’Rand, A., & Henretta, J. C. (1999). Age And Inequality: Diverse Pathways Through Later Life. Boulder, CO: Westview Press.
  • Ryder, N. B. (1965). The cohort as a concept in the study of social change. American Sociological Review, 30(6), 843–861. https://doi.org/10.2307/2090964
  • Song, Q., & Smith, J. P. (2019). Hukou system, mechanisms, and health stratification across the life course in rural and urban China. Health & Place, 58, 102–150. https://doi.org/10.1016/j.healthplace.2019.102150
  • Treiman, D. J. (2012). The “difference between heaven and Earth”: Urban–rural disparities in well-Being in China. Research in Social Stratification and Mobility, 30(1), 33–47. https://doi.org/10.1016/j.rssm.2011.10.001
  • Wang, Y., Chen, Y.-C., Shen, H.-W., & Morrow-Howell, N. (2018). Neighborhood and depressive symptoms: A comparison of rural and urban chinese older adults. The Gerontologist, 58(1), 68–78. https://doi.org/10.1093/geront/gnx063
  • Wang, H., & Stokes, J. E. (2020). Trajectories of rural–urban disparities in biological risks for cardiovascular disease among Chinese middle-aged and older adults. Health & Place, 64, 102354. https://doi.org/10.1016/j.healthplace.2020.102354
  • Xu, H. (2019). Physical and mental health of Chinese grandparents caring for grandchildren and great-grandparents. Social science & medicine (1982), 229, 106–116. https://doi.org/10.1016/j.socscimed.2018.05.047
  • Xu, H., Dupre, M. E., Gu, D., & Wu, B. (2017). The impact of residential status on cognitive decline among older adults in China: Results from a longitudinal study. BMC geriatrics, 17(1), 107. https://doi.org/10.1186/s12877-017-0501-9
  • Yang, Y. (2008). Social inequalities in happiness in the United States, 1972 to 2004: An age-period-cohort analysis. American Sociological Review, 73(2), 204–226. https://doi.org/10.1177/000312240807300202
  • Yang, Y., & Lee, L. C. (2009). Sex and race disparities in health: Cohort variations in life course patterns. Social Forces, 87(4), 2093–2124. https://doi.org/10.1353/sof.0.0183
  • Yu, X., & Zhang, W. (2020). All-cause mortality rate in China: Do residents in economically developed regions have better health?’ International Journal for Equity in Health, 19(1), 12. https://doi.org/10.1186/s12939-020-1128-6
  • Zeng, Y. (2008). Introduction to the Chinese Longitudinal Healthy Longevity Survey (CLHLS). In. Healthy longevity in China: Demographic, socioeconomic, and psychological dimensions, demographic methods and population analysis (pp. 23–38), Y. Zeng, D. L. Poston, D. A. Vlosky, & D. Gu (Eds.), Dordrecht, Netherlands: Springer Netherlands.
  • Zhang, T., Chiu, R. L. H., & Ho, H. C. (2019). Suburban neighborhood environments and depression: A Case Study of Guangzhou, China. Journal of Transport & Health, 15, 100624. https://doi.org/10.1016/j.jth.2019.100624
  • Zhang, L., Xu, Y., Nie, H., Zhang, Y., & Wu, Y. (2012). The prevalence of depressive symptoms among the older in China: A meta-analysis. International journal of geriatric psychiatry, 27(9), 900–906. https://doi.org/10.1002/gps.2821
  • Zhao, Y., Strauss, J., Chen, X., Wang, Y., Gong, J., Meng, Q., Wang, G., & Wang, H. (2020). China health and retirement longitudinal study wave 4 user’s guide. Beijing, China: National School of Development, Peking University.
  • Zhu, Y. (2017). In situ urbanization in China: Processes, contributing factors, and policy implications. China Population and Development Studies, 1(1), 45–66. https://doi.org/10.1007/BF03500917
  • Zimmer, Z., Wen, M., & Kaneda, T. (2010). A multi-level analysis of urban/rural and socioeconomic differences in functional health status transition among Older Chinese. Social science & medicine (1982), 71(3), 559–567. https://doi.org/10.1016/j.socscimed.2010.03.048