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. 2025 Jul 11;18(1):148.
doi: 10.1186/s13048-025-01730-2.

Late bedtime was associated with increased androgen and reduced lean mass in women with polycystic ovary syndrome: a cross-sectional study

Affiliations

Late bedtime was associated with increased androgen and reduced lean mass in women with polycystic ovary syndrome: a cross-sectional study

Yuqin Zhang et al. J Ovarian Res. .

Abstract

Background: While the specific effects of bedtime on androgen levels and lean muscle mass remain understudied, circadian misalignment and sleep disturbances have been well-established as risk factors for various metabolic disorders. The present study aimed to investigate the relationship between bedtime, androgen-associated traits, and dual-energy X-ray absorptiometry (DEXA)-based lean mass (LM) in polycystic ovary syndrome (PCOS).

Methods: This cross-sectional study recruited 899 reproductive-aged women with PCOS from the PCOS subspecialty clinic at Shanghai Tenth People's Hospital, and finally, 636 women were included in the study. Anthropometric, metabolic, sex and reproductive hormonal characteristics, and body fat and lean composition measured by DEXA were collected. The information on bedtime was adapted from the Pittsburgh Sleep Quality Index, and bedtime was categorized into three aspects: early bedtime (≤ 23:00), intermediate bedtime (> 23:00 to 24:00), and late bedtime (> 24:00) according to the time of falling asleep.

Results: The study included 636 women with PCOS (mean age 27.50 ± 4.93 years; mean body mass index [BMI] 25.00 ± 5.46 kg/m²), with 24.4% having early bedtime (≤ 23:00), 36.8% intermediate bedtime (> 23:00 to 24:00), and 38.8% late bedtime (> 24:00). After adjusting for age in covariance analysis, the late bedtime group had fewer annual menstrual cycles and higher total testosterone (TT), and the intermediate bedtime group had higher anti-Müllerian hormone (AMH) than the early bedtime group. Compared with the early and intermediate bedtime groups, those with late bedtime had higher androstenedione (AD) levels. After controlling possible confounding factors (age, BMI, homeostasis model assessment of insulin resistance, alanine aminotransferase, triglyceride, and serum uric acid), multiple liner regression analysis found that compared with early bedtime, late bedtime was independently associated with higher levels of TT and AD, meanwhile, intermediate bedtime was independently associated with higher levels of AMH. Following further adjustment for the above confounders and TT, late bedtime was independently correlated to reduced muscle mass index and appendicular muscle mass index compared with early bedtime.

Conclusion: This study provided novel insight that late bedtime (after 24:00) was independently related to elevated androgenic hormones and reduced LM in individuals with PCOS.

Keywords: Androgen; Bedtime; Lean mass; Polycystic ovary syndrome; Sleep.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: The study protocol was approved by the Ethics Committee of Shanghai Tenth People’s Hospital (approve number: SHSY-IEC-4.1/21–227/01). The data presented includes participants from our observational study (NCT05063383). All participants in this study signed the informed consent form. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flow diagram. PCOS, polycystic ovary syndrome; DEXA, dual-energy X-ray absorptiometry
Fig. 2
Fig. 2
Sex and reproductive hormonal characteristics of the patients with PCOS stratified by the bedtime category. *p-values represented the results after adjustment for age. ANCOVA, analysis of covariance; LH, luteinizing hormone; FSH, follicle-stimulating hormone; TT, total testosterone; FT, free testosterone; AD, androstenedione; DHEA, dehydroepiandrosterone sulfate; SHBG, sex hormone-binding globulin; AMH, anti-Müllerian hormone
Fig. 3
Fig. 3
Body composition of the patients with PCOS stratified by the bedtime category. *p-values represented the results after adjustment for age. ANCOVA, analysis of covariance; FM, fat mass; App FM, appendicular fat mass; LM, lean mass; LM/height2, Lean mass index; AppLM/height2, appendicular lean mass index

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