Concordance and discriminatory capacity of two metabolic health definitions for cardiometabolic outcomes across BMI categories: Evidence from 100,000 Mexican adults
Adolfo Ruiz-Ballesteros, Víctor Manuel Treviño Alvarado, Álvaro Colín Oviedo, Guillermo Torre-Amione, Ana Laura de la Garza
{"title":"Concordance and discriminatory capacity of two metabolic health definitions for cardiometabolic outcomes across BMI categories: Evidence from 100,000 Mexican adults","authors":"Adolfo Ruiz-Ballesteros, Víctor Manuel Treviño Alvarado, Álvaro Colín Oviedo, Guillermo Torre-Amione, Ana Laura de la Garza","doi":"10.1016/j.cnd.2026.08.102","DOIUrl":null,"url":null,"abstract":"<div><h3>Background/objective</h3><div>Metabolic health (MH) lacks a universal definition, leading to heterogeneity in cardiometabolic phenotyping. This study evaluated the concordance between the MetS-based and empirically derived Zembic et al. definitions, and their discriminatory capacity – along with cardiometabolic indices – for cardiovascular disease (CVD), fatty liver disease (FLD), and chronic kidney disease (CKD) across BMI categories in Mexican adults.</div></div><div>Metabolic health (MH) lacks a universal definition, leading to heterogeneity in cardiometabolic phenotyping. This study evaluated the concordance between the MetS-based and empirically derived Zembic et al. definitions, and their discriminatory capacity – along with cardiometabolic indices – for cardiovascular disease (CVD), fatty liver disease (FLD), and chronic kidney disease (CKD) across BMI categories in Mexican adults.</div><div><h3>Methods</h3><div>A cross-sectional analysis was conducted using data from the oriGen project. MH was defined using two criteria: (1) the harmonized MetS-based definition (0–1 component<!--> <!-->=<!--> <!-->MH); and (2) the Zembic definition (absence of diabetes, elevated blood pressure, and high waist-to-hip ratio<!--> <!-->=<!--> <!-->MH). Agreement was assessed with Cohen's kappa (κ). Discriminatory capacity for self-reported CVD, FLD and CKD was evaluated using AUC (DeLong method), and associations through logistic regression adjusted for age and sex. Additionally, 28 cardiometabolic indices were assessed for the same outcomes. This study was approved by the research committee of “Centro Médico Zambrano Hellion, TecSalud” (approval letter No. 382-2026-CI-R).</div></div><div>A cross-sectional analysis was conducted using data from the oriGen project. MH was defined using two criteria: (1) the harmonized MetS-based definition (0–1 component<!--> <!-->=<!--> <!-->MH); and (2) the Zembic definition (absence of diabetes, elevated blood pressure, and high waist-to-hip ratio<!--> <!-->=<!--> <!-->MH). Agreement was assessed with Cohen's kappa (κ). Discriminatory capacity for self-reported CVD, FLD and CKD was evaluated using AUC (DeLong method), and associations through logistic regression adjusted for age and sex. Additionally, 28 cardiometabolic indices were assessed for the same outcomes. This study was approved by the research committee of “Centro Médico Zambrano Hellion, TecSalud” (approval letter No. 382-2026-CI-R).</div><div><h3>Results</h3><div>A total of 100,331 adults were included. CVD was present in 9,821 participants (9.8%), FLD in 5,105 (5.1%), and CKD in 758 (0.8%). MetS-based definition classified 17,557 (17.5%) participants as MH, compared with 29,448 (29.3%) using the Zembic definition. Agreement between definitions was moderate (κ<!--> <!-->=<!--> <!-->0.43) and declined progressively with BMI: normal-weight (κ<!--> <!-->=<!--> <!-->0.50), overweight (κ<!--> <!-->=<!--> <!-->0.27), and obesity (κ<!--> <!-->=<!--> <!-->0.11). Zembic definition better discriminated all outcomes across BMI categories, except for FLD in normal-weight individuals, where MetS-based definition performed better (AUC 0.597 vs. 0.564, <em>P</em> <!--><<!--> <!-->0.001). TIMI index showed the highest discriminatory capacity for CVD (AUC 0.645) and CKD (AUC 0.653), while fat mass index performed best for FLD (AUC 0.640). Metabolically unhealthy phenotype was associated with all outcomes under both definitions (<em>P</em> <!--><<!--> <!-->0.001), with Zembic definition yielding higher odds ratios.</div></div><div>A total of 100,331 adults were included. CVD was present in 9,821 participants (9.8%), FLD in 5,105 (5.1%), and CKD in 758 (0.8%). MetS-based definition classified 17,557 (17.5%) participants as MH, compared with 29,448 (29.3%) using the Zembic definition. Agreement between definitions was moderate (κ<!--> <!-->=<!--> <!-->0.43) and declined progressively with BMI: normal-weight (κ<!--> <!-->=<!--> <!-->0.50), overweight (κ<!--> <!-->=<!--> <!-->0.27), and obesity (κ<!--> <!-->=<!--> <!-->0.11). Zembic definition better discriminated all outcomes across BMI categories, except for FLD in normal-weight individuals, where MetS-based definition performed better (AUC 0.597 vs. 0.564, <em>P</em> <!--><<!--> <!-->0.001). TIMI index showed the highest discriminatory capacity for CVD (AUC 0.645) and CKD (AUC 0.653), while fat mass index performed best for FLD (AUC 0.640). Metabolically unhealthy phenotype was associated with all outcomes under both definitions (<em>P</em> <!--><<!--> <!-->0.001), with Zembic definition yielding higher odds ratios.</div><div><h3>Conclusion</h3><div>These findings suggest that the definition of metabolic health substantially influences phenotyping. The Zembic definition showed superior discrimination capacity, supporting its potential as a clinically meaningful framework for risk stratification in precision nutrition and obesity research, where indices such as TIMI index and fat mass index may enhance outcome discrimination.</div></div><div>These findings suggest that the definition of metabolic health substantially influences phenotyping. The Zembic definition showed superior discrimination capacity, supporting its potential as a clinically meaningful framework for risk stratification in precision nutrition and obesity research, where indices such as TIMI index and fat mass index may enhance outcome discrimination.</div>","PeriodicalId":43722,"journal":{"name":"CAHIERS DE NUTRITION ET DE DIETETIQUE","volume":"61 ","pages":"Page e54"},"PeriodicalIF":0.3000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CAHIERS DE NUTRITION ET DE DIETETIQUE","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0007996026001781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/24 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background/objective
Metabolic health (MH) lacks a universal definition, leading to heterogeneity in cardiometabolic phenotyping. This study evaluated the concordance between the MetS-based and empirically derived Zembic et al. definitions, and their discriminatory capacity – along with cardiometabolic indices – for cardiovascular disease (CVD), fatty liver disease (FLD), and chronic kidney disease (CKD) across BMI categories in Mexican adults.
Metabolic health (MH) lacks a universal definition, leading to heterogeneity in cardiometabolic phenotyping. This study evaluated the concordance between the MetS-based and empirically derived Zembic et al. definitions, and their discriminatory capacity – along with cardiometabolic indices – for cardiovascular disease (CVD), fatty liver disease (FLD), and chronic kidney disease (CKD) across BMI categories in Mexican adults.
Methods
A cross-sectional analysis was conducted using data from the oriGen project. MH was defined using two criteria: (1) the harmonized MetS-based definition (0–1 component = MH); and (2) the Zembic definition (absence of diabetes, elevated blood pressure, and high waist-to-hip ratio = MH). Agreement was assessed with Cohen's kappa (κ). Discriminatory capacity for self-reported CVD, FLD and CKD was evaluated using AUC (DeLong method), and associations through logistic regression adjusted for age and sex. Additionally, 28 cardiometabolic indices were assessed for the same outcomes. This study was approved by the research committee of “Centro Médico Zambrano Hellion, TecSalud” (approval letter No. 382-2026-CI-R).
A cross-sectional analysis was conducted using data from the oriGen project. MH was defined using two criteria: (1) the harmonized MetS-based definition (0–1 component = MH); and (2) the Zembic definition (absence of diabetes, elevated blood pressure, and high waist-to-hip ratio = MH). Agreement was assessed with Cohen's kappa (κ). Discriminatory capacity for self-reported CVD, FLD and CKD was evaluated using AUC (DeLong method), and associations through logistic regression adjusted for age and sex. Additionally, 28 cardiometabolic indices were assessed for the same outcomes. This study was approved by the research committee of “Centro Médico Zambrano Hellion, TecSalud” (approval letter No. 382-2026-CI-R).
Results
A total of 100,331 adults were included. CVD was present in 9,821 participants (9.8%), FLD in 5,105 (5.1%), and CKD in 758 (0.8%). MetS-based definition classified 17,557 (17.5%) participants as MH, compared with 29,448 (29.3%) using the Zembic definition. Agreement between definitions was moderate (κ = 0.43) and declined progressively with BMI: normal-weight (κ = 0.50), overweight (κ = 0.27), and obesity (κ = 0.11). Zembic definition better discriminated all outcomes across BMI categories, except for FLD in normal-weight individuals, where MetS-based definition performed better (AUC 0.597 vs. 0.564, P < 0.001). TIMI index showed the highest discriminatory capacity for CVD (AUC 0.645) and CKD (AUC 0.653), while fat mass index performed best for FLD (AUC 0.640). Metabolically unhealthy phenotype was associated with all outcomes under both definitions (P < 0.001), with Zembic definition yielding higher odds ratios.
A total of 100,331 adults were included. CVD was present in 9,821 participants (9.8%), FLD in 5,105 (5.1%), and CKD in 758 (0.8%). MetS-based definition classified 17,557 (17.5%) participants as MH, compared with 29,448 (29.3%) using the Zembic definition. Agreement between definitions was moderate (κ = 0.43) and declined progressively with BMI: normal-weight (κ = 0.50), overweight (κ = 0.27), and obesity (κ = 0.11). Zembic definition better discriminated all outcomes across BMI categories, except for FLD in normal-weight individuals, where MetS-based definition performed better (AUC 0.597 vs. 0.564, P < 0.001). TIMI index showed the highest discriminatory capacity for CVD (AUC 0.645) and CKD (AUC 0.653), while fat mass index performed best for FLD (AUC 0.640). Metabolically unhealthy phenotype was associated with all outcomes under both definitions (P < 0.001), with Zembic definition yielding higher odds ratios.
Conclusion
These findings suggest that the definition of metabolic health substantially influences phenotyping. The Zembic definition showed superior discrimination capacity, supporting its potential as a clinically meaningful framework for risk stratification in precision nutrition and obesity research, where indices such as TIMI index and fat mass index may enhance outcome discrimination.
These findings suggest that the definition of metabolic health substantially influences phenotyping. The Zembic definition showed superior discrimination capacity, supporting its potential as a clinically meaningful framework for risk stratification in precision nutrition and obesity research, where indices such as TIMI index and fat mass index may enhance outcome discrimination.
期刊介绍:
Les Cahiers de nutrition et de diététique sont le lieu de communication reconnu pour les médecins spécialistes de la nutrition, les diététiciens, les professionnels et les chercheurs de agro-alimentaire, les enseignants et les étudiants. Les Cahiers de nutrition et de diététique abordent les sujets se rapportant à la biologie générale, à la médecine et à la nutrition, aux aliments, aux comportements alimentaires, à la diététique pratique, ainsi que des thèmes variés : activité physique, apports nutritionnels conseillés, dénutrition, alcool, obésité de enfant, aliments à effet santé, plaisir alimentaire, restauration collective, goûters et collations, allergies alimentaires...