Emotional Vulnerability in Adolescents (EVA) Study: Identifying Potential Biopsychosocial Markers for Adolescent Depressive Symptoms and Well-Being

Asnea Tariq, Elaine Gray, Alice M. Gregory, Stella W. Y. Chan
{"title":"Emotional Vulnerability in Adolescents (EVA) Study: Identifying Potential Biopsychosocial Markers for Adolescent Depressive Symptoms and Well-Being","authors":"Asnea Tariq,&nbsp;Elaine Gray,&nbsp;Alice M. Gregory,&nbsp;Stella W. Y. Chan","doi":"10.1002/mhs2.70010","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n <p>Adolescent depression is a highly recurrent and disabling mental health condition affecting a significant proportion of adolescents. Conversely, adolescent well-being is a positive state of health and enhanced quality of life. Depression and well-being are critical metrics of life quality. However, little is known about the biopsychosocial markers that differentiate between these states. Stemming from our extensive longitudinal emotional vulnerability in adolescents ((EVA) research, this study identified potential vulnerability markers by examining associations between a range of biopsychosocial factors and depression and well-being in a relatively homogenous sample of adolescents at baseline. <i>N </i>= 425 adolescents (60.5% female and 34.4% male) between 12 and 18 years (M = 15.06, SD = 1.75) were recruited from 12 state and independent schools. A comprehensive battery of standardized measures was administered to assess various biopsychosocial factors, including background demographic and clinical characteristics, lifestyle factors, neural-cognitive mechanisms, psychological and social stress-related factors, coping style, and personality traits. Multiple Regression analyzes using the backward eliminations indicated that less physical activity, more social media usage, eating disorder risk, greater perceived stress, higher neuroticism, excessive rumination and negative self-reference bias accounted for 68% of depressive symptoms. Lower stress, less social media usage, and positive cognitive interpretation bias were sufficient to account for 51% of well-being scores. The present findings suggest key bio-psycho-social risk and resilience factors that may play a role in predicting adolescent depression and well-being. Upon further examination of our longitudinal follow-up studies, these results will directly contribute to developing preventative intervention strategies.</p>\n </section>\n </div>","PeriodicalId":94140,"journal":{"name":"Mental health science","volume":"3 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mhs2.70010","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mental health science","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mhs2.70010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Adolescent depression is a highly recurrent and disabling mental health condition affecting a significant proportion of adolescents. Conversely, adolescent well-being is a positive state of health and enhanced quality of life. Depression and well-being are critical metrics of life quality. However, little is known about the biopsychosocial markers that differentiate between these states. Stemming from our extensive longitudinal emotional vulnerability in adolescents ((EVA) research, this study identified potential vulnerability markers by examining associations between a range of biopsychosocial factors and depression and well-being in a relatively homogenous sample of adolescents at baseline. N = 425 adolescents (60.5% female and 34.4% male) between 12 and 18 years (M = 15.06, SD = 1.75) were recruited from 12 state and independent schools. A comprehensive battery of standardized measures was administered to assess various biopsychosocial factors, including background demographic and clinical characteristics, lifestyle factors, neural-cognitive mechanisms, psychological and social stress-related factors, coping style, and personality traits. Multiple Regression analyzes using the backward eliminations indicated that less physical activity, more social media usage, eating disorder risk, greater perceived stress, higher neuroticism, excessive rumination and negative self-reference bias accounted for 68% of depressive symptoms. Lower stress, less social media usage, and positive cognitive interpretation bias were sufficient to account for 51% of well-being scores. The present findings suggest key bio-psycho-social risk and resilience factors that may play a role in predicting adolescent depression and well-being. Upon further examination of our longitudinal follow-up studies, these results will directly contribute to developing preventative intervention strategies.

求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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