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Air pollution and risk of type 2 diabetes mellitus: a systematic review and meta-analysis. [Review]

MedStar author(s):

Citation: Diabetes Res Clin Pract. 106(2):161-72, 2014 Nov.Diabetes Research & Clinical Practice. 106(2):161-72, 2014 Nov.PMID: 25262110Institution: MedStar HealthDepartment: MedicineForm of publication: Journal ArticleMedline article type(s): Journal Article | Meta-Analysis | ReviewSubject headings: *Air Pollutants/ae [Adverse Effects] | *Air Pollution/ae [Adverse Effects] | *Diabetes Mellitus, Type 2/et [Etiology] | Diabetes Mellitus, Type 2/ep [Epidemiology] | Global Health | Humans | Incidence | Particulate Matter | Risk FactorsYear: 2014 ISSN:

0168-8227

Name of journal: Diabetes research and clinical practiceAbstract: AIM: Whether exposure to relatively high levels of air pollution is associated with diabetes occurrence remains unclear. We sought to assess and quantify the association between exposure to major air pollutants and risk of type 2 diabetes.CONCLUSIONS: Available evidence supports a prospective association of main air pollutants with an increased risk for type 2 diabetes. This finding may have implications for population-based strategies to reduce diabetes risk.Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.METHODS: PubMed and EMBASE databases (through September 2013) were searched using a combination of terms related to exposure to gaseous (NO2 and NOx) or particulate matter pollutants (PM2.5, PM10 and PM10-2.5) and type 2 diabetes. Descriptive and quantitative information were extracted from selected studies. We used random-effects models meta-analysis to derive overall risk estimates per type of pollutant.RESULTS: We included ten studies (five cross-sectional and five prospective), assessing the effects of air pollutants on the occurrence of diabetes. In prospective investigations, the overall effect on diabetes occurrence was significant for both NO2 (adjusted hazard ratio [HR], 1.13; 95% confidence interval [95%CI], 1.01-1.22; p < 0.001; I(2) = 36.4%, pheterogeneity = 0.208) and PM2.5 (HR, 1.11; 95%CI, 1.03-1.20; p < 0.001; I(2) = 0.0%, pheterogeneity = 0.827). Odds ratios were reported by two cross-sectional studies which revealed similar associations between both NO2 and PM2.5 with type 2 diabetes. Across studies, risk estimates were generally adjusted for age, gender, body mass index and cigarette smoking.All authors: Balti EV, Echouffo-Tcheugui JB, Kengne AP, Yako YYFiscal year: FY2015Digital Object Identifier:

http://dx.doi.org/10.1016/j.diabres.2014.08.010

Date added to catalog: 2016-07-15

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Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Journal Article	MedStar Authors Catalog	Article	25262110	Available		25262110

AIM: Whether exposure to relatively high levels of air pollution is associated with diabetes occurrence remains unclear. We sought to assess and quantify the association between exposure to major air pollutants and risk of type 2 diabetes.

CONCLUSIONS: Available evidence supports a prospective association of main air pollutants with an increased risk for type 2 diabetes. This finding may have implications for population-based strategies to reduce diabetes risk.Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

METHODS: PubMed and EMBASE databases (through September 2013) were searched using a combination of terms related to exposure to gaseous (NO2 and NOx) or particulate matter pollutants (PM2.5, PM10 and PM10-2.5) and type 2 diabetes. Descriptive and quantitative information were extracted from selected studies. We used random-effects models meta-analysis to derive overall risk estimates per type of pollutant.

RESULTS: We included ten studies (five cross-sectional and five prospective), assessing the effects of air pollutants on the occurrence of diabetes. In prospective investigations, the overall effect on diabetes occurrence was significant for both NO2 (adjusted hazard ratio [HR], 1.13; 95% confidence interval [95%CI], 1.01-1.22; p < 0.001; I(2) = 36.4%, pheterogeneity = 0.208) and PM2.5 (HR, 1.11; 95%CI, 1.03-1.20; p < 0.001; I(2) = 0.0%, pheterogeneity = 0.827). Odds ratios were reported by two cross-sectional studies which revealed similar associations between both NO2 and PM2.5 with type 2 diabetes. Across studies, risk estimates were generally adjusted for age, gender, body mass index and cigarette smoking.

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