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Vol.3 , No. 5, Publication Date: Jan. 30, 2019, Page: 100-107
 in men. Method: A case-control study in 246 Europoid men aged 30-74 years was conducted. Weight, height, waist and hip perimeters and skinfolds according to standardized protocols were measured. The areas under the ROC curves, the odds ratios and correlations for indicators were calculated. Result: Body mass index (BMI) [AUC: 0.687, 95% CI (0.619-0.715); OR: 3.5]. Waist circumference (WC) [AUC: 0.742, 95% CI (0.679-0.805); OR: 5.9]. Waist-to-height ratio (WHtR) [AUC: 0.780, 95% CI (0.721-0.839); OR: 8.4]. Endomorphy [AUC: 0.721, 95% CI (0.656-0.785); OR: 2.4]. Body fat percentage (%BF) [AUC: 0.774, 95% CI (0.714-0.834); OR: 10.2]. Lean body mass (LBM) [AUC: 0.490, 95% CI (0.413-0.568); OR: 1]. BMI correlated with %BF (0.84), endomorphy (0.80), WC (0.69), WHtR (0.72) and LBM (0.65). WHtR correlated with WC (0.97), %BF (0.92), endomorphy (0.62) and LBM (0.32). %BF correlated with WC (0.86) and endomorphy (0.78). The correlations between WHtR and adiposity-associated indicators were strong (all r ≥ 0.62, p < 0.001). Conclusion: In MI men, adiposity-associated indicators show different discriminatory capability. BMI-defined obesity presents moderate discrimination and association bias that do not lent support their suitability as risk predictor. WHtR and %BF show the highest discriminative abilities and robust anthropometric reasons related with the true biological risk. WHtR is the real metric of risk and expression of unhealthy body fat for the identification of men with increased cardiometabolic risk.&picture=http://www.aascit.org/aascit/decorators/img/journal/829.jpg)
| [1] | Angel Martin Castellanos, Nutrition and Sports Medicine Center, Caceres, Spain; Department of Anatomy, Research Group in Bio-Anthropology and Cardiovascular Sciences, University of Extremadura, Faculty of Nursing and Occupational Therapy, Caceres, Spain. |
| [2] | Pedro Martin Castellanos, Nutrition and Sports Medicine Center, Caceres, Spain; Primary Care Center, Caceres, Spain. |
| [3] | Maria Dolores Cabañas Armesilla, Department of Anatomy and Human Embryology, Research Group in Assessment of Nutritional Status in Human Populations and Clinical, Epidemiological and Health Promotion Applications, Complutense University, Madrid, Spain. |
| [4] | Francisco Javier Barca Duran, Department of Anatomy, Research Group in Bio-Anthropology and Cardiovascular Sciences, University of Extremadura, Faculty of Nursing and Occupational Therapy, Caceres, Spain. |
Objective: The aim was to realize an analysis to identify both the association and plausibility of adiposity-associated indicators on the risk prediction for myocardial infarction (MI) in men. Method: A case-control study in 246 Europoid men aged 30-74 years was conducted. Weight, height, waist and hip perimeters and skinfolds according to standardized protocols were measured. The areas under the ROC curves, the odds ratios and correlations for indicators were calculated. Result: Body mass index (BMI) [AUC: 0.687, 95% CI (0.619-0.715); OR: 3.5]. Waist circumference (WC) [AUC: 0.742, 95% CI (0.679-0.805); OR: 5.9]. Waist-to-height ratio (WHtR) [AUC: 0.780, 95% CI (0.721-0.839); OR: 8.4]. Endomorphy [AUC: 0.721, 95% CI (0.656-0.785); OR: 2.4]. Body fat percentage (%BF) [AUC: 0.774, 95% CI (0.714-0.834); OR: 10.2]. Lean body mass (LBM) [AUC: 0.490, 95% CI (0.413-0.568); OR: 1]. BMI correlated with %BF (0.84), endomorphy (0.80), WC (0.69), WHtR (0.72) and LBM (0.65). WHtR correlated with WC (0.97), %BF (0.92), endomorphy (0.62) and LBM (0.32). %BF correlated with WC (0.86) and endomorphy (0.78). The correlations between WHtR and adiposity-associated indicators were strong (all r ≥ 0.62, p < 0.001). Conclusion: In MI men, adiposity-associated indicators show different discriminatory capability. BMI-defined obesity presents moderate discrimination and association bias that do not lent support their suitability as risk predictor. WHtR and %BF show the highest discriminative abilities and robust anthropometric reasons related with the true biological risk. WHtR is the real metric of risk and expression of unhealthy body fat for the identification of men with increased cardiometabolic risk.
Keywords
Obesity, Myocardial Infarction, Anthropometric Indicator, Body Fat, Cardiometabolic Risk, Risk Prediction, Public Health
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