OBJECTIVE: To study the prevalence and correlates of body size phenotypes in an adult Spanish population. METHODS: We undertook a cross-sectional analysis in a random sample of 2,270 individuals. We defined six body size phenotypes based on body mass index category (normal-weight, 18.5 to 24.9 kg/m2; overweight, 25 to 29.9 kg/m2; obese, ≥30.0 kg/m2) and the presence of ≤1 (metabolically healthy) or ≥2 (metabolically abnormal) cardiometabolic abnormalities: metabolically healthy normal-weight (MHNW), metabolically abnormal normal-weight (MANW), metabolically healthy overweight (MHOW), metabolically abnormal overweight (MAOW), metabolically healthy obese (MHO), and metabolically abnormal obese (MAO). We considered four cardiometabolic abnormalities: systolic and/or diastolic blood pressure ≥130/85 mm Hg, triglycerides ≥150 mg/dL, high-density-lipoprotein cholesterol levels <40/<50 mg/dL in men/women, and elevated glucose (fasting plasma glucose ≥100 mg/dL or previous diabetes). RESULTS: The prevalence of the MHO, MHOW, and MANW phenotypes was 2.2, 13.9, and 7.9%, respectively. Whereas 9.6% of obese and 32.6% of overweight individuals were metabolically healthy, 21.3% of the normal-weight subjects were metabolically abnormal. A multivariate regression model (adjusted for age, sex, and waist circumference) showed that age >40 years, male sex, and higher waist circumference were independently associated with the metabolically abnormal phenotype MANW, whereas younger age, female sex, and lower waist circumference were independently associated with the metabolically healthy phenotypes. CONCLUSION: The prevalence of MHO in our population is low and is more common in women and younger people. In contrast, a high proportion of normal-weight individuals (mainly over 40 years of age) in our population show cardiometabolic abnormalities.
OBJECTIVE: To study the prevalence and correlates of body size phenotypes in an adult Spanish population. METHODS: We undertook a cross-sectional analysis in a random sample of 2,270 individuals. We defined six body size phenotypes based on body mass index category (normal-weight, 18.5 to 24.9 kg/m2; overweight, 25 to 29.9 kg/m2; obese, ≥30.0 kg/m2) and the presence of ≤1 (metabolically healthy) or ≥2 (metabolically abnormal) cardiometabolic abnormalities: metabolically healthy normal-weight (MHNW), metabolically abnormal normal-weight (MANW), metabolically healthy overweight (MHOW), metabolically abnormal overweight (MAOW), metabolically healthy obese (MHO), and metabolically abnormal obese (MAO). We considered four cardiometabolic abnormalities: systolic and/or diastolic blood pressure ≥130/85 mm Hg, triglycerides ≥150 mg/dL, high-density-lipoprotein cholesterol levels <40/<50 mg/dL in men/women, and elevated glucose (fasting plasma glucose ≥100 mg/dL or previous diabetes). RESULTS: The prevalence of the MHO, MHOW, and MANW phenotypes was 2.2, 13.9, and 7.9%, respectively. Whereas 9.6% of obese and 32.6% of overweight individuals were metabolically healthy, 21.3% of the normal-weight subjects were metabolically abnormal. A multivariate regression model (adjusted for age, sex, and waist circumference) showed that age >40 years, male sex, and higher waist circumference were independently associated with the metabolically abnormal phenotype MANW, whereas younger age, female sex, and lower waist circumference were independently associated with the metabolically healthy phenotypes. CONCLUSION: The prevalence of MHO in our population is low and is more common in women and younger people. In contrast, a high proportion of normal-weight individuals (mainly over 40 years of age) in our population show cardiometabolic abnormalities.
Authors: Dariusz Narankiewicz; Josefina Ruiz-Nava; Veronica Buonaiuto; María Isabel Ruiz-Moreno; María Dolores López-Carmona; Luis Miguel Pérez-Belmonte; Ricardo Gómez-Huelgas; María Rosa Bernal-López Journal: Int J Environ Res Public Health Date: 2020-05-18 Impact factor: 3.390
Authors: Lidia Cobos-Palacios; Mónica Muñoz-Úbeda; Maria Isabel Ruiz-Moreno; Alberto Vilches-Perez; Antonio Vargas-Candela; Javier Benítez-Porres; Ana Navarro-Sanz; Maria Dolores Lopez-Carmona; Luis Miguel Pérez-Belmonte; Jaime Sanz-Canovas; Ricardo Gomez-Huelgas; Maria Rosa Bernal-Lopez Journal: Int J Environ Res Public Health Date: 2021-11-13 Impact factor: 3.390