Evidence map›Paper›PMID 40665287›Full record

ArticleBMC public health2025

Association of obesity phenotypes with risk of cardiovascular disease mortality: a prospective cohort study.

Ruixue Song, Yanfeng Jiang, Jiaojiao Pang, Shuo Wu, Jingjing Ma, Ping Li, Xiaohui Wu, Feng Xu, Jiali Wang, Xingdong Chen and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2025. 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. Review
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

11 authors.

Ruixue Song *Department of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, China.
Yanfeng Jiang *State Key Laboratory of Genetics and Development of Complex Phenotypes, Research and Innovation Center, Zhangjiang Fudan International Innovation Center, and National Clinical Research Center for Aging and Medicine, Human Phenome Institute, Shanghai Pudong Hospital, Fudan University, Shanghai, China.
Jiaojiao Pang *Department of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, China.
Shuo WuDepartment of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, China.
Jingjing MaDepartment of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, China.
Ping LiDepartment of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, China.
Xiaohui WuDepartment of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, China.
Feng XuDepartment of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, China.
Jiali WangDepartment of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, China. wangjiali_2000@126.com.
Xingdong ChenState Key Laboratory of Genetics and Development of Complex Phenotypes, Research and Innovation Center, Zhangjiang Fudan International Innovation Center, and National Clinical Research Center for Aging and Medicine, Human Phenome Institute, Shanghai Pudong Hospital, Fudan University, Shanghai, China. xingdongchen@fudan.edu.cn.
Yuguo ChenDepartment of Emergency Medicine, Qilu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan, China. chen919085@sdu.edu.cn.

Funding

Key R&D Program of Shandong Province 2021SFGC0503Key R&D Program of Shandong Province 2021ZLGX02National Science & Technology Fundamental Resources Investigation Project 2018FY100600National the Key R&D Program of China 2020YFC1512700National the Key R&D Program of China 2020YFC1512703Shandong Provincial Natural Science Foundation 26010105202389Taishan Pandeng Scholar Program of Shandong Province tspd20181220Taishan Young Scholar Program of Shandong Province tsqn202306353The Interdisciplinary Young Researcher Groups Program of Shandong University 2020QNQT004
6 · The paper itself

Abstract

backgroundProspective longitudinal studies have shown inconsistent effects of obesity phenotypes on the risk of cardiovascular disease (CVD) mortality. Also, longitudinal evidence from Chinese populations remained scarce. We aimed to investigate the association of obesity phenotypes assessed by body mass index (BMI) and metabolic syndrome (MetS) with risk of CVD mortality, leveraging the unique adiposity patterns and metabolic vulnerability of Asian populations.

methodsA subset of 26,884 participants (aged 49.30 ± 10.37 years, 39.23% men) from Taizhou longitudinal study were followed up to 8 years. Obesity phenotypes were categorized into 4 groups including metabolically healthy non-obese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUNO) and metabolically unhealthy obese (MUO), using BMI categories from Chinese criteria (obesity: ≥28.0 kg/m²) and MetS defined by International Diabetes Federation (IDF) consensus. The death caused by CVD were identified based on international classification of diseases-10th Revision (ICD-10). Data were analyzed using the Cox regression models and Laplace regression models.

resultsOf 26,884 participants, 15,462 (57.5%), 1,702 (6.3%), 3,656 (13.6%) and 2,064 (7.7%) subjects were classified into the MHNO, MHO, MUNO and MUO group, respectively. At the end of the follow-up, 113 (0.39%) participants died because of CVD. Compared with the MHNO group, the hazards ratios (HRs) and 95% confidence intervals (CIs) of CVD mortality were 1.73 (1.03–2.91) and 1.97 (1.11–3.52) respectively in MUNO and MUO group. The multi-adjusted 50th percentile differences (50th PDs) (95% CIs) of time at incident CVD mortality in MUNO and MUO group were 0.97 (0.00-1.93) and 1.35 (0.31–2.39) years earlier respectively than those in MHNO group. MHO group showed no significant risk elevation (HR = 1.21, 0.68–2.17) despite the earlier 50th percentile differences of CVD mortality years (50th PD = 0.94, 95%CI: 0.38–2.25).

conclusionsMetabolic abnormalities increased the risk of CVD mortality especially in participants with obesity.

Indexed as

Cardiovascular DiseasesObesityAdultBody Mass IndexChinaFemaleHumansLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedPhenotypeProspective StudiesRisk FactorsCVD mortalityMetabolically unhealthy non-obeseMetabolically unhealthy obeseMetabolic syndromeObesity phenotypes

Identifiers

PMID40665287
PMCPMC12261586

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.