{"title":"性别差异与多基因风险和中年至晚年抑郁轨迹的关系:一项全国性的纵向研究。","authors":"Ping Chen, Yi Li, Fang Wu","doi":"10.1080/19485565.2023.2196710","DOIUrl":null,"url":null,"abstract":"<p><p>Our research fills a critical gap in the depression literature by utilizing a life course perspective to examine gender-gene interactions in association with depression trajectories over time. Using data from the Health and Retirement Study, we estimated multi-level negative binomial and logistic mixed models to analyze gender-specific trajectories of depressive symptoms (CESD-8) and potential clinical depression risk from middle to late adulthood in relation to gender-by-polygenic-risk (PRS) interactions. We found increasingly greater female-male gaps in the CESD-8 scale and a higher probability of clinical depression risk with increasing polygenic risk scores. Furthermore, females' higher genetic vulnerabilities to depressive conditions than males vary from ages 51 to 90 years, <i>with most salient larger differences at oldest old ages at 76-85</i> (e.g. 0.28 higher CESD-8 scale for females at ages 76-85 years than for similar-aged males; higher 3.44% probability of depression risk for females at ages 81-85 compared to similar-aged males) <i>followed by old ages at 61-70 years</i> (e.g. about 2.40% higher probability of depression risk for females at ages 61-70 years than for similar-aged males) <i>in comparison to younger ages during middle adulthood</i>. This study contributes to new knowledge of how gender-by-polygenic-risk interactions are associated with depression trajectories across the life course.</p>","PeriodicalId":45428,"journal":{"name":"Biodemography and Social Biology","volume":"68 1","pages":"32-53"},"PeriodicalIF":0.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Gender differences in the association of polygenic risk and divergent depression trajectories from mid to late life: a national longitudinal study.\",\"authors\":\"Ping Chen, Yi Li, Fang Wu\",\"doi\":\"10.1080/19485565.2023.2196710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Our research fills a critical gap in the depression literature by utilizing a life course perspective to examine gender-gene interactions in association with depression trajectories over time. Using data from the Health and Retirement Study, we estimated multi-level negative binomial and logistic mixed models to analyze gender-specific trajectories of depressive symptoms (CESD-8) and potential clinical depression risk from middle to late adulthood in relation to gender-by-polygenic-risk (PRS) interactions. We found increasingly greater female-male gaps in the CESD-8 scale and a higher probability of clinical depression risk with increasing polygenic risk scores. Furthermore, females' higher genetic vulnerabilities to depressive conditions than males vary from ages 51 to 90 years, <i>with most salient larger differences at oldest old ages at 76-85</i> (e.g. 0.28 higher CESD-8 scale for females at ages 76-85 years than for similar-aged males; higher 3.44% probability of depression risk for females at ages 81-85 compared to similar-aged males) <i>followed by old ages at 61-70 years</i> (e.g. about 2.40% higher probability of depression risk for females at ages 61-70 years than for similar-aged males) <i>in comparison to younger ages during middle adulthood</i>. This study contributes to new knowledge of how gender-by-polygenic-risk interactions are associated with depression trajectories across the life course.</p>\",\"PeriodicalId\":45428,\"journal\":{\"name\":\"Biodemography and Social Biology\",\"volume\":\"68 1\",\"pages\":\"32-53\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biodemography and Social Biology\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/19485565.2023.2196710\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biodemography and Social Biology","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/19485565.2023.2196710","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
Gender differences in the association of polygenic risk and divergent depression trajectories from mid to late life: a national longitudinal study.
Our research fills a critical gap in the depression literature by utilizing a life course perspective to examine gender-gene interactions in association with depression trajectories over time. Using data from the Health and Retirement Study, we estimated multi-level negative binomial and logistic mixed models to analyze gender-specific trajectories of depressive symptoms (CESD-8) and potential clinical depression risk from middle to late adulthood in relation to gender-by-polygenic-risk (PRS) interactions. We found increasingly greater female-male gaps in the CESD-8 scale and a higher probability of clinical depression risk with increasing polygenic risk scores. Furthermore, females' higher genetic vulnerabilities to depressive conditions than males vary from ages 51 to 90 years, with most salient larger differences at oldest old ages at 76-85 (e.g. 0.28 higher CESD-8 scale for females at ages 76-85 years than for similar-aged males; higher 3.44% probability of depression risk for females at ages 81-85 compared to similar-aged males) followed by old ages at 61-70 years (e.g. about 2.40% higher probability of depression risk for females at ages 61-70 years than for similar-aged males) in comparison to younger ages during middle adulthood. This study contributes to new knowledge of how gender-by-polygenic-risk interactions are associated with depression trajectories across the life course.
期刊介绍:
Biodemography and Social Biology is the official journal of The Society for the Study of Social Biology, devoted to furthering the discussion, advancement, and dissemination of knowledge about biological and sociocultural forces affecting the structure and composition of human populations. This interdisciplinary publication features contributions from scholars in the fields of sociology, demography, psychology, anthropology, biology, genetics, criminal justice, and others. Original manuscripts that further knowledge in the area of social biology are welcome, along with brief reports, review articles, and book reviews.