Evidence map›Paper›PMID 42736746›Full record

ArticleMedicine2026

Association between female hormone intake and circadian syndrome: A cross-sectional study based on NHANES 2005-2018.

Zhiqin Ding, Hongqin Ding, Hao Wu, Dan Zheng, Yucheng Liu, Wei Wang, Weifu Xiong

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhiqin DingThe Third Affiliated Hospital of Nanchang University (The First Hospital of Nanchang), Nanchang, Jiangxi, China.
Hongqin DingHospital of Jiangxi Provincial Corps, Chinese People's Armed Police Force, Nanchang, Jiangxi, China.
Hao WuSchool of Public Health, Nanchang University, Nanchang, Jiangxi, China.
Dan ZhengThe Third Affiliated Hospital of Nanchang University (The First Hospital of Nanchang), Nanchang, Jiangxi, China.
Yucheng LiuThe Third Affiliated Hospital of Nanchang University (The First Hospital of Nanchang), Nanchang, Jiangxi, China.
Wei WangNanchang University, Nanchang, Jiangxi, China.
Weifu XiongThe Third Affiliated Hospital of Nanchang University (The First Hospital of Nanchang), Nanchang, Jiangxi, China.ORCID 0009-0006-8666-4431

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian syndrome (CircS) is a newly identified condition that extends the concept of metabolic syndrome (MetS) by incorporating short sleep duration and depression, comprising 7 components. Although the interactions between female hormones and the circadian system have been documented, the exact relationship between hormonal factors and CircS requires further investigation. Data from the National Health and Nutrition Examination Survey spanning 2005 to 2018 were analyzed. A total of 7279 nonpregnant women aged ≥ 20 years were included. Weighted logistic regression was employed to assess the association between female hormone intake and CircS. Additionally, restricted cubic spline regression was utilized to investigate the nonlinear relationships of age and body mass index (BMI) with CircS. Subgroup analyses were conducted to evaluate the consistency of these associations. The weighted prevalence of CircS was 54.4%. In the fully adjusted model, female hormone intake was significantly associated with increased odds of CircS, with an odds ratio (OR) of 1.47 and a 95% confidence interval (CI) ranging from 1.20 to 1.80 (P < .001). Restricted cubic spline analysis identified significant nonlinear associations between age and BMI with CircS (P < .001), with inflection points at 61.0 years and 29.9 kg/m2, respectively. For individuals aged < 61.0 years, each additional year was associated with an 8% increase in the risk of CircS (OR = 1.08, P < .001); beyond this age, the risk continued to rise, albeit more slowly (OR = 1.02, P = .005). Regarding BMI, for values ≤ 29.9 kg/m2, each additional unit was associated with a 33% increase in risk (OR = 1.33, P < .001), whereas an 8% increase in risk was observed beyond this threshold (OR = 1.08, P < .001). Subgroup analyses showed consistent associations across all strata (all P for interaction > .05). Female hormone intake is independently associated with an increased risk of CircS. Age and BMI exhibited nonlinear associations with CircS, with inflection points at 61.0 years and 29.9 kg/m2, respectively.

Indexed as

Chronobiology DisordersCircadian RhythmMetabolic SyndromeAdultAgedBody Mass IndexCross-Sectional StudiesFemaleHumansMiddle AgedNutrition SurveysPrevalenceRisk FactorsSleep DurationUnited Statescircadian syndromecross-sectional studyfemale hormoneNHANESrestricted cubic spline

Identifiers

PMID42736746
PMCPMC13574385

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.