Peruvians’ sleep duration: analysis of a population-based survey on adolescents and adults
- Published
- Accepted
- Subject Areas
- Epidemiology, Global Health, Public Health
- Keywords
- Sleep, Peru, Cross-Sectional Studies, Sleep Deprivation, Sleep Duration, Time-Use Studies, Socioeconomic Factors
- Copyright
- © 2013 Carrillo-Larco et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Cite this article
- 2013. Peruvians’ sleep duration: analysis of a population-based survey on adolescents and adults. PeerJ PrePrints 1:e166v1 https://doi.org/10.7287/peerj.preprints.166v1
Abstract
Sleep duration, either short or long, has been associated with diseases such as obesity, type-2 diabetes and cardiovascular diseases. Characterizing the prevalence and patterns of sleep duration at the population-level, especially in resource-constrained settings, will provide informative evidence on a potentially modifiable risk factor. The aim of this study was to explore the patterns of sleep duration in the Peruvian adult and adolescent population, together with its socio-demographic profile. This is a cross-sectional study, secondary analysis of the Use of Time National Survey conducted in 2010. Weighted means and proportions were used to describe sleep duration according to socio-demographic variables. Poisson regressions, taking into account the multistage sampling design of the survey, were used to calculate crude and adjusted prevalence ratios (PR) and 95% confidence intervals (95% CI). Main outcomes were short- (<6 hours) and long-sleep duration (≥9 hours). A total of 12,424 observations, mean age 35.8 years (SD ±17.7), 50.6% males, were included in the analysis. On average, Peruvians slept 7.7 hours (95% CI 7.4-8.0) on weekdays and 8.0 hours (95% CI 7.8-8.1) during weekends. The proportions of short- and long-sleep, during weekdays, were 4.3% (95% CI 2.9%-6.3%) and 22.4% (95% CI 14.9%-32.1%), respectively. Regarding urban and rural areas, a much higher proportion of short-sleep was observed in the former. On the multivariable analysis, compared to regular-sleepers (≥6 to <9 hours), short-sleepers were twice more likely to be older and to have higher educational status, and 50% more likely to be currently employed. Similarly, relative to regular-sleep, long-sleepers were more likely to have a lower socioeconomic status as per educational attainment. In this nationally representative sample, the sociodemographic profile of short-sleep contrasts the long-sleep. These scenarios in Peru, as depicted by sleeping duration, differ from patterns reported in other high-income settings and could serve as the basis to inform and to improve sleep habits in the population.