Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-10T12:59:45.361Z Has data issue: false hasContentIssue false

Prenatal programming of depression: cumulative risk or mismatch in the Ontario Child Health Study?

Published online by Cambridge University Press:  10 March 2021

Calan Savoy*
Affiliation:
Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
Ryan J. Van Lieshout
Affiliation:
Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
*
Address for correspondence: Calan Savoy, Department of Psychiatry and Behavioural Neurosciences, McMaster University, St. Joseph’s Healthcare Hamilton, West 5th Campus, 100 West 5th Street, Hamilton, ON L8N 3K7, Canada. Email: savoycd@mcmaster.ca

Abstract

Consistent with cumulative risk hypotheses of psychopathology, studies examining prenatal adversity and later mental health largely suggest that pre and postnatal stress exposures have summative effects. Fewer data support that a mismatch in stress levels between pre- and postnatal life increases risk (the mismatch hypothesis). In this retrospective cohort study using data from the 1983 Ontario Child Health Study (OCHS), we examined interactions between birth weight status and childhood/adolescent stress to predict major depression in adulthood. Ninety-five participants born at low birth weight (LBW; <2500 g) and 972 normal birth weight (NBW) control participants completed the Composite International Diagnostic Interview Short-Form Major Depression module at 21–34 years of age. A youth risk scale consisting of five stressful exposures (family dysfunction, socioeconomic disadvantage, parental criminality, maternal mental illness, exposure to other life stresses) indexed child/adolescent adversity. Birth weight groups did not differ by childhood risk score nor depression levels. A significant interaction was observed between birth weight and the youth risk scale whereby exposure to increasing levels of exposure to childhood/adolescent adversity predicted increased levels of depression in the NBW group, but lower rates in those born at LBW. Consistent with the mismatch hypothesis, data from a large, longitudinally followed cohort suggest that the mental health of adults born LBW may be more resilient to the adverse effects of childhood/adolescent stress. Taken in the context of previous studies of low birth weight infants, these findings suggest that the nature of associations between gestational stress and later mental health may depend on the magnitude of prenatal stress exposure, as well as the degree of resilience and/or plasticity conferred by their early-life environment.

Type
Original Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Gluckman, PD, Hanson, MA, Buklijas, T. A conceptual framework for the developmental origins of health and disease. J Dev Orig Health Dis. 2010; 1, 618.CrossRefGoogle ScholarPubMed
O’Donnell, KJ, Meaney, MJ. Fetal origins of mental health: the developmental origins of health and disease hypothesis. Am J Psychiatry. 2017; 174, 319328.CrossRefGoogle ScholarPubMed
Maccari, S, Polese, D, Reynaert, M-L, Amici, T, Morley-Fletcher, S, Fagioli, F. Early-life experiences and the development of adult diseases with a focus on mental illness: the human birth theory. Neuroscience. 2017; 342, 232251.CrossRefGoogle ScholarPubMed
McEwen, BS. Early life influences on life-long patterns of behavior and health. Ment Retard Dev Disabil Res Rev. 2003; 9, 149154.CrossRefGoogle ScholarPubMed
Vogt, D, Waeldin, S, Hellhammer, D, Meinlschmidt, G. The role of early adversity and recent life stress in depression severity in an outpatient sample. J Psychiatr Res. 2016; 83, 6170.CrossRefGoogle Scholar
Friedrich, MJ. Depression is the leading cause of disability around the world. JAMA. 2017; 317, 1517.Google ScholarPubMed
Lester, BM, Conradt, E, Marsit, CJ. Epigenetic basis for the development of depression in children. Clin Obstet Gynecol. 2013; 56, 556565.CrossRefGoogle ScholarPubMed
Hosang, GM, Shiles, C, Tansey, KE, McGuffin, P, Uher, R. Interaction between stress and the BDNF Val66Met polymorphism in depression: a systematic review and meta-analysis. BMC Med. 2014; 12, 7.CrossRefGoogle ScholarPubMed
Bustamante, AC, Aiello, AE, Galea, S, et al. Glucocorticoid receptor DNA methylation, childhood maltreatment and major depression. J Affect Disord. 2016; 206, 181188.CrossRefGoogle ScholarPubMed
Zhu, J, Lowen, SB, Anderson, CM, Ohashi, K, Khan, A, Teicher, MH. Association of prepubertal and postpubertal exposure to childhood maltreatment with adult amygdala function. JAMA Psychiatry. 2019; 76, 843853.CrossRefGoogle ScholarPubMed
Lopez-Duran, NL, Nusslock, R, George, C, Kovacs, M. Frontal EEG asymmetry moderates the effects of stressful life events on internalizing symptoms in children at familial risk for depression. Psychophysiology. 2012; 49, 510521.CrossRefGoogle ScholarPubMed
Bylsma, LM, Morris, BH, Rottenberg, J. A meta-analysis of emotional reactivity in major depressive disorder. Clin Psychol Rev. 2008; 28, 676691.CrossRefGoogle ScholarPubMed
Burcusa, SL, Iacono, WG. Risk for recurrence in depression. Clin Psychol Rev. 2007; 27, 959985.CrossRefGoogle ScholarPubMed
Wojcik, W, Lee, W, Colman, I, Hardy, R, Hotopf, M. Foetal origins of depression? A systematic review and meta-analysis of low birth weight and later depression. Psychol Med. 2013; 43, 112.CrossRefGoogle ScholarPubMed
Brown, AS, Van, Os J, Ph D, et al. Further evidence of relation between prenatal famine and major affective disorder. Am J Psychiatry. 2000; 157, 190195.CrossRefGoogle ScholarPubMed
Santarelli, S, Lesuis, SL, Wang, XD, et al. Evidence supporting the match/mismatch hypothesis of psychiatric disorders. Eur Neuropsychopharmacol. 2014; 24, 907918.CrossRefGoogle ScholarPubMed
Gluckman, P, Hanson, M. Mismatch: Why Our World No Longer Fits Our Bodies, 1st ed, 2006. Oxford University Press, Oxford.Google Scholar
Santarelli, S, Zimmermann, C, Kalideris, G, et al. An adverse early life environment can enhance stress resilience in adulthood. Psychoneuroendocrinology. 2017; 78, 213221.CrossRefGoogle ScholarPubMed
Hill, J, Pickles, A, Wright, N, Braithwaite, E, Sharp, H. Predictions of children’s emotionality from evolutionary and epigenetic hypotheses. Sci Rep. 2019; 9, 2519.CrossRefGoogle ScholarPubMed
Nederhof, E, Schmidt, MV. Mismatch or cumulative stress: toward an integrated hypothesis of programming effects. Physiol Behav. 2012; 106, 701706.CrossRefGoogle ScholarPubMed
Gluckman, PD, Hanson, MA, Bateson, P, et al. Towards a new developmental synthesis: adaptive developmental plasticity and human disease. Lancet. 2009; 373, 16541657.CrossRefGoogle ScholarPubMed
Belsky, J, Pluess, M. Beyond risk, resilience, and dysregulation: phenotypic plasticity and human development. Dev Psychopathol. 2013; 25, 12431261.CrossRefGoogle ScholarPubMed
Kramer, MS, Platt, RW, Wen, SW, et al. A new and improved population-based canadian reference for birth weight for gestational age. Pediatrics. 2001; 108, e35e35.CrossRefGoogle ScholarPubMed
Offord, DR, Boyle, MH, Fleming, JE, Munroe Blum, H, Grant, NIR. Summary of selected results. Can J Psychiatry. 1989; 34, 483491.CrossRefGoogle ScholarPubMed
Kessler, RC, Andrews, G, Mroczek, D, Ustun, B, Wittchen, H-U. The world health organization composite international diagnostic interview short-form (CIDI-SF). Int J Methods Psychiatr Res. 1998; 7, 171185.CrossRefGoogle Scholar
Gigantesco, A, Morosini, P. Development, reliability and factor analysis of a self-administered questionnaire which originates from the World Health Organization’s Composite International Diagnostic Interview - Short Form (CIDI-SF) for assessing mental disorders. Clin Pract Epidemiol Ment Health. 2008; 4, 8.CrossRefGoogle ScholarPubMed
Clayborne, ZM, Colman, I. Associations between depression and health behaviour change: findings from 8 cycles of the Canadian community health survey. Can J Psychiatry. 2019; 64, 3038.CrossRefGoogle ScholarPubMed
Xiang, X, Cheng, J. Trajectories of major depression in middle-aged and older adults: a population-based study. Int J Geriatr Psychiatry. 2019; 34, 15061514.CrossRefGoogle ScholarPubMed
Matcham, F, Barattieri di San Pietro, C, Bulgari, V, et al. Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol. BMC Psychiatry. 2019; 19, 72.CrossRefGoogle ScholarPubMed
Wang, J, Patten, SB. Perceived work stress and major depression in the Canadian employed population, 20–49 years old. J Occup Health Psychol. 2001; 6, 283289.CrossRefGoogle Scholar
Adegboye, ARA, Heitmann, BL. Accuracy and correlates of maternal recall of birthweight and gestational age. BJOG An Int J Obstet Gynaecol. 2008; 115, 886893.CrossRefGoogle ScholarPubMed
Mansur, RB, Cunha, GR, Asevedo, E, et al. Perinatal complications, lipid peroxidation, and mental health problems in a large community pediatric sample. Eur Child Adolesc Psychiatry. 2017; 26, 521529.CrossRefGoogle Scholar
Valero de Bernabé, J, Soriano, T, Albaladejo, R, et al. Risk factors for low birth weight: a review. Eur J Obstet Gynecol Reprod Biol. 2004; 116, 315.CrossRefGoogle ScholarPubMed
Evans, GW, Cassells, RC. Childhood poverty, cumulative risk exposure, and mental health in emerging adults. Clin Psychol Sci. 2014; 2, 287296.CrossRefGoogle ScholarPubMed
Appleyard, K, Egeland, B, van Dulmen, MHM, Sroufe, LA. When more is not better: the role of cumulative risk in child behavior outcomes. J Child Psychol Psychiatry Allied Discip. 2005; 46, 235245.CrossRefGoogle Scholar
Van Lieshout, RJ, Boyle, MH, Favotto, L, et al. Impact of extremely low-birth-weight status on risk and resilience for depression and anxiety in adulthood. J Child Psychol Psychiatry Allied Discip. 2018; 59, 596603.CrossRefGoogle ScholarPubMed
Forehand, R, Biggar, H, Kotchick, BA. Cumulative risk across family stressors: short- and long-term effects for adolescents. J Abnorm Child Psychol. 1998; 26, 119128.CrossRefGoogle Scholar
Van Lieshout, RJ, Boyle, MH, Favotto, L, et al. Impact of extremely low-birth-weight status on risk and resilience for depression and anxiety in adulthood. J Child Psychol Psychiatry Allied Discip. 2018; 59, 596603.CrossRefGoogle ScholarPubMed
Murphy, B, Zhang, X, Dionne, C. Income Research Paper Series Low Income in Canada: A Multi-Line and Multi-Index Perspective. 2012. www.statcan.gc.ca.Google Scholar
Georgiades, K, Boyle, MH, Jenkins, JM, Sanford, M, Lipman, E. A multilevel analysis of whole family functioning using the McMaster family assessment device. J Fam Psychol. 2008; 22, 344354.CrossRefGoogle ScholarPubMed
O’Donnell, M, Maclean, MJ, Sims, S, Morgan, VA, Leonard, H, Stanley, FJ. Maternal mental health and risk of child protection involvement: mental health diagnoses associated with increased risk. J Epidemiol Community Health. 2015; 69, 11751183.CrossRefGoogle ScholarPubMed
Gelfand, DM, Teti, DM. The effects of maternal depression on children. Clin Psychol Rev. 1990; 10, 329353.CrossRefGoogle Scholar
Hser, Y-I, Lanza, HI, Li, L, Kahn, E, Evans, E, Schulte, M. Maternal mental health and children’s internalizing and externalizing behaviors: beyond maternal substance use disorders. J Child Fam Stud. 2015; 24, 638648.CrossRefGoogle ScholarPubMed
Turney, K. Unmet health care needs among children exposed to parental incarceration. Matern Child Health J. 2017; 21, 11941202.CrossRefGoogle ScholarPubMed
Wildeman, C, Goldman, AW, Turney, K. Parental incarceration and child health in the United States. Epidemiol Rev. 2018; 40, 146156.CrossRefGoogle ScholarPubMed
Conklin, AI, Guo, SXR, Yao, CA, Tam, ACT, Richardson, CG. Stressful life events, gender and obesity: a prospective, population-based study of adolescents in British Columbia. Int J Pediatr Adolesc Med. 2019; 6, 4146.CrossRefGoogle ScholarPubMed
Cleal, JK, Poore, KR, Boullin, JP, et al. Mismatched pre- and postnatal nutrition leads to cardiovascular dysfunction and altered renal function in adulthood. Proc Natl Acad Sci U S A. 2007; 104, 95299533.CrossRefGoogle ScholarPubMed
Yajnik, CS, Fall, CHD, Coyaji, KJ, et al. Neonatal anthropometry: the thin-fat Indian baby. The Pune maternal nutrition study. Int J Obes. 2003; 27, 173180.CrossRefGoogle ScholarPubMed
Gluckman, PD, Hanson, M A, Cooper, C, Thornburg, KL. Effect of in utero and early-life conditions on adult health and disease. N Engl J Med. 2008; 359, 6173.CrossRefGoogle ScholarPubMed
Lajud, N, Roque, A, Cajero, M, Gutiérrez-Ospina, G, Torner, L. Periodic maternal separation decreases hippocampal neurogenesis without affecting basal corticosterone during the stress hyporesponsive period, but alters HPA axis and coping behavior in adulthood. Psychoneuroendocrinology. 2012; 37, 410420.CrossRefGoogle ScholarPubMed
Murgatroyd, C, Spengler, D. Epigenetic programming of the HPA axis: early life decides. Stress. 2011; 14, 581589.CrossRefGoogle ScholarPubMed
Morley-Fletcher, S, Mairesse, J, Van Camp, G, et al. Perinatal stress programs sex differences in the behavioral and molecular chronobiological profile of rats maintained under a 12-h light-dark cycle. Front Mol Neurosci. 2019; 12, 89.CrossRefGoogle Scholar
Romens, SE, Mcdonald, J, Svaren, J, Pollak, SD. Associations between early life stress and gene methylation in children. Child Dev. 2015; 86, 303309.CrossRefGoogle ScholarPubMed
Gröger, N, Matas, E, Gos, T, et al. The transgenerational transmission of childhood adversity: behavioral, cellular, and epigenetic correlates. J Neural Transm. 2016; 123, 10371052.CrossRefGoogle ScholarPubMed
Van Lieshout, RJ, Boyle, MH, Saigal, S, Morrison, K, Schmidt, LA. Mental health of extremely low birth weight survivors in their 30s. Pediatrics. 2015; 135, 452459.CrossRefGoogle ScholarPubMed
Klassen, AF, Lee, SK, Raina, P, Chan, HWP, Matthew, D, Brabyn, D. Health status and health-related quality of life in a population-based sample of neonatal intensive care unit graduates. Pediatrics. 2004; 113, 594600.CrossRefGoogle Scholar
Lindström, K, Lindblad, F, Hjern, A. Psychiatric morbidity in adolescents and young adults born preterm: a Swedish national cohort study. Pediatrics. 2009; 123, e47e53.CrossRefGoogle Scholar
Stock, K, Schmid, A, Griesmaier, E, et al. The impact of being born preterm or small for gestational age on early vascular aging in adolescents. J Pediatr. 2018; 201, 49.e154.e1.CrossRefGoogle ScholarPubMed
Lang, JM, Lieberman, E, Cohen, A. A comparison of risk factors for preterm labour and term small-for-gestational-age birth. Epidemiology. 1996; 7, 369376.CrossRefGoogle ScholarPubMed
Supplementary material: File

Savoy and Van Lieshout supplementary material

Savoy and Van Lieshout supplementary material

Download Savoy and Van Lieshout supplementary material(File)
File 15.8 KB