1
|
Trees IR, Saha A, Putnick DL, Clayton PK, Mendola P, Bell EM, Sundaram R, Yeung EH. Prenatal exposure to air pollutant mixtures and birthweight in the upstate KIDS cohort. ENVIRONMENT INTERNATIONAL 2024; 187:108692. [PMID: 38677086 DOI: 10.1016/j.envint.2024.108692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 04/02/2024] [Accepted: 04/23/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND Single-pollutant models have linked prenatal PM2.5 exposure to lower birthweight. However, analyzing air pollutant mixtures better captures pollutant interactions and total effects. Unfortunately, strong correlations between pollutants restrict traditional methods. OBJECTIVES We explored the association between exposure to a mixture of air pollutants during different gestational age windows of pregnancy and birthweight. METHODS We included 4,635 mother-infant dyads from a New York State birth cohort born 2008-2010. Air pollution data were sourced from the EPA's Community Multiscale Air Quality model and matched to the census tract centroid of each maternal home address. Birthweight and gestational age were extracted from vital records. We applied linear regression to study the association between prenatal exposure to PM2.5, PM10, NOX, SO2, and CO and birthweight during six sensitive windows. We then utilized Bayesian kernel machine regression to examine the non-linear effects and interactions within this five-pollutant mixture. Final models adjusted for maternal socio-demographics, infant characteristics, and seasonality. RESULTS Single-pollutant linear regression models indicated that most pollutants were associated with a decrement in birthweight, specifically during the two-week window before birth. An interquartile range increase in PM2.5 exposure (IQR: 3.3 µg/m3) from the median during this window correlated with a 34 g decrement in birthweight (95 % CI: -54, -14), followed by SO2 (IQR: 2.0 ppb; β: -31), PM10 (IQR: 4.6 µg/m3; β: -29), CO (IQR: 60.8 ppb; β: -27), and NOX (IQR: 7.9 ppb; β: -26). Multi-pollutant BKMR models revealed that PM2.5, NOX, and CO exposure were negatively and non-linearly linked with birthweight. As the five-pollutant mixture increased, birthweight decreased until the median level of exposure. DISCUSSION Prenatal exposure to air pollutants, notably PM2.5, during the final two weeks of pregnancy may negatively impact birthweight. The non-linear relationships between air pollution and birthweight highlight the importance of studying pollutant mixtures and their interactions.
Collapse
Affiliation(s)
- Ian R Trees
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Abhisek Saha
- Biostatistics and Bioinformatics Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Diane L Putnick
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Priscilla K Clayton
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Pauline Mendola
- Department of Epidemiology and Environmental Health, University at Buffalo, United States
| | - Erin M Bell
- Department of Environmental Health Sciences, University at Albany School of Public Health, United States
| | - Rajeshwari Sundaram
- Biostatistics and Bioinformatics Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States.
| | - Edwina H Yeung
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States.
| |
Collapse
|
2
|
Heo S, Afanasyeva Y, Trasande L, Bell ML, Ghassabian A. Residential mobility in pregnancy and potential exposure misclassification of air pollution, temperature, and greenness. Environ Epidemiol 2023; 7:e273. [PMID: 38912392 PMCID: PMC11189681 DOI: 10.1097/ee9.0000000000000273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 09/06/2023] [Indexed: 06/25/2024] Open
Abstract
Introduction Epidemiological studies commonly use residential addresses at birth to estimate exposures throughout pregnancy, ignoring residential mobility. Lack of consideration for residential mobility during pregnancy might lead to exposure misclassification that should be addressed in environmental epidemiology. Methods We investigated potential exposure misclassification from estimating exposure during pregnancy by residence at delivery utilizing a prospective cohort of pregnant women in New York, United States (n = 1899; 2016-2019). We calculated exposure during pregnancy corresponding to each address for fine particles (PM2.5), temperature, and greenness (Enhanced Vegetation Index [EVI]). Results Twenty-two percent of participants moved at least once during pregnancy; 82.3% of movers changed residences during the second or third trimesters. Participants with better health, lower parity, and higher socioeconomic status were more likely to move. Exposures based on address at delivery rather than residential history overestimated exposure for PM2.5 (exposure error: range -5.7 to 4.6 µg/m3, average -0.6 µg/m3) and EVI (range -0.305 to 0.307, average -0.013), but not temperature. Overestimations were significantly larger for mothers with higher socioeconomic status. Our findings indicate that the error for prenatal exposure can occur when residential mobility is not considered and is disproportional by maternal characteristics. Conclusions Epidemiological studies should consider residential mobility in exposure assessments based on geolocation when possible, and results based on mother's residence at birth should be interpreted with understanding of potential differential exposure misclassification.
Collapse
Affiliation(s)
- Seulkee Heo
- School of the Environment, Yale University, New Haven, Connecticut
| | - Yelena Afanasyeva
- Department of Population Health at NYU Grossman School of Medicine, New York University, New York, New York
- Department of Pediatrics at NYU Grossman School of Medicine, New York University, New York, New York
| | - Leonardo Trasande
- Department of Population Health at NYU Grossman School of Medicine, New York University, New York, New York
- Department of Pediatrics at NYU Grossman School of Medicine, New York University, New York, New York
| | - Michelle L. Bell
- School of the Environment, Yale University, New Haven, Connecticut
| | - Akhgar Ghassabian
- Department of Population Health at NYU Grossman School of Medicine, New York University, New York, New York
- Department of Pediatrics at NYU Grossman School of Medicine, New York University, New York, New York
| |
Collapse
|
3
|
Martenies SE, Zhang M, Corrigan AE, Kvit A, Shields T, Wheaton W, Around Him D, Aschner J, Talavera-Barber MM, Barrett ES, Bastain TM, Bendixsen C, Breton CV, Bush NR, Cacho F, Camargo CA, Carroll KN, Carter BS, Cassidy-Bushrow AE, Cowell W, Croen LA, Dabelea D, Duarte CS, Dunlop AL, Everson TM, Habre R, Hartert TV, Helderman JB, Hipwell AE, Karagas MR, Lester BM, LeWinn KZ, Magzamen S, Morello-Frosch R, O’Connor TG, Padula AM, Petriello M, Sathyanarayana S, Stanford JB, Woodruff TJ, Wright RJ, Kress AM. Developing a National-Scale Exposure Index for Combined Environmental Hazards and Social Stressors and Applications to the Environmental Influences on Child Health Outcomes (ECHO) Cohort. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6339. [PMID: 37510572 PMCID: PMC10379099 DOI: 10.3390/ijerph20146339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/12/2023] [Accepted: 06/27/2023] [Indexed: 07/30/2023]
Abstract
Tools for assessing multiple exposures across several domains (e.g., physical, chemical, and social) are of growing importance in social and environmental epidemiology because of their value in uncovering disparities and their impact on health outcomes. Here we describe work done within the Environmental influences on Child Health Outcomes (ECHO)-wide Cohort Study to build a combined exposure index. Our index considered both environmental hazards and social stressors simultaneously with national coverage for a 10-year period. Our goal was to build this index and demonstrate its utility for assessing differences in exposure for pregnancies enrolled in the ECHO-wide Cohort Study. Our unitless combined exposure index, which collapses census-tract level data into a single relative measure of exposure ranging from 0-1 (where higher values indicate higher exposure to hazards), includes indicators for major air pollutants and air toxics, features of the built environment, traffic exposures, and social determinants of health (e.g., lower educational attainment) drawn from existing data sources. We observed temporal and geographic variations in index values, with exposures being highest among participants living in the West and Northeast regions. Pregnant people who identified as Black or Hispanic (of any race) were at higher risk of living in a "high" exposure census tract (defined as an index value above 0.5) relative to those who identified as White or non-Hispanic. Index values were also higher for pregnant people with lower educational attainment. Several recommendations follow from our work, including that environmental and social stressor datasets with higher spatial and temporal resolutions are needed to ensure index-based tools fully capture the total environmental context.
Collapse
Affiliation(s)
- Sheena E. Martenies
- Department of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
| | - Mingyu Zhang
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Anne E. Corrigan
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Anton Kvit
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Timothy Shields
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - William Wheaton
- Research Triangle Institute, Research Triangle Park, NC 27709, USA
| | | | - Judy Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | | | - Emily S. Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ 08854, USA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | | | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Nicole R. Bush
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94143, USA
| | - Ferdinand Cacho
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Carlos A. Camargo
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Kecia N. Carroll
- Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Brian S. Carter
- Department of Pediatrics-Neonatology, Children’s Mercy Hospital, Kansas City, MO 64108, USA
| | | | - Whitney Cowell
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA;
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Cristiane S. Duarte
- New York State Psychiatric Institute, Columbia University, New York, NY 10032, USA
| | - Anne L. Dunlop
- Department of Obstetrics and Gynecology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Todd M. Everson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tina V. Hartert
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Jennifer B. Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Alison E. Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03756, USA
| | - Barry M. Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI 02903, USA
| | - Kaja Z. LeWinn
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy and Management and School of Public Health, University of California Berkeley, Berkeley, CA 94720, USA
| | - Thomas G. O’Connor
- Departments of Psychiatry, Psychology, Neuroscience, and Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY 41642, USA
| | - Amy M. Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Michael Petriello
- Institute of Environmental Health Sciences and Department of Pharmacology, Wayne State University, Detroit, MI 48202, USA
| | - Sheela Sathyanarayana
- Seattle Children’s Research Institute, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Joseph B. Stanford
- Department of Pediatrics, Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - Tracey J. Woodruff
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Rosalind J. Wright
- Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Amii M. Kress
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| |
Collapse
|
4
|
Martenies SE, Zhang M, Corrigan AE, Kvit A, Shields T, Wheaton W, Bastain TM, Breton CV, Dabelea D, Habre R, Magzamen S, Padula AM, Him DA, Camargo CA, Cowell W, Croen LA, Deoni S, Everson TM, Hartert TV, Hipwell AE, McEvoy CT, Morello-Frosch R, O'Connor TG, Petriello M, Sathyanarayana S, Stanford JB, Woodruff TJ, Wright RJ, Kress AM. Associations between combined exposure to environmental hazards and social stressors at the neighborhood level and individual perinatal outcomes in the ECHO-wide cohort. Health Place 2022; 76:102858. [PMID: 35872389 PMCID: PMC9661655 DOI: 10.1016/j.healthplace.2022.102858] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/06/2022] [Accepted: 06/28/2022] [Indexed: 11/04/2022]
Abstract
Limited studies examine how prenatal environmental and social exposures jointly impact perinatal health. Here we investigated relationships between a neighborhood-level combined exposure (CE) index assessed during pregnancy and perinatal outcomes, including birthweight, gestational age, and preterm birth. Across all participants, higher CE index scores were associated with small decreases in birthweight and gestational age. We also observed effect modification by race; infants born to Black pregnant people had a greater risk of preterm birth for higher CE values compared to White infants. Overall, our results suggest that neighborhood social and environmental exposures have a small but measurable joint effect on neonatal indicators of health.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Dana Dabelea
- University of Colorado Anschutz Medical Campus, USA
| | | | | | | | | | | | | | - Lisa A Croen
- Kaiser Permanente Northern California Division of Research, USA
| | | | - Todd M Everson
- Rollins School of Public Health at Emory University, USA
| | | | | | | | | | | | - Michael Petriello
- Wayne State University, Institute of Environmental Health Sciences, USA
| | | | - Joseph B Stanford
- University of Utah, Departments of Family and Preventive Medicine and Pediatrics, USA
| | | | | | | |
Collapse
|