Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study

被引:35
作者
Liese, Angela D. [1 ,2 ]
Puett, Robin C. [1 ,2 ,3 ,4 ]
Lamichhane, Archana P. [1 ,2 ]
Nichols, Michele D. [1 ,2 ]
Dabelea, Dana [5 ]
Lawson, Andrew B. [6 ]
Porter, Dwayne E. [3 ]
Hibbert, James D. [1 ,2 ]
D'Agostino, Ralph B., Jr. [7 ]
Mayer-Davis, Elizabeth J. [8 ,9 ]
机构
[1] Univ S Carolina, Dept Epidemiol & Biostat, Arnold Sch Publ Hlth, Columbia, SC 29208 USA
[2] Univ S Carolina, Ctr Res Nutr & Hlth Dispar, Arnold Sch Publ Hlth, Columbia, SC 29208 USA
[3] Univ S Carolina, Dept Environm Hlth Sci, Arnold Sch Publ Hlth, Columbia, SC 29208 USA
[4] Univ S Carolina, S Carolina Canc Prevent & Control Program, Columbia, SC 29208 USA
[5] Univ Colorado Denver, Colorado Sch Publ Hlth, Dept Epidemiol, Aurora, CO USA
[6] Med Univ S Carolina, Dept Med, Div Biostat & Epidemiol, Charleston, SC 29425 USA
[7] Wake Forest Univ, Sch Med, Winston Salem, NC 27109 USA
[8] Univ N Carolina, Gillings Sch Global Publ Hlth, Chapel Hill, NC USA
[9] Univ N Carolina, Sch Med, Chapel Hill, NC USA
关键词
Socioeconomic status; Type; 1; diabetes; Risk factors; Youth; BETA-CELL AUTOIMMUNITY; MATERNAL RECALL; MELLITUS; HEALTH; IDDM; EPIDEMIOLOGY; DETERMINANTS; ENVIRONMENT; HYPOTHESIS; CHILDREN;
D O I
10.1186/1476-072X-11-1
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: 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.
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页数:9
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