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When a birth cohort grows up: challenges and opportunities in longitudinal developmental origins of health and disease (DOHaD) research

Published online by Cambridge University Press:  21 November 2022

Emily Oken*
Affiliation:
Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
Theresa M. Bastain
Affiliation:
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Nicole Bornkamp
Affiliation:
Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
Carrie V. Breton
Affiliation:
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Rebecca C. Fry
Affiliation:
Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, NC, USA
Diane R. Gold
Affiliation:
Brigham and Women’s Hospital, Department of Medicine, Channing Division of Network Medicine; Environmental Health Department, Harvard T.H. Chan School of Public Health, Boston, MA, USA
Marie-France Hivert
Affiliation:
Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
Steve Howland
Affiliation:
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Daniel J. Jackson
Affiliation:
Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
Christine C. Johnson
Affiliation:
Department of Public Health Sciences, Henry Ford Health, Detroit, MI, USA
Kyra Jones
Affiliation:
Department of Public Health Sciences, Henry Ford Health, Detroit, MI, USA
MollyAn Killingbeck
Affiliation:
Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
T. Michael O’Shea
Affiliation:
Department of Pediatrics, UNC-Chapel Hill School of Medicine, Chapel Hill, NC, USA
Marleny Ortega
Affiliation:
Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
Dennis Ownby
Affiliation:
Division of Allergy and Immunology, Augusta University, Augusta, GA, USA
Frederica Perera
Affiliation:
Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
Julie V. Rollins
Affiliation:
Department of Pediatrics, UNC-Chapel Hill School of Medicine, Chapel Hill, NC, USA
Julie B. Herbstman
Affiliation:
Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
*
Address for correspondence: Dr. Emily Oken, Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA. Email: Emily_Oken@harvardpilgrim.org

Abstract

High-quality evidence from prospective longitudinal studies in humans is essential to testing hypotheses related to the developmental origins of health and disease. In this paper, the authors draw upon their own experiences leading birth cohorts with longitudinal follow-up into adulthood to describe specific challenges and lessons learned. Challenges are substantial and grow over time. Long-term funding is essential for study operations and critical to retaining study staff, who develop relationships with participants and hold important institutional knowledge and technical skill sets. To maintain contact, we recommend that cohorts apply multiple strategies for tracking and obtain as much high-quality contact information as possible before the child’s 18th birthday. To maximize engagement, we suggest that cohorts offer flexibility in visit timing, length, location, frequency, and type. Data collection may entail multiple modalities, even at a single collection timepoint, including measures that are self-reported, research-measured, and administrative with a mix of remote and in-person collection. Many topics highly relevant for adolescent and young adult health and well-being are considered to be private in nature, and their assessment requires sensitivity. To motivate ongoing participation, cohorts must work to understand participant barriers and motivators, share scientific findings, and provide appropriate compensation for participation. It is essential for cohorts to strive for broad representation including individuals from higher risk populations, not only among the participants but also the staff. Successful longitudinal follow-up of a study population ultimately requires flexibility, adaptability, appropriate incentives, and opportunities for feedback from participants.

Type
Review
Copyright
© The Author(s), 2022. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease

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Footnotes

See Acknowledgments for full listing of collaborators.

References

Gillman, MW, Rich-Edwards, JW. The fetal origin of adult disease: from sceptic to convert. Paediatr Perinat Epidemiol. 2000; 14(3), 192193. DOI 10.1046/j.1365-3016.2000.00265.x.CrossRefGoogle ScholarPubMed
Hsu, CN, Tain, YL. Animal models for DOHaD research: focus on hypertension of developmental origins. Biomedicines. 2021; 9(6), 623. DOI 10.3390/biomedicines9060623.CrossRefGoogle ScholarPubMed
Barker, DJP. Fetal origins of cardiovascular disease. Ann Med. 1999; 31(sup 1), 36. DOI 10.1080/07853890.1999.11904392.CrossRefGoogle ScholarPubMed
Hales, CN, Barker, DJ, Clark, PM, et al. Fetal and infant growth and impaired glucose tolerance at age 64. BMJ. 1991; 303(6809), 10191022. DOI 10.1136/bmj.303.6809.1019.CrossRefGoogle ScholarPubMed
Roseboom, T, de Rooij, S, Painter, R. The Dutch famine and its long-term consequences for adult health. Early Hum Dev. 2006; 82(8), 485491. DOI 10.1016/j.earlhumdev.2006.07.001.CrossRefGoogle ScholarPubMed
Ravelli, GP, Stein, ZA, Susser, MW. Obesity in young men after famine exposure in utero and early infancy. N Engl J Med. 1976; 295(7), 349353. DOI 10.1056/NEJM197608122950701.CrossRefGoogle ScholarPubMed
Stanner, SA, Bulmer, K, Andrès, C, et al. Does malnutrition in utero determine diabetes and coronary heart disease in adulthood? Results from the Leningrad siege study, a cross sectional study. BMJ. 1997; 315(7119), 13421348. DOI 10.1136/bmj.315.7119.1342.CrossRefGoogle ScholarPubMed
Rich-Edwards, JW, Gillman, MW. Commentary: a hypothesis challenged. BMJ. 1997; 315(7119), 13481349. DOI 10.1136/bmj.315.7119.1348.CrossRefGoogle ScholarPubMed
Gold, DR, Wang, X, Wypij, D, Speizer, FE, Ware, JH, Dockery, DW. Effects of cigarette smoking on lung function in adolescent boys and girls. N Engl J Med. 1996; 335(13), 931937. DOI 10.1056/NEJM199609263351304.CrossRefGoogle ScholarPubMed
Garcia, E, Rice, MB, Gold, DR. Air pollution and lung function in children. J Allergy Clin Immunol. 2021; 148(1), 114. DOI 10.1016/j.jaci.2021.05.006.CrossRefGoogle ScholarPubMed
Birthcohorts. Accessed January 19, 2022. https://www.birthcohorts.net/ Google Scholar
Olsen, J, Melbye, M, Olsen, SF, et al. The Danish National Birth Cohort--its background, structure and aim. Scand J Public Health. 2001;29(4), 300–307. DOI 10.1177/14034948010290040201.Google Scholar
Magnus, P, Irgens, LM, Haug, K, et al. Cohort profile: the Norwegian Mother and Child Cohort Study (MoBa). Int J Epidemiol. 2006; 35(5), 11461150. DOI 10.1093/ije/dyl170.CrossRefGoogle ScholarPubMed
LeWinn, KZ, Caretta, E, Davis, A, Anderson, AL, Oken, E, program collaborators for Environmental influences on Child Health Outcomes. SPR perspectives: Environmental influences on Child Health Outcomes (ECHO) Program: overcoming challenges to generate engaged, multidisciplinary science. Pediatr Res. 2021; 15, 10.1038/s41390-021-01598-0.Google Scholar
Office for Human Research Protections (OHRP). Subpart D — additional protections for children involved as subjects in research. HHS.gov, 2021, Accessed September 27, 2022, https://www.hhs.gov/ohrp/regulations-and-policy/regulations/45-cfr-46/common-rule-subpart-d/index.html Google Scholar
Mandoh, M, Redfern, J, Mihrshahi, S, Cheng, HL, Phongsavan, P, Partridge, SR. Shifting from Tokenism to meaningful adolescent participation in research for obesity prevention: a systematic scoping review. Front Public Health. 2021; 9, 789535. DOI 10.3389/fpubh.2021.789535.CrossRefGoogle ScholarPubMed
Haijes, HA, van Thiel, GJMW. Participatory methods in pediatric participatory research: a systematic review. Pediatr Res. 2016; 79(5), 676683. DOI 10.1038/pr.2015.279.CrossRefGoogle ScholarPubMed
Chan, NPT, Tarrant, M, Ngan, E, So, HK, Lok, KYW, Nelson, EAS. Agreement between self-/home-measured and assessor-measured waist circumference at three sites in adolescents/children. PloS One. 2018; 13(3), e0193355. DOI 10.1371/journal.pone.0193355.CrossRefGoogle ScholarPubMed
Wilson, OWA, Bopp, CM, Papalia, Z, Bopp, M. Objective vs self-report assessment of height, weight and body mass index: relationships with adiposity, aerobic fitness and physical activity. Clin Obes. 2019; 9(5), e12331. DOI 10.1111/cob.12331.CrossRefGoogle ScholarPubMed
Richardson, CH, Orr, NJ, Ollosson, SL, Irving, SJ, Balfour-Lynn, IM, Carr, SB. Initiating home spirometry for children during the COVID-19 pandemic - a practical guide. Paediatr Respir Rev. 2021:; 42, 4348. DOI 10.1016/j.prrv.2021.02.001.Google ScholarPubMed
Valentine-Graves, M, Hall, E, Guest, JL, et al. At-home self-collection of saliva, oropharyngeal swabs and dried blood spots for SARS-CoV-2 diagnosis and serology: post-collection acceptability of specimen collection process and patient confidence in specimens. PloS One. 2020; 15(8), e0236775. DOI 10.1371/journal.pone.0236775.CrossRefGoogle ScholarPubMed
Najman, JM, Alati, R, Bor, W, et al. Cohort profile update: the Mater-University of Queensland Study of Pregnancy (MUSP). Int J Epidemiol. 2015; 44(1), 7878f. DOI 10.1093/ije/dyu234.CrossRefGoogle ScholarPubMed
Amigo, H, Bustos, P, Zumelzú, E, Rona, RJ. Cohort profile: the Limache, Chile, birth cohort study. Int J Epidemiol. 2014; 43(4), 10311039. DOI 10.1093/ije/dyt091.CrossRefGoogle ScholarPubMed
Magnus, P, Birke, C, Vejrup, K, et al. Cohort profile update: the Norwegian Mother and Child Cohort Study (MoBa). Int J Epidemiol. 2016; 45(2), 382388. DOI 10.1093/ije/dyw029.CrossRefGoogle ScholarPubMed
Horta, BL, Gigante, DP, Goncalves, H, et al. Cohort profile update: the 1982 Pelotas (Brazil) birth cohort study. Int J Epidemiol. 2015; 44(2), 441441e. DOI 10.1093/ije/dyv017.CrossRefGoogle ScholarPubMed
Oken, E, Baccarelli, AA, Gold, DR, et al. Cohort profile: project viva. Int J Epidemiol. 2015; 44(1), 3748. DOI 10.1093/ije/dyu008.CrossRefGoogle ScholarPubMed
O’Shea, TM, Allred, EN, Dammann, O, et al. The ELGAN study of the brain and related disorders in extremely low gestational age newborns. Early Hum Dev. 2009; 85(11), 719725. DOI 10.1016/j.earlhumdev.2009.08.060.CrossRefGoogle ScholarPubMed
Taylor, GL, O’Shea, TM. Extreme prematurity: risk and resiliency. Curr Probl Pediatr Adolesc Health Care. 2022; 52(2), 101132. DOI 10.1016/j.cppeds.2022.101132.CrossRefGoogle ScholarPubMed
Gauderman, WJ, Avol, E, Gilliland, F, et al. The effect of air pollution on lung development from 10 to 18 years of age. N Engl J Med. 2004; 351(11), 10571067. DOI 10.1056/NEJMoa040610.CrossRefGoogle ScholarPubMed
Gauderman, WJ, Urman, R, Avol, E, et al. Association of improved air quality with lung development in children. N Engl J Med. 2015; 372(10), 905913. DOI 10.1056/NEJMoa1414123.CrossRefGoogle ScholarPubMed
Avol, EL, Gauderman, WJ, Tan, SM, London, SJ, Peters, JM. Respiratory effects of relocating to areas of differing air pollution levels. Am J Respir Crit Care Med. 2001; 164(11), 20672072. DOI 10.1164/ajrccm.164.11.2102005.CrossRefGoogle ScholarPubMed
McConnell, R, Berhane, K, Gilliland, F, et al. Asthma in exercising children exposed to ozone: a cohort study. Lancet (Lond Engl.). 2002; 359(9304), 386391. DOI 10.1016/S0140-6736(02)07597-9.CrossRefGoogle ScholarPubMed
Perera, FP, Illman, SM, Kinney, PL, et al. The challenge of preventing environmentally related disease in young children: community-based research in New York City. Environ Health Perspect. 2002; 110(2), 197204. DOI 10.1289/ehp.02110197.CrossRefGoogle ScholarPubMed
Perera, FP, Rauh, V, Whyatt, RM, et al. A summary of recent findings on birth outcomes and developmental effects of prenatal ETS, PAH, and pesticide exposures. Neurotoxicology. 2005; 26(4), 573587. DOI 10.1016/j.neuro.2004.07.007.CrossRefGoogle ScholarPubMed
Ownby, DR, Johnson, CC, Peterson, EL. Maternal smoking does not influence cord serum IgE or IgD concentrations. J Allergy Clin Immunol. 1991; 88(4), 555560. DOI 10.1016/0091-6749(91)90148-h.CrossRefGoogle ScholarPubMed
Wegienka, G, London, SJ, Johnson, CC, Ownby, DR. Interpregnancy interval might affect the risk of childhood atopy. J Allergy Clin Immunol. 2004; 113(1), 169171. DOI 10.1016/j.jaci.2003.10.012.CrossRefGoogle ScholarPubMed
Williams, LK, McPhee, RA, Ownby, DR, et al. Gene-environment interactions with CD14 C-260T and their relationship to total serum IgE levels in adults. J Allergy Clin Immunol. 2006; 118(4), 851857. DOI 10.1016/j.jaci.2006.07.007.CrossRefGoogle ScholarPubMed
Havstad, S, Wegienka, G, Zoratti, EM, et al. Effect of prenatal indoor pet exposure on the trajectory of total IgE levels in early childhood. J Allergy Clin Immunol. 2011; 128(4), 880885.e4. DOI 10.1016/j.jaci.2011.06.039.CrossRefGoogle ScholarPubMed
Gold, DR, Burge, HA, Carey, V, Milton, DK, Platts-Mills, T, Weiss, ST. Predictors of repeated wheeze in the first year of life: the relative roles of cockroach, birth weight, acute lower respiratory illness, and maternal smoking. Am J Respir Crit Care Med. 1999; 160(1), 227236. DOI 10.1164/ajrccm.160.1.9807104.CrossRefGoogle ScholarPubMed
Lemanske, RF. The childhood origins of asthma (COAST) study. Pediatr Allergy Immunol. 2002; 13(s15), 3843. DOI 10.1034/j.1399-3038.13.s.15.8.x.CrossRefGoogle ScholarPubMed