Hind A Beydoun, May A Beydoun, Lauren Hale, Robert B Wallace, Su Yon Jung, Nazmus Saquib, Dorota Szymkowiak, Karen Derefinko, Alan B Zonderman, Robert Brunner, Jack Tsai
{"title":"美国老年妇女精神疾病与社会经济和退伍军人地位的关系。","authors":"Hind A Beydoun, May A Beydoun, Lauren Hale, Robert B Wallace, Su Yon Jung, Nazmus Saquib, Dorota Szymkowiak, Karen Derefinko, Alan B Zonderman, Robert Brunner, Jack Tsai","doi":"10.1016/j.jad.2025.120011","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To examine among women ≥65 years: [1] differences in prevalence and incidence of psychiatric disorders, including substance use and mental health disorders, by veteran status; and [2] relationships of individual and neighborhood socioeconomic status (SES) with psychiatric disorders by veteran status.</p><p><strong>Methods: </strong>A total of 42,031 study-eligible women ≥65 years at enrollment (1993-1998) from the Women's Health Initiative (WHI) - including 1512 veterans - were evaluated for approximately 15 years of follow-up through linked WHI-Medicare databases. Multivariable logistic and Cox regression models were constructed for characteristics associated with prevalent and incident psychiatric disorders, respectively.</p><p><strong>Results: </strong>Psychiatric disorders affected a substantial proportion of women ≥65 years of age, with mood and anxiety disorders being the leading types of disorders. The overall prevalence and incidence rates of psychiatric disorders were 37.3 % and 25.5 per 1000 person-years, respectively. In adjusted models, frequencies of psychiatric disorders did not differ by veteran status. Also, lower education, household income, and neighborhood SES were related to higher frequencies of psychiatric disorders only among women non-veterans, whereas managerial/professional occupations were associated with lower frequencies of psychiatric disorders among women irrespective of their veteran status. However, interactions between veteran status and SES indicators in relation to psychiatric disorders were not statistically significant.</p><p><strong>Conclusions: </strong>Disparities in psychiatric disorders by individual-level and neighborhood-level SES may be distinct among older women veterans and non-veterans necessitating in-depth investigation.</p>","PeriodicalId":14963,"journal":{"name":"Journal of affective disorders","volume":" ","pages":"120011"},"PeriodicalIF":4.9000,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12439202/pdf/","citationCount":"0","resultStr":"{\"title\":\"Psychiatric disorders among older U.S. women by socioeconomic and veteran status.\",\"authors\":\"Hind A Beydoun, May A Beydoun, Lauren Hale, Robert B Wallace, Su Yon Jung, Nazmus Saquib, Dorota Szymkowiak, Karen Derefinko, Alan B Zonderman, Robert Brunner, Jack Tsai\",\"doi\":\"10.1016/j.jad.2025.120011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To examine among women ≥65 years: [1] differences in prevalence and incidence of psychiatric disorders, including substance use and mental health disorders, by veteran status; and [2] relationships of individual and neighborhood socioeconomic status (SES) with psychiatric disorders by veteran status.</p><p><strong>Methods: </strong>A total of 42,031 study-eligible women ≥65 years at enrollment (1993-1998) from the Women's Health Initiative (WHI) - including 1512 veterans - were evaluated for approximately 15 years of follow-up through linked WHI-Medicare databases. Multivariable logistic and Cox regression models were constructed for characteristics associated with prevalent and incident psychiatric disorders, respectively.</p><p><strong>Results: </strong>Psychiatric disorders affected a substantial proportion of women ≥65 years of age, with mood and anxiety disorders being the leading types of disorders. The overall prevalence and incidence rates of psychiatric disorders were 37.3 % and 25.5 per 1000 person-years, respectively. In adjusted models, frequencies of psychiatric disorders did not differ by veteran status. Also, lower education, household income, and neighborhood SES were related to higher frequencies of psychiatric disorders only among women non-veterans, whereas managerial/professional occupations were associated with lower frequencies of psychiatric disorders among women irrespective of their veteran status. However, interactions between veteran status and SES indicators in relation to psychiatric disorders were not statistically significant.</p><p><strong>Conclusions: </strong>Disparities in psychiatric disorders by individual-level and neighborhood-level SES may be distinct among older women veterans and non-veterans necessitating in-depth investigation.</p>\",\"PeriodicalId\":14963,\"journal\":{\"name\":\"Journal of affective disorders\",\"volume\":\" \",\"pages\":\"120011\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12439202/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of affective disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jad.2025.120011\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of affective disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jad.2025.120011","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Psychiatric disorders among older U.S. women by socioeconomic and veteran status.
Objectives: To examine among women ≥65 years: [1] differences in prevalence and incidence of psychiatric disorders, including substance use and mental health disorders, by veteran status; and [2] relationships of individual and neighborhood socioeconomic status (SES) with psychiatric disorders by veteran status.
Methods: A total of 42,031 study-eligible women ≥65 years at enrollment (1993-1998) from the Women's Health Initiative (WHI) - including 1512 veterans - were evaluated for approximately 15 years of follow-up through linked WHI-Medicare databases. Multivariable logistic and Cox regression models were constructed for characteristics associated with prevalent and incident psychiatric disorders, respectively.
Results: Psychiatric disorders affected a substantial proportion of women ≥65 years of age, with mood and anxiety disorders being the leading types of disorders. The overall prevalence and incidence rates of psychiatric disorders were 37.3 % and 25.5 per 1000 person-years, respectively. In adjusted models, frequencies of psychiatric disorders did not differ by veteran status. Also, lower education, household income, and neighborhood SES were related to higher frequencies of psychiatric disorders only among women non-veterans, whereas managerial/professional occupations were associated with lower frequencies of psychiatric disorders among women irrespective of their veteran status. However, interactions between veteran status and SES indicators in relation to psychiatric disorders were not statistically significant.
Conclusions: Disparities in psychiatric disorders by individual-level and neighborhood-level SES may be distinct among older women veterans and non-veterans necessitating in-depth investigation.
期刊介绍:
The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.