Investigation of the relationship between air pollution and gestational diabetes
Background Gestational diabetes mellitus (GDM) can have negative effects on both the pregnancy and perinatal outcomes, as well as the long-term health of the mother and the child. It has been suggested that exposure to air pollution may increase the risk of developing GDM. This study investigated th...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Journal of Obstetrics and Gynaecology |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/01443615.2024.2362962 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841553134195834880 |
|---|---|
| author | Sima Nazarpour Afshin Shokati Poursani Maryam Mousavi Fahimeh Ramezani Tehrani Samira Behboudi-Gandevani |
| author_facet | Sima Nazarpour Afshin Shokati Poursani Maryam Mousavi Fahimeh Ramezani Tehrani Samira Behboudi-Gandevani |
| author_sort | Sima Nazarpour |
| collection | DOAJ |
| description | Background Gestational diabetes mellitus (GDM) can have negative effects on both the pregnancy and perinatal outcomes, as well as the long-term health of the mother and the child. It has been suggested that exposure to air pollution may increase the risk of developing GDM. This study investigated the relationship between exposure to air pollutants with gestational diabetes.Methods The present study is a retrospective cohort study. We used data from a randomised community trial conducted between September 2016 and January 2019 in Iran. During this period, data on air pollutant levels of five cities investigated in the original study, including 6090 pregnant women, were available. Concentrations of ozone (O3), nitric oxide (NO), nitrogen dioxide (NO2), nitrogen oxides (NOx), sulphur dioxide (SO2), carbon monoxide (CO), particulate matter < 2.5 (PM2.5) or <10 μm (PM10) were obtained from air pollution monitoring stations. Exposure to air pollutants during the three months preceding pregnancy and the first, second and third trimesters of pregnancy for each participant was estimated. The odds ratio was calculated based on logistic regression in three adjusted models considering different confounders. Only results that had a p < .05 were considered statistically significant.Results None of the logistic regression models showed any statistically significant relationship between the exposure to any of the pollutants and GDM at different time points (before pregnancy, in the first, second and third trimesters of pregnancy and 12 months in total) (p > .05). Also, none of the adjusted logistic regression models showed any significant association between PM10 exposure and GDM risk at all different time points after adjusting for various confounders (p > .05).Conclusions This study found no association between GDM risk and exposure to various air pollutants before and during the different trimesters of pregnancy. This result should be interpreted cautiously due to the lack of considering all of the potential confounders. |
| format | Article |
| id | doaj-art-267710bf48214e69a71cc9d099e3c0f0 |
| institution | Kabale University |
| issn | 0144-3615 1364-6893 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Obstetrics and Gynaecology |
| spelling | doaj-art-267710bf48214e69a71cc9d099e3c0f02025-01-09T12:13:17ZengTaylor & Francis GroupJournal of Obstetrics and Gynaecology0144-36151364-68932024-12-0144110.1080/01443615.2024.2362962Investigation of the relationship between air pollution and gestational diabetesSima Nazarpour0Afshin Shokati Poursani1Maryam Mousavi2Fahimeh Ramezani Tehrani3Samira Behboudi-Gandevani4Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IranDepartment of Chemical Engineering - Health, Safety & Environment, Najafabad Branch, Islamic Azad University, Najafabad, IranReproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IranReproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IranFaculty of Nursing and Health Sciences, NORD University, Bodø, NorwayBackground Gestational diabetes mellitus (GDM) can have negative effects on both the pregnancy and perinatal outcomes, as well as the long-term health of the mother and the child. It has been suggested that exposure to air pollution may increase the risk of developing GDM. This study investigated the relationship between exposure to air pollutants with gestational diabetes.Methods The present study is a retrospective cohort study. We used data from a randomised community trial conducted between September 2016 and January 2019 in Iran. During this period, data on air pollutant levels of five cities investigated in the original study, including 6090 pregnant women, were available. Concentrations of ozone (O3), nitric oxide (NO), nitrogen dioxide (NO2), nitrogen oxides (NOx), sulphur dioxide (SO2), carbon monoxide (CO), particulate matter < 2.5 (PM2.5) or <10 μm (PM10) were obtained from air pollution monitoring stations. Exposure to air pollutants during the three months preceding pregnancy and the first, second and third trimesters of pregnancy for each participant was estimated. The odds ratio was calculated based on logistic regression in three adjusted models considering different confounders. Only results that had a p < .05 were considered statistically significant.Results None of the logistic regression models showed any statistically significant relationship between the exposure to any of the pollutants and GDM at different time points (before pregnancy, in the first, second and third trimesters of pregnancy and 12 months in total) (p > .05). Also, none of the adjusted logistic regression models showed any significant association between PM10 exposure and GDM risk at all different time points after adjusting for various confounders (p > .05).Conclusions This study found no association between GDM risk and exposure to various air pollutants before and during the different trimesters of pregnancy. This result should be interpreted cautiously due to the lack of considering all of the potential confounders.https://www.tandfonline.com/doi/10.1080/01443615.2024.2362962Gestational diabetespollutantair pollutionPM2.5PM10 |
| spellingShingle | Sima Nazarpour Afshin Shokati Poursani Maryam Mousavi Fahimeh Ramezani Tehrani Samira Behboudi-Gandevani Investigation of the relationship between air pollution and gestational diabetes Journal of Obstetrics and Gynaecology Gestational diabetes pollutant air pollution PM2.5 PM10 |
| title | Investigation of the relationship between air pollution and gestational diabetes |
| title_full | Investigation of the relationship between air pollution and gestational diabetes |
| title_fullStr | Investigation of the relationship between air pollution and gestational diabetes |
| title_full_unstemmed | Investigation of the relationship between air pollution and gestational diabetes |
| title_short | Investigation of the relationship between air pollution and gestational diabetes |
| title_sort | investigation of the relationship between air pollution and gestational diabetes |
| topic | Gestational diabetes pollutant air pollution PM2.5 PM10 |
| url | https://www.tandfonline.com/doi/10.1080/01443615.2024.2362962 |
| work_keys_str_mv | AT simanazarpour investigationoftherelationshipbetweenairpollutionandgestationaldiabetes AT afshinshokatipoursani investigationoftherelationshipbetweenairpollutionandgestationaldiabetes AT maryammousavi investigationoftherelationshipbetweenairpollutionandgestationaldiabetes AT fahimehramezanitehrani investigationoftherelationshipbetweenairpollutionandgestationaldiabetes AT samirabehboudigandevani investigationoftherelationshipbetweenairpollutionandgestationaldiabetes |