Abrams, L. R., & Mehta, N. K. (2019). Changes in depressive symptoms over age among older Americans: Differences by gender, race/ethnicity, education, and birth cohort. SSM - Population Health, 7, 100399–100399. https://doi.org/10.1016/j.ssmph.2019.100399
Article PubMed PubMed Central Google Scholar
Agustini, B., Lotfaliany, M., Mohebbi, M., Woods, R. L., McNeil, J. J., Nelson, M. R., Shah, R. C., Murray, A. M., Reid, C. M., Tonkin, A., Ryan, J., Williams, L. J., Forbes, M. P., & Berk, M. (2022). Trajectories of depressive symptoms in older adults and associated health outcomes. Nature Aging, 2(4), 295–302. https://doi.org/10.1038/s43587-022-00203-1
Article PubMed PubMed Central Google Scholar
Braveman, P., & Barclay, C. (2009). Health disparities beginning in childhood: A life-course perspective. Pediatrics, 124(Supplement), S163–S175. https://doi.org/10.1542/peds.2009-1100D
Chen, H., & Mui, A. C. (2014). Factorial validity of the Center for Epidemiologic Studies Depression Scale short form in older population in China. International Psychogeriatrics, 26(1), 49–57. https://doi.org/10.1017/S1041610213001701
Article CAS PubMed Google Scholar
Choi, J.-K., Teshome, T., & Smith, J. (2021). Neighborhood disadvantage, childhood adversity, bullying victimization, and adolescent depression: A multiple mediational analysis. Journal of affective disorders, 279, 554–562. https://doi.org/10.1016/j.jad.2020.10.041
Ferlander, S., & Mäkinen, I. H. (2009). Social capital, gender and self-rated health Evidence from the Moscow Health Survey. Social Science & Medicine, 69(9), 1323–1332. https://doi.org/10.1016/j.socscimed.2009.08.009. (Social Science & Medicine).
Gallo, E. A. G., Munhoz, T. N., Loret de Mola, C., & Murray, J. (2018). Gender differences in the effects of childhood maltreatment on adult depression and anxiety: A systematic review and meta-analysis. Child abuse & neglect, 79, 107–114. https://doi.org/10.1016/j.chiabu.2018.01.003
Graf, G.H.-J., Biroli, P., & Belsky, D. W. (2021). Critical periods in child development and the transition to adulthood. JAMA Network Open, 4(1), e2033359–e2033359. https://doi.org/10.1001/jamanetworkopen.2020.33359
Hu, T., Zhao, X., Wu, M., Li, Z., Luo, L., Yang, C., & Yang, F. (2022). Prevalence of depression in older adults: A systematic review and meta-analysis. Psychiatry Research, 311, 114511–114511. https://doi.org/10.1016/j.psychres.2022.114511
Hughes, K., Ford, K., Bellis, M. A., Glendinning, F., Harrison, E., & Passmore, J. (2021). Health and financial costs of adverse childhood experiences in 28 European countries: A systematic review and meta-analysis. The Lancet Public health, 6(11), e848–e857. https://doi.org/10.1016/S2468-2667(21)00232-2
Article PubMed PubMed Central Google Scholar
Iob, E., Lacey, R., & Steptoe, A. (2020). The long-term association of adverse childhood experiences with C-reactive protein and hair cortisol: Cumulative risk versus dimensions of adversity. Brain, behavior, and immunity, 87, 318–328. https://doi.org/10.1016/j.bbi.2019.12.019
Article CAS PubMed Google Scholar
Jiang, W., Ji, M., Chi, X., & Sun, X. (2022). Relationship between adverse childhood experiences and mental health in Chinese adolescents: Differences among girls and boys. Children, 9(5), 689. https://doi.org/10.3390/children9050689
Article PubMed PubMed Central Google Scholar
Jung, T., & Wickrama, K. A. S. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2(1), 302–317. https://doi.org/10.1111/j.1751-9004.2007.00054.x
Kaup, A. R., Byers, A. L., Falvey, C., Simonsick, E. M., Satterfield, S., Ayonayon, H. N., Smagula, S. F., Rubin, S. M., & Yaffe, K. (2016). Trajectories of depressive symptoms in older adults and risk of dementia. JAMA Psychiatry, 73(5), 525–531. https://doi.org/10.1001/jamapsychiatry.2016.0004
Article PubMed PubMed Central Google Scholar
Kim, Y., Kim, K., Chartier, K. G., Wike, T. L., & McDonald, S. E. (2021). Adverse childhood experience patterns, major depressive disorder, and substance use disorder in older adults. Aging & Mental Health, 25(3), 484–491. https://doi.org/10.1080/13607863.2019.1693974
Klopack, E. T., Crimmins, E. M., Cole, S. W., Seeman, T. E., & Carroll, J. E. (2022). Accelerated epigenetic aging mediates link between adverse childhood experiences and depressive symptoms in older adults: Results from the Health and Retirement Study. SSM - Population Health, 17, 101071–101071. https://doi.org/10.1016/j.ssmph.2022.101071
Article PubMed PubMed Central Google Scholar
Kondo, M. C., Clougherty, J. E., Hohl, B. C., & Branas, C. C. (2021). Gender differences in impacts of place-based neighborhood greening interventions on fear of violence based on a cluster-randomized controlled trial. Journal of Urban Health, 98(6), 812–821. https://doi.org/10.1007/s11524-021-00580-9
Article PubMed PubMed Central Google Scholar
Kong, D., Lu, P., Solomon, P., & Shelley, M. (2022). Gender-based depression trajectories following heart disease onset: Significant predictors and health outcomes. Aging & Mental Health, 26(4), 754–761. https://doi.org/10.1080/13607863.2021.1891202
Kuehner, C. P. (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
Lawton, M., Brody, E., & Médecin, U. (1969). Instrumental activities of daily living (IADL). The Gerontologist, 9, 179–186.
Article CAS PubMed Google Scholar
Lee, K., & Marier, P. (2021). Aging in place with a spouse in need: Neighborhood cohesion and older adult spouses’ physical and mental health. International Journal of Aging & Human Development, 93(4), 1012–1030. https://doi.org/10.1177/0091415020974616
Li, S., Wang, S., Gao, X., Jiang, Z., Xu, H., Zhang, S., Sun, Y., Tao, F., Chen, R., & Wan, Y. (2021). Patterns of adverse childhood experiences and suicidal behaviors in adolescents: A four-province study in China. Journal of affective disorders, 285, 69–76. https://doi.org/10.1016/j.jad.2021.02.045
Li, J., Tian, L., & Ouyang, W. (2022). Exploring the relationship between neighborhood-built environment and elderly health: A research based on heterogeneity of age and gender groups in Beijing. Frontiers in Public Health, 10, 882361–882361. https://doi.org/10.3389/fpubh.2022.882361
Article PubMed PubMed Central Google Scholar
Lin, L., Cao, B., Chen, W., Li, J., Zhang, Y., & Guo, V. Y. (2022). Association of childhood threat and deprivation with depressive symptoms and the moderating role of current economic status among middle-aged and older adults in China. Social Psychiatry and Psychiatric Epidemiology, 58(8), 1227–1236. https://doi.org/10.1007/s00127-022-02384-x
Lin, S., Wu, Y., He, L., & Fang, Y. (2023). Prediction of depressive symptoms onset and long-term trajectories in home-based older adults using machine learning techniques. Aging & Mental Health, 27(1), 8–17. https://doi.org/10.1080/13607863.2022.2031868
Liu, Y., Wang, C., & Liu, Y. (2022). Association between adverse childhood experiences and later-life cardiovascular diseases among middle-aged and older Chinese adults: The mediation effect of depressive symptoms. Journal of affective disorders, 319, 277–285. https://doi.org/10.1016/j.jad.2022.09.080
Liu, T., Peng, M.-M., Wong, F. H. C., Leung, D. K. Y., Zhang, W., Wong, G. H. Y., & Lum, T. Y. S. (2023). Differential associations between depressive symptom-domains with anxiety, loneliness, and cognition in a sample of community older Chinese adults: A multiple indicators multiple causes approach. Innovation in Aging. https://doi.org/10.1093/geroni/igad075
Article PubMed PubMed Central Google Scholar
Lu, J., Xu, X., Huang, Y., Li, T., Ma, C., Xu, G., Yin, H., Xu, X., Ma, Y., Wang, L., Huang, Z., Yan, Y., Wang, B., Xiao, S., Zhou, L., Li, L., Zhang, Y., Chen, H., Zhang, T., . . . Zhang, N. (2021). Prevalence of depressive disorders and treatment in China: A cross-sectional epidemiological study. The Lancet Psychiatry, 8(11), 981-990. https://doi.org/10.1016/S2215-0366(21)00251-0
Madero-Cabib, I., Azar, A., & Guerra, J. (2022). Simultaneous employment and depressive symptom trajectories around retirement age in Chile. Aging & Mental Health, 26(6), 1143–1152. https://doi.org/10.1080/13607863.2021.1929065
McKibbin, G., & Humphreys, C. (2020). Future directions in child sexual abuse prevention: An Australian perspective. Child abuse & neglect, 105, 104422–104428. https://doi.org/10.1016/j.chiabu.2020.104422
Mu, Y., & Zheng, Z. (2022). Multimorbidity patterns, social networks, and depression among chinese older women. Current Psychology, 1–9. https://doi.org/10.1007/s12144-022-04122-7
Musliner, K. L., Munk-Olsen, T., Eaton, W. W., & Zandi, P. P. (2016). Heterogeneity in long-term trajectories of depressive symptoms: Patterns, predictors and outcomes. Journal of affective disorders, 192, 199–211. https://doi.org/10.1016/j.jad.2015.12.030
Muthén, L. K., & Muthén, B. O. (2015). Mplus Statistical Analysis with Latent Variables: User’s Guide. Muthén & Muthén.
Nurius, P. S., Green, S., Logan-Greene, P., & Borja, S. (2015). Life course pathways of adverse childhood experiences toward adult psychological well-being: A stress process analysis. Child Abuse & Neglect, 45, 143–153. https://doi.org/10.1016/j.chiabu.2015.03.008
Padilla Paredes, P., & Calvete, E. (2014). Cognitive vulnerabilities as mediators between emotional abuse and depressive symptoms. Journal of Abnormal Child Psychology, 42(5), 743–753. https://doi.org/10.1007/s10802-013-9828-7
Peng, Y. (2022). Multidimensional relative poverty of rural women: Measurement, dynamics, and influencing factors in China. Frontiers in Psychology, 13, 1024760–1024760. https://doi.org/10.3389/fpsyg.2022.1024760
Article PubMed PubMed Central Google Scholar
Qing, S. (2020). Gender role attitudes and male-female income differences in China. The Journal of Chinese Sociology, 7(1), 1–23. https://doi.org/10.1186/s40711-020-00123-w
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