The effects of long-term exposure to air pollution on incident mental disorders among patients with prediabetes and diabetes: Findings from a large prospective cohort

Jin Feng; Miao Cai; Zhengmin (Min) Qian; Shiyu Zhang; Yin Yang; Stephen Edward McMillin; Ge Chen; Junjie Hua; Maya Tabet; Chongjian Wang; Xiaojie Wang; Hualiang Lin

doi:10.1016/j.scitotenv.2023.165235

The effects of long-term exposure to air pollution on incident mental disorders among patients with prediabetes and diabetes: Findings from a large prospective cohort

Jin Feng
, Miao Cai
, Zhengmin (Min) Qian
, Shiyu Zhang
, Yin Yang
, Stephen Edward McMillin
, Ge Chen
, Junjie Hua
, Maya Tabet
, Chongjian Wang
, Xiaojie Wang
, Hualiang Lin

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

11 Scopus citations

Abstract

Background: The association between air pollution and mental disorders has been widely documented in the general population. However, the evidence among susceptible populations, such as individuals with prediabetes or diabetes, is still insufficient. Methods: We analyzed data from 48,515 participants with prediabetes and 24,393 participants with diabetes from the UK Biobank. Annual pollution data were collected for fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), nitrogen dioxide (NO₂), and nitrogen dioxides (NO_x) during 2006–2021. The exposure to air pollution and temperature for each participant were estimated by the bilinear interpolation approach and time-weighted method based on their geocoded home addresses and time spent at each address. We employed the generalized propensity score model based on the generalized estimating equation and the time-varying covariates Cox model to assess the effects of air pollution. Results: We observed causal links between air pollutants and mental disorders among both prediabetic and diabetic participants, with stronger effects among those with diabetes than prediabetes. The hazard ratios were 1.18 (1.12, 1.24), 1.15 (1.10, 1.20), 1.18 (1.13, 1.23), and 1.15 (1.11, 1.19) in patients with prediabetes, and 1.21 (1.13, 1.29), 1.17 (1.11, 1.24), 1.19 (1.13, 1.25), and 1.17 (1.12, 1.23) in patients with diabetes per interquartile range elevation in PM_2.5, PM₁₀, NO₂, and NO_x. Furthermore, the effects were more pronounced among people who were older, alcohol drinkers, and living in urban areas. Conclusions: Our study indicates the potential causal links between long-term exposure to air pollution and incident mental disorders among those with prediabetes and diabetes. Reducing air pollution levels would significantly benefit this vulnerable population by reducing the incidence of mental disorders.

Original language	English (US)
Article number	165235
Journal	Science of the Total Environment
Volume	897
DOIs	https://doi.org/10.1016/j.scitotenv.2023.165235
State	Published - Nov 1 2023

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

All Science Journal Classification (ASJC) codes

Environmental Engineering
Environmental Chemistry
Waste Management and Disposal
Pollution

Access to Document

10.1016/j.scitotenv.2023.165235

Cite this

Feng, J., Cai, M., Qian, Z., Zhang, S., Yang, Y., McMillin, S. E., Chen, G., Hua, J., Tabet, M., Wang, C., Wang, X., & Lin, H. (2023). The effects of long-term exposure to air pollution on incident mental disorders among patients with prediabetes and diabetes: Findings from a large prospective cohort. Science of the Total Environment, 897, Article 165235. https://doi.org/10.1016/j.scitotenv.2023.165235

@article{47f14319782240678fe1894ae986c25e,

title = "The effects of long-term exposure to air pollution on incident mental disorders among patients with prediabetes and diabetes: Findings from a large prospective cohort",

abstract = "Background: The association between air pollution and mental disorders has been widely documented in the general population. However, the evidence among susceptible populations, such as individuals with prediabetes or diabetes, is still insufficient. Methods: We analyzed data from 48,515 participants with prediabetes and 24,393 participants with diabetes from the UK Biobank. Annual pollution data were collected for fine particulate matter (PM2.5), inhalable particulate matter (PM10), nitrogen dioxide (NO2), and nitrogen dioxides (NOx) during 2006–2021. The exposure to air pollution and temperature for each participant were estimated by the bilinear interpolation approach and time-weighted method based on their geocoded home addresses and time spent at each address. We employed the generalized propensity score model based on the generalized estimating equation and the time-varying covariates Cox model to assess the effects of air pollution. Results: We observed causal links between air pollutants and mental disorders among both prediabetic and diabetic participants, with stronger effects among those with diabetes than prediabetes. The hazard ratios were 1.18 (1.12, 1.24), 1.15 (1.10, 1.20), 1.18 (1.13, 1.23), and 1.15 (1.11, 1.19) in patients with prediabetes, and 1.21 (1.13, 1.29), 1.17 (1.11, 1.24), 1.19 (1.13, 1.25), and 1.17 (1.12, 1.23) in patients with diabetes per interquartile range elevation in PM2.5, PM10, NO2, and NOx. Furthermore, the effects were more pronounced among people who were older, alcohol drinkers, and living in urban areas. Conclusions: Our study indicates the potential causal links between long-term exposure to air pollution and incident mental disorders among those with prediabetes and diabetes. Reducing air pollution levels would significantly benefit this vulnerable population by reducing the incidence of mental disorders.",

author = "Jin Feng and Miao Cai and Qian, \{Zhengmin (Min)\} and Shiyu Zhang and Yin Yang and McMillin, \{Stephen Edward\} and Ge Chen and Junjie Hua and Maya Tabet and Chongjian Wang and Xiaojie Wang and Hualiang Lin",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

month = nov,

day = "1",

doi = "10.1016/j.scitotenv.2023.165235",

language = "English (US)",

volume = "897",

journal = "Science of the Total Environment",

issn = "0048-9697",

publisher = "Elsevier B.V.",

}

Feng, J, Cai, M, Qian, Z, Zhang, S, Yang, Y, McMillin, SE, Chen, G, Hua, J, Tabet, M, Wang, C, Wang, X & Lin, H 2023, 'The effects of long-term exposure to air pollution on incident mental disorders among patients with prediabetes and diabetes: Findings from a large prospective cohort', Science of the Total Environment, vol. 897, 165235. https://doi.org/10.1016/j.scitotenv.2023.165235

TY - JOUR

T1 - The effects of long-term exposure to air pollution on incident mental disorders among patients with prediabetes and diabetes

T2 - Findings from a large prospective cohort

AU - Feng, Jin

AU - Cai, Miao

AU - Qian, Zhengmin (Min)

AU - Zhang, Shiyu

AU - Yang, Yin

AU - McMillin, Stephen Edward

AU - Chen, Ge

AU - Hua, Junjie

AU - Tabet, Maya

AU - Wang, Chongjian

AU - Wang, Xiaojie

AU - Lin, Hualiang

PY - 2023/11/1

Y1 - 2023/11/1

N2 - Background: The association between air pollution and mental disorders has been widely documented in the general population. However, the evidence among susceptible populations, such as individuals with prediabetes or diabetes, is still insufficient. Methods: We analyzed data from 48,515 participants with prediabetes and 24,393 participants with diabetes from the UK Biobank. Annual pollution data were collected for fine particulate matter (PM2.5), inhalable particulate matter (PM10), nitrogen dioxide (NO2), and nitrogen dioxides (NOx) during 2006–2021. The exposure to air pollution and temperature for each participant were estimated by the bilinear interpolation approach and time-weighted method based on their geocoded home addresses and time spent at each address. We employed the generalized propensity score model based on the generalized estimating equation and the time-varying covariates Cox model to assess the effects of air pollution. Results: We observed causal links between air pollutants and mental disorders among both prediabetic and diabetic participants, with stronger effects among those with diabetes than prediabetes. The hazard ratios were 1.18 (1.12, 1.24), 1.15 (1.10, 1.20), 1.18 (1.13, 1.23), and 1.15 (1.11, 1.19) in patients with prediabetes, and 1.21 (1.13, 1.29), 1.17 (1.11, 1.24), 1.19 (1.13, 1.25), and 1.17 (1.12, 1.23) in patients with diabetes per interquartile range elevation in PM2.5, PM10, NO2, and NOx. Furthermore, the effects were more pronounced among people who were older, alcohol drinkers, and living in urban areas. Conclusions: Our study indicates the potential causal links between long-term exposure to air pollution and incident mental disorders among those with prediabetes and diabetes. Reducing air pollution levels would significantly benefit this vulnerable population by reducing the incidence of mental disorders.

AB - Background: The association between air pollution and mental disorders has been widely documented in the general population. However, the evidence among susceptible populations, such as individuals with prediabetes or diabetes, is still insufficient. Methods: We analyzed data from 48,515 participants with prediabetes and 24,393 participants with diabetes from the UK Biobank. Annual pollution data were collected for fine particulate matter (PM2.5), inhalable particulate matter (PM10), nitrogen dioxide (NO2), and nitrogen dioxides (NOx) during 2006–2021. The exposure to air pollution and temperature for each participant were estimated by the bilinear interpolation approach and time-weighted method based on their geocoded home addresses and time spent at each address. We employed the generalized propensity score model based on the generalized estimating equation and the time-varying covariates Cox model to assess the effects of air pollution. Results: We observed causal links between air pollutants and mental disorders among both prediabetic and diabetic participants, with stronger effects among those with diabetes than prediabetes. The hazard ratios were 1.18 (1.12, 1.24), 1.15 (1.10, 1.20), 1.18 (1.13, 1.23), and 1.15 (1.11, 1.19) in patients with prediabetes, and 1.21 (1.13, 1.29), 1.17 (1.11, 1.24), 1.19 (1.13, 1.25), and 1.17 (1.12, 1.23) in patients with diabetes per interquartile range elevation in PM2.5, PM10, NO2, and NOx. Furthermore, the effects were more pronounced among people who were older, alcohol drinkers, and living in urban areas. Conclusions: Our study indicates the potential causal links between long-term exposure to air pollution and incident mental disorders among those with prediabetes and diabetes. Reducing air pollution levels would significantly benefit this vulnerable population by reducing the incidence of mental disorders.

UR - https://www.scopus.com/pages/publications/85165083049

UR - https://www.scopus.com/pages/publications/85165083049#tab=citedBy

U2 - 10.1016/j.scitotenv.2023.165235

DO - 10.1016/j.scitotenv.2023.165235

M3 - Article

C2 - 37414192

AN - SCOPUS:85165083049

SN - 0048-9697

VL - 897

JO - Science of the Total Environment

JF - Science of the Total Environment

M1 - 165235

ER -

The effects of long-term exposure to air pollution on incident mental disorders among patients with prediabetes and diabetes: Findings from a large prospective cohort

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this