A Cross-Lagged Regression Analysis of Loneliness and Depression: A Two-Year Trace

Autor/inn/en	Ren, Lijie; Mo, Bibo; Liu, Junsheng; Li, Dan
Titel	A Cross-Lagged Regression Analysis of Loneliness and Depression: A Two-Year Trace
Quelle	In: European Journal of Developmental Psychology, 19 (2022) 2, S.198-212 (15 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1740-5629
DOI	10.1080/17405629.2020.1865146
Schlagwörter	Psychological Patterns; Depression (Psychology); Attribution Theory; Prediction; Undergraduate Students; Foreign Countries; Affective Measures; Measures (Individuals); Symptoms (Individual Disorders); Gender Differences; Asian Culture; Longitudinal Studies; China (Shanghai); UCLA Loneliness Scale; Center for Epidemiologic Studies Depression Scale + Suchen Sie Ihr Suchwort? Vorhersage; Ausland; Messdaten; Psychiatrische Symptomatik; Geschlechterkonflikt; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung
Abstract	This article aims to explore the possible causal relationship between loneliness and depression in college students. Two hundred and fifty-nine college students had been investigated four times in 2 years with UCLA and CES-D, and cross-lagged regression analysis was used. (1) there was a significant positive correlation between loneliness and depression of college students; (2) cross-lagged regression analysis showed that after controlling the related variables and the stability of variables themselves, loneliness, and depression could positively predict each other at points-in-time T1 and T2; Depression could significantly positively predict loneliness at points-in-time T2, T3, and T4. There is a bidirectional relationship between loneliness and depression of college students, and the effect of depression on loneliness is stronger than that of loneliness on depression. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01