Study on influencing factors and configurational pathways of hope level in adolescent patients with depression
Abstract
ObjectiveTo explore the pathways and psychosocial synergistic mechanisms underlying hope level in adolescent patients with depression,so as to provide references for health promotion in this population.MethodsUsing convenience sampling,220 adolescent patients with depression were recruited from a tertiary psychiatric hospital in Yunnan Province.Surveys were conducted using the general information questionnaire,Self⁃Rating Depression Scale,Insight and Treatment Attitude Questionnaire,General Self⁃Efficacy Scale,Depression Stigma Scale,Perceived Social Support Scale,and Herth Hope Index.Taking hope level as the outcome variable,statistically significant variables from univariate analysis were selected as condition variables.Fuzzy⁃set qualitative comparative analysis(fsQCA) was then performed.ResultsThe eight condition variables generated eight configurations explaining hope level in adolescent patients with depression.The overall consistency was 0.909.The overall coverage was 0.491,covering five psychosocial model mechanisms of hope level.Among the eight condition variables,non⁃discrimination experience,disease coping style,perceived social support level,self⁃efficacy,and depression stigma had more prominent effects on patients' hope level.ConclusionsMultiple pathways exist for improving hope level in adolescent patients with depression.Different patient subgroups require hope empowerment through differentiated combinations of factors.Future precision health promotion strategies can be developed based on specific configuration types, ranging from internal cognitive restructuring to external environmental optimization for patients.
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BibTeX
@article{jiamei2026study,
title = {{Study on influencing factors and configurational pathways of hope level in adolescent patients with depression}},
author = {GONG Jiamei and TAO Hui and TAN Shu and YANG Xiuhe and ZHU Lei and SONG Guo and CHEN Lin and LI Fang},
journal = {Huli yanjiu},
year = {2026},
month = oct,
url = {http://hlyj.suo1.cn/thesisDetails#10.12102/j.issn.1009-6493.2026.21.006},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Study on influencing factors and configurational pathways of hope level in adolescent patients with depression
AU - GONG Jiamei
AU - TAO Hui
AU - TAN Shu
AU - YANG Xiuhe
AU - ZHU Lei
AU - SONG Guo
AU - CHEN Lin
AU - LI Fang
PY - 2026
DA - 2026/10/30
JO - Huli yanjiu
UR - http://hlyj.suo1.cn/thesisDetails#10.12102/j.issn.1009-6493.2026.21.006
AB - ObjectiveTo explore the pathways and psychosocial synergistic mechanisms underlying hope level in adolescent patients with depression,so as to provide references for health promotion in this population.MethodsUsing convenience sampling,220 adolescent patients with depression were recruited from a tertiary psychiatric hospital in Yunnan Province.Surveys were conducted using the general information questionnaire,Self⁃Rating Depression Scale,Insight and Treatment Attitude Questionnaire,General Self⁃Efficacy Scale,Depression Stigma Scale,Perceived Social Support Scale,and Herth Hope Index.Taking hope level as the outcome variable,statistically significant variables from univariate analysis were selected as condition variables.Fuzzy⁃set qualitative comparative analysis(fsQCA) was then performed.ResultsThe eight condition variables generated eight configurations explaining hope level in adolescent patients with depression.The overall consistency was 0.909.The overall coverage was 0.491,covering five psychosocial model mechanisms of hope level.Among the eight condition variables,non⁃discrimination experience,disease coping style,perceived social support level,self⁃efficacy,and depression stigma had more prominent effects on patients' hope level.ConclusionsMultiple pathways exist for improving hope level in adolescent patients with depression.Different patient subgroups require hope empowerment through differentiated combinations of factors.Future precision health promotion strategies can be developed based on specific configuration types, ranging from internal cognitive restructuring to external environmental optimization for patients.
SN - 1009-6493
ER -