Open AccessLongitudinal prediction of positive and negative mental health in Germany, Russia, and China
Author(s) -
Jürgen Margraf,
Xiao Chi Zhang,
Kristen L. Lavallee,
Silvia Schneider
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0234997
Subject(s) - mental health , depression (economics) , anxiety , longitudinal study , china , psychology , conceptualization , clinical psychology , psychiatry , structural equation modeling , medicine , geography , pathology , statistics , mathematics , archaeology , artificial intelligence , computer science , economics , macroeconomics
The present study examines a broad range of longitudinal predictors of dimensional positive mental health (PMH) and negative mental health (NMH), using data from the BOOM study. Participants were drawn from university student samples in Germany (1,608), Russia (677) and China (12,057). A structural equation model was conducted with four groups of predictors and PMH/NMH as criteria (outcomes). Five of the six salutogenic predictors were predictive of both positive mental health (positively) and negative mental health, as measured by depression (negatively). Pathogenic predictors anxiety and depression were related to future depression, but not to positive mental health. Stress at baseline was related to both future positive mental health (negatively) and future depression (positively). Being male in this study was associated with increased future depression. Results hold across Germany, Russia, and China. Results support the conceptualization of positive and negative mental health as related, but independent dimensions across three cultures.