التفاصيل البيبلوغرافية
| العنوان: |
Cardiometabolic risk stratification using a novel obesity phenotyping system based on body adiposity and waist circumference. |
| المؤلفون: |
Gómez-Ambrosi, Javier1,2,3 (AUTHOR) jagomez@unav.es, Catalán, Victoria1,2,3 (AUTHOR), Ramírez, Beatriz1,2,3 (AUTHOR), Salmón-Gómez, Laura1,2 (AUTHOR), Marugán-Pinos, Rocío1 (AUTHOR), Rodríguez, Amaia1,2,3 (AUTHOR), Becerril, Sara1,2,3 (AUTHOR), Aguas-Ayesa, Maite2,4 (AUTHOR), Yárnoz-Esquíroz, Patricia3,4 (AUTHOR), Olazarán, Laura3,4 (AUTHOR), Perdomo, Carolina M.2,4 (AUTHOR), Silva, Camilo2,3,4 (AUTHOR), Escalada, Javier2,3,4 (AUTHOR), Frühbeck, Gema1,2,3,4 (AUTHOR) |
| المصدر: |
European Journal of Internal Medicine. Jun2024, Vol. 124, p54-60. 7p. |
| مصطلحات موضوعية: |
*WAIST circumference, *OBESITY, *BODY composition, *BODY weight, *METABOLIC syndrome, *ADIPOSE tissue diseases |
| مستخلص: |
• Obesity is a state of increased adipose tissue, not body weight. • BMI inaccurately diagnoses obesity when compared to the determination of body fat%. • We propose a new classification system combining actual BF% and waist circumference. • This system allows to gradually estimating the cardiometabolic risk of the patients. The estimation of obesity-associated cardiometabolic risk does not usually take into account body composition or the distribution of adiposity. The aim of the present study was to assess the clinical usefulness of a novel obesity phenotyping system based on the combination of actual body fat percentage (BF%) and waist circumference (WC) according to the cardiometabolic risk estimation. A classification matrix combining BF% and WC as measures of both amount and distribution of adiposity establishing nine body phenotypes (3 BF% x 3 WC) was developed. Individuals were grouped in five different cardiometabolic risk phenotypes. We conducted a validation study in a large cohort of White subjects from both genders representing a wide range of ages and adiposity (n = 12,754; 65 % females, aged 18–88 years). The five risk groups using the matrix combination of BF% and WC exhibited a robust linear distribution regarding cardiometabolic risk, estimated by the Metabolic Syndrome Severity Score, showing a continuous increase between groups with significant differences (P < 0.001) among them, as well as in other cardiometabolic risk factors. An additional 24 % of patients at very high risk was detected with the new classification system proposed (P < 0.001) as compared to an equivalent matrix using BMI and WC instead of BF% and WC. A more detailed phenotyping should be a priority in the diagnosis and management of patients with obesity. Our classification system allows to gradually estimate the cardiometabolic risk according to BF% and WC, thus representing a novel and useful tool for both research and clinical practice. [Display omitted] [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
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