Elizabeth C. Coppola , Shelley MacDermid Wadsworth , Zoe E. Taylor , Laura Schwab-Reese , Sharon L. Christ
{"title":"与军队有关的抑郁症状的长期轨迹。","authors":"Elizabeth C. Coppola , Shelley MacDermid Wadsworth , Zoe E. Taylor , Laura Schwab-Reese , Sharon L. Christ","doi":"10.1016/j.ssmph.2024.101733","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>Using a national sample of Americans, this study estimated and compared patterns of depressive symptom trajectories stratified by military service. This study then examined associations between sociodemographic factors theorized to shape entry into military service and trajectory patterns.</div></div><div><h3>Method</h3><div>Data came from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study that followed participants from adolescence (1994–1995) through midlife (2016–2018). Latent growth mixture modeling was used to estimate depressive symptom trajectories among civilians (<em>n</em> = 17,644) and participants who served in the military (<em>n</em> = 1266). Associations between trajectory membership and sociodemographic factors were tested with multinomial regression.</div></div><div><h3>Results</h3><div>Trajectories were best represented by 4-class linear models. “Low” was the largest class, representing 74.4% of civilians and 70.4% of those who served. The second largest class, “low then increasing,” was comprised of 13.6% of civilians and 19.6% of service members. The third smallest class, “high then decreasing” class, included 8.8% of civilians and 4.5% of service members. An “increasing” class emerged with high depressive symptoms by midlife, comprised of 3.2% of civilians and 5.5% of those who served. Gender and family structure had robust associations with trajectory membership.</div></div><div><h3>Discussion</h3><div>A larger percentage of those who served were in the “increasing” trajectory characterized by concerningly high depressive symptoms by midlife, underscoring the need for continued screening in depressive symptoms throughout the life course. Associations between family structure and gender on depressive symptoms support calls for conceptualizing family structure as a social determinant of health and continued investment in women's health.</div></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"29 ","pages":"Article 101733"},"PeriodicalIF":3.6000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667064/pdf/","citationCount":"0","resultStr":"{\"title\":\"Long-term trajectories of depressive symptoms by military affiliation\",\"authors\":\"Elizabeth C. Coppola , Shelley MacDermid Wadsworth , Zoe E. Taylor , Laura Schwab-Reese , Sharon L. Christ\",\"doi\":\"10.1016/j.ssmph.2024.101733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>Using a national sample of Americans, this study estimated and compared patterns of depressive symptom trajectories stratified by military service. This study then examined associations between sociodemographic factors theorized to shape entry into military service and trajectory patterns.</div></div><div><h3>Method</h3><div>Data came from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study that followed participants from adolescence (1994–1995) through midlife (2016–2018). Latent growth mixture modeling was used to estimate depressive symptom trajectories among civilians (<em>n</em> = 17,644) and participants who served in the military (<em>n</em> = 1266). Associations between trajectory membership and sociodemographic factors were tested with multinomial regression.</div></div><div><h3>Results</h3><div>Trajectories were best represented by 4-class linear models. “Low” was the largest class, representing 74.4% of civilians and 70.4% of those who served. The second largest class, “low then increasing,” was comprised of 13.6% of civilians and 19.6% of service members. The third smallest class, “high then decreasing” class, included 8.8% of civilians and 4.5% of service members. An “increasing” class emerged with high depressive symptoms by midlife, comprised of 3.2% of civilians and 5.5% of those who served. Gender and family structure had robust associations with trajectory membership.</div></div><div><h3>Discussion</h3><div>A larger percentage of those who served were in the “increasing” trajectory characterized by concerningly high depressive symptoms by midlife, underscoring the need for continued screening in depressive symptoms throughout the life course. Associations between family structure and gender on depressive symptoms support calls for conceptualizing family structure as a social determinant of health and continued investment in women's health.</div></div>\",\"PeriodicalId\":47780,\"journal\":{\"name\":\"Ssm-Population Health\",\"volume\":\"29 \",\"pages\":\"Article 101733\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667064/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ssm-Population Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352827324001344\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ssm-Population Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352827324001344","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Long-term trajectories of depressive symptoms by military affiliation
Objectives
Using a national sample of Americans, this study estimated and compared patterns of depressive symptom trajectories stratified by military service. This study then examined associations between sociodemographic factors theorized to shape entry into military service and trajectory patterns.
Method
Data came from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study that followed participants from adolescence (1994–1995) through midlife (2016–2018). Latent growth mixture modeling was used to estimate depressive symptom trajectories among civilians (n = 17,644) and participants who served in the military (n = 1266). Associations between trajectory membership and sociodemographic factors were tested with multinomial regression.
Results
Trajectories were best represented by 4-class linear models. “Low” was the largest class, representing 74.4% of civilians and 70.4% of those who served. The second largest class, “low then increasing,” was comprised of 13.6% of civilians and 19.6% of service members. The third smallest class, “high then decreasing” class, included 8.8% of civilians and 4.5% of service members. An “increasing” class emerged with high depressive symptoms by midlife, comprised of 3.2% of civilians and 5.5% of those who served. Gender and family structure had robust associations with trajectory membership.
Discussion
A larger percentage of those who served were in the “increasing” trajectory characterized by concerningly high depressive symptoms by midlife, underscoring the need for continued screening in depressive symptoms throughout the life course. Associations between family structure and gender on depressive symptoms support calls for conceptualizing family structure as a social determinant of health and continued investment in women's health.
期刊介绍:
SSM - Population Health. The new online only, open access, peer reviewed journal in all areas relating Social Science research to population health. SSM - Population Health shares the same Editors-in Chief and general approach to manuscripts as its sister journal, Social Science & Medicine. The journal takes a broad approach to the field especially welcoming interdisciplinary papers from across the Social Sciences and allied areas. SSM - Population Health offers an alternative outlet for work which might not be considered, or is classed as ''out of scope'' elsewhere, and prioritizes fast peer review and publication to the benefit of authors and readers. The journal welcomes all types of paper from traditional primary research articles, replication studies, short communications, methodological studies, instrument validation, opinion pieces, literature reviews, etc. SSM - Population Health also offers the opportunity to publish special issues or sections to reflect current interest and research in topical or developing areas. The journal fully supports authors wanting to present their research in an innovative fashion though the use of multimedia formats.