Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-23T08:05:25.020Z Has data issue: false hasContentIssue false
  • English
  • Français

DOHaD in low- and middle-income countries: a systematic review exploring gaps in DOHaD population studies

Part of: 2019 DOHaD 11th World Congress

Published online by Cambridge University Press:  21 April 2020

Siobhan Tu’akoi ,
Mark H. Vickers Open the ORCID record for Mark H. Vickers [Opens in a new window]  and
Jacquie L. Bay Open the ORCID record for Jacquie L. Bay [Opens in a new window]
Siobhan Tu’akoi
Affiliation:
Liggins Institute, University of Auckland, Auckland, New Zealand
Mark H. Vickers
Affiliation:
Liggins Institute, University of Auckland, Auckland, New Zealand
Jacquie L. Bay*
Affiliation:
Liggins Institute, University of Auckland, Auckland, New Zealand
*
Address for correspondence: Jacquie L. Bay, Liggins Institute, University of Auckland, Private Bag 92109, Victoria Street West, Auckland1142, New Zealand. Email: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Low- and middle-income countries (LMICs) are disproportionately affected by non-communicable diseases (NCDs), accounting for more than 80% of NCD-related deaths globally. Research into early-life influences on these diseases via the developmental origins of health and disease (DOHaD) paradigm has informed health promotion interventions and policies focused on optimising early-life health. However, little is known about where this research occurs and whether it reaches and reflects the countries most affected by NCDs. This review searched for DOHaD studies that investigated relationships between factors during pregnancy and at birth, with later-life NCD incidence, risk and related mortality. The aim of this review was to identify where DOHaD research has been conducted and whether this focus is appropriate and relevant, given the differential burden of NCDs. Embase, MEDLINE and Scopus were searched, and eligibility screening processes identified 136 final articles. This review found that 49.7% of DOHaD research was conducted on populations within Western Europe, 15.9% in East Asia, 12.7% in North America, 8.3% in Latin America and the Caribbean, and fewer in Australasia, South Asia, the Middle East, the Africas, and Central Asia. When categorised by income, this review found that 76.4% of studies were based in high-income countries, 19.1% in upper-middle-income and 4.5% in lower-middle-income countries. No studies were based in low-income countries. There is therefore a marked disconnect between where DOHaD research is undertaken and where the greatest NCD disease burden exists. Increasing DOHaD research capacity in LMICs is crucial to informing local strategies that can contribute to reducing the incidence of NCDs.

Keywords

Low and middle incomedevelopmental originsnon-communicable diseases
Type
Review
Information
Journal of Developmental Origins of Health and Disease , Volume 11 , Issue 6 , December 2020 , pp. 557 - 563
Check for updates
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2020

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

World Health Organization. Noncommunicable diseases. Geneva: World Health Organization; 2017 [cited 2018 May]; Available from: http://www.who.int/mediacentre/factsheets/fs355/en/.Google Scholar
NCD Alliance. The global epidemic. Geneva: The NCD Alliance; 2017 [cited 2019 November]; Available from: https://ncdalliance.org/the-global-epidemic.Google Scholar
Islam, SMS, Purnat, TD, Phuong, NTA, Mwingira, U, Schacht, K, Fröschl, G. Non-Communicable Diseases (NCDs) in developing countries: a symposium report. Global Health. 2014; 10(1), 81.CrossRefGoogle ScholarPubMed
World Health Organization. Western Pacific region. Geneva: World Health Organization; 2019 [cited 2019 November]; Available from: https://www.who.int/nmh/ncd-tools/western-pacific-region/en/.Google Scholar
World Health Organization. Global health observatory data repository: Noncommunicable disease risk factors. Geneva: World Health Organization; 2016 [cited 2019 June]; Available from: http://apps.who.int/gho/data/node.main.A867?lang=en.Google Scholar
Silveira, PP, Portella, AK, Goldani, MZ, Barbieri, MA. Developmental origins of health and disease (DOHaD). J de pediatria. 2007; 83(6), 494–504.CrossRefGoogle Scholar
Suzuki, K. The developing world of DOHaD. J Dev Origins Health Dis. 2018; 9(3), 266–269.CrossRefGoogle ScholarPubMed
Hanson, M, Gluckman, P. Early developmental conditioning of later health and disease: physiology or pathophysiology? Physiol Rev. 2014; 94(4), 1027–1076.CrossRefGoogle ScholarPubMed
Baird, J, Jacob, C, Barker, M, et al. Developmental origins of health and disease: a lifecourse approach to the prevention of non-communicable diseases. Healthcare. 2017; 5(14).CrossRefGoogle ScholarPubMed
Yajnik, CS, Deshmukh, US. Maternal nutrition, intrauterine programming and consequential risks in the offspring. Rev Endocr Metab Disord. 2008; 9(3), 203.CrossRefGoogle ScholarPubMed
Vickers, MH. Developmental programming and transgenerational transmission of obesity. In Handbook of Nutrition, Diet, and Epigenetics (eds. Patel V, Preedy V), 2017, pp. 1–18, Springer, Cham.Google Scholar
Bay, J, Mora, H, Sloboda, D, Morton, S, Vickers, M, Gluckman, P. Adolescent understanding of DOHaD concepts: a school-based intervention to support knowledge translation and behaviour change. J Dev Origins Health Dis. 2012; 3(6), 469–482.Google ScholarPubMed
Davies, P, Funder, J, Palmer, DJ, Sinn, J, Vickers, M, Wall, C. Early life nutrition and the opportunity to influence long-term health: an Australasian perspective. J Dev Origins Health Dis. 2016; 7(5), 440–448.CrossRefGoogle Scholar
Tanentsapf, I, Heitmann, BL, Adegboye, AR. Systematic review of clinical trials on dietary interventions to prevent excessive weight gain during pregnancy among normal weight, overweight and obese women. BMC Pregnancy Childbirth. 2011; 11(1), 81.CrossRefGoogle ScholarPubMed
Thangaratinam, S, Rogozińska, E, Jolly, K, et al. Effects of interventions in pregnancy on maternal weight and obstetric outcomes: meta-analysis of randomised evidence. BMJ. 2012; 344, e2088.CrossRefGoogle ScholarPubMed
Sumathipala, A, Siribaddana, S, Patel, V. Under-representation of developing countries in the research literature: ethical issues arising from a survey of five leading medical journals. BMC Med Ethics. 2004; 5(1), 5.CrossRefGoogle ScholarPubMed
Patel, V, Sumathipala, A. International representation in psychiatric literature: survey of six leading journals. Br J Psychiatry. 2001; 178(5), 406–409.CrossRefGoogle ScholarPubMed
Liberati, A, Altman, DG, Tetzlaff, J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009; 6(7), e1000100.CrossRefGoogle ScholarPubMed
Wieseler, B, McGauran, N. Reporting a systematic review. Chest. 2010; 137(5), 1240.Google ScholarPubMed
Modesti, PA, Reboldi, G, Cappuccio, FP, et al. Panethnic differences in blood pressure in Europe: a systematic review and meta-analysis. PloS One. 2016; 11(1), e0147601.CrossRefGoogle ScholarPubMed
Wells, G, Shea, B, O’Connell, D, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Ottawa: The Ottawa Hospital Research Institute; 2019 [cited 2019 November]; Available from: http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp.Google Scholar
Statistics New Zealand. Ethnicity. Wellington: Statistics New Zealand; 2019 [cited 2019 November]; Available from: http://archive.stats.govt.nz/methods/classifications-and-standards/classification-related-stats-standards/ethnicity/output.aspx.Google Scholar
World Bank Group. World Bank country and lending groups. Washington D.C.: World Bank Group; 2019 [cited 2019 November]; Available from: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups.Google Scholar
Rahman, M, Fukui, T. Biomedical publication—global profile and trend. Pub Health. 2003; 117(4), 274–280.CrossRefGoogle ScholarPubMed
Mendis, S, Yach, D, Bengoa, R, Narvaez, D, Zhang, X. Research gap in cardiovascular disease in developing countries. Lancet. 2003; 361(9376), 2246–2247.CrossRefGoogle ScholarPubMed
Salager-Meyer, F. Scientific publishing in developing countries: challenges for the future. J English Acad Purposes. 2008; 7(2), 121–132.Google Scholar
Patel, V, Kim, Y-R. Contribution of low-and middle-income countries to research published in leading general psychiatry journals, 2002–2004. Br J Psychiatry. 2007; 190(1), 77–78.Google ScholarPubMed
Guindon, GE, Lavis, JN, Becerra-Posada, F, et al. Bridging the gaps between research, policy and practice in low-and middle-income countries: a survey of health care providers. Can Med Assoc J. 2010; 182(9), E362–E372.CrossRefGoogle ScholarPubMed
Prescott, S, Logan, A. Transforming life: a broad view of the developmental origins of health and disease concept from an ecological justice perspective. Int J Environ Res Public Health. 2016; 13(11), 1075.CrossRefGoogle ScholarPubMed
Gosling, AL, Buckley, HR, Matisoo-Smith, E, Merriman, TR. Pacific populations, metabolic disease and ‘just-so stories’: a critique of the ‘thrifty genotype’ hypothesis in Oceania. Ann Hum Genet. 2015; 79(6), 470–480.CrossRefGoogle ScholarPubMed
Thow, AM, Heywood, P, Schultz, J, Quested, C, Jan, S, Colagiuri, S. Trade and the nutrition transition: strengthening policy for health in the Pacific. Ecol Food Nutr. 2011; 50(1), 18–42.CrossRefGoogle ScholarPubMed
Tu’akoi, S, Vickers, M, Tairea, K, et al. The significance of DOHaD for Small Island Developing States. J Dev Origins Health Dis. 2018; 9(5), 487–491.CrossRefGoogle ScholarPubMed
Richter, LM, Victora, CG, Hallal, PC, et al. Cohort profile: the consortium of health-orientated research in transitioning societies. Int J Epidemiol. 2012; 41(3), 621–626.CrossRefGoogle Scholar
Horton, R. North and South: bridging the information gap. Lancet. 2000; 355(9222), 2231–2236.CrossRefGoogle ScholarPubMed
Beran, D, Byass, P, Gbakima, A, et al. Research capacity building: obligations for global health partners. Lancet Global Health. 2017; 5(6), e567–e568.CrossRefGoogle ScholarPubMed
Horsley, T, Dingwall, O, Sampson, M. Checking reference lists to find additional studies for systematic reviews. Cochrane Database Syst Rev. 2011; (8), 1–21.Google ScholarPubMed
Wright, K, Golder, S, Rodriguez-Lopez, R. Citation searching: a systematic review case study of multiple risk behaviour interventions. BMC Med Res Methodol. 2014; 14(1), 73.CrossRefGoogle ScholarPubMed
Supplementary material: File

Tu’akoi et al. supplementary material

Tu’akoi et al. supplementary material

Download Tu’akoi et al. supplementary material(File)
File 283.4 KB