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Oh J, Buckley JP, Li X, Gachigi KK, Kannan K, Lyu W, Ames JL, Barrett ES, Bastain TM, Breton CV, Buss C, Croen LA, Dunlop AL, Ferrara A, Ghassabian A, Herbstman JB, Hernandez-Castro I, Hertz-Picciotto I, Kahn LG, Karagas MR, Kuiper JR, McEvoy CT, Meeker JD, Morello-Frosch R, Padula AM, Romano ME, Sathyanarayana S, Schantz S, Schmidt RJ, Simhan H, Starling AP, Tylavsky FA, Volk HE, Woodruff TJ, Zhu Y, Bennett DH. Erratum: "Associations of Organophosphate Ester Flame Retardant Exposures during Pregnancy with Gestational Duration and Fetal Growth: The Environmental influences on Child Health Outcomes (ECHO) Program". Environ Health Perspect 2024; 132:49003. [PMID: 38598327 PMCID: PMC11005959 DOI: 10.1289/ehp14968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 03/15/2024] [Indexed: 04/12/2024]
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Ji N, Eckel SP, Foley H, Yang T, Lurmann F, Grubbs BH, Habre R, Bastain TM, Farzan SF, Breton CV. Prenatal air pollution exposure is associated with inflammatory, cardiovascular, and metabolic biomarkers in mothers and newborns. Environ Res 2024; 252:118797. [PMID: 38555084 DOI: 10.1016/j.envres.2024.118797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 02/20/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Prenatal air pollution exposure has been associated with individual inflammatory, cardiovascular, and metabolic biomarkers in mothers and neonates. However, studies of air pollution and a comprehensive panel of biomarkers across maternal and cord blood samples remain limited. Few studies used data-driven methods to identify biomarker groupings that converge biomarkers from multiple biological pathways. This study aims to investigate the impacts of prenatal air pollution on groups of biomarkers in maternal and cord blood samples. METHODS In the Maternal And Developmental Risks from Environmental and Social Stressors (MADRES) cohort, 87 biomarkers were quantified from 45 trimester 1 maternal blood and 55 cord blood samples. Pregnancy and trimester 1-averaged concentrations of particulate matter ≤2.5 μm and ≤10 μm in diameter (PM2.5 and PM10), nitrogen dioxide (NO2), and ozone (O3) were estimated, using inverse distance squared weighted spatial interpolation from regulatory air monitoring stations. Traffic-related NOx was assessed using California Line Source Dispersion Model: freeway/highway roads, non-freeway major roads, non-freeway minor roads, and their sum as total NOx. Elastic Net (EN) regression within the rexposome R package was used to group biomarkers and assess their associations with air pollution. RESULTS In maternal samples, trimester 1-averaged PM10 was associated with elevated inflammation biomarkers and lowered cardiovascular biomarkers. NO2 exhibited positive associations with cardiovascular and inflammation markers. O3 was inversely associated with inflammation, metabolic, and cardiovascular biomarkers. In cord blood, pregnancy-averaged PM2.5 was associated with higher cardiovascular biomarkers and lower metabolic biomarkers. PM10 was associated with lower inflammation and higher cardiovascular biomarkers. Total and major road NOx was associated with lower cardiovascular biomarkers. CONCLUSION Prenatal air pollution exposure was associated with changes in biomarkers related to inflammation, cardiovascular, metabolic, cancer, and neurological function in both mothers and neonates. This study shed light on mechanisms by which air pollution can influence biological function during pregnancy.
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Affiliation(s)
- Nan Ji
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Helen Foley
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Fred Lurmann
- Sonoma Technology Inc., Petaluma, CA, 94954, United States
| | - Brendan H Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States.
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Niu Z, Habre R, Yang T, Chen X, Vigil M, Barragan K, Lurmann F, Pavlovic NR, Grubbs BH, Toledo-Corral CM, Johnston J, Dunton GF, Lerner D, Lurvey N, Al-Marayati L, Eckel SP, Breton CV, Bastain TM, Farzan SF. Increased Risk of Gestational Hypertension by Periconceptional Exposure to Ambient Air Pollution and Effect Modification by Prenatal Depression. Hypertension 2024. [PMID: 38533642 DOI: 10.1161/hypertensionaha.123.22272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 03/17/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND Air pollution has been associated with gestational hypertension (GH) and preeclampsia, but susceptible windows of exposure and potential vulnerability by comorbidities, such as prenatal depression, remain unclear. METHODS We ascertained GH and preeclampsia cases in a prospective pregnancy cohort in Los Angeles, CA. Daily levels of ambient particles (with a diameter of ≤10 μm [PM10] or ≤2.5 μm [PM2.5]), nitrogen dioxide, and ozone were averaged for each week from 12 weeks preconception to 20 gestational weeks. We used distributed lag models to identify susceptible exposure windows, adjusting for potential confounders. Analyses were additionally stratified by probable prenatal depression to explore population vulnerability. RESULTS Among 619 participants, 60 developed preeclampsia and 42 developed GH. We identified a susceptible window for exposure to PM2.5 from 1 week preconception to 11 weeks postconception: higher exposure (5 µg/m3) within this window was associated with an average of 8% (95% CI, 1%-15%) higher risk of GH. Among participants with probable prenatal depression (n=179; 32%), overlapping sensitive windows were observed for all pollutants from 8 weeks before to 10 weeks postconception with increased risk of GH (PM2.5, 16% [95% CI, 3%-31%]; PM10, 39% [95% CI, 13%-72%]; nitrogen dioxide, 65% [95% CI, 17%-134%]; and ozone, 45% [95% CI, 9%-93%]), while the associations were close to null among those without prenatal depression. Air pollutants were not associated with preeclampsia in any analyses. CONCLUSIONS We identified periconception through early pregnancy as a susceptible window of air pollution exposure with an increased risk of GH. Prenatal depression increases vulnerability to air pollution exposure and GH.
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Affiliation(s)
- Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
| | - Xinci Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
| | - Mario Vigil
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
| | - Karina Barragan
- Department of Health Sciences, California State University, Northridge (K.B., C.M.T.-C.)
| | - Fred Lurmann
- Sonoma Technology, Inc, Petaluma, CA (F.L., N.R.P.)
| | | | - Brendan H Grubbs
- Department of Obstetrics and Gynecology, University of Southern California, Los Angeles. (B.H.G., L.A.-M.)
| | - Claudia M Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
- Department of Health Sciences, California State University, Northridge (K.B., C.M.T.-C.)
| | - Jill Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
| | | | | | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, University of Southern California, Los Angeles. (B.H.G., L.A.-M.)
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles. (Z.N., R.H, T.Y., X.C., M.V., C.M.T.-C., J.J., G.F.D., S.P.E., C.V.B., T.M.B., S.F.F.)
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Yi L, Xu Y, O'Connor S, Cabison J, Rosales M, Chu D, Chavez TA, Johnson M, Mason TB, Eckel SP, Bastain TM, Breton CV, Wilson JP, Dunton GF, Habre R. GPS-derived environmental exposures during pregnancy and early postpartum - Evidence from the madres cohort. Sci Total Environ 2024; 918:170551. [PMID: 38336080 DOI: 10.1016/j.scitotenv.2024.170551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/26/2024] [Accepted: 01/27/2024] [Indexed: 02/12/2024]
Abstract
The built and natural environment factors (e.g., greenspace, walkability) are associated with maternal and infant health during and after pregnancy. Most pregnancy studies assess exposures to environmental factors via static methods (i.e., residential location at a single point in time, usually 3rd trimester). These do not capture dynamic exposures encountered in activity spaces (e.g., locations one visits and paths one travels) and their changes over time. In this study, we aimed to compare daily environmental exposure estimates using residential and global positioning systems (GPS)-measured activity space approaches and evaluated potential for exposure measurement error in the former. To do this, we collected four days of continuous geolocation monitoring during the 1st and 3rd trimesters of pregnancy and at 4-6 months postpartum in sixty-two pregnant Hispanic women enrolled in the MADRES cohort. We applied residential and GPS-based methods to assess daily exposures to greenspace, access to parks and transit, and walkability, respectively. We assessed potential for exposure measurement error in residential vs GPS-based estimates using Pearson correlations for each measure overall and by study period. We found residential and GPS-based estimates of daily exposure to total areas of parks and open spaces were weakly positively correlated (r = 0.31, P < .001) across pregnancy and postpartum periods. Residential estimates of %greenspace (r = 0.52, P < .001) and tree cover (r = 0.55, P < .001) along walkable roads were moderately correlated with GPS-based estimates. Residential and GPS-based estimates of public transit proximity, pedestrian-oriented intersection density, and walkability index score were all highly positively correlated (r > 0.70, P < .001). We also found associations between residential and GPS-based estimates decreased among participants with greater daily mobility. Our findings suggest the popular approach that assessing the built and natural environment exposures using residential methods at one time point may introduce exposure measurement error in pregnancy studies. GPS-based methods, to the extent feasible, are recommended for future studies.
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Affiliation(s)
- Li Yi
- Spatial Sciences Institute, University of Southern California, United States of America.
| | - Yan Xu
- Spatial Sciences Institute, University of Southern California, United States of America
| | - Sydney O'Connor
- Department of Population and Public Health Sciences, University of Southern California, United States of America
| | - Jane Cabison
- Department of Population and Public Health Sciences, University of Southern California, United States of America
| | - Marisela Rosales
- Department of Population and Public Health Sciences, University of Southern California, United States of America
| | - Daniel Chu
- Department of Population and Public Health Sciences, University of Southern California, United States of America
| | - Thomas A Chavez
- Department of Population and Public Health Sciences, University of Southern California, United States of America
| | - Mark Johnson
- Department of Population and Public Health Sciences, University of Southern California, United States of America
| | - Tyler B Mason
- Department of Population and Public Health Sciences, University of Southern California, United States of America
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, University of Southern California, United States of America
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, United States of America
| | - Carrie V Breton
- Department of Population and Public Health Sciences, University of Southern California, United States of America
| | - John P Wilson
- Spatial Sciences Institute, University of Southern California, United States of America; Department of Population and Public Health Sciences, University of Southern California, United States of America; Departments of Civil & Environmental Engineering, Computer Science, and Sociology, University of Southern California, United States of America
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, University of Southern California, United States of America; Department of Psychology, University of Southern California, United States of America
| | - Rima Habre
- Spatial Sciences Institute, University of Southern California, United States of America; Department of Population and Public Health Sciences, University of Southern California, United States of America
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Maldonado LE, Bastain TM, Toledo‐Corral CM, Dunton GF, Habre R, Eckel SP, Yang T, Grubbs BH, Chavez T, Al‐Marayati LA, Breton CV, Farzan SF. Maternal Dietary Patterns During Pregnancy Are Linked to Hypertensive Disorders of Pregnancy Among a Predominantly Low-Income US Hispanic/Latina Pregnancy Cohort. J Am Heart Assoc 2024; 13:e029848. [PMID: 38410940 PMCID: PMC10944043 DOI: 10.1161/jaha.123.029848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 08/22/2023] [Indexed: 02/28/2024]
Abstract
BACKGROUND Diet during pregnancy may be a potential intervention for preventing hypertensive disorders of pregnancy that disproportionally burdens Hispanic/Latina women. METHODS AND RESULTS The MADRES (Maternal And Developmental Risks from Environmental and Social stressors) study (n=451) is a prospective pregnancy cohort of predominantly low-income Hispanic/Latina women in Los Angeles, California, who completed up to 2 staff-administered 24-hour dietary recalls in the third trimester of pregnancy. Hypertensive disorders of pregnancy were abstracted from medical records and based on a physician's diagnosis or systolic or diastolic blood pressure (≥140 or ≥90 mm Hg, respectively) at ≥2 consecutive prenatal visits. Using multivariable logistic regression, we evaluated associations of 2 previously derived dietary patterns in this population (solid fats, refined grains, and cheese and vegetables, oils, and fruit) and the Healthy Eating Index 2015 with (1) gestational hypertension, (2) preeclampsia, and (3) any hypertensive disorder of pregnancy (either gestational hypertension or preeclampsia). In separate models, we additionally tested interactions with prepregnancy body mass index. Comparing highest-to-lowest quartiles, the solid fats, refined grains, and cheese dietary pattern was associated with an increased odds of any hypertensive disorder of pregnancy (odds ratio [OR], 3.99 [95% CI, 1.44-11.0]; Ptrend=0.014) and preeclampsia (OR, 4.10 [95% CI, 1.25-13.5]; Ptrend=0.036), whereas the vegetables, oils, and fruit pattern was associated with reduced odds of preeclampsia (OR, 0.32 [95% CI, 0.10-0.99]; Ptrend=0.041). Among the overweight prepregnancy body mass index category, inverse associations of vegetables, oils, and fruit and Healthy Eating Index 2015 with preeclampsia were more pronounced (both Pinteractions=0.017). Healthy Eating Index 2015 findings were generally nonsignificant. CONCLUSIONS While the solid fats, refined grains, and cheese diet was strongly associated with preeclampsia during pregnancy, findings suggest the vegetables, oils, and fruit diet may be more relevant than Healthy Eating Index 2015 for preventing preeclampsia among low-income Hispanic/Latina women.
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Affiliation(s)
- Luis E. Maldonado
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
| | | | - Genevieve F. Dunton
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
- Department of PsychologyUniversity of Southern CaliforniaLos AngelesCA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
| | - Brendan H. Grubbs
- Department of Obstetrics and GynecologyKeck School of MedicineLos AngelesCA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
| | | | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA
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Zheng S, Mansolf M, McGrath M, Churchill ML, Bekelman TA, Brennan PA, Margolis AE, Nozadi SS, Bastain TM, Elliott AJ, LeWinn KZ, Hofheimer JA, Leve LD, Rennie B, Zimmerman E, Marable CA, McEvoy CT, Liu C, Sullivan A, Woodruff TJ, Ghosh S, Leventhal B, Ferrara A, Lewis J, Bishop S. Measurement bias in caregiver-report of early childhood behavior problems across demographic factors in an ECHO-wide diverse sample. JCPP Adv 2024; 4:e12198. [PMID: 38486952 PMCID: PMC10933609 DOI: 10.1002/jcv2.12198] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 08/11/2023] [Indexed: 03/17/2024] Open
Abstract
Background Research and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5-5 functions equivalently at the item level across diverse samples is unknown. Methods Item-level data of CBCL/1.5-5 from a large sample of young children (N = 9087) were drawn from 26 cohorts in the Environmental influences on Child Health Outcomes program. Factor analyses and the alignment method were applied to examine measurement invariance (MI) and differential item functioning (DIF) across child (age, sex, bilingual status, and neurodevelopmental disorders), and caregiver (sex, education level, household income level, depression, and language version administered) characteristics. Child race was examined in sensitivity analyses. Results Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status. Conclusions The CBCL/1.5-5, a caregiver-report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets.
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Affiliation(s)
- Shuting Zheng
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCAUSA
| | - Maxwell Mansolf
- Department of Medical Social SciencesFeinberg School of MedicineNorthwestern UniversityChicagoILUSA
| | - Monica McGrath
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMDUSA
| | - Marie L. Churchill
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMDUSA
| | - Traci A. Bekelman
- Department of EpidemiologyColorado School of Public HealthAuroraCOUSA
| | | | - Amy E. Margolis
- Department of PsychiatryColumbia University Irving Medical CenterNew York State Psychiatric InstituteNew YorkNYUSA
| | - Sara S. Nozadi
- Community Environmental HealthCollege of PharmacyHealth Sciences CenterUniversity of New MexicoAlbuquerqueNMUSA
| | - Theresa M. Bastain
- Department of Population and Public Health SciencesUniversity of Southern CaliforniaLos AngelesCAUSA
| | | | - Kaja Z. LeWinn
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCAUSA
| | - Julie A. Hofheimer
- Department of PediatricsDivision of Neonatal‐Perinatal MedicineNorth Carolina at Chapel HillChapel HillNCUSA
| | - Leslie D. Leve
- Prevention Science InstituteUniversity of OregonEugeneORUSA
| | - Brandon Rennie
- Health Sciences CenterDepartment of PediatricsCenter for Development and DisabilityUniversity of New MexicoNavajo Birth Cohort StudyAlbuquerqueNMUSA
| | - Emily Zimmerman
- Communication Sciences & DisordersNortheastern UniversityBostonMAUSA
| | - Carmen A. Marable
- School of MedicineUniversity of North Carolina at Chapel HillNeuroscience CurriculumChapel HillNCUSA
| | - Cindy T. McEvoy
- Department of PediatricsPape Pediatric Research InstituteOregon Health & Science UniversityPortlandORUSA
| | - Chang Liu
- Department of PsychologyWashington State UniversityPullmanWAUSA
| | - Alexis Sullivan
- Center for Health and CommunityUniversity of CaliforniaSan FranciscoCAUSA
| | - Tracey J. Woodruff
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCAUSA
| | - Samiran Ghosh
- Department of Biostatistics and Data Science & Coordinating Center for Clinical Trials (CCCT)University of Texas School of Public HealthHoustonTXUSA
| | - Bennett Leventhal
- University of ChicagoNavajo Birth Cohort StudyUniversity of New MexicoAlbuquerqueNMUSA
| | - Assiamira Ferrara
- Division of ResearchKaiser Permanente Northern CaliforniaOaklandCAUSA
| | - Johnnye Lewis
- Navajo Birth Cohort StudyCommunity Environmental Health ProgramCollege of PharmacyUniversity of New MexicoAlbuquerqueNMUSA
| | - Somer Bishop
- Department of Psychiatry and Behavioral SciencesWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCAUSA
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Oken E, Musci RJ, Westlake M, Gachigi K, Aschner JL, Barnes KL, Bastain TM, Buss C, Camargo CA, Cordero JF, Dabelea D, Dunlop AL, Ghassabian A, Hipwell AE, Hockett CW, Karagas MR, Lugo-Candelas C, Margolis AE, O’Connor TG, Shuster CL, Straughen JK, Lyall K. Demographic and health characteristics associated with fish and n-3 fatty acid supplement intake during pregnancy: results from pregnancy cohorts in the ECHO programme. Public Health Nutr 2024; 27:e94. [PMID: 38410088 PMCID: PMC10993063 DOI: 10.1017/s136898002400051x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 01/16/2024] [Accepted: 02/13/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVE n-3 fatty acid consumption during pregnancy is recommended for optimal pregnancy outcomes and offspring health. We examined characteristics associated with self-reported fish or n-3 supplement intake. DESIGN Pooled pregnancy cohort studies. SETTING Cohorts participating in the Environmental influences on Child Health Outcomes (ECHO) consortium with births from 1999 to 2020. PARTICIPANTS A total of 10 800 pregnant women in twenty-three cohorts with food frequency data on fish consumption; 12 646 from thirty-five cohorts with information on supplement use. RESULTS Overall, 24·6 % reported consuming fish never or less than once per month, 40·1 % less than once a week, 22·1 % 1-2 times per week and 13·2 % more than twice per week. The relative risk (RR) of ever (v. never) consuming fish was higher in participants who were older (1·14, 95 % CI 1·10, 1·18 for 35-40 v. <29 years), were other than non-Hispanic White (1·13, 95 % CI 1·08, 1·18 for non-Hispanic Black; 1·05, 95 % CI 1·01, 1·10 for non-Hispanic Asian; 1·06, 95 % CI 1·02, 1·10 for Hispanic) or used tobacco (1·04, 95 % CI 1·01, 1·08). The RR was lower in those with overweight v. healthy weight (0·97, 95 % CI 0·95, 1·0). Only 16·2 % reported n-3 supplement use, which was more common among individuals with a higher age and education, a lower BMI, and fish consumption (RR 1·5, 95 % CI 1·23, 1·82 for twice-weekly v. never). CONCLUSIONS One-quarter of participants in this large nationwide dataset rarely or never consumed fish during pregnancy, and n-3 supplement use was uncommon, even among those who did not consume fish.
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Affiliation(s)
- Emily Oken
- Division of Chronic Disease research across the Lifecourse, Department of
Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care
Institute, 401 Park Drive, Suite 401 East, Boston,
MA, USA
| | - Rashelle J Musci
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD,
USA
| | | | - Kennedy Gachigi
- Johns Hopkins Bloomberg School of Public Health,
Baltimore, MD, USA
| | - Judy L Aschner
- Department of Pediatrics, Joseph M. Sanzari Children’s Hospital,
Hackensack Meridian School of Medicine, Nutley,
NJ, USA
- Albert Einstein College of Medicine, Bronx,
NY, USA
| | | | - Theresa M Bastain
- Department of Population and Public Health Sciences,
University of Southern California, Los Angeles,
CA, USA
| | - Claudia Buss
- Department of Medical Psychology, Charité University of
Medicine Berlin, Berlin, Germany
- Development, Health, Disease Research Program, University of
California Irvine, Irvine, CA,
USA
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital,
Harvard Medical School, Boston, MA,
USA
| | - Jose F Cordero
- Department of Epidemiology and Biostatistics, College of Public Health,
University of Georgia, Athens, GA,
USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center,
University of Colorado Anschutz Medical Campus,
Aurora, CO, USA
| | - Anne L Dunlop
- Department of Gynecology & Obstetrics, Emory University
School of Medicine, Atlanta, GA,
USA
| | - Akhgar Ghassabian
- Department of Pediatrics, New York University Grossman
School of Medicine, New York, NY,
USA
| | - Alison E Hipwell
- Department of Psychiatry, University of
Pittsburgh, Pittsburgh, PA,
USA
| | | | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at
Dartmouth, Lebanon, NH, USA
| | | | - Amy E Margolis
- Columbia University Irving Medical center, New York,
NY, USA
| | - Thomas G O’Connor
- Departments of Psychiatry, Psychology, Neuroscience, Obstetrics and
Gynecology, University of Rochester, Rochester,
NY, USA
| | - Coral L Shuster
- Brown Center for the Study of Children at Risk, Women and
Infants Hospital, Providence, RI,
USA
| | - Jennifer K Straughen
- Department of Public Health Sciences, Henry Ford Health
System, Detroit, MI, USA
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8
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Mohazzab-Hosseinian S, Garcia E, Wiemels J, Marconett C, Corona K, Howe CG, Foley H, Farzan SF, Bastain TM, Breton CV. Effect of parental adverse childhood experiences on intergenerational DNA methylation signatures from peripheral blood mononuclear cells and buccal mucosa. Transl Psychiatry 2024; 14:89. [PMID: 38342906 PMCID: PMC10859367 DOI: 10.1038/s41398-024-02747-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 12/15/2023] [Accepted: 01/08/2024] [Indexed: 02/13/2024] Open
Abstract
In this study, the effect of cumulative ACEs experienced on human maternal DNA methylation (DNAm) was estimated while accounting for interaction with domains of ACEs in prenatal peripheral blood mononuclear cell samples from the Maternal and Developmental Risks from Environmental Stressors (MADRES) pregnancy cohort. The intergenerational transmission of ACE-associated DNAm was also explored used paired maternal (N = 120) and neonatal cord blood (N = 69) samples. Replication in buccal samples was explored in the Children's Health Study (CHS) among adult parental (N = 31) and pediatric (N = 114) samples. We used a four-level categorical indicator variable for ACEs exposure: none (0 ACEs), low (1-3 ACEs), moderate (4-6 ACEs), and high (>6 ACEs). Effects of ACEs on maternal DNAm (N = 240) were estimated using linear models. To evaluate evidence for intergenerational transmission, mediation analysis (N = 60 mother-child pairs) was used. Analysis of maternal samples displayed some shared but mostly distinct effects of ACEs on DNAm across low, moderate, and high ACEs categories. CLCN7 and PTPRN2 was associated with maternal DNAm in the low ACE group and this association replicated in the CHS. CLCN7 was also nominally significant in the gene expression correlation analysis among maternal profiles (N = 35), along with 11 other genes. ACE-associated methylation was observed in maternal and neonatal profiles in the COMT promoter region, with some evidence of mediation by maternal COMT methylation. Specific genomic loci exhibited mutually exclusive maternal ACE effects on DNAm in either maternal or neonatal population. There is some evidence for an intergenerational effect of ACEs, supported by shared DNAm signatures in the COMT gene across maternal-neonatal paired samples.
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Affiliation(s)
- Sahra Mohazzab-Hosseinian
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
| | - Erika Garcia
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Joseph Wiemels
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Crystal Marconett
- Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Hastings Center for Pulmonary Research, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Karina Corona
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Caitlin G Howe
- Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH, 03756, USA
| | - Helen Foley
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, 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.
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9
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Xu Y, O'Sharkey K, Cabison J, Rosales M, Chavez T, Johnson M, Yang T, Cho SH, Chartier R, Grubbs B, Lurvey N, Lerner D, Lurmann F, Farzan S, Bastain TM, Breton C, Wilson JP, Habre R. Sources of personal PM 2.5 exposure during pregnancy in the MADRES cohort. J Expo Sci Environ Epidemiol 2024:10.1038/s41370-024-00648-z. [PMID: 38326532 DOI: 10.1038/s41370-024-00648-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND Personal exposure to fine particulate matter (PM2.5) is impacted by different sources each with different chemical composition. Determining these sources is important for reducing personal exposure and its health risks especially during pregnancy. OBJECTIVE Identify main sources and their contributions to the personal PM2.5 exposure in 213 women in the 3rd trimester of pregnancy in Los Angeles, CA. METHODS We measured 48-hr integrated personal PM2.5 exposure and analyzed filters for PM2.5 mass, elemental composition, and optical carbon fractions. We used the EPA Positive Matrix Factorization (PMF) model to resolve and quantify the major sources of personal PM2.5 exposure. We then investigated bivariate relationships between sources, time-activity patterns, and environmental exposures in activity spaces and residential neighborhoods to further understand sources. RESULTS Mean personal PM2.5 mass concentration was 22.3 (SD = 16.6) μg/m3. Twenty-five species and PM2.5 mass were used in PMF with a final R2 of 0.48. We identified six sources (with major species in profiles and % contribution to PM2.5 mass) as follows: secondhand smoking (SHS) (brown carbon, environmental tobacco smoke; 65.3%), fuel oil (nickel, vanadium; 11.7%), crustal (aluminum, calcium, silicon; 11.5%), fresh sea salt (sodium, chlorine; 4.7%), aged sea salt (sodium, magnesium, sulfur; 4.3%), and traffic (black carbon, zinc; 2.6%). SHS was significantly greater in apartments compared to houses. Crustal source was correlated with more occupants in the household. Aged sea salt increased with temperature and outdoor ozone, while fresh sea salt was highest on days with westerly winds from the Pacific Ocean. Traffic was positively correlated with ambient NO2 and traffic-related NOx at residence. Overall, 76.8% of personal PM2.5 mass came from indoor or personal compared to outdoor sources. IMPACT We conducted source apportionment of personal PM2.5 samples in pregnancy in Los Angeles, CA. Among identified sources, secondhand smoking contributed the most to the personal exposure. In addition, traffic, crustal, fuel oil, fresh and aged sea salt sources were also identified as main sources. Traffic sources contained markers of combustion and non-exhaust wear emissions. Crustal source was correlated with more occupants in the household. Aged sea salt source increased with temperature and outdoor ozone and fresh sea salt source was highest on days with westerly winds from the Pacific Ocean.
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Affiliation(s)
- Yan Xu
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA.
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
| | - Karl O'Sharkey
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Jane Cabison
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Marisela Rosales
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Mark Johnson
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | | | | | - Brendan Grubbs
- Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Shohreh Farzan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Carrie Breton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - John P Wilson
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
- Department of Civil & Environmental Engineering, Computer Science, and Sociology, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
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10
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Guo F, Chen X, Howland S, Danza P, Niu Z, Gauderman WJ, Habre R, McConnell R, Yan M, Whitfield L, Li Y, Hodis HN, Breton CV, Bastain TM, Farzan SF. Perceived Stress From Childhood to Adulthood and Cardiometabolic End Points in Young Adulthood: An 18-Year Prospective Study. J Am Heart Assoc 2024; 13:e030741. [PMID: 38230530 DOI: 10.1161/jaha.123.030741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 10/27/2023] [Indexed: 01/18/2024]
Abstract
BACKGROUND We investigated how childhood-to-adulthood perceived stress patterns predict adult cardiometabolic risk. METHODS AND RESULTS This study included 276 participants from the Southern California Children's Health Study (2003-2014), and a follow-up assessment (2018-2021). Perceived stress (Perceived Stress Scale) was initially reported by participants' parents for themselves during early childhood (mean age, 6.3 years), and later self-reported during adolescence (13.3 years) and young adulthood (23.6 years). Participants were grouped into 4 stress patterns: consistently high, decreasing, increasing, and consistently low. Cardiometabolic risk was assessed in young adulthood by carotid artery intima-media thickness, systolic and diastolic blood pressure, obesity, percent body fat, android/gynoid ratio, and glycated hemoglobin. A cardiometabolic risk score was generated by summing the clinically abnormal markers. Multivariable linear and logistic regression models were used to (1) examine the associations between Perceived Stress Scale at 3 time points and adult cardiometabolic risk, and (2) assess the impact of stress pattern on adult cardiometabolic risk. Findings suggested that in adulthood, higher Perceived Stress Scale score was associated with increased overall cardiometabolic risk (β=0.12 [95% CI, 0.01-0.22]), carotid artery intima-media thickness (β=0.01 [95% CI, 0.0003-0.02]), systolic blood pressure (β=1.27 [95% CI, 0.09-2.45]), and diastolic blood pressure (β=0.94 [95% CI, 0.13-1.75]). Individuals with a consistently high adolescence-to-adulthood stress pattern had greater overall cardiometabolic risk (β=0.31 [95% CI, 0.02-0.60]), android/gynoid ratio (β=0.07 [95% CI, 0.02-0.13]), percent body fat (β=2.59 [95% CI, 0.01-5.17]), and greater odds of obesity (odds ratio, 5.57 [95% CI, 1.62-19.10]) in adulthood, compared with those with a consistently low Perceived Stress Scale score. CONCLUSIONS Consistently high perceived stress from adolescence to adulthood may contribute to greater cardiometabolic risk in young adulthood.
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Affiliation(s)
- Fangqi Guo
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - Xinci Chen
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - Steve Howland
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - Phoebe Danza
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - W James Gauderman
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - Mingzhu Yan
- Atherosclerosis Research Unit University of Southern California Los Angeles CA USA
| | - Lora Whitfield
- Atherosclerosis Research Unit University of Southern California Los Angeles CA USA
| | - Yanjie Li
- Atherosclerosis Research Unit University of Southern California Los Angeles CA USA
| | - Howard N Hodis
- Atherosclerosis Research Unit University of Southern California Los Angeles CA USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine University of Southern California Los Angeles CA USA
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11
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Hernandez-Castro I, Eckel SP, Chen X, Yang T, Vigil MJ, Foley HB, Kannan K, Robinson M, Grubbs B, Lerner D, Lurvey N, Al-Marayati L, Habre R, Dunton GF, Farzan SF, Aung MT, Breton CV, Bastain TM. Prenatal exposures to organophosphate ester metabolites and early motor development in the MADRES cohort. Environ Pollut 2024; 342:123131. [PMID: 38092343 PMCID: PMC10872268 DOI: 10.1016/j.envpol.2023.123131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 12/06/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
Organophosphate esters (OPEs) are increasingly considered neurotoxicants which may impact gross and fine motor development. We evaluated associations between prenatal OPE exposures and infant motor development. Third trimester urinary concentrations of nine OPE metabolites were measured in 329 mother-infant dyads participating in the Maternal And Developmental Risks from Environmental and Social Stressors (MADRES) cohort. Child gross and fine motor development at 6, 9, 12, and 18-months were assessed with the Ages and Stages Questionnaire-3 (ASQ-3) and operationalized in models using dichotomous instrument-specific cutoffs for typical motor development. Five OPE metabolites with >60% detection were specific-gravity-adjusted, natural log-transformed, and modeled continuously, while four metabolites with <60% detection were modeled dichotomously (detected/not-detected). We fit mixed effects logistic regression between OPE metabolites and fine/gross motor development and assessed sex-specific effects using a statistical interaction term and sex-stratified models. Among children, 31% and 23% had gross and fine motor scores, respectively, below the ASQ-3 at-risk cutoffs at least once across infancy. A doubling in prenatal diphenyl phosphate (DPHP) exposure was associated with 26% increased odds of potential fine motor delays (ORfine = 1.26, 95% CI: 1.02, 1.57, p = 0.04). We also observed significant interactions by infant sex for associations of detected dipropyl phosphate (DPRP) with gross motor development (pinteraction = 0.048) and detected bis(1-chloro-2-propyl) phosphate (BCIPP) with fine motor development (pinteraction = 0.02). Females had greater odds of potential motor delays for both detected DPRP (females vs males ORgross (95% CI) = 1.48 (0.71, 3.09), p = 0.30 vs 0.27 (0.06, 1.29), p = 0.10) and detected BCIPP (females vs males ORfine (95% CI) = 2.72 (1.27, 5.85), p = 0.01 vs 0.76 (0.31, 1.90), p = 0.56). There were no other significant associations between other metabolites and motor development, despite similar patterns. We found evidence of adverse effects of prenatal OPE exposures on infant motor development with greater adverse effects among female infants with some OPE metabolites.
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Affiliation(s)
- Ixel Hernandez-Castro
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Xinci Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mario J Vigil
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Helen B Foley
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Morgan Robinson
- Wadsworth Center, New York State Department of Health, Albany, NY, USA
| | - Brendan Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Max T Aung
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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12
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Corona K, Yang T, Dunton G, Toledo-Corral C, Grubbs B, Eckel SP, Johnston J, Chavez T, Lerner D, Lurvey N, Al-Marayati L, Habre R, Farzan SF, Breton CV, Bastain TM. The Role of Social Support and Acculturation Factors on Postpartum Mental Health Among Latinas in the MADRES Pregnancy Cohort. J Immigr Minor Health 2024; 26:72-80. [PMID: 37897652 PMCID: PMC10771371 DOI: 10.1007/s10903-023-01542-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2023] [Indexed: 10/30/2023]
Abstract
We examined the associations between social support and postpartum mental health in 137 U.S. and foreign-born Latinas in the MADRES pregnancy cohort. We also examined whether language, years in the U.S., and country of birth moderates these relationships. Participants were administered PROMIS support measures 1 month postpartum; the Perceived Stress and Postpartum Distress Measure 3, 6, and 12 months postpartum; and the CESD scale 12 months postpartum. Perceived stress was lower at 6 months postpartum for women reporting higher emotional (p = 0.01), informational (p = 0.03), and instrumental support (p < 0.001); and lower at 12 months postpartum for women reporting higher emotional support (p = 0.01). Distress at 6 months was lower in women reporting higher emotional support (p = 0.03). Interactions suggest that associations were stronger for mothers that speak Spanish, spent fewer years in the U.S., and were born in Central America.
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Affiliation(s)
- Karina Corona
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Genevieve Dunton
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Claudia Toledo-Corral
- Department of Health Sciences, California State University, Northridge, Northridge, CA, USA
| | - Brendan Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jill Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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13
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Jacobson MH, Hamra GB, Monk C, Crum RM, Upadhyaya S, Avalos LA, Bastain TM, Barrett ES, Bush NR, Dunlop AL, Ferrara A, Firestein MR, Hipwell AE, Kannan K, Lewis J, Meeker JD, Ruden DM, Starling AP, Watkins DJ, Zhao Q, Trasande L. Prenatal Exposure to Nonpersistent Environmental Chemicals and Postpartum Depression. JAMA Psychiatry 2024; 81:67-76. [PMID: 37728908 PMCID: PMC10512164 DOI: 10.1001/jamapsychiatry.2023.3542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 07/20/2023] [Indexed: 09/22/2023]
Abstract
Importance Postpartum depression (PPD) affects up to 20% of childbearing individuals, and a significant limitation in reducing its morbidity is the difficulty in modifying established risk factors. Exposure to synthetic environmental chemicals found in plastics and personal care products, such as phenols, phthalates, and parabens, are potentially modifiable and plausibly linked to PPD and have yet to be explored. Objective To evaluate associations of prenatal exposure to phenols, phthalates, parabens, and triclocarban with PPD symptoms. Design, Setting, and Participants This was a prospective cohort study from 5 US sites, conducted from 2006 to 2020, and included pooled data from 5 US birth cohorts from the National Institutes of Health Environmental Influences on Child Health Outcomes (ECHO) consortium. Participants were pregnant individuals with data on urinary chemical concentrations (phenols, phthalate metabolites, parabens, or triclocarban) from at least 1 time point in pregnancy and self-reported postnatal depression screening assessment collected between 2 weeks and 12 months after delivery. Data were analyzed from February to May 2022. Exposures Phenols (bisphenols and triclosan), phthalate metabolites, parabens, and triclocarban measured in prenatal urine samples. Main Outcomes and Measures Depression symptom scores were assessed using the Edinburgh Postnatal Depression Scale (EPDS) or the Center for Epidemiologic Studies Depression Scale (CES-D), harmonized to the Patient-Reported Measurement Information System (PROMIS) Depression scale. Measures of dichotomous PPD were created using both sensitive (EPDS scores ≥10 and CES-D scores ≥16) and specific (EPDS scores ≥13 and CES-D scores ≥20) definitions. Results Among the 2174 pregnant individuals eligible for analysis, nearly all (>99%) had detectable levels of several phthalate metabolites and parabens. PPD was assessed a mean (SD) of 3 (2.5) months after delivery, with 349 individuals (16.1%) and 170 individuals (7.8%) screening positive for PPD using the sensitive and specific definitions, respectively. Linear regression results of continuous PROMIS depression T scores showed no statistically significant associations with any chemical exposures. Models examining LMW and HMW phthalates and di (2-ethylhexyl) phthalate had estimates in the positive direction whereas all others were negative. A 1-unit increase in log-transformed LMW phthalates was associated with a 0.26-unit increase in the PROMIS depression T score (95% CI, -0.01 to 0.53; P = .06). This corresponded to an odds ratio (OR) of 1.08 (95% CI, 0.98-1.19) when modeling PPD as a dichotomous outcome and using the sensitive PPD definition. HMW phthalates were associated with increased odds of PPD (OR, 1.11; 95% CI, 1.00-1.23 and OR, 1.10; 95% CI, 0.96-1.27) for the sensitive and specific PPD definitions, respectively. Sensitivity analyses produced stronger results. Conclusions and Relevance Phthalates, ubiquitous chemicals in the environment, may be associated with PPD and could serve as important modifiable targets for preventive interventions. Future studies are needed to confirm these observations.
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Affiliation(s)
- Melanie H. Jacobson
- Department of Pediatrics, Division of Environmental Pediatrics, NYU Grossman School of Medicine, New York, New York
| | - Ghassan B. Hamra
- Johns Hopkins University, Department of Epidemiology, Baltimore, Maryland
| | - Catherine Monk
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, New York
- Department of Psychiatry, Columbia University Irving Medical Center, Division of Behavioral Medicine, New York State Psychiatric Institute, New York, New York
| | - Rosa M. Crum
- Johns Hopkins University, Department of Epidemiology, Baltimore, Maryland
| | | | - Lyndsay A. Avalos
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles
| | - Emily S. Barrett
- Rutgers School of Public Health, Environmental and Occupational Health Sciences Institute, Piscataway, New Jersey
- University of Rochester Medical Center School of Medicine and Dentistry, Rochester, New York
| | - Nicole R. Bush
- Department of Psychiatry, University of California, San Francisco
- Department of Pediatrics, University of California, San Francisco
| | - Anne L. Dunlop
- Department of Gynecology & Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Morgan R. Firestein
- Department of Psychiatry, Columbia University Irving Medical Center, Division of Behavioral Medicine, New York State Psychiatric Institute, New York, New York
| | - Alison E. Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Kurunthachalam Kannan
- Department of Pediatrics, Division of Environmental Pediatrics, NYU Grossman School of Medicine, New York, New York
| | - Johnnye Lewis
- Community Environmental Health Program, College of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque
| | - John D. Meeker
- University of Michigan, Department of Environmental Health Sciences, Ann Arbor
| | - Douglas M. Ruden
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Anne P. Starling
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, University of Colorado Anschutz Medical Campus, Aurora
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill
| | - Deborah J. Watkins
- University of Michigan, Department of Environmental Health Sciences, Ann Arbor
| | - Qi Zhao
- The University of Tennessee Health Science Center, Memphis
| | - Leonardo Trasande
- Department of Pediatrics, Division of Environmental Pediatrics, NYU Grossman School of Medicine, New York, New York
- Department of Population Health, NYU Grossman School of Medicine, New York, New York
- Division of Environmental Medicine, NYU Grossman School of Medicine, New York, New York
- NYU Wagner School of Public Service, New York, New York
- NYU College of Global Public Health, New York, New York
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14
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Oh J, Buckley JP, Li X, Gachigi KK, Kannan K, Lyu W, Ames JL, Barrett ES, Bastain TM, Breton CV, Buss C, Croen LA, Dunlop AL, Ferrara A, Ghassabian A, Herbstman JB, Hernandez-Castro I, Hertz-Picciotto I, Kahn LG, Karagas MR, Kuiper JR, McEvoy CT, Meeker JD, Morello-Frosch R, Padula AM, Romano ME, Sathyanarayana S, Schantz S, Schmidt RJ, Simhan H, Starling AP, Tylavsky FA, Volk HE, Woodruff TJ, Zhu Y, Bennett DH. Associations of Organophosphate Ester Flame Retardant Exposures during Pregnancy with Gestational Duration and Fetal Growth: The Environmental influences on Child Health Outcomes (ECHO) Program. Environ Health Perspect 2024; 132:17004. [PMID: 38262621 PMCID: PMC10805613 DOI: 10.1289/ehp13182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 12/07/2023] [Accepted: 12/13/2023] [Indexed: 01/25/2024]
Abstract
BACKGROUND Widespread exposure to organophosphate ester (OPE) flame retardants with potential reproductive toxicity raises concern regarding the impacts of gestational exposure on birth outcomes. Previous studies of prenatal OPE exposure and birth outcomes had limited sample sizes, with inconclusive results. OBJECTIVES We conducted a collaborative analysis of associations between gestational OPE exposures and adverse birth outcomes and tested whether associations were modified by sex. METHODS We included 6,646 pregnant participants from 16 cohorts in the Environmental influences on Child Health Outcomes (ECHO) Program. Nine OPE biomarkers were quantified in maternal urine samples collected primarily during the second and third trimester and modeled as log 2 -transformed continuous, categorized (high/low/nondetect), or dichotomous (detect/nondetect) variables depending on detection frequency. We used covariate-adjusted linear, logistic, and multinomial regression with generalized estimating equations, accounting for cohort-level clustering, to estimate associations of OPE biomarkers with gestational length and birth weight outcomes. Secondarily, we assessed effect modification by sex. RESULTS Three OPE biomarkers [diphenyl phosphate (DPHP), a composite of dibutyl phosphate and di-isobutyl phosphate (DBUP/DIBP), and bis(1,3-dichloro-2-propyl) phosphate] were detected in > 85 % of participants. In adjusted models, DBUP/DIBP [odds ratio (OR) per doubling = 1.07 ; 95% confidence interval (CI): 1.02, 1.12] and bis(butoxyethyl) phosphate (OR for high vs. nondetect = 1.25 ; 95% CI: 1.06, 1.46), but not other OPE biomarkers, were associated with higher odds of preterm birth. We observed effect modification by sex for associations of DPHP and high bis(2-chloroethyl) phosphate with completed gestational weeks and odds of preterm birth, with adverse associations among females. In addition, newborns of mothers with detectable bis(1-chloro-2-propyl) phosphate, bis(2-methylphenyl) phosphate, and dipropyl phosphate had higher birth weight-for-gestational-age z -scores (β for detect vs. nondetect = 0.04 - 0.07 ); other chemicals showed null associations. DISCUSSION In the largest study to date, we find gestational exposures to several OPEs are associated with earlier timing of birth, especially among female neonates, or with greater fetal growth. https://doi.org/10.1289/EHP13182.
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Affiliation(s)
- Jiwon Oh
- Department of Public Health Sciences, University of California Davis (UC-Davis), Davis, California, USA
| | - Jessie P. Buckley
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Chapel Hill, North Carolina, USA
| | - Xuan Li
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kennedy K. Gachigi
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kurunthachalam Kannan
- Wadsworth Center, Division of Environmental Health Sciences, New York State Department of Health, Albany, New York, USA
- Department of Environmental Health Sciences, University at Albany, State University of New York, Albany, New York, USA
| | - Wenjie Lyu
- Department of Pediatrics, New York University (NYU) Grossman School of Medicine, New York, New York, USA
- Department of Environmental Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Jennifer L. Ames
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Emily S. Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA
- Environmental and Occupational Health Sciences Institute, Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - Claudia Buss
- Department of Medical Psychology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, UC-Irvine School of Medicine, Orange, California, USA
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Akhgar Ghassabian
- Department of Pediatrics, New York University (NYU) Grossman School of Medicine, New York, New York, USA
- Department of Environmental Medicine, NYU Grossman School of Medicine, New York, New York, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA
| | - Julie B. Herbstman
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Ixel Hernandez-Castro
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, University of California Davis (UC-Davis), Davis, California, USA
- Medical Investigations of Neurodevelopmental Disorders Institute, UC-Davis, Sacramento, California, USA
| | - Linda G. Kahn
- Department of Pediatrics, New York University (NYU) Grossman School of Medicine, New York, New York, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, New Hampshire, USA
| | - Jordan R. Kuiper
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Cindy T. McEvoy
- Department of Pediatrics, Oregon Health & Science University, Portland, Oregon, USA
| | - John D. Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy and Management and School of Public Health, UC-Berkeley, Berkeley, California, USA
| | - Amy M. Padula
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Megan E. Romano
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, New Hampshire, USA
| | - Sheela Sathyanarayana
- Department of Pediatrics, University of Washington and Seattle Children’s Research Institute, Seattle, Washington, USA
| | - Susan Schantz
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
| | - Rebecca J. Schmidt
- Department of Public Health Sciences, University of California Davis (UC-Davis), Davis, California, USA
- Medical Investigations of Neurodevelopmental Disorders Institute, UC-Davis, Sacramento, California, USA
| | - Hyagriv Simhan
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Anne P. Starling
- Department of Epidemiology, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, North Carolina, USA
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Frances A. Tylavsky
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Heather E. Volk
- Department of Mental Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Tracey J. Woodruff
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Deborah H. Bennett
- Department of Public Health Sciences, University of California Davis (UC-Davis), Davis, California, USA
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15
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O'Sharkey K, Xu Y, Cabison J, Rosales M, Yang T, Chavez T, Johnson M, Lerner D, Lurvey N, Corral CMT, Farzan SF, Bastain TM, Breton CV, Habre R. Effects of in-utero personal exposure to PM 2.5 sources and components on birthweight. Sci Rep 2023; 13:21987. [PMID: 38081912 PMCID: PMC10713978 DOI: 10.1038/s41598-023-48920-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 12/01/2023] [Indexed: 12/18/2023] Open
Abstract
In-utero exposure to fine particulate matter (PM2.5) and specific sources and components of PM2.5 have been linked with lower birthweight. However, previous results have been mixed, likely due to heterogeneity in sources impacting PM2.5 and due to measurement error from using ambient data. Therefore, we investigated the effect of PM2.5 sources and their high-loading components on birthweight using data from 198 women in the 3rd trimester from the MADRES cohort 48-h personal PM2.5 exposure monitoring sub-study. The mass contributions of six major sources of personal PM2.5 exposure were estimated for 198 pregnant women in the 3rd trimester using the EPA Positive Matrix Factorization v5.0 model, along with their 17 high-loading chemical components using optical carbon and X-ray fluorescence approaches. Single- and multi-pollutant linear regressions evaluated the association between personal PM2.5 sources/components and birthweight, adjusting for gestational age, maternal age, race, infant sex, parity, diabetes status, temperature, maternal education, and smoking history. Participants were predominately Hispanic (81%), with a mean (SD) gestational age of 39.1 (1.5) weeks and age of 28.2 (6.0) years. Mean birthweight was 3295.8 g (484.1) and mean PM2.5 exposure was 21.3 (14.4) µg/m3. A 1 SD increase in the mass contribution of the fresh sea salt source was associated with a 99.2 g decrease in birthweight (95% CI - 197.7, - 0.6), and aged sea salt was associated with a 70.1 g decrease in birthweight (95% CI - 141.7, 1.4). Magnesium, sodium, and chlorine were associated with lower birthweight, which remained after adjusting for PM2.5 mass. This study found evidence that major sources of personal PM2.5 including fresh and aged sea salt were negatively associated with birthweight, with the strongest effect on birthweight from Na and Mg. The effect of crustal and fuel oil sources differed by infant sex with negative associations seen in boys compared to positive associations in girls.
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Affiliation(s)
- Karl O'Sharkey
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA.
| | - Yan Xu
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Jane Cabison
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Marisela Rosales
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Mark Johnson
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | | | | | - Claudia M Toledo Corral
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
- Department of Health Sciences, California State University Northridge, Northridge, CA, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
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16
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Ceasar RC, Gould E, Laughter J, Granacki J, Kirsch K, Chauca E, Santos JJ, Becerra L, Cazares L, Habre R, Farzan S, Tamatam S, Nguyen RM, Breton CV, Bastain TM. "They might take my baby away:" Black and Latina peoples' experiences of using cannabis during pregnancy in California while engaged in perinatal care. J Perinatol 2023; 43:1497-1499. [PMID: 37731045 PMCID: PMC10716035 DOI: 10.1038/s41372-023-01781-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/28/2023] [Accepted: 09/12/2023] [Indexed: 09/22/2023]
Affiliation(s)
- Rachel Carmen Ceasar
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Erin Gould
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jen Laughter
- Department of Sociology, California State University, Fullerton, Fullerton, CA, USA
| | - Jordan Granacki
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Edward Chauca
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jasmeen Joy Santos
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lizbeth Becerra
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shreya Tamatam
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ryan Mikeala Nguyen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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17
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Lewis JV, Knapp EA, Bakre S, Dickerson AS, Bastain TM, Bendixsen C, Bennett DH, Camargo CA, Cassidy-Bushrow AE, Colicino E, D'Sa V, Dabelea D, Deoni S, Dunlop AL, Elliott AJ, Farzan SF, Ferrara A, Fry RC, Hartert T, Howe CG, Kahn LG, Karagas MR, Ma TF, Koinis-Mitchell D, MacKenzie D, Maldonado LE, Merced-Nieves FM, Neiderhiser JM, Nigra AE, Niu Z, Nozadi SS, Rivera-Núñez Z, O'Connor TG, Osmundson S, Padula AM, Peterson AK, Sherris AR, Starling A, Straughen JK, Wright RJ, Zhao Q, Kress AM. Associations between area-level arsenic exposure and adverse birth outcomes: An Echo-wide cohort analysis. Environ Res 2023; 236:116772. [PMID: 37517496 PMCID: PMC10592196 DOI: 10.1016/j.envres.2023.116772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/20/2023] [Accepted: 07/27/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND Drinking water is a common source of exposure to inorganic arsenic. In the US, the Safe Drinking Water Act (SDWA) was enacted to protect consumers from exposure to contaminants, including arsenic, in public water systems (PWS). The reproductive effects of preconception and prenatal arsenic exposure in regions with low to moderate arsenic concentrations are not well understood. OBJECTIVES This study examined associations between preconception and prenatal exposure to arsenic violations in water, measured via residence in a county with an arsenic violation in a regulated PWS during pregnancy, and five birth outcomes: birth weight, gestational age at birth, preterm birth, small for gestational age (SGA), and large for gestational age (LGA). METHODS Data for arsenic violations in PWS, defined as concentrations exceeding 10 parts per billion, were obtained from the Safe Drinking Water Information System. Participants of the Environmental influences on Child Health Outcomes Cohort Study were matched to arsenic violations by time and location based on residential history data. Multivariable, mixed effects regression models were used to assess the relationship between preconception and prenatal exposure to arsenic violations in drinking water and birth outcomes. RESULTS Compared to unexposed infants, continuous exposure to arsenic from three months prior to conception through birth was associated with 88.8 g higher mean birth weight (95% CI: 8.2, 169.5), after adjusting for individual-level confounders. No statistically significant associations were observed between any preconception or prenatal violations exposure and gestational age at birth, preterm birth, SGA, or LGA. CONCLUSIONS Our study did not identify associations between preconception and prenatal arsenic exposure, defined by drinking water exceedances, and adverse birth outcomes. Exposure to arsenic violations in drinking water was associated with higher birth weight. Future studies would benefit from more precise geodata of water system service areas, direct household drinking water measurements, and exposure biomarkers.
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Affiliation(s)
- Jonathan V Lewis
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Emily A Knapp
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Shivani Bakre
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aisha S Dickerson
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Casper Bendixsen
- Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, WI, USA
| | - Deborah H Bennett
- Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Viren D'Sa
- Department of Pediatrics, Rhode Island Hospital, Providence, RI, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Denver, CO, USA
| | - Sean Deoni
- Bill and Melinda Gates Foundation, Seattle, WA, USA
| | - Anne L Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Amy J Elliott
- Avera Research Institute, Sioux Falls, SD, USA; Department of Pediatrics, University of South Dakota School of Medicine, Vermillion, SD, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Tina Hartert
- Departments of Medicine and Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Caitlin G Howe
- Dartmouth College Geisel School of Medicine, Hanover, NH, USA
| | - Linda G Kahn
- Departments of Pediatrics and Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | | | - Teng-Fei Ma
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | | | - Debra MacKenzie
- Community Environmental Health Program, University of New Mexico College of Pharmacy, Health Sciences Center, Albuquerque, NM, USA
| | - Luis E Maldonado
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Francheska M Merced-Nieves
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Anne E Nigra
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Sara S Nozadi
- Community Environmental Health Program, College of Pharmacy, Health Sciences Center, Albuquerque, NM, USA
| | - Zorimar Rivera-Núñez
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, New Brunswick, NJ, USA
| | - Thomas G O'Connor
- Departments of Psychiatry, Neuroscience, Obstetrics and Gynecology, University of Rochester, Rochester, NY, USA
| | - Sarah Osmundson
- Department of OB/GYN, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Amy M Padula
- Department of Gynecology, Obstetrics and Reproductive Sciences, University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Alicia K Peterson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Allison R Sherris
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Anne Starling
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | | | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Qi Zhao
- Department of Preventive Medicine, University of Tennessee Health Science Center College of Medicine, Memphis, TN, USA
| | - Amii M Kress
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
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18
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Malin AJ, Hu H, Martínez-Mier EA, Eckel SP, Farzan SF, Howe CG, Funk W, Meeker JD, Habre R, Bastain TM, Breton CV. Urinary fluoride levels and metal co-exposures among pregnant women in Los Angeles, California. Environ Health 2023; 22:74. [PMID: 37880740 PMCID: PMC10601173 DOI: 10.1186/s12940-023-01026-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 10/13/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Fluoride is ubiquitous in the United States (US); however, data on biomarkers and patterns of fluoride exposure among US pregnant women are scarce. We examined specific gravity adjusted maternal urinary fluoride (MUFsg) in relation to sociodemographic variables and metal co-exposures among pregnant women in Los Angeles, California. METHODS Participants were from the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) cohort. There were 293 and 490 women with MUFsg measured during first and third trimesters, respectively. An intra-class correlation coefficient examined consistency of MUFsg between trimesters. Kruskal-Wallis and Mann-Whitney U tests examined associations of MUFsg with sociodemographic variables. Covariate adjusted linear regression examined associations of MUFsg with blood metals and specific gravity adjusted urine metals among a subsample of participants within and between trimesters. A False Discovery Rate (FDR) correction accounted for multiple comparisons. RESULTS Median (IQR) MUFsg was 0.65 (0.5) mg/L and 0.8 (0.59) mg/L, during trimesters one and three respectively. During both trimesters, MUFsg was higher among older participants, those with higher income, and White, non-Hispanic participants than Hispanic participants. MUFsg was also higher for White, non-Hispanic participants than for Black, non-Hispanic participants in trimester three, and for those with graduate training in trimester one. MUFsg was negatively associated with blood mercury in trimester one and positively associated with blood lead in trimester three. MUFsg was positively associated with various urinary metals, including antimony, barium, cadmium, cobalt, copper, lead, nickel, tin, and zinc in trimesters one and/or three. CONCLUSIONS MUFsg levels observed were comparable to those found in pregnant women in Mexico and Canada that have been associated with poorer neurodevelopmental outcomes. Lower urinary fluoride levels among Hispanic and non-Hispanic Black participants in MADRES compared to non-Hispanic White participants may reflect lower tap water consumption or lower fluoride exposure from other sources. Additional research is needed to examine whether MUFsg levels observed among pregnant women in the US are associated with neurodevelopmental outcomes.
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Affiliation(s)
- Ashley J Malin
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Rd, Gainesville, 32603, USA.
| | - Howard Hu
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, 1845 N Soto Street, Los Angeles, CA, 90089-9239, USA
| | - E Angeles Martínez-Mier
- Department of Cariology, Operative Dentistry and Dental Public Health, School of Dentistry, Indiana University, 1121 W. Michigan St., Indianapolis, IN, 46202-2876, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, 1845 N Soto Street, Los Angeles, CA, 90089-9239, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, 1845 N Soto Street, Los Angeles, CA, 90089-9239, USA
| | - Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Drive, Williamson Translational Research Building, 7th Floor, Lebanon, NH, 03756, USA
| | - William Funk
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 N Lake Shore Dr Ste 1400, Chicago, IL, 60611, USA
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, 1420 Washington Hts, Ann Arbor, MI, 48109, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, 1845 N Soto Street, Los Angeles, CA, 90089-9239, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, 1845 N Soto Street, Los Angeles, CA, 90089-9239, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, 1845 N Soto Street, Los Angeles, CA, 90089-9239, USA
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O'Sharkey K, Xu Y, Cabison J, Rosales M, Chavez T, Johnson M, Yang T, Cho SH, Chartier R, Lerner D, Lurvey N, Toledo Corral CM, Cockburn M, Franklin M, Farzan SF, Bastain TM, Breton CV, Habre R. A Comparison of Measured Airborne and Self-Reported Secondhand Smoke Exposure in the MADRES Pregnancy Cohort Study. Nicotine Tob Res 2023:ntad202. [PMID: 37846518 DOI: 10.1093/ntr/ntad202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Indexed: 10/18/2023]
Abstract
INTRODUCTION Secondhand smoke (SHS) exposure during pregnancy is linked to adverse birth outcomes, such as low birth weight and preterm birth. While questionnaires are commonly used to assess SHS exposure, their ability to capture true exposure can vary, making it difficult for researchers to harmonize SHS measures. This study aimed to compare self-reported SHS exposure with measurements of airborne SHS in personal samples of pregnant women. METHODS SHS was measured on 48-hour integrated personal PM2.5 Teflon filters collected from 204 pregnant women, and self-reported SHS exposure measures were obtained via questionnaires. Descriptive statistics were calculated for airborne SHS measures, and analysis of variance tests assessed group differences in airborne SHS concentrations by self-reported SHS exposure. RESULTS Participants were 81% Hispanic, with a mean (SD) age of 28.2 (6.0) years. Geometric mean (SD) personal airborne SHS concentrations were 0.14 (9.41) µg/m3. Participants reporting lower education have significantly higher airborne SHS exposure (p=0.015). Mean airborne SHS concentrations were greater in those reporting longer duration with windows open in the home. There was no association between airborne SHS and self-reported SHS exposure; however, asking about the number of smokers nearby in the 48-hour monitoring period was most correlated with measured airborne SHS (Two+ smokers: 0.30µg/m3 vs. One: 0.12µg/m3 and Zero: 0.15µg/m3; p=0.230). CONCLUSIONS Self-reported SHS exposure was not associated with measured airborne SHS in personal PM2.5 samples. This suggests exposure misclassification using SHS questionnaires and the need for harmonized and validated questions to characterize this exposure in health studies. IMPLICATIONS This study adds to the growing body of evidence that measurement error is a major concern in pregnancy research, particularly in studies that rely on self-report questionnaires to measure secondhand smoke (SHS) exposure. The study introduces an alternative method of SHS exposure assessment using objective optical measurements, which can help improve the accuracy of exposure assessment. The findings emphasize the importance of using harmonized and validated SHS questionnaires in pregnancy health research to avoid biased effect estimates. This study can inform future research, practice, and policy development to reduce SHS exposure and its adverse health effects.
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Affiliation(s)
- Karl O'Sharkey
- Department of Epidemiology, University of California, Los Angeles, Los Angeles, CA
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Yan Xu
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA
| | - Jane Cabison
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Marisela Rosales
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Mark Johnson
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | | | - Ryan Chartier
- Research Triangle Institute, Research Triangle Park, NC
| | | | | | - Claudia M Toledo Corral
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
- Department of Health Sciences, California State University Northridge, Northridge, CA
| | - Myles Cockburn
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Meredith Franklin
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
- Department of Statistical Sciences, School of the Environment, University of Toronto, Toronto, Canada
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Rima Habre
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA
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20
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Hernandez-Castro I, Eckel SP, Howe CG, Niu Z, Kannan K, Robinson M, Foley HB, Yang T, Vigil MJ, Chen X, Grubbs B, Lerner D, Lurvey N, Al-Marayati L, Habre R, Dunton GF, Farzan SF, Aung MT, Breton CV, Bastain TM. Prenatal exposures to organophosphate ester metabolite mixtures and children's neurobehavioral outcomes in the MADRES pregnancy cohort. Environ Health 2023; 22:66. [PMID: 37737180 PMCID: PMC10515433 DOI: 10.1186/s12940-023-01017-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 09/11/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Evidence suggests organophosphate esters (OPEs) are neurotoxic; however, the epidemiological literature remains scarce. We investigated whether prenatal exposures to OPEs were associated with child neurobehavior in the MADRES cohort. METHODS We measured nine OPE metabolites in 204 maternal urine samples (gestational age at collection: 31.4 ± 1.8 weeks). Neurobehavior problems were assessed among 36-month-old children using the Child Behavior Checklist's (CBCL) three composite scales [internalizing, externalizing, and total problems]. We examined associations between tertiles of prenatal OPE metabolites (> 50% detection) and detect/non-detect categories (< 50% detection) and CBCL composite scales using linear regression and generalized additive models. We also examined mixtures for widely detected OPEs (n = 5) using Bayesian kernel machine regression. RESULTS Maternal participants with detectable versus non-detectable levels of bis(2-methylphenyl) phosphate (BMPP) had children with 42% (95% CI: 4%, 96%) higher externalizing, 45% (-2%, 114%) higher internalizing, and 35% (3%, 78%) higher total problems. Participants in the second versus first tertile of bis(butoxethyl) phosphate (BBOEP) had children with 43% (-1%, 109%) higher externalizing scores. Bis(1-chloro-2-propyl) phosphate (BCIPP) and child sex had a statistically significant interaction in internalizing (p = 0.02) and total problems (p = 0.03) models, with 120% (23%, 295%) and 57% (6%, 134%) higher scores in the third versus first BCIPP tertile among males. Among females, detectable vs non-detectable levels of prenatal BMPP were associated with 69% higher externalizing scores (5%, 170%) while the third versus first tertile of prenatal BBOEP was associated with 45% lower total problems (-68%, -6%). Although the metabolite mixture and each CBCL outcome had null associations, we observed marginal associations between di-n-butyl phosphate and di-isobutyl phosphate (DNBP + DIBP) and higher internalizing scores (0.15; 95% CrI: -0.02, 0.32), holding other metabolites at their median. CONCLUSIONS Our results generally suggest adverse and sex-specific effects of prenatal exposure to previously understudied OPEs on neurobehavioral outcomes in 36-month children, providing evidence of potential OPE neurotoxicity.
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Affiliation(s)
- Ixel Hernandez-Castro
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | - Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | | | - Morgan Robinson
- Wadsworth Center, New York State Department of Health, Albany, NY, USA
| | - Helen B Foley
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | - Mario J Vigil
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | - Xinci Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | - Brendan Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | - Max T Aung
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N. Soto Street, Los Angeles, CA, USA.
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21
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Ji N, Johnson M, Eckel SP, Gauderman WJ, Chavez TA, Berhane K, Faham D, Lurmann F, Pavlovic NR, Grubbs BH, Lerner D, Habre R, Farzan SF, Bastain TM, Breton CV. Prenatal ambient air pollution exposure and child weight trajectories from the 3rd trimester of pregnancy to 2 years of age: a cohort study. BMC Med 2023; 21:341. [PMID: 37674158 PMCID: PMC10483706 DOI: 10.1186/s12916-023-03050-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 08/25/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND Prenatal air pollution exposure may increase risk for childhood obesity. However, few studies have evaluated in utero growth measures and infant weight trajectories. This study will evaluate the associations of prenatal exposure to ambient air pollutants with weight trajectories from the 3rd trimester through age 2 years. METHODS We studied 490 pregnant women who were recruited from the Maternal and Development Risks from Environmental and Social Stressors (MADRES) cohort, which comprises a low-income, primarily Hispanic population in Los Angeles, California. Nitrogen dioxide (NO2), particulate matter < 10 µm (PM10), particulate matter < 2.5 µm (PM2.5), and ozone (O3) concentrations during pregnancy were estimated from regulatory air monitoring stations. Fetal weight was estimated from maternal ultrasound records. Infant/child weight measurements were extracted from medical records or measured during follow-up visits. Piecewise spline models were used to assess the effect of air pollutants on weight, overall growth, and growth during each period. RESULTS The mean (SD) prenatal exposure concentrations for NO2, PM2.5, PM10, and O3 were 16.4 (2.9) ppb, 12.0 (1.1) μg/m3, 28.5 (4.7) μg/m3, and 26.2 (2.9) ppb, respectively. Comparing an increase in prenatal average air pollutants from the 10th to the 90th percentile, the growth rate from the 3rd trimester to age 3 months was significantly increased (1.55% [95%CI 1.20%, 1.99%] for PM2.5 and 1.64% [95%CI 1.27%, 2.13%] for NO2), the growth rate from age 6 months to age 2 years was significantly decreased (0.90% [95%CI 0.82%, 1.00%] for NO2), and the attained weight at age 2 years was significantly lower (- 7.50% [95% CI - 13.57%, - 1.02%] for PM10 and - 7.00% [95% CI - 11.86%, - 1.88%] for NO2). CONCLUSIONS Prenatal ambient air pollution was associated with variable changes in growth rate and attained weight from the 3rd trimester to age 2 years. These results suggest continued public health benefits of reducing ambient air pollution levels, particularly in marginalized populations.
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Affiliation(s)
- Nan Ji
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | | | - Sandrah P Eckel
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - William J Gauderman
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Thomas A Chavez
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Kiros Berhane
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Dema Faham
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Fred Lurmann
- Sonoma Technology Inc., Petaluma, CA, 94954, USA
| | | | - Brendan H Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
| | | | - Rima Habre
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Shohreh F Farzan
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Theresa M Bastain
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA
| | - Carrie V Breton
- Division of Environmental Health, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, MC 9239, Los Angeles, CA, 90039, USA.
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22
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Niu Z, Habre R, Yang T, Grubbs BH, Eckel SP, Toledo-Corral CM, Johnston J, Dunton GF, Lurvey N, Al-Marayati L, Lurmann F, Pavlovic N, Bastain TM, Breton CV, Farzan SF. Preconceptional and prenatal exposure to air pollutants and risk of gestational diabetes in the MADRES prospective pregnancy cohort study. Lancet Reg Health Am 2023; 25:100575. [PMID: 37727593 PMCID: PMC10505827 DOI: 10.1016/j.lana.2023.100575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 07/28/2023] [Accepted: 07/31/2023] [Indexed: 09/21/2023]
Abstract
Background Air pollution has been associated with gestational diabetes mellitus (GDM). We aim to investigate susceptible windows of air pollution exposure and factors determining population vulnerability. Methods We ascertained GDM status in the prospective Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) pregnancy cohort from Los Angeles, California, USA. We calculated the relative risk of GDM by exposure to ambient particulate matter (PM10; PM2.5), nitrogen dioxide (NO2), and ozone (O3) in each week from 12 weeks before to 24 weeks after conception, adjusting for potential confounders, with distributed lag models to identify susceptible exposure windows. We examined effect modification by prenatal depression, median-split pre-pregnancy BMI (ppBMI) and age. Findings Sixty (9.7%) participants were diagnosed with GDM among 617 participants (mean age: 28.2 years, SD: 5.9; 78.6% Hispanic, 11.8% non-Hispanic Black). GDM risk increased with exposure to PM2.5, PM10, and NO2 in a periconceptional window ranging from 5 weeks before to 5 weeks after conception: interquartile-range increases in PM2.5, PM10, and NO2 during this window were associated with increased GDM risk by 5.7% (95% CI: 4.6-6.8), 8.9% (8.1-9.6), and 15.0% (13.9-16.2), respectively. These sensitive windows generally widened, with greater effects, among those with prenatal depression, with age ≥28 years, or with ppBMI ≥27.5 kg/m2, than their counterparts. Interpretation Preconception and early-pregnancy are susceptible windows of air pollutants exposure that increased GDM risk. Prenatal depression, higher age, or higher ppBMI may increase one's vulnerability to air pollution-associated GDM risk. Funding National Institutes of Health, Environmental Protection Agency.
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Affiliation(s)
- Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brendan H. Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Claudia M. Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Health Sciences, California State University, Northridge, Northridge, CA, USA
| | - Jill Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Genevieve F. Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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23
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Knapp EA, Kress AM, Parker CB, Page GP, McArthur K, Gachigi KK, Alshawabkeh AN, Aschner JL, Bastain TM, Breton CV, Bendixsen CG, Brennan PA, Bush NR, Buss C, Camargo, Jr. CA, Catellier D, Cordero JF, Croen L, Dabelea D, Deoni S, D’Sa V, Duarte CS, Dunlop AL, Elliott AJ, Farzan SF, Ferrara A, Ganiban JM, Gern JE, Giardino AP, Towe-Goodman NR, Gold DR, Habre R, Hamra GB, Hartert T, Herbstman JB, Hertz-Picciotto I, Hipwell AE, Karagas MR, Karr CJ, Keenan K, Kerver JM, Koinis-Mitchell D, Lau B, Lester BM, Leve LD, Leventhal B, LeWinn KZ, Lewis J, Litonjua AA, Lyall K, Madan JC, McEvoy CT, McGrath M, Meeker JD, Miller RL, Morello-Frosch R, Neiderhiser JM, O’Connor TG, Oken E, O’Shea M, Paneth N, Porucznik CA, Sathyanarayana S, Schantz SL, Spindel ER, Stanford JB, Stroustrup A, Teitelbaum SL, Trasande L, Volk H, Wadhwa PD, Weiss ST, Woodruff TJ, Wright RJ, Zhao Q, Jacobson LP, Influences on Child Health Outcomes ,OBOPCFE. The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort. Am J Epidemiol 2023; 192:1249-1263. [PMID: 36963379 PMCID: PMC10403303 DOI: 10.1093/aje/kwad071] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/17/2023] [Accepted: 03/23/2023] [Indexed: 03/26/2023] Open
Abstract
The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort Study (EWC), a collaborative research design comprising 69 cohorts in 31 consortia, was funded by the National Institutes of Health (NIH) in 2016 to improve children's health in the United States. The EWC harmonizes extant data and collects new data using a standardized protocol, the ECHO-Wide Cohort Data Collection Protocol (EWCP). EWCP visits occur at least once per life stage, but the frequency and timing of the visits vary across cohorts. As of March 4, 2022, the EWC cohorts contributed data from 60,553 children and consented 29,622 children for new EWCP data and biospecimen collection. The median (interquartile range) age of EWCP-enrolled children was 7.5 years (3.7-11.1). Surveys, interviews, standardized examinations, laboratory analyses, and medical record abstraction are used to obtain information in 5 main outcome areas: pre-, peri-, and postnatal outcomes; neurodevelopment; obesity; airways; and positive health. Exposures include factors at the level of place (e.g., air pollution, neighborhood socioeconomic status), family (e.g., parental mental health), and individuals (e.g., diet, genomics).
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Affiliation(s)
- Emily A Knapp
- Correspondence to Dr. Emily Knapp, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 700 E. Pratt Street, Suite 1000, Baltimore, Maryland 21202 (e-mail: )
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24
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LeWinn KZ, Trasande L, Law A, Blackwell CK, Bekelman TA, Arizaga JA, Sullivan AA, Bastain TM, Breton CV, Karagas MR, Elliott AJ, Karr CJ, Carroll KN, Dunlop AL, Croen LA, Margolis AE, Alshawabkeh AN, Cordero JF, Singh AM, Seroogy CM, Jackson DJ, Wood RA, Hartert TV, Kim YS, Duarte CS, Schweitzer JB, Lester BM, McEvoy CT, O’Connor TG, Oken E, Bornkamp N, Brown ED, Porucznik CA, Ferrara A, Camargo CA, Zhao Q, Ganiban JM, Jacobson LP. Sociodemographic Differences in COVID-19 Pandemic Experiences Among Families in the United States. JAMA Netw Open 2023; 6:e2330495. [PMID: 37610749 PMCID: PMC10448300 DOI: 10.1001/jamanetworkopen.2023.30495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 07/17/2023] [Indexed: 08/24/2023] Open
Abstract
Importance Few population-based studies in the US collected individual-level data from families during the COVID-19 pandemic. Objective To examine differences in COVID-19 pandemic-related experiences in a large sociodemographically diverse sample of children and caregivers. Design, Setting, and Participants The Environmental influences on Child Health Outcomes (ECHO) multi-cohort consortium is an ongoing study that brings together 64 individual cohorts with participants (24 757 children and 31 700 caregivers in this study) in all 50 US states and Puerto Rico. Participants who completed the ECHO COVID-19 survey between April 2020 and March 2022 were included in this cross-sectional analysis. Data were analyzed from July 2021 to September 2022. Main Outcomes and Measures Exposures of interest were caregiver education level, child life stage (infant, preschool, middle childhood, and adolescent), and urban or rural (population <50 000) residence. Dependent variables included COVID-19 infection status and testing; disruptions to school, child care, and health care; financial hardships; and remote work. Outcomes were examined separately in logistic regression models mutually adjusted for exposures of interest and race, ethnicity, US Census division, sex, and survey administration date. Results Analyses included 14 646 children (mean [SD] age, 7.1 [4.4] years; 7120 [49%] female) and 13 644 caregivers (mean [SD] age, 37.6 [7.2] years; 13 381 [98%] female). Caregivers were racially (3% Asian; 16% Black; 12% multiple race; 63% White) and ethnically (19% Hispanic) diverse and comparable with the US population. Less than high school education (vs master's degree or more) was associated with more challenges accessing COVID-19 tests (adjusted odds ratio [aOR], 1.88; 95% CI, 1.06-1.58), lower odds of working remotely (aOR, 0.04; 95% CI, 0.03-0.07), and more food access concerns (aOR, 4.14; 95% CI, 3.20-5.36). Compared with other age groups, young children (age 1 to 5 years) were least likely to receive support from schools during school closures, and their caregivers were most likely to have challenges arranging childcare and concerns about work impacts. Rural caregivers were less likely to rank health concerns (aOR, 0.77; 95% CI, 0.69-0.86) and social distancing (aOR, 0.82; 95% CI, 0.73-0.91) as top stressors compared with urban caregivers. Conclusions Findings in this cohort study of US families highlighted pandemic-related burdens faced by families with lower socioeconomic status and young children. Populations more vulnerable to public health crises should be prioritized in recovery efforts and future planning.
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Affiliation(s)
- Kaja Z. LeWinn
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, New York
- Department of Population Health, New York University Grossman School of Medicine, New York
| | - Andrew Law
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Traci A. Bekelman
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity & Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Jessica A. Arizaga
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Alexis A. Sullivan
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Margaret R. Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, New Hampshire
| | | | | | - Kecia N. Carroll
- Jack and Lucy Clark Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Anne L. Dunlop
- Department of Gynecology & Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | | | - Amy E. Margolis
- Columbia University Irving Medical Center, New York State Psychiatric Institute, New York
| | | | - Jose F. Cordero
- Department of Epidemiology & Biostatistics, College of Public Health, University of Georgia, Athens
| | - Anne Marie Singh
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Christine M. Seroogy
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Daniel J. Jackson
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Robert A. Wood
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Tina V. Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Young Shin Kim
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Cristiane S. Duarte
- Columbia University Irving Medical Center, New York State Psychiatric Institute, New York
| | - Julie B. Schweitzer
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
- The MIND Institute, University of California, Davis, Sacramento
| | - Barry M. Lester
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women & Infants Hospital, Providence, Rhode Island
| | - Cynthia T. McEvoy
- Department of Pediatrics, Oregon Health and Science University School of Medicine, Portland
| | - Thomas G. O’Connor
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York
| | - Emily Oken
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Nicole Bornkamp
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Eric D. Brown
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Christina A. Porucznik
- Department of Family & Preventive Medicine, University of Utah School of Medicine, Salt Lake City
| | | | | | - Qi Zhao
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis
| | - Jody M. Ganiban
- Department of Psychological & Brain Sciences, Columbian College of Arts & Sciences, George Washington University, Washington, DC
| | - Lisa P. Jacobson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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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. Int J Environ Res 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] [What about the content of this article? (0)] [Affiliation(s)] [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.
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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
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Bekelman TA, Trasande L, Law A, Blackwell CK, Jacobson LP, Bastain TM, Breton CV, Elliott AJ, Ferrara A, Karagas MR, Aschner JL, Bornkamp N, Camargo CA, Comstock SS, Dunlop AL, Ganiban JM, Gern JE, Karr CJ, Kelly RS, Lyall K, O’Shea TM, Schweitzer JB, LeWinn KZ. Opportunities for understanding the COVID-19 pandemic and child health in the United States: the Environmental influences on Child Health Outcomes (ECHO) program. Front Pediatr 2023; 11:1171214. [PMID: 37397146 PMCID: PMC10308998 DOI: 10.3389/fped.2023.1171214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 05/30/2023] [Indexed: 07/04/2023] Open
Abstract
Objective Ongoing pediatric cohort studies offer opportunities to investigate the impact of the COVID-19 pandemic on children's health. With well-characterized data from tens of thousands of US children, the Environmental influences on Child Health Outcomes (ECHO) Program offers such an opportunity. Methods ECHO enrolled children and their caregivers from community- and clinic-based pediatric cohort studies. Extant data from each of the cohorts were pooled and harmonized. In 2019, cohorts began collecting data under a common protocol, and data collection is ongoing with a focus on early life environmental exposures and five child health domains: birth outcomes, neurodevelopment, obesity, respiratory, and positive health. In April of 2020, ECHO began collecting a questionnaire designed to assess COVID-19 infection and the pandemic's impact on families. We describe and summarize the characteristics of children who participated in the ECHO Program during the COVID-19 pandemic and novel opportunities for scientific advancement. Results This sample (n = 13,725) was diverse by child age (31% early childhood, 41% middle childhood, and 16% adolescence up to age 21), sex (49% female), race (64% White, 15% Black, 3% Asian, 2% American Indian or Alaska Native, <1% Native Hawaiian or Pacific Islander, 10% Multiple race and 2% Other race), Hispanic ethnicity (22% Hispanic), and were similarly distributed across the four United States Census regions and Puerto Rico. Conclusion ECHO data collected during the pandemic can be used to conduct solution-oriented research to inform the development of programs and policies to support child health during the pandemic and in the post-pandemic era.
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Affiliation(s)
- Traci A. Bekelman
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Leonardo Trasande
- Department of Pediatrics, Department of Environmental Medicine, New York University Grossman School of Medicine, New York, NY, United States
| | - Andrew Law
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Courtney K. Blackwell
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Lisa P. Jacobson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Amy J. Elliott
- Avera Research Institute, Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls, SD, United States
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Judy L. Aschner
- Departments of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ, United States
| | - Nicole Bornkamp
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Sarah S. Comstock
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, United States
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Jody M. Ganiban
- Department of Psychological and Behavioral Sciences, The George Washington University, Washington, DC, United States
| | - James E. Gern
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Catherine J. Karr
- Departments of Pediatrics & Occupational and Environmental Health Sciences, University of Washington, Seattle, WA, United States
| | - Rachel S. Kelly
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
| | - Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States
| | - T. Michael O’Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, United States
| | - Julie B. Schweitzer
- Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Sacramento, CA, United States
| | - Kaja Z. LeWinn
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States
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27
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O'Sharkey K, Xu Y, Cabison J, Rosales M, Yang T, Chavez T, Johnson M, Lerner D, Lurvey N, Toledo Corral CM, Farzan SF, Bastain TM, Breton CV, Habre R. Effects of In-Utero Personal Exposure to PM2.5 Sources and Components on Birthweight. Res Sq 2023:rs.3.rs-3026552. [PMID: 37333108 PMCID: PMC10274950 DOI: 10.21203/rs.3.rs-3026552/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Background In-utero exposure to fine particulate matter (PM2.5) and specific sources and components of PM2.5 have been linked with lower birthweight. However, previous results have been mixed, likely due to heterogeneity in sources impacting PM2.5 and due to measurement error from using ambient data. Therefore, we investigated the effect of PM2.5 sources and their high-loading components on birthweight using data from 198 women in the 3rd trimester from the MADRES cohort 48-hour personal PM2.5 exposure monitoring sub-study. Methods The mass contributions of six major sources of personal PM2.5 exposure were estimated for 198 pregnant women in the 3rd trimester using the EPA Positive Matrix Factorization v5.0 model, along with their 17 high-loading chemical components using optical carbon and X-ray fluorescence approaches. Single- and multi-pollutant linear regressions were used to evaluate the association between personal PM2.5 sources and birthweight. Additionally, high-loading components were evaluated with birthweight individually and in models further adjusted for PM2.5 mass. Results Participants were predominately Hispanic (81%), with a mean (SD) gestational age of 39.1 (1.5) weeks and age of 28.2 (6.0) years. Mean birthweight was 3,295.8g (484.1) and mean PM2.5 exposure was 21.3 (14.4) μg/m3. A 1 SD increase in the mass contribution of the fresh sea salt source was associated with a 99.2g decrease in birthweight (95% CI: -197.7, -0.6), while aged sea salt was associated with lower birthweight (β =-70.1; 95% CI: -141.7, 1.4). Magnesium sodium, and chlorine were associated with lower birthweight, which remained after adjusting for PM2.5 mass. Conclusions This study found evidence that major sources of personal PM2.5 including fresh and aged sea salt were negatively associated with birthweight, with the strongest effect on birthweight from Na and Mg. The effect of crustal and fuel oil sources differed by infant sex with negative associations seen in boys compared to positive associations in girls.
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Affiliation(s)
| | - Yan Xu
- University of Southern California
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28
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Hernandez-Castro I, Eckel SP, Howe CG, Niu Z, Kannan K, Robinson M, Foley HB, Grubbs B, Al-Marayati L, Lerner D, Lurvey N, Aung MT, Habre R, Dunton GF, Farzan SF, Breton CV, Bastain TM. Sex-specific effects of prenatal organophosphate ester (OPE) metabolite mixtures and adverse infant birth outcomes in the maternal and developmental risks from environmental and social stressors (MADRES) pregnancy cohort. Environ Res 2023; 226:115703. [PMID: 36934865 PMCID: PMC10101931 DOI: 10.1016/j.envres.2023.115703] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/13/2023] [Accepted: 03/15/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Organophosphate esters (OPEs) are used as flame retardants and plasticizers in various consumer products. Limited prior research suggests sex-specific effects of prenatal OPE exposures on fetal development. We evaluated overall and sex-specific associations between prenatal OPE exposures and gestational age (GA) at birth and birthweight for gestational age (BW for GA) z-scores among the predominately low-income, Hispanic MADRES cohort. METHODS Nine OPE metabolite concentrations were measured in 421 maternal urine samples collected during a third trimester visit (GA = 31.5 ± 2.0 weeks). We examined associations between single urinary OPE metabolites and GA at birth and BW for GA z-scores using linear regression models and Generalized Additive Models (GAMs) and effects from OPE mixtures using Bayesian Kernel Machine Regression (BKMR). We also assessed sex-specific differences in single metabolite analyses by evaluating statistical interactions and stratifying by sex. RESULTS We did not find significant associations between individual OPE metabolites and birth outcomes in the full infant sample; however, we found that higher bis(1,3-dichloro-2-propyl) phosphate (BDCIPP) was associated with earlier GA at birth among male infants (p = 0.04), and a nonlinear, inverted U-shape association between the sum of dibutyl phosphate and di-isobutyl phosphate (DNBP + DIBP) and GA at birth among female infants (p = 0.03). In mixtures analysis, higher OPE metabolite mixture exposures was associated with lower GA at birth, which was primarily driven by female infants. No associations were observed between OPE mixtures and BW for GA z-scores. CONCLUSION Higher BDCIPP and DNBP + DIBP concentrations were associated with earlier GA at birth among male and female infants, respectively. Higher exposure to OPE mixtures was associated with earlier GA at birth, particularly among female infants. However, we saw no associations between prenatal OPEs and BW for GA. Our results suggest sex-specific impacts of prenatal OPE exposures on GA at birth.
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Affiliation(s)
- Ixel Hernandez-Castro
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, New Hampshire, USA
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Morgan Robinson
- Wadsworth Center, New York State Department of Health, Albany, NY, USA
| | - Helen B Foley
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brendan Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Max T Aung
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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29
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Oken E, Bastain TM, Bornkamp N, Breton CV, Fry RC, Gold DR, Hivert MF, Howland S, Jackson DJ, Johnson CC, Jones K, Killingbeck M, O’Shea TM, Ortega M, Ownby D, Perera F, Rollins JV, Herbstman JB. When a birth cohort grows up: challenges and opportunities in longitudinal developmental origins of health and disease (DOHaD) research. J Dev Orig Health Dis 2023; 14:175-181. [PMID: 36408681 PMCID: PMC9998333 DOI: 10.1017/s2040174422000629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
High-quality evidence from prospective longitudinal studies in humans is essential to testing hypotheses related to the developmental origins of health and disease. In this paper, the authors draw upon their own experiences leading birth cohorts with longitudinal follow-up into adulthood to describe specific challenges and lessons learned. Challenges are substantial and grow over time. Long-term funding is essential for study operations and critical to retaining study staff, who develop relationships with participants and hold important institutional knowledge and technical skill sets. To maintain contact, we recommend that cohorts apply multiple strategies for tracking and obtain as much high-quality contact information as possible before the child's 18th birthday. To maximize engagement, we suggest that cohorts offer flexibility in visit timing, length, location, frequency, and type. Data collection may entail multiple modalities, even at a single collection timepoint, including measures that are self-reported, research-measured, and administrative with a mix of remote and in-person collection. Many topics highly relevant for adolescent and young adult health and well-being are considered to be private in nature, and their assessment requires sensitivity. To motivate ongoing participation, cohorts must work to understand participant barriers and motivators, share scientific findings, and provide appropriate compensation for participation. It is essential for cohorts to strive for broad representation including individuals from higher risk populations, not only among the participants but also the staff. Successful longitudinal follow-up of a study population ultimately requires flexibility, adaptability, appropriate incentives, and opportunities for feedback from participants.
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Affiliation(s)
- Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Nicole Bornkamp
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, NC, USA
| | - Diane R. Gold
- Brigham and Women’s Hospital, Department of Medicine, Channing Division of Network Medicine; Environmental Health Department, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Steve Howland
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Daniel J. Jackson
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | | | - Kyra Jones
- Department of Public Health Sciences, Henry Ford Health, Detroit, MI, USA
| | - MollyAn Killingbeck
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - T. Michael O’Shea
- Department of Pediatrics, UNC-Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Marleny Ortega
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Dennis Ownby
- Division of Allergy and Immunology, Augusta University, Augusta, GA, USA
| | - Frederica Perera
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Julie V. Rollins
- Department of Pediatrics, UNC-Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Julie B. Herbstman
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
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30
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McKee KS, Tang X, Tung I, Wu G, Alshawabkeh AN, Arizaga JA, Bastain TM, Brennan PA, Breton CV, Camargo CA, Cioffi CC, Cordero JF, Dabelea D, Deutsch AR, Duarte CS, Dunlop AL, Elliott AJ, Ferrara A, Karagas MR, Lester B, McEvoy CT, Meeker J, Neiderhiser JM, Herbstman J, Trasande L, O'Connor TG, Hipwell AE, Comstock SS. Perinatal Outcomes during versus Prior to the COVID-19 Pandemic and the Role of Maternal Depression and Perceived Stress: A Report from the ECHO Program. Am J Perinatol 2023. [PMID: 36781160 DOI: 10.1055/a-2033-5610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
OBJECTIVE We sought to evaluate the impact of the coronavirus disease 2019 (COVID-19) pandemic on perinatal outcomes while accounting for maternal depression or perceived stress and to describe COVID-specific stressors, including changes in prenatal care, across specific time periods of the pandemic. STUDY DESIGN Data of dyads from 41 cohorts from the National Institutes of Health Environmental influences on Child Health Outcomes Program (N = 2,983) were used to compare birth outcomes before and during the pandemic (n = 2,355), and a partially overlapping sample (n = 1,490) responded to a COVID-19 questionnaire. Psychosocial stress was defined using prenatal screening for depression and perceived stress. Propensity-score matching and general estimating equations with robust variance estimation were used to estimate the pandemic's effect on birth outcomes. RESULTS Symptoms of depression and perceived stress during pregnancy were similar prior to and during the pandemic, with nearly 40% of participants reporting mild to severe stress, and 24% reporting mild depression to severe depression. Gestations were shorter during the pandemic (B = - 0.33 weeks, p = 0.025), and depression was significantly associated with shortened gestation (B = - 0.02 weeks, p = 0.015) after adjustment. Birth weights were similar (B = - 28.14 g, p = 0.568), but infants born during the pandemic had slightly larger birth weights for gestational age at delivery than those born before the pandemic (B = 0.15 z-score units, p = 0.041). More women who gave birth early in the pandemic reported being moderately or extremely distressed about changes to their prenatal care and delivery (45%) compared with those who delivered later in the pandemic. A majority (72%) reported somewhat to extremely negative views of the impact of COVID-19 on their life. CONCLUSION In this national cohort, we detected no effect of COVID-19 on prenatal depression or perceived stress. However, experiencing the COVID-19 pandemic in pregnancy was associated with decreases in gestational age at birth, as well as distress about changes in prenatal care early in the pandemic. KEY POINTS · COVID-19 was associated with shortened gestations.. · Depression was associated with shortened gestations.. · However, stress during the pandemic remained unchanged.. · Most women reported negative impacts of the pandemic..
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Affiliation(s)
- Kimberly S McKee
- Department of Family Medicine, University of Michigan, Ann Arbor, Michigan
| | - Xiaodan Tang
- Department of Medical Social Sciences, Northwestern University, Chicago, Illinois
| | - Irene Tung
- Department of Psychology, California State University Dominguez Hills, Carson, California
| | - Guojing Wu
- Department of Epidemology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Akram N Alshawabkeh
- Department of Civil and Environmental Engineering, College of Engineering, Northeastern University, Boston, Massachusetts
| | - Jessica A Arizaga
- Department of Psychiatry and Behavioral Sciences, University of California-San Francisco, San Francisco, California
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | | | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Camille C Cioffi
- Prevention Science Institute, University of Oregon, Eugene, Oregon
| | - Jose F Cordero
- Department of Epidemiology and Biostatistics, College of Public Health, Athens, Georgia
| | - Dana Dabelea
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Arielle R Deutsch
- Department of Pediatrics, Avera Research Institute, University of South Dakota School of Medicine, Sioux Falls, South Dakota
| | | | - Anne L Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Amy J Elliott
- Department of Pediatrics, Avera Research Institute, University of South Dakota School of Medicine, Sioux Falls, South Dakota
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Lebanon, New Hampshire
| | - Barry Lester
- Center for the Study of Children at Risk, Brown University, Providence, Rhode Island
| | - Cindy T McEvoy
- Department of Pediatrics, MCR Oregon Health and Science University, Portland, Oregon
| | - John Meeker
- University of Michigan, Environmental Health Sciences, Global Public Health, Ann Arbor, Michigan
| | - Jenae M Neiderhiser
- Department of Psychology, Pennsylvania State University, University Park, Pennsylvania
| | - Julie Herbstman
- Columbia Mailman School of Public Health, Environmental Health Sciences, New York, New York
| | - Leonardo Trasande
- Department of Pediatrics, New York University, New York
- Department of Environmental Medicine, and Population Health, New York University Grossman School of Medicine and New York University School of Global Public Health, New York University, New York
| | - Thomas G O'Connor
- Departments of Psychiatry, Psychology, Neuroscience, and Obstetrics and Gynecology, University of Rochester, Rochester, New York
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Sarah S Comstock
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, Michigan
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Moog NK, Cummings PD, Jackson KL, Aschner JL, Barrett ES, Bastain TM, Blackwell CK, Bosquet Enlow M, Breton CV, Bush NR, Deoni SCL, Duarte CS, Ferrara A, Grant TL, Hipwell AE, Jones K, Leve LD, Lovinsky-Desir S, Miller RK, Monk C, Oken E, Posner J, Schmidt RJ, Wright RJ, Entringer S, Simhan HN, Wadhwa PD, O'Connor TG, Musci RJ, Buss C. Intergenerational transmission of the effects of maternal exposure to childhood maltreatment in the USA: a retrospective cohort study. Lancet Public Health 2023; 8:e226-e237. [PMID: 36841563 PMCID: PMC9982823 DOI: 10.1016/s2468-2667(23)00025-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 01/12/2023] [Accepted: 01/16/2023] [Indexed: 02/25/2023]
Abstract
BACKGROUND Childhood maltreatment is associated with adverse health outcomes and this risk can be transmitted to the next generation. We aimed to investigate the association between exposure to maternal childhood maltreatment and common childhood physical and mental health problems, neurodevelopmental disorders, and related comorbidity patterns in offspring. METHODS We conducted a retrospective cohort study using data from the Environmental influences on Child Health Outcomes (ECHO) Program, which was launched to investigate the influence of early life exposures on child health and development in 69 cohorts across the USA. Eligible mother-child dyads were those with available data on maternal childhood maltreatment exposure and at least one child health outcome measure (autism spectrum disorder, attention-deficit hyperactivity disorder [ADHD], internalising problems, obesity, allergy, and asthma diagnoses). Maternal history of childhood maltreatment was obtained retrospectively from the Adverse Childhood Experiences or Life Stressor Checklist questionnaires. We derived the prevalence of the specified child health outcome measures in offspring across childhood and adolescence by harmonising caregiver reports and other relevant sources (such as medical records) across cohorts. Child internalising symptoms were assessed using the Child Behavior Checklist. Associations between maternal childhood maltreatment and childhood health outcomes were measured using a series of mixed-effects logistic regression models. Covariates included child sex (male or female), race, and ethnicity; maternal and paternal age; maternal education; combined annual household income; maternal diagnosis of depression, asthma, ADHD, allergy, or autism spectrum disorder; and maternal obesity. Two latent class analyses were conducted: to characterise patterns of comorbidity of child health outcomes; and to characterise patterns of co-occurrence of childhood maltreatment subtypes. We then investigated the association between latent class membership and maternal childhood maltreatment and child health outcomes, respectively. FINDINGS Our sample included 4337 mother-child dyads from 21 longitudinal cohorts (with data collection initiated between 1999 and 2016). Of 3954 mothers in the study, 1742 (44%) had experienced exposure to abuse or neglect during their childhood. After adjustment for confounding, mothers who experienced childhood maltreatment were more likely to have children with internalising problems in the clinical range (odds ratio [OR] 2·70 [95% CI 1·95-3·72], p<0·0001), autism spectrum disorder (1·70 [1·13-2·55], p=0·01), ADHD (2·09 [1·63-2·67], p<0·0001), and asthma (1·54 [1·34-1·77], p<0·0001). In female offspring, maternal childhood maltreatment was associated with a higher prevalence of obesity (1·69 [1·17-2·44], p=0·005). Children of mothers exposed to childhood maltreatment were more likely to exhibit a diagnostic pattern characterised by higher risk for multimorbidity. Exposure to multiple forms of maltreatment across all subtypes of maternal childhood maltreatment was associated with the highest risk increases for most offspring health outcomes, suggesting a dose-response relationship. INTERPRETATION Our findings suggest that maternal childhood maltreatment experiences can be a risk factor for disease susceptibility in offspring across a variety of outcomes and emphasise the need for policies focusing on breaking the intergenerational transmission of adversity. FUNDING Environmental influences on Child Health Outcomes Program, Office of the Director, National Institutes of Health.
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Affiliation(s)
- Nora K Moog
- Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Peter D Cummings
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Kathryn L Jackson
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Judy L Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ, USA; Albert Einstein College of Medicine, Bronx, NY, USA
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Environmental and Occupational Health Sciences Institute, Piscataway, NJ, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Courtney K Blackwell
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Michelle Bosquet Enlow
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Carrie V Breton
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences and Department of Pediatrics, Division of Developmental Medicine, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Sean C L Deoni
- Advanced Baby Imaging Lab, School of Engineering, Brown University, Providence, RI, USA
| | - Cristiane S Duarte
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University, New York, NY, USA
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Torie L Grant
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alison E Hipwell
- Department of Psychiatry and Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathryn Jones
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
| | - Leslie D Leve
- Prevention Science Institute, University of Oregon, Eugene, OR, USA
| | - Stephanie Lovinsky-Desir
- Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Richard K Miller
- Department of Obstetrics and Gynecology, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA; Department of Pediatrics, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA
| | - Catherine Monk
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University, New York, NY, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
| | - Jonathan Posner
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences and the MIND Institute, School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Rosalind J Wright
- Department of Pediatrics, Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sonja Entringer
- Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Department of Pediatrics, School of Medicine, University of California, Irvine, Orange, CA, USA
| | - Hyagriv N Simhan
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Magee Women's Hospital, University of Pittsburgh, Pittsburgh, PA, USA
| | - Pathik D Wadhwa
- Department of Pediatrics, School of Medicine, University of California, Irvine, Orange, CA, USA; Department of Psychiatry and Human Behavior, University of California, Irvine, Orange, CA, USA; Department of Epidemiology, University of California, Irvine, Orange, CA, USA
| | - Thomas G O'Connor
- Department of Obstetrics and Gynecology, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA; Department of Pediatrics, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA; Department of Psychiatry, Psychology, and Neuroscience, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA
| | - Rashelle J Musci
- Department of Mental Health, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Claudia Buss
- Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Department of Pediatrics, School of Medicine, University of California, Irvine, Orange, CA, USA.
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Foley HB, Howe CG, Eckel SP, Chavez T, Gevorkian L, Reyes EG, Kapanke B, Martinez D, Xue S, Suglia SF, Bastain TM, Marsit C, Breton CV. Depression, perceived stress, and distress during pregnancy and EV-associated miRNA profiles in MADRES. J Affect Disord 2023; 323:799-808. [PMID: 36563790 PMCID: PMC9844263 DOI: 10.1016/j.jad.2022.12.039] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 11/17/2022] [Accepted: 12/10/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND MicroRNA (miRNA) circulating in plasma has been proposed as biomarkers for a variety of diseases and stress measures, including depression, stress, and trauma. However, few studies have examined the relationship between stress and miRNA during pregnancy. METHODS In this study, we examined associations between measures of stress and depression during pregnancy with miRNA in early and late pregnancy from the MADRES cohort of primarily low-income Hispanic women based in Los Angeles, California. Extracellular-vesicle- (EV-) associated miRNA were isolated from maternal plasma and quantified using the Nanostring nCounter platform. Correlations for stress-associated miRNA were also calculated for 89 matching cord blood samples. RESULTS Fifty miRNA were nominally associated with depression, perceived stress, and prenatal distress (raw p < 0.05) with 17 miRNA shared between two or more stress measures. Two miRNA (miR-150-5p and miR-148b-3p) remained marginally significant after FDR adjustment (p < 0.10). Fifteen PANTHER pathways were enriched for predicted gene targets of the 50 miRNA associated with stress. Clusters of maternal and neonate miRNA expression suggest a link between maternal and child profiles. LIMITATIONS The study evaluated 142 miRNA and was not an exhaustive analysis of all discovered miRNA. Evaluations for stress, depression and trauma were based on self-reported instruments, rather than diagnostic tools. CONCLUSIONS Depression and stress during pregnancy are associated with some circulating EV miRNA. Given that EV miRNA play important roles in maternal-fetal communication, this may have downstream consequences for maternal and child health, and underscore the importance of addressing mental health during pregnancy, especially in health disparities populations.
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Affiliation(s)
- Helen Bermudez Foley
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
| | - Caitlin G Howe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America; Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States of America
| | - Sandrah P Eckel
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Thomas Chavez
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Lili Gevorkian
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America; Interface Team, Fulgent Genetics, Inc., Temple City, CA, United States of America
| | - Eileen Granada Reyes
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Bethany Kapanke
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Danilo Martinez
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Shanyan Xue
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Shakira F Suglia
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Theresa M Bastain
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Carmen Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Carrie V Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
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Kamai EM, Calderon A, Van Horne YO, Bastain TM, Breton CV, Johnston JE. Perceptions and experiences of environmental health and risks among Latina mothers in urban Los Angeles, California, USA. Environ Health 2023; 22:8. [PMID: 36641468 PMCID: PMC9840262 DOI: 10.1186/s12940-023-00963-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 01/07/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Environmental exposures during pregnancy and early childhood can have acute and chronic adverse health impacts. As minoritized populations are more likely to reside in areas with greater pollution, it is important to understand their views and lived experiences to inform action. The purpose of this community-driven qualitative research study was to understand how urban Latina mothers in Los Angeles County, California perceived environmental health and risks. METHODS We conducted semi-structured individual interviews with Latina pregnant women and mothers of young children, recruited through existing collaborations with community organizations. Interviews conducted in either English or Spanish and were coded inductively according to a modified grounded theory approach. RESULTS Thirty-six Latina mothers completed interviews between August-October 2016. Participants lived primarily in low-income communities of South-Central Los Angeles and East Los Angeles. We identified three major themes based on the participants' responses during interviews: Defining the Environment, Environment & Health Risks, and Social & Political Responsibility. Women defined their environment in terms of both "nature" and "hazards." They consistently identified foul odors, dirtiness, noise, trash, bugs, smoke, and other visible blights as indicators of household and neighborhood environmental hazards. They expressed fear and uncertainty about how their environment could affect their health and that of their children, as well as specific concerns about respiratory health, asthma, allergies, cancer, and adverse pregnancy outcomes. Mothers often changed individual behaviors around diet and cleaning during pregnancy but were frustrated by power imbalances that left them unable to change their home or neighborhood environments, despite their desire to do so. DISCUSSION Our study is among the first to describe how urban Latina mothers perceive and experience environmental health risks during pregnancy and early childhood. Our research suggests additional attention is needed by public health professionals and researchers to address the environmental health risks that matter most to urban Latina mothers. They also highlight the tension that many urban Latina mothers feel between wanting to protect their families' health and well-being and feeling powerless to change their environment. Broad policy changes, rather than additional individual recommendations, are needed to address the concerns of this vulnerable population.
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Affiliation(s)
- Elizabeth M Kamai
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Andrea Calderon
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yoshira Ornelas Van Horne
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jill E Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Maldonado LE, Farzan SF, Toledo-Corral CM, Dunton GF, Habre R, Eckel SP, Johnson M, Yang T, Grubbs BH, Lerner D, Chavez T, Breton CV, Bastain TM. A Vegetable, Oil, and Fruit Dietary Pattern in Late Pregnancy is Linked to Reduced Risks of Adverse Birth Outcomes in a Predominantly Low-Income Hispanic and Latina Pregnancy Cohort. J Nutr 2023; 152:2837-2846. [PMID: 36055799 PMCID: PMC9840002 DOI: 10.1093/jn/nxac209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 07/28/2022] [Accepted: 08/30/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Studies examining diet and its links to birth outcomes among socioeconomically disadvantaged populations in the United States are scarce. OBJECTIVES We aimed to identify prenatal dietary patterns, examine their relationships with birth outcomes, and evaluate the variation of these associations by maternal diabetes status [no diabetes, gestational diabetes mellitus (GDM), preexisting diabetes]. METHODS Women in the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) study (n = 465)-an ongoing, prospective pregnancy cohort of predominantly low-income Hispanic/Latina women in Los Angeles-completed up to two 24-hour dietary recalls in the third trimester of pregnancy. We identified prenatal dietary patterns via factor analysis and evaluated their associations with infant birth weight and gestational age at birth (GA) z-scores, separately, using linear regression, as well as the associations of the dietary patterns with premature births, having an infant that was small for gestational age (SGA), and having an infant that was large for gestational age, using logistic regression and adjusting for relevant covariates. We additionally tested interaction terms between prenatal dietary patterns and maternal diabetes status in separate models. We adjusted for multiple comparisons using the false discovery rate. RESULTS We identified 2 dietary patterns: 1) a dietary pattern of solid fats, refined grains, and cheese (SRC); and 2) a dietary pattern of vegetables, oils, and fruit (VOF). Comparing the highest to lowest quartiles, the VOF was significantly associated with a greater infant birth weight (β = 0.40; 95% CIs: 0.10, 0.70; Ptrend = 0.011), a greater GA (β = 0.32; 95% CIs: 0.03, 0.61; Ptrend = 0.036), lower odds of a premature birth (OR = 0.31; 95% CIs: 0.10, 0.95; Ptrend = 0.049), and lower odds of having an infant that was SGA (OR = 0.18; 95% CIs: 0.06, 0.58; Ptrend = 0.028). Only among women with GDM, a 1-SD score increase in the prenatal SRC was significantly associated with a lower infant birth weight (β = -0.20; 95% CIs -0.39, -0.02; Pinteraction = 0.040). CONCLUSIONS Among low-income Hispanic/Latina pregnant women, greater adherence to the prenatal VOF may lower the risk of a premature birth and having an infant that is SGA. Greater adherence to the SRC, however, may adversely affect newborn birth weight among mothers with GDM, but future research is needed to verify our findings.
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Affiliation(s)
- Luis E Maldonado
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Claudia M Toledo-Corral
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Health Sciences, California State University, Northridge, Northridge, CA, USA
| | - Genevieve F Dunton
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mark Johnson
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Tingyu Yang
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brendan H Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, Los Angeles, CA, USA
| | | | - Thomas Chavez
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Bastain TM, Knapp EA, Law A, Algermissen M, Avalos LA, Birnhak Z, Blackwell C, Breton CV, Duarte C, Frazier J, Ganiban J, Greenwood P, Herbstman J, Hernandez-Castro I, Hofheimer J, Karagas MR, Lewis J, Pagliaccio D, Ramphal B, Saxbe D, Schmidt R, Velez-Vega C, Tang X, Hamra GB, Margolis A. COVID-19 Pandemic Experiences and Symptoms of Pandemic-Associated Traumatic Stress Among Mothers in the US. JAMA Netw Open 2022; 5:e2247330. [PMID: 36525271 PMCID: PMC9856510 DOI: 10.1001/jamanetworkopen.2022.47330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/24/2022] [Indexed: 12/23/2022] Open
Abstract
Importance The primary outcomes of the COVID-19 pandemic on the mental health of women with children remain largely unknown. Objectives To identify and describe clusters of mothers of children participating in the Environmental influences on Child Health Outcomes (ECHO) Program that characterize pandemic-associated hardships, coping mechanisms, and behaviors, and to evaluate associations between pandemic-associated hardships, coping strategies, and behavior changes with pandemic-associated traumatic stress symptoms. Design, Setting, and Participants This multicenter cohort study investigated experiences during the COVID-19 pandemic between April 2020 and August 2021 among maternal caregivers of children participating in the ECHO Program. Data from self-identified mothers of ECHO-enrolled children from 62 US cohorts were included in analyses. Data were analyzed from November 2021 to July 2022. Exposures The primary exposures were pandemic-associated changes in mothers' health, health care utilization, work and finances, coping strategies, and health-associated behaviors. Exposures were assessed via a self-reported questionnaire designed by ECHO investigators. Main Outcomes and Measures The primary outcome was the total symptoms score of pandemic-associated traumatic stress (PTS), defined as the number of items endorsed at least sometimes or more frequently, from a 10-item self-report measure. Results The study surveyed 11 473 mothers (mean [SD] age, 37.8 [7.4] years; 342 American Indian [2.98%], 378 Asian [3.29%], 1701 Black [14.83%], and 7195 White [62.71%]; 2184 with Hispanic/Latina ethnicity [19.04%]) and identified 2 clusters that best characterized their COVID-19 pandemic experiences-one characterized by higher life disruptions (eg, to work and health care), higher social isolation, more coping behaviors to mitigate the outcomes of the pandemic, and more changes to their health behavior routines (high change [1031 mothers]) and the other characterized by lower changes (low change [3061 mothers]). The high change cluster was more socioeconomically advantaged and reported higher PTS (mean [SD] number of symptoms, 3.72 [2.44] vs 2.51 [2.47]). Across both clusters, higher pandemic-associated hardships, coping mechanisms, and behavior changes were associated with higher PTS, and these associations were greater in the low change cluster. Conclusions and Relevance In this study of more than 11 000 US mothers, associations between socioeconomic factors, stressful life events, and mental health sequelae were complex. Accordingly, programs, policies, and practices targeting mental health during public health crises such as the COVID-19 pandemic should consider the range and configuration of hardships in designing the most effective interventions to mitigate long-term outcomes.
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Affiliation(s)
- Theresa M. Bastain
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles
| | - Emily A. Knapp
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Andrew Law
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Lyndsay A. Avalos
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Zoe Birnhak
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles
| | | | - Carrie V. Breton
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles
| | - Cristiane Duarte
- Columbia University–New York State Psychiatric Institute, New York
| | - Jean Frazier
- University of Massachusetts Chan Medical School, Worcester
| | - Jody Ganiban
- Department of Psychological and Brain Sciences, Columbian College of Arts and Sciences, George Washington University, Washington, DC
| | - Paige Greenwood
- Columbia University Irving Medical Center, New York, New York
| | - Julie Herbstman
- Columbia Mailman School of Public Health, New York City, New York
| | - Ixel Hernandez-Castro
- Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles
| | - Julie Hofheimer
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill
| | | | - Johnnye Lewis
- College of Pharmacy, University of New Mexico, Albuquerque
| | | | - Bruce Ramphal
- Harvard University Medical School, New York, New York
| | - Darby Saxbe
- Dornsife College, University of Southern California, Los Angeles
| | - Rebecca Schmidt
- Department of Public Health Sciences, University of California, Davis, Davis
| | - Carmen Velez-Vega
- Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, San Juan
| | - Xiaodan Tang
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Ghassan B. Hamra
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Amy Margolis
- Columbia University Irving Medical Center, New York, New York
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Peterson AK, Habre R, Niu Z, Amin M, Yang T, Eckel SP, Farzan SF, Lurmann F, Pavlovic N, Grubbs BH, Walker D, Al-Marayati LA, Grant E, Lerner D, Bastain TM, Breton CV. Identifying pre-conception and pre-natal periods in which ambient air pollution exposure affects fetal growth in the predominately Hispanic MADRES cohort. Environ Health 2022; 21:115. [PMID: 36434705 PMCID: PMC9701016 DOI: 10.1186/s12940-022-00925-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 10/24/2022] [Indexed: 05/20/2023]
Abstract
BACKGROUND It is well documented that persons of color experience disproportionate exposure to environmental contaminants, including air pollution, and have poorer pregnancy outcomes. This study assessed the critical windows of exposure to ambient air pollution on in utero fetal growth among structurally marginalized populations in urban Los Angeles. METHODS Participants (N = 281) from the larger ongoing MADRES pregnancy cohort study were included in this analysis. Fetal growth outcomes were measured on average at 32 [Formula: see text] 2 weeks of gestation by a certified sonographer and included estimated fetal weight, abdominal circumference, head circumference, biparietal diameter and femur length. Daily ambient air pollutant concentrations were estimated for four pollutants (particulate matter less than 2.5 µm (PM2.5) and less than 10 µm (PM10) in aerodynamic diameter, nitrogen dioxide (NO2), and 8-h maximum ozone (O3)) at participant residences using inverse-distance squared spatial interpolation from ambient monitoring data. Weekly gestational averages were calculated from 12 weeks prior to conception to 32 weeks of gestation (44 total weeks), and their associations with growth outcomes were modeled using adjusted distributed lag models (DLMs). RESULTS Participants were on average 29 years [Formula: see text] 6 old and predominately Hispanic (82%). We identified a significant sensitive window of PM2.5 exposure (per IQR increase of 6 [Formula: see text]3) between gestational weeks 4-16 for lower estimated fetal weight [Formula: see text] averaged4-16 = -8.7 g; 95% CI -16.7, -0.8). Exposure to PM2.5 during gestational weeks 1-23 was also significantly associated with smaller fetal abdominal circumference ([Formula: see text] averaged1-23 = -0.6 mm; 95% CI -1.1, -0.2). Additionally, prenatal exposure to PM10 (per IQR increase of 13 [Formula: see text]3) between weeks 6-15 of pregnancy was significantly associated with smaller fetal abdominal circumference ([Formula: see text] averaged6-15 = -0.4 mm; 95% CI -0.8, -0.1). DISCUSSION These results suggest that exposure to particulate matter in early to mid-pregnancy, but not preconception or late pregnancy, may have critical implications on fetal growth.
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Affiliation(s)
- Alicia K Peterson
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA
| | - Monica Amin
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA
| | - Fred Lurmann
- Sonoma Technology Inc., Petaluma, CA, 94954, USA
| | | | - Brendan H Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Daphne Walker
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Laila A Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Edward Grant
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Deborah Lerner
- Eisner Health Medical Center, Los Angeles, CA, 90015, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90032, USA.
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Xu Y, Yi L, Cabison J, Rosales M, O'Sharkey K, Chavez TA, Johnson M, Lurmann F, Pavlovic N, Bastain TM, Breton CV, Wilson JP, Habre R. The impact of GPS-derived activity spaces on personal PM 2.5 exposures in the MADRES cohort. Environ Res 2022; 214:114029. [PMID: 35932832 DOI: 10.1016/j.envres.2022.114029] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/22/2022] [Accepted: 07/30/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND In-utero exposure to particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5) is associated with low birth weight and health risks later in life. Pregnant women are mobile and locations they spend time in contribute to their personal PM2.5 exposures. Therefore, it is important to understand how mobility and exposures encountered within activity spaces contribute to personal PM2.5 exposures during pregnancy. METHODS We collected 48-h integrated personal PM2.5 samples and continuous geolocation (GPS) data for 213 predominantly Hispanic/Latina pregnant women in their 3rd trimester in Los Angeles, CA. We also collected questionnaires and modeled outdoor air pollution and meteorology in their residential neighborhood. We calculated three GPS-derived activity space measures of exposure to road networks, greenness (NDVI), parks, traffic volume, walkability, and outdoor PM2.5 and temperature. We used bivariate analyses to screen variables (GPS-extracted exposures in activity spaces, individual characteristics, and residential neighborhood exposures) based on their relationship with personal, 48-h integrated PM2.5 concentrations. We then built a generalized linear model to explain the variability in personal PM2.5 exposure and identify key contributing factors. RESULTS Indoor PM2.5 sources, parity, and home ventilation were significantly associated with personal exposure. Activity-space based exposure to roads was associated with significantly higher personal PM2.5 exposure, while greenness was associated with lower personal PM2.5 exposure (β = -3.09 μg/m3 per SD increase in NDVI, p-value = 0.018). The contribution of outdoor PM2.5 to personal exposure was positive but relatively lower (β = 2.05 μg/m3 per SD increase, p-value = 0.016) than exposures in activity spaces and the indoor environment. The final model explained 34% of the variability in personal PM2.5 concentrations. CONCLUSIONS Our findings highlight the importance of activity spaces and the indoor environment on personal PM2.5 exposures of pregnant women living in Los Angeles, CA. This work also showcases the multiple, complex factors that contribute to total personal PM2.5 exposure.
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Affiliation(s)
- Yan Xu
- Spatial Sciences Institute, University of Southern California, USA.
| | - Li Yi
- Spatial Sciences Institute, University of Southern California, USA.
| | - Jane Cabison
- Department of Population and Public Health Sciences, University of Southern California, USA.
| | - Marisela Rosales
- Department of Population and Public Health Sciences, University of Southern California, USA.
| | - Karl O'Sharkey
- Department of Population and Public Health Sciences, University of Southern California, USA.
| | - Thomas A Chavez
- Department of Population and Public Health Sciences, University of Southern California, USA.
| | - Mark Johnson
- Department of Population and Public Health Sciences, University of Southern California, USA.
| | | | | | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, USA.
| | - Carrie V Breton
- Department of Population and Public Health Sciences, University of Southern California, USA.
| | - John P Wilson
- Spatial Sciences Institute, University of Southern California, USA; Department of Population and Public Health Sciences, University of Southern California, USA; Department of Civil & Environmental Engineering, Computer Science, and Sociology, University of Southern California, USA.
| | - Rima Habre
- Spatial Sciences Institute, University of Southern California, USA; Department of Population and Public Health Sciences, University of Southern California, USA.
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Choi G, Kuiper JR, Bennett DH, Barrett ES, Bastain TM, Breton CV, Chinthakindi S, Dunlop AL, Farzan SF, Herbstman JB, Karagas MR, Marsit CJ, Meeker JD, Morello-Frosch R, O'Connor TG, Pellizzari ED, Romano ME, Sathyanarayana S, Schantz S, Schmidt RJ, Watkins DJ, Zhu H, Kannan K, Buckley JP, Woodruff TJ. Exposure to melamine and its derivatives and aromatic amines among pregnant women in the United States: The ECHO Program. Chemosphere 2022; 307:135599. [PMID: 36055588 PMCID: PMC9748524 DOI: 10.1016/j.chemosphere.2022.135599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/24/2022] [Accepted: 07/01/2022] [Indexed: 05/09/2023]
Abstract
BACKGROUND Melamine, melamine derivatives, and aromatic amines are nitrogen-containing compounds with known toxicity and widespread commercial uses. Nevertheless, biomonitoring of these chemicals is lacking, particularly during pregnancy, a period of increased susceptibility to adverse health effects. OBJECTIVES We aimed to measure melamine, melamine derivatives, and aromatic amine exposure in pregnant women across the United States (U.S.) and evaluate associations with participant and urine sample collection characteristics. METHODS We measured 43 analytes, representing 45 chemicals (i.e., melamine, three melamine derivatives, and 41 aromatic amines), in urine from pregnant women in nine diverse ECHO cohorts during 2008-2020 (N = 171). To assess relations with participant and urine sample collection characteristics, we used generalized estimating equations to estimate prevalence ratios (PRs) for analytes dichotomized at the detection limit, % differences (%Δ) for continuous analytes, and 95% confidence intervals. Multivariable models included age, race/ethnicity, marital status, urinary cotinine, and year of sample collection. RESULTS Twelve chemicals were detected in >60% of samples, with near ubiquitous detection of cyanuric acid, melamine, aniline, 4,4'-methylenedianiline, and a composite of o-toluidine and m-toluidine (99-100%). In multivariable adjusted models, most chemicals were associated with higher exposures among Hispanic and non-Hispanic Black participants. For example, concentrations of 3,4-dichloroaniline were higher among Hispanic (%Δ: +149, 95% CI: +17, +431) and non-Hispanic Black (%Δ: +136, 95% CI: +35, +311) women compared with non-Hispanic White women. We observed similar results for ammelide, o-/m-toluidine, 4,4'-methylenedianiline, and 4-chloroaniline. Most chemicals were positively associated with urinary cotinine, with strongest associations observed for o-/m-toluidine (%Δ: +23; 95% CI: +16, +31) and 3,4-dichloroaniline (%Δ: +25; 95% CI: +17, +33). Some chemicals exhibited annual trends (e.g., %Δ in melamine per year: -11; 95% CI: -19, -1) or time of day, seasonal, and geographic variability. DISCUSSION Exposure to melamine, cyanuric acid, and some aromatic amines was ubiquitous in this first investigation of these analytes in pregnant women. Future research should expand biomonitoring, identify sources of exposure disparities by race/ethnicity, and evaluate potential adverse health effects.
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Affiliation(s)
- Giehae Choi
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jordan R Kuiper
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Deborah H Bennett
- Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Sridhar Chinthakindi
- Department of Pediatrics and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Anne L Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Julie B Herbstman
- Department of Environmental Health Sciences, Columbia University, New York, NY, USA
| | - Margaret R Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, NH, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy and Management and School of Public Health, University of California, Berkeley, CA, USA
| | - Thomas G O'Connor
- Department of Psychiatry, University of Rochester, Rochester, NY, USA
| | | | - Megan E Romano
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, NH, USA
| | - Sheela Sathyanarayana
- Department of Pediatrics, University of Washington, Seattle Children's Research Institute, Seattle, WA, USA; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Susan Schantz
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Deborah J Watkins
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Hongkai Zhu
- Department of Pediatrics and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Kurunthachalam Kannan
- Department of Pediatrics and Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Jessie P Buckley
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Tracey J Woodruff
- Department of Obstetrics, Gynecology, and Reproductive Sciences and the Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA.
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Niu Z, Habre R, Chavez TA, Yang T, Grubbs BH, Eckel SP, Berhane K, Toledo-Corral CM, Johnston J, Dunton GF, Lerner D, Al-Marayati L, Lurmann F, Pavlovic N, Farzan SF, Bastain TM, Breton CV. Association Between Ambient Air Pollution and Birth Weight by Maternal Individual- and Neighborhood-Level Stressors. JAMA Netw Open 2022; 5:e2238174. [PMID: 36282504 PMCID: PMC9597392 DOI: 10.1001/jamanetworkopen.2022.38174] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
IMPORTANCE Fetal growth is precisely programmed and could be interrupted by environmental exposures during specific times during pregnancy. Insights on potential sensitive windows of air pollution exposure in association with birth weight are needed. OBJECTIVE To examine the association of sensitive windows of ambient air pollution exposure with birth weight and heterogeneity by individual- and neighborhood-level stressors. DESIGN, SETTING, AND PARTICIPANTS Data on a cohort of low-income Hispanic women with singleton term pregnancy were collected from 2015 to 2021 in the ongoing Maternal and Developmental Risks from Environmental and Social Stressors cohort in Los Angeles, California. EXPOSURES Daily ambient particulate matter with aerodynamic diameter less than 10 μm (PM10) and aerodynamic diameter less than 2.5 μm (PM2.5), nitrogen dioxide (NO2), and 8-hour maximum ozone were assigned to residential locations. Weekly averages from 12 weeks before conception to 36 gestational weeks were calculated. Individual-level psychological stressor was measured by the Perceived Stress Scale. Neighborhood-level stressor was measured by the CalEnviroScreen 4.0. MAIN OUTCOMES AND MEASURES Sex-specific birth weight for gestational age z score (BWZ). The associations between air pollutant and BWZ were estimated using distributed lag models to identify sensitive windows of exposure, adjusting for maternal and meteorologic factors. We stratified the analyses by Perceived Stress Scale and CalEnviroScreen 4.0. We converted the effect size estimation in BWZ to grams to facilitate interpretation. RESULTS The study included 628 pregnant women (mean [SD] age, 22.18 [5.92] years) and their newborns (mean [SD] BWZ, -0.08 [1.03]). On average, an interquartile range (IQR) increase in PM2.5 exposure during 4 to 22 gestational weeks was associated with a -9.5 g (95% CI, -10.4 to -8.6 g) change in birth weight. In stratified models, PM2.5 from 4 to 24 gestational weeks was associated with a -34.0 g (95% CI, -35.7 to -32.4 g) change in birth weight and PM10 from 9 to 14 gestational weeks was associated with a -39.4 g (95% CI, -45.4 to -33.4) change in birth weight in the subgroup with high Perceived Stress Scale and high CalEnviroScreen 4.0 scores. In this same group, NO2 from 9 to 14 gestational weeks was associated with a -40.4 g (95% CI, -47.4 to -33.3 g) change in birth weight and, from 33 to 36 gestational weeks, a -117.6 g (95% CI, -125.3 to -83.7 g) change in birth weight. Generally, there were no significant preconception windows for any air pollutants or ozone exposure with birth weight. CONCLUSIONS AND RELEVANCE In this cohort study, early pregnancy to midpregnancy exposures to PM2.5, PM10, and NO2 were associated with lower birth weight, particularly for mothers experiencing higher perceived stress and living in a neighborhood with a high level of stressors from environmental pollution.
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Affiliation(s)
- Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Thomas A. Chavez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Brendan H. Grubbs
- Department of Obstetrics and Gynecology, University of Southern California, Los Angeles
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Kiros Berhane
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York
| | - Claudia M. Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
- Department of Health Sciences, California State University, Northridge
| | - Jill Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Genevieve F. Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | | | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, University of Southern California, Los Angeles
| | | | | | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
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Corona K, Chavez T, Stewart K, Toledo-Corral CM, Farzan SF, Habre R, Grubbs B, Al-Marayati L, Lurvey N, Lerner D, Eckel SP, Lagomasino I, Breton CV, Bastain TM. Adverse childhood experiences and prenatal depression in the maternal and development risks from environmental and social stressors pregnancy cohort. J OBSTET GYNAECOL 2022; 42:3014-3020. [PMID: 36178435 PMCID: PMC9851371 DOI: 10.1080/01443615.2022.2125298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The aim of this study was to examine the association between adverse childhood experiences (ACEs) and risk for depression among 480 predominantly low-income Hispanic/Latina women in the Maternal and Development Risks from Environmental and Social Stressors pregnancy cohort. Models were fitted to evaluate associations between ACEs and prenatal probable depression measured by the Center for Epidemiologic Studies-Depression Scale adjusting for recruitment site, age, income, race/ethnicity, marital status and parity. The ACEs Questionnaire parameterised experiences as counts (0-10), categories (0, 1-3 and 4+ ACEs) and domains. Participants had a significantly higher likelihood of prenatal probable depression per unit increase in ACEs count or if they reported 4+ ACEs relative to 0 ACEs. Higher likelihood of probable depression was also associated with higher counts of each ACEs domains: abuse, neglect and household dysfunction. Findings suggest systematic screening for depressive symptoms in those with a history of childhood adversities may be important in prenatal care practice.Impact StatementWhat is already known on this subject? Experiencing depression during pregnancy has been associated with later adverse maternal mental and physical health outcomes. Emerging studies indicate that adverse childhood experiences (ACEs) may maintain or increase the predisposition to prenatal depression.What do the results of this study add? Although prenatal depressive symptoms are prevalent among racial/ethnic minority samples including Hispanic/Latinas, research determining whether the association between ACEs and prenatal depression varies by nativity is scarce. Overall, ACEs were common among Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) participants and were associated with a higher likelihood of probable depression during pregnancy. These patterns did not significantly differ among the foreign-born versus U.S.-born Hispanic/Latina women, although the associations were stronger among U.S.-born Hispanic/Latina women.What are the implications of these findings for clinical practice and/or further research? Research should continue to focus on the effects of ACEs in communities that have been historically excluded in perinatal mental health services such as pregnant women from racial and ethnic minority groups. It may be important for clinicians to routinely screen for mental health during pregnancy as an adverse, psychological environment may impact both women and children. These findings suggest a need for improvement in systematic screening for depressive symptoms in those with a history of childhood adversities.
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Affiliation(s)
- Karina Corona
- Department of Population and Public Health Sciences, University of Southern California
| | - Thomas Chavez
- Department of Population and Public Health Sciences, University of Southern California
| | - Kennedy Stewart
- Department of Health Sciences, California State University, Northridge
| | - Claudia M. Toledo-Corral
- Department of Population and Public Health Sciences, University of Southern California
- Department of Health Sciences, California State University, Northridge
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, University of Southern California
| | - Rima Habre
- Department of Population and Public Health Sciences, University of Southern California
| | - Brendan Grubbs
- Department of Obstetrics and Gynecology, University of Southern California
| | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, University of Southern California
| | | | | | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, University of Southern California
| | - Isabel Lagomasino
- Department of Psychiatry and Behavioral Sciences, University of Southern California
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, University of Southern California
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, University of Southern California
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Peterson AK, Eckel SP, Habre R, Yang T, Faham D, Amin M, Grubbs BH, Farzan SF, Kannan K, Robinson M, Lerner D, Al-Marayati LA, Walker DK, Grant EG, Breton CV, Bastain TM. Detected prenatal perfluorooctanoic acid (PFOA) exposure is associated with decreased fetal head biometric parameters in participants experiencing higher perceived stress during pregnancy in the MADRES cohort. Environ Adv 2022; 9:100286. [PMID: 36507367 PMCID: PMC9731234 DOI: 10.1016/j.envadv.2022.100286] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
BACKGROUND Perfluoroalkyl substances (PFAS) are ubiquitous synthetic chemicals with long half-lives and are known to cross the placenta during pregnancy. We examined the influence of maternal PFAS levels on in utero fetal growth trajectories and assessed whether maternal stress modified these associations. METHODS Blood serum concentrations of five PFAS (PFOS, PFHxS, PFNA, PFOA, PFDA) were measured in 335 prenatal specimens (mean gestational age (GA): 21±9 weeks) in the MADRES cohort. Fetal growth outcomes (head circumference (HC), abdominal circumference (AC), biparietal diameter (BPD), femur length (FL), and estimated fetal weight (EFW)) were abstracted from ultrasound medical records and measured at the 3rd trimester study visit (N = 833 scans, GA range 10-42 weeks, mean 2.4 scans/participant). Adjusted linear mixed models with a GA quadratic growth curve were used for each PFAS exposure and growth outcome. PFOS and PFHxS were modeled continuously (100% sample detection), while PFOA, PFNA, and PFDA were modeled categorically (57-70% sample detection). Scores on the Perceived Stress Scale (PSS) measured in pregnancy were dichotomized at the median (<13 vs. ≥ 13) in stratified models. RESULTS Participants were on average 29±6 years old and predominately Hispanic (76%). Median serum concentrations of PFOS, PFHxS, PFNA, PFOA and PFDA were 1.34, 1.10, 0.07, 0.12, and 0.04 ng/mL, respectively. Participants with detected PFOA concentrations had fetuses with -2.5 mm (95% CI -4.2, -0.8) smaller HC and-0.7 mm (95% CI -1.3, -0.2) smaller BPD on average for a fixed GA than those without detected PFOA concentrations. In models stratified by PSS level, the effects of PFOA on fetal growth parameters were stronger and only significant in participants with higher stress levels (HC: β= -3.5, 95% CI -5.8, -1.4; BPD: β = -0.8, 95% CI -1.6, -1.1). CONCLUSIONS Prenatal PFOA exposure adversely impacted fetal head biometric parameters in participants experiencing higher stress during pregnancy.
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Affiliation(s)
- Alicia K. Peterson
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 North Soto Street Suite 102, Los Angeles, CA 90032, USA
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 North Soto Street Suite 102, Los Angeles, CA 90032, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 North Soto Street Suite 102, Los Angeles, CA 90032, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 North Soto Street Suite 102, Los Angeles, CA 90032, USA
| | - Dema Faham
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 North Soto Street Suite 102, Los Angeles, CA 90032, USA
| | - Monica Amin
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 North Soto Street Suite 102, Los Angeles, CA 90032, USA
| | - Brendan H. Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, 2020 Zonal Ave, Los Angeles, CA 90033, USA
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 North Soto Street Suite 102, Los Angeles, CA 90032, USA
| | - Kurunthachalam Kannan
- Department of Pediatrics, New York University School of Medicine, 145 East 32 Street, New York, NY 10016, USA
| | - Morgan Robinson
- Department of Pediatrics, New York University School of Medicine, 145 East 32 Street, New York, NY 10016, USA
| | - Deborah Lerner
- Eisner Health, 1530 S Olive St, Los Angeles, CA 90015, USA
| | - Laila A. Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, 2020 Zonal Ave, Los Angeles, CA 90033, USA
| | - Daphne K. Walker
- Department of Radiology, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave # 2315, Los Angeles, CA 90089, USA
| | - Edward G. Grant
- Department of Radiology, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave # 2315, Los Angeles, CA 90089, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 North Soto Street Suite 102, Los Angeles, CA 90032, USA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 North Soto Street Suite 102, Los Angeles, CA 90032, USA
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Peterson AK, Eckel SP, Habre R, Yang T, Faham D, Farzan SF, Grubbs BH, Kannan K, Robinson M, Lerner D, Al-Marayati LA, Walker DK, Grant EG, Bastain TM, Breton CV. Prenatal Perfluorooctanoic Acid (PFOA) Exposure Is Associated With Lower Infant Birthweight Within the MADRES Pregnancy Cohort. Front Epidemiol 2022; 2:934715. [PMID: 38455325 PMCID: PMC10910958 DOI: 10.3389/fepid.2022.934715] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/13/2022] [Indexed: 03/09/2024]
Abstract
Introduction Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are persistent synthetic chemicals found in household products that can cross the placenta during pregnancy. We investigated whether PFAS exposure during pregnancy was associated with infant birth outcomes in a predominantly urban Hispanic population. Methods Serum concentrations of perfluorooctanoic acid (PFOA), perfluorooctanesulfonic acid (PFOS), perfluorohexanesulfonic acid (PFHxS), perfluorononanoic acid (PFNA), and perfluorodecanoic acid (PFDA) were measured in 342 prenatal biospecimens (mean gestational age: 21 ± 9 weeks) from participants in the ongoing Maternal And Developmental Risks from Environmental and Social Stressors (MADRES) cohort. PFAS compounds were modeled continuously or categorically, depending on the percentage of samples detected. The birth outcomes assessed were birthweight, gestational age at birth, and birthweight for gestational age (BW-for-GA) z-scores that accounted for parity or infant sex. Single pollutant and multipollutant linear regression models were performed to evaluate associations between PFAS exposures and birth outcomes, adjusting for sociodemographic, perinatal, and study design covariates. Results Maternal participants (n = 342) were on average 29 ± 6 years old at study entry and were predominantly Hispanic (76%). Infants were born at a mean of 39 ± 2 weeks of gestation and weighed on average 3,278 ± 522 g. PFOS and PFHxS were detected in 100% of the samples while PFNA, PFOA, and PFDA were detected in 70%, 65%, and 57% of the samples, respectively. PFAS levels were generally lower in this cohort than in comparable cohorts. Women with detected levels of PFOA during pregnancy had infants weighing on average 119.7 g less (95% CI -216.7, -22.7) than women with undetected levels of PFOA in adjusted single pollutant models. PFOA results were also statistically significant in BW-for-GA z-score models that were specific for sex or parity. In models that were mutually adjusted for five detected PFAS compounds, PFOA results remained comparable; however, the association was only significant in BW-for-GA z-scores that were specific for parity (β = -0.3; 95% CI -0.6, -0.01). We found no significant adjusted associations with the remaining PFAS concentrations and the birth outcomes assessed. Conclusion Prenatal exposure to PFOA was associated with lower birthweight in infants, suggesting that exposure to these chemicals during critical periods of development might have important implications for children's health.
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Affiliation(s)
- Alicia K. Peterson
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Dema Faham
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Brendan H. Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Kurunthachalam Kannan
- Department of Pediatrics, New York University School of Medicine, New York, NY, United States
| | - Morgan Robinson
- Department of Pediatrics, New York University School of Medicine, New York, NY, United States
| | - Deborah Lerner
- Eisner Pediatric and Family Medical Center, Eisner Health, Los Angeles, CA, United States
| | - Laila A. Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Daphne K. Walker
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Edward G. Grant
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
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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] [What about the content of this article? (0)] [Affiliation(s)] [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.
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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
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Yi L, Xu Y, Eckel SP, O'Connor S, Cabison J, Rosales M, Chu D, Chavez TA, Johnson M, Mason TB, Bastain TM, Breton CV, Dunton GF, Wilson JP, Habre R. Time-activity and daily mobility patterns during pregnancy and early postpartum - evidence from the MADRES cohort. Spat Spatiotemporal Epidemiol 2022; 41:100502. [PMID: 35691658 PMCID: PMC9198358 DOI: 10.1016/j.sste.2022.100502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 03/07/2022] [Accepted: 03/21/2022] [Indexed: 01/29/2023]
Abstract
INTRODUCTION Pregnant women's daily time-activity and mobility patterns determine their environmental exposures and subsequently related health effects. Most studies ignore these and assess pregnancy exposures using static residential measures. METHODS We conducted 4-day continuous geo-location monitoring in 62 pregnant Hispanic women, during pregnancy and early post-partum then derived trips by mode and stays, classified by context (indoor/outdoor, type). Generalized mixed-effect models were used to examine whether these patterns changed over time. RESULTS Women spent on average 17.3 h/day at home. Commercial and service locations were the most popular non-home destinations, while parks and open spaces were seldom visited. Women made 3.5 daily trips (63.7 min/day and approximately 25% were pedestrian-based). Women were less likely to visit commercial and services locations and make vehicle-based trips postpartum compared to the 3rd trimester. CONCLUSION Our findings suggest time-activity patterns vary across pregnancy and postpartum, thus assessing exposures at stationary locations might introduce measurement error.
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Affiliation(s)
- Li Yi
- Spatial Sciences Institute, University of Southern California, United States
| | - Yan Xu
- Spatial Sciences Institute, University of Southern California, United States
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, University of Southern California, United States
| | - Sydney O'Connor
- Department of Population and Public Health Sciences, University of Southern California, United States
| | - Jane Cabison
- Department of Population and Public Health Sciences, University of Southern California, United States
| | - Marisela Rosales
- Department of Population and Public Health Sciences, University of Southern California, United States
| | - Daniel Chu
- Department of Population and Public Health Sciences, University of Southern California, United States
| | - Thomas A Chavez
- Department of Population and Public Health Sciences, University of Southern California, United States
| | - Mark Johnson
- Department of Population and Public Health Sciences, University of Southern California, United States
| | - Tyler B Mason
- Department of Population and Public Health Sciences, University of Southern California, United States
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, United States
| | - Carrie V Breton
- Department of Population and Public Health Sciences, University of Southern California, United States
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, University of Southern California, United States; Department of Psychology, University of Southern California, United States
| | - John P Wilson
- Spatial Sciences Institute, University of Southern California, United States; Department of Population and Public Health Sciences, University of Southern California, United States; Departments of Civil & Environmental Engineering, Computer Science and Sociology, University of Southern California, United States
| | - Rima Habre
- Spatial Sciences Institute, University of Southern California, United States; Department of Population and Public Health Sciences, University of Southern California, United States.
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Niu Z, Naya CH, Reynaga L, Toledo-Corral CM, Johnson M, Yang T, Grubbs B, Lurvey N, Lerner D, Dunton GF, Habre R, Breton CV, Bastain TM, Farzan SF. Association of Breastfeeding Duration with 12-Month Postpartum Blood Lipids in a Predominately Lower-Income Hispanic Pregnancy Cohort in Los Angeles. Int J Environ Res Public Health 2022; 19:3008. [PMID: 35270701 PMCID: PMC8910591 DOI: 10.3390/ijerph19053008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/28/2022] [Accepted: 03/02/2022] [Indexed: 02/02/2023]
Abstract
Breastfeeding may protect women’s long-term cardiovascular health; however, breastfeeding-related postpartum lipid changes remain unclear. We aim to examine associations of breastfeeding duration with maternal lipids at 12 months postpartum. In a subsample (n = 79) of the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) cohort, breastfeeding status and duration at 3, 6, and 12 months postpartum were self-reported. Serum levels of lipids, including total cholesterol, triglycerides (TG), high-, low-, and very low-density lipoprotein cholesterol (HDL-C, LDL-C, VLDL-C), were measured from blood samples collected at 12 months postpartum. We used linear regression models to compare lipids by breastfeeding duration, adjusting for potential confounders. Women who were breastfeeding at 12 months had higher HDL-C (mean: 41.74 mg/dL, 95% CI: 37.27−46.74 vs. 35.11 mg/dL, 95% CI: 31.42−39.24), lower TG (80.45 mg/dL, 95% CI: 66.20−97.77 vs. 119.11 mg/dL, 95% CI: 98.36−144.25), and lower VLDL-C (16.31 mg/dL, 95% CI: 13.23, 20.12 vs. 23.09 mg/dL, 95% CI: 18.61−28.65) compared to women who breastfed for <6 months. No lipids were significantly different between women who breastfed for 6−11 months and for <6 months. Each month’s increase in breastfeeding duration was significantly, inversely associated with TG and VLDL-C and positively with HDL-C. Adjusting for fasting status, demographics, pre-pregnancy body mass index, breastfeeding frequency, and pregnancy complications did not appreciably change effect estimates. Breastfeeding at 12 months postpartum and a longer duration of breastfeeding in the first year postpartum were both associated with increased HDL-C and decreased TG and VLDL-C at 12 months postpartum.
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Affiliation(s)
- Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
| | - Christine H. Naya
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
| | - Lorena Reynaga
- Department of Health Sciences, College of Health and Human Development, California State University Northridge, Northridge, CA 91330, USA;
| | - Claudia M. Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
- Department of Health Sciences, College of Health and Human Development, California State University Northridge, Northridge, CA 91330, USA;
| | - Mark Johnson
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
| | - Brendan Grubbs
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
- Department of Obstetrics & Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA
| | - Nathana Lurvey
- Eisner Health, Los Angeles, CA 90015, USA; (N.L.); (D.L.)
| | - Deborah Lerner
- Eisner Health, Los Angeles, CA 90015, USA; (N.L.); (D.L.)
| | - Genevieve F. Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90039, USA; (Z.N.); (C.H.N.); (C.M.T.-C.); (M.J.); (T.Y.); (B.G.); (G.F.D.); (R.H.); (C.V.B.); (T.M.B.)
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46
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Howe CG, Nozadi SS, Garcia E, O'Connor TG, Starling AP, Farzan SF, Jackson BP, Madan JC, Alshawabkeh AN, Cordero JF, Bastain TM, Meeker JD, Breton CV, Karagas MR. Prenatal metal(loid) mixtures and birth weight for gestational age: A pooled analysis of three cohorts participating in the ECHO program. Environ Int 2022; 161:107102. [PMID: 35081493 PMCID: PMC8891091 DOI: 10.1016/j.envint.2022.107102] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 01/16/2022] [Accepted: 01/17/2022] [Indexed: 05/19/2023]
Abstract
BACKGROUND A growing number of studies have identified both toxic and essential metals which influence fetal growth. However, most studies have conducted single-cohort analyses, which are often limited by narrow exposure ranges, and evaluated metals individually. The objective of the current study was to conduct an environmental mixture analysis of metal impacts on fetal growth, pooling data from three geographically and demographically diverse cohorts in the United States participating in the Environmental Influences on Child Health Outcomes program. METHODS The pooled sample (N = 1,002) included participants from the MADRES, NHBCS, and PROTECT cohorts. Associations between seven metals (antimony, cadmium, cobalt, mercury, molybdenum, nickel, tin) measured in maternal urine samples collected during pregnancy (median: 16.0 weeks gestation) and birth weight for gestational age z-scores (BW for GA) were investigated using Bayesian Kernel Machine Regression (BKMR). Models were also stratified by cohort and infant sex to investigate possible heterogeneity. Chromium and uranium concentrations fell below the limits of detection for most participants and were evaluated separately as binary variables using pooled linear regression models. RESULTS In the pooled BKMR analysis, antimony, mercury, and tin were inversely and linearly associated with BW for GA, while a positive linear association was identified for nickel. The inverse association between antimony and BW for GA was observed in both males and females and for all three cohorts but was strongest for MADRES, a predominantly low-income Hispanic cohort in Los Angeles. A reverse j-shaped association was identified between cobalt and BW for GA, which was driven by female infants. Pooled associations were null for cadmium, chromium, molybdenum, and uranium, and BKMR did not identify potential interactions between metal pairs. CONCLUSIONS Findings suggest that antimony, an understudied metalloid, may adversely impact fetal growth. Cohort- and/or sex-dependent associations were identified for many of the metals, which merit additional investigation.
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Affiliation(s)
- Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03766, USA
| | - Sara S Nozadi
- Community Environmental Health Program, College of Pharmacy, University of New Mexico Health Sciences Center, 1 University of New Mexico, Albuquerque, NM 87131, USA
| | - Erika Garcia
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St, Los Angeles, CA 90032, USA
| | - Thomas G O'Connor
- Department of Psychiatry, University of Rochester Medical Center, 601 Elmwood, Ave, Rochester, NY 14642, USA
| | - Anne P Starling
- Department of Epidemiology, University of North Carolina at Chapel Hill, 2101 McGavran-Greenberg, Campus Box 7435, Chapel Hill, NC 27599, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St, Los Angeles, CA 90032, USA
| | - Brian P Jackson
- Department of Earth Sciences, Dartmouth College, 39 College St, Hanover, NH 03755, USA
| | - Juliette C Madan
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03766, USA; Departments of Pediatrics and Psychiatry, Children's Hospital at Dartmouth, Dartmouth Hitchcock Medical Center, 1 Medical Center Drive, Lebanon, NH 03756, USA
| | - Akram N Alshawabkeh
- Department of Engineering, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA
| | - José F Cordero
- Department of Epidemiology & Biostatistics, College of Public Health, University of Georgia, 101 Buck Rd, Athens, GA 30602, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St, Los Angeles, CA 90032, USA
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St, Los Angeles, CA 90032, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03766, USA
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47
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Hernandez I, Eckel SP, Chavez T, Johnson M, Lerner D, Grubbs B, Toledo-Corral CM, Farzan SF, Habre R, Dunton GF, Breton CV, Bastain TM. Household pesticide exposures and infant gross motor development in the MADRES cohort. Paediatr Perinat Epidemiol 2022; 36:220-229. [PMID: 34964501 PMCID: PMC8881403 DOI: 10.1111/ppe.12850] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 11/10/2021] [Accepted: 12/01/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND The development of motor skills in infancy is a vital neurodevelopmental milestone. Although previous studies have explored the neurotoxic effects of agricultural pesticides on infants' motor development, limited research has examined early postnatal household pesticide use on infants' motor development, particularly among urban communities. OBJECTIVE This study examined the association between early postnatal household pesticide use and infants' gross and fine motor development at 6 months of age. METHODS Questionnaires were administered via telephone to 296 mother-infant dyads in the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) pregnancy cohort. Early life household pesticide use was assessed via questionnaire administered when infants turned 3 months old and gross and fine motor development was assessed by the Ages and Stages Questionnaire (ASQ-3) at 6 months old. Infant gross motor scores were reverse coded so that higher scores indicated lower gross motor performance. Negative binomial regressions were performed to assess the relationship between household pesticide use and infant gross motor development. RESULTS Infants were predominantly Hispanic (78.7%) and full term (gestational age at birth: 39.0 ± 1.9 weeks), with 22.3% of maternal participants reporting household use of rodent and insect pesticides. Adjusting for recruitment site, maternal age, ethnicity, household income, education, infant corrected age, infant sex, and home type, infants with maternal-reported household use of rodent and insect pesticides had 1.30 times higher expected gross motor scores (95% confiidence interval 1.05, 1.61) than infants with no reported use of household pesticides, with higher scores indicating reduced gross motor performance. CONCLUSIONS Our results suggest household use of rodent and insect pesticides may harm infants' gross motor development in early childhood. Future research should evaluate the impact of specific household chemicals in infant biospecimens and their associations with infant motor development to confirm these findings.
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Affiliation(s)
- Ixel Hernandez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mark Johnson
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Brendan Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Claudia M. Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA,Department of Health Sciences, California State University Northridge, CA, USA
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Genevieve F. Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA,Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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48
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Naya CH, Toledo-Corral CM, Chavez T, Lerner D, Lurvey N, Eckel SP, Peterson AK, Grubbs BH, Dunton GF, Breton CV, Bastain TM. Third trimester cortisol is positively associated with gestational weight gain in pregnant women with class one obesity. Int J Obes (Lond) 2022; 46:366-373. [PMID: 34718334 PMCID: PMC9012147 DOI: 10.1038/s41366-021-01009-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/27/2021] [Accepted: 10/19/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND/OBJECTIVE Prevalence of pre-pregnancy obesity and excessive gestational weight gain (GWG) are higher among women of color with low SES. Dysregulation of the Hypothalamic-Pituitary-Adrenal (HPA) axis and its end-product, cortisol, during pregnancy is hypothesized to be associated with excessive GWG. However, past studies have produced inconsistent findings and often did not include health disparities populations. This study examined the association between pre-pregnancy body mass index (BMI), third trimester diurnal cortisol, and GWG in low-income, predominantly Hispanic women. SUBJECTS/METHODS The MADRES study is an ongoing prospective cohort study of primarily Hispanic, low-income pregnant women and their children in Los Angeles, California. Data from 176 participants were included in this study. Total cortisol secretion (area under the curve, AUC) was quantified using four salivary cortisol samples (awakening, 30 min after awakening, afternoon, and bedtime) that were collected at home on one day during the third trimester of pregnancy. Moderation of the association between total cortisol and GWG by pre-pregnancy BMI was tested using multiple linear regression with a multiplicative interaction term. RESULTS There was no association between total cortisol secretion and GWG overall (p = 0.82), but the association between total cortisol and GWG was stronger for women with class 1 pre-pregnancy obesity compared to women with normal pre-pregnancy BMI (interaction term p = 0.04). CONCLUSIONS Results suggest that obesity status before pregnancy may be exacerbating the physiological impact of cortisol on GWG.
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Affiliation(s)
- Christine H. Naya
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Claudia M. Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA,Department of Health Sciences, California State University Northridge, Northridge, CA, USA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | | | | | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Alicia K. Peterson
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Brendan H. Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Genevieve F. Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA,Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
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Hernandez-Castro I, Toledo-Corral CM, Chavez T, Habre R, Grubbs B, Al-Marayati L, Lerner D, Lurvey N, Lagomasino I, Eckel SP, Dunton GF, Farzan SF, Breton CV, Bastain TM. Perceived vulnerability to immigration policies among postpartum Hispanic/Latina women in the MADRES pregnancy cohort before and during the COVID-19 pandemic. Womens Health (Lond) 2022; 18:17455057221125103. [PMID: 36148937 PMCID: PMC9511002 DOI: 10.1177/17455057221125103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 07/22/2022] [Accepted: 08/16/2022] [Indexed: 02/02/2023]
Abstract
INTRODUCTION AND OBJECTIVES Research suggests that perceived immigration policy vulnerability has important health implications. Coupled with the mental and physical stressors accompanying the postpartum period and a growing awareness of the discrimination and structural racism experienced by marginalized communities globally, the coronavirus disease 2019 period may have exacerbated stress among vulnerable populations, specifically postpartum Hispanic/Latina women. This study evaluated perceived immigration policy vulnerability (i.e. discrimination, social isolation, and family threats) in early postpartum Hispanic/Latina women in Los Angeles before and during the coronavirus disease 2019 pandemic. METHODS The Perceived Immigration Policy Effects Scale (PIPES) was administered cross-sectionally at 1 month postpartum to 187 Hispanic/Latina women in the MADRES cohort. Respondents between September 2018 and March 2020 were classified as "pre-pandemic" (N = 128), between March 2020 and July 2020 as "early pandemic" (N = 38), and between August 2020 and November 2021 as "later pandemic" (N = 21). Average PIPES subscale scores were dichotomized into "higher" and "lower" groups (⩽median, >median) and logistic regression models were performed. RESULTS Approximately half of participants had incomes of <$50,000 (50.3%) and were Latin American born (54.6%). After adjusting for age, nativity, education, income, postpartum distress, and employment status, early pandemic respondents had 5.05 times the odds of a higher score on the perceived discrimination subscale (95% CI: 1.81, 14.11), 6.47 times the odds of a higher score on the social isolation subscale (95% CI: 2.23, 18.74), 2.66 times the odds of a higher score on the family threats subscale (95% CI: 0.97, 7.32), and 3.36 times the odds of a higher total score (95% CI: 1.19, 9.51) when compared to pre-pandemic respondents. There were no significant subscale score differences between later pandemic and pre-pandemic periods. CONCLUSION Higher perceived immigration policy vulnerability was reported among postpartum women during the early coronavirus disease 2019 pandemic versus pre-pandemic periods. This suggests greater social inequities during the early pandemic period.
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Affiliation(s)
- Ixel Hernandez-Castro
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Claudia M Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Health Sciences, California State University Northridge, Northridge, CA, USA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brendan Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Isabel Lagomasino
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Bastain TM, Chavez T, Habre R, Hernandez-Castro I, Grubbs B, Toledo-Corral CM, Farzan SF, Lurvey N, Lerner D, Eckel SP, Lurmann F, Lagomasino I, Breton C. Prenatal ambient air pollution and maternal depression at 12 months postpartum in the MADRES pregnancy cohort. Environ Health 2021; 20:121. [PMID: 34838014 PMCID: PMC8626870 DOI: 10.1186/s12940-021-00807-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 11/15/2021] [Indexed: 05/27/2023]
Abstract
BACKGROUND Depression is the leading cause of mental health-related morbidity and affects twice as many women as men. Hispanic/Latina women in the US have unique risk factors for depression and they have lower utilization of mental health care services. Identifying modifiable risk factors for maternal depression, such as ambient air pollution, is an urgent public health priority. We aimed to determine whether prenatal exposure to ambient air pollutants was associated with maternal depression at 12 months after childbirth. METHODS One hundred eighty predominantly low-income Hispanic/Latina women participating in the ongoing MADRES cohort study in Los Angeles, CA were followed from early pregnancy through 12 months postpartum through a series of phone questionnaires and in-person study visits. Daily prenatal ambient pollutant estimates of nitrogen dioxide (NO2), ozone (O3), and particulate matter (PM10 and PM2.5) were assigned to participant residences using inverse-distance squared spatial interpolation from ambient monitoring data. Exposures were averaged for each trimester and across pregnancy. The primary outcome measure was maternal depression at 12 months postpartum, as reported on the 20-item Center for Epidemiologic Studies-Depression (CES-D) scale. We classified each participant as depressed (n = 29) or not depressed (n = 151) based on the suggested cutoff of 16 or above (possible scores range from 0 to 60) and fitted logistic regression models, adjusting for potential confounders. RESULTS We found over a two-fold increased odds of depression at 12 months postpartum associated with second trimester NO2 exposure (OR = 2.63, 95% CI: 1.41-4.89) and pregnancy average NO2 (OR = 2.04, 95% CI: 1.13-3.69). Higher second trimester PM2.5 exposure also was associated with increased depression at 12 months postpartum (OR = 1.56, 95% CI: 1.01-2.42). The effect for second trimester PM10 was similar and was borderline significant (OR = 1.58, 95% CI: 0.97-2.56). CONCLUSIONS In a low-income cohort consisting of primarily Hispanic/Latina women in urban Los Angeles, we found that prenatal ambient air pollution, especially mid-pregnancy NO2 and PM2.5, increased the risk of depression at 12 months after childbirth. These results underscore the need to better understand the contribution of modifiable environmental risk factors during potentially critical exposure periods.
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Affiliation(s)
- Theresa M. Bastain
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, 2001 N. Soto Street, M/C 9237, Los Angeles, CA 90032 USA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, 2001 N. Soto Street, M/C 9237, Los Angeles, CA 90032 USA
| | - Rima Habre
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, 2001 N. Soto Street, M/C 9237, Los Angeles, CA 90032 USA
| | - Ixel Hernandez-Castro
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, 2001 N. Soto Street, M/C 9237, Los Angeles, CA 90032 USA
| | - Brendan Grubbs
- Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, USA
| | - Claudia M. Toledo-Corral
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, 2001 N. Soto Street, M/C 9237, Los Angeles, CA 90032 USA
- Department of Health Sciences, California State University, Northridge, USA
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, 2001 N. Soto Street, M/C 9237, Los Angeles, CA 90032 USA
| | | | | | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, 2001 N. Soto Street, M/C 9237, Los Angeles, CA 90032 USA
| | | | - Isabel Lagomasino
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, USA
| | - Carrie Breton
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, 2001 N. Soto Street, M/C 9237, Los Angeles, CA 90032 USA
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