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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier Ltd.
2022
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| 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 |