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Purpose: The menopausal transition is accompanied by metabolic changes in women. This study explores the Chinese visceral adiposity index (CVAI) as a potential indicator of menopausal status to aid in disease prevention.
Patients And Methods: A cohort of 404 premenopausal Chinese women aged 45 years and above, from the China Health and Retirement Longitudinal Study (CHARLS), was included. CVAI was calculated from the 2011 survey data, menopausal status was collected in the 2018 survey, representing a 7-year longitudinal follow-up. The cross-sectional study cohort from the National Health and Nutrition Examination Survey (NHANES) included 3577 women aged 40-60 with CVAI and self-reported menopausal status from 2003 to 2020. Logistic regression models were estimated the odds ratio (OR) of the menopause data and 95% confidence intervals (CIs).
Results: In the CHARLS cohort, the adjusted OR for menopause in the fourth quartile of CVAI compared to the first quartile was 5.23 (95% CI: 1.59, 17.17; P for trend: 0.005). Additionally, a significant difference in the association between menopausal status and CVAI was found between rural and urban populations (P for interaction = 0.029). Moreover, in the NHANES cohort, the CVAI and the menopausal status were associated after adjustment (OR: 1.02, 95% CI: 1.002, 1.037, P: 0.029). In the stratified analysis, the association of CVAI with the status of menopause was observed among other ethnicities which including Asians (OR: 1.092, 95% CI: 1.012, 1.178, P: 0.025). Finally, a nomogram was developed to facilitate the clinical assessment of menopause based on the CVAI.
Conclusion: The CVAI demonstrated a significant association with the odds of menopausal status in both Chinese and the US populations, suggesting its potential as a correlative marker for menopausal status, but the associational strength may vary by population.
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http://dx.doi.org/10.2147/IJWH.S514304 | DOI Listing |
Cancer Epidemiol Biomarkers Prev
September 2025
Kangbuk Samsung Hospital, Seoul, Korea (South), Republic of.
Background: Iron metabolism may influence breast cancer development; however, links between iron-related biomarkers and breast cancer remain inconclusive. Given differences in iron status by menopausal status, we examined associations of ferritin and other iron biomarkers, with breast cancer incidence, stratified by menopausal status, in a Korean screening cohort.
Methods: This cohort study included 140,747 Korean women screened for breast cancer from 2011-2020.
Front Oncol
August 2025
Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
Purpose: To develop a magnetic resonance imaging (MRI)-based radiomics nomogram to predict lymphovascular space invasion (LVSI) status in patients with early-stage cervical adenocarcinoma (CAC).
Methods: Clinicopathological and MRI data from 310 patients with histopathologically confirmed early-stage CAC were retrospectively analyzed. Patients were divided into training (n = 186) and validation (n = 124) cohorts.
Evol Med Public Health
July 2025
Center for Evolution and Medicine, Arizona State University, Life Sciences C, 427 East Tyler Mall, Tempe, AZ 85281, USA.
Background: Reproduction affects health and longevity among females across the life course. While significant focus has been devoted to the role of menarche, menopause remains understudied. Most menopause research is conducted in industrialized populations, where the risk of cardiovascular diseases increases progressively during the menopausal transition.
View Article and Find Full Text PDFCancer Med
September 2025
Geriatric Medicine Center, Department of Endocrinology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Background: The pathological response to neoadjuvant chemotherapy (NAC) has become a vital prognostic indicator for patients with breast cancer (BC). The newly generated models depended on rather basic imaging and pathology characteristics and did not sufficiently elucidate the importance of the incorporated data. The purpose of this study is to establish and authenticate a machine learning model for predicting the pathological complete response to NAC using baseline clinical and pathological features in BC patients.
View Article and Find Full Text PDFPrev Med
September 2025
Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland. Electronic address:
Objective: To evaluate sex-specific trends in diabetes management in Switzerland over a 25-year period using nationally representative data, and to determine whether menopausal status modifies these differences.
Methods: We analyzed six Swiss Health Surveys (1997-2022) to assess sex differences in diabetes screening, diagnosis, treatment, and control. Multivariable logistic regressions were adjusted for demographic, socioeconomic, and lifestyle covariates.