Association between traffic-related air pollution, subclinical inflammation and impaired glucose metabolism: Results from the SALIA study

Teichert, Tom; Vossoughi, Mohammad; Vierkötter, Andrea; Sugiri, Dorothea; Staudinger, Thomas; Roden, Michael; Luckhaus, C; Herder, Christian; Krämer, Ursula

doi:10.1055/s-0033-1336775

Cited by 2 publications

(4 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…followed up women who enrolled in the Canadian National Breast Screening Study ( n = 29,549), and the result showed a > 20% increase of diabetes mellitus per 10‐μg/m 3 increase in PM2.5 (prevalence ratio 1.28, 95% CI: 1.16–1.41). In addition, other cohort studies also reported relatively strong associations between exposure to PM2.5 and the incidence of diabetes mellitus (RRs from 1.25 to 1.42). Previous experimental studies showed that PM2.5 could lead to insulin resistance through oxidative damage, endothelial dysfunction and inflammation.…”

Section: Discussionmentioning

confidence: 93%

“…The present meta‐analysis showed a deleterious effect of long‐term exposure PM2.5 on the incidence of type 2 diabetes mellitus. Several previous studies explored the associations between PM2.5 with incident type 2 diabetes mellitus, diabetes mortality or prevalent impaired glucose metabolism. A large Canadian study, including more than 2 million participants, showed a strong positive association between PM2.5 and diabetes mortality.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Association between particulate matter 2.5 and diabetes mellitus: A meta‐analysis of cohort studies

Zhao

et al. 2017

J of Diabetes Invest

102

View full text Add to dashboard Cite

Aims/IntroductionThe present meta‐analysis was carried out to assess the association between exposure to the level of atmospheric particulate matter 2.5 (PM2.5; fine particulate matter with aerodynamic diameter less than 2.5 μm) and type 2 diabetes mellitus or gestational diabetes mellitus (GDM).Materials and MethodsWe searched the Medline, EMBASE, Cochrane and Web of Science databases to obtain articles according to the responding literature search strategies. Among a total of 279 identified articles, 55 were reviewed in depth, of which 10 articles (11 cohort studies) satisfied the inclusion criteria. Only cohort studies that disclosed the association between PM2.5 and type 2 diabetes mellitus or GDM were included in this article. A fixed‐effects model was selected if P > 0.1 and I 2 < 50%; otherwise, a random‐effects model would be used to calculate the total effect value. Subgroup analysis was further carried out according to the types of diabetes mellitus (type 2 diabetes mellitus and GDM). The relative risk was used to estimate the association between PM2.5 and diabetes mellitus.ResultsThe positive associations between PM2.5 and the incidence of type 2 diabetes mellitus were found in the long‐term exposure period (relative risk 1.25, 95% confidence interval 1.10–1.43), which showed that with every 10‐μg/m3 increase in PM2.5, the risk of type 2 diabetes mellitus would increase by 25% in the long‐term exposure. Although the significant associations were not identified between maternal exposure to PM2.5 and GDM in the first trimester, the second trimester and the entire pregnancy periods, we could conclude that maternal exposure to PM2.5 in the entire pregnancy period would be more likely to lead to developing GDM (relative risk 1.162, 95% confidence interval 0.806–1.675) than the other two periods.ConclusionsLong‐term exposure to PM2.5 would be more likely to lead to developing type 2 diabetes mellitus, but more studies would be required to confirm the association between PM2.5 and GDM. It might be a wise to take effective measures to reduce PM2.5 exposure in vulnerable populations, especially for pregnant women.

show abstract

Section: Discussionmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Association between particulate matter 2.5 and diabetes mellitus: A meta‐analysis of cohort studies

Zhao

et al. 2017

J of Diabetes Invest

102

View full text Add to dashboard Cite

show abstract

“…As previously reported (Rioux et al, 2011), most earlier studies asked participants to abstain from taking their type 2 diabetes medications prior to biological sampling, did not report on, specifically evaluate, or have access to information on medication use (Teichert et al, 2013; O’Neill et al, 2005; O’Neill et al, 2007; Ostro et al, 2006; Schneider et al, 2008); or were conducted prior to the introduction of two of the oral medications evaluated here (Zanobetti and Schwartz, 2002; Bateson and Schwartz, 2004). Individuals with type 2 diabetes appear to be particularly vulnerable to air pollution (Gold, 2008) though particulate matter-induced CRP responses have not been consistent, perhaps due to the use of anti-inflammatory medications in this population (Li et al, 2012).…”

Section: Discussionmentioning

confidence: 95%

“…The adverse response we observe here may be associated with disease severity, disease duration, or the interactive effects of insulin with traffic exposure. Insulin use is typically associated with longer disease duration, and for these individuals, other indicators of diabetes progression such as vascular dysfunction, may be modifying the response to traffic exposure (Barzilay et al, 2001; Teichert et al, 2013; O’Neill et al, 2005; O’Neill et al, 2007; Stewart et al, 2010). …”

Section: Discussionmentioning

confidence: 99%

Medication type modifies inflammatory response to traffic exposure in a population with type 2 diabetes

Rioux

Tucker

Brugge

et al. 2015

Environmental Pollution

View full text Add to dashboard Cite

The association between residential traffic exposure and change in C-reactive protein over 2-years was evaluated using multivariate linear regression including interaction models for traffic and diabetes medication use/type (insulin vs. oral hypoglycemic agents (OHAs)). The study population was Puerto Rican adults (n = 356) residing in greater Boston with type 2 diabetes. Traffic was characterized as proximity to roads with >20,000 weekday traffic volumes, and multi-directional traffic density. Increases in CRP concentration were significantly associated with residence ≤100 m of a roadway (p = 0.009) or near multiple roadways (p < 0.001), vs. further away, for individuals using insulin in stratified models, with consistent results in interaction models (p = 0.071 and p = 0.002). As)HAs)HCRP was significantly lower with highest traffic density exposure in stratified (p = 0.03) and interaction models (p = 0.024) for individuals using OHAs. Individuals on insulin experienced increased CRP concentrations with traffic exposure over a 2-year study period, while those using OHAs did not experience increases.

show abstract

Association between traffic-related air pollution, subclinical inflammation and impaired glucose metabolism: Results from the SALIA study

Cited by 2 publications

References 43 publications

Association between particulate matter 2.5 and diabetes mellitus: A meta‐analysis of cohort studies

Association between particulate matter 2.5 and diabetes mellitus: A meta‐analysis of cohort studies

Medication type modifies inflammatory response to traffic exposure in a population with type 2 diabetes

Contact Info

Product

Resources

About