ArticleBMC women's health2025
Anthropometric indices and mortality in postmenopausal women: NHANES 1999-2018 evidence.
Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLimited research has focused on how anthropometric measures relate to mortality risk, specifically among postmenopausal women. Our study aimed to explore the association between anthropometric indices and risks of all-cause and cardiovascular mortality in American postmenopausal women.
methodsData from the NHANES cycles 1999-2018 were extracted. Firstly, weighted multivariable Cox proportional hazards models and restricted cubic splines (RCS) were used to detect the association between six body indicators, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and weight-adjusted waist index (WWI), and all-cause and CVD mortality risk in postmenopausal women. Furthermore, the predictive power of different anthropometric indices for mortality was assessed by time-dependent receiver operator characteristic (ROC) curves. Subgroup and sensitivity analyses were further employed to evaluate the consistency and robustness of the findings.
resultsDuring an average follow-up of 10.04 years, 2522 deaths were reported from any cause, and 783 participants died of CVD in total. A fully adjusted multivariate Cox regression model indicated a significant positive association between WWI and ABSI and all-cause and CVD mortality in postmenopausal Americans. The RCS revealed a significant nonlinear relationship between BRI and WC and all-cause mortality, whereas the relationships between WWI and ABSI and CVD/all-cause mortality were positively linear. For all-cause mortality prediction, WWI outperformed other anthropometric parameters, with an AUC of 0.616 (95% CI 0.594-0.637) for 5 year, 0.624 (95% CI 0.608-0.640) for 10-year, and 0.641 (95% CI 0.624-0.658) for 15-year. Consistently, WWI showed the highest AUC of 0.642 (95% CI 0.605-0.679), 0.656 (95% CI 0.631-0.681)and 0.675 (95% CI 0.651-0.699) when predicting 5-year, 10-year and 15-year CVD mortality, respectively. Subgroup and sensitivity analyses confirmed the stability and robustness of our findings.
conclusionHigher ABSI and WWI values were linearly associated with increased all-cause and CVD mortality in postmenopausal women in the U.S. WWI and ABSI anthropometric indicators may be useful tools to detect CVD and all-cause mortality risks and to support early intervention strategies for individuals after menopause in clinical practice.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.