Hernández-Cuervo P, Flores-Chávez A, Rocha-Muñoz AD, Félix-Hernández F, Salazar-Hernández DA, Urzúa-Lozano PE, Torres-Zaragoza YP, Mendoza-Vázquez G, Ramírez-Villafaña M, Fajardo-Robledo NS, Díaz-Toscano ML, Ponce-Guarneros JM, Díaz-Rizo CV, De la Cerda-Trujillo LF, Ruiz-Padilla AJ, Salazar-Páramo M, Cabrera-Pivaral C, Nava-Zavala AH, González-López LC, Gámez-Nava JI

Language: Spanish
References: 15
Page: 6-15
PDF size: 58.61 Kb.

ABSTRACT

Objective: To describe body composition determinated by DXA in women attending to the Mexican Institute of Social Security (IMSS) referred to a densitometry service. Material and methods: We evaluated 148 Mexican women referred to the densitometry service in a tertiary care hospital, Hospital de Especialidades, Centro Médico Nacional de Occidente in Guadalajara, México. Body mass index (BMI) was calculated using the equation weight/height. Fat mass % was measured by Dual X-Ray Absorptiometry (DXA). Results: A total of 148 women were included. They had a mean age 48.7 ± 11.3 years and a BMI of 26.5 ± 4.4 kg/m²; 43.2% of women had overweight, 15.5% obesity and 41.2% a normal weight according to the World Health Organization (WHO) criteria. Waist circumference had a mean of 85 ± 10.5 cm, being abnormal in 37.2%. The results of body composition was as follows, fat mass had a mean of 27 ± 6.5 kg, being abnormal in 87.2%. In the analysis of variance (ANOVA) higher parameters of waist circumference (77.1 vs 87.3, p ≤ 0.001), waist-hip index (0.79 vs 0.84, p ≤ 0.001), kg of lean mass (33.5 vs 38.6, p ≤ 0.001) and fat mass (21.9 vs 48, p ≤ 0.001) were observed in the group of obesity compared with the group of normal weight. Body fat % correlated with higher weight (r = 0.63, p ≤ 0.001), BMI (r = 0.62, p ≤ 0.001), waist circumference (r = 0.70, p ≤ 0.001), age (r = 0.21, p = 0.001), and triglycerids levels (r = 0.27, p = 0.02). Conclusions: This study shows a high proportion of obesity and high percentage of patients with abnormal parameters of fat mass. Better efforts should identify those variables that affect the high proportion of obesity in our population in order to plan educative strategies for prevention of this relevant problem for the Public Health.

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