Associations of long-term exposure to PM1, PM2.5, NO2 with type 2 diabetes mellitus prevalence and fasting blood glucose levels in Chinese rural populations

Feifei Liu; Yuming Guo; Yisi Liu; Gongbo Chen; Yuxin Wang; Xiaowei Xue; Suyang Liu; Wenqian Huo; Zhenxing Mao; Yitan Hou; Yuanan Lu; Chongjian Wang; Hao Xiang; Shanshan Li

doi:10.1016/j.envint.2019.105213

Associations of long-term exposure to PM₁, PM_2.5, NO₂ with type 2 diabetes mellitus prevalence and fasting blood glucose levels in Chinese rural populations

Feifei Liu, Yuming Guo, Yisi Liu, Gongbo Chen, Yuxin Wang, Xiaowei Xue, Suyang Liu, Wenqian Huo, Zhenxing Mao, Yitan Hou, Yuanan Lu, Chongjian Wang, Hao Xiang, Shanshan Li

Research output: Contribution to journal › Article › Research › peer-review

63 Citations (Scopus)

Abstract

Objectives: To evaluate the associations between long-term exposure to particulate matter with an aerodynamic diameter ≤1.0 μm and ≤2.5 μm (PM₁ and PM_2.5), nitrogen dioxide (NO₂) and type 2 diabetes prevalence and fasting blood glucose levels in Chinese rural populations. Material and methods: A total of 39, 259 participants were enrolled in The Henan Rural Cohort study. Questionnaires and medical examination were conducted from July 2015 to September 2017 in rural areas of Henan province, China. Three-year average residential exposure levels of PM₁, PM_2.5, NO₂ for each subject were estimated by a spatiotemporal model. Logistic regression and linear regression models were applied to estimate the associations between PM₁, PM_2.5, NO₂ exposure and type 2 diabetes prevalence and fasting blood glucose levels. Results: The mean 3-year residential exposure concentrations of PM₁, PM_2.5 and NO₂ was 57.4 μg/m³, 73.4 μg/m³ and 39.9 μg/m³, respectively. Higher exposure concentrations of PM₁, PM_2.5, NO₂ by 1 μg/m³ was positively related to a 4.0% (95%CIs: 1.026, 1.054), 6.8% (1.052, 1.084) and 5.0% (1.039, 1.061) increase in odds of type 2 diabetes in the final adjusted models. Besides, a 1 μg/m³ increase of PM₁, PM_2.5 and NO₂ was related to a 0.020 mmol/L (95%CIs: 0.014, 0.026), 0.036 mmol/L (95%CIs: 0.030, 0.042) and 0.030 mmol/L (95%CIs: 0.026, 0.034) mmol/L higher fasting blood glucose levels. Conclusions: Higher exposure concentrations of air pollutants were positively related to the increased odds of type 2 diabetes, as well as higher fasting blood glucose levels in Chinese rural populations.

Original language	English
Article number	105213
Number of pages	7
Journal	Environment International
Volume	133
Issue number	B
DOIs	https://doi.org/10.1016/j.envint.2019.105213
Publication status	Published - Dec 2019

Keywords

Air pollution
Fasting blood glucose
Prevalence
Rural health
Type 2

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.envint.2019.105213Licence: CC BY

287379282-oaFinal published version, 606 KBLicence: CC BY

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Liu, F., Guo, Y., Liu, Y., Chen, G., Wang, Y., Xue, X., Liu, S., Huo, W., Mao, Z., Hou, Y., Lu, Y., Wang, C., Xiang, H., & Li, S. (2019). Associations of long-term exposure to PM₁, PM_2.5, NO₂ with type 2 diabetes mellitus prevalence and fasting blood glucose levels in Chinese rural populations. Environment International, 133(B), Article 105213. https://doi.org/10.1016/j.envint.2019.105213

@article{2a5d953fbb7040a28210624e4345ff15,

title = "Associations of long-term exposure to PM1, PM2.5, NO2 with type 2 diabetes mellitus prevalence and fasting blood glucose levels in Chinese rural populations",

abstract = "Objectives: To evaluate the associations between long-term exposure to particulate matter with an aerodynamic diameter ≤1.0 μm and ≤2.5 μm (PM1 and PM2.5), nitrogen dioxide (NO2) and type 2 diabetes prevalence and fasting blood glucose levels in Chinese rural populations. Material and methods: A total of 39, 259 participants were enrolled in The Henan Rural Cohort study. Questionnaires and medical examination were conducted from July 2015 to September 2017 in rural areas of Henan province, China. Three-year average residential exposure levels of PM1, PM2.5, NO2 for each subject were estimated by a spatiotemporal model. Logistic regression and linear regression models were applied to estimate the associations between PM1, PM2.5, NO2 exposure and type 2 diabetes prevalence and fasting blood glucose levels. Results: The mean 3-year residential exposure concentrations of PM1, PM2.5 and NO2 was 57.4 μg/m3, 73.4 μg/m3 and 39.9 μg/m3, respectively. Higher exposure concentrations of PM1, PM2.5, NO2 by 1 μg/m3 was positively related to a 4.0% (95%CIs: 1.026, 1.054), 6.8% (1.052, 1.084) and 5.0% (1.039, 1.061) increase in odds of type 2 diabetes in the final adjusted models. Besides, a 1 μg/m3 increase of PM1, PM2.5 and NO2 was related to a 0.020 mmol/L (95%CIs: 0.014, 0.026), 0.036 mmol/L (95%CIs: 0.030, 0.042) and 0.030 mmol/L (95%CIs: 0.026, 0.034) mmol/L higher fasting blood glucose levels. Conclusions: Higher exposure concentrations of air pollutants were positively related to the increased odds of type 2 diabetes, as well as higher fasting blood glucose levels in Chinese rural populations.",

keywords = "Air pollution, Fasting blood glucose, Prevalence, Rural health, Type 2",

author = "Feifei Liu and Yuming Guo and Yisi Liu and Gongbo Chen and Yuxin Wang and Xiaowei Xue and Suyang Liu and Wenqian Huo and Zhenxing Mao and Yitan Hou and Yuanan Lu and Chongjian Wang and Hao Xiang and Shanshan Li",

year = "2019",

month = dec,

doi = "10.1016/j.envint.2019.105213",

language = "English",

volume = "133",

journal = "Environment International",

issn = "0160-4120",

publisher = "Elsevier",

number = "B",

}

Liu, F, Guo, Y, Liu, Y, Chen, G, Wang, Y, Xue, X, Liu, S, Huo, W, Mao, Z, Hou, Y, Lu, Y, Wang, C, Xiang, H & Li, S 2019, 'Associations of long-term exposure to PM₁, PM_2.5, NO₂ with type 2 diabetes mellitus prevalence and fasting blood glucose levels in Chinese rural populations', Environment International, vol. 133, no. B, 105213. https://doi.org/10.1016/j.envint.2019.105213

TY - JOUR

T1 - Associations of long-term exposure to PM1, PM2.5, NO2 with type 2 diabetes mellitus prevalence and fasting blood glucose levels in Chinese rural populations

AU - Liu, Feifei

AU - Guo, Yuming

AU - Liu, Yisi

AU - Chen, Gongbo

AU - Wang, Yuxin

AU - Xue, Xiaowei

AU - Liu, Suyang

AU - Huo, Wenqian

AU - Mao, Zhenxing

AU - Hou, Yitan

AU - Lu, Yuanan

AU - Wang, Chongjian

AU - Xiang, Hao

AU - Li, Shanshan

PY - 2019/12

Y1 - 2019/12

N2 - Objectives: To evaluate the associations between long-term exposure to particulate matter with an aerodynamic diameter ≤1.0 μm and ≤2.5 μm (PM1 and PM2.5), nitrogen dioxide (NO2) and type 2 diabetes prevalence and fasting blood glucose levels in Chinese rural populations. Material and methods: A total of 39, 259 participants were enrolled in The Henan Rural Cohort study. Questionnaires and medical examination were conducted from July 2015 to September 2017 in rural areas of Henan province, China. Three-year average residential exposure levels of PM1, PM2.5, NO2 for each subject were estimated by a spatiotemporal model. Logistic regression and linear regression models were applied to estimate the associations between PM1, PM2.5, NO2 exposure and type 2 diabetes prevalence and fasting blood glucose levels. Results: The mean 3-year residential exposure concentrations of PM1, PM2.5 and NO2 was 57.4 μg/m3, 73.4 μg/m3 and 39.9 μg/m3, respectively. Higher exposure concentrations of PM1, PM2.5, NO2 by 1 μg/m3 was positively related to a 4.0% (95%CIs: 1.026, 1.054), 6.8% (1.052, 1.084) and 5.0% (1.039, 1.061) increase in odds of type 2 diabetes in the final adjusted models. Besides, a 1 μg/m3 increase of PM1, PM2.5 and NO2 was related to a 0.020 mmol/L (95%CIs: 0.014, 0.026), 0.036 mmol/L (95%CIs: 0.030, 0.042) and 0.030 mmol/L (95%CIs: 0.026, 0.034) mmol/L higher fasting blood glucose levels. Conclusions: Higher exposure concentrations of air pollutants were positively related to the increased odds of type 2 diabetes, as well as higher fasting blood glucose levels in Chinese rural populations.

AB - Objectives: To evaluate the associations between long-term exposure to particulate matter with an aerodynamic diameter ≤1.0 μm and ≤2.5 μm (PM1 and PM2.5), nitrogen dioxide (NO2) and type 2 diabetes prevalence and fasting blood glucose levels in Chinese rural populations. Material and methods: A total of 39, 259 participants were enrolled in The Henan Rural Cohort study. Questionnaires and medical examination were conducted from July 2015 to September 2017 in rural areas of Henan province, China. Three-year average residential exposure levels of PM1, PM2.5, NO2 for each subject were estimated by a spatiotemporal model. Logistic regression and linear regression models were applied to estimate the associations between PM1, PM2.5, NO2 exposure and type 2 diabetes prevalence and fasting blood glucose levels. Results: The mean 3-year residential exposure concentrations of PM1, PM2.5 and NO2 was 57.4 μg/m3, 73.4 μg/m3 and 39.9 μg/m3, respectively. Higher exposure concentrations of PM1, PM2.5, NO2 by 1 μg/m3 was positively related to a 4.0% (95%CIs: 1.026, 1.054), 6.8% (1.052, 1.084) and 5.0% (1.039, 1.061) increase in odds of type 2 diabetes in the final adjusted models. Besides, a 1 μg/m3 increase of PM1, PM2.5 and NO2 was related to a 0.020 mmol/L (95%CIs: 0.014, 0.026), 0.036 mmol/L (95%CIs: 0.030, 0.042) and 0.030 mmol/L (95%CIs: 0.026, 0.034) mmol/L higher fasting blood glucose levels. Conclusions: Higher exposure concentrations of air pollutants were positively related to the increased odds of type 2 diabetes, as well as higher fasting blood glucose levels in Chinese rural populations.

KW - Air pollution

KW - Fasting blood glucose

KW - Prevalence

KW - Rural health

KW - Type 2

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U2 - 10.1016/j.envint.2019.105213

DO - 10.1016/j.envint.2019.105213

M3 - Article

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AN - SCOPUS:85073684360

SN - 0160-4120

VL - 133

JO - Environment International

JF - Environment International

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M1 - 105213

ER -

Associations of long-term exposure to PM₁, PM_2.5, NO₂ with type 2 diabetes mellitus prevalence and fasting blood glucose levels in Chinese rural populations

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Environmental exposure, human behaviour and respiratory health for children with asthma.

Advancing the assessment of environmental impacts on human health

Cite this

Associations of long-term exposure to PM1, PM2.5, NO2 with type 2 diabetes mellitus prevalence and fasting blood glucose levels in Chinese rural populations

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Projects

Environmental exposure, human behaviour and respiratory health for children with asthma.

Advancing the assessment of environmental impacts on human health

Cite this

Associations of long-term exposure to PM₁, PM_2.5, NO₂ with type 2 diabetes mellitus prevalence and fasting blood glucose levels in Chinese rural populations