Polychlorinated Biphenyls and Organochlorine Pesticides Predict Development of Type 2 Diabetes in the Elderly: The Prospective Investigation of the Vasculature in Uppsala Seniors (Pivus) Study

Lee, Duk-Hee; Lind, P. Monica; JacobsJr, David R; Salihović, Samira; Bavel, Bert van; Lind, Lars

doi:10.1289/isee.2011.00577

Cited by 33 publications

(50 citation statements)

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“…However, environmental data are typically collected for administrative and regulatory purposes, and therefore might not provide the spatial and/or temporal coverage to properly assess health outcomes 53 . For example, several of the pollutants captured in the water and land domains are associated with diabetes rates [54][55][56][57][58] , yet we did not see positive associations. This might be due to the data quality for those domains, which is less robust than for other domains, as it is primarily collected for regulatory purposes 53 .…”

Section: Discussioncontrasting

confidence: 69%

Association between environmental quality and diabetes in the USA

Jagai

Krajewski

Shaikh

et al. 2019

J of Diabetes Invest

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Aims/Introduction Caloric excess and physical inactivity fail to fully account for the rise of diabetes prevalence. Individual environmental pollutants can disrupt glucose homeostasis and promote metabolic dysfunction. However, the impact of cumulative exposures on diabetes risk is unknown. Materials and Methods The Environmental Quality Index, a county‐level index composed of five domains, was developed to capture the multifactorial ambient environmental exposures. The Environmental Quality Index was linked to county‐level annual age‐adjusted population‐based estimates of diabetes prevalence rates. Prevalence differences (PD, annual difference per 100,000 persons) and 95% confidence intervals (CI) were estimated using random intercept mixed effects linear regression models. Associations were assessed for overall environmental quality and domain‐specific indices, and all analyses were stratified by four rural‐urban strata. Results Comparing counties in the highest quintile/poorest environmental quality to those in the lowest quintile/best environmental quality, counties with poor environmental quality demonstrated lower total diabetes prevalence rates. Associations varied by rural–urban strata; overall better environmental quality was associated with lower total diabetes prevalence rates in the less urbanized and thinly populated strata. When considering all counties, good sociodemographic environments were associated with lower total diabetes prevalence rates (prevalence difference 2.77, 95% confidence interval 2.71–2.83), suggesting that counties with poor sociodemographic environments have an annual prevalence rate 2.77 per 100,000 persons higher than counties with good sociodemographic environments. Conclusions Increasing attention has focused on environmental exposures as contributors to diabetes pathogenesis, and the present findings suggest that comprehensive approaches to diabetes prevention must include interventions to improve environmental quality.

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Section: Discussioncontrasting

confidence: 69%

Association between environmental quality and diabetes in the USA

Jagai

Krajewski

Shaikh

et al. 2019

J of Diabetes Invest

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“…The body of chlorinated pesticides studies included 13 998 participants from 17 cross-sectional populations 6,15,17,[22][23][24][25]27,[29][30][31][32][34][35][36][37][38] and 2549 from five prospective cohorts 5,53-56 (with follow-up periods of 5-18 years). There were 16 studies 5,15,17,23,25,27,29,30,32,34,36,38,[53][54][55][56] that had T2D as an outcome and four 25,31,35,37 studied diabetesrelated metabolic traits. Median values of serum chlorinated pesticide concentrations (as DDE) ranged from 112.8 to 1817 ng/g lipid.…”

Section: Chlorinated Pesticidesmentioning

confidence: 99%

“…There were 20 studies5,6,14,15,17,18,[20][21][22][23][24][25]27,29,30,32,[51][52][53][54][55][56] that had T2D as an outcome and six18,25,26,28,31,35 studied diabetes-related metabolic traits. Median values of serum PCB concentrations (as PCB153) ranged from 82.8 to 807.5 ng/g lipid.…”

mentioning

confidence: 99%

Endocrine‐disrupting chemicals, risk of type 2 diabetes, and diabetes‐related metabolic traits: A systematic review and meta‐analysis

Song

Chou

Baecker

et al. 2015

Journal of Diabetes

175

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“…It is noteworthy that all cross-sectional studies analysing TNC found a significant association with diabetes [12,14,16,19,24,25].…”

Section: Diabetesmentioning

confidence: 95%

“…In the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study, a cohort study including >1000 subjects all aged 70 years, we investigated the associations between POPs and diabetes using both a cross-sectional design (113 cases) and prospective data during 5 years of follow-up (36 cases). Using both approaches, a number of PCB congeners, as well as a summary measure of pesticides including DDE and TNC, were found to be associated with diabetes [14]. Of note, the summary measure of PCBs was a stronger risk factor for incident diabetes (OR 7.5, 95% CI 1.4-38) than body mass index (BMI) (OR 4.5, 95% CI 1.2-22), even following adjustment for BMI.…”

Section: Diabetesmentioning

confidence: 99%

Can persistent organic pollutants and plastic‐associated chemicals cause cardiovascular disease?

Lind¹,

Lind

2012

Journal of Internal Medicine

102

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Abstract. Lind L, Lind PM (Uppsala University, Uppsala, Sweden). Can persistent organic pollutants and plastic-associated chemicals cause cardiovascular disease? (Review). J Intern Med 2012; 271: 537-553.During the last decade, associations between persistent organic pollutants (POPs), such as polychlorinated biphenyls, dioxins and pesticides, and cardiovascular (CV) risk factors and overt CV disease (CVD) have been reported in humans. Recently, associations between plastic-associated chemicals (PACs), such as bisphenol A and phthalates, and CVD have also begun to emerge. Several approaches to evaluating such associations have been used: accidents with a high level of exposure, occupational exposure studies, geographical studies of subjects living near a contaminated area and traditional case-control or cohort studies with measurements of circulating levels of different environmental contaminants in the general population. Exposure to POPs has consistently been associated with diabetes using all the approaches described above, including prospective studies. The evidence regarding associations between exposure to POPs and other CV risk factors, such as hypertension, obesity and lipids, is less strong and is mainly based on cross-sectional data. Associations between overt CVD and POPs have been reported using all the above approaches, but prospective data from population-based studies are still lacking to provide firm evidence of an important and independent role of POP exposure in the pathogenesis of CVD. Nevertheless, taken together, current evidence suggests that further longitudinal and experimental studies should be conducted to investigate the effect of exposure to both POPs and PACs, such as bisphenol A and phthalates.

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Polychlorinated Biphenyls and Organochlorine Pesticides Predict Development of Type 2 Diabetes in the Elderly: The Prospective Investigation of the Vasculature in Uppsala Seniors (Pivus) Study

Cited by 33 publications

References 0 publications

Association between environmental quality and diabetes in the USA

Association between environmental quality and diabetes in the USA

Endocrine‐disrupting chemicals, risk of type 2 diabetes, and diabetes‐related metabolic traits: A systematic review and meta‐analysis

Can persistent organic pollutants and plastic‐associated chemicals cause cardiovascular disease?

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