Original ArticleAssociation between body mass index and sleep duration assessed by objective methods in a representative sample of the adult population
Introduction
The prevalence of overweight and obese individuals has been increasing worldwide during the recent decades [1]. Increased body weight is associated with psychosocial problems, low self-esteem, increased cardiovascular morbidity and type 2 diabetes mellitus. National surveys in the United States have shown a decline in self-reported sleep duration over the past 50 years by 1.5 to 2 hours [2], which is attributable to changes in lifestyle [3]. In addition, most studies have reported an association between sleep reduction and health concerns, including chronic conditions such as, type 2 diabetes mellitus, hypertension, and obesity [4]. These studies show an association between short sleep duration and increased BMI, which has potential implications for the understanding of weight homeostasis in children and adults. The relationship between short sleep and weight occurs even more consistently in children and young adults than in the elderly population [5], [6]. However, due to the differences in the methodology and target populations, the strength of this association is still debated. Most studies have assessed sleep duration by subjective methods and even when more objective and accurate methodologies were used; the population studied was not representative of the entire population [7]. In addition, the use of different methods to measure weight and other anthropometric variables may have contributed to inconsistent results [8]. Despite the differences in the target population, the methods used to assess sleep duration, and the anthropometric measures, there is growing evidence that confirms the association between sleep duration and BMI. To date, there have been no representative studies of the general population that assess sleep through actigraphy (Acti) and polysomnography (PSG). Given previous research, we hypothesized that there is an association between short sleep duration and BMI that is observed when objective sleep measures are utilized. The objective of our study is thus, to evaluate the association between body mass parameters and sleep duration measured by objective methods such as Acti and PSG in a representative sample of the Sao Paulo Epidemiologic Study cohort.
Section snippets
Population
Our study is a component of a larger Sao Paulo Epidemiologic Sleep Study. The detailed methodology of the Sao Paulo Epidemiologic Sleep Study including the sampling procedures has already been described [9]. Datafolha Research Institute carried out the selection of a representative sample of the city of Sao Paulo, Brazil, from both genders and all ethnicities which included 1056 volunteers [9]. The study protocol was approved by the Ethics Committee for Research of the Universidade Federal de
Gender, anthropometric measures and sleep variables
Gender, anthropometric measures, and sleep variables are shown in Table 1. Our sample consisted of 468 men and 574 women. Women were significantly older than men. Neck and waist circumferences were significantly larger in men compared to women. On average, women slept more than men when sleep duration was measured by Acti. Differences were not found between genders when sleep duration was measured by either PSG or the PSQIQ. Polysomnographic quotient was not significantly different between
Discussion
Our study adds to the literature the inclusion of a representative sample of the adult population whose sleep parameters were assessed by objective methods including PSG and Acti. Most previous studies have shown an association between short sleep duration and higher BMI, though most of them lacked objective measures of sleep duration and had population selection biases [13], [7]. Another potential concern when comparing studies evaluating limited sleep is the lack of standard cutoff values for
Disclosure statement
All the authors have read and approved the manuscript and have nothing to disclose.
Conflict of Interest
The ICMJE Uniform Disclosure Form for Potential Conflicts of Interest associated with this article can be viewed by clicking on the following link: http://dx.doi.org/10.1016/j.sleep.2012.11.010.
Acknowledgments
Supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), Associação Fundo de Incentivo à Psicofarmacologia (AFIP) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
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