Dataset Information

Socioeconomic status and the association between arsenic exposure and type 2 diabetes.

ABSTRACT: OBJECTIVE:Evaluate whether arsenic-related diabetes risks differ between people of low and high socioeconomic status (SES). METHODS:We used data collected between October 2007-December 2010 from a population-based cancer case-control study (N?=?1301) in Northern Chile, an area with high arsenic water concentrations (>800?µg/L) and comprehensive records of past exposure. Information on lifetime exposure and potential confounders were obtained using structured interviews, questionnaires, and residential histories. Type 2 diabetes was defined as physician-diagnosed diabetes or oral hypoglycemic medication use. SES was measured using a 14-point scale based on ownership of household appliances, cars, internet access, or use of domestic help. Logistic regression was used to assess the relationship between arsenic and diabetes within strata of SES. RESULTS:Among those with low SES, the odds ratio (OR) for diabetes comparing individuals in the highest to lowest tertile of lifetime average arsenic exposure was 2.12 (95% confidence interval (CI) 1.29-3.49, p?=?0.004). However, those in the high SES group were not at increased risk (OR = 1.12 [95% CI = 0.72-1.73]). CONCLUSIONS:Our findings provide evidence that risks of arsenic-related diabetes may be higher in Chile in people with low versus high SES.

SUBMITTER: Eick SM

PROVIDER: S-EPMC7003534 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Socioeconomic status and the association between arsenic exposure and type 2 diabetes.

Eick Stephanie M SM Ferreccio Catterina C Acevedo Johanna J Castriota Felicia F Cordero José F JF Roh Taehyun T Smith Allan H AH Smith Martyn T MT Steinmaus Craig C

Environmental research 20190306

<h4>Objective</h4>Evaluate whether arsenic-related diabetes risks differ between people of low and high socioeconomic status (SES).<h4>Methods</h4>We used data collected between October 2007-December 2010 from a population-based cancer case-control study (N = 1301) in Northern Chile, an area with high arsenic water concentrations (>800 µg/L) and comprehensive records of past exposure. Information on lifetime exposure and potential confounders were obtained using structured interviews, questionna ...[more]

PMID: 30875511

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Project description:ObjectiveLittle is known about arsenic and diabetes in youth. We examined the association of arsenic with type 1 and type 2 diabetes in the SEARCH for Diabetes in Youth Case-Control (SEARCH-CC) study. Because one-carbon metabolism can influence arsenic metabolism, we also evaluated the potential interaction of folate and vitamin B12 with arsenic metabolism on the odds of diabetes.Research design and methodsSix hundred eighty-eight participants <22 years of age (429 with type 1 diabetes, 85 with type 2 diabetes, and 174 control participants) were evaluated. Arsenic species (inorganic arsenic [iAs], monomethylated arsenic [MMA], dimethylated arsenic [DMA]), and one-carbon metabolism biomarkers (folate and vitamin B12) were measured in plasma. We used the sum of iAs, MMA, and DMA (∑As) and the individual species as biomarkers of arsenic concentrations and the relative proportions of the species over their sum (iAs%, MMA%, DMA%) as biomarkers of arsenic metabolism.ResultsMedian ∑As, iAs%, MMA%, and DMA% were 83.1 ng/L, 63.4%, 10.3%, and 25.2%, respectively. ∑As was not associated with either type of diabetes. The fully adjusted odds ratios (95% CI), rescaled to compare a difference in levels corresponding to the interquartile range of iAs%, MMA%, and DMA%, were 0.68 (0.50-0.91), 1.33 (1.02-1.74), and 1.28 (1.01-1.63), respectively, for type 1 diabetes and 0.82 (0.48-1.39), 1.09 (0.65-1.82), and 1.17 (0.77-1.77), respectively, for type 2 diabetes. In interaction analysis, the odds ratio of type 1 diabetes by MMA% was 1.80 (1.25-2.58) and 0.98 (0.70-1.38) for participants with plasma folate levels above and below the median (P for interaction = 0.02), respectively.ConclusionsLow iAs% versus high MMA% and DMA% was associated with a higher odds of type 1 diabetes, with a potential interaction by folate levels. These data support further research on the role of arsenic metabolism in type 1 diabetes, including the interplay with one-carbon metabolism biomarkers.

Project description:ImportanceSome studies based on proportions of patients with perforated appendicitis (PA) among all patients with acute appendicitis (AA) have found an association between socioeconomic status (SES) and risk of perforation. A potential limitation is their use of proportions, which assumes that incidence of AA is evenly distributed across populations at risk. This assumption may be invalid, and SES may have a more complex association with both AA and PA.ObjectiveTo generate population-based incidences of AA and PA and to examine geographic patterns of incidence alongside geographic patterns of SES.Design, setting, and participantsRetrospective study of data from Washington's Comprehensive Hospital Abstract Reporting System and the 2010 US census. Geographic methods were used to identify patterns of age- and sex-standardized incidence in Washington State between 2008 and 2012. The study included all patients discharged with International Classification of Diseases, Ninth Revision codes for AA or PA. Data were analyzed between November 2016 and December 2018.ExposuresLocation of primary residence.Main outcomes and measuresAge- and sex-standardized incidence for AA and PA was generated for each census tract (CT). Global spatial autocorrelation was examined using Moran index (0.0?=?completely random incidence; 1.0?=?fully dependent on location). Clusters of low-incidence CTs (cold spots) and high-incidence CTs (hot spots) were identified for AA. Census-based SES data were aggregated for hot spots and cold spots and then compared.ResultsStatewide, over the 5-year study period, there were 35?730 patients with AA (including 9780 cases of PA), of whom 16?574 were women (46.4%). Median age of the cohort was 29 years (IQR, 16-48 years). Statewide incidence of AA and PA was 106 and 29 per 100?000 person-years (PY), respectively. Crude incidence was higher within the male population and peaked at age 10 to 19 years. Age- and sex-standardized incidence of AA demonstrated significant positive spatial autocorrelation (Moran index, 0.30; P?<?.001), but autocorrelation for PA was only half as strong (0.16; P?<?.001). Median incidence of AA was 118.1 per 100?000 PY among hot spots vs 86.2 per 100?000 PY among cold spots (P?<?.001). Socioeconomic status was higher in cold spots vs hot spots: mean proportion of college-educated adults was 56% vs 26% (P?<?.001), and mean per capita income was $44?691 vs $30?027 (P?<?.001).Conclusions and relevanceAge- and sex-standardized incidence of appendicitis is not randomly distributed across geographic subunits, and geographic clustering of AA is twice as strong as PA. Socioeconomic advantages, such as higher income and secondary education, are strongly associated with lower incidence of AA. These findings challenge conventional views that AA occurs randomly and has no predisposing characteristics beyond age/sex. Socioeconomic status, and likely other geographically circumscribed factors, are associated with incidence of AA.

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Socioeconomic status and the association between arsenic exposure and type 2 diabetes.

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Socioeconomic status and the association between arsenic exposure and type 2 diabetes.

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