Sociodemographic dynamics and age trajectories of depressive symptoms among adults in mid- and later life: a cohort perspective

References

• Andersson, M. A. (2016). Health returns to education by family socioeconomic origins, 1980–2008: Testing the importance of gender, cohort, and age. SSM - Population Health, 2, 549–560. https://doi.org/10.1016/j.ssmph.2016.08.006
   PubMed Web of Science ®Google Scholar
• Bebbington, P. (1996). The origins of sex differences in depressive disorder: Bridging the gap. International Review of Psychiatry, 8(4), 295–332. https://doi.org/10.3109/09540269609051547
   Web of Science ®Google Scholar
• Beckett, M. (2000). Converging health inequalities in later life – An artifact of mortality selection? Journal of Health and Social Behavior, 41(1), 106–119. https://doi.org/10.2307/2676363
   PubMed Web of Science ®Google Scholar
• Case, A., & Deaton, A. (2015). Rising morbidity and mortality in midlife among White non-Hispanic Americans in the twenty-first century. Proceedings of the National Academy of Sciences, 112(49), 15078–15083. https://doi.org/10.1073/pnas.1518393112
   PubMed Web of Science ®Google Scholar
• Case, A., & Deaton, A. (2017). Mortality and morbidity in the twenty-first century. Brookings Papers on Economic Activity, 2017(1), 397–476. https://doi.org/10.1353/eca.2017.0005
   PubMedGoogle Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Cherlin, A. J. (2018). Psychological health and socioeconomic status among non-Hispanic Whites. Proceedings of the National Academy of Sciences of the United States of America, 115(28), 7176–7178. https://doi.org/10.1073/pnas.1808753115
   PubMed Web of Science ®Google Scholar
• Chui, H., Gerstorf, D., Hoppmann, C. A., & Luszcz, M. A. (2015). Trajectories of depressive symptoms in old age: Integrating age-, pathology-, and mortality-related changes. Psychology and Aging, 30(4), 940–951.
   PubMed Web of Science ®Google Scholar
• Clarke, P., Marshall, V., House, J., & Lantz, P. (2011). The social structuring of mental health over the adult life course: Advancing theory in the sociology of aging. Social Forces; a Scientific Medium of Social Study and Interpretation, 89(4), 1287–1313.
   PubMed Web of Science ®Google Scholar
• Crimmins, E., & Zhang, Y. (2019). Aging populations, mortality, and life expectancy. Annual Review of Sociology, 45(1), 69–89. https://doi.org/10.1146/annurev-soc-073117-041351
   Google Scholar
• Cullati, S. (2015). Socioeconomic inequalities in health trajectories in Switzerland: Are trajectories diverging as people age? Sociology of Health & Illness, 37(5), 745–764. https://doi.org/10.1111/1467-9566.12232
   PubMed Web of Science ®Google Scholar
• Ferrari, A. J., Charlson, F. J., Norman, R. E., Flaxman, A. D., Patten, S. B., Vos, T., & Whiteford, H. A. (2013). The epidemiological modelling of major depressive disorder: Application for the Global Burden of Disease Study 2010. PloS One, 8(7), e69637. https://doi.org/10.1371/journal.pone.0069637
   PubMed Web of Science ®Google Scholar
• Ferraro, K. F., & Farmer, M. M. (1996a). Double jeopardy to health hypothesis for African Americans: Analysis and critique. Journal of Health and Social Behavior, 37(1), 27–43. https://doi.org/10.2307/2137229
   PubMed Web of Science ®Google Scholar
• Ferraro, K. F., & Farmer, M. M. (1996b). Double jeopardy, aging as leveler, or persistent health Inequality? A longitudinal analysis of White and Black Americans. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 51(6), S319–S328. https://doi.org/10.1093/geronb/51b.6.s319
   PubMed Web of Science ®Google Scholar
• Goldman, N., Glei, D. A., & Weinstein, M. (2018). Declining mental health among disadvantaged Americans. Proceedings of the National Academy of Sciences, 115(28), 7290–7295. https://doi.org/10.1073/pnas.1722023115
   PubMed Web of Science ®Google Scholar
• Grundy, E., van den Broek, T., & Keenan, K. (2019). Number of children, partnership status, and later-life depression in Eastern and Western Europe. The Journals of Gerontology: Series B, 74(2), 353–363. https://doi.org/10.1093/geronb/gbx050
   Google Scholar
• Herd, P. (2006). Do functional health inequalities decrease in old age?: Educational status and functional decline among the 1931–1941 birth cohort. Research on Aging, 28(3), 375–392. https://doi.org/10.1177/0164027505285845
   Web of Science ®Google Scholar
• Higgs, P., & Gilleard, C. (2010). Generational conflict, consumption and the ageing welfare state in the United Kingdom. Ageing and Society, 30(8), 1439–1451. https://doi.org/10.1017/S0144686X10000425
   Web of Science ®Google Scholar
• Hopcroft, R. L., & Bradley, D. B. (2007). The sex difference in depression across 29 countries. Social Forces, 85(4), 1483–1507. https://doi.org/10.1353/sof.2007.0071
   Web of Science ®Google Scholar
• House, J. S., Lepkowski, J. M., Kinney, A. M., Mero, R. P., Kessler, R. C., & Herzog, A. R. (1994). The social stratification of aging and health. Journal of Health and Social Behavior, 35(3), 213–234.
   PubMed Web of Science ®Google Scholar
• Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: A review of twenty-seven community studies. Journal of Health and Social Behavior, 38(1), 21–37.
   PubMed Web of Science ®Google Scholar
• Inaba, A., Thoits, P. A., Ueno, K., Gove, W. R., Evenson, R. J., & Sloan, M. (2005). Depression in the United States and Japan: Gender, marital status, and SES patterns. Social Science & Medicine (1982), 61(11), 2280–2292.
   PubMed Web of Science ®Google Scholar
• James, S. L., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., Abdollahpour, I., Abdulkader, R. S., Abebe, Z., Abera, S. F., Abil, O. Z., Abraha, H. N., Abu-Raddad, L. J., Abu-Rmeileh, N. M. E., Accrombessi, M. M. K., … Murray, C. J. L. (2018). Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 392(10159), 1789–1858. https://doi.org/10.1016/S0140-6736(18)32279-7
   PubMed Web of Science ®Google Scholar
• Jeon, G.-S., Jang, S.-N., Kim, D.-S., & Cho, S.-I. (2013). Widowhood and depressive symptoms among Korean elders: The role of social ties. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 68(6), 963–973. https://doi.org/10.1093/geronb/gbt084
   PubMed Web of Science ®Google Scholar
• Kuehner, C. (2017). Why is depression more common among women than among men? The Lancet. Psychiatry, 4(2), 146–158. https://doi.org/10.1016/S2215-0366(16)30263-2
   PubMed Web of Science ®Google Scholar
• Lei, X., Sun, X., Strauss, J., Zhang, P., & Zhao, Y. (2014). Depressive symptoms and SES among the mid-aged and elderly in China: Evidence from the China Health and Retirement Longitudinal Study national baseline. Social Science & Medicine (1982), 120, 224–232.
   PubMed Web of Science ®Google Scholar
• Luppa, M., Sikorski, C., Luck, T., Ehreke, L., Konnopka, A., Wiese, B., Weyerer, S., König, H. H., & Riedel-Heller, S. G. (2012). Age- and gender-specific prevalence of depression in latest-life – Systematic review and meta-analysis. Journal of Affective Disorders, 136(3), 212–221.
   PubMed Web of Science ®Google Scholar
• Lynch, S. M. (2003). Cohort and life-course patterns in the relationship between education and health: A hierarchical approach. Demography, 40(2), 309–331. https://doi.org/10.1353/dem.2003.0016
   PubMed Web of Science ®Google Scholar
• Mirowsky, J., & Ross, C. E. (1992). Age and depression. Journal of Health and Social Behavior, 33(3), 187–205.
   PubMed Web of Science ®Google Scholar
• Mojtabai, R., & Jorm, A. F. (2015). Trends in psychological distress, depressive episodes and mental health treatment-seeking in the United States: 2001–2012. Journal of Affective Disorders, 174, 556–561. https://doi.org/10.1016/j.jad.2014.12.039
   PubMed Web of Science ®Google Scholar
• O’Rand, A. M. (1996). The precious and the precocious: Understanding cumulative disadvantage and cumulative advantage over the life course. The Gerontologist, 36(2), 230–238. https://doi.org/10.1093/geront/36.2.230
   PubMed Web of Science ®Google Scholar
• Pearlin, L. I., & Johnson, J. S. (1977). Marital status, life-strains and depression. American Sociological Review, 42(5), 704–715.
   PubMed Web of Science ®Google Scholar
• Pratt, L. A., & Brody, D. J. (2014). Depression in the U.S. household population, 2009–2012 [NCHS data brief, no. 172]. National Center for Health Statistics. https://www.cdc.gov/nchs/products/databriefs/db172.htm
   Google Scholar
• Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401. https://doi.org/10.1177/014662167700100306
   Web of Science ®Google Scholar
• Rosow, I., & Breslau, N. (1966). A Guttman health scale for the aged. Journal of Gerontology, 21(4), 556–559.
   PubMedGoogle Scholar
• Schaan, B. (2014). The interaction of family background and personal education on depressive symptoms in later life. Social Science & Medicine (1982), 102, 94–102. https://doi.org/10.1016/j.socscimed.2013.11.049
   PubMed Web of Science ®Google Scholar
• Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. Oxford University Press.
   Google Scholar
• Van Leeuwen Williams, E., Unützer, J., Lee, S., & Noël, P. H. (2009). Collaborative depression care for the old-old: Findings from the IMPACT trial. The American Journal of Geriatric Psychiatry, 17(12), 1040–1049. https://doi.org/10.1097/JGP.0b013e3181b4bf08
   PubMed Web of Science ®Google Scholar
• Vanhoutte, B. (2021). Age takes hold of us by surprise: Conceptualizing vulnerabilities in aging as the timing of adverse events. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 76(1), 152-160. https://doi.org/10.1093/geronb/gbz093
   Google Scholar
• Vo, K., Forder, P. M., Tavener, M., Rodgers, B., Banks, E., Bauman, A., & Byles, J. E. (2015). Retirement, age, gender and mental health: Findings from the 45 and Up Study. Aging & Mental Health, 19(7), 647–657. https://doi.org/10.1080/13607863.2014.962002
   PubMed Web of Science ®Google Scholar
• Weinberger, A. H., Gbedemah, M., Martinez, A. M., Nash, D., Galea, S., & Goodwin, R. D. (2018). Trends in depression prevalence in the USA from 2005 to 2015: Widening disparities in vulnerable groups. Psychological Medicine, 48(8), 1308–1315. https://doi.org/10.1017/S0033291717002781
   PubMed Web of Science ®Google Scholar
• World Health Organization. (2017). Depression and other common mental disorders: Global health estimates. World Health Organization. https://www.who.int/mental_health/management/depression/prevalence_global_health_estimates/en/
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Yang, Y., & Lee, L. C. (2010). Dynamics and heterogeneity in the process of human frailty and aging: Evidence from the U.S. older adult population The Journals of. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 65B(2), 246–255. https://doi.org/10.1093/geronb/gbp102
   PubMed Web of Science ®Google Scholar