Relação entre gordura abdominal e nível de atividade fisica em participantes com distúrbios do sono avaliados por polissonografia

Abstract

Introduction: Sleep is an important physiological component for the maintenance of the individual’s emotional and physical state, and its alteration is currently considered a risk factor for obesity. The main consequence of sleep disorders is most often daytime fatigue, making it difficult to perform physical exercise. Some studies have observed that there is a strong relationship between abdominal fat and sleep disorders. Therefore, it is necessary to verify how the quality of sleep is related to the fat in the abdominal region, and if there is a relationship between these variables and the level of physical activity of these women. Methodology: This research has a quantitative, explanatory and transversal character. The evaluated participants were all female and had a diagnosis of sleep disorders assessed by Polysomnography. The tests performed: Anthropometric assessment, sleep quality questionnaire, physical activity level, nutritional survey, and body composition. For statistical analysis, the following were used: Quartiles, tau-Kendall correlation test, regression analysis, considering p<0.05 as significant. Results: The sample consisted of 13 participants with a mean age of 44 years (±12.20), body mass of 72.50 kg (±17.06), height: 1.64 m (±0.05), median of BMI of 30.57 kg/m², Abdominal Circumference 93.50 cm (±13.06), Pittsburgh median: 8. Strong (τ = 0.522) and significant (p<0.05) correlation between Pittsburgh and abdominal fat percentage, with a 43% influence on sleep quality. There was no significant correlation between the level of physical activity, abdominal fat and sleep quality, but there was a strong and direct and significant correlation between abdominal fat and sleep quality (p=0.017). Conclusion: Therefore, it is concluded that the level of physical activity of women with sleep disorders may be directly related to obesity and especially to abdominal fat. However, we are aware of the need to expand the sample and study other interfering variables in this process, in order to determine these findings more accurately.