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Ahmed MA, Bailey HD, Pereira G, White SW, Wong K, Marriott R, Hare MJL, McNamara BJ, Shepherd CCJ. Shoulder dystocia in babies born to Aboriginal mothers with diabetes: a population-based cohort study, 1998-2015. BMC Pregnancy Childbirth 2024; 24:395. [PMID: 38816708 PMCID: PMC11137982 DOI: 10.1186/s12884-024-06484-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/05/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Australian Aboriginal and Torres Strait Islander women with diabetes in pregnancy (DIP) are more likely to have glycaemic levels above the target range, and their babies are thus at higher risk of excessive fetal growth. Shoulder dystocia, defined by failure of spontaneous birth of fetal shoulder after birth of the head requiring obstetric maneuvers, is an obstetric emergency that is strongly associated with DIP and fetal size. The aim of this study was to investigate the epidemiology of shoulder dystocia in Aboriginal babies born to mothers with DIP. METHODS Stratifying by Aboriginal status, characteristics of births complicated by shoulder dystocia in women with and without DIP were compared and incidence and time-trends of shoulder dystocia were described. Compliance with guidelines aiming at preventing shoulder dystocia in women with DIP were compared. Post-logistic regression estimation was used to calculate the population attributable fractions (PAFs) for shoulder dystocia associated with DIP and to estimate probabilities of shoulder dystocia in babies born to mothers with DIP at birthweights > 3 kg. RESULTS Rates of shoulder dystocia from vaginal births in Aboriginal babies born to mothers with DIP were double that of their non-Aboriginal counterparts (6.3% vs 3.2%, p < 0.001), with no improvement over time. Aboriginal mothers with diabetes whose pregnancies were complicated by shoulder dystocia were more likely to have a history of shoulder dystocia (13.1% vs 6.3%, p = 0.032). Rates of guideline-recommended elective caesarean section in pregnancies with diabetes and birthweight > 4.5 kg were lower in the Aboriginal women (28.6% vs 43.1%, p = 0.004). PAFs indicated that 13.4% (95% CI: 9.7%-16.9%) of shoulder dystocia cases in Aboriginal (2.7% (95% CI: 2.1%-3.4%) in non-Aboriginal) women were attributable to DIP. Probability of shoulder dystocia among babies born to Aboriginal mothers with DIP was higher at birthweights > 3 kg. CONCLUSIONS Aboriginal mothers with DIP had a higher risk of shoulder dystocia and a stronger association between birthweight and shoulder dystocia. Many cases were recurrent. These factors should be considered in clinical practice and when counselling women.
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Affiliation(s)
- Marwan Awad Ahmed
- Telethon Kids Institute, University of Western Australia, Perth, Australia.
- School of Population and Global Health, The University of Western Australia, Perth, Australia.
| | - Helen D Bailey
- Telethon Kids Institute, University of Western Australia, Perth, Australia
- Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
- enAble Institute, Curtin University, Perth, Western Australia, Australia
| | - Scott W White
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA, Australia
- Maternal Fetal Medicine Service, King Edward Memorial Hospital, Subiaco, WA, Australia
| | - Kingsley Wong
- Telethon Kids Institute, University of Western Australia, Perth, Australia
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Rhonda Marriott
- Ngangk Yira Research Centre, Murdoch University, Perth, WA, Australia
| | - Matthew J L Hare
- Wellbeing and Chronic Preventable Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
- Department of Endocrinology, Royal Darwin Hospital, Darwin, Northern Territory, Australia
| | - Bridgette J McNamara
- Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia
- Barwon South West Public Health Unit, Barwon Health, Geelong, Victoria, Australia
| | - Carrington C J Shepherd
- Telethon Kids Institute, University of Western Australia, Perth, Australia
- Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, Australia
- Ngangk Yira Research Centre, Murdoch University, Perth, WA, Australia
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Walker C, Begum T, Boyle JA, Ward J, Barzi F. Preconception Health of Indigenous Peoples in Australia, Canada, New Zealand, and the United States: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:345. [PMID: 38541344 PMCID: PMC10969840 DOI: 10.3390/ijerph21030345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/23/2024] [Accepted: 02/28/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND There is increasing recognition of the importance of the preconception period for addressing reproductive and intergenerational health inequities and supporting improved maternal and child health outcomes. This study aimed to understand the extent and type of evidence that exists in relation to preconception health for Indigenous peoples living in high-income countries with similar experiences of colonisation, namely, Australia, New Zealand, Canada, and the United States. METHODS This review was conducted as per the JBI methodology and PRISMA Extension for Scoping Reviews. A comprehensive search of PubMed, CINAHL [EBSCO], Ovid Embase, Scopus, and the Wiley Cochrane Library was conducted using keywords and index terms. We included research in English published between January 2010 and June 2023 on quantitative and qualitative primary studies. Data were extracted using a standardised tool, and the analysis included quantitative descriptions and qualitative content analysis. RESULTS We identified 360 potential studies and included 57 articles in the review. Most studies were from the United States (n = 36, 63.2%) and Australia (n = 13, 22.8%), and they commonly reported associations between preconception health risk factors and maternal or child health outcomes (n = 27, 48.2%) or described the development, implementation, or evaluation of preconception health interventions (n = 26, 46.4%). Common preconception health areas were pre-pregnancy body mass index or weight (n = 34), alcohol (n = 16), diet (n = 14), physical activity (n = 12), and diabetes (n = 11). Most studies focused exclusively on women (n = 46, 80.7%), and very few included men (n = 3, 5.3%). The study populations were mostly urban and rural (n = 25, 43.9%) or rural only (n = 14, 24.6%); however, the geographical remoteness was often unclear (n = 14, 24.6%). CONCLUSIONS While there was some research relating to the preconception health of Indigenous peoples, this review identified considerable research gaps. There is a need for dedicated research into preconception health risk factors and reproductive health outcomes, attitudes and awareness of preconception health, and preconception health interventions for Indigenous peoples.
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Affiliation(s)
- Clara Walker
- UQ Poche Centre for Indigenous Health, The University of Queensland, Toowong, QLD 4066, Australia
- Centre for Health Research, University of Southern Queensland, Toowoomba, QLD 4350, Australia
| | - Tahmina Begum
- UQ Poche Centre for Indigenous Health, The University of Queensland, Toowong, QLD 4066, Australia
| | - Jacqueline A Boyle
- Eastern Health Clinical School, Monash University, Box Hill, VIC 3128, Australia
| | - James Ward
- UQ Poche Centre for Indigenous Health, The University of Queensland, Toowong, QLD 4066, Australia
| | - Federica Barzi
- UQ Poche Centre for Indigenous Health, The University of Queensland, Toowong, QLD 4066, Australia
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McLean A, Barr E, Tabuai G, Murphy HR, Maple-Brown L. Continuous Glucose Monitoring Metrics in High-Risk Pregnant Women with Type 2 Diabetes. Diabetes Technol Ther 2023; 25:836-844. [PMID: 37902969 DOI: 10.1089/dia.2023.0300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
Objective: To describe glucose metrics in a high-risk population of women with type 2 diabetes (T2DM) in pregnancy and to explore the associations with neonatal outcomes. Research Design and Methods: Prospective observational study of 57 women. Continuous glucose monitoring (CGM) trajectories were determined from metrics collected in early and late gestation using the first and last two (mean 16 and 35) weeks of Freestyle Libre data. Logistic regression was used to examine associations of CGM metrics with neonatal hypoglycemia (glucose <2.6 mmol/L requiring intravenous dextrose) and large for gestational age (LGA) (>90th percentile for gestational age and sex). Pregnancy-specific target glucose range was 3.5-7.8 mmol/L (63-140 mg/dL). Results: Forty-one women used CGM for 15 weeks (mean age 33 years, 73% Aboriginal or Torres Strait Islander, 32% living remotely). There was limited change in average metrics from early to late pregnancy. For the subgroup with sensor use >50% (n = 29), mean time in range (TIR) increased by 9%, time above range reduced by 12%, average glucose reduced by 1 mmol/L, and time below range increased by 3%. Neonatal hypoglycemia was associated with most CGM metrics, HbA1c and CGM targets, particularly those from late pregnancy. LGA was associated with hyperglycemic metrics from early pregnancy. Each 1% increase TIR was associated with a 4%-5% reduction in risk of neonatal complications. Conclusion: In this high-risk group of women with T2DM, CGM metrics only improved during pregnancy in those with greater sensor use and were associated with LGA in early pregnancy and neonatal hypoglycemia throughout. Culturally appropriate health care strategies are critical for successful use of CGM technology.
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Affiliation(s)
- Anna McLean
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, Darwin, Australia
- Endocrinology Department, Cairns Hospital, Cairns, Australia
| | - Elizabeth Barr
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, Darwin, Australia
| | - Georgina Tabuai
- Endocrinology Department, Cairns Hospital, Cairns, Australia
| | - Helen R Murphy
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Louise Maple-Brown
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, Darwin, Australia
- Endocrinology Department, Royal Darwin Hospital, Darwin, Australia
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Titmuss A, Barzi F, Barr ELM, Webster V, Wood A, Kelaart J, Kirkwood M, Connors C, Boyle JA, Moore E, Oats J, McIntyre HD, Zimmet P, Brown ADH, Shaw JE, Craig ME, Maple-Brown LJ. Association between maternal hyperglycemia in pregnancy and offspring anthropometry in early childhood: the pandora wave 1 study. Int J Obes (Lond) 2023; 47:1120-1131. [PMID: 37608089 PMCID: PMC10599996 DOI: 10.1038/s41366-023-01366-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 07/30/2023] [Accepted: 08/10/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND In-utero hyperglycemia exposure influences later cardiometabolic risk, although few studies include women with pre-existing type 2 diabetes (T2D) or assess maternal body mass index (BMI) as a potential confounder. OBJECTIVE To explore the association of maternal T2D and gestational diabetes mellitus (GDM) with childhood anthropometry, and the influence of maternal BMI on these associations. METHODS The PANDORA cohort comprises women (n = 1138) and children (n = 1163). Women with GDM and T2D were recruited from a hyperglycemia in pregnancy register, and women with normoglycemia from the community. Wave 1 follow-up included 423 children, aged 1.5-5 years (median follow-up age 2.5 years). Multivariable linear regression assessed associations between maternal antenatal variables, including BMI and glycemic status, with offspring anthropometry (weight, height, BMI, skinfold thicknesses, waist, arm and head circumferences). RESULTS Greater maternal antenatal BMI was associated with increased anthropometric measures in offspring independent of maternal glycemic status. After adjustment, including for maternal BMI, children exposed to maternal GDM had lower mean weight (-0.54 kg, 95% CI: -0.99, -0.11), BMI (-0.55 kg/m2, 95% CI: -0.91, -0.20), head (-0.52 cm, 95% CI: -0.88, -0.16) and mid-upper arm (-0.32 cm, 95% CI: -0.63, -0.01) circumferences, and greater mean suprailiac skinfold (0.78 mm, 95% CI: 0.13, 1.43), compared to children exposed to normoglycemia. Adjustment for maternal BMI strengthened the negative association between GDM and child weight, BMI and circumferences. Children exposed to maternal T2D had smaller mean head circumference (-0.82 cm, 95% CI: -1.33, -0.31) than children exposed to normoglycemia. Maternal T2D was no longer associated with greater child mean skinfolds (p = 0.14) or waist circumference (p = 0.18) after adjustment for maternal BMI. CONCLUSIONS Children exposed to GDM had greater suprailiac skinfold thickness than unexposed children, despite having lower mean weight, BMI and mid-upper arm circumference, and both GDM and T2D were associated with smaller mean head circumference. Future research should assess whether childhood anthropometric differences influence lifetime cardiometabolic and neurodevelopmental risk.
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Affiliation(s)
- Angela Titmuss
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
- Paediatric Department, Division of Women, Child and Youth, Royal Darwin Hospital, Darwin, NT, Australia.
| | - Federica Barzi
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Poche Centre for Indigenous Health, University of Queensland, Brisbane, QLD, Australia
| | - Elizabeth L M Barr
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Clinical and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Vanya Webster
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | - Anna Wood
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Endocrinology Department, Division of Medicine, Royal Darwin Hospital, Darwin, NT, Australia
| | - Joanna Kelaart
- Aboriginal Health Domain, Baker Heart and Diabetes Institute, Alice Springs, NT, Australia
| | - Marie Kirkwood
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | | | - Jacqueline A Boyle
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Elizabeth Moore
- Public Health Unit, Aboriginal Medical Services Alliance of Northern Territory, Darwin, NT, Australia
| | - Jeremy Oats
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - H David McIntyre
- Faculty of Medicine, Mater Medical Research Institute, University of Queensland, Brisbane, QLD, Australia
| | - Paul Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Alex D H Brown
- University of South Australia, Adelaide, SA, Australia
- Wardliparingga Aboriginal Research Unit, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
- Australian National University, Canberra, ACT, Australia
- Telethon Kids Institute, Perth, WA, Australia
| | - Jonathan E Shaw
- Clinical and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Maria E Craig
- School of Women's and Children's Health, University of New South Wales, Sydney, NSW, Australia
| | - Louise J Maple-Brown
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Endocrinology Department, Division of Medicine, Royal Darwin Hospital, Darwin, NT, Australia
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Ahmed MA, Bailey HD, Pereira G, White SW, Wong K, McNamara BJ, Rheeder P, Marriott R, Shepherd CCJ. The impact of diabetes during pregnancy on neonatal outcomes among the Aboriginal population in Western Australia: a whole-population study. Int J Epidemiol 2023; 52:1400-1413. [PMID: 37263617 DOI: 10.1093/ije/dyad072] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 05/13/2023] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND Aboriginal and Torres Strait Islander (hereafter Aboriginal) women have a high prevalence of diabetes in pregnancy (DIP), which includes pre-gestational diabetes mellitus (PGDM) and gestational diabetes mellitus (GDM). We aimed to characterize the impact of DIP in babies born to Aboriginal mothers. METHODS A retrospective cohort study, using routinely collected linked health data that included all singleton births (N = 510 761) in Western Australia between 1998 and 2015. Stratified by Aboriginal status, generalized linear mixed models quantified the impact of DIP on neonatal outcomes, estimating relative risks (RRs) with 95% CIs. Ratio of RRs (RRRs) examined whether RRs differed between Aboriginal and non-Aboriginal populations. RESULTS Exposure to DIP increased the risk of adverse outcomes to a greater extent in Aboriginal babies. PGDM heightened the risk of large for gestational age (LGA) (RR: 4.10, 95% CI: 3.56-4.72; RRR: 1.25, 95% CI: 1.09-1.43), macrosomia (RR: 2.03, 95% CI: 1.67-2.48; RRR: 1.39, 95% CI: 1.14-1.69), shoulder dystocia (RR: 4.51, 95% CI: 3.14-6.49; RRR: 2.19, 95% CI: 1.44-3.33) and major congenital anomalies (RR: 2.14, 95% CI: 1.68-2.74; RRR: 1.62, 95% CI: 1.24-2.10). GDM increased the risk of LGA (RR: 2.63, 95% CI: 2.36-2.94; RRR: 2.00, 95% CI: 1.80-2.22), macrosomia (RR: 1.95, 95% CI: 1.72-2.21; RRR: 2.27, 95% CI: 2.01-2.56) and shoulder dystocia (RR: 2.78, 95% CI: 2.12-3.63; RRR: 2.11, 95% CI: 1.61-2.77). Birthweight mediated about half of the DIP effect on shoulder dystocia only in the Aboriginal babies. CONCLUSIONS DIP differentially increased the risks of fetal overgrowth, shoulder dystocia and congenital anomalies in Aboriginal babies. Improving care for Aboriginal women with diabetes and further research on preventing shoulder dystocia among these women can reduce the disparities.
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Affiliation(s)
- Marwan Awad Ahmed
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Helen D Bailey
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
- enAble Institute, Curtin University, Perth, Western Australia, Australia
| | - Scott W White
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
- Maternal Fetal Medicine Service, King Edward Memorial Hospital, Subiaco, Western Australia, Australia
| | - Kingsley Wong
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Bridgette J McNamara
- Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia
| | - Paul Rheeder
- Department of Internal Medicine, Steve Biko Academic Hospital, University of Pretoria, Pretoria, South Africa
| | - Rhonda Marriott
- Ngangk Yira Research Centre, Murdoch University, Perth, Western Australia, Australia
| | - Carrington C J Shepherd
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
- Ngangk Yira Research Centre, Murdoch University, Perth, Western Australia, Australia
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Wood AJ, Lee I, Barr ELM, Barzi F, Boyle JA, Connors C, Moore E, Oats JJN, McIntyre HD, Titmuss A, Simmonds A, Zimmet PZ, Brown ADH, Corpus S, Shaw JE, Maple‐Brown LJ. Postpartum uptake of diabetes screening tests in women with gestational diabetes: The PANDORA study. Diabet Med 2023; 40:e14999. [PMID: 36336995 PMCID: PMC10946515 DOI: 10.1111/dme.14999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 09/21/2022] [Accepted: 10/23/2022] [Indexed: 11/09/2022]
Abstract
AIMS To determine rates and predictors of postpartum diabetes screening among Aboriginal and/or Torres Strait Islander and non-Indigenous women with gestational diabetes mellitus (GDM). METHODS PANDORA is a prospective longitudinal cohort of women recruited in pregnancy. Postpartum diabetes screening rates at 12 weeks (75-g oral glucose tolerance test (OGTT)) and 6, 12 and 18 months (OGTT, glycated haemoglobin [HbA1C ] or fasting plasma glucose) were assessed for women with GDM (n = 712). Associations between antenatal factors and screening with any test (OGTT, HbA1C , fasting plasma glucose) by 6 months postpartum were examined using Cox proportional hazards regression. RESULTS Postpartum screening rates with an OGTT by 12 weeks and 6 months postpartum were lower among Aboriginal and/or Torres Strait Islander women than non-Indigenous women (18% vs. 30% at 12 weeks, and 23% vs. 37% at 6 months, p < 0.001). Aboriginal and/or Torres Strait Islander women were more likely to have completed a 6-month HbA1C compared to non-Indigenous women (16% vs. 2%, p < 0.001). Screening by 6 months postpartum with any test was 41% for Aboriginal and/or Torres Strait Islander women and 45% for non-Indigenous women (p = 0.304). Characteristics associated with higher screening rates with any test by 6 months postpartum included, insulin use in pregnancy, first pregnancy, not smoking and lower BMI. CONCLUSIONS Given very high rates of type 2 diabetes among Aboriginal and Torres Strait Islander women, early postpartum screening with the most feasible test should be prioritised to detect prediabetes and diabetes for intervention.
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Affiliation(s)
- Anna J. Wood
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Department of EndocrinologyRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - I‐Lynn Lee
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | - Elizabeth L. M. Barr
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Federica Barzi
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | - Jacqueline A. Boyle
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Monash Centre for Health Research and ImplementationMonash UniversityClaytonVictoriaAustralia
| | - Christine Connors
- Top End Health ServiceNorthern Territory Department of HealthCasuarinaNorthern TerritoryAustralia
| | - Elizabeth Moore
- Aboriginal Medical Services Alliance Northern TerritoryNorthern TerritoryDarwinAustralia
| | - Jeremy J. N. Oats
- Melbourne School of Population and Global HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - Harold D. McIntyre
- Mater ResearchThe University of QueenslandSouth BrisbaneQueenslandAustralia
| | - Angela Titmuss
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Department of Paediatrics, Division of WomenChildren and Youth, Royal Darwin HospitalCasuarinaNorthern TerritoryAustralia
| | - Alison Simmonds
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | - Paul Z. Zimmet
- Department of DiabetesCentral Clinical School, Monash UniversityClaytonVictoriaAustralia
| | - Alex D. H. Brown
- University of AdelaideAdelaideSouth AustraliaAustralia
- South Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia
| | - Sumaria Corpus
- Aboriginal and Torres Strait Islander Advisory GroupMenzies School of Health Research, Charles Darwin UniversityCasuarinaNorthern TerritoryAustralia
| | | | - Louise J. Maple‐Brown
- Menzies School of Health ResearchCharles Darwin UniversityCasuarinaNorthern TerritoryAustralia
- Department of EndocrinologyRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
- Aboriginal and Torres Strait Islander Advisory GroupMenzies School of Health Research, Charles Darwin UniversityCasuarinaNorthern TerritoryAustralia
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Titmuss A, Longmore DK, Barzi F, Barr ELM, Webster V, Wood A, Simmonds A, Brown ADH, Connors C, Boyle JA, Oats J, McIntyre HD, Shaw JE, Craig ME, Maple‐Brown LJ. Association between hyperglycaemia in pregnancy and growth of offspring in early childhood: The PANDORA study. Pediatr Obes 2022; 17:e12932. [PMID: 35644889 PMCID: PMC9539556 DOI: 10.1111/ijpo.12932] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 05/09/2022] [Indexed: 12/04/2022]
Abstract
BACKGROUND Few studies have assessed whether children exposed to in utero hyperglycaemia experience different growth trajectories compared to unexposed children. OBJECTIVES To assess association of type 2 diabetes (T2D) and gestational diabetes mellitus (GDM) with early childhood weight, length/height and body mass index (BMI) trajectories, and with timing and magnitude of peak BMI in infancy. METHODS PANDORA is a birth cohort recruited from an Australian hyperglycaemia in pregnancy register, and women with normoglycaemia recruited from the community. Offspring growth measures were obtained from health records over a median follow-up of 3.0 years (interquartile range 1.9-4.0). This analysis included children born to Aboriginal mothers with in utero normoglycaemia (n = 95), GDM (n = 228) or T2D (n = 131). Growth trajectories (weight, length/height and BMI) were estimated using linear mixed models with cubic spline functions of child age. RESULTS After adjustment for maternal factors (age, BMI, parity, smoking, and socioeconomic measures) and child factors (age, gestational age at birth, and sex), children born to mothers with T2D or GDM had lower weight, length/height and BMI trajectories in infancy than children born to mothers with normoglycaemia, but similar weight and BMI by completion of follow-up. Children exposed to T2D had lower mean peak BMI 17.6 kg/m2 (95% confidence interval [CI] 17.3-18.0) than children exposed to normoglycaemia (18.6 kg/m2 [18.1-18.9]) (p = 0.001). CONCLUSIONS Maternal hyperglycaemia was associated with differences in early childhood growth trajectories after adjustment for maternal BMI. Exploration of associations between in utero hyperglycaemia exposure and growth trajectories into later childhood is required.
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Affiliation(s)
- Angela Titmuss
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Department of Paediatrics, Division of Women, Children and YouthRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - Danielle K. Longmore
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Federica Barzi
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Poche Centre for Indigenous HealthUniversity of QueenslandBrisbaneQueenslandAustralia
| | - Elizabeth L. M. Barr
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Clinical and Population HealthBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Vanya Webster
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Anna Wood
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Endocrinology Department, Division of MedicineRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - Alison Simmonds
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Alex D. H. Brown
- Wardliparingga Aboriginal Research UnitSouth Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia,Faculty of Health and Medical ScienceUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Christine Connors
- Top End Health ServiceNorthern Territory Department of HealthDarwinNorthern TerritoryAustralia
| | - Jacqueline A. Boyle
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Monash Centre for Health Research and ImplementationSchool of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Jeremy Oats
- Melbourne School of Population and Global HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - H. David McIntyre
- Faculty of MedicineMater Medical Research Institute, University of QueenslandBrisbaneQueenslandAustralia
| | - Jonathan E. Shaw
- Clinical and Population HealthBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Maria E. Craig
- School of Women and Children's HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Louise J. Maple‐Brown
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Endocrinology Department, Division of MedicineRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
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Potential Determinants of Cardio-Metabolic Risk among Aboriginal and Torres Strait Islander Children and Adolescents: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159180. [PMID: 35954531 PMCID: PMC9368168 DOI: 10.3390/ijerph19159180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 07/23/2022] [Accepted: 07/25/2022] [Indexed: 11/30/2022]
Abstract
Prevention initiatives during childhood and adolescence have great potential to address the health inequities experienced by Aboriginal and Torres Strait Islander (Indigenous) populations in Australia by targeting modifiable risk factors for cardio-metabolic diseases. We aimed to synthesize existing evidence about potential determinants of cardio-metabolic risk markers—obesity, elevated blood pressure, elevated blood glucose, abnormal lipids, or a clustering of these factors known as the metabolic syndrome (MetS)—for Indigenous children and adolescents. We systematically searched six databases for journal articles and three websites for relevant grey literature. Included articles (n = 47) reported associations between exposures (or interventions) and one or more of the risk markers among Indigenous participants aged 0–24 years. Data from 18 distinct studies about 41 exposure–outcome associations were synthesized (by outcome: obesity [n = 18]; blood pressure [n = 9]; glucose, insulin or diabetes [n = 4]; lipids [n = 5]; and MetS [n = 5]). Obesity was associated with each of the other cardio-metabolic risk markers. Larger birth size and higher area-level socioeconomic status were associated with obesity; the latter is opposite to what is observed in the non-Indigenous population. There were major gaps in the evidence for other risk markers, as well as by age group, geography, and exposure type. Screening for risk markers among those with obesity and culturally appropriate obesity prevention initiatives could reduce the burden of cardio-metabolic disease.
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9
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Longmore DK, Titmuss A, Barr E, Barzi F, Simmonds A, Lee IL, Hawthorne E, Derkenne R, Connors C, Boyle J, Zimmet P, O'Dea K, Oats J, McIntyre HD, Brown A, Shaw J, Maple-Brown LJ. Breastfeeding and infant growth in offspring of mothers with hyperglycaemia in pregnancy: The pregnancy and neonatal diabetes outcomes in remote Australia study. Pediatr Obes 2022; 17:e12891. [PMID: 35187835 DOI: 10.1111/ijpo.12891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/30/2021] [Accepted: 12/13/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND Benefits of breastfeeding on infant growth in children born to mothers with gestational diabetes mellitus (GDM) are uncertain. OBJECTIVES To describe growth trajectories between birth and 14 months according to breastfeeding and maternal hyperglycaemia in pregnancy, and assess associations between breastfeeding and 14 month growth outcomes among children born to mothers with GDM. SUBJECTS/METHODS Data on 258 Aboriginal and Torres Strait Islander infants from the PANDORA study born to mothers with normoglycaemia (n = 73), GDM (n = 122), or with pre-existing type 2 diabetes (n = 63) in pregnancy were assessed. Infant weight and BMI growth trajectories according to predominant breastfeeding at 6 months and hyperglycaemia in pregnancy were developed using mixed-effect models and cubic splines. Associations between breastfeeding and 14-month growth outcomes (z-scores: weight-for-age, weight-for-length and BMI) were evaluated using linear regression in a subgroup of infants born to mothers with GDM. RESULTS Predominantly breastfed infants had lower BMI trajectories compared to those not predominantly breastfed, irrespective of maternal hyperglycaemia in pregnancy status (p < 0.01 for all groups), and lower weight trajectories among those born to mothers with GDM (p = 0.006). Among offspring of women with GDM, predominant breastfeeding was only associated with lower weight-for-age at 14 months, however adjusting for maternal obesity, smoking, and parity attenuated observed associations. Maternal obesity remained significantly associated with greater infant growth. CONCLUSIONS Predominant breastfeeding was associated with reduced growth among children born to women with and without hyperglycaemia in pregnancy. However, among children exposed to GDM in utero, maternal obesity largely explained this association.
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Affiliation(s)
- Danielle K Longmore
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Department of Paediatrics, Royal Children's Hospital, Melbourne, Victoria, Australia.,Department of Paediatrics, Western Health, St Albans, Victoria, Australia
| | - Angela Titmuss
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Department of Paediatrics, Royal Darwin Hospital, Tiwi, Northern Territory, Australia
| | - Elizabeth Barr
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Federica Barzi
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Alison Simmonds
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - I-Lynn Lee
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Eyvette Hawthorne
- Midwifery Group Practice, Top End Health Service, Darwin, Northern Territory, Australia
| | - Ruth Derkenne
- Darwin Region and Strategic Primary Health Care, Top End Health Service, Northern Territory Department of Health, Darwin, Northern Territory, Australia
| | - Christine Connors
- Darwin Region and Strategic Primary Health Care, Top End Health Service, Northern Territory Department of Health, Darwin, Northern Territory, Australia
| | - Jacqueline Boyle
- Monash Centre for Health Research and Implementation, School of Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - Paul Zimmet
- Department of Diabetes, Monash University, Melbourne, Victoria, Australia
| | - Kerin O'Dea
- School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Jeremy Oats
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Harold D McIntyre
- Mater Research, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Alex Brown
- Aboriginal Health Equity Unit, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,Faculty of Health and Medical Science, University of Adelaide, Adelaide, South Australia, Australia
| | - Jonathan Shaw
- Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Louise J Maple-Brown
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Department of Endocrinology, Division of Medicine, Royal Darwin Hospital, Darwin, Northern Territory, Australia
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10
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Wong J, Ross GP, Zoungas S, Craig ME, Davis EA, Donaghue KC, Maple-Brown LJ, McGill MJ, Shaw JE, Speight J, Wischer N, Stranks S. Management of type 2 diabetes in young adults aged 18-30 years: ADS/ADEA/APEG consensus statement. Med J Aust 2022; 216:422-429. [PMID: 35430745 DOI: 10.5694/mja2.51482] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 02/05/2021] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Type 2 diabetes in young adults (nominally, 18-30 years of age) is a more aggressive condition than that seen in older age, with a greater risk of major morbidity and early mortality. This first Australian consensus statement on the management of type 2 diabetes in young adults considers areas where existing type 2 diabetes guidance, directed mainly towards older adults, may not be appropriate or relevant for the young adult population. Where applicable, recommendations are harmonised with current national guidance for type 2 diabetes in children and adolescents (aged < 18 years). The full statement is available at https://www.diabetessociety.com.au, https://www.adea.com.au and https://www.apeg.org.au. MAIN RECOMMENDATIONS Advice is provided on important aspects of care including screening, diabetes type, psychological care, lifestyle, glycaemic targets, pharmacological agents, cardiovascular disease risk management, comorbidity assessment, contraception and pregnancy planning, and patient-centred education. Special considerations for Aboriginal and Torres Strait Islander Australians are highlighted separately. CHANGES IN MANAGEMENT AS A RESULT OF THIS STATEMENT Management recommendations for young adults, which differ from those for adults, include: ▪screening for diabetes in young adults with overweight or obesity and additional risk factors, including in utero exposure to type 2 diabetes or gestational diabetes mellitus; ▪more stringent glucose targets (glycated haemoglobin ≤ 6.5% [≤ 48 mmol/mol]); ▪in the context of obesity or higher cardio-renal risk, glucagon-like peptide 1 receptor agonists and sodium-glucose cotransporter 2 inhibitors are preferred second line agents; ▪β-cell decline is more rapid, so frequent review, early treatment intensification and avoidance of therapeutic inertia are indicated; ▪a blood pressure target of < 130/80 mmHg, as the adult target of ≤ 140/90 mmHg is too high; ▪absolute cardiovascular disease risk calculators are not likely to be accurate in this age group; early statin use should therefore be considered; and ▪a multidisciplinary model of care including an endocrinologist and a certified diabetes educator.
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Affiliation(s)
- Jencia Wong
- Sydney Medical School and Charles Perkins Centre, University of Sydney, Sydney, NSW.,Diabetes Centre, Royal Prince Alfred Hospital, Sydney, NSW
| | - Glynis P Ross
- Diabetes Centre, Royal Prince Alfred Hospital, Sydney, NSW.,University of Sydney, Sydney, NSW
| | | | - Maria E Craig
- University of Sydney, Sydney, NSW.,Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, NSW.,UNSW Sydney, Sydney, NSW
| | - Elizabeth A Davis
- Perth Children's Hospital, Perth, WA.,Telethon Kids Institute, Perth, WA
| | - Kim C Donaghue
- University of Sydney, Sydney, NSW.,Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, NSW
| | - Louise J Maple-Brown
- Menzies School of Health Research, Charles Darwin University, Darwin, NT.,Royal Darwin Hospital, Darwin, NT
| | - Margaret J McGill
- Diabetes Centre, Royal Prince Alfred Hospital, Sydney, NSW.,University of Sydney, Sydney, NSW
| | | | - Jane Speight
- Deakin University, Geelong, VIC.,Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC
| | - Natalie Wischer
- National Association of Diabetes Centres, Sydney, NSW.,Monash University, Melbourne, VIC
| | - Stephen Stranks
- Flinders University, Adelaide, SA.,Southern Adelaide Diabetes and Endocrine Services, Flinders Medical Centre, Adelaide, SA
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11
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Hyperglycemia in pregnancy and developmental outcomes in children at 18–60 months of age: the PANDORA Wave 1 study. J Dev Orig Health Dis 2022; 13:695-705. [DOI: 10.1017/s2040174422000101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
This study aimed to explore the association between hyperglycemia in pregnancy (type 2 diabetes (T2D) and gestational diabetes mellitus (GDM)) and child developmental risk in Europid and Aboriginal women.
PANDORA is a longitudinal birth cohort recruited from a hyperglycemia in pregnancy register, and from normoglycemic women in antenatal clinics. The Wave 1 substudy included 308 children who completed developmental and behavioral screening between age 18 and 60 months. Developmental risk was assessed using the Ages and Stages Questionnaire (ASQ) or equivalent modified ASQ for use with Aboriginal children. Emotional and behavioral risk was assessed using the Strengths and Difficulties Questionnaire. Multivariable logistic regression was used to assess the association between developmental scores and explanatory variables, including maternal T2D in pregnancy or GDM.
After adjustment for ethnicity, maternal and child variables, and socioeconomic measures, maternal hyperglycemia was associated with increased developmental “concern” (defined as score ≥1 SD below mean) in the fine motor (T2D odds ratio (OR) 5.30, 95% CI 1.77–15.80; GDM OR 3.96, 95% CI 1.55–10.11) and problem-solving (T2D OR 2.71, 95% CI 1.05–6.98; GDM OR 2.54, 95% CI 1.17–5.54) domains, as well as increased “risk” (score ≥2 SD below mean) in at least one domain (T2D OR 5.33, 95% CI 1.85–15.39; GDM OR 4.86, 95% CI 1.95–12.10). Higher maternal education was associated with reduced concern in the problem-solving domain (OR 0.27, 95% CI 0.11–0.69) after adjustment for maternal hyperglycemia.
Maternal hyperglycemia is associated with increased developmental concern and may be a potential target for intervention so as to optimize developmental trajectories.
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12
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Fritsche L, Hummel J, Wagner R, Löffler D, Hartkopf J, Machann J, Hilberath J, Kantartzis K, Jakubowski P, Pauluschke-Fröhlich J, Brucker S, Hörber S, Häring HU, Roden M, Schürmann A, Solimena M, de Angelis MH, Peter A, Birkenfeld AL, Preissl H, Fritsche A, Heni M. The German Gestational Diabetes Study (PREG), a prospective multicentre cohort study: rationale, methodology and design. BMJ Open 2022; 12:e058268. [PMID: 35168986 PMCID: PMC8852757 DOI: 10.1136/bmjopen-2021-058268] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 01/18/2022] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Even well-treated gestational diabetes mellitus (GDM) might still have impact on long-term health of the mother and her offspring, although this relationship has not yet been conclusively studied. Using in-depth phenotyping of the mother and her offspring, we aim to elucidate the relationship of maternal hyperglycaemia during pregnancy and adequate treatment, and its impact on the long-term health of both mother and child. METHODS The multicentre PREG study, a prospective cohort study, is designed to metabolically and phenotypically characterise women with a 75-g five-point oral glucose tolerance test (OGTT) during, and repeatedly after pregnancy. Outcome measures are maternal glycaemia during OGTTs, birth outcome and the health and growth development of the offspring. The children of the study participants are followed up until adulthood with developmental tests and metabolic and epigenetic phenotyping in the PREG Offspring study. A total of 800 women (600 with GDM, 200 controls) will be recruited. ETHICS AND DISSEMINATION The study protocol has been approved by all local ethics committees. Results will be disseminated via conference presentations and peer-reviewed publications. TRIAL REGISTRATION NUMBER The PREG study and the PREG Offspring study are registered with Clinical Trials (ClinicalTrials.gov identifiers: NCT04270578, NCT04722900).
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Affiliation(s)
- Louise Fritsche
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Julia Hummel
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Robert Wagner
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Dorina Löffler
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Julia Hartkopf
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Jürgen Machann
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Johannes Hilberath
- Department for Pediatric Gastroenterology and Hepatology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Konstantinos Kantartzis
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Peter Jakubowski
- Department of Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | | | - Sara Brucker
- Department of Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Sebastian Hörber
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Hans-Ulrich Häring
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Michael Roden
- German Center for Diabetes Research, Neuherberg, Germany
- Institute for Clinical Diabetology, Deutsches Diabetes-Zentrum Leibniz-Zentrum für Diabetes-Forschung, Düesseldorf, Germany
| | - Annette Schürmann
- German Center for Diabetes Research, Neuherberg, Germany
- Department of Experimental Diabetology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Michele Solimena
- German Center for Diabetes Research, Neuherberg, Germany
- Paul Langerhans Institute Dresden, Dresden University Hospital, Dresden, Germany
| | - Martin Hrabe de Angelis
- German Center for Diabetes Research, Neuherberg, Germany
- Institute of Experimental Genetics, Helmholtz Center Munich (German Research Center for Environmental Health), Neuherberg, Germany
| | - Andreas Peter
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Andreas L Birkenfeld
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Hubert Preissl
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Andreas Fritsche
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Martin Heni
- Institute of Diabetes Research and Metabolic Diseases, Helmholtz Center Munich German Research Center for Environmental Health, Tübingen, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- Department for Diabetology, Endocrinology, and Nephrology, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Faculty of Medicine, Eberhard Karls University Tübingen, Tübingen, Germany
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13
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Wood AJ, Boyle JA, Barr ELM, Barzi F, Hare MJL, Titmuss A, Longmore DK, Death E, Kelaart J, Kirkwood M, Graham S, Connors C, Moore E, O'Dea K, Oats JJN, McIntyre HD, Zimmet PZ, Lu ZX, Brown A, Shaw JE, Maple-Brown LJ. Type 2 diabetes after a pregnancy with gestational diabetes among first nations women in Australia: The PANDORA study. Diabetes Res Clin Pract 2021; 181:109092. [PMID: 34653565 DOI: 10.1016/j.diabres.2021.109092] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/22/2021] [Accepted: 09/29/2021] [Indexed: 11/20/2022]
Abstract
AIMS To determine among First Nations and Europid pregnant women the cumulative incidence and predictors of postpartum type 2 diabetes and prediabetes and describe postpartum cardiovascular disease (CVD) risk profiles. METHODS PANDORA is a prospective longitudinal cohort of women recruited in pregnancy. Ethnic-specific rates of postpartum type 2 diabetes and prediabetes were reported for women with diabetes in pregnancy (DIP), gestational diabetes (GDM) or normoglycaemia in pregnancy over a short follow-up of 2.5 years (n = 325). Pregnancy characteristics and CVD risk profiles according to glycaemic status, and factors associated with postpartum diabetes/prediabetes were examined in First Nations women. RESULTS The cumulative incidence of postpartum type 2 diabetes among women with DIP or GDM were higher for First Nations women (48%, 13/27, women with DIP, 13%, 11/82, GDM), compared to Europid women (nil DIP or GDM p < 0.001). Characteristics associated with type 2 diabetes/prediabetes among First Nations women with GDM/DIP included, older age, multiparity, family history of diabetes, higher glucose values, insulin use and body mass index (BMI). CONCLUSIONS First Nations women experience a high incidence of postpartum type 2 diabetes after GDM/DIP, highlighting the need for culturally responsive policies at an individual and systems level, to prevent diabetes and its complications.
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Affiliation(s)
- Anna J Wood
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Department of Endocrinology, Royal Darwin Hospital, 58 Rocklands Drive, Tiwi, NT 0810, Australia.
| | - Jacqueline A Boyle
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Monash Centre for Health Research and Implementation, Monash University, 43-51 Kanooka Grove, Clayton, Vic 3168, Australia
| | - Elizabeth L M Barr
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Baker Heart and Diabetes Institute, 75 Commercial Road, Vic 3004, Australia
| | - Federica Barzi
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; UQ Poche Centre for Indigenous Health, The University of Queensland, 31 Upland Road, St Lucia, QLD 4067, Australia
| | - Matthew J L Hare
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Department of Endocrinology, Royal Darwin Hospital, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Angela Titmuss
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Department of Paediatrics, Division of Women, Children and Youth, Royal Darwin Hospital, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Danielle K Longmore
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Elizabeth Death
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Joanna Kelaart
- Baker Heart and Diabetes Institute, 75 Commercial Road, Vic 3004, Australia
| | - Marie Kirkwood
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Sian Graham
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia
| | - Christine Connors
- Top End Health Service, Northern Territory Department of Health, P.O. Box 41326, Casuarina, NT 0811, Australia
| | - Elizabeth Moore
- Aboriginal Medical Services Alliance Northern Territory, 43 Mitchell Street, Darwin City, NT 0800, Australia
| | - Kerin O'Dea
- University of South Australia, 101 Currie Street, SA 5001, Australia
| | - Jeremy J N Oats
- Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Carlton, Vic 3053, Australia
| | - Harold D McIntyre
- Mater Research, The University of Queensland, Raymond Terrace, South Brisbane, QLD 4101, Australia
| | - Paul Z Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Wellington Road, Clayton, Vic 3800, Australia
| | - Zhong X Lu
- Monash Health Pathology, Monash Health, Clayton Road, Clayton, Vic 3168, Australia; Department of Medicine, Monash University, Wellington Road, Clayton, Vic 3800, Australia
| | - Alex Brown
- University of Adelaide, SA 5005, Australia; South Australian Health and Medical Research Institute, North Terrace, SA 5000, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, 75 Commercial Road, Vic 3004, Australia
| | - Louise J Maple-Brown
- Menzies School of Health Research, Charles Darwin University, John Mathews Building, Royal Darwin Hospital Campus, 58 Rocklands Drive, Tiwi, NT 0810, Australia; Department of Endocrinology, Royal Darwin Hospital, 58 Rocklands Drive, Tiwi, NT 0810, Australia
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14
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Brown K, Langston-Cox A, Unger HW. A better start to life: Risk factors for, and prevention of, preterm birth in Australian First Nations women - A narrative review. Int J Gynaecol Obstet 2021; 155:260-267. [PMID: 34455588 DOI: 10.1002/ijgo.13907] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 08/05/2021] [Accepted: 08/27/2021] [Indexed: 11/08/2022]
Abstract
The unacceptable discrepancies in health outcomes between First Nations and non-Indigenous Australians begin at birth. Preterm birth (birth before 37 completed weeks of gestation) is a major contributor to adverse short- and long-term health outcomes and mortality. Australian First Nations infants are more commonly born too early. No tangible reductions in preterm births have been made in First Nations communities. Factors contributing to high preterm birth rates in Australian First Nations infants are reviewed and interventions to reduce preterm birth in Australian First Nations women are discussed. More must be done to ensure Australian First Nations infants get a better start to life. This can only be achieved with ongoing and improved research in partnership with Australian First Nations peoples.
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Affiliation(s)
- Kiarna Brown
- Department of Obstetrics and Gynaecology, Royal Darwin Hospital, Darwin, Northern Territory, Australia.,Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Annie Langston-Cox
- Department of Obstetrics and Gynaecology, Royal Darwin Hospital, Darwin, Northern Territory, Australia
| | - Holger W Unger
- Department of Obstetrics and Gynaecology, Royal Darwin Hospital, Darwin, Northern Territory, Australia.,Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
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15
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Borg D, Rae K, Fiveash C, Schagen J, James-McAlpine J, Friedlander F, Thurston C, Oliveri M, Harmey T, Cavanagh E, Edwards C, Fontanarosa D, Perkins T, de Zubicaray G, Moritz K, Kumar S, Clifton V. Queensland Family Cohort: a study protocol. BMJ Open 2021; 11:e044463. [PMID: 34168023 PMCID: PMC8231060 DOI: 10.1136/bmjopen-2020-044463] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION The perinatal-postnatal family environment is associated with childhood outcomes including impacts on physical and mental health and educational attainment. Family longitudinal cohort studies collect in-depth data that can capture the influence of an era on family lifestyle, mental health, chronic disease, education and financial stability to enable identification of gaps in society and provide the evidence for changes in government in policy and practice. METHODS AND ANALYSIS The Queensland Family Cohort (QFC) is a prospective, observational, longitudinal study that will recruit 12 500 pregnant families across the state of Queensland (QLD), Australia and intends to follow-up families and children for three decades. To identify the immediate and future health requirements of the QLD population; pregnant participants and their partners will be enrolled by 24 weeks of gestation and followed up at 24, 28 and 36 weeks of gestation, during delivery, on-ward, 6 weeks postpartum and then every 12 months where questionnaires, biological samples and physical measures will be collected from parents and children. To examine the impact of environmental exposures on families, data related to environmental pollution, household pollution and employment exposures will be linked to pregnancy and health outcomes. Where feasible, data linkage of state and federal government databases will be used to follow the participants long term. Biological samples will be stored long term for future discoveries of biomarkers of health and disease. ETHICS AND DISSEMINATION Ethical approval has been obtained from the Mater Research Ethics (HREC/16/MHS/113). Findings will be reported to (1) QFC participating families; (2) funding bodies, institutes and hospitals supporting the QFC; (3) federal, state and local governments to inform policy; (4) presented at local, national and international conferences and (5) disseminated by peer-review publications.
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Affiliation(s)
- Danielle Borg
- Mother and Baby, Mater Medical Research Institute, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Kym Rae
- Mother and Baby, Mater Medical Research Institute, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Corrine Fiveash
- Gallipoli Medical Research Foundation, Greenslopes, Queensland, Australia
| | - Johanna Schagen
- Mother and Baby, Mater Medical Research Institute, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Janelle James-McAlpine
- Mother and Baby, Mater Medical Research Institute, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Frances Friedlander
- Maternity Unit, Greenslopes Private Hospital, Greenslopes, Queensland, Australia
| | - Claire Thurston
- Mother and Baby, Mater Medical Research Institute, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Maria Oliveri
- Mother and Baby, Mater Medical Research Institute, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Theresa Harmey
- Mother and Baby, Mater Medical Research Institute, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Erika Cavanagh
- School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
- Centre for Maternal Fetal Medicine, Mater Hospital Brisbane, Brisbane, Queensland, Australia
- Institute of Health & Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Christopher Edwards
- School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
- Institute of Health & Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Davide Fontanarosa
- School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
- Institute of Health & Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Tony Perkins
- School of Medical Science, Griffith University - Gold Coast Campus, Southport, Queensland, Australia
| | - Greig de Zubicaray
- School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
- Institute of Health & Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Karen Moritz
- Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia
- The University of Queensland Child Health Research Centre, South Brisbane, Queensland, Australia
| | - Sailesh Kumar
- Mother and Baby, Mater Medical Research Institute, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Vicki Clifton
- Mother and Baby, Mater Medical Research Institute, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia
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16
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Herath MP, Beckett JM, Hills AP, Byrne NM, Ahuja KDK. Gestational Diabetes Mellitus and Infant Adiposity at Birth: A Systematic Review and Meta-Analysis of Therapeutic Interventions. J Clin Med 2021; 10:jcm10040835. [PMID: 33670645 PMCID: PMC7922793 DOI: 10.3390/jcm10040835] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/03/2021] [Accepted: 02/16/2021] [Indexed: 12/16/2022] Open
Abstract
Exposure to untreated gestational diabetes mellitus (GDM) in utero increases the risk of obesity and type 2 diabetes in adulthood, and increased adiposity in GDM-exposed infants is suggested as a plausible mediator of this increased risk of later-life metabolic disorders. Evidence is equivocal regarding the impact of good glycaemic control in GDM mothers on infant adiposity at birth. We systematically reviewed studies reporting fat mass (FM), percent fat mass (%FM) and skinfold thicknesses (SFT) at birth in infants of mothers with GDM controlled with therapeutic interventions (IGDMtr). While treating GDM lowered FM in newborns compared to no treatment, there was no difference in FM and SFT according to the type of treatment (insulin, metformin, glyburide). IGDMtr had higher overall adiposity (mean difference, 95% confidence interval) measured with FM (68.46 g, 29.91 to 107.01) and %FM (1.98%, 0.54 to 3.42) but similar subcutaneous adiposity measured with SFT, compared to infants exposed to normal glucose tolerance (INGT). This suggests that IGDMtr may be characterised by excess fat accrual in internal adipose tissue. Given that intra-abdominal adiposity is a major risk factor for metabolic disorders, future studies should distinguish adipose tissue distribution of IGDMtr and INGT.
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17
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Laurie JG, McIntyre HD. A Review of the Current Status of Gestational Diabetes Mellitus in Australia-The Clinical Impact of Changing Population Demographics and Diagnostic Criteria on Prevalence. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E9387. [PMID: 33333879 PMCID: PMC7765268 DOI: 10.3390/ijerph17249387] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 12/08/2020] [Accepted: 12/10/2020] [Indexed: 12/12/2022]
Abstract
The current status of gestational diabetes mellitus in Australia reveals an almost quadrupling prevalence over the last decade. A narrative review of the current Australian literature reveals unique challenges faced by Australian maternity clinicians when addressing this substantial disease burden in our diverse population. Rising rates of maternal overweight and obesity, increasing maternal age and the diversity of ethnicity are key epidemiological impactors, overlaid by the 2015 changes in screening and diagnostic parameters. Our vast land mass and the remote location of many at risk women requires innovative and novel ideas for pathways to diagnose and effectively manage women with gestational diabetes mellitus. By modifying and modernizing models of care for women with gestational diabetes mellitus, we have the ability to address accessibility, resource management and our acute response to global events such as the COVID 19 pandemic. With continuing research, education and robust discourse, Australia is well placed to meet current and future challenges in the management of gestational diabetes mellitus.
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Affiliation(s)
- Josephine G Laurie
- Department of Obstetric Medicine, Mater Mothers’ Hospital Brisbane, Queensland and Mater Clinical Unit, The University of Queensland, South Brisbane, QLD 4101, Australia
| | - H. David McIntyre
- Department of Obstetric Medicine, Mater Mothers’ Hospital Brisbane, Queensland and Mater Research Institute, The University of Queensland, South Brisbane, QLD 4101, Australia;
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18
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Hare MJL, Barzi F, Boyle JA, Guthridge S, Dyck RF, Barr ELM, Singh G, Falhammar H, Webster V, Shaw JE, Maple-Brown LJ. Diabetes during pregnancy and birthweight trends among Aboriginal and non-Aboriginal people in the Northern Territory of Australia over 30 years. LANCET REGIONAL HEALTH-WESTERN PACIFIC 2020; 1:100005. [PMID: 34327339 PMCID: PMC8315488 DOI: 10.1016/j.lanwpc.2020.100005] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 06/15/2020] [Accepted: 06/29/2020] [Indexed: 10/27/2022]
Abstract
Background Early-life risk factors, including maternal hyperglycaemia and birthweight, are thought to contribute to the high burden of cardiometabolic disease experienced by Indigenous populations. We examined rates of pre-existing diabetes in pregnancy, gestational diabetes mellitus (GDM) and extremes of birthweight over three decades in the Northern Territory (NT) of Australia. Methods We performed a retrospective cohort analysis of the NT Perinatal Data Collection from 1987 to 2016, including all births >20 weeks gestation, stratified by maternal Aboriginal identification. Key outcomes were annual rates of pre-existing diabetes, GDM, small-for-gestational-age, large-for-gestational-age, low birthweight (<2500 g), and high birthweight (>4000 g). Logistic regression was used to assess trends and interactions. Findings 109 349 babies were born to 64 877 mothers, 36% of whom identified as Aboriginal ethnicity. Among Aboriginal women, rates of GDM and pre-existing diabetes, respectively, were 3 · 4% and 0 · 6% in 1987 and rose to 13% and 5 · 7% in 2016 (both trends p<0 · 001). Among non-Aboriginal women, rates of GDM increased from 1 · 9% in 1987 to 11% in 2016 (p<0 · 001), while pre-existing diabetes was uncommon (≤0 · 7% throughout). Rates of small-for-gestational-age decreased, while rates of large-for-gestational-age and high birthweight increased in both groups (all trends p<0 · 001). Multivariable modelling suggests that hyperglycaemia was largely responsible for the growing rate of large-for-gestational-age births among Aboriginal women. Interpretation The burden of hyperglycaemia in pregnancy has grown substantially in the NT over three decades and is impacting birthweight trends. The prevalence of pre-gestational diabetes in Aboriginal women is among the highest in the world. Funding Diabetes Australia Research Program.
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Affiliation(s)
- Matthew J L Hare
- Wellbeing and Chronic Preventable Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Department of Endocrinology, Royal Darwin Hospital, Darwin, Northern Territory, Australia
| | - Federica Barzi
- Wellbeing and Chronic Preventable Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Jacqueline A Boyle
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - Steven Guthridge
- Centre for Child Development and Education, Menzies School of Health Research, Darwin, Northern Territory, Australia
| | - Roland F Dyck
- Department of Medicine, Canadian Centre for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, Canada
| | - Elizabeth L M Barr
- Wellbeing and Chronic Preventable Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Gurmeet Singh
- Child Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia.,Department of Paediatrics, Royal Darwin Hospital, Darwin, Northern Territory, Australia
| | - Henrik Falhammar
- Wellbeing and Chronic Preventable Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Department of Endocrinology, Royal Darwin Hospital, Darwin, Northern Territory, Australia.,Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Department of Endocrinology, Metabolism and Diabetes, Karolinska University Hospital, Stockholm, Sweden
| | - Vanya Webster
- Indigenous Reference Group, Diabetes across the Lifecourse: Northern Australia Partnership, Menzies School of Health Research, Darwin, Northern Territory, Australia
| | - Jonathan E Shaw
- Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Louise J Maple-Brown
- Wellbeing and Chronic Preventable Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.,Department of Endocrinology, Royal Darwin Hospital, Darwin, Northern Territory, Australia
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19
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Lee IL, Barr ELM, Longmore D, Barzi F, Brown ADH, Connors C, Boyle JA, Kirkwood M, Hampton V, Lynch M, Lu ZX, O'Dea K, Oats J, McIntyre HD, Zimmet P, Shaw JE, Maple-Brown LJ. Cord blood metabolic markers are strong mediators of the effect of maternal adiposity on fetal growth in pregnancies across the glucose tolerance spectrum: the PANDORA study. Diabetologia 2020; 63:497-507. [PMID: 31915893 DOI: 10.1007/s00125-019-05079-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 10/23/2019] [Indexed: 01/30/2023]
Abstract
AIMS/HYPOTHESIS We aimed to assess associations between cord blood metabolic markers and fetal overgrowth, and whether cord markers mediated the impact of maternal adiposity on neonatal anthropometric outcomes among children born to Indigenous and Non-Indigenous Australian women with normal glucose tolerance (NGT), gestational diabetes mellitus (GDM) and pregestational type 2 diabetes mellitus. METHODS From the Pregnancy and Neonatal Outcomes in Remote Australia (PANDORA) study, an observational cohort of 1135 mother-baby pairs, venous cord blood was available for 645 singleton babies (49% Indigenous Australian) of women with NGT (n = 129), GDM (n = 419) and type 2 diabetes (n = 97). Cord glucose, triacylglycerol, HDL-cholesterol, C-reactive protein (CRP) and C-peptide were measured. Multivariable logistic and linear regression were used to assess the associations between cord blood metabolic markers and the outcomes of birthweight z score, sum of skinfold thickness (SSF), being large for gestational age (LGA) and percentage of body fat. Pathway analysis assessed whether cord markers mediated the associations between maternal and neonatal adiposity. RESULTS Elevated cord C-peptide was significantly associated with increasing birthweight z score (β 0.57 [95% CI 0.42, 0.71]), SSF (β 0.83 [95% CI 0.41, 1.25]), percentage of body fat (β 1.20 [95% CI 0.69, 1.71]) and risk for LGA [OR 3.14 [95% CI 2.11, 4.68]), after adjusting for age, ethnicity and diabetes type. Cord triacylglycerol was negatively associated with birthweight z score for Indigenous Australian women only. No associations between cord glucose, HDL-cholesterol and CRP >0.3 mg/l (2.9 nmol/l) with neonatal outcomes were observed. C-peptide mediated 18% (95% CI 13, 36) of the association of maternal BMI with LGA and 11% (95% CI 8, 17) of the association with per cent neonatal fat. CONCLUSIONS/INTERPRETATION Cord blood C-peptide is an important mediator of the association between maternal and infant adiposity, across the spectrum of maternal glucose tolerance.
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Affiliation(s)
- I-Lynn Lee
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
| | - Elizabeth L M Barr
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Danielle Longmore
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
| | - Federica Barzi
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
| | - Alex D H Brown
- South Australian Health and Medical Research Institute, Adelaide, SA, Australia
- Faculty of Health and Medical Sciences, the University of Adelaide, Adelaide, SA, Australia
| | | | - Jacqueline A Boyle
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Clayton, VIC, Australia
| | - Marie Kirkwood
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
| | - Vanya Hampton
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia
| | - Michael Lynch
- Pathology Network, Top End Health and Hospital Services, Darwin, NT, Australia
| | - Zhong X Lu
- Monash Pathology, Monash Health, Melbourne, VIC, Australia
- Department of Medicine, Monash University, Melbourne, VIC, Australia
| | - Kerin O'Dea
- School of Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Jeremy Oats
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - H David McIntyre
- Mater Medical Research Institute, University of Queensland, Brisbane, QLD, Australia
| | - Paul Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Louise J Maple-Brown
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, PO Box 41096, Casuarina, NT, 0811, Australia.
- Division of Medicine, Royal Darwin Hospital, Darwin, NT, Australia.
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20
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Cheng E, Longmore DK, Barzi F, Barr ELM, Lee IL, Whitbread C, Boyle JA, Oats J, Connors C, McIntyre HD, Kirkwood M, Dempsey K, Zhang X, Thomas S, Williams D, Zimmet P, Brown ADH, Shaw JE, Maple-Brown LJ. Birth outcomes in women with gestational diabetes managed by lifestyle modification alone: The PANDORA study. Diabetes Res Clin Pract 2019; 157:107876. [PMID: 31586661 DOI: 10.1016/j.diabres.2019.107876] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/08/2019] [Accepted: 10/02/2019] [Indexed: 12/16/2022]
Abstract
AIMS To assess outcomes of women in the Pregnancy and Neonatal Diabetes Outcomes in Remote Australia (PANDORA) cohort with gestational diabetes mellitus (GDM) managed by lifestyle modification compared with women without hyperglycaemia in pregnancy. METHODS Indigenous (n = 97) and Europid (n = 113) women managed by lifestyle modification were compared to women without hyperglycaemia (n = 235). Multivariate linear and logistic regressions assessed whether GDM-lifestyle women had poorer outcomes compared to women without hyperglycaemia. RESULTS Women with GDM-lifestyle had higher body mass index and lower gestational weight gain than women without hyperglycaemia. On univariate analysis, gestational age at delivery was lower and induction rates were higher in women with GDM-lifestyle than without hyperglycaemia. On multivariable regression, GDM-lifestyle was associated with lower gestational age at delivery (by 0.73 weeks), lower birthweight z-score (by 0.26, p = 0.007), lower likelihood of large for gestational age (LGA) [OR (95% CI): 0.55 (0.28, 1.02), p = 0.059], and greater likelihood of labour induction [2.34 (1.49, 3.66), p < 0.001] than women without hyperglycaemia. CONCLUSION Women with GDM managed by lifestyle modification had higher induction rates and their offspring had lower birthweight z-scores, with a trend to lower LGA than those without hyperglycaemia in pregnancy. Further studies are indicated to explore reasons for higher induction rates.
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Affiliation(s)
- E Cheng
- Menzies School of Health Research, NT, Australia; Division of Obstetrics and Gynaecology, Royal Darwin Hospital, NT, Australia; Danila Dilba Health Service, Darwin, NT, Australia.
| | - D K Longmore
- Menzies School of Health Research, NT, Australia.
| | - F Barzi
- Menzies School of Health Research, NT, Australia.
| | - E L M Barr
- Menzies School of Health Research, NT, Australia; Baker Heart and Diabetes Institute, VIC, Australia.
| | - I L Lee
- Menzies School of Health Research, NT, Australia.
| | - C Whitbread
- Menzies School of Health Research, NT, Australia; Division of Medicine, Royal Darwin Hospital, NT, Australia.
| | - J A Boyle
- Menzies School of Health Research, NT, Australia; Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Australia.
| | - J Oats
- Melbourne School of Population and Global Health, University of Melbourne, Australia.
| | - C Connors
- Primary Health Care Branch, Top End Health Service, NT, Australia.
| | - H D McIntyre
- Mater Medical Research Institute, University of Queensland, Australia.
| | - M Kirkwood
- Menzies School of Health Research, NT, Australia.
| | - K Dempsey
- Menzies School of Health Research, NT, Australia.
| | - X Zhang
- Innovation and Research, Department of Health, NT, Australia.
| | - S Thomas
- Division of Obstetrics and Gynaecology, Royal Darwin Hospital, NT, Australia.
| | - D Williams
- Darwin Midwifery Group, NT Health, Australia.
| | - P Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Australia.
| | - A D H Brown
- South Australian Health and Medical Research Institute, Australia; Faculty of Health and Medical Science, University of Adelaide, Australia.
| | - J E Shaw
- Baker Heart and Diabetes Institute, VIC, Australia.
| | - L J Maple-Brown
- Menzies School of Health Research, NT, Australia; Division of Medicine, Royal Darwin Hospital, NT, Australia.
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