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10.3389/fpsyg.2021.648368 http://scihub22266oqcxt.onion/10.3389/fpsyg.2021.648368 33859599!8042211!33859599     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33859599&cmd=llinks): Failed to open stream: HTTP request failed! 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Resilience Predicts the Trajectories of College Students Daily Emotions During COVID-19: A Latent Growth Mixture Model |pdf=|usr=}}{{33859599}} gab.com Text Resilience Predicts the Trajectories of College Students Daily Emotions During COVID-19: A Latent Growth Mixture Model JO: Front Psychol http://www.kidney.de/pget.php?&tw=1&pmid=33859599 #FOAvip 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. Twit Text FOAVip Resilience Predicts the Trajectories of College Students Daily Emotions During COVID-19: A Latent Growth Mixture Model ????Front Psychol http://www.kidney.de/pget.php?&tw=1&pmid=33859599 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33859599 #FOAvip English Wikipedia <ref>{{Cite pmid|33859599}}</ref> Resilience Predicts the Trajectories of College Students Daily Emotions During COVID-19: A Latent Growth Mixture Model #MMPMID33859599 Zhang L; Wang L; Liu Y; Zhang J; Zhang X; Zhao J Front Psychol 2021[]; 12 (ä): 648368 PMID33859599show ga 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. äResilience Predicts the Trajectories of College Students Daily Emotio(epmc).pdf DeepDyve Pubget Overpricing