Mashhad Razavi Hospital Razavi Journal of Medicine 3115-753X Articles in Press 2026 06 06 The Relationship Between Sleep Quality and Body Composition in Women: Findings from the PERSIAN Organizational Cohort Study 118633 10.30483/rjm.2026.254735.1493 EN Maryam Salehian School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran. Mahboobeh Abdollahi Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. Fatemeh Zahra Karimi Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. Journal Article 2026 03 22 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, 760 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 InBody770 device. SPSS version 25 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 40.68 ± 5.96, and the mean sleep quality score was 4.86 ± 2.37. 256 women had sleep disorders (34%). The results of Pearson's correlation coefficient showed that Body Mass Index (BMI) (P<0.001, r=0.146), Percentage of body fat (PBF) (P=0.007, r=0.099), Abdominal circumference (AC) (P<0.001, r=0.144), and Body fat mass (BFM) (P=0.002, r=0.113) had a significant relationship with sleep duration. BMI (P=0.001, r=0.119), PBF (P=0.003, r=0.108), Waist-Hip ratio (WHR) (P=0.031, r=0.080), AC (P=0.001, r=0.127), and BFM had significant relationships with sleep disturbances. BMI (P=0.037, r=0.077), AC (P=0.021, r=0.085), 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.

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