| Title: | The association between age at menopause and circadian syndrome: a study based on the UK Biobank |
| Journal: | BMC Public Health |
| Published: | 29 Apr 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/42057019/ |
| DOI: | https://doi.org/10.1186/s12889-026-27424-y |
| URL: | http://dx.doi.org/10.1186/s12889-026-27424-y |
Publication 17805
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Abstract
AimTo investigate the association between age at menopause and prevalent circadian syndrome, a construct integrating metabolic dysfunction with circadian rhythm disruption and depressive symptoms.MethodsThis cross-sectional analysis included 112,918 women with natural menopause from the UK Biobank. Age at menopause was categorized as < 40 years, 40-44 years, 45-49 years, 50-54 years (reference), and ≥ 55 years. Circadian syndrome was defined as the presence of at least four of seven components: reduced high-density lipoprotein cholesterol, elevated triglycerides, elevated waist circumference, hyperglycemia, elevated blood pressure, short sleep, and depression. Missing covariate data were handled using multiple imputation by chained equations. Multivariable logistic regression models were used to evaluate the associations of age at menopause with circadian syndrome and its individual components, and restricted cubic spline analyses were performed to assess the dose-response relationship.ResultsAmong 112,918 participants, 19,730 (17.47%) had circadian syndrome. Compared with menopause at 50-54 years, the adjusted odds ratios (ORs) for circadian syndrome were (OR 1.52, 95% CI 1.37-1.68) for menopause before 40 years, (OR 1.24, 95% CI 1.17-1.31) for 40-44 years, (OR 1.06, 95% CI 1.02-1.10) for 45-49 years, and (OR 1.16, 95% CI 1.11-1.21) for ≥ 55 years. Restricted cubic spline analyses showed a significant non-linear association between age at menopause and circadian syndrome (P for overall association < 0.001; P for non-linearity < 0.001). In component-specific analyses, premature menopause showed the strongest associations with short sleep (OR 1.55, 95% CI 1.34-1.79), depression (OR 1.41, 95% CI 1.26-1.57), reduced high-density lipoprotein cholesterol (OR 1.39, 95% CI 1.27-1.53), and elevated triglycerides (OR 1.38, 95% CI 1.27-1.50). Subgroup analyses suggested interactions by smoking status and age at menarche. Findings were largely consistent in complete-case and HRT-adjusted sensitivity analyses.ConclusionAge at menopause was non-linearly associated with the odds of prevalent circadian syndrome in this cross-sectional study. The association was strongest for premature menopause, while later menopause was also associated with modestly higher odds. Future prospective studies are needed to clarify the temporal relationships between menopause timing and circadian syndrome, and to determine which components drive the observed associations.</p>
9 Authors
- Tianyuan Su
- Lu Ding
- Zhiyi Wei
- Zhen Chen
- Lu Liu
- Xue Li
- Zhongyan Lian
- Ruxianguli Aimuzi
- Rong Li
1 Application
| Application ID | Title |
|---|---|
| 540454 | Mediating effects of plasma proteomic biomarkers on the associations between sleep patterns and chronic diseases. |
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