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Hu JMY, Arbuckle TE, Janssen PA, Lanphear BP, Alampi JD, Braun JM, MacFarlane AJ, Chen A, McCandless LC. Gestational exposure to organochlorine compounds and metals and infant birth weight: effect modification by maternal hardships. Environ Health 2024; 23:60. [PMID: 38951908 PMCID: PMC11218229 DOI: 10.1186/s12940-024-01095-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 06/06/2024] [Indexed: 07/03/2024]
Abstract
BACKGROUND Gestational exposure to toxic environmental chemicals and maternal social hardships are individually associated with impaired fetal growth, but it is unclear whether the effects of environmental chemical exposure on infant birth weight are modified by maternal hardships. METHODS We used data from the Maternal-Infant Research on Environmental Chemicals (MIREC) Study, a pan-Canadian cohort of 1982 pregnant females enrolled between 2008 and 2011. We quantified eleven environmental chemical concentrations from two chemical classes - six organochlorine compounds (OCs) and five metals - that were detected in ≥ 70% of blood samples collected during the first trimester. We examined fetal growth using birth weight adjusted for gestational age and assessed nine maternal hardships by questionnaire. Each maternal hardship variable was dichotomized to indicate whether the females experienced the hardship. In our analysis, we used elastic net to select the environmental chemicals, maternal hardships, and 2-way interactions between maternal hardships and environmental chemicals that were most predictive of birth weight. Next, we obtained effect estimates using multiple linear regression, and plotted the relationships by hardship status for visual interpretation. RESULTS Elastic net selected trans-nonachlor, lead, low educational status, racially minoritized background, and low supplemental folic acid intake. All were inversely associated with birth weight. Elastic net also selected interaction terms. Among those with increasing environmental chemical exposures and reported hardships, we observed stronger negative associations and a few positive associations. For example, every two-fold increase in lead concentrations was more strongly associated with reduced infant birth weight among participants with low educational status (β = -100 g (g); 95% confidence interval (CI): -215, 16), than those with higher educational status (β = -34 g; 95% CI: -63, -3). In contrast, every two-fold increase in mercury concentrations was associated with slightly higher birth weight among participants with low educational status (β = 23 g; 95% CI: -25, 71) compared to those with higher educational status (β = -9 g; 95% CI: -24, 6). CONCLUSIONS Our findings suggest that maternal hardships can modify the associations of gestational exposure to some OCs and metals with infant birth weight.
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Affiliation(s)
- Janice M Y Hu
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, 101 Tunney's Pasture Driveway, Ottawa, ON, K1A 0K9, Canada.
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.
| | - Tye E Arbuckle
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, 101 Tunney's Pasture Driveway, Ottawa, ON, K1A 0K9, Canada
| | - Patricia A Janssen
- School of Population and Public Health, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Bruce P Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
| | - Joshua D Alampi
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Amanda J MacFarlane
- Texas A&M Agriculture, Food and Nutrition Evidence Center, Fort Worth, TX, USA
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Fu Y, He M, Liu Y, Li M, Zhu M, Wang Y, Lin W, Yu L, Yang L, Zhang Y, Liu Y, Ji H, Ding H, Wang J. Reduction of haemoglobin is related to metal mixtures exposure in Chinese preschoolers: Joint effect models. J Trace Elem Med Biol 2024; 84:127427. [PMID: 38518386 DOI: 10.1016/j.jtemb.2024.127427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/02/2024] [Accepted: 03/03/2024] [Indexed: 03/24/2024]
Abstract
Heavy metal exposure is a known risk factor for hematologic disorders in children, yet the impact of co-exposure to multiple metals remains underexplored. This cross-sectional study investigates the relationship between urinary levels of 23 metals and haemoglobin (Hb) in 1460 Chinese preschoolers. The concentrations of the 23 urinary metals were quantified using an inductively coupled plasma mass spectrometer, while Hb levels were assessed through finger prick blood samples. To evaluate the co-exposure effects, we employed three approaches: Generalized linear regression model, joint effect models including Quantile g-Computation and Bayesian Kernel Machine Regression (BKMR). From the generalized linear regression and Quantile g-computation, urinary uranium, thallium, aluminium, iron and tungsten were correlated negatively with Hb, while urinary barium was correlated positively (all P < 0.05). Moreover, significant negative associations between metal mixtures exposure with Hb were identified in both Quantile g-computation [β (95% CI): -0.083 (-0.132, -0.033), P = 0.0012] and BKMR [90th percentile vs. 50th percentile β (95% CI): -0.238 (-0.368, -0.107), P < 0.001] with aluminium emerging as the primary contributor to this joint effect (weight in Quantile g-computation = 0.399, PIPs in BKMR = 0.896). These findings provide a potential explanation for environmental exposure to metals and Hb-related disease in preschoolers.
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Affiliation(s)
- Ye Fu
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China; Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Minghui He
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yang Liu
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Mingzhu Li
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Meiqin Zhu
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yan Wang
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China; Department of Clinical Laboratory, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Wei Lin
- Department of Endocrinology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Lili Yu
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Liting Yang
- Biomedical Research Institute of Hubei University of Medicine, Shiyan, Hubei, China
| | - Yao Zhang
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Yanli Liu
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China
| | - Hongxian Ji
- Department of Child Health, Maternal and Child Health Hospital, Shiyan, Hubei, China
| | - Hongcheng Ding
- Department of Endocrinology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
| | - Jing Wang
- Department of Preventive Medicine, School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China; Department of Endocrinology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
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Yu EX, Dou JF, Volk HE, Bakulski KM, Benke K, Hertz-Picciotto I, Schmidt RJ, Newschaffer CJ, Feinberg JI, Daniels J, Fallin MD, Ladd-Acosta C, Hamra GB. Prenatal Metal Exposures and Child Social Responsiveness Scale Scores in 2 Prospective Studies. ENVIRONMENTAL HEALTH INSIGHTS 2024; 18:11786302231225313. [PMID: 38317694 PMCID: PMC10840406 DOI: 10.1177/11786302231225313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/20/2023] [Indexed: 02/07/2024]
Abstract
Background Prenatal exposure to metals is hypothesized to be associated with child autism. We aim to investigate the joint and individual effects of prenatal exposure to urine metals including lead (Pb), mercury (Hg), manganese (Mn), and selenium (Se) on child Social Responsiveness Scale (SRS) scores. Methods We used data from 2 cohorts enriched for likelihood of autism spectrum disorder (ASD): Early Autism Risk Longitudinal Investigation (EARLI) and the Markers of Autism Risk in Babies-Learning Early Signs (MARBLES) studies. Metal concentrations were measured in urine collected during pregnancy. We used Bayesian Kernel Machine Regression and linear regression models to investigate both joint and independent associations of metals with SRS Z-scores in each cohort. We adjusted for maternal age at delivery, interpregnancy interval, maternal education, child race/ethnicity, child sex, and/or study site. Results The final analytic sample consisted of 251 mother-child pairs. When Pb, Hg, Se, and Mn were at their 75th percentiles, there was a 0.03 increase (95% credible interval [CI]: -0.11, 0.17) in EARLI and 0.07 decrease (95% CI: -0.29, 0.15) in MARBLES in childhood SRS Z-scores, compared to when all 4 metals were at their 50th percentiles. In both cohorts, increasing concentrations of Pb were associated with increasing values of SRS Z-scores, fixing the other metals to their 50th percentiles. However, all the 95% credible intervals contained the null. Conclusions There were no clear monotonic associations between the overall prenatal metal mixture in pregnancy and childhood SRS Z-scores at 36 months. There were also no clear associations between individual metals within this mixture and childhood SRS Z-scores at 36 months. The overall effects of the metal mixture and the individual effects of each metal within this mixture on offspring SRS Z-scores might be heterogeneous across child sex and cohort. Further studies with larger sample sizes are warranted.
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Affiliation(s)
- Emma X Yu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John F Dou
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Heather E Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kelly M Bakulski
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA, USA
| | - Craig J Newschaffer
- Department of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, University Park, PA, USA
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA
| | - Jason Daniels
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA
| | | | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ghassan B Hamra
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Issah I, Duah MS, Arko-Mensah J, Bawua SA, Agyekum TP, Fobil JN. Exposure to metal mixtures and adverse pregnancy and birth outcomes: A systematic review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168380. [PMID: 37963536 DOI: 10.1016/j.scitotenv.2023.168380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/04/2023] [Accepted: 11/04/2023] [Indexed: 11/16/2023]
Abstract
BACKGROUND Prenatal exposure to metal mixtures is associated with adverse pregnancy and birth outcomes like low birth weight, preterm birth, and small for gestational age. However, prior studies have used individual metal analysis, lacking real-life exposure scenarios. OBJECTIVES This systematic review aims to evaluate the strength and consistency of the association between metal mixtures and pregnancy and birth outcomes, identify research gaps, and inform future studies and policies in this area. METHODS The review adhered to the updated Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) checklist, along with the guidelines for conducting systematic reviews and meta-analyses of observational studies of etiology (COSMOS-E). Our data collection involved searching the PubMed, MEDLINE, and SCOPUS databases. We utilized inclusion criteria to identify relevant studies. These chosen studies underwent thorough screening and data extraction procedures. Methodological quality evaluations were conducted using the NOS framework for cohort and case-control studies, and the AXIS tool for cross-sectional studies. RESULTS The review included 34 epidemiological studies, half of which focused on birth weight, and the others investigated neonate size, preterm birth, small for gestational age, miscarriage, and placental characteristics. The findings revealed significant associations between metal mixtures (including mercury (Hg), nickel (Ni), arsenic (As), cadmium (Cd), manganese (Mn), cobalt (Co), lead (Pb), zinc (Zn), barium (Ba), cesium (Cs), copper (Cu), selenium (Se), and chromium (Cr)) and adverse pregnancy and birth outcomes, demonstrating diverse effects and potential interactions. CONCLUSION In conclusion, this review consistently establishes connections between metal exposure during pregnancy and adverse consequences for birth weight, gestational age, and other vital birth-related metrics. This review further demonstrates the need to apply mixture methods with caution but also shows that they can be superior to traditional approaches. Further research is warranted to deeper understand the underlying mechanisms and to develop effective strategies for mitigating the potential risks associated with metal mixture exposure during pregnancy.
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Affiliation(s)
- Ibrahim Issah
- West Africa Center for Global Environmental & Occupational Health, College of Health Sciences, University of Ghana, Legon, Accra, Ghana; Department of Surgery, Tamale Teaching Hospital, Tamale, Ghana.
| | - Mabel S Duah
- West Africa Center for Global Environmental & Occupational Health, College of Health Sciences, University of Ghana, Legon, Accra, Ghana; Department of Biological, Environmental and Occupational Health, School of Public Health, College of Health Sciences, University of Ghana, Legon, Accra, Ghana; West African Center for Cell Biology of Infectious Pathogens, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana
| | - John Arko-Mensah
- West Africa Center for Global Environmental & Occupational Health, College of Health Sciences, University of Ghana, Legon, Accra, Ghana; Department of Biological, Environmental and Occupational Health, School of Public Health, College of Health Sciences, University of Ghana, Legon, Accra, Ghana
| | - Serwaa A Bawua
- West Africa Center for Global Environmental & Occupational Health, College of Health Sciences, University of Ghana, Legon, Accra, Ghana; Department of Biological, Environmental and Occupational Health, School of Public Health, College of Health Sciences, University of Ghana, Legon, Accra, Ghana
| | - Thomas P Agyekum
- Department of Occupational and Environmental Health and Safety, School of Public Health, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi 00233, Ghana
| | - Julius N Fobil
- West Africa Center for Global Environmental & Occupational Health, College of Health Sciences, University of Ghana, Legon, Accra, Ghana; Department of Biological, Environmental and Occupational Health, School of Public Health, College of Health Sciences, University of Ghana, Legon, Accra, Ghana
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Zhao L, Li T, Wang H, Fan YM, Xiao Y, Wang X, Wang S, Sun P, Wang P, Jiangcuo Z, Tong L, Wang L, Peng W. Association of co-exposure to metal(loid)s during pregnancy with birth outcomes in the Tibetan plateau. CHEMOSPHERE 2023; 342:140144. [PMID: 37704082 DOI: 10.1016/j.chemosphere.2023.140144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 09/08/2023] [Accepted: 09/09/2023] [Indexed: 09/15/2023]
Abstract
Maternal metal (loid)s exposure has been related to birth outcomes but the results are still inconclusive. Most previous studies have discussed the single metal (loid)s, neglecting the scene of co-exposure. We examined the associations of both single metal (loid)s and metal mixtures with birth outcomes in a birth cohort from the Tibetan Plateau, including body weight, body length, head circumference, small for gestational age (SGA), and Ponderal index (PI). In our analysis of 1069 women, we measured 29 metal (loid)s in urine samples in the third trimester. The associations of single metal (loid)s with categorical or continuous birth outcomes were evaluated using a generalized linear mixed-effects model or linear mixed-effects model, respectively. The least absolute shrinkage and selection operator, Bayesian kernel machine, and Quantile g-computation regression were used to explore the joint association. We also evaluated the interactive effects of ethnicity and altitude on the effect of metal (loid)s on birth outcomes. Copper (Cu) concentration in maternal urine was positively associated with SGA, birth weight, birth length, and head circumference in the single pollutant models. For instance, Cu was associated with an increased risk of SGA [OR (95% CI) = 1.56 (1.23, 1.97); P < 0.001]. We didn't find significant joint association of metal mixtures with birth outcomes except a positive association between the mixture of Cu, Magnesium (Mg), and Iron (Fe) with the risk of SGA when the exposure level was above its 80th percentile, and Cu dominated the adverse association in a non-linear manner. Living altitude modified the associations of Cu with SGA and the positive association was only found in participants living at high altitude. In conclusion, maternal urinary metal (loid)s, especially Cu, was the dominant harmful metal (loid)s when associated with SGA on the Tibetan Plateau.
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Affiliation(s)
- Lei Zhao
- Department of Public Health, Nutrition and Health Promotion Center, Medical College, Qinghai University, Xining, China
| | - Tiemei Li
- Department of Public Health, Nutrition and Health Promotion Center, Medical College, Qinghai University, Xining, China
| | - Haijing Wang
- Department of Public Health, Nutrition and Health Promotion Center, Medical College, Qinghai University, Xining, China
| | - Yue-Mei Fan
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Yuancan Xiao
- Qinghai Provincial Key Laboratory of Tibetan Medicine Pharmacology and Safety Evaluation, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, China
| | - Xuejun Wang
- Department of Anesthesiology, Qinghai Red Cross Hospital, Xining, China
| | - Shulin Wang
- Department of Public Health, Nutrition and Health Promotion Center, Medical College, Qinghai University, Xining, China
| | - Pin Sun
- Department of Occupational Health and Toxicology, School of Public Health, Fudan University, Shanghai, China
| | - Pinhua Wang
- Department of Obstetrics and Gynecology, Qinghai Red Cross Hospital, Xining, China
| | | | - Li Tong
- Department of Traditional Chinese Medicine, Medical College of Qinghai University, Xining, China; Qinghai Provincial Key Laboratory of Traditional Chinese Medicine Research for Glucolipid Metabolic Diseases, Medical College, Qinghai University, Qinghai, China
| | - Liehong Wang
- Department of Obstetrics and Gynecology, Qinghai Red Cross Hospital, Xining, China.
| | - Wen Peng
- Department of Public Health, Nutrition and Health Promotion Center, Medical College, Qinghai University, Xining, China; Qinghai Provincial Key Laboratory of Traditional Chinese Medicine Research for Glucolipid Metabolic Diseases, Medical College, Qinghai University, Qinghai, China.
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Borghese MM, Fisher M, Ashley-Martin J, Fraser WD, Trottier H, Lanphear B, Johnson M, Helewa M, Foster W, Walker M, Arbuckle TE. Individual, Independent, and Joint Associations of Toxic Metals and Manganese on Hypertensive Disorders of Pregnancy: Results from the MIREC Canadian Pregnancy Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:47014. [PMID: 37079392 PMCID: PMC10117658 DOI: 10.1289/ehp10825] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
BACKGROUND Toxic metals, such as lead (Pb), cadmium (Cd), arsenic (As), and mercury (Hg), may be associated with a higher risk of gestational hypertension and preeclampsia, whereas manganese (Mn) is an essential metal that may be protective. OBJECTIVES We estimated the individual, independent, and joint associations of Pb, Cd, As, Hg, and Mn on the risk of developing gestational hypertension and preeclampsia in a cohort of Canadian women. METHODS Metal concentrations were analyzed in first and third trimester maternal blood (n=1,560). We measured blood pressure after 20 wk gestation to diagnose gestational hypertension, whereas proteinuria and other complications defined preeclampsia. We estimated individual and independent (adjusted for coexposure) relative risks (RRs) for each doubling of metal concentrations and examined interactions between toxic metals and Mn. We used quantile g-computation to estimate the joint effect of trimester-specific exposures. RESULTS Each doubling of third trimester Pb (RR=1.54; 95% CI: 1.06, 2.22) and first trimester blood As (RR=1.25; 95% CI: 1.01, 1.58) was independently associated with a higher risk of developing preeclampsia. First trimester blood As (RR=3.40; 95% CI: 1.40, 8.28) and Mn (RR=0.63; 95% CI: 0.42, 0.94) concentrations were associated with a higher and lower risk, respectively, of developing gestational hypertension. Mn modified the association with As such that the deleterious association with As was stronger at lower concentrations of Mn. First trimester urinary dimethylarsinic acid concentrations were not associated with gestational hypertension (RR=1.31; 95% CI: 0.60, 2.85) or preeclampsia (RR=0.92; 95% CI: 0.68, 1.24). We did not observe overall joint effects for blood metals. DISCUSSION Our results confirm that even low blood Pb concentrations are a risk factor for preeclampsia. Women with higher blood As concentrations combined with lower Mn in early pregnancy were more likely to develop gestational hypertension. These pregnancy complications impact maternal and neonatal health. Understanding the contribution of toxic metals and Mn is of public health importance. https://doi.org/10.1289/EHP10825.
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Affiliation(s)
- Michael M. Borghese
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Mandy Fisher
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Jillian Ashley-Martin
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - William D. Fraser
- Department of Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | - Helen Trottier
- Department of Social and Preventive Medicine, Université de Montreal, Montreal, Quebec, Canada
| | - Bruce Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Markey Johnson
- Water and Air Quality Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Michael Helewa
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Warren Foster
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada
| | - Mark Walker
- Department of Obstetrics, Gynecology, University of Ottawa, Ottawa, Ontario, Canada
| | - Tye E. Arbuckle
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
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Dai L, Deng L, Wang W, Li Y, Wang L, Liang T, Liao X, Cho J, Sonne C, Shiung Lam S, Rinklebe J. Potentially toxic elements in human scalp hair around China's largest polymetallic rare earth ore mining and smelting area. ENVIRONMENT INTERNATIONAL 2023; 172:107775. [PMID: 36739854 DOI: 10.1016/j.envint.2023.107775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/02/2023] [Accepted: 01/22/2023] [Indexed: 06/18/2023]
Abstract
There is a growing concern about human health of residents living in areas where mining and smelting occur. In order to understand the exposure to the potentially toxic elements (PTEs), we here identify and examine the cadmium (Cd), chromium (Cr), copper (Cu), manganese (Mn), nickel (Ni), lead (Pb) and zinc (Zn) in scalp hair of residents living in the mining area (Bayan Obo, n = 76), smelting area (Baotou, n = 57) and a reference area (Hohhot, n = 61). In total, 194 hair samples were collected from the volunteers (men = 87, women = 107) aged 5-77 years old in the three areas. Comparing median PTEs levels between the young and adults, Ni levels were significantly higher in adults living in the smelting area while Cr was highest in adults from the mining area, no significant difference was found for any of the elements in the reference area. From the linear regression model, no significant relationship between PTEs concentration, log10(PTEs), and age was found. The concentrations of Ni, Cd, and Pb in hair were significantly lower in the reference area when compared to both mining and smelting areas. In addition, Cu was significantly higher in the mining area when compared to the smelting area. Factor analysis (FA) indicated that men and women from the smelting area (Baotou) and mining area (Bayan Obo), respectively, had different underlying communality of log10(PTEs), suggesting different sources of these PTEs. Multiple factor analysis quantilized the importance of gender and location when combined with PTEs levels in human hair. The results of this study indicate that people living in mining and/or smelting areas have significantly higher PTEs (Cu, Ni, Cd, and Pb) hair levels compared to reference areas, which may cause adverse health effects. Remediation should therefore be implemented to improve the health of local residents in the mining and smelting areas.
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Affiliation(s)
- Lijun Dai
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Li Deng
- Ecological Environment Planning and Environmental Protection Technology Center of Qinghai Province, Xining 810007, China
| | - Weili Wang
- Key Laboratory of Global Change and Marine Atmospheric Chemistry, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - You Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Ecological Environment Planning and Environmental Protection Technology Center of Qinghai Province, Xining 810007, China; University of Wuppertal, School of Architecture and Civil Engineering, Institute of Foundation Engineering, Water- and Waste-Management, Soil- and Groundwater-Management, Pauluskirchstraße 7, 42285 Wuppertal, Germany.
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaoyong Liao
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Jinwoo Cho
- Department of Environment, Department of Environment and Energy, Sejong University, Seoul 05006, Republic of Korea
| | - Christian Sonne
- Department of Ecoscience, Arctic Research Centre (ARC), Aarhus University, Frederiksborgvej 399, PO Box 358, DK-4000 Roskilde, Denmark; Sustainability Cluster, School of Engineering, University of Petroleum & Energy Studies, Dehradun, Uttarakhand 248007, India
| | - Su Shiung Lam
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia; Center for Transdisciplinary Research, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; University Centre for Research and Development, Department of Chemistry, Chandigarh University, Gharuan, Mohali, Punjab, India
| | - Jörg Rinklebe
- University of Wuppertal, School of Architecture and Civil Engineering, Institute of Foundation Engineering, Water- and Waste-Management, Soil- and Groundwater-Management, Pauluskirchstraße 7, 42285 Wuppertal, Germany; Department of Environment, Department of Environment and Energy, Sejong University, Seoul 05006, Republic of Korea
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8
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Michael T, Kohn E, Daniel S, Hazan A, Berkovitch M, Brik A, Hochwald O, Borenstein-Levin L, Betser M, Moskovich M, Livne A, Keidar R, Rorman E, Groisman L, Weiner Z, Rabin AM, Solt I, Levy A. Prenatal exposure to heavy metal mixtures and anthropometric birth outcomes: a cross-sectional study. Environ Health 2022; 21:139. [PMID: 36581953 PMCID: PMC9798586 DOI: 10.1186/s12940-022-00950-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Numerous studies have suggested significant associations between prenatal exposure to heavy metals and newborn anthropometric measures. However, little is known about the effect of various heavy metal mixtures at relatively low concentrations. Hence, this study aimed to investigate associations between prenatal exposures to a wide range of individual heavy metals and heavy metal mixtures with anthropometric measures of newborns. METHODS We recruited 975 mother-term infant pairs from two major hospitals in Israel. Associations between eight heavy metals (arsenic, cadmium, chromium, mercury, nickel, lead, selenium, and thallium) detected in maternal urine samples on the day of delivery with weight, length, and head circumference at birth were estimated using linear and Bayesian kernel machine regression (BKMR) models. RESULTS Most heavy metals examined in our study were observed in lower concentrations than in other studies, except for selenium. In the linear as well as the BKMR models, birth weight and length were negatively associated with levels of chromium. Birth weight was found to be negatively associated with thallium and positively associated with nickel. CONCLUSION By using a large sample size and advanced statistical models, we could examine the association between prenatal exposure to metals in relatively low concentrations and anthropometric measures of newborns. Chromium was suggested to be the most influential metal in the mixture, and its associations with birth weight and length were found negative. Head circumference was neither associated with any of the metals, yet the levels of metals detected in our sample were relatively low. The suggested associations should be further investigated and could shed light on complex biochemical processes involved in intrauterine fetal development.
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Affiliation(s)
- Tal Michael
- Department of Epidemiology, Biostatistics, and Community Health Sciences, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev Beer-Sheva, Beersheba, Israel
| | - Elkana Kohn
- Clinical Pharmacology and Toxicology Unit, Pediatric Division, Shamir (Assaf Harofeh) Medical Center, and Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Sharon Daniel
- Department of Epidemiology, Biostatistics, and Community Health Sciences, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev Beer-Sheva, Beersheba, Israel
- Clalit Health Services, Southern District, Beer-Sheva, Israel
| | - Ariela Hazan
- Clinical Pharmacology and Toxicology Unit, Pediatric Division, Shamir (Assaf Harofeh) Medical Center, and Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Matitiahu Berkovitch
- Clinical Pharmacology and Toxicology Unit, Pediatric Division, Shamir (Assaf Harofeh) Medical Center, and Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Anna Brik
- Clinical Pharmacology and Toxicology Unit, Pediatric Division, Shamir (Assaf Harofeh) Medical Center, and Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Ori Hochwald
- Neonatal Intensive Care Unit, Rambam Health Care Campus, and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel
| | - Liron Borenstein-Levin
- Neonatal Intensive Care Unit, Rambam Health Care Campus, and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel
| | - Moshe Betser
- Delivery Rooms and Maternity Ward, Shamir (Assaf Harofeh) Medical Center, and Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Miki Moskovich
- Delivery Rooms and Maternity Ward, Shamir (Assaf Harofeh) Medical Center, and Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Ayelet Livne
- Neonatal Intensive Care Unit, Shamir (Assaf Harofeh) Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Rimona Keidar
- Neonatal Intensive Care Unit, Shamir (Assaf Harofeh) Medical Center, Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Efrat Rorman
- National Public Health Laboratory, Ministry of Health, Tel-Aviv, Israel
| | - Luda Groisman
- National Public Health Laboratory, Ministry of Health, Tel-Aviv, Israel
| | - Zeev Weiner
- Department of Obstetrics and Gynecology, Rambam Health Care Campus and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, POB 9602, 31096, Haifa, Israel
| | - Adi Malkoff Rabin
- Department of Obstetrics and Gynecology, Rambam Health Care Campus and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, POB 9602, 31096, Haifa, Israel
| | - Ido Solt
- Department of Obstetrics and Gynecology, Rambam Health Care Campus and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, POB 9602, 31096, Haifa, Israel.
| | - Amalia Levy
- Department of Epidemiology, Biostatistics, and Community Health Sciences, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev Beer-Sheva, Beersheba, Israel
- Environment and Health Epidemiology Research Center, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
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9
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Wang Z, Huang S, Zhang W, Zeng X, Chu C, Li Q, Cui X, Wu Q, Dong G, Huang J, Liu L, Tan W, Shang X, Kong M, Deng F. Chemical element concentrations in cord whole blood and the risk of preterm birth for pregnant women in Guangdong, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 247:114228. [PMID: 36306619 DOI: 10.1016/j.ecoenv.2022.114228] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 10/21/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Maternal exposure to chemical elements, including essential and non-essential elements, have been found to be associated with preterm births (PTB). However, few studies have measured element concentrations in cord whole blood, which reflects activity at the maternal-fetal interface and may be biologically associated with PTBs. In this study, we determined concentrations of 21 elements in cord whole blood and explored the associations between element concentrations and PTB in a nested case-control study within a birth cohort in Guangdong, China. Finally, 515 preterm infants and 595 full-term infants were included. We performed single-element and multi-element logistic regressions to evaluate linear relationships between element concentrations and PTB. According to the results of single-element models, most essential elements (including K, Ca, Si, Zn, Se, Sr and Fe) were negatively associated with PTB, while Cu, V, Co and Sn were positively associated with PTB. Of the non-essential elements, Sb, Tl, and U were positively associated with PTB, while Pb was negatively associated with PTB. The multi-element model results for most elements were similar, except that the association between Mg and PTB was shown to be significantly positive, and the association for Cu became much larger. A possible explanation is that the effects of Mg and Cu may be influenced by other elements. We performed restricted cubic spline (RCS) regressions and found significantly non-linear exposure-response relationships for Mg, Se, Sr, K and Sb, indicating that the effects of these elements on PTB are not simply detrimental or beneficial. We also examined the joint effect using a Bayesian kernel machine regression (BKMR) model and found the risk of PTB decreased significantly with element mixture concentration when lnC was larger than the median. Bivariate interaction analysis suggested antagonistic effects of Sb on Zn and Sr, which may be attributed to Sb negating the antioxidant capacity of Zn and Sr. This study provides additional evidence for the effect of element exposures on PTB, and will have implications for the prevention of excessive exposures or inappropriate element supplementation during pregnancy.
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Affiliation(s)
- Zhaokun Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Shaodan Huang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Wenlou Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Xiaowen Zeng
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Chu Chu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qingqing Li
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xinxin Cui
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qizhen Wu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guanghui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jinbo Huang
- Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of Maoming City, Maoming 525000, China
| | - Liling Liu
- Department of Reproductive Medicine and Genetics Center. The People's Hospital of Guangxi Zhuang Autonomous Region, 6 Taoyuan Road, Nanning, 530016, Guangxi, China
| | - Weihong Tan
- Department of Reproductive Medicine and Genetics Center. The People's Hospital of Guangxi Zhuang Autonomous Region, 6 Taoyuan Road, Nanning, 530016, Guangxi, China
| | - Xuejun Shang
- Department of Andrology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, 210002, China
| | - Minli Kong
- Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of Maoming City, Maoming 525000, China.
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
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10
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Guo X, Li N, Wang H, Su W, Song Q, Liang Q, Liang M, Sun C, Li Y, Lowe S, Bentley R, Song EJ, Zhou Q, Ding X, Sun Y. Combined exposure to multiple metals on cardiovascular disease in NHANES under five statistical models. ENVIRONMENTAL RESEARCH 2022; 215:114435. [PMID: 36174761 DOI: 10.1016/j.envres.2022.114435] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 09/13/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND It is well-documented that heavy metals are associated with cardiovascular disease (CVD). However, there is few studies exploring effect of metal mixture on CVD. Therefore, the primary objective of present study was to investigate the joint effect of heavy metals on CVD and to identify the most influential metals in the mixture. METHODS Original data for study subjects were obtained from the National Health and Nutrition Examination Survey. In this study, adults with complete data on 12 kinds of urinary metals (antimony, arsenic, barium, cadmium, cobalt, cesium, molybdenum, mercury, lead, thallium, tungsten, and uranium), cardiovascular disease, and core covariates were enrolled. We applied five different statistical strategies to examine the CVD risk with metal exposure, including multivariate logistic regression, adaptive elastic net combined with Environmental Risk Score, Quantile g-computation, Weighted Quantile Sum regression, and Bayesian kernel machine regression. RESULTS Higher levels of cadmium, tungsten, cobalt, and antimony were significantly associated with Increased risk of CVD when covariates were adjusted for multivariate logistic regression. The results from multi-pollutant strategies all indicated that metal mixture was positively associated with the risk of CVD. Based on the results of multiple statistical strategies, it was determined that cadmium, tungsten, cobalt, and antimony exhibited the strongest positive correlations, whereas barium, lead, molybdenum, and thallium were most associated with negative correlations. CONCLUSION Overall, our study demonstrates that exposure to heavy metal mixture is linked to a higher risk of CVD. Meanwhile, this association may be driven primarily by cadmium, tungsten, cobalt, and antimony. Further prospective studies are warranted to validate or refute our primary findings as well as to identify other important heavy metals linked with CVD.
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Affiliation(s)
- Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Yaru Li
- Internal Medicine, Swedish Hospital, 5140 N California Ave, Chicago, IL, 60625, USA
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Rachel Bentley
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Evelyn J Song
- Division of Hospital Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Qin Zhou
- Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China; Chaohu Hospital, Anhui Medical University, Hefei, 238006, Anhui, PR China.
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11
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Cathey AL, Watkins DJ, Rosario ZY, Vélez C, Mukherjee B, Alshawabkeh AN, Cordero JF, Meeker JD. Biomarkers of Exposure to Phthalate Mixtures and Adverse Birth Outcomes in a Puerto Rico Birth Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:37009. [PMID: 35333099 PMCID: PMC8953418 DOI: 10.1289/ehp8990] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND Humans are exposed to complex mixtures of phthalate chemicals from a range of consumer products. Previous studies have reported significant associations between individual phthalate metabolites and pregnancy outcomes, but mixtures research is limited. OBJECTIVES We used the Puerto Rico Testsite for Exploring Contamination Threats longitudinal pregnancy cohort to investigate associations between phthalate metabolite mixtures and pregnancy outcomes. METHODS Women (n=462 carrying females, n=540 carrying males) provided up to three urine samples throughout gestation (median 18, 22, and 26 wk), which were analyzed for 13 phthalate metabolites. Pregnancy outcomes including preterm birth (PTB), spontaneous PTB, small and large for gestational age (SGA, LGA), birth weight z-score, and gestational age at delivery were abstracted from medical records. Environmental risk scores (ERS) were calculated as a weighted linear combination of the phthalates from ridge regression and adaptive elastic net, which are variable selection methods to handle correlated predictors. Birth outcomes were regressed on continuous ERS. We assessed gestational average and visit-specific ERS and stratified all analyses by fetal sex. Finally, we used Bayesian kernel machine regression (BKMR) to explore nonlinear associations and interactions between metabolites. RESULTS Differences in metabolite weights from ridge and elastic net were apparent between birth outcomes and between fetal sexes. An interquartile range increase in gestational average phthalate ERS was associated with increased odds of PTB [male odds ratio (OR)=1.56; 95% confidence interval (CI): 1.08, 2.27; female OR=1.91; 95% CI: 1.23, 2.98], spontaneous PTB (male OR=2.32; 95% CI: 1.46, 3.68; female OR=2.00; 95% CI: 1.04, 3.82), and reduced gestational age at birth (male β=-0.39 wk, 95% CI: -0.62, -0.15; female β=-0.29 wk, 95% CI: -0.52, -0.05). Analyses by study visit suggested that exposure at ∼22 wk (range 20-24 wk) was driving those associations. Bivariate plots from BKMR analysis revealed some nonlinear associations and metabolite interactions that were different between fetal sexes. DISCUSSION These results suggest that exposure to phthalate mixtures was associated with increased risk of early delivery and highlight the need to study mixtures by fetal sex. We also identified various metabolites displaying nonlinear relationships with measures of birth weight. https://doi.org/10.1289/EHP8990.
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Affiliation(s)
- Amber L Cathey
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Deborah J Watkins
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Zaira Y Rosario
- Graduate School of Public Health, University of Puerto Rico, San Juan, Puerto Rico, USA
| | - Carmen Vélez
- Graduate School of Public Health, University of Puerto Rico, San Juan, Puerto Rico, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | | | - José F Cordero
- College of Public Health, University of Georgia, Athens, Georgia, USA
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
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12
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Zhao M, Ge X, Xu J, Li A, Mei Y, Zhao J, Zhou Q, Liu X, Wei L, Xu Q. Negatively interactive effect of chromium and cadmium on obesity: Evidence from adults living near ferrochromium factory. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 231:113196. [PMID: 35051768 DOI: 10.1016/j.ecoenv.2022.113196] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/08/2022] [Accepted: 01/10/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Researchers have reported that chromium (Cr) exposure may be associated with metabolism of glucose and lipids in residents living in a long-term Cr polluted area. Previous statistical analysis is mainly focused on individual chromium exposure. Furtherly, we aim to investigated the independent, combined, and interaction effects of the co-exposure of urine Cr (UCr) with cadmium (UCd), lead (UPb) and manganese (UMn) on body mass index (BMI), waist circumference, and the risk of overweight and abdominal obesity. METHOD We enrolled 1187 participants from annual surveys between 2017 and 2019. Heavy metal concentrations in urine were standardized using covariate-adjusted urine creatinine levels. Multiple linear/logistic regression models were applied to measure the single effect of urine heavy metal concentration on the outcomes. The quantile-based g-computation (g-comp) model was used to evaluate the combined effect of metal mixture on the outcomes and to compare the contribution of each metal. Both additive and multiplicative interactions were measured for UCr with UCd, UPb, UMn on the outcomes. Analysis was performed on the overall population and stratified by smoking habit. RESULTS For the overall study population, UCr was positively associated with BMI (p trend = 0.023) and waist circumference (p trend = 0.018). For smoking participants, the g-comp model demonstrated that the metal mixture was negatively associated with BMI, with UCr and UCd contributing the most in the positive and negative direction. A negative additive interaction was observed between UCr and UCd on BMI and abdominal obesity. We did not observe a significant interaction effect of UCr with UPb or UMn. CONCLUSION Our study indicated that Cr and Cd exposure may be associated with BMI and waist circumference, with combined and interaction effects of the heavy metals noted. Further epidemiological and experimental researches could simultaneously consider single and complex mixed exposure to verify the findings and biological mechanisms.
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Affiliation(s)
- Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Xiaolin Liu
- Department of Epidemiology and Biostatistics, Jinzhou Medical University, Jinzhou 121001, Liaoning, China
| | - Lanping Wei
- Jinzhou Central Hospital, Jinzhou 121001, Liaoning, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China.
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