Sleep profiles as a longitudinal predictor for depression magnitude and variability following the onset of COVID-19

The coronavirus disease 2019 (COVID-19) has disrupted multiple domains of life including sleep. The present study used a longitudinal dataset (N = 671) and a person-centered analytic approach – latent profile analysis (LPA) – to elucidate the relationship between sleep and depression. We used LPA to...

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Detalles Bibliográficos
Autores principales: Bi, Kaiwen, Chen, Shuquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748309/
https://www.ncbi.nlm.nih.gov/pubmed/35038620
http://dx.doi.org/10.1016/j.jpsychires.2022.01.024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748309/
https://www.ncbi.nlm.nih.gov/pubmed/35038620
http://dx.doi.org/10.1016/j.jpsychires.2022.01.024

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