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Jackson-Browne MS, Patti MA, Henderson NB, Hauptman M, Phipatanakul W. Asthma and Environmental Exposures to Phenols, Polycyclic Aromatic Hydrocarbons, and Phthalates in Children. Curr Environ Health Rep 2023; 10:469-477. [PMID: 37973722 PMCID: PMC10877704 DOI: 10.1007/s40572-023-00417-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2023] [Indexed: 11/19/2023]
Affiliation(s)
- Medina S Jackson-Browne
- Division of General Pediatrics, Boston Children's Hospital, Member of the Faculty, Harvard Medical School, 300 Longwood Avenue, LM 7605.1, Boston, MA, 02115, USA.
- Harvard Medical School, Harvard University, Boston, MA, USA.
| | - Marisa A Patti
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, USA
| | - Noelle B Henderson
- Department of Environmental Health, Boston University School of Public Health, Boston University, Boston, MA, USA
| | - Marissa Hauptman
- Division of General Pediatrics, Boston Children's Hospital, Member of the Faculty, Harvard Medical School, 300 Longwood Avenue, LM 7605.1, Boston, MA, 02115, USA
- Harvard Medical School, Harvard University, Boston, MA, USA
- New England Pediatric Environmental Health Specialty Unit, Boston, MA, USA
| | - Wanda Phipatanakul
- Harvard Medical School, Harvard University, Boston, MA, USA
- Division of Allergy and Immunology, Boston Children's Hospital, Boston, MA, USA
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Li Z, Lewin M, Ruiz P, Nigra AE, Henderson NB, Jarrett JM, Ward C, Zhu J, Umans JG, O'Leary M, Zhang Y, Ragin-Wilson A, Navas-Acien A. Blood cadmium, lead, manganese, mercury, and selenium levels in American Indian populations: The Strong Heart Study. Environ Res 2022; 215:114101. [PMID: 35977585 PMCID: PMC9644284 DOI: 10.1016/j.envres.2022.114101] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 05/15/2023]
Abstract
BACKGROUND Many American Indian (AI) communities are in areas affected by environmental contamination, such as toxic metals. However, studies assessing exposures in AI communities are limited. We measured blood metals in AI communities to assess historical exposure and identify participant characteristics associated with these levels in the Strong Heart Study (SHS) cohort. METHOD Archived blood specimens collected from participants (n = 2014, all participants were 50 years of age and older) in Arizona, Oklahoma, and North and South Dakota during SHS Phase-III (1998-1999) were analyzed for cadmium, lead, manganese, mercury, and selenium using inductively coupled plasma triple quadrupole mass spectrometry. We conducted descriptive analyses for the entire cohort and stratified by selected subgroups, including selected demographics, health behaviors, income, waist circumference, and body mass index. Bivariate associations were conducted to examine associations between blood metal levels and selected socio-demographic and behavioral covariates. Finally, multivariate regression models were used to assess the best model fit that predicted blood metal levels. FINDINGS All elements were detected in 100% of study participants, with the exception of mercury (detected in 73% of participants). The SHS population had higher levels of blood cadmium and manganese than the general U.S. population 50 years and older. The median blood mercury in the SHS cohort was at about 30% of the U.S. reference population, potentially due to low fish consumption. Participants in North Dakota and South Dakota had the highest blood cadmium, lead, manganese, and selenium, and the lowest total mercury levels, even after adjusting for covariates. In addition, each of the blood metals was associated with selected demographic, behavioral, income, and/or weight-related factors in multivariate models. These findings will help guide the tribes to develop education, outreach, and strategies to reduce harmful exposures and increase beneficial nutrient intake in these AI communities.
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Affiliation(s)
- Zheng Li
- Office of Community Health and Hazard Assessment, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Michael Lewin
- Office of Community Health and Hazard Assessment, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Patricia Ruiz
- Office of Innovation and Analytics, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Anne E Nigra
- Department of Environmental Health Sciences, School of Public Health, Columbia University, New York City, NY, USA
| | - Noelle B Henderson
- Office of Community Health and Hazard Assessment, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jeffery M Jarrett
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Cynthia Ward
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jianhui Zhu
- MedStar Health Research Institute, Hyattsville, MD, USA
| | - Jason G Umans
- MedStar Health Research Institute, Hyattsville, MD, USA; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington DC, USA
| | - Marcia O'Leary
- Missouri Breaks Industries and Research, Inc., Eagle Butte, SD, USA
| | - Ying Zhang
- Center for American Indian Health Research, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Angela Ragin-Wilson
- Office of Associate Director, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, School of Public Health, Columbia University, New York City, NY, USA
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Patti MA, Henderson NB, Gajjar P, Eliot M, Jackson-Browne M, Braun JM. Gestational triclosan exposure and infant birth weight: A systematic review and meta-analysis. Environ Int 2021; 157:106854. [PMID: 34560323 PMCID: PMC8576608 DOI: 10.1016/j.envint.2021.106854] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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: 01/21/2021] [Revised: 08/02/2021] [Accepted: 08/30/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND Exposure to triclosan, an antimicrobial chemical used in some personal care and cleaning products, has been associated with reduced birth weight in some, but not all epidemiological studies. OBJECTIVES We conducted a systematic review and meta-analysis to characterize the relation of gestational triclosan exposure with infant birth weight and identify sources of heterogeneity between studies. METHODS We identified original studies measuring urinary triclosan concentrations during pregnancy and reporting their association with infant birth weight, gestational age (GA) adjusted birth weight (g), or GA-standardized birth weight z-scores. Using a random effects model, we estimated differences in these outcomes per 10-fold increase in triclosan concentrations and considered triclosan levels and infant sex as sources of heterogeneity. Using Navigation Guide Methods, we evaluated risk of bias within individual studies and across the body of evidence. RESULTS Among thirteen studies, median triclosan concentrations varied by almost 2-orders of magnitude (0.6-29 ng/mL), with higher concentrations in North American and some European studies compared to Asian ones. Associations between triclosan and birth weight (β:-20 g; 95% CI:-65, 26; n = 6) were stronger than those for GA-adjusted birth weight (β:-12 g; 95% CI:-29, 5; n = 9). Triclosan was not associated with GA-standardized birth weight z-scores (β:-0.04; 95% CI:-0.16, 0.07; n = 5). The association between triclosan and GA-adjusted birth weight was stronger in studies with median triclosan values ≥10 ng/mL compared to studies with median values < 10 ng/mL (β:-27 g; 95% CI:-61, 7; n = 4 vs. β:6g; 95% CI:-20, 31; n = 5). With a limited number of studies, we observed suggestive evidence that inverse associations were more apparent in studies with ≥ 2 prospective triclosan measures compared to those with one measure. DISCUSSION Available evidence, with "low" risk of bias, provides limited evidence that triclosan exposure and reduces infant birth weight. We observed stronger inverse associations between triclosan concentrations and birth weight in populations with higher triclosan exposure.
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Affiliation(s)
- Marisa A Patti
- Brown University School of Public Health, 121 S. Main Street, Providence, RI 02912, United States.
| | - Noelle B Henderson
- Brown University School of Public Health, 121 S. Main Street, Providence, RI 02912, United States.
| | - Priya Gajjar
- Brown University School of Public Health, 121 S. Main Street, Providence, RI 02912, United States.
| | - Melissa Eliot
- Brown University School of Public Health, 121 S. Main Street, Providence, RI 02912, United States.
| | | | - Joseph M Braun
- Brown University School of Public Health, 121 S. Main Street, Providence, RI 02912, United States.
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