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Martenies SE, Oloo A, Magzamen S, Ji N, Khalili R, Kaur S, Xu Y, Yang T, Bastain TM, Breton CV, Farzan SF, Habre R, Dabelea D. Independent and joint effects of neighborhood-level environmental and socioeconomic exposures on body mass index in early childhood: The environmental influences on child health outcomes (ECHO) cohort. ENVIRONMENTAL RESEARCH 2024; 253:119109. [PMID: 38751004 DOI: 10.1016/j.envres.2024.119109] [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: 11/07/2023] [Revised: 04/19/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024]
Abstract
Past studies support the hypothesis that the prenatal period influences childhood growth. However, few studies explore the joint effects of exposures that occur simultaneously during pregnancy. To explore the feasibility of using mixtures methods with neighborhood-level environmental exposures, we assessed the effects of multiple prenatal exposures on body mass index (BMI) from birth to age 24 months. We used data from two cohorts: Healthy Start (n = 977) and Maternal and Developmental Risks from Environmental and Social Stressors (MADRES; n = 303). BMI was measured at delivery and 6, 12, and 24 months and standardized as z-scores. We included variables for air pollutants, built and natural environments, food access, and neighborhood socioeconomic status (SES). We used two complementary statistical approaches: single-exposure linear regression and quantile-based g-computation. Models were fit separately for each cohort and time point and were adjusted for relevant covariates. Single-exposure models identified negative associations between NO2 and distance to parks and positive associations between low neighborhood SES and BMI z-scores for Healthy Start participants; for MADRES participants, we observed negative associations between O3 and distance to parks and BMI z-scores. G-computations models produced comparable results for each cohort: higher exposures were generally associated with lower BMI, although results were not significant. Results from the g-computation models, which do not require a priori knowledge of the direction of associations, indicated that the direction of associations between mixture components and BMI varied by cohort and time point. Our study highlights challenges in assessing mixtures effects at the neighborhood level and in harmonizing exposure data across cohorts. For example, geospatial data of neighborhood-level exposures may not fully capture the qualities that might influence health behavior. Studies aiming to harmonize geospatial data from different geographical regions should consider contextual factors when operationalizing exposure variables.
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Affiliation(s)
- Sheena E Martenies
- Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL, USA; Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA; Family Resiliency Center, University of Illinois Urbana-Champaign, Urbana, IL, USA.
| | - Alice Oloo
- Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Sheryl Magzamen
- Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Nan Ji
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roxana Khalili
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Simrandeep Kaur
- Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Yan Xu
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Tingyu Yang
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Dana Dabelea
- Epidemiology, Colorado School of Public Health, Aurora, CO, USA; Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Cosemans C, Madhloum N, Sleurs H, Alfano R, Verheyen L, Wang C, Vanbrabant K, Vanpoucke C, Lefebvre W, Nawrot TS, Plusquin M. Prenatal particulate matter exposure is linked with neurobehavioural development in early life. ENVIRONMENTAL RESEARCH 2024; 252:118879. [PMID: 38579996 DOI: 10.1016/j.envres.2024.118879] [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: 10/16/2023] [Revised: 02/22/2024] [Accepted: 04/03/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Early life exposure to ambient particulate matter (PM) may negatively affect neurobehavioral development in children, influencing their cognitive, emotional, and social functioning. Here, we report a study on prenatal PM2.5 exposure and neurobehavioral development focusing on different time points in the first years of life. METHODS This study was part of the ENVIRONAGE birth cohort that follows mother-child pairs longitudinally. First, the Neonatal Behavioral Assessment Scale (NBAS) was employed on 88 newborns aged one to two months to assess their autonomic/physiological regulation, motor organisation, state organisation/regulation, and attention/social interaction. Second, our study included 393 children between the ages of four and six years, for which the Strengths and Difficulties Questionnaire (SDQ) was used to assess the children's emotional problems, hyperactivity, conduct problems, peer relationship, and prosocial behaviour. Prenatal PM2.5 exposure was determined using a high-resolution spatial-temporal method based on the maternal address. Multiple linear and multinomial logistic regression models were used to analyse the relationship between prenatal PM2.5 exposure and neurobehavioral development in newborns and children, respectively. RESULTS A 5 μg/m³ increase in first-trimester PM2.5 concentration was associated with lower NBAS range of state cluster scores (-6.11%; 95%CI: -12.00 to -0.23%; p = 0.04) in one-to-two-month-old newborns. No other behavioural clusters nor the reflexes cluster were found to be associated with prenatal PM2.5 exposure. Furthermore, a 5 μg/m³ increment in first-trimester PM2.5 levels was linked with higher odds of a child experiencing peer problems (Odds Ratio (OR) = 3.89; 95%CI: 1.39 to 10.87; p = 0.01) at ages four to six. Additionally, a 5 μg/m³ increase in second-trimester PM2.5 concentration was linked to abnormal prosocial behaviour (OR = 0.49; 95%CI: 0.25 to 0.98; p = 0.04) at four to six years old. No associations were found between in utero PM2.5 exposure and hyperactivity or conduct problems. CONCLUSIONS Our findings suggest that prenatal exposure to PM may impact neurobehavioural development in newborns and preschool children. We identified sensitive time windows during early-to-mid pregnancy, possibly impacting stage changes in newborns and peer problems and prosocial behaviour in children.
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Affiliation(s)
- Charlotte Cosemans
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Narjes Madhloum
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium; Faculty of Medicine and Life Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Hanne Sleurs
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Lore Verheyen
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Congrong Wang
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Kenneth Vanbrabant
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Charlotte Vanpoucke
- Belgian Interregional Environment Agency, IRCEL-CELINE, Gaucheretstraat 92-94, 1030, Brussels, Belgium
| | - Wouter Lefebvre
- Flemish Institute for Technological Research, VITO, Boeretang 200, 2400, Mol, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium; School of Public Health, Occupational & Environmental Medicine, Leuven University, Oude Markt 13, 3000, Leuven, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium.
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Chen M, Strodl E, Yang W, Yin X, Wen G, Sun D, Xian D, Zhao Y, Chen W. Independent and Joint Effects of Prenatal Incense-Burning Smoke Exposure and Children's Early Outdoor Activity on Preschoolers' Obesity. TOXICS 2024; 12:329. [PMID: 38787109 PMCID: PMC11126066 DOI: 10.3390/toxics12050329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/18/2024] [Accepted: 04/29/2024] [Indexed: 05/25/2024]
Abstract
Incense burning is a significant source of indoor air pollution in many Asian regions. There is emerging evidence that maternal prenatal exposure to incense-burning smoke may be a risk factor for childhood obesity. We aimed to extend this new line of research by investigating the independent and joint effect of incense-burning smoke exposure, and children's outdoor activity in early life, on preschoolers' obesity. A total of 69,637 mother-child dyads were recruited from all kindergartens in the Longhua District of Shenzhen, China. Information on sociodemographic characteristics, maternal exposure to incense-burning smoke (IBS) during pregnancy, and frequency and duration of outdoor activity at the age of 1-3 years was collected by a self-administered questionnaire. In addition, the heights and weights of the children were measured by the research team. Logistic regression models and cross-over analyses were conducted to investigate the independent and combined effects of maternal exposure to incense-burning smoke during pregnancy and children's early outdoor activity on obesity in preschoolers. We found that prenatal exposure to incense-burning smoke increased the risk of the presence of obesity in preschoolers' (AOR = 1.13, 95% CI = 1.03-1.23). Additionally, lower frequencies (<3 times/week) or shorter durations (<60 min/time) of outdoor activity from the age of 1-3 years were significantly associated with the presence of obesity, with AORs of 1.24 (95% CI =1.18-1.32) and 1.11 (95% CI = 1.05-1.17), respectively. Furthermore, the cross-over analysis showed that prenatal exposure to IBS combined with a lower frequency of early outdoor activity (AOR = 1.47, 95% CI = 1.31-1.66) or a shorter duration of outdoor activity during ages of 1-3 years (AOR = 1.22, 95% CI = 1.07-1.39) increased the risk of obesity in preschoolers. Finally, additive interactions between prenatal exposure to IBS and postnatal outdoor activity on obesity were identified. Our study indicates that maternal exposure to incense-burning smoke during pregnancy and early lower postanal outdoor activity may independently and jointly increase the risk of obesity among preschoolers.
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Affiliation(s)
- Meimei Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China;
| | - Esben Strodl
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD 4059, Australia;
| | - Weikang Yang
- Women’s and Children’s Hospital of Longhua District of Shenzhen, Shenzhen 518110, China
| | - Xiaona Yin
- Women’s and Children’s Hospital of Longhua District of Shenzhen, Shenzhen 518110, China
| | - Guomin Wen
- Women’s and Children’s Hospital of Longhua District of Shenzhen, Shenzhen 518110, China
| | - Dengli Sun
- Women’s and Children’s Hospital of Longhua District of Shenzhen, Shenzhen 518110, China
| | - Danxia Xian
- Women’s and Children’s Hospital of Longhua District of Shenzhen, Shenzhen 518110, China
| | - Yafen Zhao
- Women’s and Children’s Hospital of Longhua District of Shenzhen, Shenzhen 518110, China
| | - Weiqing Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China;
- School of Health Management, Xinhua College of Guangzhou, Guangzhou 510080, China
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Zhou S, Li T, Han N, Zhang K, Chen G, Zhang Y, Li Q, Ji Y, Liu J, Wang H, Hu J, Liu T, Raat H, Guo Y, Wang H. The joint effects of prenatal exposure to PM 2.5 constituents and reduced fetal growth on children's accelerated growth in the first 3 years: a birth cohort study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00658-x. [PMID: 38532124 DOI: 10.1038/s41370-024-00658-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 02/26/2024] [Accepted: 03/05/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND Prenatal fine particulate matter (PM2.5) constituents exposure and reduced fetal growth may be risk factors for accelerated growth in early childhood, an important indicator for lifelong health. OBJECTIVE The study investigated whether the joint effects are present between PM2.5 constituents and reduced fetal growth. METHODS The study was embedded in a birth cohort in China, including 5424 mother-child pairs. Prenatal PM2.5 and its constituents' [organic carbon (OC), elementary carbon (EC), ammonium (NH4+), nitrate (NO3-), and sulfate (SO42-)] concentrations were estimated based on maternal residential addresses. Fetal growth was evaluated by fetal growth trajectory in utero and preterm birth (PTB), low birth weight (LBW), and small for gestational age (SGA). Children's accelerated growth was defined as body mass index (BMI) Z-score change of >0.67 between birth and 3 years. Generalized logistic regression was used to analyze the effects of prenatal PM2.5 constituents exposure and fetal growth on children's accelerated growth. Joint effect was tested on multiplicative scale and additive scale with the relative excess risk due to interaction (RERI). RESULTS Children with lower fetal growth trajectory, PTB, LBW, and SGA had increased odds of children's accelerated growth, with odds ratios (ORs) ranging from 1.704 to 11.605. Compared with lower exposure (≤median), higher exposure (>median) of PM2.5, OC, and SO42- were significantly associated with increased odds of children's accelerated growth, varying in ORs from 1.163 to 1.478. Prenatal exposure to OC had joint effects with lower fetal growth on children's accelerated growth. We observed that the interaction was statistically significant on an additive scale in OC and lower fetal growth trajectory (RERI: 0.497, 95% CI: 0.033,0.962). IMPACT Fine particulate matter (PM2.5) is a huge threat to human health worldwide, causing 6.7 million death globally in 2019. According to the theory of DOHaD, prenatal PM2.5 exposure could influence early childhood growth, which is important for lifelong health. We found that prenatal exposure to PM2.5, OC, and SO42- was associated with higher risk of accelerated childhood growth in the first 3 years. More importantly, reduced fetal growth moderated these associations. Our findings highlight the need for policies and interventions on PM2.5 constituents to improve lifelong health, especially for those vulnerable populations with reduced fetal growth.
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Affiliation(s)
- Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, 100191, Beijing, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 100021, Beijing, China
| | - Na Han
- Tongzhou Maternal and Child Health Care Hospital of Beijing, 101101, Beijing, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, NY, 12144, USA
| | - Gongbo Chen
- 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
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 100021, Beijing, China
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, 100191, Beijing, China
| | - Yuelong Ji
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, 100191, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 100191, Beijing, China
| | - Hui Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, 100191, Beijing, China
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Ting Liu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Hein Raat
- Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Haijun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, 100191, Beijing, China.
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Margetaki K, Bempi V, Michalaki E, Roumeliotaki T, Iakovides M, Stephanou E, Kogevinas M, Chatzi L, Vafeiadi M. Prenatal air pollution exposure and childhood obesity: Effect modification by maternal fruits and vegetables intake. Int J Hyg Environ Health 2024; 256:114314. [PMID: 38183793 DOI: 10.1016/j.ijheh.2023.114314] [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: 07/05/2023] [Revised: 12/14/2023] [Accepted: 12/20/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND & AIMS Prenatal exposure to air pollution is robustly associated with fetal growth restriction but the extent to which it is associated with postnatal growth and the risk of childhood obesity remains unknown. We examined the association of prenatal exposure to air pollution with offspring obesity related measures and evaluated the possible protective effect of maternal fruits and vegetables intake (FV). METHODS We included 633 mother-child pairs from the Rhea pregnancy cohort in Crete, Greece. Fine particles (PM2.5 and PM10) exposure levels during pregnancy were estimated using land-use regression models. We measured weight, height and waist circumference at 4 and 6 years of age, and body composition analysis was performed at 6 years using bioimpedance. Maternal diet was evaluated by means of a semi-quantitative food frequency questionnaire in mid-pregnancy. Adjusted associations were obtained via multivariable regression analyses and multiplicative interaction was used to evaluate the potential modifying role of FV intake. RESULTS Exposure to PMs in utero was not associated with measures of adiposity at 4 or 6 years of age. Associations at 4 years did not differ according to maternal consumption of FV. However, at 6 years, among children whose mothers reported consuming less than 5 servings of FV per day, one SD increase in PM10 during pregnancy was associated with increased BMI (beta 0.41 kg/m2, 95% CI: -0.06, 0.88, p-interaction = 0.037) and increased waist circumference (beta 0.83 cm, 95% CI: -0.38, 2.05, p-interaction = 0.043) and one SD increase in PM2.5 was associated with increased fat mass (beta 0.5 kg, 95% CI: 0.0, 0.99, p-interaction = 0.039) and increased percentage of body fat (beta 1.06%, 95% CI: -0.06, 2.17, p-interaction = 0.035). Similarly, higher prenatal PM2.5 and PM10 exposure was associated with increased risk for obesity and abdominal obesity at 6 years only in the low FV group. CONCLUSIONS Exposure to fine particulate matter during pregnancy was not associated with obesity-related measures at 4 and 6 years. However, only among offspring of mothers who consumed inadequate FV, we observed higher obesity-related measures at 6 years. Our results indicate that mothers' diet during pregnancy may play a role in the relationship between air-pollution and childhood obesity.
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Affiliation(s)
- Katerina Margetaki
- Clinic of Preventive Medicine and Nutrition, Faculty of Medicine, University of Crete, Greece.
| | - Vicky Bempi
- Clinic of Preventive Medicine and Nutrition, Faculty of Medicine, University of Crete, Greece
| | - Eirini Michalaki
- Clinic of Preventive Medicine and Nutrition, Faculty of Medicine, University of Crete, Greece
| | - Theano Roumeliotaki
- Clinic of Preventive Medicine and Nutrition, Faculty of Medicine, University of Crete, Greece
| | - Minas Iakovides
- Environmental Chemical Processes Laboratory (ECPL), Department of Chemistry, University of Crete, Greece
| | - Euripides Stephanou
- Environmental Chemical Processes Laboratory (ECPL), Department of Chemistry, University of Crete, Greece
| | - Manolis Kogevinas
- Barcelona Institute for Global Health (ISGlobal), Non-Communicable Diseases Programme, Barcelona, Spain; Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain; Hospital del Mar Research Institute (IMIM), Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Lida Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, USA
| | - Marina Vafeiadi
- Clinic of Preventive Medicine and Nutrition, Faculty of Medicine, University of Crete, Greece
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Friedman C, Dabelea D, Glueck DH, Allshouse WB, Adgate JL, Keller KP, Martenies SE, Magzamen S, Starling AP. Early-life exposure to residential black carbon and childhood cardiometabolic health. ENVIRONMENTAL RESEARCH 2023; 239:117285. [PMID: 37832765 PMCID: PMC10842121 DOI: 10.1016/j.envres.2023.117285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 09/08/2023] [Accepted: 09/30/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND Early life exposure to air pollution, such as particulate matter ≤2.5 μm (PM2.5), may be associated with obesity and adverse cardiometabolic health outcomes in childhood. However, the toxicity of PM2.5 varies according to its chemical composition. Black carbon (BC) is a constituent of PM2.5, but few studies have examined its impact on childhood cardiometabolic health. Therefore, we examined relationships between prenatal and early childhood exposure to BC and markers of adiposity and cardiometabolic health in early childhood. METHODS This study included 578 mother-child pairs enrolled in the Healthy Start study (2009-2014) living in the Denver-metro area. Using a spatiotemporal prediction model, we assessed average residential black carbon levels during pregnancy and in the year prior to the early childhood follow-up visit at approximately 5 years old. We estimated associations between prenatal and early childhood BC and indicators of adiposity and cardiometabolic biomarkers in early childhood (mean 4.8 years; range, 4.0, 8.3), using linear regression. RESULTS We found higher early childhood BC was associated with higher percent fat mass, fat mass index, insulin, and homeostatic model assessment for insulin resistance (HOMA-IR), and lower leptin and waist circumference at approximately 5 years old, after adjusting for covariates. For example, per interquartile range (IQR) increase in early childhood BC (IQR, 0.49 μg/m3) there was 3.32% higher fat mass (95% CI; 2.05, 4.49). Generally, we did not find consistent evidence of associations between prenatal BC and cardiometabolic health outcomes in early childhood, except for an inverse association between prenatal BC and adiponectin, an adipocyte-secreted hormone typically inversely associated with adiposity. CONCLUSIONS Higher early childhood, but not in utero, ambient concentrations of black carbon, a component of air pollution, were associated with greater adiposity and altered insulin homeostasis at approximately 5 years old. Future studies should examine whether these changes persist later in life.
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Affiliation(s)
- Chloe Friedman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kayleigh P Keller
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Sheena E Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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7
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Antonelli J, Wilson A, Coull BA. Multiple exposure distributed lag models with variable selection. Biostatistics 2023; 25:1-19. [PMID: 36073640 PMCID: PMC10724118 DOI: 10.1093/biostatistics/kxac038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 05/06/2022] [Accepted: 08/10/2022] [Indexed: 02/01/2023] Open
Abstract
Distributed lag models are useful in environmental epidemiology as they allow the user to investigate critical windows of exposure, defined as the time periods during which exposure to a pollutant adversely affects health outcomes. Recent studies have focused on estimating the health effects of a large number of environmental exposures, or an environmental mixture, on health outcomes. In such settings, it is important to understand which environmental exposures affect a particular outcome, while acknowledging the possibility that different exposures have different critical windows. Further, in studies of environmental mixtures, it is important to identify interactions among exposures and to account for the fact that this interaction may occur between two exposures having different critical windows. Exposure to one exposure early in time could cause an individual to be more or less susceptible to another exposure later in time. We propose a Bayesian model to estimate the temporal effects of a large number of exposures on an outcome. We use spike-and-slab priors and semiparametric distributed lag curves to identify important exposures and exposure interactions and discuss extensions with improved power to detect harmful exposures. We then apply these methods to estimate the effects of exposure to multiple air pollutants during pregnancy on birthweight from vital records in Colorado.
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Affiliation(s)
- Joseph Antonelli
- Department of Statistics, University of Florida, 102 Griffin-Floyd Hall, Gainesville, FL, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, 851 Oval Drive, Fort Collins, CO 80523, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
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Mork D, Kioumourtzoglou MA, Weisskopf M, Coull BA, Wilson A. Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution. J Am Stat Assoc 2023; 119:14-26. [PMID: 38835505 PMCID: PMC11147136 DOI: 10.1080/01621459.2023.2258595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 09/07/2023] [Indexed: 06/06/2024]
Abstract
Children's health studies support an association between maternal environmental exposures and children's birth outcomes. A common goal is to identify critical windows of susceptibility-periods during gestation with increased association between maternal exposures and a future outcome. The timing of the critical windows and magnitude of the associations are likely heterogeneous across different levels of individual, family, and neighborhood characteristics. Using an administrative Colorado birth cohort we estimate the individualized relationship between weekly exposures to fine particulate matter (PM 2.5) during gestation and birth weight. To achieve this goal, we propose a statistical learning method combining distributed lag models and Bayesian additive regression trees to estimate critical windows at the individual level and identify characteristics that induce heterogeneity from a high-dimensional set of potential modifying factors. We find evidence of heterogeneity in the PM 2.5 -birth weight relationship, with some mother-child dyads showing a 3 times larger decrease in birth weight for an IQR increase in exposure (5.9 to 8.5 PM 2.5 μg/m3) compared to the population average. Specifically, we find increased vulnerabilitity for non-Hispanic mothers who are either younger, have higher body mass index or lower educational attainment. Our case study is the first precision health study of critical windows.
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Affiliation(s)
- Daniel Mork
- Department of Biostatistics, Harvard T.H. Chan School of Public Health
| | | | - Marc Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health
| | - Ander Wilson
- Department of Statistics, Colorado State University
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9
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Zhou S, Li T, Han N, Zhang K, Zhang Y, Li Q, Ji Y, Liu J, Wang H, Hu J, Liu T, Raat H, Wang H. Prenatal exposure to PM 2.5 and its constituents with children's BMI Z-score in the first three years: A birth cohort study. ENVIRONMENTAL RESEARCH 2023:116326. [PMID: 37271439 DOI: 10.1016/j.envres.2023.116326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 05/13/2023] [Accepted: 06/02/2023] [Indexed: 06/06/2023]
Abstract
BACKGROUND Limited studies evaluated the effect of prenatal exposure to fine particulate matter (PM2.5) on childhood growth and no consensus reached yet. No study explored the effect of prenatal exposure to PM2.5 and its constituents on childhood growth in a region with high PM2.5 levels (>50 μg/m3). The present study aimed to examine the association of prenatal exposure to PM2.5 and its constituents with children's BMI Z-score in the first three years. METHODS The present study was based on a birth cohort in Beijing, China, involving 15,745 mothers with their children who were followed to three years old. We estimated prenatal PM2.5 and its constituents [organic carbon (OC), elemental carbon (EC), sulfate (SO42-), nitrate (NO3-), and ammonium (NH4+)] concentrations based on residential addresses at birth. Height (or length) and weight of children were repeatedly measured, and body mass index (BMI) Z-score was calculated at one, two, and three years old. Generalized linear regression and generalized estimating equation were used to examine the associations between prenatal exposure to PM2.5 and its constituents with BMI Z-score in the first three years. RESULTS Prenatal exposure to PM2.5 and its constituents was generally associated with higher BMI Z-score of children aged one, two, and three years. One IQR increase of PM2.5, OC, EC, NO3-, NH4+, and SO42- (21.30 μg/m3, 11.52 μg/m3, 2.40 μg/m3, 8.28 μg/m3, 2.42 μg/m3, and 8.80 μg/m3, respectively) was associated with 0.13 (95%CI: 0.10, 0.16), 0.24 (95%CI: 0.19, 0.29), 0.12 (95%CI: 0.09, 0.16), 0.13 (95%CI: 0.09, 0.17), 0.11 (95%CI: 0.08, 0.13), and 0.24 (95%CI: 0.19, 0.30) increase in BMI Z-score from one to three years old, respectively. CONCLUSION The study suggested that prenatal exposure to PM2.5 and its constituents was associated with higher BMI Z-score of children in the first three years. Public health policy for controlling harmful PM2.5 constituents should be developed to promote child health.
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Affiliation(s)
- Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, 100191, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Na Han
- Tongzhou Maternal and Child Health Care Hospital of Beijing, 101101, China
| | - Kai Zhang
- Department of Environmental Health Sciences School of Public Health, University at Albany, State University of New York One University Place, Rensselaer, NY, 12144, USA
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, 100191, China
| | - Yuelong Ji
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, 100191, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Hui Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, 100191, China
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Ting Liu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Hein Raat
- Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Haijun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, 100191, China.
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Martenies SE, Hoskovec L, Wilson A, Moore BF, Starling AP, Allshouse WB, Adgate JL, Dabelea D, Magzamen S. Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and social stressors and neonatal size and body composition in the Healthy Start cohort. Environ Health 2022; 21:111. [PMID: 36401268 PMCID: PMC9675112 DOI: 10.1186/s12940-022-00934-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 10/30/2022] [Indexed: 06/09/2023]
Abstract
BACKGROUND Both environmental and social factors have been linked to birth weight and adiposity at birth, but few studies consider the effects of exposure mixtures. Our objective was to identify which components of a mixture of neighborhood-level environmental and social exposures were driving associations with birth weight and adiposity at birth in the Healthy Start cohort. METHODS Exposures were assessed at the census tract level and included air pollution, built environment characteristics, and socioeconomic status. Prenatal exposures were assigned based on address at enrollment. Birth weight was measured at delivery and adiposity was measured using air displacement plethysmography within three days. We used non-parametric Bayes shrinkage (NPB) to identify exposures that were associated with our outcomes of interest. NPB models were compared to single-predictor linear regression. We also included generalized additive models (GAM) to assess nonlinear relationships. All regression models were adjusted for individual-level covariates, including maternal age, pre-pregnancy BMI, and smoking. RESULTS Results from NPB models showed most exposures were negatively associated with birth weight, though credible intervals were wide and generally contained zero. However, the NPB model identified an interaction between ozone and temperature on birth weight, and the GAM suggested potential non-linear relationships. For associations between ozone or temperature with birth weight, we observed effect modification by maternal race/ethnicity, where effects were stronger for mothers who identified as a race or ethnicity other than non-Hispanic White. No associations with adiposity at birth were observed. CONCLUSIONS NPB identified prenatal exposures to ozone and temperature as predictors of birth weight, and mothers who identify as a race or ethnicity other than non-Hispanic White might be disproportionately impacted. However, NPB models may have limited applicability when non-linear effects are present. Future work should consider a two-stage approach where NPB is used to reduce dimensionality and alternative approaches examine non-linear effects.
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Affiliation(s)
- Sheena E Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, 906 S Goodwin Ave, M/C 052, Urbana, IL, 61801, USA.
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
| | - Lauren Hoskovec
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Brianna F Moore
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Anne P Starling
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Campus, Aurora, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Campus, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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11
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Wu QZ, Xu SL, Tan YW, Qian Z, Vaughn MG, McMillin SE, Dong P, Qin SJ, Liang LX, Lin LZ, Liu RQ, Yang BY, Chen G, Zhang W, Hu LW, Zeng XW, Dong GH. Exposure to ultrafine particles and childhood obesity: A cross-sectional analysis of the Seven Northeast Cities (SNEC) Study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 846:157524. [PMID: 35872203 DOI: 10.1016/j.scitotenv.2022.157524] [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: 02/14/2022] [Revised: 07/16/2022] [Accepted: 07/16/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Studies on the obesogenic effect of air pollution on children have been mixed and sparse. Moreover, due to insufficient air monitoring, few studies have investigated the role of more tiny but unregulated particles (ambient particles with a diameter of 0.1 μm or less, ultrafine particles). OBJECTIVE We sought to explore the associations between long-term exposure to ambient ultrafine particles (UFPs) and childhood obesity in Chinese children. METHODS In this cross-sectional study, we randomly recruited 47,990 children, aged 6-18 years, from seven cities in Northeastern China between 2012 and 2013. Child age- and sex-specific z-scores for body mass index (BMI Z-score) and weight status were generated using the World Health Organization growth reference. Four-year average concentrations of UFPs and airborne particulates of diameter ≤ 1 μm (PM1), ≤2.5 μm (PM2.5), and ≤10 μm (PM10) were estimated at home, using neural network simulated WRF-Chem model and spatiotemporal model, respectively. Confounder-adjusted generalized linear mixed models examined the associations between air pollution and BMI Z-score and the prevalence of childhood obesity. RESULT We found that UFPs exposure was associated with greater childhood BMI Z-score and a higher likelihood of obesity. Compared with the lowest quartile, higher quartiles of UFPs were associated with greater odds for obesity prevalence in children (i.e., the adjusted OR was 1.25; 95 % CI, 1.12-1.39; 1.43; 95 % CI, 1.27-1.61; and 1.41; 95 % CI, 1.25-1.58 for the second, third, and fourth quartile, respectively). Similar associations were observed for PM1, PM2.5, and PM10, and were greater in boys and children living close to roadways. CONCLUSIONS Long-term UFPs exposure was associated with a greater likelihood of childhood obesity, and stronger associations on BMI Z-score were observed in boys and children living close to roadways. This study indicates that more attention should be paid to the health effects of UFPs, and routinely monitoring of UFPs should be considered.
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Affiliation(s)
- Qi-Zhen Wu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shu-Li Xu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ya-Wen Tan
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63104, USA
| | - Michael G Vaughn
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO 63103, USA
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO 63103, USA
| | - Pengxin Dong
- Nursing College, Guangxi Medical University, Nanning 530021, China
| | - Shuang-Jian Qin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Xia Liang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Zi Lin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ru-Qing Liu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Bo-Yi Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wangjian Zhang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Wen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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12
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Starling AP, Wood C, Liu C, Kechris K, Yang IV, Friedman C, Thomas DSK, Peel JL, Adgate JL, Magzamen S, Martenies SE, Allshouse WB, Dabelea D. Ambient air pollution during pregnancy and DNA methylation in umbilical cord blood, with potential mediation of associations with infant adiposity: The Healthy Start study. ENVIRONMENTAL RESEARCH 2022; 214:113881. [PMID: 35835166 PMCID: PMC10402394 DOI: 10.1016/j.envres.2022.113881] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 06/11/2022] [Accepted: 07/06/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Prenatal exposure to ambient air pollution has been associated with adverse offspring health outcomes. Childhood health effects of prenatal exposures may be mediated through changes to DNA methylation detectable at birth. METHODS Among 429 non-smoking women in a cohort study of mother-infant pairs in Colorado, USA, we estimated associations between prenatal exposure to ambient fine particulate matter (PM2.5) and ozone (O3), and epigenome-wide DNA methylation of umbilical cord blood cells at delivery (2010-2014). We calculated average PM2.5 and O3 in each trimester of pregnancy and the full pregnancy using inverse-distance-weighted interpolation. We fit linear regression models adjusted for potential confounders and cell proportions to estimate associations between air pollutants and methylation at each of 432,943 CpGs. Differentially methylated regions (DMRs) were identified using comb-p. Previously in this cohort, we reported positive associations between 3rd trimester O3 exposure and infant adiposity at 5 months of age. Here, we quantified the potential for mediation of that association by changes in DNA methylation in cord blood. RESULTS We identified several DMRs for each pollutant and period of pregnancy. The greatest number of significant DMRs were associated with third trimester PM2.5 (21 DMRs). No single CpGs were associated with air pollutants at a false discovery rate <0.05. We found that up to 8% of the effect of 3rd trimester O3 on 5-month adiposity may be mediated by locus-specific methylation changes, but mediation estimates were not statistically significant. CONCLUSIONS Differentially methylated regions in cord blood were identified in association with maternal exposure to PM2.5 and O3. Genes annotated to the significant sites played roles in cardiometabolic disease, immune function and inflammation, and neurologic disorders. We found limited evidence of mediation by DNA methylation of associations between third trimester O3 exposure and 5-month infant adiposity.
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Affiliation(s)
- Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Cheyret Wood
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Cuining Liu
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ivana V Yang
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA; Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
| | - Chloe Friedman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah S K Thomas
- Department of Geography and Earth Sciences, University of North Carolina Charlotte, NC, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - Sheena E Martenies
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Cosemans C, Wang C, Alfano R, Martens DS, Sleurs H, Dockx Y, Vanbrabant K, Janssen BG, Vanpoucke C, Lefebvre W, Smeets K, Nawrot TS, Plusquin M. In utero particulate matter exposure in association with newborn mitochondrial ND4L 10550A>G heteroplasmy and its role in overweight during early childhood. Environ Health 2022; 21:88. [PMID: 36117180 PMCID: PMC9484069 DOI: 10.1186/s12940-022-00899-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 09/01/2022] [Indexed: 05/26/2023]
Abstract
BACKGROUND Mitochondria play an important role in the energy metabolism and are susceptible to environmental pollution. Prenatal air pollution exposure has been linked with childhood obesity. Placental mtDNA mutations have been associated with prenatal particulate matter exposure and MT-ND4L10550A>G heteroplasmy has been associated with BMI in adults. Therefore, we hypothesized that in utero PM2.5 exposure is associated with cord blood MT-ND4L10550A>G heteroplasmy and early life growth. In addition, the role of cord blood MT-ND4L10550A>G heteroplasmy in overweight during early childhood is investigated. METHODS This study included 386 mother-newborn pairs. Outdoor PM2.5 concentrations were determined at the maternal residential address. Cord blood MT-ND4L10550A>G heteroplasmy was determined using Droplet Digital PCR. Associations were explored using logistic regression models and distributed lag linear models. Mediation analysis was performed to quantify the effects of prenatal PM2.5 exposure on childhood overweight mediated by cord blood MT-ND4L10550A>G heteroplasmy. RESULTS Prenatal PM2.5 exposure was positively associated with childhood overweight during the whole pregnancy (OR = 2.33; 95% CI: 1.20 to 4.51; p = 0.01), which was mainly driven by the second trimester. In addition, prenatal PM2.5 exposure was associated with cord blood MT-ND4L10550A>G heteroplasmy from gestational week 9 - 13. The largest effect was observed in week 10, where a 5 µg/m3 increment in PM2.5 was linked with cord blood MT-ND4L10550A>G heteroplasmy (OR = 0.93; 95% CI: 0.87 to 0.99). Cord blood MT-ND4L10550A>G heteroplasmy was also linked with childhood overweight (OR = 3.04; 95% CI: 1.15 to 7.50; p = 0.02). The effect of prenatal PM2.5 exposure on childhood overweight was mainly direct (total effect OR = 1.18; 95% CI: 0.99 to 1.36; natural direct effect OR = 1.20; 95% CI: 1.01 to 1.36)) and was not mediated by cord blood MT-ND4L10550A>G heteroplasmy. CONCLUSIONS Cord blood MT-ND4L10550A>G heteroplasmy was linked with childhood overweight. In addition, in utero exposure to PM2.5 during the first trimester of pregnancy was associated with cord blood MT-ND4L10550A>G heteroplasmy in newborns. Our analysis did not reveal any mediation of cord blood MT-ND4L10550A>G heteroplasmy in the association between PM2.5 exposure and childhood overweight.
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Affiliation(s)
- Charlotte Cosemans
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Congrong Wang
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Dries S Martens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Hanne Sleurs
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Yinthe Dockx
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Kenneth Vanbrabant
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Bram G Janssen
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | | | - Wouter Lefebvre
- Flemish Institute for Technological Research, VITO, Mol, Belgium
| | - Karen Smeets
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
- School of Public Health, Occupational & Environmental Medicine, Leuven University, Leuven, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
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Shi X, Zheng Y, Cui H, Zhang Y, Jiang M. Exposure to outdoor and indoor air pollution and risk of overweight and obesity across different life periods: A review. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 242:113893. [PMID: 35917711 DOI: 10.1016/j.ecoenv.2022.113893] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/06/2022] [Accepted: 07/14/2022] [Indexed: 06/15/2023]
Abstract
Due to the highly evolved industrialization and modernization, air quality has deteriorated in most countries. As reported by the World Health Organization (WHO), air pollution is now considered as one of the major threats to global health and a principal risk factor for noncommunicable diseases. Meanwhile, the increasing worldwide prevalence of overweight and obesity is attracting more public attentions. Recently, accumulating epidemiological studies have provided evidence that overweight and obesity may be partially attributable to environmental exposure to air pollution. This review summarizes the epidemiological evidence for the correlation between exposure to various outdoor and indoor air pollutants (mainly particulate matter (PM), nitrogen oxides (NOx), ozone (O3), and polycyclic aromatic hydrocarbons (PAHs)) and overweight and obesity outcomes in recent years. Moreover, it discusses the multiple effects of air pollution during exposure periods throughout life and sex differences in populations. This review also describes the potential mechanism underlying the increased risk of obesity caused by air pollution, including inflammation, oxidative stress, metabolic imbalance, intestinal flora disorders and epigenetic modifications. Finally, this review proposes macro- and micro-measures to prevent the negative effects of air pollution exposure on the obesity prevalence.
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Affiliation(s)
- Xiaoyi Shi
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Yuxin Zheng
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Haiwen Cui
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Yuxi Zhang
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Menghui Jiang
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China.
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15
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Kaur K, Lesseur C, Deyssenroth MA, Kloog I, Schwartz JD, Marsit CJ, Chen J. PM 2.5 exposure during pregnancy is associated with altered placental expression of lipid metabolic genes in a US birth cohort. ENVIRONMENTAL RESEARCH 2022; 211:113066. [PMID: 35248564 PMCID: PMC9177798 DOI: 10.1016/j.envres.2022.113066] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 05/31/2023]
Abstract
Inhalation of ambient PM2.5, shown to be able to cross the placenta, has been linked to adverse obstetric and postnatal metabolic health outcomes. The placenta regulates fetal growth and influences postnatal development via fetal programming. Placental gene expression may be influenced by intrauterine exposures to PM2.5. Herein, we explore whether maternal PM2.5 exposure during pregnancy alters placental gene expression related to lipid and glucose metabolism in a U.S. birth cohort, the Rhode Island Child Health Study (RICHS). Average PM2.5 exposure level was estimated linking residential addresses and satellite data across the three trimesters using spatio-temporal models. Based on Gene Ontology annotations, we curated a list of 657 lipid and glucose metabolism genes. We conducted a two-staged analysis by leveraging placental RNA-Seq data from 148 subjects to identify top dysregulated metabolic genes associated with PM2.5 (Phase I) and then validated the results in placental samples from 415 participants of the cohort using RT-qPCR (Phase II). Associations between PM2.5 and placental gene expression were explored using multivariable linear regression models in the overall population and in sex-stratified analyses. The average level of PM2.5 exposure across pregnancy was 8.0μg/m3, which is below the national standard of 12μg/m3. Phase I revealed that expression levels of 32 out of the curated list of 657 genes were significantly associated with PM2.5 exposure (FDR P<0.01), 28 genes showed differential expression modified by sex of the infant. Five of these genes (ABHD3, ATP11A, CLTCL1, ST6GALNAC4 and PSCA) were validated using RT-qPCR. Associations were stronger in placentas from male births compared to females, indicating a sex-dependent effect. These genes are involved in inflammation, lipid transport, cell-cell communication or cell invasion. Our results suggest that gestational PM2.5 exposure may alter placental metabolic function. However, whether it confers long-term programming effects postnatally, especially in a sex-specific matter, warrants further studies.
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Affiliation(s)
- Kirtan Kaur
- Department of Environmental Medicine, School of Medicine, NYU Langone Health, New York, NY, USA
| | - Corina Lesseur
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maya A Deyssenroth
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Faculty of Humanities and Social Sciences, Ben Gurion University, Beersheba, 8410501, Israel
| | - Joel D Schwartz
- Department of Environmental Health, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, GA, USA
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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16
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Prenatal Exposure to Traffic-Related Air Pollution and the DNA Methylation in Cord Blood Cells: MOCEH Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063292. [PMID: 35328979 PMCID: PMC8949945 DOI: 10.3390/ijerph19063292] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/14/2022] [Accepted: 02/15/2022] [Indexed: 02/04/2023]
Abstract
Particulate matter with a diameter of ≤10 µm (PM10) and nitrogen dioxide (NO2) affect the DNA methylation in the fetus, but epigenetic studies regarding prenatal exposure to air pollution in Asia are lacking. Therefore, this study aimed to assess whether there is any association between the ambient concentrations of PM10 and NO2 and CpG methylation in the cord blood DNA by using a Korean birth cohort. The concentrations of the air pollutants were incorporated into the final LUR model by using the maternal address data. The methylation level was determined using HumanMethylationEPIC BeadChip and a linear regression analysis model. A multipollutant model including both PM10 and NO2 and models with single pollutants were used for each trimester exposure. The number of differentially methylated positions was the largest for midpregnancy exposure in both the single pollutant models and the multipollutant regression analysis. Additionally, gene-set analysis regarding midpregnancy exposure revealed four gene ontology terms (cellular response to staurosporine, positive regulation of cytoskeleton organization, neurotransmitter transport, and execution phase of apoptosis). In conclusion, these findings show an association between prenatal PM10 and NO2 exposure and DNA methylation in several CpG sites in cord blood cells, especially for midpregnancy exposure.
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17
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Prenatal exposure to ambient air pollution and traffic and indicators of adiposity in early childhood: the Healthy Start study. Int J Obes (Lond) 2022; 46:494-501. [PMID: 34754067 PMCID: PMC9269985 DOI: 10.1038/s41366-021-01003-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 10/12/2021] [Accepted: 10/14/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Prenatal exposure to ambient air pollution and traffic have been related to a lower birth weight and may be associated with greater adiposity in childhood. We aimed to examine associations of maternal exposure to ambient air pollution and traffic during pregnancy with indicators of adiposity in early childhood. METHODS We included 738 participants of the Colorado-based Healthy Start study whose height, weight, waist circumference and/or fat mass were measured at age 4-6 years. We estimated residential exposure to ambient concentrations of fine particulate matter (PM2.5) and ozone (O3) averaged by trimester and throughout pregnancy via inverse distance-weighted interpolation of central site monitoring data. We assessed the distance to the nearest major roadway and traffic density in multiple buffers surrounding the participants' homes. Associations of prenatal exposure to air pollution and traffic with overweight, waist circumference, percent fat mass and fat mass index (FMI) were assessed by logistic and linear regression. RESULTS Associations of exposure to PM2.5 and O3 at the residential address during pregnancy with percent fat mass and FMI at age 4-6 years were inconsistent across trimesters. For example, second trimester PM2.5 was associated with a higher percent fat mass (adjusted difference 0.70% [95% CI 0.05, 1.35%] per interquartile range (IQR; 1.3 µg/m3) increase), while third trimester PM2.5 was associated with a lower percent fat mass (adjusted difference -1.17% [95% CI -1.84, -0.50%] per IQR (1.3 µg/m3) increase). Residential proximity to a highway during pregnancy was associated with higher odds of being overweight at age 4-6 years. We observed no associations of prenatal exposure to PM2.5 and O3 with overweight and waist circumference. CONCLUSIONS We found limited evidence of associations of prenatal exposure to ambient PM2.5 and O3 with indicators of adiposity at age 4-6 years. Suggestive relationships between residential proximity to a highway during pregnancy and greater adiposity merit further investigation.
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18
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Rosa MJ, Politis MD, Tamayo-Ortiz M, Colicino E, Pantic I, Estrada-Gutierrez G, Tolentino MC, Espejel-Nuñez A, Solano-Gonzalez M, Kloog I, Rivera NR, Baccarelli AA, Tellez-Rojo MM, Wright RO, Just AC, Sanders AP. Critical windows of perinatal particulate matter (PM 2.5) exposure and preadolescent kidney function. ENVIRONMENTAL RESEARCH 2022; 204:112062. [PMID: 34537199 PMCID: PMC8678189 DOI: 10.1016/j.envres.2021.112062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/08/2021] [Accepted: 09/10/2021] [Indexed: 06/13/2023]
Abstract
Air pollution exposure, especially particulate matter ≤2.5 μm in diameter (PM2.5), is associated with poorer kidney function in adults and children. Perinatal exposure may occur during susceptible periods of nephron development. We used distributed lag nonlinear models (DLNMs) to examine time-varying associations between early life daily PM2.5 exposure (periconceptional through age 8 years) and kidney parameters in preadolescent children aged 8-10 years. Participants included 427 mother-child dyads enrolled in the PROGRESS birth cohort study based in Mexico City. Daily PM2.5 exposure was estimated at each participant's residence using a validated satellite-based spatio-temporal model. Kidney function parameters included estimated glomerular filtration rate (eGFR), serum cystatin C, and blood urea nitrogen (BUN). Models were adjusted for child's age, sex and body mass index (BMI) z-score, as well as maternal education, indoor smoking report and seasonality (prenatal models were additionally adjusted for average first year of life PM2.5 exposure). We also tested for sex-specific effects. Average perinatal PM2.5 was 22.7 μg/m3 and ranged 16.4-29.3 μg/m3. Early pregnancy PM2.5 exposures were associated with higher eGFR in preadolescence. Specifically, we found that PM2.5 exposure between weeks 1-18 of gestation was associated with increased preadolescent eGFR, whereas exposure in the first 14 months of life after birth were associated with decreased eGFR. Specifically, a 5 μg/m3 increase in PM2.5 during the detected prenatal window was associated with a cumulative increase in eGFR of 4.44 mL/min/1.732 (95%CI: 1.37, 7.52), and during the postnatal window we report a cumulative eGFR decrease of -10.36 mL/min/1.732 (95%CI: -17.68, -3.04). We identified perinatal windows of susceptibility to PM2.5 exposure with preadolescent kidney function parameters. Follow-up investigating PM2.5 exposure with peripubertal kidney function trajectories and risk of kidney disease in adulthood will be critical.
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Affiliation(s)
- Maria José Rosa
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maria D Politis
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marcela Tamayo-Ortiz
- Occupational Health Research Unit, Mexican Social Security Institute, Mexico City, Mexico
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ivan Pantic
- National Institute of Perinatology, Mexico City, Mexico
| | | | | | | | - Maritsa Solano-Gonzalez
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, P.O.B. Beer Sheva, Israel
| | - Nadya Rivera Rivera
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Martha M Tellez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Robert O Wright
- 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
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alison P Sanders
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA, USA.
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19
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Vanoli J, Coull BA, Ettinger de Cuba S, Fabian PM, Carnes F, Massaro MA, Poblacion A, Bellocco R, Kloog I, Schwartz J, Laden F, Zanobetti A. Postnatal exposure to PM 2.5 and weight trajectories in early childhood. Environ Epidemiol 2022; 6:e181. [PMID: 35169661 PMCID: PMC8835545 DOI: 10.1097/ee9.0000000000000181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 10/19/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Inconsistent evidence has assessed the impact of air pollution exposure on children's growth trajectories. We investigated the role of 90-day average postnatal fine particulate matter (PM2.5) exposures by estimating the magnitude of effects at different ages, and the change in child weight trajectory by categories of exposure. METHODS We obtained weight values from electronic health records at each hospital visit (males = 1859, females = 1601) from birth to 6 years old children recruited into the Boston-based Children's HealthWatch cohort (2009-2014). We applied mixed models, adjusting for individual and maternal confounders using (1) varying-coefficient models allowing for smooth non-linear interaction between age and PM2.5, (2) factor-smooth interaction between age and PM2.5 quartiles. Additionally, we stratified by sex and low birthweight (LBW) status (≤2500 g). RESULTS Using varying-coefficient models, we found that PM2.5 significantly modified the association between age and weight in males, with a positive association in children younger than 3 years and a negative association afterwards. In boys, for each 10 µg/m3 increase in PM2.5 we found a 2.6% increase (95% confidence interval = 0.8, 4.6) in weight at 1 year of age and a -0.6% (95% confidence interval = -3.9, 2.9) at 5 years. We found similar but smaller changes in females, and no differences comparing growth trajectories across quartiles of PM2.5. Most of the effects were in LBW children and null for normal birthweight children. CONCLUSIONS This study suggests that medium-term postnatal PM2.5 may modify weight trajectories nonlinearly in young children, and that LBW babies are more susceptible than normal-weight infants.
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Affiliation(s)
- Jacopo Vanoli
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Statistics and Quantitative Methods, Universita degli Studi di Milano-Bicocca, Milan, Italy
| | - Brent A. Coull
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | | | - Patricia M. Fabian
- Department of Environmental Health, School of Public Health, Boston University, Boston, Massachusetts
| | - Fei Carnes
- Department of Environmental Health, School of Public Health, Boston University, Boston, Massachusetts
| | - Marisa A. Massaro
- Department of Environmental Health, School of Public Health, Boston University, Boston, Massachusetts
| | - Ana Poblacion
- Department of Pediatrics, School of Medicine, Boston University, Boston, Massachusetts
| | - Rino Bellocco
- Department of Statistics and Quantitative Methods, Universita degli Studi di Milano-Bicocca, Milan, Italy
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Joel Schwartz
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Francine Laden
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Antonella Zanobetti
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
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20
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Malacarne D, Handakas E, Robinson O, Pineda E, Saez M, Chatzi L, Fecht D. The built environment as determinant of childhood obesity: A systematic literature review. Obes Rev 2022; 23 Suppl 1:e13385. [PMID: 34859950 DOI: 10.1111/obr.13385] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 10/11/2021] [Indexed: 01/19/2023]
Abstract
We evaluated the epidemiological evidence on the built environment and its link to childhood obesity, focusing on environmental factors such as traffic noise and air pollution, as well as physical factors potentially driving obesity-related behaviors, such as neighborhood walkability and availability and accessibility of parks and playgrounds. Eligible studies were (i) conducted on human children below the age of 18 years, (ii) focused on body size measurements in childhood, (iii) examined at least one built environment characteristic, (iv) reported effect sizes and associated confidence intervals, and (v) were published in English language. A z test, as alternative to the meta-analysis, was used to quantify associations due to heterogeneity in exposure and outcome definition. We found strong evidence for an association of traffic-related air pollution (nitrogen dioxide and nitrogen oxides exposure, p < 0.001) and built environment characteristics supportive of walking (street intersection density, p < 0.01 and access to parks, p < 0.001) with childhood obesity. We identified a lack of studies that account for interactions between different built environment exposures or verify the role and mechanism of important effect modifiers such as age.
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Affiliation(s)
- Diego Malacarne
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Evangelos Handakas
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Oliver Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Elisa Pineda
- Centre for Health Economics & Policy Innovation (CHEPI), Imperial College Business School, and School of Public Health, Imperial College London, London, UK
| | - Marc Saez
- Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Leda Chatzi
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
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21
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Tamana SK, Gombojav E, Kanlic A, Banzrai C, Batsukh S, Enkhtuya E, Boldbaatar B, Lanphear BP, Lear SA, McCandless LC, Venners SA, Allen RW. Portable HEPA filter air cleaner use during pregnancy and children's body mass index at two years of age: The UGAAR randomized controlled trial. ENVIRONMENT INTERNATIONAL 2021; 156:106728. [PMID: 34218184 DOI: 10.1016/j.envint.2021.106728] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 06/10/2021] [Accepted: 06/17/2021] [Indexed: 06/13/2023]
Abstract
IMPORTANCE Gestational exposure to particulate matter (PM) air pollution may increase the risk of childhood obesity, but the impact of reducing air pollution during pregnancy on obesity-related outcomes in childhood has not been examined. OBJECTIVE To assess the impact of reducing gestational PM exposure on body mass index (BMI) at two years of age. METHODS In this single-blind, parallel group randomized controlled trial in Ulaanbaatar Mongolia, we randomly assigned 540 pregnant women to receive 1-2 portable high efficiency particulate air (HEPA) filter air cleaners or no air cleaners. We measured height and weight when children were a mean age of 23.8 months. Our primary outcome was age- and sex-specific BMI z-score based on the World Health Organization 2007 Growth Charts. Secondary outcomes included age- and sex-specific weight z score, overweight/obesity (defined as BMI z-score > 2.00), and catch-up growth (defined using various cut-offs to identify children with relatively low birth weight for sex and gestational age and relatively high age- and sex-specific weight in childhood). We imputed missing outcome data using multiple imputation with chained equations and our primary analysis was by intention to treat (ITT). We estimated intervention effects on continuous and binary outcomes using linear and logistic regression, respectively. RESULTS After excluding known miscarriages, still births, and neonatal deaths our analysis included 480 children (235 control and 245 intervention). The mean (SD) child BMI z score was 0.79 (1.0); 9.8% of children were overweight or obese. The mean BMI z score of children who were randomly assigned to the intervention group was 0.16-units lower (95% CI: -0.35, 0.04) than children in the control group. The intervention was also associated with reductions in overweight/obesity (odds ratio = 0.59; 95% CI: 0.31, 1.12). Catch-up growth occurred less frequently in the intervention group, but effect estimates varied depending on the specific definition of catch-up growth and confidence intervals consistently spanned no effect. CONCLUSIONS We found that the use of portable air cleaners during pregnancy was associated with improvements in obesity-related outcomes, although some effect estimates lacked precision. Reducing PM exposure during pregnancy may lead to improvements in cardiometabolic health in childhood.
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Affiliation(s)
- Sukhpreet K Tamana
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Enkhjargal Gombojav
- School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Adriana Kanlic
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Chimeglkham Banzrai
- Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Sarangerel Batsukh
- School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Enkhtuul Enkhtuya
- School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Buyantushig Boldbaatar
- School of Public Health, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Bruce P Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Scott A Lear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | | | - Scott A Venners
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Ryan W Allen
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
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22
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Bozack AK, Colicino E, Just AC, Wright RO, Baccarelli AA, Wright RJ, Lee AG. Associations between infant sex and DNA methylation across umbilical cord blood, artery, and placenta samples. Epigenetics 2021; 17:1080-1097. [PMID: 34569420 PMCID: PMC9542631 DOI: 10.1080/15592294.2021.1985300] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
DNA methylation (DNAm) is vulnerable to dysregulation by environmental exposures during epigenetic reprogramming that occurs in embryogenesis. Sexual dimorphism in environmentally induced DNAm dysregulation has been identified and therefore it is important to understand sex-specific DNAm patterns. DNAm at several autosomal sites has been consistently associated with sex in cord blood and placental foetal tissues. However, there is limited research comparing sex-specific DNAm across tissues, particularly differentially methylated regions (DMRs). This study leverages DNAm data measured using the Illumina HumanMethylation450 BeadChip in cord blood (N = 179), placenta (N = 229), and umbilical artery samples (N = 229) in the PRogramming of Intergenerational Stress Mechanisms (PRISM) cohort to identify autosomal DMRs and differentially methylated positions (DMPs). A replication analyses was conducted in an independent cohort (GEO Accession GSE129841). We identified 183, 257, and 419 DMRs and 2119, 2281, and 3405 DMPs (pBonferroni < 0.05) in cord blood, placenta, and artery samples, respectively. Thirty-nine DMRs overlapped in all three tissues, overlapping with genes involved in spermatogenesis (NKAPL, PIWIL2 and AURKC) and X-inactivation (LRIF1). In replication analysis, 85% of DMRs overlapped with those identified in PRISM. Overall, DMRs and DMPs had higher methylation levels among females in cord blood and artery samples, but higher methylation levels among males in placenta samples. Further research is necessary to understand biological mechanisms that contribute to differences in sex-specific DNAm signatures across tissues, as well as to determine if sexual dimorphism in the epigenome impacts response to environmental stressors.
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Affiliation(s)
- Anne K Bozack
- Division of Pulmonary Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrea A Baccarelli
- Departments of Environmental Health Sciences and Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alison G Lee
- Division of Pulmonary Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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23
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Heo YJ, Kim HS. Ambient air pollution and endocrinologic disorders in childhood. Ann Pediatr Endocrinol Metab 2021; 26:158-170. [PMID: 34610703 PMCID: PMC8505042 DOI: 10.6065/apem.2142132.066] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 08/23/2021] [Indexed: 02/01/2023] Open
Abstract
Ambient air pollution has been proposed as an important environmental risk factor that increases global mortality and morbidity. Over the past decade, several human and animal studies have reported an association between exposure to air pollution and altered metabolic and endocrine systems in children. However, the results for these studies were mixed and inconclusive and did not demonstrate causality because different outcomes were observed due to different study designs, exposure periods, and methodologies for exposure measurements. Current proposed mechanisms include altered immune response, oxidative stress, neuroinflammation, inadequate placental development, and epigenetic modulation. In this review, we summarized the results of previous pediatric studies that reported effects of prenatal and postnatal air pollution exposure on childhood type 1 diabetes mellitus, obesity, insulin resistance, thyroid dysfunction, and timing of pubertal onset, along with underlying related mechanisms.
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Affiliation(s)
- You Joung Heo
- Department of Pediatrics, Ewha Women’s University College of Medicine, Seoul, Korea
| | - Hae Soon Kim
- Department of Pediatrics, Ewha Women’s University College of Medicine, Seoul, Korea,Address for correspondence: Hae Soon Kim Department of Pediatrics, Ewha Women’s University College of Medicine, 260, Gonghang-daero, Gangseo-gu, Seoul 07804, Korea
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24
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Sun X, Liu C, Liang H, Miao M, Wang Z, Ji H, van Donkelaar A, Martin RV, Kan H, Yuan W. Prenatal exposure to residential PM 2.5 and its chemical constituents and weight in preschool children: A longitudinal study from Shanghai, China. ENVIRONMENT INTERNATIONAL 2021; 154:106580. [PMID: 33905944 DOI: 10.1016/j.envint.2021.106580] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 03/24/2021] [Accepted: 04/12/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Studies have reported that prenatal exposure to fine particulate matter (PM2.5) might be associated with adverse birth outcomes in offspring. However, evidence with regard to the effects of prenatal exposure to PM2.5 and, especially, its main chemical constituents on offspring's weight in childhood is limited and inconsistent. OBJECTIVES The present study aimed to examine associations of prenatal exposure to PM2.5 total mass and its chemical constituents in each trimester with children's weight from birth to 6 years of age using data from Shanghai-Minhang Birth Cohort Study. METHODS A total of 1,084 mother-infant pairs were included with both PM2.5 exposure data and at least one measurement of weight and height. Weight-for-Length (WLZ), BMI-for-Age (BMIz), and Weight-for-Age (WAZ) z-scores were generated according to the World Health Organization guidelines. Exposure to PM2.5 total mass and its chemical constituents [organic carbon (OC), black carbon (BC), ammonium (NH4+), nitrate (NO3-), sulfate (SO42-), and soil dust (SOIL)] during pregnancy was estimated from a satellite based modelling framework. We used multiple informant model to estimate the associations of trimester-specific PM2.5 total mass and its specific constituents concentrations with WLZ/BMIz and WAZ of offspring at birth and 1, 4, and 6 years of age. RESULTS In multiple informant model, we observed consistent patterns of associations between exposure to PM2.5 total mass, OC, BC, NH4+, NO3-, and SO42- during the 2nd and 3rd trimesters and decreased WLZ/BMIz and WAZ at 1, 4, and 6 years of age in boys. We observed associations between prenatal exposure to PM2.5 total mass, NH4+, and NO3- during the 1st and 2nd trimesters and increased WLZ/BMIz and WAZ in girls at birth. However, there were null associations at 1 and 4 years of age and inverse associations at 6 years of age. CONCLUSIONS Prenatal exposure to PM2.5 total mass and its main chemical constituents was associated with decreased weight in boys from 1 to 6 years of age, with increased weight at birth and decreased weight at 6 years of age in girls. Our findings suggest that prenatal exposure to PM2.5 and its chemical constituents may have a lasting effect on offspring's weight in childhood.
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Affiliation(s)
- Xiaowei Sun
- NHC Key Lab. Of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), School of Public Health, Fudan University, 779 Old Hu Min Road, Shanghai 200237, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, 130 Dong An Road, Shanghai 200032, China
| | - Hong Liang
- NHC Key Lab. Of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), School of Public Health, Fudan University, 779 Old Hu Min Road, Shanghai 200237, China
| | - Maohua Miao
- NHC Key Lab. Of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), School of Public Health, Fudan University, 779 Old Hu Min Road, Shanghai 200237, China
| | - Ziliang Wang
- NHC Key Lab. Of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), School of Public Health, Fudan University, 779 Old Hu Min Road, Shanghai 200237, China
| | - Honglei Ji
- NHC Key Lab. Of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), School of Public Health, Fudan University, 779 Old Hu Min Road, Shanghai 200237, China
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, B3H 4R2 Halifax, Nova Scotia, Canada; Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA; Atomic and Molecular Physics Division, Harvard-Smithsonian Center for Astrophysics, 60 Garden St, Cambridge, MA 02138, USA
| | - Randall V Martin
- Department of Physics and Atmospheric Science, Dalhousie University, B3H 4R2 Halifax, Nova Scotia, Canada; Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA; Atomic and Molecular Physics Division, Harvard-Smithsonian Center for Astrophysics, 60 Garden St, Cambridge, MA 02138, USA
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, 130 Dong An Road, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China.
| | - Wei Yuan
- NHC Key Lab. Of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), School of Public Health, Fudan University, 779 Old Hu Min Road, Shanghai 200237, China
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Patterson WB, Glasson J, Naik N, Jones RB, Berger PK, Plows JF, Minor HA, Lurmann F, Goran MI, Alderete TL. Prenatal exposure to ambient air pollutants and early infant growth and adiposity in the Southern California Mother's Milk Study. Environ Health 2021; 20:67. [PMID: 34090448 PMCID: PMC8180163 DOI: 10.1186/s12940-021-00753-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 05/25/2021] [Indexed: 05/09/2023]
Abstract
BACKGROUND Prior epidemiological and animal work has linked in utero exposure to ambient air pollutants (AAP) with accelerated postnatal weight gain, which is predictive of increased cardiometabolic risk factors in childhood and adolescence. However, few studies have assessed changes in infant body composition or multiple pollutant exposures. Therefore, the objective of this study was to examine relationships between prenatal residential AAP exposure with infant growth and adiposity. METHODS Residential exposure to AAP (particulate matter < 2.5 and 10 microns in aerodynamic diameter [PM2.5, PM10]; nitrogen dioxide [NO2]; ozone [O3]; oxidative capacity [Oxwt: redox-weighted oxidative potential of O3 and NO2]) was modeled by spatial interpolation of monitoring stations via an inverse distance-squared weighting (IDW2) algorithm for 123 participants from the longitudinal Mother's Milk Study, an ongoing cohort of Hispanic mother-infant dyads from Southern California. Outcomes included changes in infant growth (weight, length), total subcutaneous fat (TSF; calculated via infant skinfold thickness measures) and fat distribution (umbilical circumference, central to total subcutaneous fat [CTSF]) and were calculated by subtracting 1-month measures from 6-month measures. Multivariable linear regression was performed to examine relationships between prenatal AAP exposure and infant outcomes. Models adjusted for maternal age, pre-pregnancy body mass index, socioeconomic status, infant age, sex, and breastfeeding frequency. Sex interactions were tested, and effects are reported for each standard deviation increase in exposure. RESULTS NO2 was associated with greater infant weight gain (β = 0.14, p = 0.02) and TSF (β = 1.69, p = 0.02). PM10 and PM2.5 were associated with change in umbilical circumference (β = 0.73, p = 0.003) and TSF (β = 1.53, p = 0.04), respectively. Associations of Oxwt (pinteractions < 0.10) with infant length change, umbilical circumference, and CTSF were modified by infant sex. Oxwt was associated with attenuated infant length change among males (β = -0.60, p = 0.01), but not females (β = 0.16, p = 0.49); umbilical circumference among females (β = 0.92, p = 0.009), but not males (β = -0.00, p = 0.99); and CTSF among males (β = 0.01, p = 0.03), but not females (β = 0.00, p = 0.51). CONCLUSION Prenatal AAP exposure was associated with increased weight gain and anthropometric measures from 1-to-6 months of life among Hispanic infants. Sex-specific associations suggest differential consequences of in utero oxidative stress. These results indicate that prenatal AAP exposure may alter infant growth, which has potential to increase childhood obesity risk.
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Affiliation(s)
- William B. Patterson
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO USA
| | - Jessica Glasson
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO USA
| | - Noopur Naik
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO USA
| | - Roshonda B. Jones
- Department of Pediatrics, The Saban Research Institute, Children’s Hospital of Los Angeles, University of Southern California, Los Angeles, CA USA
| | - Paige K. Berger
- Department of Pediatrics, The Saban Research Institute, Children’s Hospital of Los Angeles, University of Southern California, Los Angeles, CA USA
| | - Jasmine F. Plows
- Department of Pediatrics, The Saban Research Institute, Children’s Hospital of Los Angeles, University of Southern California, Los Angeles, CA USA
| | | | | | - Michael I. Goran
- Department of Pediatrics, The Saban Research Institute, Children’s Hospital of Los Angeles, University of Southern California, Los Angeles, CA USA
| | - Tanya L. Alderete
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO USA
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26
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Friedman C, Dabelea D, Thomas DSK, Peel JL, Adgate JL, Magzamen S, Martenies SE, Allshouse WB, Starling AP. Exposure to ambient air pollution during pregnancy and inflammatory biomarkers in maternal and umbilical cord blood: The Healthy Start study. ENVIRONMENTAL RESEARCH 2021; 197:111165. [PMID: 33857458 PMCID: PMC8216209 DOI: 10.1016/j.envres.2021.111165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 04/02/2021] [Accepted: 04/09/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Air pollution exposure during pregnancy has been associated with adverse pregnancy and birth outcomes. Inflammation has been proposed as a potential link. We estimated associations between air pollution exposure during pregnancy and inflammatory biomarkers in maternal and cord blood. We evaluated whether maternal inflammation was associated with infant outcomes. METHODS Among 515 mother-infant dyads in the Healthy Start study (2009-2014), trimester-long, 7- and 30-day average concentrations of particulate matter ≤2.5 μm (PM2.5) and ozone (O3) during pregnancy were estimated, using inverse-distance-weighted interpolation. Inflammatory biomarkers were measured in maternal blood in mid-pregnancy (C-reactive protein [CRP], Interleukin [IL]-6, and tumor necrosis factor-α [TNFα]) and in cord blood at delivery (CRP, IL-6, IL-8, IL-10, monocyte chemoattractant protein-1 [MCP-1], and TNFα). We used linear regression to estimate associations between pollutants and inflammatory biomarkers and maternal inflammatory biomarkers and infant weight and body composition. RESULTS There were positive associations between PM2.5 during certain exposure periods and maternal IL-6 and TNFα. There were negative associations between recent O3 and maternal CRP, IL-6, and TNFα and positive associations between trimester-long O3 exposure and maternal inflammatory biomarkers, though some 95% confidence intervals included the null. Patterns were inconsistent for associations between PM2.5 and O3 and cord blood inflammatory biomarkers. No consistent associations between maternal inflammatory biomarkers and infant outcomes were identified. CONCLUSIONS Air pollution exposure during pregnancy may impact maternal inflammation. Further investigations should examine the health consequences for women and infants of elevated inflammatory biomarkers associated with air pollution exposure during pregnancy.
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Affiliation(s)
- Chloe Friedman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah S K Thomas
- Department of Geography and Earth Sciences, University of North Carolina Charlotte, NC, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - Sheena E Martenies
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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27
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Zhou S, Lin L, Bao Z, Meng T, Wang S, Chen G, Li Q, Liu Z, Bao H, Han N, Wang H, Guo Y. The association of prenatal exposure to particulate matter with infant growth: A birth cohort study in Beijing, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 277:116792. [PMID: 33721799 DOI: 10.1016/j.envpol.2021.116792] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 02/16/2021] [Accepted: 02/17/2021] [Indexed: 06/12/2023]
Abstract
Limited studies examined the associations of prenatal exposure to particulate matter (PM) and children's growth with inconsistent results, and no study focused on PM1. We matched a birth cohort (10,547 children) with daily PM1 and PM2.5 concentrations by maternal home addresses. Air pollution concentrations were predicted by satellite remote sensing data, meteorological factors, and land use information. The weight and length of children in the birth cohort were measured at approximately one year old. We calculated the Z-score of weight for length (WFL) and body mass index (BMI) and then defined overweight and obesity (OWOB) based on WHO Standards. Generalized linear regression and modified Poisson regression were used to identify the association of prenatal exposure to PM1 or PM2.5 with anthropometric measurements and risk of OWOB. We also determined the mediation effect of preterm birth on the associations. Results showed that a 10 μg/m3 increase in prenatal exposure to PM1 and PM2.5 was significantly associated with a 0.105 [95% confidence interval (CI): 0.067, 0.144] and 0.063 (95% CI: 0.029, 0.097) increase in WFL Z-score for one-year-old children. Similar associations were found for BMI Z-score. A 10 μg/m3 increase in prenatal PM1 and PM2.5 exposure was significantly associated with 1.012 (95%CI: 1.003, 1.021) and 1.010 (95%CI: 1.002, 1.018) times higher risk of OWOB. . Preterm birth mediated 7.5% [direct effect (DE) = 0.106, P < 0.001; indirect effect (IE) = 0.009, P < 0.001)] and 9.9% (DE = 0.064, P < 0.001; IE = 0.007, P < 0.001) of the association between prenatal PM1 and PM2.5 exposure and WFL Z-score of the children. The association of prenatal PM1 and PM2.5 exposure with BMI Z-score of children was also mediated by preterm birth by 6.6% (DE = 0.111, P < 0.001; IE = 0.008, P < 0.001) and 9.1% (DE = 0.064, P < 0.001; IE = 0.006, P < 0.001). These results remained robust in the sensitivity analyses. In conclusion, prenatal exposure to PM1 and PM2.5 increased WFL, BMI Z-scores and higher risk of OWOB for one-year-old children. The associations were partially mediated by preterm birth. These findings call for the urgent action on air pollution regulation to protect early-life health among children.
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Affiliation(s)
- Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Lizi Lin
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China; 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
| | - Zheng Bao
- Tongzhou Maternal and Child Health Hospital, Beijing, 101101, China
| | - Tong Meng
- Tongzhou Maternal and Child Health Hospital, Beijing, 101101, China
| | - Shanshan Wang
- Tongzhou Maternal and Child Health Hospital, Beijing, 101101, China
| | - Gongbo Chen
- 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
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China; Reproductive Medical Centre, Department of Obstetrics and Gynaecology, Peking University Third Hospital, Beijing, 100191, China
| | - Zheng Liu
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Heling Bao
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Na Han
- Tongzhou Maternal and Child Health Hospital, Beijing, 101101, China
| | - Haijun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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28
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Chen M, Xu Y, Wang W, Wang X, Qiu L, Chen S, Kan H, Ying Z. Paternal Exposure to PM 2.5 Programs Offspring's Energy Homeostasis. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:6097-6106. [PMID: 33825453 DOI: 10.1021/acs.est.0c08161] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Considerable studies show that maternal exposure to ambient fine particulate matter (PM2.5) programs offspring's susceptibility to obesity. However, few studies have investigated the effect of paternal PM2.5 exposure on offspring's energy homeostasis. This study thus tested whether paternal PM2.5 exposure programs offspring's energy homeostasis. Male C57Bl/6J mice were exposed to filtered air or concentrated ambient PM2.5 (CAP) for 12 weeks and then mated with normal female C57Bl/6J mice. The offspring were assessed for growth trajectories, food intakes, and body compositions, and the sperm miRNAs of those sires were profiled by microarray. Zygotic injection was used to test whether the miRNA identified by the microarray mediates the impact of paternal PM2.5 exposure on offspring's energy homeostasis. Paternal CAP exposure resulted in significant hypophagia and weight loss in male, but not female, offspring. The weight loss of male offspring was accompanied by decreases in the liver and kidney masses and paradoxically an increase in the adipose mass. Without further exposure to CAP, this programming was three-generationally transmitted along the paternal line. The sperm miRNA profiling revealed that mmu-mir6909-5p was the sole differentially expressed sperm miRNA due to PM2.5 exposure, and zygotic injection of mmu-mir6909-5p mimicked all the effects of paternal PM2.5 exposure on offspring's energy homeostasis. Paternal PM2.5 exposure programs offspring's energy homeostasis through increasing paternal sperm mmu-mir6909-5p.
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Affiliation(s)
- Minjie Chen
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
| | - Yanyi Xu
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - Wanjun Wang
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - Xiaoke Wang
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
| | - Lianglin Qiu
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
| | - Sufang Chen
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Department of Endocrinology, The People's Hospital of Zhengzhou University (Henan Provincial People's Hospital), Zhengzhou, Henan 450003, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - Zhekang Ying
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
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29
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Farzan SF, Habre R, Danza P, Lurmann F, Gauderman WJ, Avol E, Bastain T, Hodis HN, Breton C. Childhood traffic-related air pollution and adverse changes in subclinical atherosclerosis measures from childhood to adulthood. Environ Health 2021; 20:44. [PMID: 33853624 PMCID: PMC8048028 DOI: 10.1186/s12940-021-00726-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 04/08/2021] [Indexed: 05/04/2023]
Abstract
BACKGROUND Chronic exposure to air pollutants is associated with increased risk of cardiovascular disease (CVD) among adults. However, little is known about how air pollution may affect the development of subclinical atherosclerosis in younger populations. Carotid artery intima-media thickness (CIMT) is a measure of subclinical atherosclerosis that provides insight into early CVD pathogenesis. METHODS In a pilot study of 70 participants from the Southern California Children's Health Study, we investigated CIMT progression from childhood to adulthood. Using carotid artery ultrasound images obtained at age 10 and follow-up images at age 21-22, we examined associations between childhood ambient and traffic-related air pollutants with changes in CIMT over time and attained adult CIMT using linear mixed-effects models adjusted for potential confounders. Average residential childhood exposures (i.e., birth to time of measurement at 10-11 years) were assigned for regional, ambient pollutants (ozone, nitrogen dioxide, particulate matter, interpolated from regulatory air monitoring data) and traffic-related nitrogen oxides (NOx) by road class (modeled using the CALINE4 line source dispersion model). Traffic density was calculated within a 300-m residential buffer. RESULTS For each 1 standard deviation (SD) increase in childhood traffic-related total NOx exposure, we observed greater yearly rate of change in CIMT from childhood to adulthood (β: 2.17 μm/yr, 95% CI: 0.78-3.56). Increases in annual rate of CIMT change from childhood to adulthood also were observed with freeway NOx exposure (β: 2.24 μm/yr, 95% CI: 0.84-3.63) and traffic density (β: 2.11 μm/yr, 95% CI: 0.79-3.43). Traffic exposures were also related to increases in attained CIMT in early adulthood. No associations of CIMT change or attained level were observed with ambient pollutants. CONCLUSIONS Overall, we observed adverse changes in CIMT over time in relation to childhood traffic-related NOx exposure and traffic density in our study population. While these results must be cautiously interpreted given the limited sample size, the observed associations of traffic measures with CIMT suggest a need for future studies to more fully explore this relationship.
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Affiliation(s)
- Shohreh F. Farzan
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | - Rima Habre
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | - Phoebe Danza
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | | | - W. James Gauderman
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | - Edward Avol
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | - Theresa Bastain
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | - Howard N. Hodis
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
- Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA 90089 USA
- Atherosclerosis Research Unit, University of Southern California, Los Angeles, CA 90089 USA
| | - Carrie Breton
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
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30
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Mann JK, Lutzker L, Holm SM, Margolis HG, Neophytou AM, Eisen EA, Costello S, Tyner T, Holland N, Tindula G, Prunicki M, Nadeau K, Noth EM, Lurmann F, Hammond SK, Balmes JR. Traffic-related air pollution is associated with glucose dysregulation, blood pressure, and oxidative stress in children. ENVIRONMENTAL RESEARCH 2021; 195:110870. [PMID: 33587949 PMCID: PMC8520413 DOI: 10.1016/j.envres.2021.110870] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 12/30/2020] [Accepted: 02/07/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND Metabolic syndrome increases the risk of cardiovascular disease in adults. Antecedents likely begin in childhood and whether childhood exposure to air pollution plays a contributory role is not well understood. OBJECTIVES To assess whether children's exposure to air pollution is associated with markers of risk for metabolic syndrome and oxidative stress, a hypothesized mediator of air pollution-related health effects. METHODS We studied 299 children (ages 6-8) living in the Fresno, CA area. At a study center visit, questionnaire and biomarker data were collected. Outcomes included hemoglobin A1c (HbA1c), urinary 8-isoprostane, systolic blood pressure (SBP), and BMI. Individual-level exposure estimates for a set of four pollutants that are constituents of traffic-related air pollution (TRAP) - the sum of 4-, 5-, and 6-ring polycyclic aromatic hydrocarbon compounds (PAH456), NO2, elemental carbon, and fine particulate matter (PM2.5) - were modeled at the primary residential location for 1-day lag, and 1-week, 1-month, 3-month, 6-month, and 1-year averages prior to each participant's visit date. Generalized additive models were used to estimate associations between each air pollutant exposure and outcome. RESULTS The study population was 53% male, 80% Latinx, 11% Black and largely low-income (6% were White and 3% were Asian/Pacific Islander). HbA1c percentage was associated with longer-term increases in TRAP; for example a 4.42 ng/m3 increase in 6-month average PAH456 was associated with a 0.07% increase (95% CI: 0.01, 0.14) and a 3.62 μg/m3 increase in 6-month average PM2.5 was associated with a 0.06% increase (95% CI: 0.01, 0.10). The influence of air pollutants on blood pressure was strongest at 3 months; for example, a 6.2 ppb increase in 3-month average NO2 was associated with a 9.4 mmHg increase in SBP (95% CI: 2.8, 15.9). TRAP concentrations were not significantly associated with anthropometric or adipokine measures. Short-term TRAP exposure averages were significantly associated with creatinine-adjusted urinary 8-isoprostane. DISCUSSION Our results suggest that both short- and longer-term estimated individual-level outdoor residential exposures to several traffic-related air pollutants, including ambient PAHs, are associated with biomarkers of risk for metabolic syndrome and oxidative stress in children.
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Affiliation(s)
- Jennifer K Mann
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Liza Lutzker
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Stephanie M Holm
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Helene G Margolis
- Department of Internal Medicine, University of California, Davis, Davis, CA, USA
| | - Andreas M Neophytou
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA; Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Ellen A Eisen
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Sadie Costello
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Tim Tyner
- University of California, San Francisco-Fresno, Fresno, CA, USA; Central California Asthma Collaborative, USA
| | - Nina Holland
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Gwen Tindula
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Mary Prunicki
- Sean N. Parker Center for Allergy and Asthma Research at Stanford University, Palo Alto, CA, USA
| | - Kari Nadeau
- Sean N. Parker Center for Allergy and Asthma Research at Stanford University, Palo Alto, CA, USA
| | - Elizabeth M Noth
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | | | - S Katharine Hammond
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - John R Balmes
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
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Tan Y, Liao J, Zhang B, Mei H, Peng A, Zhao J, Zhang Y, Yang S, He M. Prenatal exposure to air pollutants and early childhood growth trajectories: A population-based prospective birth cohort study. ENVIRONMENTAL RESEARCH 2021; 194:110627. [PMID: 33345893 DOI: 10.1016/j.envres.2020.110627] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/09/2020] [Accepted: 12/14/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Air pollution exposure during pregnancy has been documented to be associated with impaired fetal growth and adverse birth outcomes, but the evidence regarding the effects of air pollution on early childhood growth is still limited. OBJECTIVE We aimed to explore the associations of exposure to air pollutants during pregnancy with childhood growth trajectories from birth to age of 6 years. METHODS A prospective cohort study based on the administrative registration system was conducted covering 62,540 births in Wuhan, China between January 1, 2011 and December 31, 2013 and followed for 6 years. Inverse distance weighted method was used to estimate the concentrations of air pollutants exposure for pregnant women. Group-based trajectory models (GBTM) were used to identify growth patterns of children: slow growth, normal growth, and rapid growth. Multinomial logistic regression models were used to examine the associations between prenatal exposure to air pollutants and childhood growth trajectories with adjustment for maternal age, educational status, pre-pregnancy BMI, residential areas, gestational diabetes, birth type, gender of infant, and breastfeeding duration. RESULTS The mean (SD) of prenatal exposure concentrations for PM10, SO2, NO2, CO, and O3 were 107.9 (30.4), 32.8(12.6), 55.8(13.1), 1081.2(293.1), and 81.6(31.0) μg/m3 respectively. Compared with normal growth trajectory, increased PM10 and CO exposure were significantly associated with higher risk of slow growth trajectory but lower risk of rapid growth trajectory. An increase in prenatal exposure to NO2 significantly increased both the risk of slow growth trajectory and rapid growth trajectory. Increased prenatal SO2 exposure was significantly associated with rapid growth trajectory and was not associated with low growth trajectory. With O3 exposure levels increased, risk to be rapid growth trajectory decreased. Prenatal air pollutants exposure had a greater impact on childhood growth of children who were girls, and those mothers lived in rural areas and were normal weight before pregnancy. CONCLUSIONS High levels of air pollutants exposure during pregnancy were associated with the risk of being in a trajectory with the deviation of BMI gain from birth to 6 years old. These findings suggest that efforts to identify children at risk of growth deviation in early childhood should pay attention to environmental exposure during pregnancy for their mothers.
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Affiliation(s)
- Yafei Tan
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Qiaokou District, Wuhan, 430030, Hubei, China; Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, No. 100 Hongkong Road, Jiangan District, Wuhan, 430016, Hubei, China
| | - Jiaqiang Liao
- West China School of Public Health, Sichuan University, No. 17 People's South Road, Wuhou District, Chengdu, 610041, China
| | - Bin Zhang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, No. 100 Hongkong Road, Jiangan District, Wuhan, 430016, Hubei, China
| | - Hong Mei
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, No. 100 Hongkong Road, Jiangan District, Wuhan, 430016, Hubei, China
| | - Anna Peng
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, No. 100 Hongkong Road, Jiangan District, Wuhan, 430016, Hubei, China
| | - Jinzhu Zhao
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jie Fang Avenue, Qiaokou District, Wuhan, 430030, China
| | - Yan Zhang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, No. 100 Hongkong Road, Jiangan District, Wuhan, 430016, Hubei, China
| | - Shaoping Yang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, No. 100 Hongkong Road, Jiangan District, Wuhan, 430016, Hubei, China.
| | - Meian He
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Qiaokou District, Wuhan, 430030, Hubei, China.
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Exposure to PM 2.5 and Obesity Prevalence in the Greater Mexico City Area. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18052301. [PMID: 33652701 PMCID: PMC7956483 DOI: 10.3390/ijerph18052301] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/21/2021] [Accepted: 02/23/2021] [Indexed: 11/24/2022]
Abstract
Exposure to PM2.5 has been associated with the prevalence of obesity. In the Greater Mexico City Area (GMCA), both are ranked among the highest in the world. Our aim was to analyze this association in children, adolescents, and adults in the GMCA. We used data from the 2006 and 2012 Mexican National Surveys of Health and Nutrition (ENSANUT). Participants’ past-year exposure to ambient PM2.5 was assessed using land use terms and satellite-derived aerosol optical depth estimates; weight and height were measured. We used survey-adjusted logistic regression models to estimate the odds ratios (ORs) of obesity (vs. normal-overweight) for every 10 µg/m3 increase in annual PM2.5 exposure for children, adolescents, and adults. Using a meta-analysis approach, we estimated the overall odds of obesity. We analyzed data representing 19.3 million and 20.9 million GMCA individuals from ENSANUT 2006 and 2012, respectively. The overall pooled estimate between PM2.5 exposure and obesity was OR = 1.96 (95% CI: 1.21, 3.18). For adolescents, a 10 µg/m3 increase in PM2.5 was associated with an OR of 3.53 (95% CI: 1.45, 8.58) and 3.79 (95% CI: 1.40, 10.24) in 2006 and 2012, respectively. More studies such as this are recommended in Latin American cities with similar air pollution and obesity conditions.
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33
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Mork D, Wilson A. Treed distributed lag nonlinear models. Biostatistics 2021; 23:754-771. [PMID: 33527997 DOI: 10.1093/biostatistics/kxaa051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 10/07/2020] [Accepted: 11/01/2020] [Indexed: 11/14/2022] Open
Abstract
In studies of maternal exposure to air pollution, a children's health outcome is regressed on exposures observed during pregnancy. The distributed lag nonlinear model (DLNM) is a statistical method commonly implemented to estimate an exposure-time-response function when it is postulated the exposure effect is nonlinear. Previous implementations of the DLNM estimate an exposure-time-response surface parameterized with a bivariate basis expansion. However, basis functions such as splines assume smoothness across the entire exposure-time-response surface, which may be unrealistic in settings where the exposure is associated with the outcome only in a specific time window. We propose a framework for estimating the DLNM based on Bayesian additive regression trees. Our method operates using a set of regression trees that each assume piecewise constant relationships across the exposure-time space. In a simulation, we show that our model outperforms spline-based models when the exposure-time surface is not smooth, while both methods perform similarly in settings where the true surface is smooth. Importantly, the proposed approach is lower variance and more precisely identifies critical windows during which exposure is associated with a future health outcome. We apply our method to estimate the association between maternal exposures to PM$_{2.5}$ and birth weight in a Colorado, USA birth cohort.
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Affiliation(s)
- Daniel Mork
- Statistics Department, Colorado State University, 1877 Campus Delivery, Fort Collins, CO, USA 80523
| | - Ander Wilson
- Statistics Department, Colorado State University, 1877 Campus Delivery, Fort Collins, CO, USA 80523
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Wang Q, Miao H, Warren JL, Ren M, Benmarhnia T, Knibbs LD, Zhang H, Zhao Q, Huang C. Association of maternal ozone exposure with term low birth weight and susceptible window identification. ENVIRONMENT INTERNATIONAL 2021; 146:106208. [PMID: 33129003 DOI: 10.1016/j.envint.2020.106208] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 10/09/2020] [Accepted: 10/10/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Ozone pollution keeps deteriorating in the context of climate change. Maternal ozone exposure may be associated with low birth weight (LBW), but the results are still inconsistent. The identification of the critical exposure windows, a specific period of particular susceptibility during pregnancy, remains unresolved. We aimed to evaluate whether ozone exposure was associated with term LBW and further identify the susceptible exposure windows. METHODS A retrospective cohort study was conducted in Guangzhou, a megacity in the most populous and economically developed city clusters in China. We included 444,096 singleton live births between January 2015 and July 2017. From 11 fixed stations, we collected daily 1-h maximum and 8-h maximum moving average ozone level (O3-1 h and O3-8 h) and calculated exposures for each participant based on their district of residence during pregnancy. We used traditional Logistic regression to estimate the trimester-specific association between ozone exposure and term LBW, and further estimated monthly- and weekly association by distributed lag models (DLMs) with Logistic regression. Odds ratios (ORs) and 95% confidence intervals (CIs) of term LBW were calculated for an interquartile range (IQR) increase in ozone exposure. Stratified analyses and heterogeneity tests were conducted by maternal age and infant sex. RESULTS The incidence of term LBW was 1.9%. During the study period, the mean O3-1 h and O3-8 h levels were 112.6 µg/m3 and 84.5 µg/m3, respectively. Increased O3-1 h (IQR: 90 µg/m3) and O3-8 h (73 µg/m3) exposure during the second trimester were associated with increased risk of term LBW. At a monthly level, the term LBW risk was associated with O3-1 h exposure during the 4th-6th month and O3-8 h exposure during the 6th month. By estimating the weekly-specific association, we observed that critical exposure windows were the 15th- 26th gestational weeks for O3-1 h, and the 20th-26th weeks for O3-8 h, respectively. Estimated ORs and 95% CIs ranged from 1.012 (1.000, 1.024) to 1.023 (1.007, 1.039). When examined by subgroups, the effects were present among women ≥ 35 years or < 25 years old and those with female babies. CONCLUSIONS This study provides compelling evidence that exposure to O3 was associated with increased risk of term LBW, and gestational weeks 15th- 26th was found to be particularly susceptible. These findings provide a research basis for further mechanism examination, public health interventions, and targeted environmental policy-making.
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Affiliation(s)
- Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Huazhang Miao
- Department of Healthcare, Guangdong Women and Children Hospital, Guangzhou, China
| | - Joshua L Warren
- Department of Biostatistics, Yale School of Public Health, New Haven, USA
| | - Meng Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health, University of California, San Diego, USA; Scripps Institution of Oceanography, University of California, San Diego, USA
| | - Luke D Knibbs
- School of Public Health, The University of Queensland, Brisbane, Australia
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Qingguo Zhao
- Epidemiological Research Office of Key Laboratory of Male Reproduction and Genetics (National Health and Family Planning Commission), Family Planning Research Institute of Guangdong Province/Family Planning Special Hospital of Guangdong Province, Guangzhou, China.
| | - Cunrui Huang
- School of Public Health, Sun Yat-sen University, Guangzhou, China; School of Public Health, Zhengzhou University, Zhengzhou, China; Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
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Abstract
Childhood obesity is a global health concern. Air pollution is also a crucial health threat, especially in developing countries. Over the past decade, a number of epidemiologic and animal studies have suggested a possible role of pre- or postnatal exposure to air pollutants on childhood obesity. Although no clear mechanism has been elucidated, physical inactivity, oxidative stress, and epigenetic modifications have been suggested as possible mechanisms by which obesity develops due to air pollution. In this review, we summarize and review previous epidemiologic studies linking air pollution and childhood obesity and discuss the possible mechanisms underlying air pollution-induced obesity based on in vivo and in vitro evidence.
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Affiliation(s)
- Moon Young Seo
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Shin-Hye Kim
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Mi Jung Park
- Department of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea
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Lee AG, Cowell W, Kannan S, Ganguri HB, Nentin F, Wilson A, Coull BA, Wright RO, Baccarelli A, Bollati V, Wright RJ. Prenatal particulate air pollution and newborn telomere length: Effect modification by maternal antioxidant intakes and infant sex. ENVIRONMENTAL RESEARCH 2020; 187:109707. [PMID: 32474316 PMCID: PMC7844769 DOI: 10.1016/j.envres.2020.109707] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 05/16/2020] [Accepted: 05/17/2020] [Indexed: 05/22/2023]
Abstract
BACKGROUND Evidence links gestational exposure to particulate matter with an aerodynamic diameter of less than 2.5 μm (PM2.5) with changes in leukocyte telomere length in cord blood with some studies showing sex-specific effects. PM2.5 exposure in utero increases oxidative stress, which can impact telomere biology. Thus, maternal antioxidant intakes may also modify the particulate air pollution effects. METHODS We examined associations among prenatal PM2.5 exposure and newborn relative leukocyte telomere length (rLTL), and the modifying effects of maternal antioxidant intake and infant sex. We estimated daily PM2.5 exposures over gestation using a validated spatiotemporally resolved satellite-based model. Maternal dietary and supplemental antioxidant intakes over the prior three months were ascertained during the second trimester using the modified Block98 food frequency questionnaire; high and low antioxidant intakes were categorized based on a median split. We employed Bayesian distributed lag interaction models (BDLIMs) to identify both sensitive windows of exposure and cumulative effect estimates for prenatal PM2.5 exposure on newborn rLTL, and to examine effect modification by maternal antioxidant intakes. A 3-way interaction between PM2.5, maternal antioxidant intake and infant sex was also explored. RESULTS For the main effect of PM2.5, BDLIMs identified a sensitive window at 12-20 weeks gestation for the association between increased prenatal PM2.5 exposure and shorter newborn rLTL and a cumulative effect of PM2.5 over gestation on newborn telomere length [cumulative effect estimate (CEE) = -0.29 (95% CI -0.49 to -0.10) per 1μg/m3 increase in PM2.5]. In models examining maternal antioxidant intake effects, BDLIMs found that children born to mothers reporting low antioxidant intakes were most vulnerable [CEE of low maternal antioxidant intake = -0.31 (95% CI -0.55 to -0.06) vs high maternal antioxidant intake = -0.07 (95% CI -0.34 to 0.17) per 1μg/m3 increase in PM2.5]. In exploratory models examining effect modification by both maternal antioxidant intakes and infant sex, the cumulative effect remained significant only in boys whose mothers reported low antioxidant intakes [CEE = -0.38 (95% CI -0.80 to -0.004)]; no sensitive windows were identified in any group. CONCLUSIONS Prenatal PM2.5 exposure in mid-gestation was associated with reduced infant telomere length. Higher maternal antioxidant intakes mitigated these effects.
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Affiliation(s)
- Alison G Lee
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Whitney Cowell
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Srimathi Kannan
- Department of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | | | - Farida Nentin
- Department of Obstetrics, Gynecology, and Reproductive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Brent A Coull
- Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrea Baccarelli
- Departments of Environmental Health Sciences and Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Valentina Bollati
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Kravis Children's Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Fossati S, Valvi D, Martinez D, Cirach M, Estarlich M, Fernández-Somoano A, Guxens M, Iñiguez C, Irizar A, Lertxundi A, Nieuwenhuijsen M, Tamayo I, Vioque J, Tardón A, Sunyer J, Vrijheid M. Prenatal air pollution exposure and growth and cardio-metabolic risk in preschoolers. ENVIRONMENT INTERNATIONAL 2020; 138:105619. [PMID: 32193046 DOI: 10.1016/j.envint.2020.105619] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 01/26/2020] [Accepted: 02/27/2020] [Indexed: 05/06/2023]
Abstract
OBJECTIVES We investigated the association between outdoor air pollutants exposure in the first trimester of pregnancy, and growth and cardio-metabolic risk at four years of age, and evaluated the mediating role of birth weight. METHODS We included mother-child pairs (N = 1,724) from the Spanish INMA birth cohort established in 2003-2008. First trimester of pregnancy nitrogen dioxide (NO2) and fine particles (PM2.5) exposure levels were estimated. Height, weight, waist circumference, blood pressure, and lipids were measured at four years of age. Body mass index (BMI) trajectories from birth to four years were identified. RESULTS Increased PM2.5 exposure in the first trimester of pregnancy was associated with decreased z-scores of weight (zWeight) and BMI (zBMI) (zWeight change per interquartile range increase in PM2.5 exposure = -0.12; 95% CI: -0.23, -0.01; zBMI change = -0.12; 95% CI: -0.23, -0.01). Higher NO2 and PM2.5 exposure was associated to a reduced risk of being in a trajectory with accelerated BMI gain, compared to children with the average trajectory. Birth weight partially mediated the association between PM2.5 and zWeight and zBMI. PM2.5 and NO2 were not associated with the other cardio-metabolic risk factors. CONCLUSIONS This comprehensive study of many growth and cardio-metabolic risk related outcomes suggests that air pollution exposure during pregnancy may be associated with delays in physical growth in the early years after birth. These findings imply that pregnancy exposure to air pollutants has a lasting effect on growth after birth and require follow-up at later child ages.
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Affiliation(s)
- Serena Fossati
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - David Martinez
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marta Cirach
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marisa Estarlich
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Nursing, Faculty of Nursing and Chiropody, University of Valencia; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, 46020, Spain
| | - Ana Fernández-Somoano
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; IUOPA-Departamento de Medicina, University of Oviedo, Oviedo, Spain; Institute of Health Research of the Principality of Asturias - Foundation for Biosanitary Research of Asturias (ISPA-FINBA), Oviedo, Spain
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Carmen Iñiguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Statistics and Computational Research, Universitat de València, Valencia, Spain
| | - Amaia Irizar
- Biodonostia Health Research Institute, Donostia, Spain
| | - Aitana Lertxundi
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Biodonostia Health Research Institute, Donostia, Spain; Faculty of Medicine and Nursing of the University of the Basque Country, Bilbao, Spain
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Ibon Tamayo
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Division of Immunology and Immunotherapy, Cima, Universidad de Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
| | - Jesus Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Universidad Miguel Hernandez, ISABIAL-FISABIO, Alicante, Spain
| | - Adonina Tardón
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain; IUOPA-Departamento de Medicina, University of Oviedo, Oviedo, Spain; Institute of Health Research of the Principality of Asturias - Foundation for Biosanitary Research of Asturias (ISPA-FINBA), Oviedo, Spain
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
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Rosa MJ, Hair GM, Just AC, Kloog I, Svensson K, Pizano-Zárate ML, Pantic I, Schnaas L, Tamayo-Ortiz M, Baccarelli AA, Tellez-Rojo MM, Wright RO, Sanders AP. Identifying critical windows of prenatal particulate matter (PM 2.5) exposure and early childhood blood pressure. ENVIRONMENTAL RESEARCH 2020; 182:109073. [PMID: 31881529 PMCID: PMC7024649 DOI: 10.1016/j.envres.2019.109073] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 12/19/2019] [Accepted: 12/20/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND Exposure to air pollution is associated with increased blood pressure (BP) in adults and children. Some evidence suggests that air pollution exposure during the prenatal period may contribute to adverse cardiorenal health later in life. Here we apply a distributed lag model (DLM) approach to identify critical windows that may underlie the association between prenatal particulate matter ≤ 2.5 μm in diameter (PM2.5) exposure and children's BP at ages 4-6 years. METHODS Participants included 537 mother-child dyads enrolled in the Programming Research in Obesity, GRowth Environment, and Social Stress (PROGRESS) longitudinal birth cohort study based in Mexico City. Prenatal daily PM2.5 exposure was estimated using a validated satellite-based spatio-temporal model and BP was measured using the automated Spacelabs system with a sized cuff. We used distributed lag models (DLMs) to examine associations between daily PM2.5 exposure and systolic and diastolic BP (SBP and DBP), adjusting for child's age, sex and BMI, as well as maternal education, preeclampsia and indoor smoking report during the second and third trimester, seasonality and average postnatal year 1 PM2.5 exposure. RESULTS We found that PM2.5 exposure between weeks 11-32 of gestation (days 80-226) was significantly associated with children's increased SBP. Similarly, PM2.5 exposure between weeks 9-25 of gestation (days 63-176) was significantly associated with increased DBP. To place this into context, a constant 10 μg/m3 increase in PM2.5 sustained throughout this critical window would predict a cumulative increase of 2.6 mmHg (CI: 0.5, 4.6) in SBP and 0.88 mmHg (CI: 0.1, 1.6) in DBP at ages 4-6 years. In a stratified analysis by sex, this association persisted in boys but not in girls. CONCLUSIONS Second and third trimester PM2.5 exposure may increase children's BP in early life. Further work investigating PM2.5 exposure with BP trajectories later in childhood will be important to understanding cardiorenal trajectories that may predict adult disease. Our results underscore the importance of reducing air pollution exposure among susceptible populations, including pregnant women.
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Affiliation(s)
- Maria José Rosa
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Gleicy Macedo Hair
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, P.O.B., Beer Sheva, Israel
| | | | - María Luisa Pizano-Zárate
- Division of Community Interventions Research, National Institute of Perinatology, Mexico City, Mexico
| | - Ivan Pantic
- Division of Community Interventions Research, National Institute of Perinatology, Mexico City, Mexico
| | - Lourdes Schnaas
- Division of Community Interventions Research, National Institute of Perinatology, Mexico City, Mexico
| | - Marcela Tamayo-Ortiz
- National Council of Science and Technology (CONACYT), National Institute of Public Health (INSP), Cuernavaca, Morelos, Mexico; Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Martha M Tellez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Robert O Wright
- 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, USA
| | - Alison P Sanders
- 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, USA
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Prenatal Ambient Particulate Matter Exposure and Longitudinal Weight Growth Trajectories in Early Childhood. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17041444. [PMID: 32102302 PMCID: PMC7068568 DOI: 10.3390/ijerph17041444] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 02/19/2020] [Accepted: 02/20/2020] [Indexed: 12/12/2022]
Abstract
Air pollution exposure during pregnancy has been associated with impaired fetal growth and postnatal weight gain, but few studies have examined the effect on weight growth trajectories. We examine the association between validated 1 km2 resolution particulate matter (PM2.5) concentrations, averaged over pregnancy, and sex-specific growth trajectories from birth to age six of participants in the Boston-based Children's HealthWatch cohort (4797 participants, 84,283 measures). We compared weight trajectories, predicted using polynomial splines in mixed models, between prenatal PM2.5 above or below the median (9.5 µg/m3), and examined birth weight as an effect modifier. Females exposed to average prenatal PM2.5 ≥ 9.5 µg/m3 had higher weights compared to females exposed to < 9.5 µg/m3 throughout the study period (0.16 kg at 24 months, 0.61 kg at 60 months). In males, higher prenatal PM2.5 exposure was associated with significantly lower weights after 24 months of age, with differences increasing with time (-0.17 at 24 months, -0.72 kg at 60 months). Associations were more pronounced among low birth weight (<2500 g) females, but did not differ by birth weight status in males. Our findings demonstrate the complex association between air pollution exposures and childhood weight trajectories and emphasize the importance of sex-stratified analyses.
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Padula AM, Monk C, Brennan PA, Borders A, Barrett ES, McEvoy C, Foss S, Desai P, Alshawabkeh A, Wurth R, Salafia C, Fichorova R, Varshavsky J, Kress A, Woodruff TJ, Morello-Frosch R. A review of maternal prenatal exposures to environmental chemicals and psychosocial stressors-implications for research on perinatal outcomes in the ECHO program. J Perinatol 2020; 40:10-24. [PMID: 31616048 PMCID: PMC6957228 DOI: 10.1038/s41372-019-0510-y] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 08/08/2019] [Accepted: 08/15/2019] [Indexed: 01/18/2023]
Abstract
Exposures to environmental chemicals and psychosocial stressors during pregnancy have been individually associated with adverse perinatal outcomes related to birthweight and gestational age, but are not often considered in combination. We review types of psychosocial stressors and instruments used to assess them and classes of environmental chemical exposures that are known to adversely impact perinatal outcomes, and identify studies relevant studies. We discuss the National Institutes of Health's Environmental influences on Child Health Outcomes (ECHO) program that has combined existing longitudinal cohorts that include more than 50,000 children across the U.S. We describe future opportunities for investigators to use this important new resource for addressing relevant and critical research questions to maternal health. Of the 84 cohorts in ECHO, 38 collected data on environmental chemicals and psychosocial stressors and perinatal outcomes. The diverse ECHO pregnancy cohorts provide capacity to compare regions with distinct place-based environmental and social stressors.
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Affiliation(s)
- Amy M. Padula
- University of California San Francisco, San Francisco, CA
USA
| | | | | | - Ann Borders
- North Shore University Health System, Evanston, IL,
USA
| | | | | | - Sophie Foss
- Columbia University Medical Center, New York, NY, USA
| | - Preeya Desai
- Columbia University Medical Center, New York, NY, USA
| | | | | | | | - Raina Fichorova
- Brigham and Women’s Hospital and Harvard Medical
School, Boston, MA, USA
| | | | - Amii Kress
- Johns Hopkins University, Baltimore, MD, USA
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Moody EC, Cantoral A, Tamayo-Ortiz M, Pizano-Zárate ML, Schnaas L, Kloog I, Oken E, Coull B, Baccarelli A, Téllez-Rojo MM, Wright RO, Just AC. Association of Prenatal and Perinatal Exposures to Particulate Matter With Changes in Hemoglobin A1c Levels in Children Aged 4 to 6 Years. JAMA Netw Open 2019; 2:e1917643. [PMID: 31851346 PMCID: PMC6991256 DOI: 10.1001/jamanetworkopen.2019.17643] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
IMPORTANCE Environmental risk factors for childhood type 2 diabetes, an increasing global problem, are understudied. Air pollution exposure has been reported to be a risk factor for this condition. OBJECTIVE To examine the association between prenatal and perinatal exposures to fine particulate matter with a diameter less than 2.5 μm (PM2.5) and changes in hemoglobin A1c (HbA1c), a measure of glycated hemoglobin and marker of glucose dysregulation, in children aged 4 to 7 years. DESIGN, SETTING, AND PARTICIPANTS The Programming Research in Obesity, Growth, Environment, and Social Stressors (PROGRESS) study, a birth cohort study conducted in Mexico City, Mexico, recruited pregnant women from July 3, 2007, to February 21, 2011, through public health maternity clinics. The present analysis includes 365 mother-child pairs followed up until the child was approximately 7 years of age. This study included data from only study visits at approximately 4 to 5 years (visit 1) and 6 to 7 years (visit 2) post partum because HbA1c levels were not measured in earlier visits. The data were analyzed from March 11, 2018, to May 3, 2019. EXPOSURES Daily PM2.5 exposure estimates at participants' home addresses from 4 weeks prior to mothers' date of last menstrual period (LMP), a marker of the beginning of pregnancy, to 12 weeks after the due date. Exposure was estimated from satellite measurements and calibrated against ground PM2.5 measurements, land use, and meteorological variables. MAIN OUTCOMES AND MEASURES Outcomes included HbA1c levels at 4 to 5 years and 6 to 7 years of age, and the change in the level from the former age group to the latter. RESULTS The sample included 365 children, of whom 184 (50.4%) were girls. The mean (range) age of the children was 4.8 (4.0-6.4) years at visit 1, and 6.7 (6.0-9.7) years at visit 2. At the time of delivery, the mean (range) age of the mothers was 27.7 (18.3-44.4) years, with a mean (range) prepregnancy body mass index of 26.4 (18.5-43.5). The mean (SD) prenatal PM2.5 exposure (22.4 μg/m3 [2.7 μg/m3]) was associated with an annual increase in HbA1c levels of 0.25% (95% CI, 0.004%-0.50%) from age 4 to 5 years to 6 to 7 years compared with exposure at 12 μg/m3, the national regulatory standard in Mexico. Sex-specific effect estimates were statistically significant for girls (β = 0.21%; 95% CI, 0.10% to 0.32%) but not for boys (β = 0.31%; 95% CI, -0.09% to 0.72%). The statistically significant windows of exposure were from week 28 to 50.6 after the mother's LMP for the overall cohort and from week 11 to the end of the study period for girls. Lower HbA1c levels were observed at age 4 to 5 years in girls (β = -0.72%; 95% CI, -1.31% to -0.13%, exposure window from week 16 to 37.3) and boys (β = -0.98%; 95% CI, -1.70% to -0.26%, exposure window from the beginning of the study period to week 32.7), but no significant association was found in the overall cohort (β = -0.13%; 95% CI, -1.27% to 1.01%). There was no significant association between PM2.5 exposure and HbA1c level at age 6 to 7 years in any group. CONCLUSIONS AND RELEVANCE The findings of this study suggest that prenatal and perinatal exposures to PM2.5 are associated with changes in HbA1c, which are indicative of glucose dysregulation, in early childhood. Further research is needed because this finding may represent a risk factor for childhood or adolescent diabetes.
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Affiliation(s)
- Emily C. Moody
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alejandra Cantoral
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
- National Council of Science and Technology, Mexico City, Mexico
| | - Marcela Tamayo-Ortiz
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
- National Council of Science and Technology, Mexico City, Mexico
| | - Ma. Luisa Pizano-Zárate
- Division of Community Interventions Research, National Institute of Perinatology, Mexico City, Mexico
| | - Lourdes Schnaas
- Division of Community Interventions Research, National Institute of Perinatology, Mexico City, Mexico
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Geography & Human Environment, Ben Gurion University of the Negev, Be’er Sheva, Israel
| | - Emily Oken
- Harvard Medical School and Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Brent Coull
- Department of Biostatistics and Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Martha M. Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Allan C. Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
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Protective Effect of Breastfeeding on the Adverse Health Effects Induced by Air Pollution: Current Evidence and Possible Mechanisms. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16214181. [PMID: 31671856 PMCID: PMC6862650 DOI: 10.3390/ijerph16214181] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 10/22/2019] [Accepted: 10/25/2019] [Indexed: 02/08/2023]
Abstract
Air pollution is a major social, economic, and health problem around the world. Children are particularly susceptible to the negative effects of air pollution due to their immaturity and excessive growth and development. The aims of this narrative review were to: (1) summarize evidence about the protective effects of breastfeeding on the adverse health effects of air pollution exposure, (2) define and describe the potential mechanisms underlying the protective effects of breastfeeding, and (3) examine the potential effects of air pollution on breastmilk composition and lactation. A literature search was conducted using electronic databases. Existing evidence suggests that breastfeeding has a protective effect on adverse outcomes of indoor and outdoor air pollution exposure in respiratory (infections, lung function, asthma symptoms) and immune (allergic, nervous and cardiovascular) systems, as well as under-five mortality in both developing and developed countries. However, some studies reported no protective effect of breastfeeding or even negative effects of breastfeeding for under-five mortality. Several possible mechanisms of the breastfeeding protective effect were proposed, including the beneficial influence of breastfeeding on immune, respiratory, and nervous systems, which are related to the immunomodulatory, anti-inflammatory, anti-oxidant, and neuroprotective properties of breastmilk. Breastmilk components responsible for its protective effect against air pollutants exposure may be long chain polyunsaturated fatty acids (LC PUFA), antioxidant vitamins, carotenoids, flavonoids, immunoglobins, and cytokines, some of which have concentrations that are diet-dependent. However, maternal exposure to air pollution is related to increased breastmilk concentrations of pollutants (e.g., Polycyclic aromatic hydrocarbons (PAHs) or heavy metals in particulate matter (PM)). Nonetheless, environmental studies have confirmed that breastmilk’s protective effects outweigh its potential health risk to the infant. Mothers should be encouraged and supported to breastfeed their infants due to its unique health benefits, as well as its limited ecological footprint, which is associated with decreased waste production and the emission of pollutants.
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Cowell WJ, Brunst KJ, Malin AJ, Coull BA, Gennings C, Kloog I, Lipton L, Wright RO, Enlow MB, Wright RJ. Prenatal Exposure to PM2.5 and Cardiac Vagal Tone during Infancy: Findings from a Multiethnic Birth Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2019; 127:107007. [PMID: 31663780 PMCID: PMC6867319 DOI: 10.1289/ehp4434] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 09/19/2019] [Accepted: 09/19/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND The autonomic nervous system plays a key role in maintaining homeostasis and responding to external stimuli. In adults, exposure to fine particulate matter (PM2.5) has been associated with reduced heart rate variability (HRV), an indicator of cardiac autonomic control. OBJECTIVES Our goal was to investigate the associations of exposure to fine particulate matter (PM2.5) with HRV as an indicator of cardiac autonomic control during early development. METHODS We studied 237 maternal-infant pairs in a Boston-based birth cohort. We estimated daily residential PM2.5 using satellite data in combination with land-use regression predictors. In infants at 6 months of age, we measured parasympathetic nervous system (PNS) activity using continuous electrocardiogram monitoring during the Repeated Still-Face Paradigm, an experimental protocol designed to elicit autonomic reactivity in response to maternal interaction and disengagement. We used multivariable linear regression to examine average PM2.5 exposure across pregnancy in relation to PNS withdrawal and activation, indexed by changes in respiration-corrected respiratory sinus arrhythmia (RSAc)-an established metric of HRV that reflects cardiac vagal tone. We examined interactions with infant sex using cross-product terms. RESULTS In adjusted models we found that a 1-unit increase in PM2.5 (in micrograms per cubic meter) was associated with a 3.53% decrease in baseline RSAc (95% CI: -6.96, 0.02). In models examining RSAc change between episodes, higher PM2.5 was generally associated with reduced PNS withdrawal during stress and reduced PNS activation during recovery; however, these associations were not statistically significant. We did not observe a significant interaction between PM2.5 and sex. DISCUSSION Prenatal exposure to PM2.5 may disrupt cardiac vagal tone during infancy. Future research is needed to replicate these preliminary findings. https://doi.org/10.1289/EHP4434.
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Affiliation(s)
- Whitney J. Cowell
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kelly J. Brunst
- Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Ashley J. Malin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Brent A. Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Chris Gennings
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Faculty of Humanities and Social Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Lianna Lipton
- Department of Pediatrics, Kravis Children’s Hospital, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Michelle Bosquet Enlow
- Department of Psychiatry, Boston Children’s Hospital, Boston, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Rosalind J. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Pediatrics, Kravis Children’s Hospital, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Sears CG, Mueller-Leonhard C, Wellenius GA, Chen A, Ryan P, Lanphear BP, Braun JM. Early-life exposure to traffic-related air pollution and child anthropometry. Environ Epidemiol 2019; 3:e061. [PMID: 32885129 PMCID: PMC7461703 DOI: 10.1097/ee9.0000000000000061] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 07/22/2019] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Early-life exposure to traffic-related air pollution may decrease fetal growth and increase childhood obesity risk. Our objective was to evaluate the relationship of early-life exposure to traffic-related air pollution with birthweight in term newborns and obesity at age 7-8 years in two prospective birth cohorts in Cincinnati, OH (the Health Outcomes and Measures of the Environment (HOME) Study and Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS)). METHODS We estimated elemental carbon attributable to traffic (ECAT) exposure at residential addresses during pregnancy with a validated land use regression model. We assessed birthweight among term infants using birth records or parent report (HOME Study n= 333 and CCAAPS n=590). We measured children's weight and height at 7-8 years, and calculated age- and sex-specific BMI z-scores (HOME Study n= 198 and CCAAPS n=459). Using multivariable linear regression, we estimated the difference in term birthweight and BMI z-score per interquartile range (IQR) increase in ECAT concentrations in each cohort separately and in the pooled sample. RESULTS In adjusted models, ECAT exposure was not associated with lower birthweight (pooled sample β: 30g; 95% CI: -6, 66), or with higher BMI z-score (pooled sample β: -0.04; 95% CI: -0.15, 0.08). Infant sex modified the association between ECAT and birthweight (p=0.05). Among male newborns, higher ECAT concentrations were associated with higher birthweight (β: 61g; 95% CI: 9, 113), but we observed no association among female newborns (β: -9g; 95% CI: -58, 41). CONCLUSIONS In contrast to some prior studies, early-life traffic-related air pollution exposure was not associated with lower birthweight or increased childhood adiposity in these two cohorts.
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Affiliation(s)
- Clara G Sears
- Department of Epidemiology, Brown University, Providence, RI, United States
| | | | | | - Aimin Chen
- Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Patrick Ryan
- Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, OH, United States
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Bruce P Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, RI, United States
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Rundle AG, Gallagher D, Herbstman JB, Goldsmith J, Holmes D, Hassoun A, Oberfield S, Miller RL, Andrews H, Widen EM, Hoepner LA, Perera F. Prenatal exposure to airborne polycyclic aromatic hydrocarbons and childhood growth trajectories from age 5-14 years. ENVIRONMENTAL RESEARCH 2019; 177:108595. [PMID: 31352299 PMCID: PMC7393736 DOI: 10.1016/j.envres.2019.108595] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2019] [Revised: 07/17/2019] [Accepted: 07/18/2019] [Indexed: 05/05/2023]
Abstract
There is evidence that exposures to polycyclic aromatic hydrocarbons (PAH) and fine particles in air pollution are associated with higher childhood body mass index (BMI). Birth cohort analyses of prenatal exposures to PAH and child BMI Z-scores from age 5-14 years were conducted. African-American and Hispanic children born in the Bronx or Northern Manhattan, New York (1998-2006), whose mothers underwent personal air monitoring for airborne PAH exposure during pregnancy, were followed up with measurements of height and weight at approximate ages 5, 7, 9, 10, 11, 12.5 and 13.5 years. Multivariable generalized estimating equation analyses were used to relate prenatal airborne PAH exposures to child BMI Z-scores through time. The analyses adjusted for many known risk factors for childhood obesity and included interactions terms between age and exposure tertiles and age squared and exposure tertiles. In total, 535 children had at least one height and weight measure during follow-up. The prevalence of obesity was 20.6% at age 5 and increased across follow-ups until age 11 when it was 33.0%. At age 5, BMI Z-scores were significantly greater for children in the third tertile of exposure relative to the first tertile (0.35 Z-score units, 95% CI 0.09, 0.61, p = 0.007) and were non-significantly higher for the second tertile of exposure compared to the first tertile (0.25 Z-score units, 95% CI -0.02, 0.52, P = 0.075). The trajectories of BMI Z-scores by tertiles of exposure converged as the children aged, such that by age 11 years the estimated mean BMI Z-scores associated with each tertile of exposure were not different. Prenatal exposures to airborne PAH were associated with higher childhood BMI Z-scores at a young age, but growth trajectories converged by age 11 years. Accordingly, highly exposed children spend a greater proportion of their childhood with higher BMI Z-scores.
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Affiliation(s)
- Andrew G Rundle
- Columbia University Mailman School of Public Health, New York, United States.
| | - Dympna Gallagher
- Columbia University Vagelos College of Physicians & Surgeons, New York, United States.
| | - Julie B Herbstman
- Columbia University Mailman School of Public Health, New York, United States.
| | - Jeff Goldsmith
- Columbia University Mailman School of Public Health, New York, United States.
| | - Darrell Holmes
- Columbia University Mailman School of Public Health, New York, United States.
| | - Abeer Hassoun
- Columbia University Vagelos College of Physicians & Surgeons, New York, United States.
| | - Sharon Oberfield
- Columbia University Vagelos College of Physicians & Surgeons, New York, United States.
| | - Rachel L Miller
- Columbia University Vagelos College of Physicians & Surgeons, New York, United States.
| | - Howard Andrews
- Columbia University Mailman School of Public Health, New York, United States.
| | | | - Lori A Hoepner
- SUNY Downstate Medical Center, School of Public Health, Brooklyn, United States.
| | - Frederica Perera
- Columbia University Mailman School of Public Health, New York, United States.
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Wilding S, Ziauddeen N, Smith D, Roderick P, Alwan NA. Maternal and early-life area-level characteristics and childhood adiposity: A systematic review. Obes Rev 2019; 20:1093-1105. [PMID: 31034734 PMCID: PMC6612509 DOI: 10.1111/obr.12861] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 02/22/2019] [Accepted: 03/07/2019] [Indexed: 12/15/2022]
Abstract
There is a cross-sectional evidence that physical and social environments are linked to childhood adiposity. Evidence is scarce for the role of preconception, pregnancy, and early-life area-level characteristics in shaping childhood adiposity. We aimed to systematically review evidence for associations between physical and social environmental conditions experienced in these periods and childhood adiposity. Published literature was identified from the CINAHL, Embase, MEDLINE, and PsycINFO databases. Longitudinal studies linking an area-level environmental exposure in the preconception, pregnancy, or early-life (less than 1 year) periods and a measure of adiposity between the ages of 2 and 12 years were examined. Eight studies in the United States, Denmark, South Korea, United Kingdom, and Canada satisfied the inclusion criteria. Storm-induced maternal stress, nitrogen oxides exposure, traffic noise, and proximity were associated with greater childhood adiposity. Frequent neighbourhood disturbances were associated with lower adiposity, while particulate matter exposure was associated with both higher and lower adiposity in childhood. Area-level characteristics may play a role in the ongoing obesity epidemic. There is a limited evidence of longitudinal associations between preconception, pregnancy, and early-life area-level characteristics with childhood adiposity. Numerous factors that appear important in cross-sectional research have yet to be assessed longitudinally, both individually and in combination.
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Affiliation(s)
- Sam Wilding
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Nida Ziauddeen
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Dianna Smith
- School of Geography and Environmental Science, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Paul Roderick
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Nisreen A Alwan
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
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Abstract
PURPOSE OF REVIEW A growing body of epidemiological and experimental data indicate that nutritional or environmental stressors during early development can induce long-term adaptations that increase risk of obesity, diabetes, cardiovascular disease, and other chronic conditions-a phenomenon termed "developmental programming." A common phenotype in humans and animal models is altered body composition, with reduced muscle and bone mass, and increased fat mass. In this review, we summarize the recent literature linking prenatal factors to future body composition and explore contributing mechanisms. RECENT FINDINGS Many prenatal exposures, including intrauterine growth restriction, extremes of birth weight, maternal obesity, and maternal diabetes, are associated with increased fat mass, reduced muscle mass, and decreased bone density, with effects reported throughout infancy and childhood, and persisting into middle age. Mechanisms and mediators include maternal diet, breastmilk composition, metabolites, appetite regulation, genetic and epigenetic influences, stem cell commitment and function, and mitochondrial metabolism. Differences in body composition are a common phenotype following disruptions to the prenatal environment, and may contribute to developmental programming of obesity and diabetes risk.
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Affiliation(s)
- Elvira Isganaitis
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
- Research Division, Joslin Diabetes Center, 1 Joslin Place, Room 655A, Boston, 02215, MA, USA.
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Xu Y, Wang W, Chen M, Zhou J, Huang X, Tao S, Pan B, Li Z, Xie X, Li W, Kan H, Ying Z. Developmental programming of obesity by maternal exposure to concentrated ambient PM 2.5 is maternally transmitted into the third generation in a mouse model. Part Fibre Toxicol 2019; 16:27. [PMID: 31266526 PMCID: PMC6604135 DOI: 10.1186/s12989-019-0312-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 06/21/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Obesity is an uncontrolled global epidemic and one of the leading global public health challenges. Maternal exposure to ambient fine particulate matter (PM2.5) may adversely program offspring's adiposity, suggesting a specialized role of PM2.5 pollution in the global obesity epidemic. However, the vulnerable window for this adverse programming and how it is cross-generationally transmitted have not been determined. Therefore, in the present study, female C57Bl/6 J mice were exposed to filtered air (FA) or concentrated ambient PM2.5 (CAP) during different periods, and the development and adulthood adiposity of their four-generational offspring were assessed. RESULTS Our data show that the pre-conceptional but not gestational exposure to CAP was sufficient to cause male but not female offspring's low birth weight, accelerated postnatal weight gain, and increased adulthood adiposity. These adverse developmental traits were transmitted into the F2 offspring born by the female but not male F1 offspring of CAP-exposed dams. In contrast, no adverse development was noted in the F3 offspring. CONCLUSIONS The present study identified a pre-conceptional window for the adverse programming of adiposity by maternal exposure to PM2.5, and showed that it was maternally transmitted into the third generation. These data not only call special attention to the protection of women from exposure to PM2.5, but also may facilitate the development of intervention to prevent this adverse programming.
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Affiliation(s)
- Yanyi Xu
- Department of Environmental Health, School of Public Health, Fudan University, 130 Dong’an Rd, Shanghai, 200032 China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Wanjun Wang
- Department of Environmental Health, School of Public Health, Fudan University, 130 Dong’an Rd, Shanghai, 200032 China
| | - Minjie Chen
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, 20 Penn St. HSFII S005, Baltimore, MD 21201 USA
| | - Ji Zhou
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Xingke Huang
- Department of Environmental Health, School of Public Health, Fudan University, 130 Dong’an Rd, Shanghai, 200032 China
| | - Shimin Tao
- NHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, Shanghai, China
| | - Bin Pan
- Department of Environmental Health, School of Public Health, Fudan University, 130 Dong’an Rd, Shanghai, 200032 China
| | - Zhouzhou Li
- Department of Environmental Health, School of Public Health, Fudan University, 130 Dong’an Rd, Shanghai, 200032 China
| | - Xiaoyun Xie
- Department of Interventional & Vascular Surgery, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Weihua Li
- NHC Key Laboratory of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Fudan University, Shanghai, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, 130 Dong’an Rd, Shanghai, 200032 China
| | - Zhekang Ying
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, 20 Penn St. HSFII S005, Baltimore, MD 21201 USA
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Statistical Approaches for Investigating Periods of Susceptibility in Children's Environmental Health Research. Curr Environ Health Rep 2019; 6:1-7. [PMID: 30684243 DOI: 10.1007/s40572-019-0224-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW Children's environmental health researchers are increasingly interested in identifying time intervals during which individuals are most susceptible to adverse impacts of environmental exposures. We review recent advances in methods for assessing susceptible periods. RECENT FINDINGS We identified three general classes of modeling approaches aimed at identifying susceptible periods in children's environmental health research: multiple informant models, distributed lag models, and Bayesian approaches. Benefits over traditional regression modeling include the ability to formally test period effect differences, to incorporate highly time-resolved exposure data, or to address correlation among exposure periods or exposure mixtures. Several statistical approaches exist for investigating periods of susceptibility. Assessment of susceptible periods would be advanced by additional basic biological research, further development of statistical methods to assess susceptibility to complex exposure mixtures, validation studies evaluating model assumptions, replication studies in different populations, and consideration of susceptible periods from before conception to disease onset.
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Rosa MJ, Hsu HHL, Just AC, Brennan KJ, Bloomquist T, Kloog I, Pantic I, Mercado García A, Wilson A, Coull BA, Wright RO, Téllez Rojo MM, Baccarelli AA, Wright RJ. Association between prenatal particulate air pollution exposure and telomere length in cord blood: Effect modification by fetal sex. ENVIRONMENTAL RESEARCH 2019; 172:495-501. [PMID: 30852452 PMCID: PMC6511309 DOI: 10.1016/j.envres.2019.03.003] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 01/18/2019] [Accepted: 03/01/2019] [Indexed: 05/20/2023]
Abstract
INTRODUCTION In utero particulate matter exposure produces oxidative stress that impacts cellular processes that include telomere biology. Newborn telomere length is likely critical to an individual's telomere biology; reduction in this initial telomere setting may signal increased susceptibility to adverse outcomes later in life. We examined associations between prenatal particulate matter with diameter ≤2.5 µm (PM2.5) and relative leukocyte telomere length (LTL) measured in cord blood using a data-driven approach to characterize sensitive windows of prenatal PM2.5 effects and explore sex differences. METHODS Women who were residents of Mexico City and affiliated with the Mexican Social Security System were recruited during pregnancy (n = 423 for analyses). Mothers' prenatal exposure to PM2.5 was estimated based on residence during pregnancy using a validated satellite-based spatio-temporally resolved prediction model. Leukocyte DNA was extracted from cord blood obtained at delivery. Duplex quantitative polymerase chain reaction was used to compare the relative amplification of the telomere repeat copy number to single gene (albumin) copy number. A distributed lag model incorporating weekly averages for PM2.5 over gestation was used in order to explore sensitive windows. Sex-specific associations were examined using Bayesian distributed lag interaction models. RESULTS In models that included child's sex, mother's age at delivery, prenatal environmental tobacco smoke exposure, pre-pregnancy BMI, gestational age, birth season and assay batch, we found significant associations between higher PM2.5 exposure during early pregnancy (4-9 weeks) and shorter LTL in cord blood. We also identified two more windows at 14-19 and 34-36 weeks in which increased PM2.5 exposure was associated with longer LTL. In stratified analyses, the mean and cumulative associations between PM2.5 and shortened LTL were stronger in girls when compared to boys. CONCLUSIONS Increased PM2.5 during specific prenatal windows was associated with shorter LTL and longer LTL. PM2.5 was more strongly associated with shortened LTL in girls when compared to boys. Understanding sex and temporal differences in response to air pollution may provide unique insight into mechanisms.
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Affiliation(s)
- Maria José Rosa
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Hsiao-Hsien Leon Hsu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Kasey J Brennan
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Tessa Bloomquist
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, P.O.B. 653, Beer Sheva, Israel.
| | - Ivan Pantic
- Department of Developmental Neurobiology, National Institute of Perinatology, Mexico City, Mexico
| | - Adriana Mercado García
- Center for Nutrition and Health Research, National Institute of Public Health, Ministry of Health, Cuernavaca, Morelos, Mexico.
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA.
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Robert O 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.
| | - Martha María Téllez Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Ministry of Health, Cuernavaca, Morelos, Mexico.
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, 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; Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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