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Cardiometabolic Risk Factors

Clinical Research · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

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 T

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

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.

PubMed records by publication periodthrough 1999: 0 records; 2000-2009: 0 records; 2010-2019: 43 records; 2020 onward: 2,763 records0through 199902000-2009432010-20192,7632020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19990
2000-20090
2010-201943
2020 onward2,763
Share of records by publication typeReviews: 17.1 percent; Meta-analyses: 6.1 percent; Randomized controlled trials: 8.9 percentReviews17.1% (474)Meta-analyses6.1% (170)Randomized controlled trials8.9% (247)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 2,766 PubMed records
TypeRecordsShare
Reviews47417.1%
Meta-analyses1706.1%
Randomized controlled trials2478.9%

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.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Is systemic inflammation a missing link between cardiometabolic index with mortality? Evidence from a large population-based study
Xu B, Wu Q, La R, Lu L, Abdu FA, Yin G, et al.
2024Research article
Design not recorded in structured metadata
152cc by
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
Lopez-Neyman SM, Davis K, Zohoori N, Broughton KS, Moore CE, Miketinas D
2022Research article
Design not recorded in structured metadata
106cc by
PMID 36376533 · DOI · PMC9663590
Contribution of obesity and cardiometabolic risk factors in developing cardiovascular disease: a population-based cohort study
Bakhtiyari M, Kazemian E, Kabir K, Hadaegh F, Aghajanian S, Mardi P, et al.
2022Research article
Design not recorded in structured metadata
62cc by
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
Nuuttila OP, Matomäki P, Raitanen J, Sievänen H, Vasankari T
2026Meta-analysis
Design not recorded in structured metadata
3cc by
PMID 41543030 · DOI · PMC12810095

Is systemic inflammation a missing link between cardiometabolic index with mortality? Evidence from a large population-based study [1]

Research article Xu B, Wu Q, La R, Lu L, Abdu FA, Yin G, et al. · · 2024 · cited 152 times (Europe PMC)

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]

Research article Lopez-Neyman SM, Davis K, Zohoori N, Broughton KS, Moore CE, Miketinas D · · 2022 · cited 106 times (Europe PMC)

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]

Research article Bakhtiyari M, Kazemian E, Kabir K, Hadaegh F, Aghajanian S, Mardi P, et al. · · 2022 · cited 62 times (Europe PMC)

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]

Meta-analysis Nuuttila OP, Matomäki P, Raitanen J, Sievänen H, Vasankari T · · 2026 · cited 3 times (Europe PMC)

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]
    Wekker V, van Dammen L, Koning A, Heida KY, Painter RC, Limpens J, et al. · Hum Reprod Update · 2020 · cited 298 times (Europe PMC)
  • Research article Obesity and Cardiometabolic Risk Factors: From Childhood to Adulthood [6]
    Drozdz D, Alvarez-Pitti J, Wójcik M, Borghi C, Gabbianelli R, Mazur A, et al. · Nutrients · 2021 · cited 294 times (Europe PMC)
  • Research article Effects of sedentary behaviour interventions on biomarkers of cardiometabolic risk in adults: systematic review with meta-analyses [7]
    Hadgraft NT, Winkler E, Climie RE, Grace MS, Romero L, Owen N, et al. · Br J Sports Med · 2021 · cited 118 times (Europe PMC)
  • Research article Normal weight obesity and unaddressed cardiometabolic health risk-a narrative review [8]
    Wijayatunga NN, Dhurandhar EJ · Int J Obes (Lond) · 2021 · cited 81 times (Europe PMC)
  • Research article Birth Size as a Determinant of Cardiometabolic Risk Factors in Children [9]
    Nordman H, Jääskeläinen J, Voutilainen R · Horm Res Paediatr · 2020 · cited 72 times (Europe PMC)
  • Research article Food consumption by degree of processing and cardiometabolic risk: a systematic review [10]
    Silva Meneguelli T, Viana Hinkelmann J, Hermsdorff HHM, Zulet MÁ, Martínez JA, Bressan J · Int J Food Sci Nutr · 2020 · cited 72 times (Europe PMC)

References

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. Wijayatunga NN, Dhurandhar EJ. Normal weight obesity and unaddressed cardiometabolic health risk-a narrative review. Int J Obes (Lond). 2021. PMID 34007010 · DOI
  9. Nordman H, Jääskeläinen J, Voutilainen R. Birth Size as a Determinant of Cardiometabolic Risk Factors in Children. Horm Res Paediatr. 2020. PMID 32846418 · DOI
  10. 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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Related research topics

  • Protective FactorsClinical Research
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All 98 articles in Clinical Research →

At a glance

2,766
PubMed records on this heading
100%
published since 2020
474
review articles
247
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Protective FactorsClinical Research
  • Risk FactorsClinical Research
  • Mediation AnalysisClinical Research
  • Risk AssessmentClinical Research
  • Odds RatioClinical Research

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