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Braz. J. Psychiatry (São Paulo, 1999, Impr.) ; 42(1): 54-62, Jan.-Feb. 2020. tab, graf
Artículo en Inglés | LILACS | ID: biblio-1055351

RESUMEN

Objective: Although studies have shown an association between poor sleep and chronotype with psychiatric problems in young adults, few have focused on identifying multiple concomitant risk factors. Methods: We assessed depressive symptoms (Beck Depression Inventory [BDI]), circadian typology (Morningness-Eveningness Questionnaire [MEQ]), sleep quality (Pittsburgh Sleep Quality Index [PSQI]), perceived stress (Perceived Stress Scale [PSS]), social rhythm (Social Rhythm Metrics [SRM]), and salivary cortisol (morning, evening and night, n=37) in 236 men (all 18 years old). Separate analyses were conducted to understand how each PSQI domain was associated with depressive symptoms. Results: Depressive symptoms were more prevalent in individuals with higher perceived stress (prevalence ratio [PR] = 6.429, p < 0.001), evening types (PR = 2.58, p < 0.001) and poor sleepers (PR = 1.808, p = 0.046). Multivariate modeling showed that these three variables were independently associated with depressive symptoms (all p < 0.05). The PSQI items subjective sleep quality and sleep disturbances were significantly more prevalent in individuals with depressive symptoms (PR = 2.210, p = 0.009 and PR = 2.198, p = 0.008). Lower levels of morning cortisol were significantly associated with higher depressive scores (r = -0.335; p = 0.043). Conclusion: It is important to evaluate multiple factors related to sleep and chronotype in youth depression studies, since this can provide important tools for comprehending and managing mental health problems.


Asunto(s)
Humanos , Masculino , Adolescente , Trastornos del Sueño-Vigilia/psicología , Estrés Psicológico/psicología , Hidrocortisona/análisis , Trastornos Cronobiológicos/psicología , Depresión/etiología , Personal Militar/psicología , Escalas de Valoración Psiquiátrica , Valores de Referencia , Saliva/metabolismo , Sueño/fisiología , Factores de Tiempo , Análisis Multivariante , Factores de Riesgo , Análisis de Varianza , Estadísticas no Paramétricas , Depresión/metabolismo , Autoinforme
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