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Disentangling the effects of insomnia and night work on cardiovascular diseases: a study in nursing professionals
Cardiovascular diseases (CVDs) are known to be associated with poor sleep quality in general populations, but they have not been consistently associated with specific work schedules. Studies of CVD generally do not simultaneously consider sleep and work schedules, but that approach could help to dis...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Brasileira de Divulgação Científica
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4321217/ https://www.ncbi.nlm.nih.gov/pubmed/25424370 http://dx.doi.org/10.1590/1414-431X20143965 |
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author | Silva-Costa, A. Griep, R.H. Rotenberg, L. |
author_facet | Silva-Costa, A. Griep, R.H. Rotenberg, L. |
author_sort | Silva-Costa, A. |
collection | PubMed |
description | Cardiovascular diseases (CVDs) are known to be associated with poor sleep quality in general populations, but they have not been consistently associated with specific work schedules. Studies of CVD generally do not simultaneously consider sleep and work schedules, but that approach could help to disentangle their effects. We investigated the association between insomnia and a self-reported physician diagnosis of CVD in day and night workers, considering all sleep episodes during nocturnal and diurnal sleep. A cross-sectional study was conducted in 1307 female nursing professionals from 3 public hospitals, using baseline data from the “Health and Work in Nursing - a Cohort Study.” Participants were divided into two groups: i) day workers with no previous experience in night shifts (n=281) and whose data on insomnia were related to nocturnal sleep and ii) those who worked exclusively at night (n=340) and had data on both nocturnal and diurnal sleep episodes, as they often sleep at daytime. Multiple logistic regression analysis was performed. Among day workers, insomnia complaints increased the odds of CVD 2.79-fold (95% CI=1.01-6.71) compared with workers who had no complaints. Among night workers, reports of insomnia during both nocturnal and diurnal sleep increased the odds of reported CVD 3.07-fold (95% CI=1.30-7.24). Workers with insomnia had similar probabilities of reporting CVD regardless of their work schedule, suggesting a relationship to insomnia and not to night work per se. The results also highlighted the importance of including evaluation of all sleep episodes (diurnal plus nocturnal sleep) for night workers. |
format | Online Article Text |
id | pubmed-4321217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Associação Brasileira de Divulgação Científica |
record_format | MEDLINE/PubMed |
spelling | pubmed-43212172015-02-24 Disentangling the effects of insomnia and night work on cardiovascular diseases: a study in nursing professionals Silva-Costa, A. Griep, R.H. Rotenberg, L. Braz J Med Biol Res Biomedical Sciences Cardiovascular diseases (CVDs) are known to be associated with poor sleep quality in general populations, but they have not been consistently associated with specific work schedules. Studies of CVD generally do not simultaneously consider sleep and work schedules, but that approach could help to disentangle their effects. We investigated the association between insomnia and a self-reported physician diagnosis of CVD in day and night workers, considering all sleep episodes during nocturnal and diurnal sleep. A cross-sectional study was conducted in 1307 female nursing professionals from 3 public hospitals, using baseline data from the “Health and Work in Nursing - a Cohort Study.” Participants were divided into two groups: i) day workers with no previous experience in night shifts (n=281) and whose data on insomnia were related to nocturnal sleep and ii) those who worked exclusively at night (n=340) and had data on both nocturnal and diurnal sleep episodes, as they often sleep at daytime. Multiple logistic regression analysis was performed. Among day workers, insomnia complaints increased the odds of CVD 2.79-fold (95% CI=1.01-6.71) compared with workers who had no complaints. Among night workers, reports of insomnia during both nocturnal and diurnal sleep increased the odds of reported CVD 3.07-fold (95% CI=1.30-7.24). Workers with insomnia had similar probabilities of reporting CVD regardless of their work schedule, suggesting a relationship to insomnia and not to night work per se. The results also highlighted the importance of including evaluation of all sleep episodes (diurnal plus nocturnal sleep) for night workers. Associação Brasileira de Divulgação Científica 2014-11-21 /pmc/articles/PMC4321217/ /pubmed/25424370 http://dx.doi.org/10.1590/1414-431X20143965 Text en http://creativecommons.org/licenses/by-nc/3.0/ 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 | Biomedical Sciences Silva-Costa, A. Griep, R.H. Rotenberg, L. Disentangling the effects of insomnia and night work on cardiovascular diseases: a study in nursing professionals |
title | Disentangling the effects of insomnia and night work on cardiovascular
diseases: a study in nursing professionals |
title_full | Disentangling the effects of insomnia and night work on cardiovascular
diseases: a study in nursing professionals |
title_fullStr | Disentangling the effects of insomnia and night work on cardiovascular
diseases: a study in nursing professionals |
title_full_unstemmed | Disentangling the effects of insomnia and night work on cardiovascular
diseases: a study in nursing professionals |
title_short | Disentangling the effects of insomnia and night work on cardiovascular
diseases: a study in nursing professionals |
title_sort | disentangling the effects of insomnia and night work on cardiovascular
diseases: a study in nursing professionals |
topic | Biomedical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4321217/ https://www.ncbi.nlm.nih.gov/pubmed/25424370 http://dx.doi.org/10.1590/1414-431X20143965 |
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