A latent class analysis of hopelessness in relation to depression and trauma during the COVID-19 pandemic in China

Abstract

Background: Hopelessness is closely related to depression, trauma, and some organic diseases. Yet our understanding of the heterogeneity of hopelessness is limited. This study aimed to explore the heterogeneity of hopelessness, how it corresponds to the severity of depression, and the effect of traumatic experiences on it during COVID-19.

Method: The current study measures 28,360 Chinese college students (67.4 % of women) with the Beck Hopelessness Scale (BHS), Trauma Experience Questionnaire, and Patient Health Questionnaire-9 (PHQ-9). The method of latent class analysis (LCA) was used to identify different sub-groups of hopelessness with differences in emotion, motivation, and cognition. Logistic regression and analysis of variance were used to determine the characteristics of different sub-groups.

Results: Three latent classes were identified: Negative affective cognition class (C1, N = 5940, 20.9 %), Negative thought cognition class (C2, N = 1358, 4.8 %), and Low hopelessness class (C3, N = 21,062, 74.3 %). Gender, only child or not, birthplace, family economic status, and grade are predictors of the latent category of hopelessness. There are significant differences in depression among different latent classes, and C1 > C2 > C3 (p < 0.001). Traumatic experience is a risk factor for the hopeless latent classes (OR > 1, P < 0.001).

Limitations: Research findings may not be applied to other populations and rely on subjective reports. Ignore the effects of other protective and risk factors. Lack of longitudinal research, unable to explore causality.

Conclusions: The current study provides evidence for the heterogeneity of hopelessness and informs targeted interventions for mental health problems (hopelessness) in college students.

Keywords: Depression; Hopelessness; Latent class analysis; Trauma.

Fig. 1

Response patterns for latent classes.