Evidence map›Paper›PMID 40462132›Full record

ArticleNutrition journal2025

Weight-adjusted waist index and deficit accumulation frailty trajectories in middle-aged and older adults: a longitudinal study.

Peng Zeng, Cheng Jiang, Han Yin, Mengyuan Zhou, Huijie He, Da Yin, Feng Lin

Abstract read
In one paragraph

Article in Nutrition journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Relative impact of multidomain lifestyle interventions on deficit accumulation frailty over 24 months in the U.S. POINTER trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Trial
  2. 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

7 authors.

Peng Zeng *Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, China.
Cheng Jiang *Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, China.
Han Yin *Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, China.
Mengyuan ZhouDepartment of Pharmacy, Guangdong Women and Children Hospital, Guangzhou, 510010, China.
Huijie HeDepartment of Geriatrics, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, 518020, Guangdong, China.
Da YinDepartment of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, China. dlyinda@hotmail.com.
Feng LinDepartment of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, China. linfeng3085@163.com.

Funding

Sanming Project of Medicine in Shenzhen SZSM201412012Shenzhen Key Medical Discipline Construction Fund SZXK003
6 · The paper itself

Abstract

introductionPrevious studies indicated that obesity defined by BMI accelerate frailty, but this effect weakens when stratified by metabolic status. The Weight-adjusted Waist Index (WWI), a better indicator of central obesity, may provide a more accurate measurement. The primary aim of this study was to estimate the impact of WWI on frailty progression and compare its effects across different metabolic statuses.

methodsWe used data from 10,440 participants aged 45 and older from the China Health and Retirement Longitudinal Study (CHARLS).The Frailty Index (FI) was derived from 32 health deficits. K-means clustering identified three trajectories for WWI or BMI: stable low, stable moderate, and stable high. Longitudinal associations were assessed using Accelerated Failure Time and linear mixed models.

resultsEach Standard deviation (SD) increment in WWI was linked to a faster onset of frailty [Time ratio (TR) = 0.899; 95% CI 0.872 to 0.926; p < 0.001] and accelerated FI progression (β = 0.186/year; 95% CI 0.152 to 0.220/year; p < 0.001). For BMI, each SD increment was associated with a shorter time to frailty onset (TR = 0.943; 95% CI 0.917 to 0.970; p < 0.001), which was positively correlated with the accelerated FI, but this estimate is imprecise. Smooth curve fitting revealed a dose-response relationship between WWI and FI and a U-shaped relationship between BMI and FI. In WWI trajectories, stable moderate, and stable high groups presented shorter frailty onset time and accelerated FI progression. For BMI trajectories, only the stable high group was associated with frailty progression in participants without baseline underweight. Stratified analysis showed that the association between WWI and FI progression remained consistent across different metabolic statuses, while the association between BMI and FI progression was weakened in all subgroups.

conclusionWWI accelerates the progression of frailty,and remains consistent across different metabolic statuses, unlike BMI. This indicates that WWI may better capture obesity-related frailty risk, emphasizing the role of central obesity in frailty assessment.

Indexed as

Body WeightFrailtyWaist CircumferenceAgedBody Mass IndexChinaDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedObesity, AbdominalCentral obesityCohort studyFrailty progressionMetabolic statusTrajectory modeling

Identifiers

PMID40462132
PMCPMC12131399

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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.