Chronic disease prevalence in women and air pollution — A 30-year longitudinal cohort study

To, Teresa; Zhu, Jingqin; Villeneuve, Paul J.; Simatovic, Jacqueline; Feldman, Laura; Gao, Chenwei; Williams, Devon; Chen, Hong; Weichenthal, Scott; Wall, Claus; Miller, Anthony B.

doi:10.1016/j.envint.2015.03.017

Cited by 92 publications

(57 citation statements)

References 17 publications

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“…In a large population-based cohort of women from Ontario (Canada) with over 30 years of follow-up, it was observed a 28 % increased risk of type 2 diabetes per 10 lg/m 3 increase in PM 2.5 exposure; the risk was substantially larger among smokers and obese individuals [29]. Avoidance of smoking may represent a possible strategy to reduce the risk of future type 2 diabetes in those who cannot leave the dangerous environment.…”

Section: Is Prevention Possible?mentioning

confidence: 92%

“…Although there are no reported studies about the possible synergism between poor dietary habits and PM exposure on the risk of type 2 diabetes, the larger risk in obese women [29] may suggest a possible role for poor diets. In general, adoption of healthy dietary patterns, such as Mediterranean diet, which may cut by 20-23 % the incidence of future diabetes [32].…”

Section: Is Prevention Possible?mentioning

confidence: 98%

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Particulate matter pollutants and risk of type 2 diabetes: a time for concern?

Esposito

Petrizzo²,

Maiorino

et al. 2015

Endocrine

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The World Health Organization estimates that worldwide in 2012 around 7 million deaths occurred prematurely due to air pollution, which is now the world's largest single environmental health risk. The higher premature mortality associated with air pollution is due to exposure to small particulate matter of 10 microns (PM10) or less in diameter. Exposure to air pollution has also been suggested as a contributing to diabetes incidence and progression. There are a number of possible biological pathways linking air pollutants to diabetes, including endothelial dysfunction, dysregulation of the visceral adipose tissue through inflammation, hepatic insulin resistance, elevated hemoglobin A1c level, elevated blood pressure, and alterations in autonomic tone, which may increase insulin resistance. The risk of future diabetes associated with exposure to 10 μg/m(3) increase of PM2.5 has been quantified in the range of 10 to 27%; the risk of diabetes mortality associated with PM2.5 appears to be quite lower, around 1% for each increment exposure of 10 μg/m(3) of both PM2.5 and PM10. Limitations of the current epidemiological evidence include the complex mixture of pollutants, the different design of the studies, the limited data available for non Western populations, and the lack of demonstration that improvement of air quality is associated with a decrease incidence of type 2 diabetes. Although the most sources of outdoor air pollution are well beyond the control of individuals, people should be informed that there are means to reduce the burden of air pollutants on diabetes risk, including avoidance of passive smoking, adoption of an healthy diet, and increasing leisure-time physical activity.

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Section: Is Prevention Possible?mentioning

confidence: 92%

Section: Is Prevention Possible?mentioning

confidence: 98%

Particulate matter pollutants and risk of type 2 diabetes: a time for concern?

Esposito

Petrizzo²,

Maiorino

et al. 2015

Endocrine

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“…Crouse [141] not only obtained a high R 2 value (0.792) in 11 Canadian cities in 1987-2001, but also successfully applied their results to the study of long-term health effects of PM 2.5 exposure. Following van Donkelaar's study [57], others studies conducted by Villeneuve, Chen, To and Brauer [142][143][144][145][146] focused on acute and chronic health effects and on the global burden of disease.…”

Section: Theory Background and Applicationmentioning

confidence: 99%

A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth

et al. 2016

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This study reviewed the prediction of fine particulate matter (PM 2.5 ) from satellite aerosol optical depth (AOD) and summarized the advantages and limitations of these predicting models. A total of 116 articles were included from 1436 records retrieved. The number of such studies has been increasing since 2003. Among these studies, four predicting models were widely used: Multiple Linear Regression (MLR) (25 articles), Mixed-Effect Model (MEM) (23 articles), Chemical Transport Model (CTM) (16 articles) and Geographically Weighted Regression (GWR) (10 articles). We found that there is no so-called best model among them and each has both advantages and limitations. Regarding the prediction accuracy, MEM performs the best, while MLR performs worst. CTM predicts PM 2.5 better on a global scale, while GWR tends to perform well on a regional level. Moreover, prediction performance can be significantly improved by combining meteorological variables with land use factors of each region, instead of only considering meteorological variables. In addition, MEM has advantages in dealing with the AOD data with missing values. We recommend that with the help of higher resolution AOD data, future works could be focused on developing satellite-based predicting models for the prediction of historical PM 2.5 and other air pollutants.

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“…We included 20 publications on stroke and long-term PM exposure in our meta-analysis. [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] They are listed by region and then chronologically in Table 1. Fourteen studies were cohort studies and included covariates at an individual level; the other 6 made use of registered-based entries of stroke mortality or hospital admission and provided covariates on an ecological scale.…”

Section: Selection and Characteristics Of Studiesmentioning

confidence: 99%

Long-Term Exposure to Particulate Matter Air Pollution Is a Risk Factor for Stroke

Scheers

Jacobs

Casas

et al. 2015

Stroke

153

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Background and Purpose— Epidemiological studies suggest an association between stroke incidence and stroke mortality and long-term exposure to particulate matter (PM) air pollution. However, the magnitude of the association is still unclear. Methods— We searched the Pubmed citation database for epidemiological studies and reviews on stroke and PM exposure. Then, we carried out a meta-analysis to quantify the pooled association between stroke incidence and mortality and long-term exposure to PM. Meta-analyses were performed for stroke events and stroke mortality and for PM 10 and PM 2.5 separately and jointly. Results— We identified 20 studies, including a total of >10 million people, on long-term PM exposure and stroke event or stroke mortality. For exposure to PM 10 (including estimated exposure to PM 10 from studies using PM 2.5 ), the pooled hazard ratio for each 10-μg/m 3 increment in PM 10 was 1.061 (95% confidence interval, 1.018–1.105) and 1.080 (0.992–1.177) for overall stroke events and stroke mortality, respectively. A stratified analysis by continent revealed that the association between stroke and long-term PM 10 exposure was positive in North America (1.062 [1.015–1.110]) and Europe (1.057 [0.973–1.148]), but studies in Asia (1.010 [0.885–1.153]) showed a high degree of heterogeneity. Considering exposure to PM 2.5 (Europe and North America combined), the hazard ratios for a 5-μg/m 3 increment were 1.064 (1.021–1.109) and 1.125 (1.007–1.256) for stroke events and mortality, respectively. Conclusions— The scientific evidence of the past decade identifies long-term exposure to PM, and PM 2.5 in particular, as a risk factor for stroke. However, we found some currently unexplained geographical variability in this association.

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Chronic disease prevalence in women and air pollution — A 30-year longitudinal cohort study

Cited by 92 publications

References 17 publications

Particulate matter pollutants and risk of type 2 diabetes: a time for concern?

Particulate matter pollutants and risk of type 2 diabetes: a time for concern?

A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth

Long-Term Exposure to Particulate Matter Air Pollution Is a Risk Factor for Stroke

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