Evidence map›Paper›PMID 39223569›Full record

ArticleBMC public health2024

Joint and interactive associations of body mass index and genetic factors with cardiovascular disease: a prospective study in UK Biobank.

Ruyu Huang, Xinxin Kong, Rui Geng, Jingwei Wu, Tao Chen, Jiong Li, Chunjian Li, Yaqian Wu, Dongfang You, Yang Zhao and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2024. 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

13 authors.

Ruyu Huang *Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Xinxin Kong *Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Rui GengDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Jingwei WuDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, PA, 19122, USA.
Tao ChenCenter for Health Economics, University of York, York, YO105DD, UK.
Jiong LiDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Chunjian LiDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yaqian WuDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Dongfang YouDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Yang ZhaoDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Zihang ZhongDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. zhzhong@njmu.edu.cn.
Senmiao NiDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. senmiaoni@njmu.edu.cn.
Jianling BaiDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. baijianling@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth body mass index (BMI) and genetic factors independently contribute to cardiovascular disease (CVD). However, it is unclear whether genetic risk modifies the association between BMI and the risk of incident CVD. This study aimed to investigate whether BMI categories and genetic risk jointly and interactively contribute to incident CVD events, including hypertension (HTN), atrial fibrillation (AF), coronary heart disease (CHD), stroke, and heart failure (HF).

methodsA total of 496,851 participants from the UK Biobank with one or more new-onset CVD events were included in the analyses. BMI was categorized as normal weight (< 25.0 kg/m

resultsAmong the 496,851 participants, 270,726 (54.5%) were female, with a mean (SD) age was 56.5 (8.1) years. Over a median follow-up (IQR) of 12.4 (11.5-13.1) years, 102,131 (22.9%) participants developed HTN, 26,301 (5.4%) developed AF, 32,222 (6.9%) developed CHD, 10,684 (2.2%) developed stroke, and 13,304 (2.7%) developed HF. Compared with the normal weight with low genetic risk, the obesity with high genetic risk had the highest risk of CVD: HTN (HR: 3.96; 95%CI: 3.84-4.09), AF (HR: 3.60; 95%CI: 3.38-3.83), CHD (HR: 2.76; 95%CI: 2.61-2.91), stroke (HR: 1.44; 95%CI: 1.31-1.57), and HF (HR: 2.47; 95%CI: 2.27-2.69). There were significant additive interactions between BMI categories and genetic risk for HTN, AF, and CHD, with relative excess risk of 0.53 (95%CI: 0.43-0.62), 0.67 (95%CI: 0.51-0.83), and 0.37 (95%CI: 0.25-0.49), respectively.

conclusionsBMI and genetic factors jointly and interactively contribute to incident CVD, especially among participants with high genetic risk. These findings have public health implications for identifying populations more likely to have cardiovascular benefit from weight loss interventions.

Indexed as

Biological Specimen BanksBody Mass IndexCardiovascular DiseasesAdultAgedFemaleGenetic Predisposition to DiseaseHumansIncidenceMaleMiddle AgedObesityProspective StudiesRisk FactorsUK BiobankUnited KingdomAdditive interactionBody mass indexCardiovascular diseaseGenetic riskJoint association

Identifiers

PMID39223569
PMCPMC11367834

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.