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Characteristics of the community-level diet of Aboriginal people in remote northern Australia

Julie K Brimblecombe, Megan M Ferguson, Selma C Liberato and Kerin O’Dea
Med J Aust 2013; 198 (7): 380-384.
doi:
10.5694/mja12.11407
Abstract

Objective: To describe the nutritional quality of community-level diets in remote northern Australian communities.

Design, setting and participants: A multisite 12-month assessment (July 2010 to June 2011) of community-level diet in three remote Aboriginal communities in the Northern Territory, linking data from food outlets and food services to the Australian Food and Nutrient Database.

Main outcome measures: Contribution of food groups to total food expenditure; macronutrient contribution to energy and nutrient density relative to requirements; and food sources of key nutrients.

Results: One-quarter (24.8%; SD, 1.4%) of total food expenditure was on non-alcoholic beverages; 15.6% (SD, 1.2%) was on sugar-sweetened drinks. 2.2% (SD, 0.2%) was spent on fruit and 5.4% (SD, 0.4%) on vegetables. Sugars contributed 25.7%–34.3% of dietary energy, 71% of which was table sugar and sugar-sweetened beverages. Dietary protein contributed 12.5%–14.1% of energy, lower than the recommended 15%–25% optimum. Furthermore, white bread was a major source of energy and most nutrients in all three communities.

Conclusion: Very poor dietary quality continues to be a characteristic of remote Aboriginal community nutrition profiles since the earliest studies almost three decades ago. Significant proportions of key nutrients are provided from poor-quality nutrient-fortified processed foods. Further evidence regarding the impact of the cost of food on food purchasing in this context is urgently needed and should include cost–benefit analysis of improved dietary intake on health outcomes.

Dietary improvement for Indigenous Australians is a priority strategy for reducing the health gap between Indigenous and non-Indigenous Australians.1 Poor-quality diet among the Indigenous population is a significant risk factor for three of the major causes of premature death — cardiovascular disease, cancer and type 2 diabetes.2 The 26% of Indigenous Australians living in remote areas experience 40% of the health gap of Indigenous Australians overall.3 Much of this burden of disease is due to extremely poor nutrition throughout life.4

Comprehensive dietary data for Indigenous Australians are not available from national nutrition surveys or any other source. Previous reports on purchased food in remote Aboriginal communities are either dated,5 limited to the primary store5,6 and/or short-term or cross-sectional in design.7,8 These studies have consistently reported low intake of fruit and vegetables, high intake of refined cereals and sugars, excessive sodium intake, and limited availability of several key micronutrients.

The aim of this study was to examine characteristics of the community-level diet in remote communities in the Northern Territory over a 12-month period.

Methods

We examined purchased food in three remote communities in relation to:

  • food expenditure;

  • estimated per capita intake;

  • nutrient profile (macronutrient contribution to energy) and nutrient density (nutrient per 1000 kJ) relative to requirements; and

  • major nutrient sources.

We collected information on community size, remoteness and availability of food in each community as well as community dietary data including all available foods with the exception of traditional foods and foods sourced externally to the community. Alcohol was prohibited in the three study communities at the time of our study.

Monthly electronic food (and non-alcoholic beverage) transaction data were provided by the community-owned store and independent stores in the three communities for July 2010 to June 2011. Food order data were collected from food suppliers for all food services in each of the three communities. All food and beverage items with their accompanying universal product code or store-derived product code, quantity sold, and dollar value (retail price) were imported to a purpose-designed Microsoft Access database9 and linked to the Food Standards Australia New Zealand Australian Food and Nutrient survey specific (AUSNUT 1999 and AUSNUT 200710) and reference (NUTTAB 06) databases (NUTTAB 06 has now been replaced by NUTTAB 2010). Folate dietary equivalent levels per 100 g were modified for bread and flour to equal NUTTAB 2010 levels since mandatory fortification was introduced. Unit weights were derived for all food and drink items and multiplied by the quantity sold to give a total item weight. Food items were categorised into food groups derived from the Australian Food and Nutrient Database AUSNUT 07 food grouping system10 and beverages were further categorised to provide a greater level of detail (Appendix 1). Several nutrient compositions for items not available in these databases were derived from the product’s nutrition information panel, which is mandatory on all packaged foods in Australia, or from standard recipes. Nutrient availability was derived for 21 nutrients. Energy and nutrient content per 100 g edible portion was multiplied by the edible weight (primarily sourced from Australian Food and Nutrient data10) of each of the food and beverage items (adjusted for specific gravity to convert mL to g weight) to derive total energy and nutrient content for each food group.

Completeness of data and accuracy were ensured by: a check on monthly time periods reported, follow-up with providers where a food description or unit weight was not available or where a discrepancy was noted; checking of unit weights against unit dollar value; and a second person checking the matching of foods with nutrient composition data and assigning of food groups.

Data analysis

Data were grouped by community, food source, month and food group and transferred to Stata 10 (StataCorp) for analysis. Data for all food sources were combined (community food supply) and the average monthly and per capita daily weight and dollar value of each food group were calculated. Mean monthly and daily food weights were assumed to approximate mean monthly and daily dietary intakes for the data period.

The populations of each of the three remote communities and the three communities combined were estimated based on the total amount of energy provided through the community-level diet, and, assuming energy balance, were divided by the estimated weighted per capita energy requirement for each of the communities and the three communities combined. The estimated total population was verified against Australian Bureau of Statistics (ABS) estimates.11 The weighted per capita energy requirement was determined for each community using the estimated energy requirement for each age group and sex, as stated in the Nutrient Reference Values for Australia and New Zealand12 (with a physical activity factor of 1.6 [National Health and Medical Research Council — light activity13]) in conjunction with the population age and sex distribution as determined by the 2006 ABS population census for each of these three communities.

Nutrient density was calculated for each nutrient by dividing the total nutrient weight by the energy value of the community food supply. Population-weighted nutrient density requirements were derived using estimated average requirements (EARs).12 The EAR for nutrients is stated as a daily average and varies by age and sex. EARs are estimated to meet the requirements of half the healthy individuals of a particular age group and sex and are used to assess the prevalence of inadequate intakes at a population level.12 A nutrient density level below the weighted EAR per 1000 kJ was considered insufficient in meeting the population’s requirements.

Adequate intake (AI) values were used for nutrients for which no EAR was available (potassium, dietary fibre and vitamin E α-tocopherol equivalents). The midpoint of the AI range for sodium was used. Macronutrient profiles (the proportions of dietary energy from protein, total fat, saturated fat, carbohydrate and total sugar) were compared with acceptable macronutrient distribution ranges.14 Major food sources were defined as foods contributing 10% or more of a specific nutrient.

Ethics approval was provided by the Human Research Ethics Committee of Menzies School of Health Research and the Northern Territory Department of Health and the Central Australian Human Research Ethics Committee. Written informed consent was gained from all participating communities, food businesses and food services.

Results

The estimated total population was 2644. Community populations ranged in estimated size from 163 to 2286 residents of mostly Aboriginal ethnicity and were comparable with regard to age and sex distributions.15 The distance from each community to the nearest food wholesaler ranged from 130 km to 520 km. Variation between the communities in remoteness, size, and number of food outlets is shown in Box 1.

Expenditure patterns

Average per capita monthly spending on food and non-alcoholic beverages in communities A, B and C, respectively, was $394 (SD, $31), $418 (SD, $82) and $379 (SD, $80). About one-quarter of all money spent on food and beverages was on beverages (combined communities, 24.8%; SD, 1.4%), with soft drinks contributing 11.6%–16.1% to sales across the three communities (combined communities, 15.6%; SD 1.2%) (Appendix 2). This compares to less than 10% in total spent on fruit and vegetables in each of the three communities (7.3%, 9.1% and 8.9%; combined communities, 2.2% [SD, 0.2%] on fruit and 5.4% [SD, 0.4%] on vegetables) (Appendix 2).

Per capita daily intake

Based on population estimates, there appeared to be differences in the daily per capita volume of many food groups between community A compared with communities B and C and less notable differences between communities B and C (Appendix 3).

On average, per capita daily intake of beverages (including purchased water and liquid tea) was 1464 g (SD, 130.5 g) with sugar-sweetened soft drinks comprising 298–497 g across communities (Appendix 3). Liquid tea constituted most of the remaining beverage volume. Daily per capita fruit and vegetable intake in community A (122 g) was just over half that of communities B (222 g) and C (247 g) (Appendix 3).

Macronutrient profile

For community A, the proportion of dietary energy as carbohydrate was at the higher end of the recommended range; for communities B and C it was within the recommended range. Sugars contributed 25.7%–34.3% of the total proportion of dietary energy across the three communities (Box 2), 71% of which was table sugar and sugar-sweetened beverages. The proportion of dietary energy from fat was within the acceptable range for each community, and lower in community A compared with communities B and C. The proportion of dietary energy as saturated fat was within the recommended range for community A and higher than recommended for communities B and C. The proportion of dietary energy as protein was lower than the recommended minimum in all three communities (Box 2).

Micronutrient density

With reference to weighted EARs (or AIs) per 1000 kJ and nutrients measured, in all three communities the diet was insufficient in calcium, magnesium, potassium and fibre (Box 3). Iron, vitamin C and folate equivalents were all around double the weighted EAR per 1000 kJ and niacin equivalents were nearly four times the EAR (Box 3). Sodium was the nutrient provided in the greatest excess, at nearly six times the midpoint of the average intake range (Box 3). Most nutrient density values appeared lower in community A compared with communities B and C (Appendix 4).

Major nutrient sources

In all three communities, white bread fortified with fibre and a range of micronutrients was a major source of protein, fibre, iron, sodium, calcium, dietary folate, potassium, magnesium and B-group vitamins (Appendix 5). Sugar and sugar-sweetened beverages provided 65%–72% of total sugars (Appendix 5). Bread, salt and baking powder were major sources of sodium in all three communities. Major food sources of all nutrients were similar across the three communities (Appendix 5).

Discussion

Our comprehensive assessment of the community diet averaged over a 12-month period showed a high intake of refined cereals and added sugars, low levels of fruit, vegetables and protein, limiting key micronutrients, and excessive sodium intake. Our findings confirm recent and past reports of dietary quality in remote Aboriginal communities.5,8 We report food expenditure and dietary patterns that are similar to those reported previously using store sales data alone,5,6,8 as are the limiting nutrients (protein, potassium, magnesium, calcium and fibre).8

A striking finding from our study is the high expenditure on beverages and corresponding high intake of sugar-sweetened beverages coupled with low expenditure (and low intakes) of fruit and vegetables.

The level of sugar-sweetened soft drinks reported for communities B and C is in line with what we have previously reported for 10 NT communities from store data alone.6 The apparently substantially higher per capita volume reported for community A warrants further investigation, which could include examining variation in regional consumption, food delivery systems and food outlets. Similarly high per capita consumption of sugar-sweetened beverages has been reported among Aboriginal and Torres Strait Islander children in regional New South Wales (boys, 457 g/day; girls, 431 g/day) and for children at the national level (364.7 g/day).18,19 The high volume of tea purchased is also of concern, as tea is generally consumed as a sugar-sweetened beverage.

The low daily fruit and vegetable intake reported for the three study communities (which on average equated to 0.3 to 0.7 serves of fruit and 1.1 to 2.1 serves of vegetables) is in range with the reported average of 0.4 serves of fruit and 0.9 serves of vegetables per person per day sold through 10 NT community stores in 2009,6 but lower than intakes self-reported among other Aboriginal populations in remote Queensland and regional NSW.18,20,21 Our estimates do suggest improved intakes compared with the low levels of fruit and vegetable intake reported nearly three decades earlier for six remote NT communities.5 Caution needs to be applied in making comparisons with past studies owing to use of different methodologies. It has been estimated that increasing fruit and vegetable consumption to up to 600 g per day could reduce the global burden of ischaemic heart disease and stroke by 31% and 19%, respectively.22 The benefits for the Indigenous population are likely to be much greater, considering their currently low intake of fruit and vegetables and high burden of disease.

A further disturbing aspect of the diet is that fibre-modified and fortified white bread is providing a large proportion of key nutrients, including protein, folate, iron, calcium and magnesium, and unacceptably high levels of sodium. Similarly, among Aboriginal and Torres Strait Islander children in regional NSW, bread was also reported to be a major dietary source of energy, salt and fibre.18 It is alarming that white bread is providing a large percentage of dietary protein when it is a poor protein source. Considering the high-quality protein foods traditionally consumed by Aboriginal Australians,23 this apparent shift to a low-protein and high-carbohydrate diet needs investigation. Traditional foods, such as fish and other seafood, eggs and meat provide high-quality protein, but are unlikely to be significant at the population level if not accessed frequently and by a substantial proportion of the population.

The extremely high rates of preventable chronic disease experienced among Aboriginal people in remote Australia and the high intake of sugar-sweetened beverages, unacceptably low levels of fruit and vegetables, and limiting essential nutrients, provide a compelling rationale that more needs to be done to improve diet and nutrition. Poverty is a key driver of food choice24-26 and although most Indigenous people living in remote communities are in the low income bracket, a standard basket of food costs, on average, 45% more in remote NT communities than in the NT capital.27 People in the study communities spend more on food ($379 to $418 per person per month) compared with the expenditure estimated for other Australians ($314 per person per month with 2.6 persons per household).28 Our study provides the only available estimate of remote community food and drink expenditure that we know of. Household expenditure data are not available for very remote Australia, representing a gap in information on food affordability, a major determinant of health.

Our study highlighted some important differences in dietary quality between the study communities, with the dietary profile for community A being generally poorer. This may be indicative of intercommunity or regional differences, such as community size, number of food outlets, location and remoteness, access to food outlets, level of subsistence procurement and use of traditional foods, climate, housing or water quality, and warrants broader investigation.

As with individual-level dietary assessment, there are limitations in estimating community-level dietary intake. An inherent issue in community-level per capita measures in research is the difficulty of determining the population for the study period, so caution is required in using the values presented here; however, the total population (2644) was verified against ABS predicted estimates for the 2011 Australian remote Indigenous population (2638) and was within 4% of the later released ABS census data collected in 2010 for the three study communities (2535). Further, monthly per capita dietary intake estimations were averaged over a 12-month period and are likely to take into account the fluctuations in population that occur in remote communities seasonally and over time. A strength of our study is that expenditure patterns based on proportional spending, macronutrient profile and nutrient density provide an assessment of dietary quality that are entirely independent of population size estimates. Furthermore, as dietary data are derived from food sales records rather than self-reported data, they provide an objective assessment of diet quality. Limitations in using food sales data as a measure of dietary intake have been reported previously.8 Estimated per capita energy intakes for communities A and B differed by less than 10% from per capita requirements derived from 2010 ABS census population figures, indicating completeness in food sale data. Estimated energy intakes for community C were lower than required but 81% of per capita requirements.

Reports on dietary quality are also limited by the accuracy of food composition databases. For example, the range of nutrients presented for each food in the Australian food composition database varies depending on the analytical data available. Nutrient levels reported in this study are based on currently available nutrient composition data.29

A limitation in assessing the nutritional quality of the community-level diet using purchased food data is the exclusion of traditional food intake. It is assumed that traditional food contributes minimally to community-level dietary intake, as not all families have access to traditional foods and procurement usually does not occur on a regular basis. However, the contribution of traditional food to dietary intake has not been investigated. We recognise it would be important in future studies to quantify the contribution of traditional foods to total food intake. The low expenditure on (and therefore low intake of) high-quality protein foods suggests that either these foods are not affordable, or that possibly these foods are accessed through subsistence procurement. However, mean daily energy intake estimates based on 2010 census data indicate that the great majority of energy required is provided through the imported food supply.

Despite these limitations, this study provides an objective, contemporary and comprehensive assessment of the community-level diet in three remote Indigenous communities without the inherent limitations of individual-level dietary intake assessment. It provides evidence on key areas of concern for dietary improvement in remote Aboriginal communities.

Very poor dietary quality has continued to be a characteristic of community nutrition profiles in remote Indigenous communities in Australia for at least three decades. Significant proportions of a number of key micronutrients are provided as fortification in a diet derived predominantly from otherwise poor-quality, highly processed foods. Ongoing monitoring (through use of food sales data) of community-level diet is needed to better inform community and wider level policy and strategy development and implementation. Low income is undoubtedly a key driver of diet quality. Further evidence regarding the impact of the cost of food on food purchasing in this context is urgently needed and the long-term cost benefit of dietary improvement needs to be considered.

1 Community characteristics

Population, and age and/or sex distribution*


Community

2006

2010

Estimated population

Distance from food wholesaler; location

Access

Food stores

Food services


A

1697  (49% male; 703 residents < 18 yrs)

2124  (50% male)

2286

> 500 km; island in Top End region

Regular daily flight

Community-owned store. Two independent stores

Aged care meals, child care, school canteen, school lunch program, breakfast program

B

250  (49% male; 94 residents <18 yrs)

210  (49% male)

202

> 400 km; central desert region

Sealed and unsealed road

Community-owned store

Aged care meals, school lunch program, child care

C

217  (43% male; 73 residents <18 yrs)

201  (49% male)

163

< 150 km; central desert region

Sealed and unsealed road

Community-owned store

Aged care meals, child care, school lunch program, breakfast program


* Based on Australian Bureau of Statistics (ABS) census data.11,15 2644 was derived for the total study population based on the total energy available in the purchased food supply and the weighted per capita energy requirement based on the total population age and sex distribution. This population size was used for analyses where data for all communities were combined rather than the total of 2651. All three communities are classified by the ABS Australian Standard Geographical Classification (http://www.health.gov.au/internet/otd/publishing.nsf/Content/locator) as RA5 (very remote). ◆

2 Estimated energy availability and macronutrient profile, overall and by community

Energy intake

Community A

Community B

Community C

All communities


Estimated per capita energy intake based on 2010 census population (kJ)

9845

9119

7623

9608

Estimated per capita energy intake, based on estimated energy requirement* (kJ [SD])

9147 (927)

9480 (1644)

9400 (1740)

9212 (856)

Macronutrient distribution as a proportion of dietary energy (% [SD])

Recommended range14

Protein

12.5% (0.3)

14.1% (0.8)

13.4% (0.6)

12.7% (0.3)

15%–25%

Fat

24.5% (0.6)

31.6% (1.5)

33.5% (1.1)

25.7% (0.6)

20%–35%

Saturated fat

9.4% (0.3)

11.6% (0.6)

12.1% (0.3)

9.7% (0.3)

< 10%

Carbohydrate

62.1% (0.8)

53.3% (1.8)

52.1% (1.1)

60.7% (0.8)

45%–65%

Sugars

34.3% (0.8)

28.9% (2.2)

25.7% (1.8)

33.4% (0.7)

< 10%


* Estimated energy requirements were calculated by age group (1–3 years; 4–8 years; 9–13 years; 14–18 years; 19–30 years; 31–50 years; 51–70 years; > 70 years) and sex based on Nutrient Reference Values for Australia and New Zealand, tables 1–3.11 For age 19 to > 70 years, the midpoint height and weight of each adult age group was used. For < 18 years, the midpoint of the estimated energy requirement range across each age and sex category was used. Energy expenditure was estimated at 1.6 basal metabolic rate overall. We estimated 8% of women aged 14–50 years were pregnant and 8% were breastfeeding, based on Australian Bureau of Statistics 2006 births data, table 9.216 and 2006 census data for women aged 13–54 years.15 Recommendation for ‘‘free sugars’’ — all monosaccharides and disaccharides added to foods by the manufacturer, cook or consumer, plus sugars naturally present in honey, syrups and fruit juices.17 

3 Nutrient per 1000 kJ as a percentage of weighted estimated average requirement (EAR) per 1000 kJ,* overall and by community

* Adequate intake values were used for nutrients for which no EAR was available (potassium, dietary fibre, vitamin E α-tocopherol equivalents, sodium).

Received 
17 Sep 2012
accepted 
4 Mar 2013
Julie K Brimblecombe, GradDipNut&Diet, MPH, PhD, Senior Research Fellow1,2
Megan M Ferguson, BSc, GradDipNut&Diet, MPH, and PhD Candidate,1,2 and Senior Research Officer1
Selma C Liberato, GradDipNut&Diet, MSc, PhD, Senior Research Officer (Nutritionist)1,2
Kerin O’Dea, BSc, PhD, Professor, Population Health and Nutrition,3 and Honorary Professor4
1 Wellbeing and Preventable Chronic Disease, Menzies School of Health Research, Darwin, NT.
2 Institute of Advanced Studies, Charles Darwin University, Darwin, NT.
3 School of Population Health, Division of Health Sciences, University of South Australia, Adelaide, SA.
4 Menzies School of Health Research, Darwin, NT.
Acknowledgements: 

We acknowledge the contribution of Adam Barnes, Research Officer, Menzies School of Health Research, and Susannah Summons (Public Health Nutritionist/Dietitian) for assisting with data processing, and Robyn Liddle, Menzies School of Health Research, for expert advice on database design and application. We thank the participating communities, stores, and organisations for supporting the study.

The Cost of Dietary Improvement project was funded through the National Aboriginal and Torres Strait Islander Health Equity Council. Julie Brimblecombe was funded by a National Health and Medical Research Early Career Fellowship (545253).

Competing Interests: 
No relevant disclosures.
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Comments

Congratulations on your painstaking efforts in this area, Professor O'Dea, Dr Brimblecombe and team.  Yours is important work, gathering hard-to-gather facts to give the rest of us a better understanding of what people are eating and drinking as their health turns to custard.

In my opinion, your main results - esp. the bottom line in Table 2/Box 2 - add weight to the assessment that giant-sized servings of added sugar are – alongside alcohol and tobacco – a major driver of the unacceptable “gap” in life expectancy between Indigenous and non-Indigenous Australians.

More broadly, it is heartbreaking to see kids - of all colours and sizes - in many less-well-off areas of Australia sucking down two and three-litre bottles of sugary softdrink as if it were water, setting themselves up for shorter lives featuring obesity, type 2 diabetes and related maladies. 

Accordingly, I'm concerned about ongoing attempts by various dietitians, nutritionists and other food-industry service providers to falsely exonerate sugar as a menace to public health: http://www.australianparadox.com/  

Readers, I am struck by the contrast in quality between the top-notch Brimblecombe et al paper here - published in this credible journal with credible quality controls - and the sub-standard quality of a higher-profile paper in nutrition, the spectacularly faulty Australian Paradox paper recently cited approvingly in both houses of Federal Parliament, a paper that was self-published by high-profile Group of Eight scientists in an obscure pay-as-you-publish E-journal (see Section 2 in the link above).

Disturbingly, the Group of Eight is advertising for increased taxpayer funding on the basis that “research intensive universities” are really, really important - http://www.go8.edu.au/university-staff/go8-policy-_and_-analysis/2013/di... - while doing little or nothing to ensure competence and integrity in Go8 research.