Evidence map›Paper›PMID 42192361›Full record

Observational studyBMC public health2026

Six anthropometric indices and all-cause mortality in ageing populations: an observational cohort study in six longitudinal studies.

Dongqin Xu, Jinnan Yin, Wenming Shen, Xuwen Zheng, Jin Xu

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dongqin XuEmergency Department, Wujin Hospital Affiliated With Jiangsu University and Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, 213017, China.
Jinnan YinEmergency Department, Wujin Hospital Affiliated With Jiangsu University and Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, 213017, China.
Wenming ShenEmergency Department, Wujin Hospital Affiliated With Jiangsu University and Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, 213017, China.
Xuwen ZhengEmergency Department, Wujin Hospital Affiliated With Jiangsu University and Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, 213017, China. zhengxuwen@wjrmyy.cn.
Jin XuEmergency Department, Wujin Hospital Affiliated With Jiangsu University and Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, 213017, China. xujinwjrmyy@163.com.

Funding

the Development Fund of the Affiliated Hospital of Xuzhou Medical University ZX202509
6 · The paper itself

Abstract

backgroundBody-mass index (BMI) does not capture fat distribution and may contribute to the apparent obesity paradox in older adults. We compared six anthropometric indices in relation to all-cause mortality across multiple ageing cohorts.

methodsWe analyzed data from six longitudinal studies in 25 countries (CHARLS, HRS, ELSA, MHAS, SHARE, KLoSA). Adults aged 45 years or older with baseline anthropometry and mortality follow-up were evaluated (n = 89,745). Exposures were BMI, waist-to-height ratio (WHtR), body roundness index (BRI), A Body Shape Index (ABSI), weight-adjusted waist index (WWI), and conicity index (CI). Cox models estimated hazard ratios (HRs) per 1-SD increase with adjustment guided by a prespecified directed acyclic graph. Non-linear associations were examined with floating absolute risks and restricted cubic splines.

resultsDuring a median follow-up of 10 years, 16,593 deaths occurred. BMI was weakly inversely associated with all-cause mortality (HR per 1-SD 0.96, [95% CI 0.93-0.98]), attenuating after exclusion of early deaths (0.97, [0.94-1.00]). ABSI (1.15, [1.11-1.19]) and CI (1.09, [1.06-1.13]) showed a consistent positive association. Dose-response patterns differed: BMI, BRI, and WHtR followed a shallow U-shape, whereas ABSI, WWI, and CI increased approximately linearly without a threshold.

conclusionsIn older adults, indices capturing central adiposity-particularly ABSI-are more consistently associated with higher all-cause mortality than BMI. Routine assessment of waist and height, and communication of simple shape metrics, could improve risk stratification and counselling in clinical and public health practice. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AgingAnthropometryMortalityAgedBody Mass IndexCause of DeathFemaleHumansLongitudinal StudiesMaleMiddle AgedWaist-Height RatioA Body Shape IndexAll-cause mortalityBody-mass indexBody roundness indexConicity indexWaist-to-height ratioWeight-adjusted waist index

Identifiers

PMID42192361
PMCPMC13390216

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.