resilience predicts the trajectories of college students apos daily emotions during CORD-Papers-2021-10-25 (Version 1)

Title: Resilience Predicts the Trajectories of College Students' Daily Emotions During COVID-19: A Latent Growth Mixture Model
Abstract: The objective of this study was to examine the association between resilience and trajectories of college students' negative and positive affect during the COVID-19 pandemic A total of 391 college students recruited from China completed a daily online negative and positive affect scale for 1 week, and their resilience was also measured Profiles of brief trajectories of negative and positive affect over time were identified using the latent growth mixture model, and the effect of resilience on these trajectories was further explored Two latent profiles of negative affect were found: a constant high negative affect profile and a slowly decreasing low negative affect profile, while three latent profiles of positive affect were identified: a slowly increasing high positive affect profile, a rapidly decreasing medium positive affect profile, and a constant medium positive affect profile The optimism dimension of resilience predicted the membership in the various profiles significantly, whereas the prediction of tenacity and strength dimensions of resilience was not significant Activities that promote resilience, especially optimism, should be included to improve the daily emotions of college students during COVID-19
Published: 2021
Journal: Frontiers in Psychology
Author Name: Zhang, L
Author link: https://covid19-data.nist.gov/pid/rest/local/author/zhang_l
Author Name: Wang, L
Author link: https://covid19-data.nist.gov/pid/rest/local/author/wang_l
Author Name: Liu, Y
Author link: https://covid19-data.nist.gov/pid/rest/local/author/liu_y
Author Name: Zhang, J
Author link: https://covid19-data.nist.gov/pid/rest/local/author/zhang_j
Author Name: Zhang, X
Author link: https://covid19-data.nist.gov/pid/rest/local/author/zhang_x
Author Name: Zhao, J
Author link: https://covid19-data.nist.gov/pid/rest/local/author/zhao_j
license: unk
license_url: [unknown license]
source_x: WHO
source_x_url: https://www.who.int/
who_covidence_id: #1190337
has_full_text: FALSE
G_ID: resilience_predicts_the_trajectories_of_college_students_apos_daily_emotions_during
S2 ID: 232413250