青少年抑郁症状发生时的性别差异:跨滞后面板网络分析

IF 2.9 2区 心理学 Q1 PSYCHOLOGY, CLINICAL
Sihan Liu, Haining Ren, Yijia Li, Yang Liu, Sinan Fu, Zhuo Rachel Han
{"title":"青少年抑郁症状发生时的性别差异:跨滞后面板网络分析","authors":"Sihan Liu, Haining Ren, Yijia Li, Yang Liu, Sinan Fu, Zhuo Rachel Han","doi":"10.1007/s10802-024-01235-4","DOIUrl":null,"url":null,"abstract":"<p><p>Depressive symptoms are prevalent in adolescents, especially girls, underscoring the need for early detection and targeted interventions. Identifying initial symptoms and their temporal associations is vital for such interventions. This study used cross-lagged panel network (CLPN) analysis to examine the central depressive symptoms and their interconnections within a national cohort derived from the China Family Panel Study (CFPS). The participants included 2524 adolescents (45.8% girls), with depressive symptoms assessed using the Epidemiological Studies Depression Scale (CES-D-8) in 2016 (M<sub>age</sub> = 12.30) and 2018 (M<sub>age</sub> = 14.25). The CLPN model showed that \"loneliness\" and \"not getting going (fatigue)\" at T1 were the strongest predictors of subsequent depressive symptoms at T2, after controlling for demographic variables and depressive symptoms at T1. Conversely, depressed mood and anhedonia at T2 were most likely to be influenced by other symptoms at T1. Gender-stratified analyses identified \"loneliness\" as the initial symptom in girls and \"fatigue\" for boys. Additionally, girls exhibited stronger reciprocal associations among depressive symptoms than boys. The findings suggest that addressing interpersonal loneliness is crucial for adolescent girls, whereas somatic fatigue should be a focus for adolescent boys, highlighting the need for gender-specific approaches in early intervention strategies. This research provides insights into the distinct gendered networks of depressive symptomatology in adolescents, informing tailored prevention and intervention efforts.</p>","PeriodicalId":36218,"journal":{"name":"Research on Child and Adolescent Psychopathology","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gender Difference in the Onset of Adolescent Depressive Symptoms: A Cross-Lagged Panel Network Analysis.\",\"authors\":\"Sihan Liu, Haining Ren, Yijia Li, Yang Liu, Sinan Fu, Zhuo Rachel Han\",\"doi\":\"10.1007/s10802-024-01235-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Depressive symptoms are prevalent in adolescents, especially girls, underscoring the need for early detection and targeted interventions. Identifying initial symptoms and their temporal associations is vital for such interventions. This study used cross-lagged panel network (CLPN) analysis to examine the central depressive symptoms and their interconnections within a national cohort derived from the China Family Panel Study (CFPS). The participants included 2524 adolescents (45.8% girls), with depressive symptoms assessed using the Epidemiological Studies Depression Scale (CES-D-8) in 2016 (M<sub>age</sub> = 12.30) and 2018 (M<sub>age</sub> = 14.25). The CLPN model showed that \\\"loneliness\\\" and \\\"not getting going (fatigue)\\\" at T1 were the strongest predictors of subsequent depressive symptoms at T2, after controlling for demographic variables and depressive symptoms at T1. Conversely, depressed mood and anhedonia at T2 were most likely to be influenced by other symptoms at T1. Gender-stratified analyses identified \\\"loneliness\\\" as the initial symptom in girls and \\\"fatigue\\\" for boys. Additionally, girls exhibited stronger reciprocal associations among depressive symptoms than boys. The findings suggest that addressing interpersonal loneliness is crucial for adolescent girls, whereas somatic fatigue should be a focus for adolescent boys, highlighting the need for gender-specific approaches in early intervention strategies. This research provides insights into the distinct gendered networks of depressive symptomatology in adolescents, informing tailored prevention and intervention efforts.</p>\",\"PeriodicalId\":36218,\"journal\":{\"name\":\"Research on Child and Adolescent Psychopathology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research on Child and Adolescent Psychopathology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1007/s10802-024-01235-4\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research on Child and Adolescent Psychopathology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1007/s10802-024-01235-4","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0

摘要

抑郁症状在青少年,尤其是女孩中十分普遍,这说明有必要及早发现并采取有针对性的干预措施。识别初始症状及其时间关联对于此类干预措施至关重要。本研究采用交叉滞后面板网络(CLPN)分析法,研究了中国家庭面板研究(CFPS)全国队列中的中心抑郁症状及其相互联系。参与者包括2524名青少年(45.8%为女生),他们的抑郁症状分别在2016年(Mage = 12.30)和2018年(Mage = 14.25)使用流行病学研究抑郁量表(CES-D-8)进行评估。CLPN模型显示,在控制了人口统计学变量和T1时的抑郁症状后,T1时的 "孤独感 "和 "无法继续(疲劳)"是T2时后续抑郁症状的最强预测因子。相反,T2时的抑郁情绪和失乐症最有可能受到T1时其他症状的影响。性别分层分析表明,"孤独 "是女孩的初始症状,而 "疲劳 "则是男孩的初始症状。此外,与男孩相比,女孩的抑郁症状表现出更强的相互关联性。研究结果表明,解决人际交往中的孤独感对青春期女孩至关重要,而躯体疲劳则应是青春期男孩的重点,这凸显了在早期干预策略中采取针对不同性别的方法的必要性。这项研究深入揭示了青少年抑郁症状的不同性别网络,为有针对性的预防和干预工作提供了信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Gender Difference in the Onset of Adolescent Depressive Symptoms: A Cross-Lagged Panel Network Analysis.

Gender Difference in the Onset of Adolescent Depressive Symptoms: A Cross-Lagged Panel Network Analysis.

Depressive symptoms are prevalent in adolescents, especially girls, underscoring the need for early detection and targeted interventions. Identifying initial symptoms and their temporal associations is vital for such interventions. This study used cross-lagged panel network (CLPN) analysis to examine the central depressive symptoms and their interconnections within a national cohort derived from the China Family Panel Study (CFPS). The participants included 2524 adolescents (45.8% girls), with depressive symptoms assessed using the Epidemiological Studies Depression Scale (CES-D-8) in 2016 (Mage = 12.30) and 2018 (Mage = 14.25). The CLPN model showed that "loneliness" and "not getting going (fatigue)" at T1 were the strongest predictors of subsequent depressive symptoms at T2, after controlling for demographic variables and depressive symptoms at T1. Conversely, depressed mood and anhedonia at T2 were most likely to be influenced by other symptoms at T1. Gender-stratified analyses identified "loneliness" as the initial symptom in girls and "fatigue" for boys. Additionally, girls exhibited stronger reciprocal associations among depressive symptoms than boys. The findings suggest that addressing interpersonal loneliness is crucial for adolescent girls, whereas somatic fatigue should be a focus for adolescent boys, highlighting the need for gender-specific approaches in early intervention strategies. This research provides insights into the distinct gendered networks of depressive symptomatology in adolescents, informing tailored prevention and intervention efforts.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Research on Child and Adolescent Psychopathology
Research on Child and Adolescent Psychopathology Psychology-Developmental and Educational Psychology
CiteScore
5.00
自引率
4.00%
发文量
107
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信