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Arsenic Exposure and Incidence of Type 2 Diabetes in Southwestern American Indians.
- Source :
-
American Journal of Epidemiology . May2013, Vol. 177 Issue 9, p962-969. 8p. - Publication Year :
- 2013
-
Abstract
- Association of urinary arsenic concentration with incident diabetes was examined in American Indians from Arizona who have a high prevalence of type 2 diabetes and were screened for diabetes between 1982 and 2007. The population resides where drinking water contains arsenic at concentrations above federally recommended limits. A total of 150 nondiabetic subjects aged ≥25 years who subsequently developed type 2 diabetes were matched by year of examination and sex to 150 controls who remained nondiabetic for ≥10 years. Total urinary arsenic concentration, adjusted for urinary creatinine level, ranged from 6.6 µg/L to 123.1 µg/L, and inorganic arsenic concentration ranged from 0.1 µg/L to 36.0 µg/L. In logistic regression models adjusted for age, sex, body mass index, and urinary creatinine level, the odds ratios for incident diabetes were 1.11 (95% confidence interval (CI): 0.79, 1.57) and 1.16 (95% CI: 0.89, 1.53) for a 2-fold increase in total arsenic and inorganic arsenic, respectively. Categorical analyses suggested a positive relationship between quartiles of inorganic arsenic and incident diabetes (P = 0.056); post-hoc comparison of quartiles 2–4 with quartile 1 revealed 2-fold higher odds of diabetes in the upper quartiles (OR = 2.14, 95% CI: 1.19, 3.85). Modestly elevated exposure to inorganic arsenic may predict type 2 diabetes in American Indians. Larger studies that include measures of speciated arsenic are required for confirmation. [ABSTRACT FROM PUBLISHER]
- Subjects :
- *TYPE 2 diabetes risk factors
*MEDICAL screening
*ARSENIC
*COLLECTION & preservation of biological specimens
*COMPARATIVE studies
*CONFIDENCE intervals
*STATISTICAL correlation
*CREATININE
*EPIDEMIOLOGY
*INDIGENOUS peoples of the Americas
*LONGITUDINAL method
*MASS spectrometry
*REGRESSION analysis
*RESEARCH funding
*STATISTICS
*T-test (Statistics)
*WATER supply
*LOGISTIC regression analysis
*DATA analysis
*ENVIRONMENTAL exposure
*SECONDARY analysis
*PREDICTIVE validity
*CONTROL groups
*INTER-observer reliability
*DISEASE incidence
*DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 00029262
- Volume :
- 177
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- American Journal of Epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 87375668
- Full Text :
- https://doi.org/10.1093/aje/kws329