Evidence map›Paper›PMID 40965424›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Changes in Weight, Waist Circumference or Both With Incident Heart Failure in Chinese Middle-Aged and Older Adults.

Yu Yin, Rui Tang, Xi Wang, Mengyi Zheng, Jingli Qu, Shuohua Chen, Shouling Wu, Yu Yuan

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 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. Article
  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

8 authors.

Yu YinDepartment of Occupational and Environment Health. Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Rui TangDepartment of Occupational and Environment Health. Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xi WangDepartment of Occupational and Environment Health. Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mengyi ZhengCardiovascular Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Jingli QuDepartment of Occupational and Environment Health. Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, Tangshan, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, China.
Yu YuanDepartment of Occupational and Environment Health. Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

Chief Scientist Research Project of Hubei Shizhen Laboratory HSL2024SX0003National Key Research and Development Program of China 2022YFE0209900National Natural Science Foundation of China 81930092National Natural Science Foundation of China 82021005National Natural Science Foundation of China 82192903
6 · The paper itself

Abstract

backgroundPrevious studies have acknowledged that higher body weight and waist circumference were associated with an increased risk of heart failure. Notably, both body weight and waist circumference can change over time. However, no previous study has investigated the association between combined changes in weight and waist circumference in middle-aged and older adults and incident heart failure.

methodsThis prospective study included 45 620 middle-aged and older Chinese adults (aged 45-104 years). These participants were free of critical diseases at baseline, including coronary heart disease, stroke, heart failure, atrial fibrillation and cancer. Weight change from 2006-2007 to 2012-2013 was categorized into five groups: excessive weight loss (change < -10%, N = 3943), lesser weight loss (-10% ≤ change < -5%, N = 5890), stable weight (±5%, N = 23 208), lesser weight gain (5% < change ≤ 10%, N = 7153) and excessive weight gain (> 10%, N = 5426). Waist circumference change was categorized into five groups: excessive waist circumference loss (change < -10%, N = 8236), lesser waist circumference loss (-10% ≤ change < -5%, N = 6215), stable waist circumference (±5%, N = 16 953), lesser waist circumference gain (5% < change ≤ 10%, N = 6642) and excessive waist circumference gain (> 10%, N = 7574). Combined changes in weight and waist circumference were divided into 25 groups, i.e., cross-classified combinations derived from the five categories of weight change and five categories of waist circumference change. Incident heart failure cases that occurred from 2012-2013 to December 31, 2022 were recorded. Cox proportional hazards regression models were used to estimate the associations of weight change, waist circumference change or both with heart failure. Multivariate models were stratified by age at risk (in 5-year intervals) and sex, and were adjusted for variables including height, smoking, drinking, educational attainment, occupation, dietary pattern, physical activity, hypertension, fasting blood glucose and total serum cholesterol. In the analysis of weight change, we additionally adjusted for weight at baseline and waist circumference change. Conversely, for the analysis of waist circumference change, adjustments were made for baseline waist circumference and weight change. When examining combined weight and waist circumference changes, adjustments were made for both baseline weight and waist circumference. Additionally, we employed restricted cubic spline analyses to examine the nonlinear associations between changes in weight or waist circumference and heart failure.

resultsWe identified 1036 heart failure cases during follow-up. The median (interquartile range, IQR) of follow-up time was 9.66 (9.40, 9.96) years. The incidence rate of heart failure was 2.47 cases per 1000 person-years. The median (IQR) age of our participants was 52.1 (46.8, 57.7) years. The proportion of men was 77.9%. The mean (standard deviation) of weight and waist circumference at baseline (baseline, 2006-2007) was 70.1 (10.4) kg and 87.2 (9.0) cm, respectively. Compared with those who kept stable weight, participants in the excessive weight gain group had a higher risk (HR [hazard ratio], 1.27; 95% CI [confidence interval]: 1.03-1.57). Compared with those who kept stable waist circumference, participants in the excessive waist circumference gain group had a higher risk (HR, 1.28; 95% CI: 1.05-1.56), while those in the excessive waist circumference loss group had a lower risk of heart failure (HR, 0.76; 95% CI: 0.64-0.92). Compared with participants with stable weight and waist circumference, those who lost excessive weight and kept stable waist circumference (HR, 1.53; 95% CI: 1.10-2.14), those who lost lesser weight and gained excessive waist circumference (HR, 2.19; 95% CI: 1.38-3.46), and those who gained excessive weight and excessive waist circumference (HR, 1.48; 95% CI: 1.03-2.14) had a higher risk of heart failure. The restricted cubic spline illustrated a U-shaped relation between weight change and incident heart failure (P overall = 0.027, P for non-linear relation = 0.007), whereas a positive linear relation was observed for waist circumference change with incident heart failure (p overall < 0.001, p for non-linear relation = 0.675).

conclusionsExcessive weight gain and waist circumference gain were associated with 27% and 28% higher risk of heart failure, while excessive waist circumference loss was associated with a 24% lower risk of heart failure.

Indexed as

Body WeightHeart FailureWaist CircumferenceAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk Factorscardiovascular diseasemiddle‐aged and elderly populationprospective studywaist changeweight change

Identifiers

PMID40965424
PMCPMC12445124

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.