ArticleCardiovascular diabetology2025
Causal association of modifiable factors with cardiometabolic multimorbidity: an exposome-wide Mendelian randomization investigation.
Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genetic susceptibility to uric acid and selected cardiovascular outcomes: a systematic review and meta-analysis of Mendelian randomization studies.Frontiers in endocrinology · 2026Pooled it
- Joint Trajectories of Physical Activity and Depressive Symptoms and Incident Cardiometabolic Multimorbidity: A Multi-Cohort Study.Diabetes, obesity & metabolism · 2026Article
- Naturalistic Decision-Making Patterns in Cardiometabolic Multimorbidity Self-Care: A Qualitative Study.Annals of family medicine · 2026Article
- Integrative genetic analysis reveals shared genetic architecture underlying coronary artery disease, CT-Defined coronary atherosclerosis, and cardiometabolic risk factors.Functional & integrative genomics · 2026Article
- Review
- Unraveling 'F' factor: towards a genetic-clinical framework for the musculoskeletal-heart crosstalk in metabolic aging.Cardiovascular diabetology · 2026Article
- Association between oxidative balance score and cardiometabolic multimorbidity: differential mortality, mediation mechanisms, and machine learning insights.Journal of translational medicine · 2026Article
- LDL-C combined with Chinese visceral adiposity index as a risk stratification tool for cardiometabolic multimorbidity in middle-aged and older Chinese adults: a national prospective cohort study.Cardiovascular diabetology · 2026Article
- Joint association of depression and physical activity with incident cardiometabolic multimorbidity (CMM) among middle-aged and older adults in China.Scientific reports · 2026Article
- Association of multimorbidity and its patterns with risk of mortality among the elderly in Shenzhen, China.BMC geriatrics · 2026Article
- Joint association of lung function and physical activity with risk of incident stroke among the US and Chinese adults.BMC public health · 2026Article
- Association of C-reactive protein-triglycerides-glucose index-waist to height ratio and cardiometabolic multimorbidity in middle-aged and older adults: a nationwide cohort study.Cardiovascular diabetology · 2026Article
- Associations of the hs-CRP/HDL-C ratio with cardiovascular metabolic multimorbidity: a large cross-sectional study.Scientific reports · 2026Article
- Association between modified cardiometabolic index and cardiometabolic multimorbidity in middle-aged and older adults: evidence from two nationwide cohort studies.Scientific reports · 2026Article
- Data-driven glycolipid network phenotypes reveal a graded risk spectrum for cardiometabolic multimorbidity: a prospective study in middle-aged and older Chinese adults.Lipids in health and disease · 2026Article
- A disease potential-driven graph attention model for comorbidity risk prediction of hypertension.Frontiers in big data · 2026Article
- Joint associations of lung function of both general and abdominal obesity with cardiometabolic multimorbidity: a cross-sectional study.Frontiers in medicine · 2026Article
- Association between leukemic immunophenotype and overall survival in patients with acute promyelocytic leukemia: a retrospective cohort study.Frontiers in cell and developmental biology · 2026Article
- Association between the CHG index and cardiometabolic multimorbidity: a nationwide prospective cohort and multi-community cross-sectional study.Frontiers in nutrition · 2025Article
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10 authors.
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Abstract
backgroundCardiometabolic multimorbidity (CMM), characterized by the co-existence of two or more cardiometabolic diseases (CMDs) including type 2 diabetes (T2D), coronary artery disease (CAD), and stroke, persists as a global health challenge. However, the causal associations of modifiable factors with CMDs and CMM remains to be systematically investigated.
methodsIn this study, a three-stage design Mendelian randomization (MR) investigation was conducted, using two-sample MR with potential sample overlap correction and multiple testing, multivariable MR analysis, and multi-response MR, with modifiable factors covering domains of socioeconomic factors, behavioral factors, biochemical factors, and physical measures as exposures, and CMM and CMDs as outcomes. Updated large-scale genome-wide association study (GWAS) data based on systematic collection from GWAS Catalog were applied.
resultsOur major findings suggested that, 13 of 23 modifiable factors across four domains, including educational attainment (odds ratio: 0.858, 95% confidence interval: 0.834-0.883), household income (0.794, 0.720-0.875), lifetime smoking behavior (1.201, 1.145-1.260), leisure screen time (1.255, 1.186-1.327), low-density lipoprotein cholesterol levels (1.062, 1.046-1.079), total cholesterol levels (1.045, 1.029-1.062), Apolipoprotein B (1.035, 1.019-1.051), fasting glucose (1.096, 1.038-1.157), glycated hemoglobin (HbA1c) (1.062, 1.037-1.089), systolic blood pressure (1.125, 1.104-1.146), diastolic blood pressure (1.104, 1.083-1.126), forced expiratory volume in 1 s (FEV
conclusionsPromoting educational attainment, maintaining favorable serum urate, and controlling obesity are specifically prioritized for CMM prevention. Furthermore, avoiding smoking and sedentary behavior, and strengthening physical activity held prominent protective impacts on CMDs. Additionally, improving dyslipidemia and dysglycemia, maintaining favorable blood pressure, and enhancing lung function, would contribute to the co-management of CMDs and preventing the long-term CMM condition. Our investigation provided causality-oriented evidence to establish the risk profile of CMM.
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