Cited by 40Gestational Diabetes Research and ManagementMaternal and Neonatal HealthcareBirth, Development, and Health

Pregnancy And Neonatal Diabetes Outcomes in Remote Australia: the PANDORA study—an observational birth cohort

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Maple-Brown, Louise, Lee, I-Lynn, Longmore, Danielle, Barzi, Federica, Connors, Christine, Boyle, Jacqueline A, Moore, Elizabeth, Whitbread, Cherie +27 more·2019·International Journal of Epidemiology

Abstract

BACKGROUND: In Australia's Northern Territory, 33% of babies are born to Indigenous mothers, who experience high rates of hyperglycemia in pregnancy. We aimed to determine the extent to which pregnancy outcomes for Indigenous Australian women are explained by relative frequencies of diabetes type [type 2 diabetes (T2DM) and gestational diabetes (GDM)]. METHODS: This prospective birth cohort study examined participants recruited from a hyperglycemia in pregnancy register. Baseline data collected were antenatal and perinatal clinical information, cord blood and neonatal anthropometry. Of 1135 women (48% Indigenous), 900 had diabetes: 175 T2DM, 86 newly diagnosed diabetes in pregnancy (DIP) and 639 had GDM. A group of 235 women without hyperglycemia in pregnancy was also recruited. RESULTS: Diabetes type differed for Indigenous and non-Indigenous women (T2DM, 36 vs 5%; DIP, 15 vs 7%; GDM, 49 vs 88%, p < 0.001). Within each diabetes type, Indigenous women were younger and had higher smoking rates. Among women with GDM/DIP, Indigenous women demonstrated poorer birth outcomes than non-Indigenous women: large for gestational age, 19 vs 11%, p = 0·002; neonatal fat 11.3 vs 10.2%, p < 0.001. In the full cohort, on multivariate regression, T2DM and DIP were independently associated (and Indigenous ethnicity was not) with pregnancy outcomes. CONCLUSIONS: Higher rates of T2DM among Indigenous women predominantly contribute to absolute poorer pregnancy outcomes among Indigenous women with hyperglycemia. As with Indigenous and minority populations globally, prevention or delay of type 2 diabetes in younger women is vital to improve pregnancy outcomes and possibly to improve the long-term health of their offspring.

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Research works printed but not linked: 29

  1. Kapur A, Mahmood T, Hod M. FIGO's response to the global challenge of hyperglycemia in pregnancy-toward a global con- sensus. Gynecol Endocrinol 2017;34:1-3.
  2. Chamberlain C, McNamara B, Williams ED et al. Diabetes in pregnancy among indigenous women in Australia, Canada, New Zealand and the United States: a systematic review of the evi- dence for screening in early pregnancy. Diabetes Metab Res Rev 2013;29:241-56.
  3. Sheppard AJ, Shapiro GD, Bushnik T et al. Birth outcomes among First Nations, Inuit and Metis populations. Health Rep 2017;28:11-16.
  4. Dabelea D, Knowler WC, Pettitt DJ. Effect of diabetes in preg- nancy on offspring: follow-up research in the Pima Indians. J Matern Fetal Med 2000;9:83-88.
  5. Mendelson M, Cloutier J, Spence L, Sellers E, Taback S, Dean H. Obesity and type 2 diabetes mellitus in a birth cohort of First Nation children born to mothers with pediatric-onset type 2 dia- betes. Pediatr Diabetes 2011;12:21928.
  6. Porter C, Skinner T, Ellis I. The current state of Indigenous and Aboriginal women with diabetes in pregnancy: a systematic re- view. Diabetes Res Clin Pract 2012;98:209-25.
  7. Murphy HR, Steel SA, Roland JM et al. Obstetric and perinatal outcomes in pregnancies complicated by Type 1 and Type 2 dia- betes: influences of glycaemic control, obesity and social disad- vantage. Diabet Med 2011;28:1060-67.
  8. Lee I, Purbrick B, Barzi F et al. Cohort profile: the Pregnancy and Neonatal Diabetes Outcomes in Remote Australia (PANDORA) study. Int J Epidemiol 2018;47:1045-46h. doi: 10.1093/ije/dyy046. · DOI
  9. Maple-Brown LJ, Brown A, Lee IL et al. Pregnancy and Neonatal Diabetes Outcomes in Remote Australia (PANDORA) study. BMC Pregnancy Childbirth 2013;13:221.
  10. Hoffman L, Nolan C, Wilson JD, Oats JJ, Simmons D. Gestational diabetes mellitus-management guidelines: the Australasian Diabetes in Pregnancy Society. Med J Aust 1998;169:93-97.
  11. Dobbins TA, Sullivan EA, Roberts CL, Simpson JM. Australian national birthweight percentiles by sex and gestational age, 1998-2007. Med J Aust 2012;197:291-94.
  12. Guaran RL, Wein P, Sheedy M, Walstab J, Beischer NA. Update of growth percentiles for infants born in an Australian popula- tion. Aust N Z J Obstet Gynaecol 1994;34:39-50.
  13. Catalano PM, Thomas AJ, Avallone DA, Amini SB. Anthropometric estimation of neonatal body composition. Am J Obstet Gynecol 1995;173:1176-81.
  14. Minges KE, Zimmet P, Magliano DJ, Dunstan DW, Brown A, Shaw JE. Diabetes prevalence and determinants in Indigenous Australian populations: a systematic review. Diabetes Res Clin Pract 2011;93:139-49.
  15. Wenman WM, Joffres MR, Tataryn IV. A prospective cohort study of pregnancy risk factors and birth outcomes in Aboriginal women. CMAJ 2004;171:585-89.
  16. Maple-Brown LJ, Brimblecombe J, Connelly PW et al. Similarities and differences in cardiometabolic risk factors among remote Aboriginal Australian and Canadian cohorts. Diabetes Res Clin Pract 2013;100:133-41.
  17. Naqshbandi M, Harris SB, Esler JG, Antwi-Nsiah F. Global complication rates of type 2 diabetes in Indigenous peoples: a comprehensive review. Diabetes Res Clin Pract 2008;82:1-17.
  18. Hewapathirana NM, Murphy HR. Perinatal outcomes in type 2 diabetes. Curr Diab Rep 2014;14:461.
  19. Kitzmiller JL, Wallerstein R, Correa A, Kwan S. Preconception care for women with diabetes and prevention of major congenital malfor- mations. Birth Defects Res A Clin Mol Teratol 2010;88:791-803.
  20. Wills RA, Coory MD. Effect of smoking among Indigenous and non-Indigenous mothers on preterm birth and full-term low birthweight. Med J Aust 2008;189:490-94.
  21. Azzopardi PS, Sawyer SM, Carlin JB et al. Health and wellbeing of indigenous adolescents in Australia: a systematic synthesis of population data. Lancet 2018;391:766-82.
  22. MacDorman MF, Cnattingius S, Hoffman HJ, Kramer MS, Haglund B. Sudden infant death syndrome and smoking in the United States and Sweden. Am J Epidemiol 1997;146:249-57.
  23. McCloskey K, Ponsonby AL, Collier F et al. The association be- tween higher maternal pre-pregnancy body mass index and in- creased birth weight, adiposity and inflammation in the newborn. Pediatr Obes 2018;13:46-53.
  24. Kabiru W, Raynor BD. Obstetric outcomes associated with in- crease in BMI category during pregnancy. Am J Obstet Gynecol 2004;191:928-32.
  25. Piers LS, Rowley KG, Soares MJ, O'Dea K. Relation of adiposity and body fat distribution to body mass index in Australians of Aboriginal and European ancestry. Eur J Clin Nutr 2003;57:956-63.
  26. Hutcheon JA, Zhang X, Platt RW, Cnattingius S, Kramer MS. The case against customised birthweight standards. Paediatr Perinat Epidemiol 2011;25:11-16.
  27. Feng X, Xu L, Guo Y, C R. Factors influencing rising caesarean section rates in China between 1988 and 2008. Bull World Health Organisation 2012;90:1-74.
  28. Khan MN, Islam MM, Shariff AA, Alam MM, Rahman MM. Socio-demographic predictors and average annual rates of cae- sarean section in Bangladesh between 2004 and 2014. PLoS One 2017;12:e0177579.
  29. Gibson O, Lisy K, Davy C et al. Enablers and barriers to the im- plementation of primary health care interventions for Indigenous people with chronic diseases: a systematic review. Implement Sci 2015;10:71.

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Authors
Maple-Brown, L., Lee, I.-L., Longmore, D., Barzi, F., Connors, C., Boyle, J. A., Moore, E., Whitbread, C., Kirkwood, M., Graham, S., Hampton, V., Simmonds, A., Van Dokkum, P., Kelaart, J., Thomas, S., Chitturi, S., Eades, S., Corpus, S., Lynch, M., Lu, Z. X., O'Dea, K., Zimmet, P., Oats, J., McIntyre, H. D., Brown, A. D. H., Shaw, J. E., PANDORA Study research team, Svenson, S., Wood, L., Davis, L., Dent, G., Stone, M., Harris, M., Inglis, C., & Dempsey, K.
Affiliations
  • Menzies School of Health Research (AU)
  • Government of the Northern Territory (AU)
  • Public Health Unit, Aboriginal Medical Services Alliance, Darwin, NT, Australia
  • Aboriginal Health Domain, Baker Heart and Diabetes Institute, Alice Springs, NT, Australia
  • Baker Heart and Diabetes Institute (AU)
  • Royal Darwin Hospital (AU)
  • Northern Territory Health Services (AU)
  • Pathology Network, Top End Health and Hospital Services, Darwin, NT, Australia
  • Monash University (AU)
  • Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, NT, Australia
  • The University of Melbourne (AU)
  • Faculty of Medicine, Mater Medical Research Institute, University of Queensland, Brisbane, QLD, Australia
  • South Australian Health and Medical Research Institute (AU)
  • The University of Queensland (AU)
  • University of South Australia (AU)
Corresponding author
Maple-Brown, Louise
Venue
International Journal of Epidemiology
Published
2018-11-30
Volume
48
Issue
1
Pages
307-318
ISSN
  • 0300-5771 (ISSN-L)
  • 1464-3685
OpenAlex
W2902827977
Cited by
40
References
1
Citations by year
2026: 7 · 2025: 2 · 2024: 10 · 2023: 4 · 2022: 8 · 2021: 4 · 2020: 4 · 2019: 1
FWCI
2.54
Type
journal article
Language
en
Open access
Locations
  • International Journal of Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
Funders
  • National Health and Medical Research Council of Australia
  • NHMRC (#1032116, #1078333, #631947, #605837, #1078477, #1038372, #1079438)
  • NHMRC Career Development Fellowship
  • Sylvia and Charles Viertel Senior Medical Research Fellowship
Topics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
  • Health Sciences › Health Professions › General Health Professions › Maternal and Neonatal Healthcare
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
Keywords
type 2 diabetes in pregnancy, gestational diabetes mellitus, neonatal diabetes, Indigenous Australian women, pregnancy outcomes, large for gestational age, umbilical cord blood, Northern Territory, type 2 diabetes prevention
MeSH terms
Anthropometry, Birth Weight, Breast Feeding, Child Development, Female, Gestational Age, Glucose Tolerance Test, Humans, Hyperglycemia, Infant, Newborn, Obstetric Labor Complications, Pregnancy, Pregnancy in Diabetics, Pregnancy Outcome, Prospective Studies, Northern Territory, Multivariate Analysis, Logistic Models, Diabetes, Gestational, Native Hawaiian or Other Pacific Islander

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