Associations between long-term exposure to ambient air pollution and risk of type 2 diabetes mellitus: A systematic review and meta-analysis

Liu, Feifei; Chen, Gongbo; Huo, Wenqian; Wang, Chongjian; Liu, Suyang; Li, Na; Mao, Shuyuan; Hou, Yitan; Lu, Yuanan; Xiang, Hao

doi:10.1016/j.envpol.2019.06.033

Cited by 166 publications

(83 citation statements)

References 59 publications

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“…Several investigators have proposed that green spaces might have beneficial effects on glucose homeostasis markers and the development of diabetes mellitus via actively filtering out ambient air pollutions levels [12]. Ambient air pollutions, such as NO, NO 2 , PM 1 , PM 2.5 , and PM 10 , were significantly associated with increased risk of diabetes mellitus, which was observed in many previous studies [5,31,32]. Green space would reduce ambient air pollutions levels.…”

Section: Discussionmentioning

confidence: 74%

Associations of Residential Greenness with Diabetes Mellitus in Chinese Uyghur Adults

Fan

Xue²,

Yuan

et al. 2019

IJERPH

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Greenness exposure is nominated as a potential beneficial factor for health, but evidence is limited on its diabetes effects. We conducted a cross-sectional study between May and September 2016 in rural areas of northwestern China, including 4670 Uyghur adults, to explore the associations between residential greenness and fasting glucose levels and diabetes prevalence. Fasting glucose levels were determined, and information on covariates was collected by questionnaire. Normalized difference vegetation index (NDVI) and soil-adjusted vegetation index (SAVI) were calculated to assess greenness levels. Generalized linear mixed models were applied to evaluate the associations of greenness with fasting glucose levels and diabetes prevalence. The prevalence of diabetes was 11.6%. We found that living in rural areas characterized by increased amounts of greenness was associated with reduced diabetes prevalence (e.g., NDVI1000m: OR, 0.92; 95% CI, 0.86, 0.99). Stratified analyses showed that the protective effects of greenness on diabetes prevalence were found only in women (NDVI1000m: OR, 0.90; 95% CI, 0.82, 0.99). However, none of the interaction was statistically significant. Our study suggests that greater residential greenness levels were associated with a lower odds ratio of diabetes prevalence in Xinjiang Uyghur adults. Further well-designed longitudinal studies are needed to confirm our findings.

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Section: Discussionmentioning

confidence: 74%

Associations of Residential Greenness with Diabetes Mellitus in Chinese Uyghur Adults

Fan

Xue²,

Yuan

et al. 2019

IJERPH

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“…In fact, it is largely accepted that environmental factors, such as the presence of endocrine disrupting compounds (EDCs), play a key role in the pathogenesis of ponderal excess, and specific EDCs, including also inhaled pollutants, are identified as “obesogenic and/or diabetogenic” ( Lubrano et al., 2013 ; Nappi et al., 2016 ; Darbre, 2015 ). To interest, a recent metanalysis found that long-term exposure to ambient air pollution represents a predisposing factor not only for obesity but also for Type 2 Diabetes ( Liu et al., 2019 ). Furthermore, the exposure to Bisphenol A, an organic synthetic compound commonly employed as plasticizer, may exert detrimental effects on glycemic homeostasis ( Provvisiero et al., 2016 ).…”

Section: Is Obesity a Consequence Of Air Pollution?mentioning

confidence: 99%

Is obesity the missing link between COVID-19 severity and air pollution?

Lubrano

Risi

Masi

et al. 2020

Environmental Pollution

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In the previous publication “Can atmospheric pollution be considered a co-factor in extremely high level of SARS-CoV-2 lethality in Northern Italy?” Conticini et al. hypothesized that the surplus of lethality of the novel SARS-CoV-2 in Northern Italy may be at least in part explained by the evidence of highest pollution reported in this area, as both severe COVID-19 and smog exposure are correlated to an innate immune system hyper-activation with subsequent lung inflammation and injury. Since this hypothesis alone does not fully explain why specific subgroups of patients are at major risk, we hypothesized that obesity may be one of the links between COVID-19 severity and high level of air pollution. First, obesity is a predisposing factor for SARS-Cov-2 infection and worse COVID-19 outcomes, and unequivocal evidence demonstrated that fat mass excess is independently associated with several pulmonary diseases and lung inflammation. Moreover, it has been shown that obesity may intensify the detrimental effects of air pollution on the lungs, and this is not surprising if we consider that these conditions share an excessive activation of the immune system and a lung inflammatory infiltrate. Finally, fat mass excess has also been speculated to be itself a consequence of air pollutants exposure, which has been proved to induce metabolic disruption and weight gain in murine models. In conclusion, although many variables must be taken into account in the analysis of the pandemic, our observations suggest that obesity may act as effect modifier of smog-induced lung-injury, and the concomitant presence of these two factors could better explain the higher virulence, faster spread and greater mortality of SARS-CoV-2 in Northern Italy compared to the rest of the country.

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“…First, higher green space levels were associated with lower air pollution, since a large amount of green vegetation can effectively absorb ambient particles to lter and purify the air [42,43]. The harmful effects of long-term exposure to air pollution, such as an elevated risk for T2DM development, were less pronounced in high-green areas [44]. Second, the residential green and blue space availability was associated with higher levels of physical activity and lower obesity risk of residents [45,46].…”

Section: Discussionmentioning

confidence: 99%

Residential Green, Blue Spaces and type 2 Diabetes Mellitus: A Population-based Health Study in China

Chen²,

Jiao

et al. 2020

Preprint

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Background: Evidence on the health benefits of green space in residential environments is still limited, and few studies have investigated the potential association between blue space and type 2 diabetes mellitus (T2DM) prevalence. Methods: The study included 39,019 participants who had completed the baseline survey from Henan Rural Cohort, 2015–2017. The Normalized Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) were employed to characterize the residential green space, and the distance from the participant's residential address to the nearest water body was considered to represent the residential blue space. Mixed effect models were applied to evaluate the associations of the residential environment with T2DM and fasting blood glucose levels. Results: An interquartile range (IQR) increase in NDVI and EVI was significantly associated with a 13.4% (Odds ratio (OR):0.866, 95%Confidence interval (CI): 0.830, 0.903) and 14.2% (OR:0.858, 95%CI: 0.817,0.901) decreased risk of T2DM, respectively. The residential green space was associated with lower fasting blood glucose levels in men (%change, –2.060 in men vs. –0.972 in women) and the elderly (%change, –1.696 in elderly vs. –1.268 in young people). Additionally, people who lived more than 5 km from the water body had a 15.7% lower risk of T2DM (OR: 0.843, 95% CI: 0.770, 0.923) and 1.829% lower fasting blood glucose levels (95% CI: –2.335%,–1.320%) than those who lived closer to the blue space. Conclusion: Our findings suggest that residential green space was beneficially associated with T2DM and fasting blood glucose levels. However, further research is needed to explore more comprehensively the relationship between residential blue space and public health.

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Associations between long-term exposure to ambient air pollution and risk of type 2 diabetes mellitus: A systematic review and meta-analysis

Cited by 166 publications

References 59 publications

Associations of Residential Greenness with Diabetes Mellitus in Chinese Uyghur Adults

Associations of Residential Greenness with Diabetes Mellitus in Chinese Uyghur Adults

Is obesity the missing link between COVID-19 severity and air pollution?

Residential Green, Blue Spaces and type 2 Diabetes Mellitus: A Population-based Health Study in China

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