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Clinical evaluation of biological rhythm domains in patients with major depression
OBJECTIVE: Sleep, physical activity, and social domains of biological rhythm disruptions may have specific effects on the symptom cluster and severity of depression. However, there is a lack of structured clinical evaluation to specify the domains of biological rhythms in patients with depression. M...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Brasileira de Psiquiatria, ABP
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236150/ https://www.ncbi.nlm.nih.gov/pubmed/32022159 http://dx.doi.org/10.1590/1516-4446-2019-0570 |
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author | Ozcelik, Mine Sahbaz, Cigdem |
author_facet | Ozcelik, Mine Sahbaz, Cigdem |
author_sort | Ozcelik, Mine |
collection | PubMed |
description | OBJECTIVE: Sleep, physical activity, and social domains of biological rhythm disruptions may have specific effects on the symptom cluster and severity of depression. However, there is a lack of structured clinical evaluation to specify the domains of biological rhythms in patients with depression. METHODS: Ninety drug-naïve subjects with depression and 91 matched healthy controls were recruited for the study. The severity of depression was examined with the Hamilton Rating Scale for Depression (HRSD), while biological rhythm was evaluated using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN). RESULTS: Patients with depression showed significantly greater biological rhythm disturbances than healthy controls in all domains of BRIAN (sleep, activity, social, and eating). BRIAN-Total correlated positively with HRSD-Total and HRSD-Total without sleep cluster. The sleep and activity domains correlated significantly with HRSD-Total score. Additionally, the sleep, activity, and social domains correlated significantly with HRSD-Total without the sleep cluster score. Regression analysis revealed the activity (β = 0.476, t = 5.07, p<0.001) and sleep (β = 0.209, t = 2.056, p = 0.043) domains may predict HRSD-Total score. CONCLUSION: Consideration of biological rhythm domains in clinical examination and focusing on the sleep and activity domains may hold promise for the management of depression. |
format | Online Article Text |
id | pubmed-7236150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Associação Brasileira de Psiquiatria, ABP |
record_format | MEDLINE/PubMed |
spelling | pubmed-72361502020-05-19 Clinical evaluation of biological rhythm domains in patients with major depression Ozcelik, Mine Sahbaz, Cigdem Braz J Psychiatry Original Article OBJECTIVE: Sleep, physical activity, and social domains of biological rhythm disruptions may have specific effects on the symptom cluster and severity of depression. However, there is a lack of structured clinical evaluation to specify the domains of biological rhythms in patients with depression. METHODS: Ninety drug-naïve subjects with depression and 91 matched healthy controls were recruited for the study. The severity of depression was examined with the Hamilton Rating Scale for Depression (HRSD), while biological rhythm was evaluated using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN). RESULTS: Patients with depression showed significantly greater biological rhythm disturbances than healthy controls in all domains of BRIAN (sleep, activity, social, and eating). BRIAN-Total correlated positively with HRSD-Total and HRSD-Total without sleep cluster. The sleep and activity domains correlated significantly with HRSD-Total score. Additionally, the sleep, activity, and social domains correlated significantly with HRSD-Total without the sleep cluster score. Regression analysis revealed the activity (β = 0.476, t = 5.07, p<0.001) and sleep (β = 0.209, t = 2.056, p = 0.043) domains may predict HRSD-Total score. CONCLUSION: Consideration of biological rhythm domains in clinical examination and focusing on the sleep and activity domains may hold promise for the management of depression. Associação Brasileira de Psiquiatria, ABP 2020-01-31 /pmc/articles/PMC7236150/ /pubmed/32022159 http://dx.doi.org/10.1590/1516-4446-2019-0570 Text en http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Ozcelik, Mine Sahbaz, Cigdem Clinical evaluation of biological rhythm domains in patients with major depression |
title | Clinical evaluation of biological rhythm domains in patients with major depression |
title_full | Clinical evaluation of biological rhythm domains in patients with major depression |
title_fullStr | Clinical evaluation of biological rhythm domains in patients with major depression |
title_full_unstemmed | Clinical evaluation of biological rhythm domains in patients with major depression |
title_short | Clinical evaluation of biological rhythm domains in patients with major depression |
title_sort | clinical evaluation of biological rhythm domains in patients with major depression |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236150/ https://www.ncbi.nlm.nih.gov/pubmed/32022159 http://dx.doi.org/10.1590/1516-4446-2019-0570 |
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