ArticlePloS one2014
Profile of individuals who are metabolically healthy obese using different definition criteria. A population-based analysis in the Spanish population.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
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- Precision Medicine for Obesity Treatment.Journal of the Endocrine Society · 2025Review
- Obesity, Metabolic Health, and Diabetic Complications in People With Type 1 Diabetes.Endocrinology, diabetes & metabolism · 2025Article
- Exploring metabolically healthy obesity: prevalence, characteristics, and cardiovascular risk in the Iranian population based on the STEPS 2021.Journal of diabetes and metabolic disorders · 2024Article
- Metabolically Healthy Obesity: Are Interventions Useful?Current obesity reports · 2023Review
- Pathogenesis, Murine Models, and Clinical Implications of Metabolically Healthy Obesity.International journal of molecular sciences · 2022Review
- The Harm of Metabolically Healthy Obese and the Effect of Exercise on Their Health Promotion.Frontiers in physiology · 2022Review
- Correlations between Coffee Consumption and Metabolic Phenotypes, Plasma Folate, and Vitamin B12: NHANES 2003 to 2006.Nutrients · 2021Article
- Deciphering Biochemical and Molecular Signatures Associated with Obesity in Context of Metabolic Health.Genes · 2021Article
- Associations of Metabolic/Obesity Phenotypes with Insulin Resistance and C-Reactive Protein: Results from the CNTR Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- Comparing an adiposopathy approach with four popular classifications schemes to categorize the metabolic profile of postmenopausal women.Journal of physiology and biochemistry · 2020Article
- A Metabolically Healthy Profile Is a Transient Stage When Exercise and Diet Are Not Supervised: Long-Term Effects in the EXERDIET-HTA Study.International journal of environmental research and public health · 2020Article
- Inadequacy of Vitamin D Nutritional Status in Individuals with Metabolically Unhealthy Obesity Phenotype: The Relevance of Insulin Resistance.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Irisin and markers of metabolic derangement in non-diabetic Caucasian subjects with stage I-II obesity during early aging.PloS one · 2020Article
- Metabolically healthy obesity: facts and fantasies.The Journal of clinical investigation · 2019Review
- Metabolically Healthy Obesity and Bariatric Surgery.Obesity surgery · 2019Review
- How much insulin resistance in polycystic ovary syndrome? Comparison of HOMA-IR and insulin resistance (Belfiore) index models.Archives of medical science : AMS · 2019Article
- Genetic and nongenetic factors explaining metabolically healthy and unhealthy phenotypes in participants with excessive adiposity: relevance for personalized nutrition.Therapeutic advances in endocrinology and metabolism · 2019Article
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6 authors.
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Abstract
backgroundObesity is associated with numerous metabolic complications such as diabetes mellitus type 2, dyslipidemia, hypertension, cardiovascular diseases and several forms of cancer. Our goal was to compare different criteria to define the metabolically healthy obese (MHO) with metabolically unhealthy obese (MUHO) subjects. We applied Wildman (W), Wildman modified (WM) with insulin resistance (IR) with cut-off point ≥ 3.8 and levels of C- Reactive Protein (CRP) ≥ 3 mg/l; and Consensus Societies (CS) criteria. In these subjects cardiovascular-risk (CV-risk) was estimated by Framingham score and SCORE for MHO and MUHO.
methodsA cross-sectional study was conducted in Spanish Caucasian adults. A total of 3,844 subjects completed the study, 45% males, aged 35-74 years. Anthropometric/biochemical variables were measured. Obesity was defined as BMI: ≥ 30 Kg/m(2).
resultsThe overall prevalence of obesity in our population was 27.5%, (23.7%/males and 30.2%/females). MHO prevalence according to W, WM, and CS definition criteria were: 9.65%, 16.29%, 39.94% respectively in obese participants. MHO has lower waist circumference (WC) measurements than MUHO. The estimated CV-risks by Framingham and SCORE Project charts were lower in MHO than MUHO subjects. WC showed high specificity and sensitivity in detecting high estimated CV risk by Framingham. However, WHR showed high specificity and sensitivity in detecting CV risk according to SCORE Project. MHO subjects as defined by any of the three criteria had higher adiponectin levels after adjustment by sex, age, WC, HOMA IR and Framingham or SCORE risks. This relationship was not found for CRP circulating levels neither leptin levels.
conclusionsMHO prevalence is highly dependent on the definition criteria used to define those individuals. Results showed that MHO subjects had less WC, and a lower estimated CV-risk than MUHO subjects. Additionally, the high adiponectin circulating levels in MHO may suggest a protective role against developing an unhealthy metabolic state.
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