Diet, Physical Activity, and Obesity in School-Aged Indigenous Youths in Northern Australia

Purpose. To examine the relationship between diet, physical activity, and obesity in Indigenous youths from northern Australia. Methods. In a cross-sectional study, physical activity and dietary intake (“short nutrition questionnaire”) were assessed among all youths during a face-to-face interview. For 92 high school youths, additional dietary information was assessed using a food-frequency questionnaire. Height and weight were measured and BMI was calculated. Multiple logistic regression was used to assess associations. Results. Of the 277 youths included, 52% had ≤2 servings of fruit and 84% had <4 servings of vegetables per day; 65% ate fish and 27%, take-away food (“fast food”) at least twice a week. One in four ate local traditional sea food including turtle and dugong (a local sea mammal) at least twice a week. Overweight/obese youths engaged in fewer days of physical activity in the previous week than normal weight youths (OR = 2.52, 95% CI 1.43–4.40), though patterns of physical activity differed by sex and age (P < 0.001). Overweight/obese youths were 1.89 times (95% CI 1.07–3.35) more likely to eat dugong regularly than nonobese youths. Analysis of food-frequency data showed no difference by weight assessment among high-school students. Conclusions. Low fruit and vegetable intake were identified in these Indigenous youths. Regular consumption of fried dugong and low frequency of physical activity were associated with overweight/obesity reinforcing the need to devise culturally appropriate health promotion strategies and interventions for Indigenous youths aimed at improving their diet and increasing their physical activity

Bilirubin concentration is positively associated with haemoglobin concentration and inversely associated with albumin to creatinine ratio among Indigenous Australians: eGFR Study

This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This author accepted manuscript is made available following 12 month embargo from date of publication (August 2017) in accordance with the publisher’s archiving policyLow serum bilirubin concentrations are reported to be strongly associated with cardio-metabolic disease, but this relationship has not been reported among Indigenous Australian people who are known to be at high risk for diabetes and chronic kidney disease (CKD). Hypothesis: serum bilirubin will be negatively associated with markers of chronic disease, including CKD and anaemia among Indigenous Australians. Method: A cross-sectional analysis of 594 adult Aboriginal and Torres Strait Islander (TSI) people in good health or with diabetes and markers of CKD. Measures included urine albumin: creatinine ratio (ACR), estimated glomerular filtration rate (eGFR), haemoglobin (Hb) and glycated haemoglobin (HbA1c). Diabetes was defined by medical history, medications or HbA1c ≥ 6.5% or ≥ 48 mmol/mol. Anaemia was defined as Hb < 130 g/L or < 120 g/L in males and females respectively. A multivariate regression analysis examining factors independently associated with log-bilirubin was performed. Results: Participants mean (SD) age was 45.1 (14.5) years, and included 62.5% females, 71.7% Aboriginal, 41.1% with diabetes, 16.7% with anaemia, 41% with ACR > 3 mg/mmol and 18.2% with eGFR < 60 mL/min/1.73m2. Median bilirubin concentration was lower in females than males (6 v 8 μmol/L, p < 0.001) and in Aboriginal than TSI participants (6 v 9.5 μmol/L, p < 0.001). Six factors explained 35% of the variance of log-bilirubin; Hb and cholesterol (both positively related) and ACR, triglycerides, Aboriginal ethnicity and female gender (all inversely related). Conclusion: Serum bilirubin concentrations were positively associated with Hb and total cholesterol, and inversely associated with ACR. Further research to determine reasons explaining lower bilirubin concentrations among Aboriginal compared with TSI participants are needed

Study Protocol - Accurate assessment of kidney function in Indigenous Australians: aims and methods of the eGFR Study

Background: There is an overwhelming burden of cardiovascular disease, type 2 diabetes and chronic kidney disease among Indigenous Australians. In this high risk population, it is vital that we are able to measure accurately kidney function. Glomerular filtration rate is the best overall marker of kidney function. However, differences in body build and body composition between Indigenous and non-Indigenous Australians suggest that creatinine-based estimates of glomerular filtration rate derived for European populations may not be appropriate for Indigenous Australians. The burden of kidney disease is borne disproportionately by Indigenous Australians in central and northern Australia, and there is significant heterogeneity in body build and composition within and amongst these groups. This heterogeneity might differentially affect the accuracy of estimation of glomerular filtration rate between different Indigenous groups. By assessing kidney function in Indigenous Australians from Northern Queensland, Northern Territory and Western Australia, we aim to determine a validated and practical measure of glomerular filtration rate suitable for use in all Indigenous Australians

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Indigenous health: diabetes in pregnancy

[Extract] Characteristically, the Indigenous population has a younger age of onset of diabetes and the disease is more common in females and, therefore, affects women of childbearing age. The increasing prevalence of diabetes in Aboriginal and Torres Strait Islander (ATSI)people is linked not only to genetic predisposition, but also to a rapid change from a hunter-gatherer lifestyle to unhealthy eating patterns, sedentary lifestyles, smoking, alcohol abuse with its associated adjustment disorder, poor social support, disruption in family structure and socio-economic disadvantage. Most of the communities in the Cape York, Torres Strait Islands and Northern Peninsula area are socially disadvantaged according to the Socio-Economic Disadvantage in Socio-Economic Indexes for Areas

Maternal and neonatal outcomes in the Torres Strait Islands with a sixfold increase in type 2 diabetes in pregnancy over six years

Background: Torres Strait Islander population has a high prevalence of type 2 diabetes (T2DM).\ud \ud Aims: To review pregnancy data of women and their newborns living in the Torres Strait area.\ud \ud Methods: All medical charts of mothers and their neonates delivered in two one-year periods (1999 and 2005/2006) were reviewed. The initial screening test for diabetes in pregnancy (DIP) was a random blood glucose level followed by an oral glucose challenge test in 1999 and from 2000 an oral glucose tolerance test.\ud \ud Results: Diabetes in pregnancy increased by 4.3–13.3% and T2DM by 0.8–4.6%. During the two periods, 258 and 196 mothers delivered respectively 84–92% by midwives/general practitioners at the local hospital and 7–16% by midwives/obstetricians at the regional hospital; in 2005/2006, 58% of women with DIP delivered at the regional hospital. Screening increased from 89.2 to 99.5%. DIP mothers were older and heavier with more hypertension and previous miscarriages. Parity decreased in the DIP mother during the two periods. Caesarean section was five times more common for DIP in 2005/2006 versus non-DIP, while in 1999, there was no difference. In 1999, the DIP infants were heavier, longer (P = 0.053) and had a larger head circumference not seen 2005/2006. There was more neonatal trauma, hypoglycaemia and IV dextrose in the DIP infants. Breastfeeding numbers increased in DIP. In 2005/2006, follow-up of gestational diabetes occurred in 47% (all normal).\ud \ud Conclusion: A massive increase in DIP was seen. The neonatal outcomes improved slightly. There is need for improvement in follow-up of gestational diabetes

Maternal and neonatal outcomes following diabetes in pregnancy in Far North Queensland, Australia

Background: Diabetes in pregnancy (DIP) is increasing and is associated with a number of adverse consequences for both the mother and the child.\ud \ud Aims: To compare local maternal and neonatal outcomes with state and national data.\ud \ud Methods: Chart audit of all DIP delivered during 2004 at a regional teaching hospital and compare outcomes with national benchmark, Queensland and national Indigenous data.\ud \ud Results: The local DIP frequency was 6.7%. The local compared to benchmark and state data demonstrated a higher frequency of Indigenous mothers (43.6% vs 6.8% vs 5.5%), caesarean sections (50.7% vs 26% vs 32.0%), hypoglycaemia (40.7% vs 19.5% vs 2.7%) and respiratory distress (16.6% vs 4.5% vs 2.3%) in infants, fewer normal birthweights (64.8% vs 82.6% vs 80.4%) and full-term deliveries. More local mothers compared to benchmark had type 2 diabetes mellitus (T2DM) (15.4% vs 8.7%) but fewer used insulin (31.0% vs 46.6%); compared to state data, fewer women had gestational diabetes (79.5% vs 91.2%), however, insulin use was higher (22.8%). Furthermore, Aborigines had fewer pregnancies compared to Torres Strait Islanders (3.0 vs 5.0) and less insulin use (21.9% vs 59.3%) (P = 0.008–0.024). In contrast, non-Indigenous versus Indigenous women showed fewer pregnancies, less T2DM (7.8% vs 23.7%), better glycaemic control, longer babies, more full-term deliveries and less severe neonatal hypoglycaemia. Comparing local and national Indigenous data, local showed poorer outcomes, however, only 11.8% had diabetes or hypertension nationally.\ud \ud Conclusion: The local cohort had poorer outcomes probably reflecting a more disadvantaged. Few differences were found between local Indigenous groups

The ADIPS pilot National Diabetes in Pregnancy Audit Project

Background: Limited resources are available to compare outcomes of pregnancies complicated by diabetes across different centres. Aims: To compare the use of paper, stand alone and networked electronic processes for a sustainable, systematic international audit of diabetes in pregnancy care. Methods: Development of diabetes in pregnancy minimum dataset using nominal group technique, email user survey of difficulties with audit tools and collation of audit data from nine pilot sites across Australia and New Zealand. Results: Seventy-nine defined data items were collected: 33 were for all women, nine for those with gestational diabetes (GDM) and 37 for women with pregestational diabetes. After the pilot, four new fields were requested and 18 fields had queries regarding utility or definition. A range of obstacles hampered the implementation of the audit including Medical Records Committee processes, other medical/non-medical staff not initially involved, temporary staff, multiple clinical records used by different parts of the health service, difficulty obtaining the postnatal test results and time constraints. Implementation of electronic audits in both the networked and the stand-alone settings had additional problems relating to the need to nest within pre-existing systems. Among the 496 women (45 type 1; 43 type 2, 399 GDM) across the nine centres, there were substantial differences in key quality and outcome indicators between sites. Conclusions: We conclude that an international, multicentre audit and benchmarking program is feasible and sustainable, but can be hampered by pre-existing processes, particularly in the initial introduction of electronic methods