Adolescent follow-up in the Health Outcomes and Measures of the Environment (HOME) Study: cohort profile

Joseph M Braun, Jessie P Buckley, Kim M Cecil, Aimin Chen, Heidi J Kalkwarf, Bruce P Lanphear, Yingying Xu, Anastasia Woeste, Kimberly Yolton, Joseph M Braun, Jessie P Buckley, Kim M Cecil, Aimin Chen, Heidi J Kalkwarf, Bruce P Lanphear, Yingying Xu, Anastasia Woeste, Kimberly Yolton

Abstract

Purpose: Environmental chemical exposures may adversely affect an array of adolescent health outcomes. Thus, we used the Health Outcomes and Measures of the Environment (HOME) study, a prospective cohort that recruited pregnant women and conducted longitudinal follow-up on children over the first 12 years of life, to determine if and when chemical exposures affect adolescent health.

Participants: We recruited 468 pregnant women (age range: 18-45 years) from the Cincinnati, Ohio region to participate in a cohort study between March 2003 and January 2006. Follow-up included two clinic and one home visits during pregnancy, a delivery hospital visit, and four home and six clinic visits when children were aged 4 weeks and 1, 2, 3, 4, 5 and 8 years. Of 441 children available for follow-up, 396 (90%) completed at least one follow-up and 256 (58%) completed the most recent follow-up at 12 years of age (range: 11-14).

Findings to date: Our new measures include maternal/child report of internalising symptoms, neuroimaging, dual-energy X-ray absorptiometry-derived estimates of lean/adipose tissue and bone mineral density, and cardiometabolic risk biomarkers. We assessed adolescent exposure to perfluoroalkyl substances, phenols, phthalates and flame retardants. Participants completing follow-up at 12 years of age were similar to the original cohort in terms of baseline factors. Most children had typical and expected values for this age on measures of internalising symptoms, body composition, bone density and cardiometabolic risk markers. Notably, 36% and 11% of children had scores indicative of potential anxiety and depressive disorders, respectively. Approximately 35% of children were overweight or obese, with higher prevalence among girls. Thirty-three per cent of children had borderline or high triglyceride concentrations (>90 mg/dL).

Future plans: We will examine associations of early life environmental chemical exposures with adolescent health measures while considering potential periods of heightened susceptibility and mixture effects.

Trial registration number: NCT00129324.

Keywords: epidemiology; paediatrics; toxicology.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Illustrations of the multimodal neuroimaging protocol acquired from a HOME Study participant. Top left, a representation of white matter fibre tracks emerging from the cingulum determined using diffusion tensor imaging. Top centre, a spectral plot of relative concentrations of select neurochemicals within the perigenual anterior cingulate cortex acquired with MRS). Top right, a calculated activation MAP from a single slice of the brain during a continuous performance task that was measured with functional MRI. Bottom, anatomical images acquired with MRI; slices are oriented in the sagittal, coronal and axial planes. The yellow box denotes the location and volume (8 cm3) where the MRS sampling was acquired. The anatomical images are acquired at high resolution, on the order of 1 mm3, to enable volumetric and morphometric analyses. All images courtesy of Travis Beckwith, PhD and Kim M Cecil, PhD. HOME, Health Outcomes and Measures of the Environment; MAP, mean apparent propagator; MRS, magnetic resonance spectroscopy.

References

    1. Herbst AL, Ulfelder H, Poskanzer DC. Adenocarcinoma of the vagina. Association of maternal stilbestrol therapy with tumor appearance in young women. N Engl J Med 1971;284:878–81. 10.1056/NEJM197104222841604
    1. Hoover RN, Hyer M, Pfeiffer RM, et al. . Adverse health outcomes in women exposed in utero to diethylstilbestrol. N Engl J Med 2011;365:1304–14. 10.1056/NEJMoa1013961
    1. Lanphear BP, Vorhees CV, Bellinger DC. Protecting children from environmental toxins. PLoS Med 2005;2:e61. 10.1371/journal.pmed.0020061
    1. Axelrad DA, Bellinger DC, Ryan LM, et al. . Dose-Response relationship of prenatal mercury exposure and IQ: an integrative analysis of epidemiologic data. Environ Health Perspect 2007;115:609–15. 10.1289/ehp.9303
    1. Heindel JJ, Balbus J, Birnbaum L, et al. . Developmental origins of health and disease: integrating environmental influences. Endocrinology 2015;156:3416–21. 10.1210/en.2015-1394
    1. Braun JM. Early-Life exposure to EDCs: role in childhood obesity and neurodevelopment. Nat Rev Endocrinol 2017;13:161-173. 10.1038/nrendo.2016.186
    1. Vrijheid M, Casas M, Gascon M, et al. . Environmental pollutants and child health-A review of recent concerns. Int J Hyg Environ Health 2016;219:331–42. 10.1016/j.ijheh.2016.05.001
    1. Etzel TM, Calafat AM, Ye X, et al. . Urinary triclosan concentrations during pregnancy and birth outcomes. Environ Res 2017;156:505–11. 10.1016/j.envres.2017.04.015
    1. Kalloo G, Wellenius GA, McCandless L, et al. . Exposures to chemical mixtures during pregnancy and neonatal outcomes: the home study. Environ Int 2020;134:105219. 10.1016/j.envint.2019.105219
    1. Chen A, Yolton K, Rauch SA, et al. . Prenatal polybrominated diphenyl ether exposures and neurodevelopment in U.S. children through 5 years of age: the home study. Environ Health Perspect 2014;122:856–62. 10.1289/ehp.1307562
    1. Stacy SL, Papandonatos GD, Calafat AM, et al. . Early life bisphenol a exposure and neurobehavior at 8years of age: identifying windows of heightened vulnerability. Environ Int 2017;107:258–65. 10.1016/j.envint.2017.07.021
    1. Spanier AJ, Kahn RS, Kunselman AR, et al. . Prenatal exposure to bisphenol A and child wheeze from birth to 3 years of age. Environ Health Perspect 2012;120:916–20. 10.1289/ehp.1104175
    1. Spanier AJ, Kahn RS, Kunselman AR, et al. . Bisphenol a exposure and the development of wheeze and lung function in children through age 5 years. JAMA Pediatr 2014;168:1131–7. 10.1001/jamapediatrics.2014.1397
    1. Braun JM, Chen A, Romano ME, et al. . Prenatal perfluoroalkyl substance exposure and child adiposity at 8 years of age: the home study. Obesity 2016;24:231–7. 10.1002/oby.21258
    1. Shoaff J, Papandonatos GD, Calafat AM, et al. . Early-Life phthalate exposure and adiposity at 8 years of age. Environ Health Perspect 2017;125:097008. 10.1289/EHP1022
    1. Dorn LD, Hostinar CE, Susman EJ, et al. . Conceptualizing puberty as a window of opportunity for impacting health and well-being across the life span. J Res Adolesc 2019;29:155–76. 10.1111/jora.12431
    1. Weaver CM, Gordon CM, Janz KF, et al. . The National osteoporosis Foundation's position statement on peak bone mass development and lifestyle factors: a systematic review and implementation recommendations. Osteoporos Int 2016;27:1281–386. 10.1007/s00198-015-3440-3
    1. Merikangas KR, He J-P, Burstein M, et al. . Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication--Adolescent Supplement (NCS-A). J Am Acad Child Adolesc Psychiatry 2010;49:980–9. 10.1016/j.jaac.2010.05.017
    1. Akresh R, Lucchetti L, Thirumurthy H. Wars and child health: evidence from the Eritrean-Ethiopian conflict. J Dev Econ 2012;99:330–40. 10.1016/j.jdeveco.2012.04.001
    1. Holmqvist G, Pereira A. Famines and stunting: are adolescents the hardest hit? 2017. Available:
    1. Juraska JM, Sisk CL, DonCarlos LL. Sexual differentiation of the adolescent rodent brain: hormonal influences and developmental mechanisms. Horm Behav 2013;64:203–10. 10.1016/j.yhbeh.2013.05.010
    1. Nations U World population prospects: the 2017 revision, key findings and advance tables: United nations, 2017.
    1. Sheehan P, Sweeny K, Rasmussen B, et al. . Building the foundations for sustainable development: a case for global investment in the capabilities of adolescents. Lancet 2017;390:1792–806. 10.1016/S0140-6736(17)30872-3
    1. Braun JM, Kalloo G, Chen A, et al. . Cohort profile: the health outcomes and measures of the environment (home) study. Int J Epidemiol 2017;46:24. 10.1093/ije/dyw006
    1. Braun JM, Hornung R, Chen A, et al. . Effect of residential Lead-Hazard interventions on childhood blood lead concentrations and neurobehavioral outcomes: a randomized clinical trial. JAMA Pediatr 2018;172:934. 10.1001/jamapediatrics.2018.2382
    1. Phelan KJ, Khoury J, Xu Y, et al. . A randomized controlled trial of home injury hazard reduction: the home injury study. Arch Pediatr Adolesc Med 2011;165:339–45. 10.1001/archpediatrics.2011.29
    1. Birmaher B, Brent DA, Chiappetta L, et al. . Psychometric properties of the screen for child anxiety related emotional disorders (scared): a replication study. J Am Acad Child Adolesc Psychiatry 1999;38:1230–6. 10.1097/00004583-199910000-00011
    1. Spence SH. Structure of anxiety symptoms among children: a confirmatory factor-analytic study. J Abnorm Psychol 1997;106:280–97. 10.1037/0021-843X.106.2.280
    1. Kovacs M. The children's depression inventory. Eagan, MN: Pearson Assessments, 1992.
    1. Beck AT, Steer RA, Brown GK. Beck Depression Inventory - 2nd Edition (BDI-II. San Antonio: The Psychological Corporation, 1996.
    1. Reynolds CK, Kamphaus RW. Behavior rating system for children. Third Edition San Antonio, TX: Pearson, 2015.
    1. Gioia GA, Isquith PK, Guy SC, et al. . Brief rating inventory of executive function. Second Edition Odessa, FL: Psychological Assessment Resources, Inc, 2015.
    1. Constantino JN, Gruber CF. Social Responsiveness Scale-2. In: Angeles L, ed Ca: Western psychological services. 2nd Edition, 2012.
    1. Gresham F, Elliott SN. Social skills improvement rating scales. SanAntonio, TX: Pearson Clinical Assessment, 2008.
    1. Dahlberg LL, Toal SB, Swahn MH, et al. . Measuing Violence-Related attitudes, Bhevaiors, and influences among Youths: a compendium of assessment tools. 2nd ed Atlanta, GA: Division of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, 2005.
    1. Instruments L. Grooved Pegboard. Lafayette, IN.
    1. Sherman EMS, Brooks BL. Child and adolescent memory profile. Lutz, FL: Psychological Assessment Resources, Inc, 2015.
    1. Wardle J, Guthrie CA, Sanderson S, et al. . Development of the children's eating behaviour questionnaire. J Child Psychol Psychiatry 2001;42:963–70. 10.1111/1469-7610.00792
    1. Carnell S, Wardle J. Measuring behavioural susceptibility to obesity: validation of the child eating behaviour questionnaire. Appetite 2007;48:104–13. 10.1016/j.appet.2006.07.075
    1. Sinha R, Chen J, Amir A, et al. . Collecting fecal samples for microbiome analyses in epidemiology studies. Cancer Epidemiol Biomarkers Prev 2016;25:407–16. 10.1158/1055-9965.EPI-15-0951
    1. Arora M, Austin C. Teeth as a biomarker of past chemical exposure. Curr Opin Pediatr 2013;25:261–7. 10.1097/MOP.0b013e32835e9084
    1. Berenson GS, Srinivasan SR, Bao W, et al. . Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa heart study. N Engl J Med 1998;338:1650–6. 10.1056/NEJM199806043382302
    1. McGill HC, McMahan CA, Gidding SS. Preventing heart disease in the 21st century: implications of the pathobiological determinants of atherosclerosis in youth (PDAY) study. Circulation 2008;117:1216–27. 10.1161/CIRCULATIONAHA.107.717033
    1. Morrison JA, Friedman LA, Gray-McGuire C. Metabolic syndrome in childhood predicts adult cardiovascular disease 25 years later: the Princeton lipid research clinics follow-up study. Pediatrics 2007;120:340–5. 10.1542/peds.2006-1699
    1. Jenny NS, Olson NC, Allison MA, et al. . Biomarkers of key biological pathways in CVD. Glob Heart 2016;11:327–36. 10.1016/j.gheart.2016.07.003
    1. Messiah SE, Arheart KL, Lipshultz SE, et al. . Ethnic group differences in waist circumference percentiles among U.S. children and adolescents: estimates from the 1999-2008 National health and nutrition examination surveys. Metab Syndr Relat Disord 2011;9:297–303. 10.1089/met.2010.0127
    1. Ogden CL, Li Y, Freedman DS, et al. . Smoothed percentage body fat Percentiles for U.S. children and adolescents, 1999-2004. Natl Health Stat Report 2011;43:1–7.
    1. Perloff D, Grim C, Flack J, et al. . Human blood pressure determination by sphygmomanometry. AHA Medical/Scientific statement. Circulation 1993;88:2460–70.
    1. Gillman MW, Cook NR. Blood pressure measurement in childhood epidemiological studies. Circulation 1995;92:1049–57. 10.1161/01.CIR.92.4.1049
    1. Vuong AM, Yolton K, Dietrich KN, et al. . Exposure to polybrominated diphenyl ethers (PBDEs) and child behavior: current findings and future directions. Horm Behav 2018;101:94–104. 10.1016/j.yhbeh.2017.11.008
    1. Kowalski KC, Crocker PR, Donen RM. The physical activity questionnaire for older children (PAQ-C) and adolescents (PAQ-A) manual. College of Kinesiology, University of Saskatchewan 2004;87.
    1. Chandler JL, Brazendale K, Beets MW, et al. . Classification of physical activity intensities using a wrist-worn accelerometer in 8-12-year-old children. Pediatr Obes 2016;11:120–7. 10.1111/ijpo.12033
    1. Crouter SE, Flynn JI, Bassett DR. Estimating physical activity in youth using a wrist accelerometer. Med Sci Sports Exerc 2015;47:944–51. 10.1249/MSS.0000000000000502
    1. Institute NC The healthy eating index – population ratio method 2017, 2017. Available: [Accessed 23 Aug 2019].
    1. Matthews CE, Hagströmer M, Pober DM, et al. . Best practices for using physical activity monitors in population-based research. Med Sci Sports Exerc 2012;44:S68–76. 10.1249/MSS.0b013e3182399e5b
    1. Troiano RP, Berrigan D, Dodd KW, et al. . Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 2008;40:181–8. 10.1249/mss.0b013e31815a51b3
    1. Kingsley SL, Kelsey KT, Butler R, et al. . Maternal serum PFOA concentration and DNA methylation in cord blood: a pilot study. Environ Res 2017;158:174–8. 10.1016/j.envres.2017.06.013
    1. Kingsley SL, Walker DI, Calafat AM, et al. . Metabolomics of childhood exposure to perfluoroalkyl substances: a cross-sectional study. Metabolomics 2019;15:95. 10.1007/s11306-019-1560-z
    1. Derogatis L. Symptom Checklist - 90 - R. Minneapolis, MN: Pearson Assessments, 2004.
    1. Kamphaus RW, Reynolds CK. Parenting relationship questionnaire. SanAntonio, TX: Pearson Clinical Assessment, 2008.
    1. Woodruff TJ, Zota AR, Schwartz JM. Environmental chemicals in pregnant women in the United States: NHANES 2003-2004. Environ Health Perspect 2011;119:878–85. 10.1289/ehp.1002727
    1. CDC Fourth national report on human exposure to environmental chemicals: centers for disease control. United States Department of Health and Human Services 2018.
    1. Frisbee SJ, Brooks AP, Maher A, et al. . The C8 health project: design, methods, and participants. Environ Health Perspect 2009;117:1873–82. 10.1289/ehp.0800379
    1. Emmett EA, Shofer FS, Zhang H, et al. . Community exposure to perfluorooctanoate: relationships between serum concentrations and exposure sources. J Occup Environ Med 2006;48:759–70. 10.1097/01.jom.0000232486.07658.74
    1. CDC 2000 CDC growth charts: United States Hyattsville, MD, 2009. Available: [Accessed 1 Jul 2009].
    1. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents, National Heart, Lung, and Blood Institute . Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics 2011;128 Suppl 5:S213–56. 10.1542/peds.2009-2107C
    1. Paus T, Keshavan M, Giedd JN. Why do many psychiatric disorders emerge during adolescence? Nat Rev Neurosci 2008;9:947–57. 10.1038/nrn2513
    1. Singh AS, Mulder C, Twisk JWR, et al. . Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes Rev 2008;9:474–88. 10.1111/j.1467-789X.2008.00475.x
    1. CfDCaP CDC, Tables U. Fourth national report on human exposure to environmental chemicals. Updated Tables 2012 [updated 2012.
    1. Harley KG, Engel SM, Vedar MG, et al. . Prenatal exposure to organophosphorous pesticides and fetal growth: pooled results from four longitudinal birth cohort studies. Environ Health Perspect 2016;124:1084–92. 10.1289/ehp.1409362
    1. Engel SM, Bradman A, Wolff MS, et al. . Prenatal organophosphorus pesticide exposure and child neurodevelopment at 24 months: an analysis of four birth cohorts. Environ Health Perspect 2016;124:822–30. 10.1289/ehp.1409474
    1. Buckley JP, Engel SM, Braun JM, et al. . Prenatal phthalate exposures and body mass index among 4- to 7-year-old children: a pooled analysis. Epidemiology 2016;27:449–58. 10.1097/EDE.0000000000000436
    1. Li N, Arbuckle TE, Muckle G, et al. . Associations of cord blood leptin and adiponectin with children's cognitive abilities. Psychoneuroendocrinology 2019;99:257–64. 10.1016/j.psyneuen.2018.10.021
    1. Newschaffer CJ, Croen LA, Fallin MD, et al. . Infant siblings and the investigation of autism risk factors. J Neurodev Disord 2012;4:7. 10.1186/1866-1955-4-7
    1. Sears CG, Mueller-Leonhard C, Wellenius GA, et al. . Early-Life exposure to traffic-related air pollution and child anthropometry. Environmental Epidemiology 2019;3:e061 10.1097/EE9.0000000000000061
    1. Benowitz NL, Bernert JT, Caraballo RS, et al. . Optimal serum cotinine levels for distinguishing cigarette smokers and nonsmokers within different racial/ethnic groups in the United States between 1999 and 2004. Am J Epidemiol 2009;169:236–48. 10.1093/aje/kwn301

Source: PubMed

3
Abonnieren