Evidence map›Paper›PMID 38700033›Full record

ArticleJournal of the American Heart Association2024

Increased Risk of Cardiometabolic Disease in Ideal Weight Adults With History of Overweight/Obesity in China: A Prospective Cohort Study.

Zhiwei Cai, Guanlin Chen, Wenliu Zhao, Zhihao Wei, Xianxuan Wang, Zegui Huang, Huancong Zheng, Kuangyi Wu, Yang Liu, Yulong Lan and 3 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

13 authors.

Zhiwei CaiDepartment of Cardiology Second Affiliated Hospital of Shantou University Medical College Shantou China.ORCID 0000-0002-0118-0504
Guanlin ChenSecond Clinical College China Medical University Shenyang China.ORCID 0009-0002-9322-286X
Wenliu ZhaoSchool of Public Health North China University of Science and Technology Tangshan China.ORCID 0000-0002-0750-2746
Zhihao WeiSchool of Public Health North China University of Science and Technology Tangshan China.
Xianxuan WangDepartment of Cardiology Second Affiliated Hospital of Shantou University Medical College Shantou China.
Zegui HuangDepartment of Cardiology Sun Yat-sen Memorial Hospital of Sun Yat-sen University Guangzhou China.ORCID 0000-0001-6091-5964
Huancong ZhengDepartment of Cardiology Second Affiliated Hospital of Shantou University Medical College Shantou China.ORCID 0009-0004-2034-4078
Kuangyi WuDepartment of Cardiology Second Affiliated Hospital of Shantou University Medical College Shantou China.ORCID 0009-0003-9482-216X
Yang LiuDepartment of Biostatistics and Epidemiology School of Public Health China Medical University Shenyang China.ORCID 0000-0003-2678-5689
Yulong LanDepartment of Cardiology Second Affiliated Hospital of Shantou University Medical College Shantou China.ORCID 0000-0002-6143-9709
Weiqiang WuDepartment of Cardiology Second Affiliated Hospital of Shantou University Medical College Shantou China.
Shouling WuDepartment of Cardiology Kailuan General Hospital Tangshan China.ORCID 0000-0001-7095-6022
Youren ChenDepartment of Cardiology Second Affiliated Hospital of Shantou University Medical College Shantou China.ORCID 0000-0003-4401-3279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOverweight and obesity represent critical modifiable determinants in the prevention of cardiometabolic disease (CMD). However, the long-term impact of prior overweight/obesity on the risk of CMD in later life remains unclear. We aimed to investigate the association between longitudinal transition of body mass index (BMI) status and incident CMD. METHODS AND

resultsThis prospective cohort study included 57 493 CMD-free Chinese adults from the Kailuan Study. BMI change patterns were categorized according to the BMI measurements obtained during the 2006 and 2012 surveys. The primary end point was a composite of myocardial infarction, stroke, and type 2 diabetes. Cox regression models were used to evaluate the associations of transitions in BMI with overall CMD events and subtypes, with covariates selected on the basis of the directed acyclic graph. During a median follow-up of 7.62 years, 8412 participants developed CMD. After considering potential confounders, weight gain pattern (hazard ratio [HR], 1.34 [95% CI, 1.23-1.46]), stable overweight/obesity (HR, 2.12 [95% CI, 2.00-2.24]), and past overweight/obesity (HR, 1.73 [95% CI, 1.59-1.89]) were associated with the incidence of CMD. Similar results were observed in cardiometabolic multimorbidity, cardiovascular disease, and type 2 diabetes. Additionally, triglyceride and systolic blood pressure explained 8.05% (95% CI, 5.87-10.22) and 12.10% (95% CI, 9.19-15.02) of the association between past overweight/obesity and incident CMD, respectively.

conclusionsA history of overweight/obesity was associated with an increased risk of CMD, even in the absence of current BMI abnormalities. These findings emphasize the necessity for future public health guidelines to include preventive interventions for CMD in individuals with past overweight/obesity.

Indexed as

Body Mass IndexObesityOverweightAdultCardiometabolic Risk FactorsCardiovascular DiseasesChinaDiabetes Mellitus, Type 2FemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk AssessmentRisk Factorsbody mass indexcardiometabolic diseasediabeteslongitudinal studyweight loss

Identifiers

PMID38700033
PMCPMC11179937

What OpenQuestion 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 OpenQuestion graph.