The Relationship Between Sleep Quality and Body Composition in Women: Findings from the PERSIAN Organizational Cohort Study

Background: Sleep disorders are more prevalent in women than in men, particularly among working women. Changes in body composition are associated with disturbances in sleep quality and quantity, which, in turn, diminish overall quality of life. Furthermore, evidence focusing specifically on the female workforce, who navigate unique occupational and domestic stressors, remains scarce.Objectives: The purpose of this study was to investigate the relationship between sleep quality and body composition in women referred to the PERSIAN Organizational Cohort Study in Mashhad, Iran.Methods: In the current cross-sectional study, ۷۶۰ women referred to the PERSIAN Organizational Cohort Study in Mashhad participated. Data were collected from the Pittsburgh Sleep Quality Questionnaire(PSQI) and body composition indicators were measured using the InBody۷۷۰ device. SPSS version ۲۵ was used to enter and analyze the data. Pearson and Spearman correlation coefficients were used to determine the relationship between variables.Results: The average age of the women was ۴۰.۶۸ ± ۵.۹۶, and the mean sleep quality score was ۴.۸۶ ± ۲.۳۷. ۲۵۶ women had sleep disorders (۳۴%). The results of Pearson's correlation coefficient showed that Body Mass Index (BMI) (P<۰.۰۰۱, r=۰.۱۴۶), Percentage of body fat (PBF) (P=۰.۰۰۷, r=۰.۰۹۹), Abdominal circumference (AC) (P<۰.۰۰۱, r=۰.۱۴۴), and Body fat mass (BFM) (P=۰.۰۰۲, r=۰.۱۱۳) had a significant relationship with sleep duration. BMI (P=۰.۰۰۱, r=۰.۱۱۹), PBF (P=۰.۰۰۳, r=۰.۱۰۸), Waist-Hip ratio (WHR) (P=۰.۰۳۱, r=۰.۰۸۰), AC (P=۰.۰۰۱, r=۰.۱۲۷), and BFM had significant relationships with sleep disturbances. BMI (P=۰.۰۳۷, r=۰.۰۷۷), AC (P=۰.۰۲۱, r=۰.۰۸۵), and BFM showed significant relationships with the total sleep quality score.Conclusion: The results showed that body composition indicators, such as body fat mass and body fat percentage, as well as BMI, PBF, WHR, AC, and BFM, an anthropometric index, are correlated with sleep quality. These results suggest that poor sleep quality is associated with higher anthropometric indices of obesity and highlight the importance of considering sleep hygiene as a potential factor in weight management programs for women in organizational settings.

کلیدواژه ها:

Sleep quality ، Body Composition ، body mass index ، Women