Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (971 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
A cluster of personal behavior or lifestyle, environmental exposure, inborn or inherited conditions and characteristics, which, on the basis of epidemiological evidence, is known to be associated with cardiovascular diseases and TYPE 2 diabetes mellitus.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Cardiometabolic Risk Factor; Factor, Cardiometabolic Risk; Factors, Cardiometabolic Risk; Risk Factor, Cardiometabolic; Risk Factors, Cardiometabolic; Cardiovascular Stroke Risk Factors.
Where it fits in the MeSH classification
- Broader topics
- Heart Disease Risk Factors
- See also
- Metabolic Syndrome
Related concepts
- Cardiovascular Diseases
- Diabetes Mellitus
Research landscape
PubMed indexes 2,766 records tagged with the MeSH heading “Cardiometabolic Risk Factors” (counts retrieved 2026-10-29). 2,763 of them (99.9%) were published from 2020 onward, and the busiest period so far is 2020 onward with 2,763 records.
Reviews account for 474 records (17.1%) and meta-analyses for 170. Randomized controlled trials number 247 (8.9%) as a share of all records on the topic. Randomized trials make up a comparatively large share of this literature, which means many treatment questions have been tested directly.
Show the data
| Period | Records |
|---|---|
| through 1999 | 0 |
| 2000-2009 | 0 |
| 2010-2019 | 43 |
| 2020 onward | 2,763 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 474 | 17.1% |
| Meta-analyses | 170 | 6.1% |
| Randomized controlled trials | 247 | 8.9% |
Method: PubMed query "Cardiometabolic Risk Factors"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.
Reading the evidence in clinical research
Research methods determine how much a result can be trusted. Randomized trials guard against confounding, systematic reviews and meta-analyses combine many studies, and observational designs are valuable but can show only association. Reporting standards, trial registration and pre-specified outcomes reduce bias. When reading about a method, ask what problem it is designed to solve and which problems it does not solve.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
Is systemic inflammation a missing link between cardiometabolic index with mortality? Evidence from a large population-based study [1]
Abstract reading summary — source excerpts
- Opening excerpt
- BackgroundThis study sought to elucidate the associations of cardiometabolic index (CMI), as a metabolism-related index, with all-cause and cardiovascular mortality among the older population.
- Closing excerpt
- The association appeared to be partially mediated through inflammatory pathways, indicating that CMI may serve as a valuable indicator for poor prognosis among the older population.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (254 words)
BackgroundThis study sought to elucidate the associations of cardiometabolic index (CMI), as a metabolism-related index, with all-cause and cardiovascular mortality among the older population. Utilizing data from the National Health and Nutrition Examination Survey (NHANES), we further explored the potential mediating effect of inflammation within these associations.MethodsA cohort of 3029 participants aged over 65 years old, spanning six NHANES cycles from 2005 to 2016, was enrolled and assessed. The primary endpoints of the study included all-cause mortality and cardiovascular mortality utilizing data from National Center for Health Statistics (NCHS). Cox regression model and subgroup analysis were conducted to assess the associations of CMI with all-cause and cardiovascular mortality. The mediating effect of inflammation-related indicators including leukocyte, neutrophil, lymphocyte, systemic immune-inflammation index (SII), neutrophil to lymphocyte ratio (NLR) were evaluated to investigate the potential mechanism of the associations between CMI and mortality through mediation package in R 4.2.2.ResultsThe mean CMI among the enrolled participants was 0.74±0.66, with an average age of 73.28±5.50 years. After an average follow-up period of 89.20 months, there were 1,015 instances of all-cause deaths and 348 cardiovascular deaths documented. In the multivariable-adjusted model, CMI was positively related to all-cause mortality (Hazard Ratio (HR)=1.11, 95% CI=1.01-1.21). Mediation analysis indicated that leukocytes and neutrophils mediated 6.6% and 13.9% of the association of CMI with all-cause mortality.ConclusionElevated CMI is positively associated with all-cause mortality in the older adults. The association appeared to be partially mediated through inflammatory pathways, indicating that CMI may serve as a valuable indicator for poor prognosis among the older population.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38902748 · DOI · PMC11191290
Racial disparities and prevalence of cardiovascular disease risk factors, cardiometabolic risk factors, and cardiovascular health metrics among US adults: NHANES 2011-2018 [2]
Abstract reading summary — source excerpts
- Opening excerpt
- This study estimated the prevalence of cardiovascular disease (CVD) risk factors, cardiometabolic (CM) risk factors, and cardiovascular health metrics (CVHMs) among US adults and across race/ethnicity groups.
- Closing excerpt
- Reducing further health disparities and persisting differences among racial and ethnic groups is vital to achieving the American Heart Association vision of all people having ideal cardiovascular health, living healthier and longer.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (188 words)
This study estimated the prevalence of cardiovascular disease (CVD) risk factors, cardiometabolic (CM) risk factors, and cardiovascular health metrics (CVHMs) among US adults and across race/ethnicity groups. The study comprised 8370 US adults aged ≥ 20 years from the National Health and Nutrition Examination Survey (NHANES) 2011-2018, free of coronary heart disease/heart failure, angina/angina pectoris, heart attack, and stroke, who provided complete data for the outcome variables of interest. Age-adjusted prevalence of CVD and CM risk factors, and CVHMs were computed for all adults and across race/ethnicity groups. All analyses accounted for the complex, multi-stage survey sampling design of the NHANES. Hypertension (45.0%), obesity (40.0%), fasting plasma glucose ≥ 100 mg/dL or hypoglycemic medication (51.0%), ideal physical activity (59.2%) and ideal smoking status (56.9%) were most prevalent for the whole sample. Mexican Americans and non-Hispanic Blacks had elevated risk for some, but not all, CVD and CM risk factors compared to non-Hispanic Whites and non-Hispanic Asians. Reducing further health disparities and persisting differences among racial and ethnic groups is vital to achieving the American Heart Association vision of all people having ideal cardiovascular health, living healthier and longer.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 36376533 · DOI · PMC9663590
Contribution of obesity and cardiometabolic risk factors in developing cardiovascular disease: a population-based cohort study [3]
Abstract reading summary — source excerpts
- Opening excerpt
- This study aims to assess the effects of central and general adiposity on development of cardiovascular diseases (CVDs) mediated by cardiometabolic risk factors and to analyze their degree of dependency for mediating their effects.
- Closing excerpt
- Controlling the metabolic risk factors in women does not efficiently contribute to decreasing CVDs as effectively.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (252 words)
This study aims to assess the effects of central and general adiposity on development of cardiovascular diseases (CVDs) mediated by cardiometabolic risk factors and to analyze their degree of dependency for mediating their effects. To this end, data from the the Tehran Lipid and Glucose Study cohort with 6280 participants were included in this study. The hazard ratios were calculated using a 2-stage regression model in the context of a survival model. Systolic blood pressure (BP), total serum cholesterol, and fasting plasma glucose were designated as mediators. Assessing the interactions revealed that BP was the most important mediator for general ( (HRNIE: 1.11, 95% CI 1.17-1.24) and central obesity (CO) (HRNIE: 1.11, 95% CI 1.07-1.15) with 60% and 36% proportion of the effects mediated in the total population, respectively. The proportion of mediated risk for all three metabolic risk factors was 46% (95% CI 31-75%) for overweight, 66% (45-100%) for general obesity and 52% (39-87%) for central obesity. BP was the most important mediator for overweight and central obesity in men, comprising 29% and 36% of the risk, respectively. The proportion of the risk mediated through all three metabolic risk factors in women was 23% (95% CI 13-50%) for overweight, 36% (21-64%) for general obesity and 52% (39-87%) for central obesity. Based on the results of this study, cardiometabolic mediators have conciliated more than 60% of the adverse effects of high BMI on CVDs in men. Controlling the metabolic risk factors in women does not efficiently contribute to decreasing CVDs as effectively.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 35091663 · DOI · PMC8799723
Effects of Low-Intensity Endurance Training on Aerobic Fitness and Risk Factors of Cardiometabolic Health in Working-Age Adults: A Systematic Review and Meta-Analysis [4]
Abstract reading summary — source excerpts
- Opening excerpt
- There is a lack of meta-analyses focusing on low-intensity endurance training (LIT), including considerations of the lowest effective intensity across different outcomes.
- Closing excerpt
- Trial Registration: The review protocol was registered at PROSPERO (CRD42023469528).
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (277 words)
There is a lack of meta-analyses focusing on low-intensity endurance training (LIT), including considerations of the lowest effective intensity across different outcomes. This systematic review and meta-analysis examined the effects of LIT on aerobic fitness and cardiometabolic health. Randomized controlled trials involving healthy adults aged 18-65 were included if the training intervention was ≥ 3 weeks, intensity was exclusively below the first lactate/ventilatory threshold (VT1), or ≤ 60% heart rate reserve, or maximum oxygen uptake (VO2max), or ≤ 75% maximum heart rate. Outcome variables were VO2max, VT1, systolic and diastolic blood pressure, plasma/serum low-density, high-density, and total cholesterol, triglycerides, and glucose. Effect sizes (ES) were calculated according to Hedge's g. The subgroup analyses (Q-test) examined the effects of training and background characteristics on outcomes. A total of 50 studies with 824 participants in the intervention groups were included. LIT had a large effect on relative VO2max (ES = 0.94, p 2 = 0.73) and a moderate effect (ES = 0.74, p = 0.003, I2 = 0.57) on VT1 compared with the control group. Small but significant effects (|ES| = 0.29-0.44, p 2 = 0.39-0.79) were observed for other variables, excluding glucose. According to the subgroup analysis, exercise intensity was associated with the adaptations only in VO2max (p = 0.02). LIT improved aerobic fitness and cardiometabolic health, but effects on fitness were more pronounced. Although higher exercise intensity was associated with greater adaptations in VO2max, no minimum intensity for adaptations was detected for most outcomes. Notable heterogeneity in responses was observed, which likely reflects both methodological differences (e.g., intensity prescription) between studies and uncertainty regarding the response magnitude. Trial Registration: The review protocol was registered at PROSPERO (CRD42023469528).
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41543030 · DOI · PMC12810095
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article Long-term cardiometabolic disease risk in women with PCOS: a systematic review and meta-analysis [5]
- Research article Obesity and Cardiometabolic Risk Factors: From Childhood to Adulthood [6]
- Research article Effects of sedentary behaviour interventions on biomarkers of cardiometabolic risk in adults: systematic review with meta-analyses [7]
- Research article Normal weight obesity and unaddressed cardiometabolic health risk-a narrative review [8]
- Research article Birth Size as a Determinant of Cardiometabolic Risk Factors in Children [9]
- Research article Food consumption by degree of processing and cardiometabolic risk: a systematic review [10]
References
- Xu B, Wu Q, La R, Lu L, Abdu FA, Yin G, et al.. Is systemic inflammation a missing link between cardiometabolic index with mortality? Evidence from a large population-based study. . 2024. PMID 38902748 · DOI · PMC11191290
- Lopez-Neyman SM, Davis K, Zohoori N, Broughton KS, Moore CE, Miketinas D. Racial disparities and prevalence of cardiovascular disease risk factors, cardiometabolic risk factors, and cardiovascular health metrics among US adults: NHANES 2011-2018. . 2022. PMID 36376533 · DOI · PMC9663590
- Bakhtiyari M, Kazemian E, Kabir K, Hadaegh F, Aghajanian S, Mardi P, et al.. Contribution of obesity and cardiometabolic risk factors in developing cardiovascular disease: a population-based cohort study. . 2022. PMID 35091663 · DOI · PMC8799723
- Nuuttila OP, Matomäki P, Raitanen J, Sievänen H, Vasankari T. Effects of Low-Intensity Endurance Training on Aerobic Fitness and Risk Factors of Cardiometabolic Health in Working-Age Adults: A Systematic Review and Meta-Analysis. . 2026. PMID 41543030 · DOI · PMC12810095
- Wekker V, van Dammen L, Koning A, Heida KY, Painter RC, Limpens J, et al.. Long-term cardiometabolic disease risk in women with PCOS: a systematic review and meta-analysis. Hum Reprod Update. 2020. PMID 32995872 · DOI · PMC7600286
- Drozdz D, Alvarez-Pitti J, Wójcik M, Borghi C, Gabbianelli R, Mazur A, et al.. Obesity and Cardiometabolic Risk Factors: From Childhood to Adulthood. Nutrients. 2021. PMID 34836431 · DOI · PMC8624977
- Hadgraft NT, Winkler E, Climie RE, Grace MS, Romero L, Owen N, et al.. Effects of sedentary behaviour interventions on biomarkers of cardiometabolic risk in adults: systematic review with meta-analyses. Br J Sports Med. 2021. PMID 32269058 · DOI · PMC7841485
- Wijayatunga NN, Dhurandhar EJ. Normal weight obesity and unaddressed cardiometabolic health risk-a narrative review. Int J Obes (Lond). 2021. PMID 34007010 · DOI
- Nordman H, Jääskeläinen J, Voutilainen R. Birth Size as a Determinant of Cardiometabolic Risk Factors in Children. Horm Res Paediatr. 2020. PMID 32846418 · DOI
- Silva Meneguelli T, Viana Hinkelmann J, Hermsdorff HHM, Zulet MÁ, Martínez JA, Bressan J. Food consumption by degree of processing and cardiometabolic risk: a systematic review. Int J Food Sci Nutr. 2020. PMID 32053758 · DOI
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-10-29.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.