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Articles

Gender differences in the association of polygenic risk and divergent depression trajectories from mid to late life: a national longitudinal study

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References

  • Abrams, L. R., and N. K. Mehta. 2019. Changes in depressive symptoms over age among older Americans: Differences by gender, race/ethnicity, education, and birth cohort. SSM - Population Health 7 (April):100399. doi:10.1016/j.ssmph.2019.100399.
  • Arias, E. 2021. Provisional life expectancy estimates for January through June, 2020. Hyattsville, MD: Centersfor Disease Control and Prevention. doi:10.15620/cdc:100392.
  • Aslund, C., J. Leppert, E. Comasco, N. Nordquist, L. Oreland, and K. W. Nilsson. 2009. Impact of the interaction between the 5HTTLPR polymorphism and maltreatment on adolescent depression. A population-based study. Behavior Genetics 39 (5):524–31. doi:10.1007/s10519-009-9285-9.
  • Assari, S., S. Cobb, M. Saqib, and M. Bazargan. 2020. Economic strain deteriorates while education fails to protect black older adults against depressive symptoms, pain, self-rated health, chronic disease, and sick days. Journal of Mental Health & Clinical Psychology 4 (2):49–62. doi:10.29245/2578-2959/2020/2.1203.
  • Blazer, D. G. 2003. Depression in late life: Review and commentary. The Journals of Gerontology Series A, Biological Sciences and Medical Sciences 58 (3):249–65. doi:10.1093/gerona/58.3.m249.
  • Border, R., E. C. Johnson, L. M. Evans, A. Smolen, N. Berley, P. F. Sullivan, and M. C. Keller. 2019. No support for historical candidate gene or candidate gene-by-interaction hypotheses for major depression across multiple large samples. The American Journal of Psychiatry 176 (5):376–87. doi:10.1176/appi.ajp.2018.18070881.
  • Broadhead, W. E., D. G. Blazer, L. K. George, and C. K. Tse. 1990. Depression, disability days, and days lost from work in a prospective epidemiologic survey. Journal of the American Medical Association 264 (19):2524–28. doi:10.1001/jama.1990.03450190056028.
  • Bromet, E., L. Helena Andrade, I. Hwang, N. A. Sampson, J. Alonso, G. de Girolamo, R. de Graaf, K. Demyttenaere, C. Hu, N. Iwata, et al. 2011. Cross-national epidemiology of DSM-IV major depressive episode. BMC Medicine 9 (1):90. doi:10.1186/1741-7015-9-90.
  • Cacioppo, J. T., and S. Cacioppo. 2014. Social relationships and health: The toxic effects of perceived social isolation. Social and Personality Psychology Compass 8 (2):58–72. doi:10.1111/spc3.12087.
  • Cacioppo, J. T., and W. Patrick. 2009. Loneliness: Human nature and the need for social connection. New York, NY: W. W. Norton Company. Reprint.
  • Center for Behavioral Health Statistics and Quality. 2014. 2013 national survey on drug use and health: mental health detailed tables. Rockville, MD: Substance Abuse and Mental Health Services Administration.
  • Chang, S.C., M. Maria Glymour, S. Walter, L. Liang, K. C. Koenen, E. J. Tchetgen, M. C. Cornelis, I. Kawachi, E. Rimm, and L. D. Kubzansky. 2014. Genome-wide polygenic scoring for a 14-year long-term average depression phenotype. Brain and Behavior 4 (2):298–311. doi:10.1002/brb3.205.
  • Chen, P. November 2021. Inner child of the past: Long-term protective role of childhood relationships with mothers and fathers and maternal support for mental health in middle and late adulthood. Social Psychiatry and Psychiatric Epidemiology 57 (7):1399–416. doi: 10.1007/s00127-021-02200-y.
  • Chen, P., and K. Mullan Harris. October 2019. Association of positive family relationships with mental health trajectories from adolescence to midlife. JAMA Pediatrics 173 (12):e193336. doi: 10.1001/jamapediatrics.2019.3336.
  • Comstock, G. W., and K. Helsing. 1977. Symptoms of depression in two communities. Psychological Medicine 6 (4):551–63. doi:10.1017/S0033291700018171.
  • Curran, P. J., and K. A. Bollen. 2001. The best of both worlds: Combining autoregressive and latent curve models. In New methods for the analysis of change, ed. L. Collins and A. Sayer, 107–35. Washington, DC: American Psychological Association.
  • Das, A. 2019. Genes, depressive symptoms, and chronic stressors: A nationally representative longitudinal study in the United States. Social Science & Medicine 242 (December):112586. doi:10.1016/j.socscimed.2019.112586.
  • Domingue, B. W., D. W. Belsky, A. Harrati, D. Conley, D. R. Weir, and J. D. Boardman. 2017. Mortality selection in a genetic sample and implications for association studies. International Journal of Epidemiology 46 (4):1285–94. doi:10.1093/ije/dyx041.
  • Duncan, S. C., T. E. Duncan, and H. Hops. 1996. Analysis of longitudinal data within accelerated longitudinal designs. Psychological Methods 1 (3):236–48. doi:10.1037/1082-989X.1.3.236.
  • Eley, T. C., K. Sugden, A. Corsico, A. M. Gregory, P. Sham, P. McGuffin, R. Plomin, and I. W. Craig. 2004. Gene-environment interaction analysis of serotonin system markers with adolescent depression. Molecular Psychiatry 9 (10):908–15. doi:10.1038/sj.mp.4001546.
  • Euesden, J., C. M. Lewis, and P. F. O’reilly. 2015. Prsice: Polygenic risk score software. Bioinformatics 31 (9):1466–68. doi:10.1093/bioinformatics/btu848.
  • Faraone, S. V., M. J. Lyons, and M. T. Tsuang. 1987. Sex differences in affective disorder: Genetic transmission. Genetic Epidemiology 4 (5):331–43. doi:10.1002/gepi.1370040503.
  • Fisher, G. G., and L. H. Ryan. 2018. Overview of the health and retirement study and introduction to the special issue. Work, Aging and Retirement 4 (1):1–9. doi:10.1093/workar/wax032.
  • Fiske, A., J. Loebach Wetherell, and M. Gatz. 2009. Depression in older adults. Annual Review of Clinical Psychology 5 (1):363–89. doi:10.1146/annurev.clinpsy.032408.153621.
  • Flaherty, J., and J. Richman. 1989. Gender differences in the perception and utilization of social support: Theoretical perspectives and an empirical test. Social Science & Medicine 28 (12):1221–28. doi:10.1016/0277-9536(89)90340-7.
  • Flint, J., and K. S. Kendler. 2014. The genetics of major depression. Neuron 81 (3):484–503. doi:10.1016/j.neuron.2014.01.027.
  • Freund, A. M., and J. O. Ritter. 2009. Midlife crisis: A debate. Gerontology 55 (5):582–91. doi:10.1159/000227322.
  • Gilman, S. E. 2007. Invited commentary: The life course epidemiology of depression. American Journal of Epidemiology 166 (10):1134–37. doi:10.1093/aje/kwm251.
  • Goodwin, R. D., and I. H. Gotlib. 2004. Gender differences in depression: The role of personality factors. Psychiatry Research 126 (2):135–42. doi:10.1016/j.psychres.2003.12.024.
  • Halfon, N., K. Larson, L. Michael, E. Tullis, and S. Russ. 2014. Life course health development: Past, present and future. Maternal and Child Health Journal 18 (2):344–65. doi:10.1007/s10995-013-1346-2.
  • Hall, L. S., M. J. Adams, A. Arnau-Soler, T.K. Clarke, D. M. Howard, Y. Zeng, G. Davies, S. P. Hagenaars, A. Maria Fernandez-Pujals, J. Gibson, et al. 2018. Genome-wide meta-analyses of stratified depression in generation Scotland and UK Biobank. Translational Psychiatry 8 (1):9. doi:10.1038/s41398-017-0034-1.
  • Halldorsdottir, T., C. Piechaczek, A. P. S. de Matos, D. Czamara, V. Pehl, P. Wagenbuechler, L. Feldmann, P. Quickenstedt-Reinhardt, A. K. Allgaier, F. J. Freisleder, et al. 2019. Polygenic risk: Predicting depression outcomes in clinical and epidemiological cohorts of youths. The American Journal of Psychiatry 176 (8):615–25. doi:10.1176/appi.ajp.2019.18091014.
  • Hasin, D. S., R. D. Goodwin, F. S. Stinson, and B. F. Grant. 2005. Epidemiology of major depressive disorder: Results from the national epidemiologic survey on alcoholism and related conditions. Archives of General Psychiatry 62 (10):1097–106. doi:10.1001/archpsyc.62.10.1097.
  • Herd, P., J. Freese, K. Sicinski, B. W. Domingue, K. Mullan Harris, C. Wei, and R. M. Hauser. 2019. Genes, gender inequality, and educational attainment. American Sociological Review 84 (6):1069–98. doi:10.1177/0003122419886550.
  • Howard, D. M., M. J. Adams, T.K. Clarke, J. D. Hafferty, J. Gibson, M. Shirali, J. R. I. Coleman, S. P. Hagenaars, J. Ward, E. M. Wigmore, et al. 2019. Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nature Neuroscience 22 (3):343–52. doi:10.1038/s41593-018-0326-7.
  • HRS. 2012. CIDR Health retirement study imputation report - 1000 genomes project reference panel: Summary and recommendations for DbGaP users. University of Michigan, Ann Arbor.
  • HRS. February 2021. 2020 HRS COVID-19 project | health and retirement study. https://hrsdata.isr.umich.edu/data-products/2020-hrs-covid-19-project.
  • Hyde, C. L., M. W. Nagle, C. Tian, X. Chen, S. A. Paciga, J. R. Wendland, J. Y. Tung, D. A. Hinds, R. H. Perlis, and A. R. Winslow. 2016. Identification of 15 genetic loci associated with risk of major depression in individuals of European descent. Nature Genetics 48 (9):1031–36. doi:10.1038/ng.3623.
  • Jacobson, K. C., and D. C. Rowe. 1999. Genetic and environmental influences on the relationships between family connectedness, school connectedness, and adolescent depressed mood: Sex differences. Developmental Psychology 35 (4):926–39. doi:10.1037/0012-1649.35.4.926.
  • Jansson, M., M. Gatz, S. Berg, B. Johansson, B. Malmberg, G. E. McClearn, M. Schalling, and N. L. Pedersen. 2004. Gender differences in heritability of depressive symptoms in the elderly. Psychological Medicine 34 (3):471–79. doi:10.1017/s0033291703001375.
  • Juster, F. T., and R. Suzman. 1995. An overview of the health and retirement study. The Journal of Human Resources 30:S7. doi:10.2307/146277.
  • Karim, J., R. Weisz, Z. Bibi, and S. Rehman. 2015. Validation of the Eight-Item Center for Epidemiologic Studies Depression Scale (CES-D) among older adults. Current Psychology 34 (4):681–92. doi:10.1007/s12144-014-9281-y.
  • Kaup, A. R., A. L. Byers, C. Falvey, E. M. Simonsick, S. Satterfield, H. N. Ayonayon, S. F. Smagula, S. M. Rubin, and K. Yaffe. 2016. Trajectories of depressive symptoms in older adults and risk of dementia. JAMA Psychiatry 73 (5):525–31. doi:10.1001/jamapsychiatry.2016.0004.
  • Kendall, K. M., E. Van Assche, T. F. M. Andlauer, K. W. Choi, J. J. Luykx, E. C. Schulte, and Y. Lu. 2021. The genetic basis of major depression. Psychological Medicine 51 (13):2217–30. doi:10.1017/S0033291721000441.
  • Kendler, K. S., M. Gatz, C. O. Gardner, and N. L. Pedersen. 2006. A Swedish national twin study of lifetime major depression. The American Journal of Psychiatry 163 (1):109–14. doi:10.1176/appi.ajp.163.1.109.
  • Kendler, K. S., H. Ohlsson, P. Lichtenstein, J. Sundquist, and K. Sundquist. 2018. The genetic epidemiology of treated major depression in Sweden. The American Journal of Psychiatry 175 (11):1137–44. doi:10.1176/appi.ajp.2018.17111251.
  • Kessler, R. C. 2003. Epidemiology of women and depression. Journal of Affective Disorders 74 (1):5–13. doi:10.1016/s0165-0327(02)00426-3.
  • Kessler, R. C., H. Birnbaum, E. Bromet, I. Hwang, N. Sampson, and V. Shahly. 2010. Age differences in major depression: Results from the national comorbidity survey replication (NCS-R). Psychological Medicine 40 (2):225–37. doi:10.1017/S0033291709990213.
  • Kessler, R. C., K. A. McGonagle, M. Swartz, D. G. Blazer, and C. B. Nelson. 1993. Sex and depression in the national comorbidity survey. I: Lifetime prevalence, chronicity and recurrence. Journal of Affective Disorders 29 (2–3):85–96. doi:10.1016/0165-0327(93)90026-g.
  • Kiely, K. M., B. Brady, and J. Byles. 2019. Gender, mental health and ageing. Maturitas 129 (November):76–84. doi:10.1016/j.maturitas.2019.09.004.
  • Kim, J., K. Song, and A. R. Sutin. 2021. Gender differences in the relationship between perceived discrimination and personality traits in young adulthood: evidence using sibling fixed effects. Social Science & Medicine 286 (October):114329. doi:10.1016/j.socscimed.2021.114329.
  • Kohli, M. A., S. Lucae, P. G. Saemann, M. V. Schmidt, A. Demirkan, K. Hek, D. Czamara, M. Alexandar, D. Salyakina, S. Ripke, et al. 2011. The neuronal transporter gene slc6a15 confers risk to major depression. Neuron 70 (2):252–65. doi:10.1016/j.neuron.2011.04.005.
  • Kuh, D., Y. Ben-Shlomo, J. Lynch, J. Hallqvist, and C. Power. 2003. Life course epidemiology. Journal of Epidemiology and Community Health 57 (10):778–83. doi:10.1136/jech.57.10.778.
  • Kwong, A. S. F., J. A. López-López, G. Hammerton, D. Manley, N. J. Timpson, G. Leckie, and R. M. Pearson. 2019. Genetic and environmental risk factors associated with trajectories of depression symptoms from adolescence to young adulthood. JAMA Network Open 2 (6):e196587. doi:10.1001/jamanetworkopen.2019.6587.
  • Lee, Y., and A. Bierman. 2018. A longitudinal assessment of perceived discrimination and maladaptive expressions of anger among older adults: does subjective social power buffer the association? The Journals of Gerontology Series B, Psychological Sciences and Social Sciences 73 (8):e120–30. doi:10.1093/geronb/gbw110.
  • Levey, D. F., M. B. Stein, F. R. Wendt, G. A. Pathak, H. Zhou, M. Aslan, R. Quaden, K. M. Harrington, G. Sanacora, A. M. McIntosh. On behalf of the Million Veteran Program. May 2020. GWAS of depression phenotypes in the million veteran program and meta-analysis in more than 1.2 million participants yields 178 independent risk loci. MedRxiv. doi:10.1101/2020.05.18.20100685.
  • Levine, M. E., E. M. Crimmins, C. A. Prescott, D. Phillips, T. E. Arpawong, and J. Lee. 2014. A polygenic risk score associated with measures of depressive symptoms among older adults. Biodemography and Social Biology 60 (2):199–211. doi:10.1080/19485565.2014.952705.
  • Liu, H., and G. Guo. 2015. Lifetime socioeconomic status, historical context, and genetic inheritance in shaping body mass in middle and late adulthood. American Sociological Review 80 (4):705–37. doi:10.1177/0003122415590627.
  • Malhi, G. S., and J. John Mann. 2018. Depression. The Lancet 392 (10161):2299–312. doi:10.1016/S0140-6736(18)31948-2.
  • Martin, A. R., C. R. Gignoux, R. K. Walters, G. L. Wojcik, B. M. Neale, S. Gravel, M. J. Daly, C. D. Bustamante, and E. E. Kenny. 2017. human demographic history impacts genetic risk prediction across diverse populations. American Journal of Human Genetics 100 (4):635–49. doi:10.1016/j.ajhg.2017.03.004.
  • Masters, R. K., A. M. Tilstra, and D. H. Simon. 2018. Explaining recent mortality trends among younger and middle-aged white Americans. International Journal of Epidemiology 47 (1):81–88. doi:10.1093/ije/dyx127.
  • McArdle, J. J., and F. Hamagami. 1992. Modeling incomplete longitudinal and cross-sectional data using latent growth structural models. Experimental Aging Research 18 (3–4):145–66. doi:10.1080/03610739208253917.
  • McCaffery, J. M., G. D. Papandonatos, C. Stanton, E. E. Lloyd-Richardson, and R. Niaura. 2008. Depressive symptoms and cigarette smoking in twins from the national longitudinal study of adolescent health. Health Psychology 27 (3S):S207–15. doi:10.1037/0278-6133.27.3(suppl.).s207.
  • McIntosh, A. M., P. F. Sullivan, and C. M. Lewis. 2019. Uncovering the genetic architecture of major depression. Neuron 102 (1):91–103. doi:10.1016/j.neuron.2019.03.022.
  • Merikangas, K. R., M. M. Weissman, and D. L. Pauls. 1985. Genetic factors in the sex ratio of major depression. Psychological Medicine 15 (1):63–69. doi:10.1017/s0033291700020936.
  • Meyers, J. L., D. B. Chorlian, T. B. Bigdeli, E. C. Johnson, F. Aliev, A. Agrawal, L. Almasy, A. Anokhin, H. J. Edenberg, T. Foroud, et al. 2021. The association of polygenic risk for schizophrenia, bipolar disorder, and depression with neural connectivity in adolescents and young adults: examining developmental and sex differences. Translational Psychiatry 11 (1):54. doi:10.1038/s41398-020-01185-7.
  • Miller, D. R., M. W. Logue, E. J. Wolf, H. Maniates, M. E. Robinson, J. P. Hayes, A. Stone, S. Schichman, R. E. McGlinchey, W. P. Milberg, et al. 2017. Posttraumatic stress disorder symptom severity is associated with reduced default mode network connectivity in individuals with elevated genetic risk for psychopathology. Depression and Anxiety 34 (7):632–40. doi:10.1002/da.22633.
  • Mistry, S., J. R. Harrison, D. J. Smith, V. Escott-Price, and S. Zammit. 2018. The use of polygenic risk scores to identify phenotypes associated with genetic risk of bipolar disorder and depression: A systematic review. Journal of Affective Disorders 234 (February):148–55. doi:10.1016/j.jad.2018.02.005.
  • Musliner, K. L., F. Seifuddin, J. A. Judy, M. Pirooznia, F. S. Goes, and P. P. Zandi. 2015. Polygenic risk, stressful life events and depressive symptoms in older adults: A polygenic score analysis. Psychological Medicine 45 (8):1709–20. doi:10.1017/S0033291714002839.
  • Nishino, J., H. Ochi, Y. Kochi, T. Tsunoda, and S. Matsui. 2018. Sample size for successful genome-wide association study of major depressive disorder. Frontiers in Genetics 9 (June):227. doi:10.3389/fgene.2018.00227.
  • Nyman, E. S., S. Sulkava, P. Soronen, J. Miettunen, A. Loukola, V. Leppä, M. Joukamaa, P. Maki, M. -R. Jarvelin, N. Freimer, et al. 2011. Interaction of early environment, gender and genes of monoamine neurotransmission in the aetiology of depression in a large population-based Finnish birth cohort. BMJ Open 1 (1):e000087. doi:10.1136/bmjopen-2011-000087.
  • Peyrot, W. J., Y. Milaneschi, A. Abdellaoui, P. F. Sullivan, J. J. Hottenga, D. I. Boomsma, and B. W. J. H. Penninx. 2014. Effect of polygenic risk scores on depression in childhood trauma. British Journal of Psychiatry 205 (2):113–19. doi:10.1192/bjp.bp.113.143081.
  • Polderman, T. J. C., B. Benyamin, C. A. de Leeuw, P. F. Sullivan, A. van Bochoven, P. M. Visscher, and D. Posthuma. 2015. Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics 47 (7):702–09. doi:10.1038/ng.3285.
  • Price, A. L., N. J. Patterson, R. M. Plenge, M. E. Weinblatt, N. A. Shadick, and D. Reich. 2006. Principal components analysis corrects for stratification in genome-wide association studies. Nature Genetics 38 (8):904–09. doi:10.1038/ng1847.
  • Priess-Groben, H. A., and J. Shibley Hyde. 2013. 5-HTTLPR X stress in adolescent depression: Moderation by MAOA and gender. Journal of Abnormal Child Psychology 41 (2):281–94. doi:10.1007/s10802-012-9672-1.
  • Rabe-Hesketh, S., and A. Skrondal. 2012. Multilevel and longitudinal modeling using stata. 3rd ed. College Station, Texas: Stata Press Publication.
  • Rice, F., G. T. Harold, and A. Thapar. 2002. Assessing the effects of age, sex and shared environment on the genetic aetiology of depression in childhood and adolescence. Journal of Child Psychology and Psychiatry, and Allied Disciplines 43 (8):1039–51. doi:10.1111/1469-7610.00231.
  • Rieker, P. P., and C. E. Bird. 2005. Rethinking gender differences in health: Why we need to integrate social and biological perspectives. The Journals of Gerontology: Series B 60 (Special_Issue_2):S40–47. doi:10.1093/geronb/60.Special_Issue_2.S40.
  • Ripke, S., N. R. Wray, C. M. Lewis, S. P. Hamilton, M. M. Weissman, G. Breen, E. M. Byrne, D. H. R. Blackwood, D. I. Boomsma, S. Cichon, et al. 2013. A mega-analysis of genome-wide association studies for major depressive disorder. Molecular Psychiatry 18 (4):497–511. doi:10.1038/mp.2012.21.
  • Salk, R. H., J. S. Hyde, and L. Y. Abramson. 2017. Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. Psychological Bulletin 143 (8):783–822. doi:10.1037/bul0000102.
  • Scott, S. B., B. R. Whitehead, C. S. Bergeman, and L. Pitzer. 2013. Combinations of stressors in midlife: Examining role and domain stressors using regression trees and random forests. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences 68 (3):464–75. doi:10.1093/geronb/gbs166.
  • Scourfield, J., F. Rice, A. Thapar, G. T. Harold, N. Martin, and P. McGuffin. 2003. Depressive symptoms in children and adolescents: Changing aetiological influences with development. Journal of Child Psychology and Psychiatry, and Allied Disciplines 44 (7):968–76. doi:10.1111/1469-7610.00181.
  • Short, S. E., Y. Claire Yang, and T. M. Jenkins. 2013. Sex, gender, genetics, and health. American Journal of Public Health 103 (Suppl 1):S93–101. doi:10.2105/AJPH.2013.301229.
  • Singer, J. D., and J. B. Willett. 2003. Applied longitudinal data analysis: Modeling change and event occurrence. London: Oxford University Press.
  • Sivertsen, H., G. Hanevold Bjørkløf, K. Engedal, G. Selbæk, and A.S. Helvik. 2015. Depression and quality of life in older persons: A review. Dementia and Geriatric Cognitive Disorders 40 (5–6):311–39. doi:10.1159/000437299.
  • Sonnega, A., J. D. Faul, M. B. Ofstedal, K. M. Langa, J. W. Phillips, and D. R. Weir. 2014. Cohort profile: The Health and Retirement Study (HRS). International Journal of Epidemiology 43 (2):576–85. doi:10.1093/ije/dyu067.
  • Steffick, D. E. 2000. Documentation of affective functioning measures in the health and retirement study. Ann Arbor: University of Michigan.
  • Stein, E. M., K. P. Gennuso, D. C. Ugboaja, and P. L. Remington. 2017. The epidemic of despair among white Americans: Trends in the leading causes of premature death, 1999-2015. American Journal of Public Health 107 (10):1541–47. doi:10.2105/AJPH.2017.303941.
  • Streeter, J. L. 2020. Gender differences in widowhood in the short-run and long-run: financial, emotional, and mental wellbeing. The Journal of the Economics of Ageing 17 (October):100258. doi:10.1016/j.jeoa.2020.100258.
  • Sullivan, P. F., M. C. Neale, and K. S. Kendler. 2000. Genetic epidemiology of major depression: Review and meta-analysis. The American Journal of Psychiatry 157 (10):1552–62. doi:10.1176/appi.ajp.157.10.1552.
  • Terry, A., and C. L. Estes. 2020. Older women in the post-reagan era. In women’s health, politics, and power: essays on sex/gender, medicine, and public health, ed. E. Fee and N. Krieger, 333–49. Routledge. doi: 10.4324/9781315231020-25.
  • Uddin, M., R. de Los Santos, E. Bakshis, C. Cheng, and A. E. Aiello. 2011. Building conditions, 5-HTTLPR genotype, and depressive symptoms in adolescent males and females. Journal of Adolescent Health 49 (4):379–85. doi:10.1016/j.jadohealth.2011.01.013.
  • Ustün, T. B., J. Rehm, S. Chatterji, S. Saxena, R. Trotter, R. Room, and J. Bickenbach. 1999. Multiple-informant ranking of the disabling effects of different health conditions in 14 countries. WHO/NIH joint project CAR study group. The Lancet 354 (9173):111–15. doi:10.1016/s0140-6736(98)07507-2.
  • Weissman, M. M., and G. L. Klerman. 1977. Sex differences and the epidemiology of depression. Archives of General Psychiatry 34 (1):98–111. doi:10.1001/archpsyc.1977.01770130100011.
  • Williams, R. 2021. Models for count outcomes. Accessed March 14, 2021. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www3.nd.edu/~rwilliam/stats3/CountModels.pdf.
  • World Health Organization. 2017. Depression. WHO Website. http://www.who.int/mediacentre/factsheets/fs369/en/.
  • Wray, N. R., S. Hong Lee, D. Mehta, A. A. E. Vinkhuyzen, F. Dudbridge, and C. M. Middeldorp. 2014. Research review: Polygenic methods and their application to psychiatric traits. Journal of Child Psychology and Psychiatry, and Allied Disciplines 55 (10):1068–87. doi:10.1111/jcpp.12295.
  • Wray, N. R., S. Ripke, M. Mattheisen, M. Trzaskowski, E. M. Byrne, A. Abdellaoui, M. J. Adams, E. Agerbo, T. M. Air, T. M. F. Andlauer, et al. 2018. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics 50 (5):668–81. doi:10.1038/s41588-018-0090-3.
  • Yang, Y., and M. Kozloski. 2011. Sex differences in age trajectories of physiological dysregulation: Inflammation, metabolic syndrome, and allostatic load. The Journals of Gerontology Series A, Biological Sciences and Medical Sciences 66 (5):493–500. doi:10.1093/gerona/glr003.
  • Zhao, L., G. Han, Y. Zhao, Y. Jin, G. Tongtong, W. Yang, R. Cui, X. Songbai, and L. Bingjin. 2020. Gender differences in depression: Evidence from genetics. Frontiers in Genetics 11 (October):562316. doi:10.3389/fgene.2020.562316.
  • Zivin, K., D. J. Llewellyn, I. A. Lang, S. Vijan, M. U. Kabeto, E. M. Miller, and K. M. Langa. 2010. Depression among older adults in the United States and England. The American Journal of Geriatric Psychiatry 18 (11):1036–44. doi:10.1097/JGP.0b013e3181dba6d2.

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