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Rev Invest Clin ; 53(2): 129-35, 2001.
Article in Spanish | MEDLINE | ID: mdl-11421108

ABSTRACT

INTRODUCTION: Studies about migration to industrialized countries have shown an increased prevalence of diabetes, obesity and dyslipidaemias, all of them related to android body fat distribution. Migration status might be influence body fat distribution but it has not been sufficiently investigated. The aim of this study is to determine the relationship between body fat distribution and migration from rural to urban areas in Mexico. MATERIAL AND METHODS: This sequential sample of 433 women were seen in the outpatient obesity clinic of four federal states: Tabasco (n = 81), Mexico City (n = 166), Coahuila (n = 80), and Yucatan (n = 106). Migration history from rural to urban area, familial history of diabetes, ages of onset of obesity, height and weight circumferences were obtained. A regression logistic model was used and maintained as dependent variable body fat distribution. Age and federal state were considered as confounders and they adjusted the model. RESULTS: Migrating women from rural to urban area were 121 (27.9%). The waist circumference was higher in Tabasco (102.2 +/- 12 cm), and lesser in Yucatan (93.6 +/- 15 cm, p < 0.001); no differences were found for hip circumference. The logistic regression model showed that body fat distribution is associated to migration from rural to urban area, and also to diabetes of mother and age of onset of obesity. CONCLUSIONS: Migrating from rural to urban area is a risk factor for android body fat distribution and this risk increases with age, history of diabetes in mother and adulthood onset o obesity.


Subject(s)
Body Composition , Emigration and Immigration/statistics & numerical data , Obesity/pathology , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Abdomen/pathology , Age of Onset , Analysis of Variance , Cross-Sectional Studies , Diabetes Mellitus/epidemiology , Female , Humans , Logistic Models , Mexico , Obesity/etiology , Odds Ratio , Socioeconomic Factors
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