Kerin O'Dea’s research while affiliated with University of South Australia and other places

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Publications (411)


Corrigendum to “Type 2 diabetes after a pregnancy with gestational diabetes among first nations women in Australia: The PANDORA study” [Diabetes Res. Clin. Pract. 181 (2021) 109092]
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May 2024

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24 Reads

Diabetes Research and Clinical Practice

Anna J. Wood

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Jacqueline A. Boyle

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[...]

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Louise J. Maple-Brown

Weight trajectories for infants 0–14 months by breastfeeding status and maternal glycaemia. (A) All infants; (B) Maternal GDM only; (C) Maternal GDM and pre‐existing type 2 diabetes
BMI trajectories for infants 0–14 months by breastfeeding status and maternal glycaemia. (A) All infants; (B) Maternal GDM only; (C) Maternal GDM and pre‐existing type 2 diabetes
Multivariate model for growth outcomes at 14 months among infants born to mothers with GDM
Breastfeeding and infant growth in offspring of mothers with hyperglycaemia in pregnancy: The pregnancy and neonatal diabetes outcomes in remote Australia study
  • Article
  • Publisher preview available

February 2022

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36 Reads

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6 Citations

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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Figure 1 legend: White = diabetes, black = prediabetes. Error bars are 95% confidence intervals. 4 Europid women met diagnostic criteria for DIP and data were combined with women with GDM. Abbreviations: DIP, diabetes in pregnancy (diagnosed in pregnancy but meeting the diagnostic glucose/HbA 1c values for type 2 diabetes outside of pregnancy); GDM, gestational diabetes.
Figure 2 title: Number of postpartum cardiovascular risk factors stratified by diabetes status in pregnancy and at postpartum among First Nations women.
Characteristics of Pandora Wave 1 cohort by maternal ethnicity and glycaemic status in pregnancy.
Factors associated with postpartum diabetes/prediabetes among First Nations women with GDM/DIP on unadjusted and age-adjusted logistic regression.
Type 2 diabetes after a pregnancy with gestational diabetes among First Nations women in Australia: the PANDORA study

October 2021

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147 Reads

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14 Citations

Diabetes Research and Clinical Practice

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.


Antioxidant biomarkers and cardio-metabolic risk markers in an Aboriginal community in remote Australia: a cross-sectional study

December 2020

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27 Reads

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1 Citation

Public Health Nutrition

Objective High quality diets, characterized by nutrient-rich foods, are one of the foundations for health and well-being. Indicators of diet quality, antioxidants, are associated with protection against cardio-metabolic diseases. This study explores relationships between plasma antioxidants and cardio-metabolic risk among Aboriginal people in Australia. Design As part of a community-driven health promotion programme, we conducted a cross-sectional study including a health-behaviour questionnaire, plasma antioxidants and cardio-metabolic risk markers (anthropometric-, blood pressure measurements, fasting glucose, glycated haemoglobin, lipids, C-reactive protein and albumin-creatinine-ratio) continuous and categorized into population-specific cut-offs. Antioxidants (β-carotene, β-cryptoxanthin, lycopene, lutein-zeaxanthin, retinol and alpha-tocopherol measured using HPLC) were applied to a principal component analysis, which aggregated these into a single component. Linear regression models were applied to investigate associations between the antioxidant component and cardio-metabolic risk markers. Setting Community in a remote area in Northern Territory, Australia. Participants A total of 324 Aboriginal people, mean age 35.5 [range 15-75] years. Results Antioxidant component levels were higher among those with higher self-reported vegetable intake (p<0.01), higher among those with higher self-reported fruit intake (p=0.05) and lower among current smokers (p=0.06). Linear regression revealed an inverse association between the antioxidant component and C-reactive protein (β= -0.01, p<0.01) after adjusting for confounders. Conclusion Higher plasma antioxidant levels, indicators of diet quality were associated with lower levels of high-sensitivity C-reactive protein in this Aboriginal population in remote Australia. This association suggests plasma antioxidants may be protective against inflammation; however, longitudinal studies are needed to examine this potentially protective relationship.


Multivariable model of breastfeeding outcomes. (a) Exclusive breastfeeding on hospital discharge (n = 984). (b) Predominant breastfeeding at 6 weeks (n = 504). (c) Predominant breastfeeding at 6 months (n = 722). The models include maternal ethnicity, maternal GDM/type 2 diabetes (T2D) status, gestational age at birth, maternal age, and covariates significantly associated with the outcome on univariable analysis
Associations of gestational diabetes and type 2 diabetes during pregnancy with breastfeeding at hospital discharge and up to 6 months: the PANDORA study

December 2020

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81 Reads

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20 Citations

Diabetologia

Aims/hypothesis: Women with gestational diabetes mellitus (GDM) and obesity experience lower rates of breastfeeding. Little is known about breastfeeding among mothers with type 2 diabetes. Australian Indigenous women have a high prevalence of type 2 diabetes in pregnancy. We aimed to evaluate the association of hyperglycaemia, including type 2 diabetes, with breastfeeding outcomes. Methods: Indigenous (n = 495) and non-Indigenous (n = 555) participants of the Pregnancy And Neonatal Diabetes Outcomes in Remote Australia (PANDORA) cohort included women without hyperglycaemia in pregnancy (n = 222), with GDM (n = 684) and with type 2 diabetes (n = 144). The associations of hyperglycaemia in pregnancy and breastfeeding at hospital discharge, 6 weeks and 6 months post-partum were evaluated with logistic regression, after adjustment for maternal obesity, ethnicity, maternal and neonatal characteristics. Results: Indigenous women were more likely to predominantly breastfeed at 6 weeks across all levels of hyperglycaemia. Compared with women with no hyperglycaemia in pregnancy, women with type 2 diabetes had lower odds for exclusive breastfeeding at discharge (adjusted OR for exclusive breastfeeding 0.4 [95% CI 0.2, 0.8] p = 0.006). At 6 weeks and 6 months, the relationship between type 2 diabetes and predominant breastfeeding was not statistically significant (6 weeks 0.7 [0.3, 1.6] p = 0.40, 6 months 0.8 [0.4, 1.6] p = 0.60). Women with gestational diabetes were as likely to achieve predominant breastfeeding at 6 weeks and 6 months as women without hyperglycaemia in pregnancy. Conclusions/interpretation: Indigenous women had high rates of breastfeeding. Women with type 2 diabetes had difficulty establishing exclusive breastfeeding at hospital discharge. Further research is needed to assess the impact on long-term breastfeeding outcomes. Graphical abstract.


Implementation activities to improve care for women during and after a pregnancy complicated by hyperglycaemia
Indicators for the final evaluation of a health systems intervention to improve care during and after a pregnancy complicated by diabetes
Study regions for a health systems intervention to improve care for women during and after a pregnancy complicated by diabetes. Adapted from: ‘Australia map, States.svg’ by Lokal_Profil available at https://commons.wikimedia.org/wiki/File:Australia_map,_States.svg under CC BY-SA 2.5. Full terms at https://creativecommons.org/licenses/by-sa/2.5/deed.en; ‘Australian Northern Territory location map.svg’ by NordNordWest available at https://commons.wikimedia.org/wiki/File:Australia_Northern_Territory_location_map.svg under CC-BY-SA-3.0-DE. Full terms at https://creativecommons.org/licenses/by-sa/3.0/de/deed.en; ‘Qld region map 2.png’ available at https://commons.wikimedia.org/wiki/File:Qld_region_map_2.PNG under CC BY-SA 3.0. Full terms at https://creativecommons.org/licenses/by-sa/3.0/deed.en
Logic model for a health systems intervention to improve care for women during and after a pregnancy complicated by diabetes
Improving systems of care during and after a pregnancy complicated by hyperglycaemia: A protocol for a complex health systems intervention

September 2020

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852 Reads

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10 Citations

BMC Health Services Research

Background: Many women with hyperglycaemia in pregnancy do not receive care during and after pregnancy according to standards recommended in international guidelines. The burden of hyperglycaemia in pregnancy falls disproportionately upon Indigenous peoples worldwide, including Aboriginal and Torres Strait Islander women in Australia. The remote and regional Australian context poses additional barriers to delivering healthcare, including high staff turnover and a socially disadvantaged population with a high prevalence of diabetes. Methods: A complex health systems intervention to improve care for women during and after a pregnancy complicated by hyperglycaemia will be implemented in remote and regional Australia (the Northern Territory and Far North Queensland). The Theoretical Domains Framework was used during formative work with stakeholders to identify intervention components: (1) increasing workforce capacity, skills and knowledge and improving health literacy of health professionals and women; (2) improving access to healthcare through culturally and clinically appropriate pathways; (3) improving information management and communication; (4) enhancing policies and guidelines; (5) embedding use of a clinical register as a quality improvement tool. The intervention will be evaluated utilising the RE-AIM framework at two timepoints: firstly, a qualitative interim evaluation involving interviews with stakeholders (health professionals, champions and project implementers); and subsequently a mixed-methods final evaluation of outcomes and processes: interviews with stakeholders; survey of health professionals; an audit of electronic health records and clinical register; and a review of operational documents. Outcome measures include changes between pre- and post-intervention in: proportion of high risk women receiving recommended glucose screening in early pregnancy; diabetes-related birth outcomes; proportion of women receiving recommended postpartum care including glucose testing; health practitioner confidence in providing care, knowledge and use of relevant guidelines and referral pathways, and perception of care coordination and communication systems; changes to health systems including referral pathways and clinical guidelines. Discussion: This study will provide insights into the impact of health systems changes in improving care for women with hyperglycaemia during and after pregnancy in a challenging setting. It will also provide detailed information on process measures in the implementation of such health system changes.


Multivariable linear regression for the outcomes of birthweight z score (a), SSF (b), LGA (c) and percentage of body fat (d). (a) The model includes significant interaction terms for each of cord C-peptide and triacylglycerol with ethnicity, as well as the main effect of ethnicity. The model includes the following covariates: diabetes type, maternal age (for each additional 5 years), maternal BMI (for each additional 3 kg/m²), smoking in pregnancy, nulliparity, cord glucose, cord triacylglycerol and the interaction with ethnicity, cord C-peptide and the interaction with ethnicity (b) The model includes the following covariates: diabetes type, ethnicity, baby sex, maternal age (for each additional 5 years), nulliparity, maternal BMI (for each additional 3 kg/m²), smoking in pregnancy, gestational age at birth and cord C-peptide. (c) The model includes the following covariates: diabetes type, ethnicity, maternal age (for each additional 5 years), nulliparity, maternal BMI (for each additional 3 kg/m²), smoking in pregnancy, cord glucose, cord triacylglycerol and cord C-peptide. (d) The model includes the following covariates: diabetes type, ethnicity, maternal age (for each additional 5 years), nulliparity, maternal BMI (for each additional 3 kg/m²), gestational age at birth, cord glucose, cord triacylglycerol and cord C-peptide. T2DM, type 2 diabetes
(a) Pathway analysis of loge cord C-peptide on the effect of maternal BMI on LGA. Covariates were: diabetes type, ethnicity, maternal age (for each additional 5 years), nulliparity, maternal BMI (for each additional 3 kg/m²), smoking in pregnancy, cord glucose, cord triacylglycerol and cord C-peptide (the same multivariable model as shown in Fig. 1c). (b) Pathway analysis of loge C-peptide on the effect of maternal BMI on percentage of neonatal fat. Covariates were: diabetes type, ethnicity, maternal age (for each additional 5 years), nulliparity, maternal BMI (for each additional 3 kg/m²), gestational age at birth, cord glucose, cord triacylglycerol and cord C-peptide (the same multivariable model as shown in Fig. 1d)
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

March 2020

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116 Reads

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19 Citations

Diabetologia

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.


Social and economic factors, maternal behaviours in pregnancy and neonatal adiposity in the PANDORA cohort

January 2020

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66 Reads

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5 Citations

Diabetes Research and Clinical Practice

Background: Australian Indigenous women experience high rates of social disadvantage and type 2 diabetes (T2D) in pregnancy, but it is not known how social factors and maternal behaviours impact neonatal adiposity in offspring of women with hyperglycaemia in pregnancy. Methods: Participants were Indigenous (n=404) and Europid (n=240) women with gestational diabetes mellitus (GDM) or T2D in pregnancy and their offspring in the Pregnancy and Neonatal Diabetes Outcomes in Remote Australia (PANDORA) study. Social, economic factors, and maternal behaviours were measured in pregnancy and six neonatal anthropometric outcomes were examined after birth. Results: On univariate analysis, maternal education <12 years (p=0.03), unemployment (p=0.001), welfare income vs no welfare income (p=0.001), lower area based socio-economic score (p<0.001), and fast food intake >2 times/week (p=0.002) were associated with increased sum of skinfolds (SSF) in offspring. Smoking was significantly associated with a reduction in anthropometric measures, except SSF. In multivariable models adjusted for ethnicity, BMI and hyperglycaemia, social and economic factors were no longer significant predictors of neonatal outcomes. Smoking was independently associated with a reduction in length, head circumference and fat free mass. Frequent fast food intake remained independently associated with SSF (β-coefficient 1.08mm, p=0.02). Conclusion: In women with hyperglycaemia in pregnancy, social factors were associated with neonatal adiposity, particularly skinfold measures. Promoting smoking cessation and limited intake of energy-dense, nutrient-poor foods in pregnancy are important to improve neonatal adiposity and lean mass outcomes. Addressing inequities in social and economic factors are likely to be important, particularly for Indigenous women or women experiencing social disadvantage.


Performance of cardiovascular risk prediction equations in Indigenous Australians

January 2020

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122 Reads

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4 Citations

Heart (British Cardiac Society)

Objective To assess the performance of cardiovascular disease (CVD) risk equations in Indigenous Australians. Methods We conducted an individual participant meta-analysis using longitudinal data of 3618 Indigenous Australians (55% women) aged 30–74 years without CVD from population-based cohorts of the Cardiovascular Risk in IndigenouS People(CRISP) consortium. Predicted risk was calculated using: 1991 and 2008 Framingham Heart Study (FHS), the Pooled Cohorts (PC), GloboRisk and the Central Australian Rural Practitioners Association (CARPA) modification of the FHS equation. Calibration, discrimination and diagnostic accuracy were evaluated. Risks were calculated with and without the use of clinical criteria to identify high-risk individuals. Results When applied without clinical criteria, all equations, except the CARPA-adjusted FHS, underestimated CVD risk (range of percentage difference between observed and predicted CVD risks: −55% to −14%), with underestimation greater in women (−63% to −13%) than men (−47% to −18%) and in younger age groups. Discrimination ranged from 0.66 to 0.72. The CARPA-adjusted FHS equation showed good calibration but overestimated risk in younger people, those without diabetes and those not at high clinical risk. When clinical criteria were used with risk equations, the CARPA-adjusted FHS algorithm scored 64% of those who had CVD events as high risk; corresponding figures for the 1991-FHS were 58% and were 87% for the PC equation for non-Hispanic whites. However, specificity fell. Conclusion The CARPA-adjusted FHS CVD risk equation and clinical criteria performed the best, achieving higher combined sensitivity and specificity than other equations. However, future research should investigate whether modifications to this algorithm combination might lead to improved risk prediction.


Chronic condition risk factor change over time in a remote Indigenous community

January 2020

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87 Reads

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4 Citations

Rural and Remote Health

Introduction: This study sought to determine change in chronic condition risk factors in a remote Indigenous community following a 3-year period of community-led health promotion initiatives. Methods: Data were compared between two cross-sectional surveys of Indigenous Australian community residents before and after health promotion activities, and longitudinal analysis of participants present at both surveys using multilevel mixed-effects regression. Results: At baseline, 294 (53% women; mean age 35 years) participated and 218 attended the second survey (56% women, mean age 40 years), and 87 attended both. Body composition, blood pressure and urinary albumin-to-creatinine ratio remained stable between baseline and follow-up. After adjusting for age and sex, haemoglobin A1c significantly increased (from 57 to 63 mmol/mol (7.5% to 8.1%), p=0.021) for those with diabetes. Increases were also observed for total cholesterol (from 4.4 to 4.6 mmol/L, p=0.006) and triglycerides (from 1.5 to 1.6 mmol/L, p=0.019), and high-density lipoprotein cholesterol levels improved (from 0.98 to 1.02 mmol/L, p=0.018). Self-reported smoking prevalence was high but stable between baseline (57%) and follow-up (56%). Similar results were observed in the longitudinal analysis to the cross-sectional survey comparison. Conclusion: Community-led health promotion initiatives may have had some benefits on chronic condition risk factors, including stabilisation of body composition, in this remote Indigenous community. Given that less favourable trends were observed for diabetes and total cholesterol over a short time period and smoking prevalence remained high, policy initiatives that address social and economic disadvantage are needed alongside community-led health promotion initiatives.


Citations (84)


... At 14 months, a significant association between weight-for-age and mostly BF was observed in infants of women with GDM. However, statistical significance was not confirmed after adjusting for maternal characteristics, including BMI, suggesting that this variable may critically contribute to attenuating the influence of BF on infant growth outcomes [83]. ...

Reference:

Is Breastfeeding an Effective Approach to Reduce Metabolic Risk After GDM in Mothers and Infants?
Breastfeeding and infant growth in offspring of mothers with hyperglycaemia in pregnancy: The pregnancy and neonatal diabetes outcomes in remote Australia study

... This study found that the likelihood of GDM-pregnant women using insulin during pregnancy of developing glucose intolerance within one year postpartum is 2.41 times that of GDM-pregnant women who did not use insulin. This is consistent with the results of a previous prospective cohort study by Wood et al. [42], which found that the incidence of abnormal glucose metabolism postpartum in GDM-pregnant women using insulin during pregnancy is 3.98 times that of those not using insulin. The need for insulin to control blood sugar levels during pregnancy indicates that these GDM patients have severe pancreatic dysfunction, with damaged pancreatic beta cells, a sharp decrease in insulin secretion, leading to further increases in blood glucose levels, forming a vicious cycle. ...

Type 2 diabetes after a pregnancy with gestational diabetes among First Nations women in Australia: the PANDORA study

Diabetes Research and Clinical Practice

... The mean of plasma lycopene, lutein and zeaxanthin concentrations were similar to those reported in the NHANES but lower than in the NDNS, where lycopene, lutein and zeaxanthin were the leading contributors to plasma total carotenoids concentrations (179), (178). Consistent with previous studies reporting smoking as a major determinant of carotenoids concentrations, this study showed that current smokers had lower plasma total carotenoids concentration than participants who had never smoked (181), (166). Cigarette contains free radicals, which induce oxidative stress leading to increase utilisation of anti-oxidants such as carotenoids. ...

Antioxidant biomarkers and cardio-metabolic risk markers in an Aboriginal community in remote Australia: a cross-sectional study
  • Citing Article
  • December 2020

Public Health Nutrition

... We found that having diabetes during pregnancy impacted participants' confidence to breastfeed more than their intention to do so. Our qualitative results aligned with a quantitative study that pregnant persons with T2DM in Australia are less likely to exclusively breastfeed compared to those without hyperglycemia during pregnancy [33]. Another study on persons with T1DM in Sweden found that those with diabetes may be more sensitive to disruptions due to their need for a structured routine in managing the condition, especially during breastfeeding [34]. ...

Associations of gestational diabetes and type 2 diabetes during pregnancy with breastfeeding at hospital discharge and up to 6 months: the PANDORA study

Diabetologia

... Between 2016 and 2019, the Partnership implemented a multi-component health systems intervention to improve care during and after a pregnancy complicated by hyperglycaemia in the NT and FNQ (Fig. 1). Implementation methods for this intervention have been reported in detail previously, 28 and are included in Supplementary Material Section S1. Study activities were implemented across primary, secondary and tertiary health service levels in three study regions (Central Australia and Top End in the NT, and FNQ), and addressed five components: 1) increasing workforce capacity, skills and knowledge, and improving the health literacy of women; 2) improving access to healthcare through culturally and clinically appropriate pathways; 3) improving information management and communication; 4) enhancing policies and guidelines; and 5) embedding a clinical register for women with hyperglycaemia in pregnancy within models of care. ...

Improving systems of care during and after a pregnancy complicated by hyperglycaemia: A protocol for a complex health systems intervention

BMC Health Services Research

... Therefore, support for preventive health policies and government intervention could be partly dependent on individuals' expressed worldviews and ideological beliefs about who is responsible for people's health [16]. However, most national studies of Australians' perceptions relevant to the prevention of NCDs have focused specifically on measuring the prevalence of support for obesity prevention [17,18] and sugary drink regulation [19]. The Australian Perceptions Of Prevention Survey (AUSPOPS) is one of the few Australian national-level data collection projects which monitors general attitudes to government intervention for the prevention of NCDs [20]. ...

Qualitative insights into Australian consumers’ views for and against government action on sugary drinks

Public Health Research & Practice

... In addition to challenges for maternal health during pregnancy for women with T2DM, mothers with T2DM commonly experienced difficulty with milk supply, delayed lactation [10], and have worries about hypoglycemia episodes while breastfeeding [11]. Mothers with T2DM are less likely to establish exclusive breastfeeding at hospital discharge compared to women without T2DM [12]. Evidence showed that infants born to mothers with diabetes experienced complications, such as hypoglycemia and respiratory disorders, which often required neonatal intensive care unit admission [13]; this mother-infant separation decreases the chances of establishing breastfeeding. ...

Social and economic factors, maternal behaviours in pregnancy and neonatal adiposity in the PANDORA cohort
  • Citing Article
  • January 2020

Diabetes Research and Clinical Practice

... The ARS tool does not allow for recalibration. 28 For recalibration of the Globorisk tool, the age-and sex-specific mean risk factor levels in the tool (see Supplementary material online, Table S3) were substituted with those derived from the Rishi Valley Prospective Cohort Study (see Supplementary material online, Table S4). However, age-and sex-specific event rates in this cohort had limited sample size, so incidence rates from the original tool were retained (see Supplementary material online, Table S5). ...

Performance of cardiovascular risk prediction equations in Indigenous Australians
  • Citing Article
  • January 2020

Heart (British Cardiac Society)

... These findings reflect national trends, with increases in BMI reported nationally in Australia: the prevalence of overweight and obesity among adults in Australia increased from 57% in 1995 to 67% in 2017-18 (AIHW 2020b). In addition, although the prevalence rate of chronic kidney disease (CKD) has remained stable over time, the number of Australians with moderate to severe CKD almost doubled between 1999-2000 (Strate et al. 2020). Diabetes education has been cited to improve outcomes as well as reduce mortality for people with type 2 diabetes (Lowe et al. 2009). ...

Chronic condition risk factor change over time in a remote Indigenous community

Rural and Remote Health

... Maternal obesity, with or without GDM, is associated with hyperinsulinemia and excess adiposity in the offspring (96,97). It is unclear if the predominant driver of this is maternal hyperglycemia, and consequently fetal hyperglycemia during gestation, excess lipid transfer to the fetus, or both. ...

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