{"title":"中国城乡家庭社会经济地位与青少年抑郁症:轨迹分析","authors":"Jing Zeng , Yuebin Xu","doi":"10.1016/j.ssmph.2024.101627","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Depression is increasingly prevalent among Chinese adolescents, with socioeconomic status (SES) serving as a significant predictor. Understanding the link between family SES and depression is of paramount concern. This study aimed to delineate the developmental paths of depressive symptoms among urban and rural Chinese adolescents, focusing on the influence of family SES on these trajectories.</p></div><div><h3>Methods</h3><p>Data from the China Family Panel Studies (CFPS) for 2012, 2016, and 2018 were used in this study. Participants were individuals aged 10 to 15 in the 2012 wave who also participated in the 2016 and 2018 waves (N = 1214). Family SES was measured by household income, parental education, and occupational status, while depressive symptoms were measured by the Center for Epidemiologic Studies Depression (CES-D) scale. Employing the Growth Mix Model (GMM) unveiled depression trajectories, while logistic regression scrutinized the impact of family SES on these trajectories.</p></div><div><h3>Results</h3><p>The study identified three depression trajectories in urban adolescents: high-decreasing, low-stable, and low-rising levels of depressive symptoms, and two depression trajectories in rural adolescents: high-decreasing and low-stable levels of depressive symptoms. On average, rural adolescents reported higher depression levels than urban peers. In urban areas, adolescents with higher maternal education and parental occupation were more likely to be classified in the low-stable trajectory, while in rural areas only maternal education had predictive power for depression trajectories.</p></div><div><h3>Conclusions</h3><p>Depression trajectories differ between urban and rural in China. Maternal education is an important factor influencing rural sample grouping. Targeted interventions could be implemented to reduce depression in adolescents.</p></div>","PeriodicalId":47780,"journal":{"name":"Ssm-Population Health","volume":"25 ","pages":"Article 101627"},"PeriodicalIF":3.6000,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352827324000272/pdfft?md5=f73eff32790a94783d20dabe5e73f402&pid=1-s2.0-S2352827324000272-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Family socioeconomic status and adolescent depression in urban and rural China: A trajectory analysis\",\"authors\":\"Jing Zeng , Yuebin Xu\",\"doi\":\"10.1016/j.ssmph.2024.101627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Depression is increasingly prevalent among Chinese adolescents, with socioeconomic status (SES) serving as a significant predictor. Understanding the link between family SES and depression is of paramount concern. This study aimed to delineate the developmental paths of depressive symptoms among urban and rural Chinese adolescents, focusing on the influence of family SES on these trajectories.</p></div><div><h3>Methods</h3><p>Data from the China Family Panel Studies (CFPS) for 2012, 2016, and 2018 were used in this study. Participants were individuals aged 10 to 15 in the 2012 wave who also participated in the 2016 and 2018 waves (N = 1214). Family SES was measured by household income, parental education, and occupational status, while depressive symptoms were measured by the Center for Epidemiologic Studies Depression (CES-D) scale. Employing the Growth Mix Model (GMM) unveiled depression trajectories, while logistic regression scrutinized the impact of family SES on these trajectories.</p></div><div><h3>Results</h3><p>The study identified three depression trajectories in urban adolescents: high-decreasing, low-stable, and low-rising levels of depressive symptoms, and two depression trajectories in rural adolescents: high-decreasing and low-stable levels of depressive symptoms. On average, rural adolescents reported higher depression levels than urban peers. In urban areas, adolescents with higher maternal education and parental occupation were more likely to be classified in the low-stable trajectory, while in rural areas only maternal education had predictive power for depression trajectories.</p></div><div><h3>Conclusions</h3><p>Depression trajectories differ between urban and rural in China. Maternal education is an important factor influencing rural sample grouping. 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引用次数: 0
摘要
背景抑郁症在中国青少年中越来越普遍,而社会经济地位(SES)是一个重要的预测因素。了解家庭社会经济地位与抑郁症之间的联系是当务之急。本研究旨在描述中国城市和农村青少年抑郁症状的发展轨迹,重点关注家庭社会经济地位对这些轨迹的影响。方法本研究使用了中国家庭面板研究(CFPS)2012年、2016年和2018年的数据。参与者为2012年波次中的10至15岁青少年,他们也参加了2016年和2018年的波次(N = 1214)。家庭 SES 通过家庭收入、父母教育程度和职业状况来衡量,抑郁症状则通过流行病学研究中心抑郁量表(CES-D)来衡量。研究发现了城市青少年的三种抑郁轨迹:抑郁症状高度下降、低度稳定和低度上升;农村青少年的两种抑郁轨迹:抑郁症状高度下降和低度稳定。平均而言,农村青少年的抑郁水平高于城市青少年。在城市地区,母亲受教育程度和父母职业越高的青少年越有可能被归入低稳定性抑郁轨迹,而在农村地区,只有母亲受教育程度对抑郁轨迹有预测作用。结论 中国城市和农村的抑郁轨迹存在差异,孕产妇教育程度是影响农村样本分组的重要因素。可以采取有针对性的干预措施来减少青少年抑郁症的发生。
Family socioeconomic status and adolescent depression in urban and rural China: A trajectory analysis
Background
Depression is increasingly prevalent among Chinese adolescents, with socioeconomic status (SES) serving as a significant predictor. Understanding the link between family SES and depression is of paramount concern. This study aimed to delineate the developmental paths of depressive symptoms among urban and rural Chinese adolescents, focusing on the influence of family SES on these trajectories.
Methods
Data from the China Family Panel Studies (CFPS) for 2012, 2016, and 2018 were used in this study. Participants were individuals aged 10 to 15 in the 2012 wave who also participated in the 2016 and 2018 waves (N = 1214). Family SES was measured by household income, parental education, and occupational status, while depressive symptoms were measured by the Center for Epidemiologic Studies Depression (CES-D) scale. Employing the Growth Mix Model (GMM) unveiled depression trajectories, while logistic regression scrutinized the impact of family SES on these trajectories.
Results
The study identified three depression trajectories in urban adolescents: high-decreasing, low-stable, and low-rising levels of depressive symptoms, and two depression trajectories in rural adolescents: high-decreasing and low-stable levels of depressive symptoms. On average, rural adolescents reported higher depression levels than urban peers. In urban areas, adolescents with higher maternal education and parental occupation were more likely to be classified in the low-stable trajectory, while in rural areas only maternal education had predictive power for depression trajectories.
Conclusions
Depression trajectories differ between urban and rural in China. Maternal education is an important factor influencing rural sample grouping. Targeted interventions could be implemented to reduce depression in adolescents.
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.