Cargando…
Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis
BACKGROUND: The association between air pollution (AP) and gestational diabetes mellitus (GDM), especially between different pollutants and GDM, remains controversial and debatable. Hence, we conducted this systematic review and meta-analysis to provide comprehensive evidence-based support for the a...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906206/ https://www.ncbi.nlm.nih.gov/pubmed/36760250 http://dx.doi.org/10.21037/atm-22-6306 |
_version_ | 1784883956090404864 |
---|---|
author | Ren, Zhonglian Yuan, Jiaying Luo, Ya Wang, Juan Li, Yanqin |
author_facet | Ren, Zhonglian Yuan, Jiaying Luo, Ya Wang, Juan Li, Yanqin |
author_sort | Ren, Zhonglian |
collection | PubMed |
description | BACKGROUND: The association between air pollution (AP) and gestational diabetes mellitus (GDM), especially between different pollutants and GDM, remains controversial and debatable. Hence, we conducted this systematic review and meta-analysis to provide comprehensive evidence-based support for the association between AP and GDM. METHODS: The databases of the Cochrane Library, Embase, PubMed, and Web of Science were searched from inception to 1 April 2022, in combination with manual retrieval. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of case-control studies and cohort studies, while the Joana Brigg’s Institute (JBI) critical appraisal checklist was used for the quality assessment of cross-sectional studies. RESULTS: We identified 35 epidemiological studies (including 33 cohort studies, 1 cross-sectional study, and 1 case-control study) covering 6,939,725 pregnant women, of whom 865,460 were GDM patients. The NOS score of all included case-control studies and cohort studies was higher than six, and one of the included cross-sectional studies was rated as high quality according to the JBI assessment. Meta-analysis showed that fine particulate matter and air pollutants [PM2.5, odds ratio (OR) =1.06, 95% confidence interval (CI): 1.05–1.08, Z =7.76, P<0.001; PM10, OR =1.06, 95% CI: 1.01–1.11, Z =2.62, P=0.009; sulfur dioxide (SO(2)), OR =1.18, 95% CI: 1.10–1.26, Z = 4.69, P<0.001; nitric oxide (NO), OR =1.04, 95% CI: 1.03–1.06,Z =3.33, P=0.001; nitrogen oxides (NO(X)), OR =1.07, 95% CI: 1.04–1.11, Z =3.93, P<0.001; black carbon (BC), OR =1.08, 95% CI: 1.06–1.10, Z =7.58, P<0.001] was associated with GDM. Furthermore, no significant association was observed between O(3), CO, and nitrogen dioxide (NO(2)) exposure and GDM. CONCLUSIONS: Exposure to PM2.5, PM10, SO(2), NO, NO(X), and BC significantly increases the risk of GDM. AP is a remediable environmental trigger that can be prevented by human interventions, such as lowering AP levels or limiting human exposure to air pollutants. The government should strengthen the supervision of air quality and make air quality information more transparent. Besides, living conditions are crucial during pregnancy. Living in a place with more green areas is recommended, and indoor air purification should also be enhanced. |
format | Online Article Text |
id | pubmed-9906206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-99062062023-02-08 Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis Ren, Zhonglian Yuan, Jiaying Luo, Ya Wang, Juan Li, Yanqin Ann Transl Med Original Article BACKGROUND: The association between air pollution (AP) and gestational diabetes mellitus (GDM), especially between different pollutants and GDM, remains controversial and debatable. Hence, we conducted this systematic review and meta-analysis to provide comprehensive evidence-based support for the association between AP and GDM. METHODS: The databases of the Cochrane Library, Embase, PubMed, and Web of Science were searched from inception to 1 April 2022, in combination with manual retrieval. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of case-control studies and cohort studies, while the Joana Brigg’s Institute (JBI) critical appraisal checklist was used for the quality assessment of cross-sectional studies. RESULTS: We identified 35 epidemiological studies (including 33 cohort studies, 1 cross-sectional study, and 1 case-control study) covering 6,939,725 pregnant women, of whom 865,460 were GDM patients. The NOS score of all included case-control studies and cohort studies was higher than six, and one of the included cross-sectional studies was rated as high quality according to the JBI assessment. Meta-analysis showed that fine particulate matter and air pollutants [PM2.5, odds ratio (OR) =1.06, 95% confidence interval (CI): 1.05–1.08, Z =7.76, P<0.001; PM10, OR =1.06, 95% CI: 1.01–1.11, Z =2.62, P=0.009; sulfur dioxide (SO(2)), OR =1.18, 95% CI: 1.10–1.26, Z = 4.69, P<0.001; nitric oxide (NO), OR =1.04, 95% CI: 1.03–1.06,Z =3.33, P=0.001; nitrogen oxides (NO(X)), OR =1.07, 95% CI: 1.04–1.11, Z =3.93, P<0.001; black carbon (BC), OR =1.08, 95% CI: 1.06–1.10, Z =7.58, P<0.001] was associated with GDM. Furthermore, no significant association was observed between O(3), CO, and nitrogen dioxide (NO(2)) exposure and GDM. CONCLUSIONS: Exposure to PM2.5, PM10, SO(2), NO, NO(X), and BC significantly increases the risk of GDM. AP is a remediable environmental trigger that can be prevented by human interventions, such as lowering AP levels or limiting human exposure to air pollutants. The government should strengthen the supervision of air quality and make air quality information more transparent. Besides, living conditions are crucial during pregnancy. Living in a place with more green areas is recommended, and indoor air purification should also be enhanced. AME Publishing Company 2023-01-15 2023-01-15 /pmc/articles/PMC9906206/ /pubmed/36760250 http://dx.doi.org/10.21037/atm-22-6306 Text en 2023 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Ren, Zhonglian Yuan, Jiaying Luo, Ya Wang, Juan Li, Yanqin Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis |
title | Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis |
title_full | Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis |
title_fullStr | Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis |
title_full_unstemmed | Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis |
title_short | Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis |
title_sort | association of air pollution and fine particulate matter (pm2.5) exposure with gestational diabetes: a systematic review and meta-analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906206/ https://www.ncbi.nlm.nih.gov/pubmed/36760250 http://dx.doi.org/10.21037/atm-22-6306 |
work_keys_str_mv | AT renzhonglian associationofairpollutionandfineparticulatematterpm25exposurewithgestationaldiabetesasystematicreviewandmetaanalysis AT yuanjiaying associationofairpollutionandfineparticulatematterpm25exposurewithgestationaldiabetesasystematicreviewandmetaanalysis AT luoya associationofairpollutionandfineparticulatematterpm25exposurewithgestationaldiabetesasystematicreviewandmetaanalysis AT wangjuan associationofairpollutionandfineparticulatematterpm25exposurewithgestationaldiabetesasystematicreviewandmetaanalysis AT liyanqin associationofairpollutionandfineparticulatematterpm25exposurewithgestationaldiabetesasystematicreviewandmetaanalysis |