| Literature DB >> 34142597 |
Hai-Ping Liao1, Xiao-Fu Pan1, Xue-Qin Yin1, Ya-Fei Liu1, Jie-Yang Li1, Jin-Liang Wang1.
Abstract
Data from a longitudinal questionnaire investigation of three time waves were used to investigate affective and behavioral changes and their covariant relationship among Chinese general population during the COVID-19 pandemic from March to May 2020. 145 participants aging from 15 to 63 completed three waves of survey. Latent growth curve analyses found that negative affect gradually increased as the pandemic continued. A faster increase in negative affect was related to a greater decrease in adaptive behavior and faster increase in non-adaptive behavior. A higher initial level of negative affect was related to a slower increase in non-adaptive behavior.Entities:
Keywords: COVID-19; adaptive behavior; multivariate latent growth curve model; negative affect; temporal self-regulation theory
Mesh:
Year: 2021 PMID: 34142597 DOI: 10.1177/13591053211021651
Source DB: PubMed Journal: J Health Psychol ISSN: 1359-1053