Sociodemographic Variables for Predicting Diabetes in Panama

S ociodemographic variables (SDVs) are an important component in the epidemiological profile of diabetes mellitus (DM); however, they are not critical for the onset of the disease, since we must consider multicausality (1), as well as other risk factors related to lifestyles and genetics. In Panama, in 2012, concluded the first population-based survey of risk factors associated with cardiovascular disease in adults $18 years (PREFREC). This was a cross-sectional, descriptive study, with a single-stage, probabilistic, and ran-domized sampling strategy with a multivar-iate stratification. The research evaluated SDVs such as living in urban, rural, and indigenous areas; sex; age; social and cultural groups (SCGs) (white, African Panamanian [Afropanamanian], Asian, and mestizo), educational level, and civil status. It also addressed biological and risk factors such as the DM (2) in a representative sample of 3,590 individuals. Having as a reference that population growth, aging, and urban development are social determinants related to the increase in DM (3), the SDVs studied in PREFREC were used to estimate the probability of developing DM among Panama-nians by using multivariate analysis (logistic regression model). Relative risk was applied for risk analysis and CIs for a 95% level. Statistical significance (P # 0.05) and the maximum likelihood ratio were used in the selection of the model. Case subjects were considered to have DM if they had estimated probabilities of $0.09 (median value). The analysis suggests that being a member of an indigenous population is a protective SDV for developing DM compared with other SCGs (RR 0.54 [95% CI 0.35–0.84]). Living in indigenous area was also a protective factor with respect to those living in urban and rural areas (RR 0.35 [95% CI 0.17–0.73]). In this regard, the country's experience has been that many indigenous populations, once they move from their communities to urban areas, modify their habits, adopting those practiced in the city, so that they tend to develop obesity, DM, and other elements of metabolic syndrome, as has been reported by other authors (4,5). The variables that contributed significantly to the model were the area, sex, age, and SCG (maximum likelihood ratio 2,734; P 5 0.0000), which explain the 65.0% of DM cases studied in PREFREC (221 of 340), so we consider that the use of this model can serve as a tool in a clinical care for estimating the probability a Panamanian has of developing DM. In conclusion, being a native, of female sex, and …