A machine-learning approach to model risk and protective factors of vulnerability to depression
-
Published:2024-07
Issue:
Volume:175
Page:374-380
-
ISSN:0022-3956
-
Container-title:Journal of Psychiatric Research
-
language:en
-
Short-container-title:Journal of Psychiatric Research
Author:
Liu June M.,
Gao MengxiaORCID,
Zhang Ruibin,
Wong Nichol M.L.,
Wu Jingsong,
Chan Chetwyn C.H.,
Lee Tatia M.C.
Reference81 articles.
1. Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy, White women;Adler;Health Psychol.,2000
2. Longitudinal study of life events, well-being, emotional regulation and depressive symptomatology;Arnarson;J. Psychopathol. Behav. Assess.,2016
3. The relationship between online social networking and depression: a systematic review of quantitative studies;Baker;Cyberpsychol., Behav. Soc. Netw.,2016
4. Variation in the protective effect of higher education against depression;Bauldry;Soc. Ment. Health,2015
5. Second-class citizens? Subjective social status, acculturative stress, and immigrant well-being;Bernal;SN Social Sciences,2022