P874 - “CHANGES IN TOTAL AND REGIONAL BODY COMPOSITION ARE NOT PREDICTORS OF IMPROVEMENT IN METABOLIC HEALTH MARKERS AFTER 12 WEEKS OF CALORIC RESTRICTION (CR) IN ADULT CHILEAN WOMEN WITH OVERWEIGHT AND OBESITY”.

P874

“CHANGES IN TOTAL AND REGIONAL BODY COMPOSITION ARE NOT PREDICTORS OF IMPROVEMENT IN METABOLIC HEALTH MARKERS AFTER 12 WEEKS OF CALORIC RESTRICTION (CR) IN ADULT CHILEAN WOMEN WITH OVERWEIGHT AND OBESITY”.

M. J. Arias Téllez^1,*, G. Carrasco¹, F. Carrasco¹, G. Pons², L. Araya³, J. Soto Sanchez⁴, J. Galgani^3,5

¹Departament of Nutrition, Faculty of Medicine, University of Chile, ²Department of Physiology, Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, ³Department of Nutrition, Diabetes and Metabolism, Pontificia Universidad Católica de Chile, ⁴Centro de Biomedicina, Laboratorio de Actividad Física, Ejercicio y Salud, Universidad Mayor, ⁵Department of Health Sciences, Department of Nutrition and Dietetics, Pontificia Universidad Católica de Chile, Santiago, Chile

Rationale: There is no evidence that the total and regional fat mass changes are associated with improved metabolic health markers in adult Chilean women with excess weight after 12 weeks of CR.

Methods: 26 adult women (43 y, body mass index  32.8 kg/m²), physically inactive, healthy, and medication-free, underwent CR for 12 weeks. Before and after the intervention, total fat mass (% and kg), regional fat mass (gr, Android, Gynoid, Trunk, Arm, and Leg), and total lean mass (kg) were evaluated by DXA. In addition, antropometry and metabolic health markers (glucose, insulin, total cholesterol, triglycerides, high-density lipoprotein cholesterol (HDL-C), and blood pressure), and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) were determinated. T-test was used for related samples, and linear regression models were performed to analyze predictors of metabolic health improvement. SPSS 23.0 statistical software was used and a significance level of p < 0.05 was used.

Results: An intervention of CR for 12 weeks reduced the total and regional fat mass (all p<0.001), except the arm region. In addition, total lean mass was reduced after intervention (p=0.018). However, none of the changes in body composition were associated with the changes in metabolic health markers. In fact, all metabolic health markers' baseline variable was its own change predictor. Besides, baseline fat mass % predicted change in glucose, HDL-C, and triglycerides.

Conclusion: Changes in anthropometry and body composition were not associated with changes in metabolic health markers. Then, in this study, it is possible to speculate that qualitative changes in diet, such as selecting healthier sources of fats and carbohydrates, could have impacted metabolic health beyond variations in weight and body composition after CR intervention. 

Disclosure of Interest: None declared