Resilience Predicts the Trajectories of College Students’ Daily Emotions During COVID-19: A Latent Growth Mixture Model

• DOI: 10.3389/fpsyg.2021.648368
• Publication Date: 2021-03-30T05:21:18Z
• Authors: Li Zhang; Lei Wang; Yuan Liu; Junyi Zhang; Xiaoying Zhang; Jingxin Zhao
• Keywords: Affect; Resilience

The objective of this study was to examine the association between resilience and trajectories college students’ negative positive affect during COVID-19 pandemic. A total 391 students recruited from China completed a daily online scale for 1 week, their also measured. Profiles brief over time were identified using latent growth mixture model, effect on these further explored. Two profiles found: constant high profile slowly decreasing low profile, while three identified: increasing rapidly medium profile. optimism dimension predicted membership in various significantly, whereas prediction tenacity strength dimensions not significant. Activities that promote resilience, especially optimism, should be included improve emotions COVID-19.