Int J Health Geogr - Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study.

Tópicos

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Resumo

CKGROUND: European ecologic studies suggest higher socioeconomic status is associated with higher incidence of type 1 diabetes. Using data from a case-control study of diabetes among racially/ethnically diverse youth in the United States (U.S.), we aimed to evaluate the independent impact of neighborhood characteristics on type 1 diabetes risk. Data were available for 507 youth with type 1 diabetes and 208 healthy controls aged 10-22 years recruited in South Carolina and Colorado in 2003-2006. Home addresses were used to identify Census tracts of residence. Neighborhood-level variables were obtained from 2000 U.S. Census. Multivariate generalized linear mixed models were applied.RESULTS: Controlling for individual risk factors (age, gender, race/ethnicity, infant feeding, birth weight, maternal age, number of household residents, parental education, income, state), higher neighborhood household income (p = 0.005), proportion of population in managerial jobs (p = 0.02), with at least high school education (p = 0.005), working outside the county (p = 0.04) and vehicle ownership (p = 0.03) were each independently associated with increased odds of type 1 diabetes. Conversely, higher percent minority population (p = 0.0003), income from social security (p = 0.002), proportion of crowded households (0.0497) and poverty (p = 0.008) were associated with a decreased odds.CONCLUSIONS: Our study suggests that neighborhood characteristics related to greater affluence, occupation, and education are associated with higher type 1 diabetes risk. Further research is needed to understand mechanisms underlying the influence of neighborhood context.

Resumo Limpo

ckground european ecolog studi suggest higher socioeconom status associ higher incid type diabet use data casecontrol studi diabet among raciallyethn divers youth unit state us aim evalu independ impact neighborhood characterist type diabet risk data avail youth type diabet healthi control age year recruit south carolina colorado home address use identifi census tract resid neighborhoodlevel variabl obtain us census multivari general linear mix model appliedresult control individu risk factor age gender raceethn infant feed birth weight matern age number household resid parent educ incom state higher neighborhood household incom p proport popul manageri job p least high school educ p work outsid counti p vehicl ownership p independ associ increas odd type diabet convers higher percent minor popul p incom social secur p proport crowd household poverti p associ decreas oddsconclus studi suggest neighborhood characterist relat greater affluenc occup educ associ higher type diabet risk research need understand mechan under influenc neighborhood context

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