Scientific publications

Metabolic risk factors in a cohort of young adults and their association with a body-mass index between 22 and 25kg/m2

Estefanía Toledo (a), Juan José Beunza (b), Jorge M. Núñez-Córdoba (b), Maira Bes-Rastrollo (b), Francisco Javier Basterra-Gortari (c), Miguel A. Martínez-González (b)
(a) Department of Preventive Medicine and Public Health, Medical School-Clinica Universitaria, University of Navarra, Pamplona, Navarra, Dept. of Preventive Medicine and Quality Management, Hospital Virgen del Camino, Pamplona, Navarra, Spain, Dept. of Community Health, Brown University, Providence, RI, USA.
(b) Department of Preventive Medicine and Public Health, Medical School-Clinica Universitaria, University of Navarra, Pamplona, Navarra, Spain.
(c) Department of Preventive Medicine and Public Health, Medical School-Clinica Universitaria, University of Navarra, Pamplona, Navarra, Dept. of Endocrinology, Hospital de Navarra, Pamplona, Navarra, Spain.

Magazine: Medicina Clínica

Date: May 9, 2009

Preventive Medicine [SP]

BACKGROUND AND OBJECTIVES
Although health risks associated to excessive body fat increase with small increases in body weight, measurement of body fat is usually grouped in very few categories. The aim of our study was to assess whether the risk for a combined end-point including the incidence of either hypertension and/or type 2 diabetes mellitus and/or the metabolic syndrome was elevated even within the normal limits of body-mass index (BMI).

MATERIAL AND METHODS
We followed up 10,639 initially healthy university graduates participating in the SUN dynamic cohort for a variable period ranging 2 to 6 years. Baseline BMI and physical activity were the major exposures. The combined end-point was defined by the incidence of either hypertension and/or type 2 diabetes and/or the metabolic syndrome during the follow-up period. We fitted non-conditional logistic regression models and nonparametric regression models (restricted cubic splines).

RESULTS
We observed 768 incident cases of the combined outcome (incidence of 16/1000 person-years) and found a monotonic linear association between BMI and the combined end-point. The multivariate-adjusted odds ratios for the combined end-point were 1.4 (95% CI: 1.1-1.7) for BMI 22-24.9 kg/m2, 2.7 (2.1-3.5) for 25-29.9 kg/m2 and 4.0 (2.8-5.6) for 30 kg/m2. We observed a threshold effect in the association between physical activity and the combined end-point multivariate-adjusted odds ratio=0.8 (0.7-0.9) for >15 METs-h/week.

CONCLUSIONS
Our findings suggest that the incidence of metabolic risk factors (hypertension, diabetes mellitus and/or metabolic syndrome) is already increased at a BMI of 22 kg/m2 in young adults. These results deserve consideration for judging whether the cut-off point for normal weight should be lowered.

CITATION  Med Clin (Barc). 2009 May 9;132(17):654-60

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