Open Access
CC BY-NC-ND 4.0 · Sleep Sci 2023; 16(01): 051-058
DOI: 10.1055/s-0043-1767755
Original Article

Multimorbidity and Sleep Patterns among Adults in a Peruvian Semi-Urban Area

Universidad Científica del Sur, Facultad de Ciencias de la Salud, Lima, Lima, Peru
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Universidad Científica del Sur, Facultad de Ciencias de la Salud, Lima, Lima, Peru
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Universidad Científica del Sur, Facultad de Ciencias de la Salud, Lima, Lima, Peru
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Abstract

Objective To assess if the duration and quality of sleep vary due to the presence of multimorbidity.

Materials and Methods We performed a secondary analysis using data from a population-based study involving adult subjects aged between 30 and 69 years residing in a semi-urban area of Tumbes, Peru. The duration (normal, short or prolonged) and quality (good or poor) of sleep were our outcome variables, whereas the exposure was multimorbidity (two or more chronic conditions). Crude and adjusted Poisson regression models were built to assess the association of interest, and prevalence ratios (PRs) and 95% confidence intervals (95%CIs) were reported.

Results We analyzed data from 1,607 subjects with a mean age of 48.2 (standard deviation [SD]: ± 10.6) years, 809 (50.3%) of whom were women. Multimorbidity was present in 634 (39.5%; 95%CI: 37.1–41.9%) subjects, and 193 (12.1%; 95%CI: 10.5–13.7%) were short sleepers, 131 (8.2%; 95%CI: 6.9–9.6%) were long sleepers, and 312 (19.5%; 95%CI: 17.5–21.5%) had poor sleep quality. In the multivariable model, multimorbidity was associated with prolonged sleep duration (PR = 1.45; 95%CI: 1.03–2.04) and poor sleep quality (PR = 2.04; 95%CI: 1.65–2.52).

Conclusions Multimorbidity was associated with prolonged, but not short, sleep duration, as well as with poor sleep quality. Our results suggest the need of assessing sleep patterns among adults with multimorbidity.



Publication History

Received: 08 February 2022

Accepted: 12 July 2022

Article published online:
19 April 2023

© 2023. Brazilian Sleep Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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