ArticleNutrients2023
Waist Circumference Is an Essential Factor in Predicting Insulin Resistance and Early Detection of Metabolic Syndrome in Adults.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
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Who cites it
53 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- Effects of dietary polyphenol curcumin supplementation on metabolic, inflammatory, and oxidative stress indices in patients with metabolic syndrome: a systematic review and meta-analysis of randomized controlled trials.Frontiers in endocrinology · 2023Pooled it
- The Effect of a Low-Energy and Low-Glycemic Diet on Adipose Tissue Metabolism and Energy Expenditure in Women with Excess Body Weight.Nutrients · 2025Trial
- Private garden exposure and public park access in relation to type-2 diabetes incidence: a UK Biobank cohort study.BMC public health · 2026Article
- Physical activity, sedentary behaviour, and anthropometric profiles in women with and without insulin resistance: a cross-sectional study.BMC women's health · 2026Article
- Abdominal Obesity Phenotypes and Incidence of Type 2 DM, Cardiovascular Outcomes and All-Cause Mortality-A Systematic Review and Meta-Analysis.Health science reports · 2026Review
- Assessment of Machine Learning Model Performance for Clinical Prediction of Insulin Resistance in the Study of Cardiovascular Risk in Adolescents-ERICA.Journal of clinical medicine · 2026Article
- 3D body shape-based phenotyping for precision risk stratification of metabolic syndrome.Lipids in health and disease · 2026Article
- Efficacy and safety of lower-carbohydrate dietary patterns for metabolic associated fatty liver disease: evidence from randomized controlled trials with grade analysis.Nutrition & metabolism · 2026Article
- Joint effects of waist circumference trajectories and aging with risk of heart disease.BMC cardiovascular disorders · 2026Article
- Elevated Visceral Adiposity Index is Associated with Reproductive Endocrine Characteristics, and Adverse Pregnancy Outcomes in Chinese Women with Polycystic Ovary Syndrome.International journal of women's health · 2026Article
- Machine learning-based diagnostic models for prevalent metabolic syndrome among patients with disuse muscle atrophy: a comparative study of seven algorithms.Frontiers in endocrinology · 2026Article
- Exploring the Therapeutic Potential of SGLT-2 Inhibitors in Managing Metabolic Syndrome: A Narrative Review.Current drug research reviews · 2026Review
- Predicting metabolic syndrome in adolescents from device-measured 24-h movement behaviors: a machine learning approach.Frontiers in public health · 2026Article
- Role of Sex Hormones in Mediating Adiposity Changes From Weight Loss in People With Type 2 Diabetes: Look AHEAD Sex Hormone Study.The Journal of clinical endocrinology and metabolism · 2025Article
- Waist Circumference as an Independent Marker of Insulin Resistance: Evidence from a Nationwide Korean Population Study.Journal of clinical medicine · 2025Article
- Effectiveness of Arm Swing Exercise on Comprehensive Health Outcomes: A Systematic Review and Meta-Analysis.Healthcare (Basel, Switzerland) · 2025Review
- A Holistic Approach to Metabolic Health Assessment-Analysis of Bioimpedance, Blood, and Saliva Biochemistry in Population Studies-A Pilot Study.Metabolites · 2025Article
- Association Between Skeletal Muscle Mass Indices and Cognitive Function Among Inpatients With Stable Schizophrenia.Psychiatry investigation · 2025Article
- Cardiovascular function in women with previous gestational diabetes mellitus and dysglycemia at 5 months postpartum.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2025Article
- Prevalence and Determinants of Malnutrition in Community-Dwelling Adults Aged 65 and over in Eastern Türkiye: A Cross-Sectional Study.Nutrients · 2025Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic syndrome (Met-S) is considered one of the most important health problems of the 21st century. It includes a group of metabolic disorders that increase the risk of cardiovascular diseases such as overweight and obesity, elevated lipid profile and blood pressure and insulin resistance (IR). Based on the information mentioned above in which there seems to be a relationship between IR and Met-S, the objective of this work was twofold: on the one hand, to assess the relationship between the values of different insulin resistance risk scales and Met-S determined with three different scales, and on the other, to determine whether any of the components of Met-S predispose more to the appearance of IR.
methodsA descriptive cross-sectional study of 418,343 workers. Waist circumference was measured and evaluated together with six formulas to assess the insulin resistance index. Categorical variables were evaluated by calculating the frequency and distribution of each one. For quantitative variables, mean and standard deviation were determined, and Student's t-test was applied, while for qualitative variables, the chi-square test was performed. The usefulness of the different risk scales for insulin resistance for predicting metabolic syndrome was evaluated using ROC curves, the area under the curve (AUC), as well as their cut-off points for sensitivity, specificity, and the Youden index.
resultsPeople with metabolic syndrome applying any criteria had higher values in the IR risk scales. The different IR scales made it possible to adequately classify people with metabolic syndrome. Of the three definitions of Met-S, the one that showed the greatest relationship with IR was IDF.
conclusionsMost risk scales for insulin resistance enable the presence of metabolic syndrome to be adequately classified, finding the best ones if the International Diabetes Federation (IDF) criteria are applied. Of the elements included in the Met-S, the one that seems to increase the risk of presenting IR the most is waist circumference; hence, the Met-S definition that is most related to IR is that of the IDF, which is the only one of the three in which a high value of waist circumference is necessary to be able to diagnose Met-S. Waist circumference can be considered the central essential component for detecting insulin resistance and, therefore, the early detection of metabolic syndrome.
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