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Early life risk and resiliency factors and their influences on developmental outcomes and disease pathways: a rapid evidence review of systematic reviews and meta-analyses

Published online by Cambridge University Press:  04 August 2020

Ayah Abdul-Hussein
Affiliation:
Department of Health Sciences, Carleton University, Ottawa, ON, Canada
Ayesha Kareem
Affiliation:
Department of Health Sciences, Carleton University, Ottawa, ON, Canada
Shrankhala Tewari
Affiliation:
Department of Health Sciences, Carleton University, Ottawa, ON, Canada
Julie Bergeron
Affiliation:
Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
Laurent Briollais
Affiliation:
Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
John R. G. Challis
Affiliation:
University of Toronto, Toronto, ON, Canada Simon Fraser University, Burnaby, BC, Canada
Sandra T. Davidge
Affiliation:
Women and Children’s Health Research Institute and Obstetrics and Gynaecology, University of Alberta, Edmonton, AB, Canada
Claudio Delrieux
Affiliation:
Universidad Nacional del Sur Argentina, Bahía Blanca, Argentina
Isabel Fortier
Affiliation:
Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
Daniel Goldowitz
Affiliation:
Medical Genetics, University of British Columbia, Vancouver, BC, Canada
Pablo Nepomnaschy
Affiliation:
Simon Fraser University, Burnaby, BC, Canada
Ashley Wazana
Affiliation:
Psychiatry, McGill University, Montreal, Canada
Kristin L. Connor*
Affiliation:
Department of Health Sciences, Carleton University, Ottawa, ON, Canada
*
Address for correspondence: Dr. Kristin Connor, Department of Health Sciences, Carleton University, 1125 Colonel By Drive, 3310 Health Sciences Building, Ottawa, ON, Canada. Email: kristin.connor@carleton.ca

Abstract

The Developmental Origins of Health and Disease (DOHaD) framework aims to understand how environmental exposures in early life shape lifecycle health. Our understanding and the ability to prevent poor health outcomes and enrich for resiliency remain limited, in part, because exposure–outcome relationships are complex and poorly defined. We, therefore, aimed to determine the major DOHaD risk and resilience factors. A systematic approach with a 3-level screening process was used to conduct our Rapid Evidence Review following the established guidelines. Scientific databases using DOHaD-related keywords were searched to capture articles between January 1, 2009 and April 19, 2019. A final total of 56 systematic reviews/meta-analyses were obtained. Studies were categorized into domains based on primary exposures and outcomes investigated. Primary summary statistics and extracted data from the studies are presented in Graphical Overview for Evidence Reviews diagrams. There was substantial heterogeneity within and between studies. While global trends showed an increase in DOHaD publications over the last decade, the majority of data reported were from high-income countries. Articles were categorized under six exposure domains: Early Life Nutrition, Maternal/Paternal Health, Maternal/Paternal Psychological Exposure, Toxicants/Environment, Social Determinants, and Others. Studies examining social determinants of health and paternal influences were underrepresented. Only 23% of the articles explored resiliency factors. We synthesized major evidence on relationships between early life exposures and developmental and health outcomes, identifying risk and resiliency factors that influence later life health. Our findings provide insight into important trends and gaps in knowledge within many exposures and outcome domains.

Type
Review
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2020

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Footnotes

These authors contributed equally to the work

References

Barker, DJP, Osmond, C. Infant mortality, childhood nutrition, and Ischaemic heart disease in England and Wales. The Lancet 1986; 327, 10771081.CrossRefGoogle Scholar
Barker, DJP, Osmond, C, Winter, PD, Margetts, B, Simmonds, SJ. Weight in infancy and death from Ischaemic heart disease. The Lancet 1989; 334, 577580.CrossRefGoogle Scholar
Barker, DJP, Godfrey, KM, Gluckman, PD, Harding, JE, Owens, JA, Robinson, JS. Fetal nutrition and cardiovascular disease in adult life. The Lancet 1993; 341, 938941.CrossRefGoogle ScholarPubMed
Wadhwa, PD, Buss, C, Entringer, S, Swanson, JM. Developmental origins of health and disease: brief history of the approach and current focus on epigenetic mechanisms. Semin Reprod Med. 2009; 27, 358368.CrossRefGoogle ScholarPubMed
Barker, DJP. Developmental origins of adult health and disease. J Epidemiol Commun Health. 2004; 58, 114115.CrossRefGoogle ScholarPubMed
Heindel, JJ, Balbus, J, Birnbaum, L, et al. Developmental origins of health and disease: integrating environmental influences. Endocrinology 2015; 156, 34163421.CrossRefGoogle ScholarPubMed
Jacob, CM, Baird, J, Barker, M, Cooper, C, Hanson, M. The Importance of a Life Course Approach to Health: Chronic Disease Risk from Preconception through Adolescence andAdulthood. WHO promoting health through the life-course; 2017. p. 41.Google Scholar
Hertzman, C. Putting the concept of biological embedding in historical perspective. Proceedings of the National Academy of Sciences of the United States of America 2012; 109 Suppl 2: 17160–17167.CrossRefGoogle Scholar
Boyd, A, Golding, J, Macleod, J, et al. Cohort Profile: the ‘children of the 90s’--the index offspring of the Avon Longitudinal Study of Parents and Children. Int J Epidemiol. 2013; 42, 111127.CrossRefGoogle ScholarPubMed
Dontje, ML, Eastwood, P, Straker, L. Western Australian pregnancy cohort (Raine) Study: generation 1. BMJ Open 2019; 9, e026276.CrossRefGoogle ScholarPubMed
Lahelma, E, Aittomäki, A, Laaksonen, M, et al. Cohort profile: the Helsinki health study. Int J Epidemiol. 2012; 42, 722730.CrossRefGoogle ScholarPubMed
Lumey, LH, Stein, AD, Kahn, HS, et al. Cohort profile: the Dutch hunger winter families study. Int J Epidemiol. 2007; 36: 11961204.CrossRefGoogle ScholarPubMed
Richter, L, Norris, S, Pettifor, J, Yach, D, Cameron, N. Cohort profile: Mandela’s children: the 1990 birth to twenty study in South Africa. Int J Epidemiol. 2007; 36: 504511.CrossRefGoogle ScholarPubMed
Bircher, J, Kuruvilla, S. Defining health by addressing individual, social, and environmental determinants: new opportunities for health care and public health. J Public Health Policy. 2014; 35, 363386.CrossRefGoogle ScholarPubMed
Suzuki, K. The developing world of DOHaD. J Dev Orig Health Dis. 2018; 9, 266269.CrossRefGoogle ScholarPubMed
National Collaborating Centre for Methods and Tools. Methods: Synthesis 1. Rapid reviews: Methods and implications [Internet]. Hamilton ON: National Collaborating Centre for Methods and Tools. Available from: http://www.nccmt.ca/pubs/Methods_Sythesis1.pdf.Google Scholar
Moher, D, Liberati, A, Tetzlaff, J, Altman, DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol. 2009; 62, 10061012.CrossRefGoogle ScholarPubMed
Wazana, AD, Evans, J, Pearson, R, Tiemeir, H, Meaney, M. Dream Big: Developmental Research in Environmental Adversity, Mental health, Biological susceptibility and Gender [Internet].[cited 2019, Sep 11]. Available from: http://dreambigresearch.com/ Google Scholar
Cecil, CAM, Lysenko, LJ, Jaffee, SR, et al. Environmental risk, Oxytocin Receptor Gene (OXTR) methylation and youth callous-unemotional traits: a 13-year longitudinal study. Mol Psychiatry. 2014; 19, 10711077.CrossRefGoogle ScholarPubMed
Rico-Campà, A, Martínez-González, MA, Alvarez-Alvarez, I, et al. Association between consumption of ultra-processed foods and all cause mortality: SUN prospective cohort study. BMJ. 2019; 365, l1949.CrossRefGoogle ScholarPubMed
Stahl-Timmins, W, Peninsula Technology Assessment Group, European Center for Environment and Human Health. GOfER Guide v2.6 [Online]. Exeter: University of Exeter; [cited 2019 July 19]. p. 4. Available from: http://blogs.exeter.ac.uk/gofer/.Google Scholar
Mauri, M, Elli, T, Caviglia, G, Uboldi, G, Azzi, M. RAWGraphs: A Visualisation Platform to Create Open Outputs. Proceedings of the 12th Biannual Conference on Italian SIGCHI Chapter. Cagliari, Italy: ACM; 2017. p. 1–5.CrossRefGoogle Scholar
Alvarez-Bueno, C, Cavero-Redondo, I, Lucas-de la Cruz, L, Notario-Pacheco, B, Martinez-Vizcaino, V. Association between pre-pregnancy overweight and obesity and children’s neurocognitive development: a systematic review and meta-analysis of observational studies. Int J Epidemiol. 2017; 46, 16531666.CrossRefGoogle ScholarPubMed
Andersson, NW, Hansen, MV, Larsen, AD, Hougaard, KS, Kolstad, HA, Schlunssen, V. Prenatal maternal stress and atopic diseases in the child: a systematic review of observational human studies. Allergy. 2016; 71, 1526.CrossRefGoogle ScholarPubMed
Birks, L, Casas, M, Garcia, AM, et al. Occupational exposure to endocrine-disrupting chemicals and birth weight and length of gestation: a European meta-analysis. Environ Health Perspect. 2016; 124, 17851793.CrossRefGoogle ScholarPubMed
Bleker, LS, van Dammen, L, Leeflang, MMG, Limpens, J, Roseboom, TJ, de Rooij, SR. Hypothalamic-pituitary-adrenal axis and autonomic nervous system reactivity in children prenatally exposed to maternal depression: a systematic review of prospective studies. Neurosci Biobehav Rev. 2018; 5, 33.Google Scholar
Burke, H, Leonardi-Bee, J, Hashim, A, et al. Prenatal and passive smoke exposure and incidence of Asthma and Wheeze: systematic review and meta-analysis. Pediatrics. 2012; 129, 735744.CrossRefGoogle ScholarPubMed
Bussières, E-L, Tarabulsy, GM, Pearson, J, Tessier, R, Forest, J-C, Giguère, Y. Maternal prenatal stress and infant birth weight and gestational age: a meta-analysis of prospective studies. Dev Rev. 2015; 36, 179199.CrossRefGoogle Scholar
Cook, N, Ayers, S, Horsch, A. Maternal posttraumatic stress disorder during the perinatal period and child outcomes: a systematic review. J Affect Disord. 2018; 225, 1831.CrossRefGoogle ScholarPubMed
Crider, KS, Cordero, AM, Yan Ping, Q, Mulinare, J, Dowling, NF, Berry, RJ. Prenatal folic acid and risk of asthma in children: a systematic review and meta-analysis. Am J Clin Nutr. 2013; 98, 12721281.CrossRefGoogle ScholarPubMed
Dalrymple, KV, Martyni-Orenowicz, J, Flynn, AC, Poston, L, O’Keeffe, M. Can antenatal diet and lifestyle interventions influence childhood obesity? A systematic review. Matern Child Nutr 2018; 14, e12628.CrossRefGoogle ScholarPubMed
Davidsen, KA, Harder, S, MacBeth, A, Lundy, J-M, Gumley, A. Mother–infant interaction in schizophrenia: transmitting risk or resilience? A systematic review of the literature. Soc Psychiatry Psychiatr Epidemiol. 2015; 50, 17851798.CrossRefGoogle ScholarPubMed
Delgado-Noguera, MF, Calvache, JA, Bonfill Cosp, X. Supplementation with long chain polyunsaturated fatty acids (LCPUFA) to breastfeeding mothers for improving child growth and development. Cochrane Database Syst Rev. 2015; 7, CD007901.Google Scholar
Doherty, AM, Lodge, CJ, Dharmage, SC, Dai, X, Bode, L, Lowe, AJ. Human milk oligosaccharides and associations with immune-mediated disease and infection in childhood: a systematic review. Front Pediatr. 2018; 6, 91.CrossRefGoogle ScholarPubMed
Ejaredar, M, Nyanza, EC, Ten Eycke, K, Dewey, D. Phthalate exposure and childrens neurodevelopment: A systematic review. Environ Res. 2015; 142, 5160.CrossRefGoogle ScholarPubMed
Faucher, MA, Hastings-Tolsma, M, Song, JJ, Willoughby, DS, Bader, SG. Gestational weight gain and preterm birth in obese women: a systematic review and meta-analysis. BJOG. 2016; 123, 199206.CrossRefGoogle ScholarPubMed
Figueiró-Filho, EA, Mak, LE, Reynolds, JN, et al. Neurological function in children born to preeclamptic and hypertensive mothers - a systematic review. Pregnancy Hypertens. 2017; 10, 16.CrossRefGoogle ScholarPubMed
Garcia-Larsen, V, Ierodiakonou, D, Jarrold, K, et al. Diet during pregnancy and infancy and risk of allergic or autoimmune disease: a systematic review and meta-analysis. PLoS Med. 2018; 15, e1002507.CrossRefGoogle ScholarPubMed
Grote, NK, Bridge, JA, Gavin, AR, Melville, JL, Iyengar, S, Katon, WJ. A meta-analysis of depression during pregnancy and the risk of preterm birth, low birth weight, and intrauterine growth restriction. Arch Gen Psychiatry. 2010; 67, 10121024.CrossRefGoogle ScholarPubMed
Gruzieva, O, Xu, C-J, Breton, CV, et al. Epigenome-wide meta-analysis of methylation in children related to prenatal NO2 air pollution exposure. Environ Health Perspect. 2017; 125, 104110.CrossRefGoogle ScholarPubMed
Guillemette, L, Hay, JL, Kehler, DS, et al. Exercise in pregnancy and children’s cardiometabolic risk factors: a systematic review and meta-analysis. Sports Med Open. 2018; 4, 35.CrossRefGoogle ScholarPubMed
Gunaratne, AW, Makrides, M, Collins, CT. Maternal prenatal and/or postnatal n-3 long chain polyunsaturated fatty acids (LCPUFA) supplementation for preventing allergies in early childhood. Cochrane Database Syst Rev. 2015; 7, CD010085.Google Scholar
Hoang, TT, Agopian, AJ, Mitchell, LE. Maternal use of weight loss products and the risk of neural tube defects in offspring: a systematic literature review. Birth Defects Res. 2018; 110, 4855.CrossRefGoogle ScholarPubMed
Jiang, H-y, Xu, L-l, Shao, L, et al. Maternal infection during pregnancy and risk of autism spectrum disorders: a systematic review and meta-analysis. Brain Behav Immun. 2016; 58, 165172.CrossRefGoogle ScholarPubMed
Joubert, BR, den Dekker, HT, Felix, JF, et al. Maternal plasma folate impacts differential DNA methylation in an epigenome-wide meta-analysis of newborns. Nat Commun. 2016; 7, 10577.CrossRefGoogle Scholar
Joubert, BR, Felix, JF, Yousefi, P, et al. DNA methylation in newborns and maternal smoking in pregnancy: genome-wide consortium meta-analysis. Am J Hum Genet. 2016; 98, 680696.CrossRefGoogle ScholarPubMed
Kingston, D, Tough, S, Whitfield, H. Prenatal and postpartum maternal psychological distress and infant development: a systematic review. Child Psychiatry Hum Dev. 2012; 43, 683714.CrossRefGoogle ScholarPubMed
Klimentopoulou, A, Antonopoulos, CN, Papadopoulou, C, et al. Maternal smoking during pregnancy and risk for childhood leukemia: a nationwide case-control study in Greece and meta-analysis. Pediatr Blood Cancer. 2012; 58, 344351.CrossRefGoogle ScholarPubMed
Krishna, M, Jones, S, Maden, M, et al. Size at birth and cognitive ability in late life: a systematic review. Int J Geriatr Psychiatry. 2019; 34, 11391169.CrossRefGoogle ScholarPubMed
Lean, SC, Derricott, H, Jones, RL, Heazell, AEP. Advanced maternal age and adverse pregnancy outcomes: a systematic review and meta-analysis. PLoS One. 2017; 12, e0186287.CrossRefGoogle ScholarPubMed
Lee, YQ, Collins, CE, Gordon, A, Rae, KM, Pringle, KG. The relationship between maternal nutrition during pregnancy and offspring kidney structure and function in humans: a systematic review. Nutrients. 2018; 10, 241.CrossRefGoogle ScholarPubMed
Leventakou, V, Roumeliotaki, T, Martinez, D, et al. Fish intake during pregnancy, fetal growth, and gestational length in 19 European birth cohort studies. Am J Clin Nutr. 2014; 99, 506516.CrossRefGoogle Scholar
Lucas-Thompson, RG, Goldberg, WA, Prause, J. Maternal work early in the lives of children and its distal associations with achievement and behavior problems: a meta-analysis. Psychol Bull. 2010; 136, 915942.CrossRefGoogle ScholarPubMed
Ludwig-Walz, H, Schmidt, M, Gunther, ALB, Kroke, A. Maternal prepregnancy BMI or weight and offspring’s blood pressure: systematic review. Matern Child Nutr. 2018; 14, e12561.CrossRefGoogle ScholarPubMed
McNamara, BJ, Gubhaju, L, Chamberlain, C, Stanley, F, Eades, SJ. Early life influences on cardio-metabolic disease risk in aboriginal populations--what is the evidence? A systematic review of longitudinal and case-control studies. Int J Epidemiol. 2012; 41, 16611682.CrossRefGoogle ScholarPubMed
Mech, P, Hooley, M, Skouteris, H, Williams, J. Parent-related mechanisms underlying the social gradient of childhood overweight and obesity: a systematic review. Child Care Health Dev. 2016; 42, 603624.CrossRefGoogle ScholarPubMed
Melody, SM, Ford, J, Wills, K, Venn, A, Johnston, FH. Maternal exposure to short-to medium-term outdoor air pollution and obstetric and neonatal outcomes: a systematic review. Environ Pollut. 2019; 244, 915925.CrossRefGoogle ScholarPubMed
Miller, J, Tonkin, E, Damarell, RA, et al. A systematic review and meta-analysis of human milk feeding and morbidity in very low birth weight infants. Nutrients. 2018; 10, 707.CrossRefGoogle ScholarPubMed
Molina Lima, SA, El Dib, RP, Kron Rodrigues, MR, et al. Is the risk of low birth weight or preterm labor greater when maternal stress is experienced during pregnancy? A systematic review and meta-analysis of cohort studies. PLoS One 2018; 13, e0200594.CrossRefGoogle ScholarPubMed
Oh, DL, Jerman, P, Marques, SS, et al. Systematic review of pediatric health outcomes associated with childhood adversity. BMC Pediatr. 2018; 18, 119.CrossRefGoogle ScholarPubMed
Pastorino, S, Bishop, T, Crozier, SR, et al. Associations between maternal physical activity in early and late pregnancy and offspring birth size: remote federated individual level meta-analysis from eight cohort studies. BJOG. 2019; 126, 459470.CrossRefGoogle ScholarPubMed
Pearson, J, Tarabulsy, GM, Bussieres, EL. Foetal programming and cortisol secretion in early childhood: a meta-analysis of different programming variables. Infant Behav Dev. 2015; 40, 204215.10.1016/j.infbeh.2015.04.004CrossRefGoogle ScholarPubMed
Roth, DE, Leung, M, Mesfin, E, Qamar, H, Watterworth, J, Papp, E. Vitamin D supplementation during pregnancy: state of the evidence from a systematic review of randomised trials. BMJ. 2017; 359: j5237.CrossRefGoogle ScholarPubMed
Ruiz, M, Goldblatt, P, Morrison, J, et al. Mother’s education and the risk of preterm and small for gestational age birth: a DRIVERS meta-analysis of 12 European cohorts. J Epidemiol Commun Health. 2015; 69, 826833.CrossRefGoogle ScholarPubMed
Santamaria, C, Bi, WG, Leduc, L, et al. Prenatal vitamin D status and offspring’s growth, adiposity and metabolic health: a systematic review and meta-analysis. British J Nutr. 2018; 119, 310319.CrossRefGoogle ScholarPubMed
Sharp, GC, Salas, LA, Monnereau, C, et al. Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium. Hum Mol Genet. 2017; 26, 40674085.CrossRefGoogle ScholarPubMed
Smith, ER, Shankar, AH, Wu, LSF, et al. Modifiers of the effect of maternal multiple micronutrient supplementation on stillbirth, birth outcomes, and infant mortality: a meta-analysis of individual patient data from 17 randomised trials in low-income and middle-income countries. Lancet Global Health. 2017; 5: E1090E1100.CrossRefGoogle ScholarPubMed
Sweeney, S, MacBeth, A. The effects of paternal depression on child and adolescent outcomes: a systematic review. J Affect Disord. 2016; 205, 4459.CrossRefGoogle ScholarPubMed
Taylor, RM, Fealy, SM, Bisquera, A, et al. Effects of nutritional interventions during pregnancy on infant and child cognitive outcomes: a systematic review and meta-analysis. Nutrients. 2017; 9, 1265.CrossRefGoogle ScholarPubMed
Thomopoulos, TP, Ntouvelis, E, Diamantaras, A-A, et al. Maternal and childhood consumption of coffee, tea and cola beverages in association with childhood leukemia: a meta-analysis. Cancer Epidemiol. 2015; 39, 10471059.CrossRefGoogle ScholarPubMed
Tsuji, JS, Garry, MR, Perez, V, Chang, ET. Low-level arsenic exposure and developmental neurotoxicity in children: a systematic review and risk assessment. Toxicology. 2015; 337, 91107.CrossRefGoogle ScholarPubMed
Veena, SR, Gale, CR, Krishnaveni, GV, et al. Association between maternal nutritional status in pregnancy and offspring cognitive function during childhood and adolescence; a systematic review. BMC Pregnancy Childbirth. 2016; 16, 124.CrossRefGoogle ScholarPubMed
Wang, C, Geng, H, Liu, W, Zhang, G. Prenatal, perinatal, and postnatal factors associated with autism: a meta-analysis. Medicine (Baltimore). 2017; 96, e6696.CrossRefGoogle ScholarPubMed
Wei, Z, Zhang, J, Yu, X. Maternal vitamin D status and childhood asthma, wheeze, and eczema: a systematic review and meta-analysis. Pediatr Allergy Immunol. 2016; 27, 612619.CrossRefGoogle ScholarPubMed
Xuan, Z, Zhongpeng, Y, Yanjun, G, et al. Maternal active smoking and risk of oral clefts: a meta-analysis. Oral Surg Oral Med Oral Pathol Oral Radiol. 2016; 122, 680690.CrossRefGoogle ScholarPubMed
Zhang, R, Han, S, Chen, G-C, et al. Effects of low-glycemic-index diets in pregnancy on maternal and newborn outcomes in pregnant women: a meta-analysis of randomized controlled trials. Eur J Nutr. 2018; 57, 167177.CrossRefGoogle ScholarPubMed
Zijlmans, MAC, Riksen-Walraven, JM, de Weerth, C. Associations between maternal prenatal cortisol concentrations and child outcomes: a systematic review. Neurosci Biobehav Rev. 2015; 53, 124.CrossRefGoogle ScholarPubMed
Zwink, N, Jenetzky, E, Brenner, H. Parental risk factors and anorectal malformations: systematic review and meta-analysis. Orphanet J Rare Dis. 2011; 6, 25.CrossRefGoogle ScholarPubMed
Rando, OJ, Simmons, RA. I’m eating for two: parental dietary effects on offspring metabolism. Cell. 2015; 161, 93105.CrossRefGoogle ScholarPubMed
Gutierrez, YM. Cultural factors affecting diet and pregnancy outcome of Mexican American adolescents. J Adolescent Health. 1999; 25, 227237.CrossRefGoogle ScholarPubMed
Lake, J, Turner, MS. Urgent need for improved mental health care and a more collaborative model of care. Perm J. 2017; 21, 1724.Google Scholar
Wehby, GL, Prater, K, McCarthy, AM, Castilla, EE, Murray, JC. The impact of maternal smoking during pregnancy on early child neurodevelopment. J Hum Cap. 2011; 5, 207254.CrossRefGoogle ScholarPubMed
Mandy, M, Nyirenda, M. Developmental origins of health and disease: the relevance to developing nations. Int Health. 2018; 10, 6670.CrossRefGoogle ScholarPubMed
Miranda, JJ, Kinra, S, Casas, JP, Davey Smith, G, Ebrahim, S. Non-communicable diseases in low- and middle-income countries: context, determinants and health policy. Trop Med Int Health. 2008; 13, 12251234.CrossRefGoogle ScholarPubMed
Lim, SY, Kim, EJ, Kim, A, Lee, HJ, Choi, HJ, Yang, SJ. Nutritional factors affecting mental health. Clin Nutr Res. 2016; 5, 143152.CrossRefGoogle ScholarPubMed
Akhter, S, Wohab, A. Health, nutrition and human resource development: a crucial link. BRAC Univ J. 2006; III, 125132.Google Scholar
Maselko, J, Bates, L, Bhalotra, S, et al. Socioeconomic status indicators and common mental disorders: evidence from a study of prenatal depression in Pakistan. SSM – Popul Health. 2017; 4, 19.Google ScholarPubMed
Hanson, M, Gluckman, P. Commentary: developing the future: life course epidemiology, DOHaD and evolutionary medicine. Int J Epidemiol. 2016; 45, 993996.CrossRefGoogle ScholarPubMed
Hanson, MA, Cooper, C, Aihie Sayer, A, Eendebak, RJ, Clough, GF, Beard, JR. Developmental aspects of a life course approach to healthy ageing. J Physiol. 2016; 594, 21472160.CrossRefGoogle ScholarPubMed
Aagaard-Hansen, J, Norris, SA, Maindal, HT, Hanson, M, Fall, C. What are the public health implications of the life course perspective? Glob Health Action. 2019; 12, 1603491.CrossRefGoogle ScholarPubMed
Cosco, TD, Howse, K, Brayne, C. Healthy ageing, resilience and wellbeing. Epidemiol Psychiat Sci. 2017; 26, 579583.CrossRefGoogle ScholarPubMed
Hoffman, DJ, Reynolds, RM, Hardy, DB. Developmental origins of health and disease: current knowledge and potential mechanisms. Nutr Rev. 2017; 75, 951970.CrossRefGoogle ScholarPubMed
Sharp, GC, Lawlor, DA, Richardson, SS. It’s the mother!: how assumptions about the causal primacy of maternal effects influence research on the developmental origins of health and disease. Soc Sci Med (1982). 2018; 213, 2027.CrossRefGoogle ScholarPubMed
Snow, ME, Tweedie, K, Pederson, A. Heard and valued: the development of a model to meaningfully engage marginalized populations in health services planning. BMC Health Ser Res. 2018; 18, 181.CrossRefGoogle Scholar
Sharp, GC, Schellhas, L, Richardson, SS, Lawlor, DA. Time to cut the cord: recognizing and addressing the imbalance of DOHaD research towards the study of maternal pregnancy exposures. J Dev Orig Health Dis. 2019; 10, 509512.CrossRefGoogle Scholar
Härkönen, J, Bernardi, F, Boertien, D. Family dynamics and child outcomes: an overview of research and open questions. Eur J Popul. 2017; 33, 163184.CrossRefGoogle ScholarPubMed
Oh, C, Keats, EC, Bhutta, ZA. Vitamin and mineral supplementation during pregnancy on maternal, birth, child health and development outcomes in low- and middle-income countries: a systematic review and meta-analysis. Nutrients. 2020; 12, 491.CrossRefGoogle ScholarPubMed
Mithal, A, Kalra, S. Vitamin D supplementation in pregnancy. Indian J Endocrinol Metab. 2014; 18, 593596.Google ScholarPubMed
Wall, CR, Stewart, AW, Camargo, CA, , Jr, et al. Vitamin D activity of breast milk in women randomly assigned to vitamin D3 supplementation during pregnancy1,2. Am J Clin Nutr. 2015; 103, 382388.CrossRefGoogle Scholar
Thiele, DK, Senti, JL, Anderson, CM. Maternal Vitamin D supplementation to meet the needs of the breastfed infant: a systematic review. J Hum Lactat. 2013; 29, 163170.CrossRefGoogle ScholarPubMed
Palacios, C, Trak-Fellermeier, MA, Martinez, RX, et al. Regimens of vitamin D supplementation for women during pregnancy. Cochrane Database Syst Rev. 2019; CD013446.CrossRefGoogle Scholar
Satyanarayana, VA, Lukose, A, Srinivasan, K. Maternal mental health in pregnancy and child behavior. Indian J Psychiat. 2011; 53, 351361.Google ScholarPubMed
Bruce, L, Béland, D, Bowen, A. MotherFirst: developing a maternal mental health strategy in Saskatchewan. Healthcare Policy = Politiques de sante 2012; 8, 4655.CrossRefGoogle ScholarPubMed
Fisher, SD. Paternal mental health: why is it relevant? Am J Lifestyle Med. 2016; 11, 200211.CrossRefGoogle ScholarPubMed
O’Donnell, KA, Gaudreau, H, Colalillo, S, et al. The maternal adversity, vulnerability and neurodevelopment project: theory and methodology. Can J Psychiat. 2014; 59, 497508.CrossRefGoogle ScholarPubMed
Sagner, M, McNeil, A, Puska, P, et al. The P4 health spectrum – a predictive, preventive, personalized and participatory continuum for promoting healthspan. Prog Cardiovasc Dis. 2017; 59. 506521.CrossRefGoogle ScholarPubMed
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