Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes: A structural equation modeling approach
Objective: This cross-sectional study aims to investigate the direct and indirect relationships between exposure to a metal mixture in air and adverse pregnancy outcomes across gestational stages. Methods: With 46,829 births in 2021 in two Florida counties and Air Quality System data, structural equ...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Hygiene and Environmental Health Advances |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773049224000266 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850167756687671296 |
|---|---|
| author | Boubakari Ibrahimou Ning Sun Sophie Dabo-Niang |
| author_facet | Boubakari Ibrahimou Ning Sun Sophie Dabo-Niang |
| author_sort | Boubakari Ibrahimou |
| collection | DOAJ |
| description | Objective: This cross-sectional study aims to investigate the direct and indirect relationships between exposure to a metal mixture in air and adverse pregnancy outcomes across gestational stages. Methods: With 46,829 births in 2021 in two Florida counties and Air Quality System data, structural equation modeling was used to construct latent metal mixtures in PM2.5 and unravel their effects on pregnancy complications (preeclampsia and gestational diabetes) and birth outcomes (low birth weight and preterm birth risks). Results: A latent variable featuring seven metals (Aluminum, Calcium, Iron, Magnesium, Manganese, Silicon, Vanadium) was identified through the measurement model. The latent metal mixture exposure had direct effects on gestational diabetes and preterm birth (1st trimester, 2nd trimester), low birth weight (1st trimester), and preeclampsia (2nd trimester). When considering total effects, the effects on low birth weight in the 1st trimester and on preeclampsia in 2nd trimester were masked, and the latent metal mixture increased the low-birth-weight risk in 2nd trimester by 2 % (OR = 1.02, 95 % CI = [1.00, 1.03]). Conclusion: This study reveals time-dependent associations between a metal mixture in PM2.5 exposure and adverse pregnancy outcomes, highlights the need to address dust in PM2.5, and provides additional evidence for understanding the pathway of the pollution effects on fetal health. |
| format | Article |
| id | doaj-art-e2468c68164242d0a05270141cbfa158 |
| institution | OA Journals |
| issn | 2773-0492 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Hygiene and Environmental Health Advances |
| spelling | doaj-art-e2468c68164242d0a05270141cbfa1582025-08-20T02:21:07ZengElsevierHygiene and Environmental Health Advances2773-04922024-12-011210011310.1016/j.heha.2024.100113Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes: A structural equation modeling approachBoubakari Ibrahimou0Ning Sun1Sophie Dabo-Niang2Department of Biostatistics, Florida International University, Miami, FL, 33199, USA; Corresponding author at: Department of Biostatistics, Florida International University, Miami, FL, 33199, USA.Department of Biostatistics, Florida International University, Miami, FL, 33199, USACNRS - Université de Montréal, CRM - CNRS, Montréal, Québec, Canada; MODAL team, Centre Inria de l’Université de Lille, Villeneuve d’Ascq-59650, France; CNRS UMR 8524-Laboratoire Paul Painlevé, Université de Lille, Villeneuve d’Ascq-59650, FranceObjective: This cross-sectional study aims to investigate the direct and indirect relationships between exposure to a metal mixture in air and adverse pregnancy outcomes across gestational stages. Methods: With 46,829 births in 2021 in two Florida counties and Air Quality System data, structural equation modeling was used to construct latent metal mixtures in PM2.5 and unravel their effects on pregnancy complications (preeclampsia and gestational diabetes) and birth outcomes (low birth weight and preterm birth risks). Results: A latent variable featuring seven metals (Aluminum, Calcium, Iron, Magnesium, Manganese, Silicon, Vanadium) was identified through the measurement model. The latent metal mixture exposure had direct effects on gestational diabetes and preterm birth (1st trimester, 2nd trimester), low birth weight (1st trimester), and preeclampsia (2nd trimester). When considering total effects, the effects on low birth weight in the 1st trimester and on preeclampsia in 2nd trimester were masked, and the latent metal mixture increased the low-birth-weight risk in 2nd trimester by 2 % (OR = 1.02, 95 % CI = [1.00, 1.03]). Conclusion: This study reveals time-dependent associations between a metal mixture in PM2.5 exposure and adverse pregnancy outcomes, highlights the need to address dust in PM2.5, and provides additional evidence for understanding the pathway of the pollution effects on fetal health.http://www.sciencedirect.com/science/article/pii/S2773049224000266Birth outcomesMaternal complicationAir pollutionMetal mixtureStructural equation modeling |
| spellingShingle | Boubakari Ibrahimou Ning Sun Sophie Dabo-Niang Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes: A structural equation modeling approach Hygiene and Environmental Health Advances Birth outcomes Maternal complication Air pollution Metal mixture Structural equation modeling |
| title | Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes: A structural equation modeling approach |
| title_full | Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes: A structural equation modeling approach |
| title_fullStr | Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes: A structural equation modeling approach |
| title_full_unstemmed | Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes: A structural equation modeling approach |
| title_short | Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes: A structural equation modeling approach |
| title_sort | assessing the multi dimensional effects of air pollution on maternal complications and birth outcomes a structural equation modeling approach |
| topic | Birth outcomes Maternal complication Air pollution Metal mixture Structural equation modeling |
| url | http://www.sciencedirect.com/science/article/pii/S2773049224000266 |
| work_keys_str_mv | AT boubakariibrahimou assessingthemultidimensionaleffectsofairpollutiononmaternalcomplicationsandbirthoutcomesastructuralequationmodelingapproach AT ningsun assessingthemultidimensionaleffectsofairpollutiononmaternalcomplicationsandbirthoutcomesastructuralequationmodelingapproach AT sophiedaboniang assessingthemultidimensionaleffectsofairpollutiononmaternalcomplicationsandbirthoutcomesastructuralequationmodelingapproach |