Razavi Journal of Medicine

Razavi Journal of Medicine

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

Document Type : Original Article

Authors
1 School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.
2 Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
3 Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Abstract
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.
Keywords

Acknowledgments: Not applicable.


Availability of data and materials: The data supporting the current study's review findings are available from the corresponding author upon reasonable request.


Conflict of interest: The authors declare that they have no competing interests.


Funding:  This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors

.
Consent for publication: Not applicable.

Open Access Policy: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/


Ethics approval and consent to participate: This research project, in accordance with the Declaration of Helsinki, was approved by the PERSIAN Organizational Cohort Study in Mashhad and the Ethics Committee of Mashhad University of Medical Sciences, Mashhad, Iran (the ethics code IR.MUMS.NURSE.REC.1400.066), and written informed consent was obtained from all participants.


Authors' contributions: Conception and design: MS and FZK, Literature search, Data acquisition, Analysis: MS and FZK, Interpretation of data and drafting the manuscript: MS and FZK, Critical revision of the manuscript: MS and FZK 

Open Access Policy: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/

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