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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
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 participant...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522921/ https://www.ncbi.nlm.nih.gov/pubmed/37414192 http://dx.doi.org/10.1016/j.scitotenv.2023.165235 |
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author | Feng, Jin Cai, Miao Qian, Zhengmin (Min) Zhang, Shiyu Yang, Yin McMillin, Stephen Edward Chen, Ge Hua, Junjie Tabet, Maya Wang, Chongjian Wang, Xiaojie Lin, Hualiang |
author_facet | Feng, Jin Cai, Miao Qian, Zhengmin (Min) Zhang, Shiyu Yang, Yin McMillin, Stephen Edward Chen, Ge Hua, Junjie Tabet, Maya Wang, Chongjian Wang, Xiaojie Lin, Hualiang |
author_sort | Feng, Jin |
collection | PubMed |
description | 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 (PM(10)), nitrogen dioxide (NO(2)), 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), PM(10), NO(2), 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. |
format | Online Article Text |
id | pubmed-10522921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105229212023-11-01 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 Feng, Jin Cai, Miao Qian, Zhengmin (Min) Zhang, Shiyu Yang, Yin McMillin, Stephen Edward Chen, Ge Hua, Junjie Tabet, Maya Wang, Chongjian Wang, Xiaojie Lin, Hualiang Sci Total Environ Article 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 (PM(10)), nitrogen dioxide (NO(2)), 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), PM(10), NO(2), 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. Elsevier 2023-11-01 /pmc/articles/PMC10522921/ /pubmed/37414192 http://dx.doi.org/10.1016/j.scitotenv.2023.165235 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). |
spellingShingle | Article Feng, Jin Cai, Miao Qian, Zhengmin (Min) Zhang, Shiyu Yang, Yin McMillin, Stephen Edward Chen, Ge Hua, Junjie Tabet, Maya Wang, Chongjian Wang, Xiaojie Lin, Hualiang 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 |
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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | effects of long-term exposure to air pollution on incident mental disorders among patients with prediabetes and diabetes: findings from a large prospective cohort |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522921/ https://www.ncbi.nlm.nih.gov/pubmed/37414192 http://dx.doi.org/10.1016/j.scitotenv.2023.165235 |
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