Food cost and availability in a rural setting in Australia

Introduction: The burden of chronic diseases is rapidly increasing worldwide. In  Australia rural populations have a greater burden of disease. Chronic diseases are largely preventable with diet as a key risk factor. With respect to diet-related chronic disease, dietary risk may be due to poor food access, namely, poor availability and/or the high cost of healthy food. It is likely that poor food access is an issue in rural areas. Objective: To assess food access in rural south-west (SW) Victoria, Australia.

Methods: A total of 53 supermarkets and grocery stores in 42 towns participated in a survey of food cost and availability in the rural area of SW Victoria. The survey assessed availability and cost of a Healthy Food Access Basket (HFAB) which was designed to meet the nutritional needs of a family of 6 for 2 weeks.

Results: Seventy-two percent of the eligible shops in SW Victoria were surveyed. The study found that the complete HFAB was significantly more likely to be available in a town with a chain-owned store (p<0.00). The complete HFAB was less likely to be available from an independently owned store in a town with only one grocery shop (p<0.004). The average cost of the HFAB across SW Victoria was AU$380.30 ± $25.10 (mean ± SD). There was a mean range in difference of cost of the HFAB of $36.92. In particular, high variability was found in the cost of fruits and vegetables.

Conclusions: Cost and availability of healthy food may be compromised in rural areas. Implications: Improvements in food access in rural areas could reduce the high burden of disease suffered by rural communities.

The comparative cost of food and beverages at remote Indigenous communities, Northern Territory, Australia

OBJECTIVE: To determine the average price difference between foods and beverages in remote Indigenous community stores and capital city supermarkets and explore differences across products.

METHODS: A cross-sectional survey compared prices derived from point-of-sale data in 20 remote Northern Territory stores with supermarkets in capital cities of the Northern Territory and South Australia for groceries commonly purchased in remote stores. Average price differences for products, supply categories and food groups were examined.

RESULTS: The 443 products examined represented 63% of food and beverage expenditure in remote stores. Remote products were, on average, 60% and 68% more expensive than advertised prices for Darwin and Adelaide supermarkets, respectively. The average price difference for fresh products was half that of packaged groceries for Darwin supermarkets and more than 50% for food groups that contributed most to purchasing.

CONCLUSIONS: Strategies employed by manufacturers and supermarkets, such as promotional pricing, and supermarkets' generic products lead to lower prices. These opportunities are not equally available to remote customers and are a major driver of price disparity.

IMPLICATIONS: Food affordability for already disadvantaged residents of remote communities could be improved by policies targeted at manufacturers, wholesalers and/or major supermarket chains.

It's time to determine the cost of a healthy diet in Australia

Economic factors are important determinants of food security. In terms of food access, financial resources determine an individual’s ability to procure food; on the supply side, the cost of food is equally important. The interplay of these two factors, financial resources and cost, is perhaps the most immediate and important determinant of what people do (or do not) put into their shopping trolleys or purchase at the takeaway and ultimately eat – if you cannot afford it you cannot eat it even if you want to!

Does modifying the household food budget predict changes in the healthfulness of purchasing choices among low- and high-income women?

Food cost has a strong influence on food purchases and given that persons of low income often have more limited budgets, healthier foods may be overlooked in favour of more energy-dense lower-cost options. The aim of this study was to investigate whether modifications to the available household food budget led to changes in the healthfulness of food purchasing choices among women of low and high income. A quasi-experimental design was used which included a sample of 74 women (37 low-income women and 37 high-income women) who were selected on the basis of their household income and sent an itemised shopping list in order to calculate their typical weekly household shopping expenditure. The women were also asked to indicate those foods they would add to their list if they were given an additional 25% of their budget to spend on food and those foods they would remove if they were restricted by 25% of their budget. When asked what foods they would add with a larger household food budget, low-income women chose more foods from the ‘healthier’ categories whereas high-income women chose more foods from the less ‘healthier’ categories. However, making the budgets of low- and high-income women more ‘equivalent’ did not eradicate income differences in overall healthfulness of food purchasing choices. This study highlights the importance of cost when making food purchasing choices among low- and high-income groups. Public health strategies aimed at reducing income inequalities in diet might focus on promoting healthy diets that are low cost.

A healthy diet consistent with Australian health recommendations is too expensive for welfare-dependant families

Objective: Examine the cost of healthy food habits for welfare-dependent families in Australia.

Method:  A seven-day meal plan was developed, based on Australian public health recommendations, for two typical welfare-dependent families: a couple-family (two adults, two children) and a one-parent family (one adult, two children). The cost of the meal plan was calculated using market brand and generic brand grocery items, and total cost compared to income.

Results: In Australia, the cost of healthy food habits uses about 40% of the disposable income of welfare-dependent families. Families earning an average income would spend only 20% of their disposable income to buy the same healthy food. Substituting generic brands for market brands reduced the weekly food cost by about 13%. This is one of few economic models to include generic brands.

Conclusion: Compared with average-income Australian families, healthy food habits are a fiscal challenge to welfare-dependent families.

Implications: These results provide a benchmark for economic and social policy analysis, and the influence disposable income has on prioritising healthy food habits.

The cost-effectiveness of removing television advertising of high-fat and/or high-sugar food and beverages to Australian children

Objective: To model the health benefits and cost-effectiveness of banning television (TV) advertisements in Australia for energy-dense, nutrient-poor food and beverages during children's peak viewing times.

Methods: Benefits were modelled as changes in body mass index (BMI) and disability-adjusted life years (DALYs) saved. Intervention costs (AUD$) were compared with future health-care cost offsets from reduced prevalence of obesity-related health conditions. Changes in BMI were assumed to be maintained through to adulthood. The comparator was current practice, the reference year was 2001, and the discount rate for costs and benefits was 3%. The impact of the withdrawal of non-core food and beverage advertisements on children's actual food consumption was drawn from the best available evidence (a randomized controlled trial of advertisement exposure and food consumption). Supporting evidence was found in ecological relationships between TV advertising and childhood obesity, and from the effects of marketing bans on other products. A Working Group of stakeholders provided input into decisions surrounding the modelling assumptions and second-stage filters of 'strength of evidence', 'equity', 'acceptability to stakeholders', 'feasibility of implementation', 'sustainability' and 'side-effects'.

Results: The intervention had a gross incremental cost-effectiveness ratio of AUD$ 3.70 (95% uncertainty interval (UI) $2.40, $7.70) per DALY. Total DALYs saved were 37 000 (95% UI 16 000, 59 000). When the present value of potential savings in future health-care costs was considered (AUD$ 300m (95% UI $130m, $480m), the intervention was 'dominant', because it resulted in both a health gain and a cost offset compared with current practice.

Conclusions: Although recognizing the limitations of the available evidence, restricting TV food advertising to children would be one of the most cost-effective population-based interventions available to governments today. Despite its economic credentials from a public health perspective, the initiative is strongly opposed by food and advertising industries and is under review by the current Australian government.

'Traffic-light' nutrition labelling and 'junk-food' tax : a modelled comparison of cost-effectiveness for obesity prevention

Introduction: Cost-effectiveness analyses are important tools in efforts to prioritise interventions for obesity prevention.
Modelling facilitates evaluation of multiple scenarios with varying assumptions. This study compares the cost-effectiveness of
conservative scenarios for two commonly proposed policy-based interventions: front-of-pack ‘traffic-light’ nutrition labelling
(traffic-light labelling) and a tax on unhealthy foods (‘junk-food’ tax).
Methods: For traffic-light labelling, estimates of changes in energy intake were based on an assumed 10% shift in consumption
towards healthier options in four food categories (breakfast cereals, pastries, sausages and preprepared meals) in 10% of adults. For the ‘junk-food’ tax, price elasticities were used to estimate a change in energy intake in response to a 10% price increase in seven food categories (including soft drinks, confectionery and snack foods). Changes in population weight and body mass index by sex were then estimated based on these changes in population energy intake, along with subsequent impacts on disability-adjusted life years (DALYs). Associated resource use was measured and costed using pathway analysis, based on a health sector perspective (with some industry costs included). Costs and health outcomes were discounted at 3%. The cost-effectiveness of each intervention was modelled for the 2003 Australian adult population.
Results: Both interventions resulted in reduced mean weight (traffic-light labelling: 1.3 kg (95% uncertainty interval (UI): 1.2;
1.4); ‘junk-food’ tax: 1.6 kg (95% UI: 1.5; 1.7)); and DALYs averted (traffic-light labelling: 45 100 (95% UI: 37 700; 60 100);
‘junk-food’ tax: 559 000 (95% UI: 459 500; 676 000)). Cost outlays were AUD81 million (95% UI: 44.7; 108.0) for traffic-light
labelling and AUD18 million (95% UI: 14.4; 21.6) for ‘junk-food’ tax. Cost-effectiveness analysis showed both interventions were
‘dominant’ (effective and cost-saving).
Conclusion: Policy-based population-wide interventions such as traffic-light nutrition labelling and taxes on unhealthy foods are
likely to offer excellent ‘value for money’ as obesity prevention measures.

BMI and healthcare cost impact of eliminating tax subsidy for advertising unhealthy food to youth

INTRODUCTION: Food and beverage TV advertising contributes to childhood obesity. The current tax treatment of advertising as an ordinary business expense in the U.S. subsidizes marketing of nutritionally poor foods and beverages to children. This study models the effect of a national intervention that eliminates the tax subsidy of advertising nutritionally poor foods and beverages on TV to children aged 2-19 years. METHODS: We adapted and modified the Assessing Cost Effectiveness framework and methods to create the Childhood Obesity Intervention Cost Effectiveness Study model to simulate the impact of the intervention over the 2015-2025 period for the U.S. population, including short-term effects on BMI and 10-year healthcare expenditures. We simulated uncertainty intervals (UIs) using probabilistic sensitivity analysis and discounted outcomes at 3% annually. Data were analyzed in 2014. RESULTS: We estimated the intervention would reduce an aggregate 2.13 million (95% UI=0.83 million, 3.52 million) BMI units in the population and would cost $1.16 per BMI unit reduced (95% UI=$0.51, $2.63). From 2015 to 2025, the intervention would result in $352 million (95% UI=$138 million, $581 million) in healthcare cost savings and gain 4,538 (95% UI=1,752, 7,489) quality-adjusted life-years. CONCLUSIONS: Eliminating the tax subsidy of TV advertising costs for nutritionally poor foods and beverages advertised to children and adolescents would likely be a cost-saving strategy to reduce childhood obesity and related healthcare expenditures.

Future challenges in day-care centre food services : will benchmarking help?

Purpose – The aim of this study is to identify the methods used by providers to evaluate their food services and identify elements of their service that would benefit from adopting a benchmarking system.

Design/methodology/approach – In-depth interviews were conducted with 26 food services providers and key informants in day-care settings in Surrey.

Findings – Few providers formally evaluated their service provision and most had not considered benchmarking their services against other food service providers. Factors such as food variety, food quality, cost and environment have been identified as issues that could be benchmarked and may benefit from the adoption of this process.

Research limitations/implications – The study was conducted only in one country – in the UK – further research is needed into the evaluation practices of other local authorities. The benchmarking model that has been developed by the authors needs to be applied in a food service setting to establish its usefulness to food service managers.

Practical implications – A model has been developed from the outcome of this research, which could aid evaluation processes for food service providers to identify aspects of the service in need of improvement.

Originality/value – There has been little research conducted on the evaluation of food service provision for older people, especially for congregate meals. This paper provides a model, that food service providers may find useful, to identify areas of their food services that are suitable for benchmarking.

Is a healthy diet affordable and accessible in the city of Yarra, Victoria Australia? An analysis of cost disparity and nutritional choices

This study aimed to examine cost disparity and nutritional choices within the
City of Yarra (Yarra), targeting three suburbs that have low- and high-rise
estates: Richmond, Fitzroy, and Collingwood. The healthy food basket
(HFB) was modeled on the Queensland Healthy Food Access Basket for a
six-person family for a fortnight and was constructed to include food items
that are common to ethnic groups living in Yarra. The HFB food item costs
were sampled across 29 food outlets in Yarra. The average cost of HFB per fortnight
for a family of six was significantly lower in Richmond (Mean = $419.26)
than in Collingwood (Mean = $519.28) and in Fitzroy (Mean = $433.98). While
costs for cereal groups, dairy, meats and alternatives, and non-core were
comparable across the suburbs, significant differences were noticed for fruit,
legumes and vegetables. Geographic location alone explained 54% of the
variance in HFB price (F_2,26 = 15.23, p < 0.001) and 32.7% in the variance of
fruit, vegetable and legumes (F_2,26 = 7.72, p < 0.001). The effect of geographic
location remained consistent after controlling for the type of food
outlets. The type of food outlets had a non-significant effect on the variance
of prices. Richmond had a greater number variety of fruit, vegetables, and
legumes (F_{2, 26} = 5.7, p < 0.01) and an overall lower number of missing items
(F_{2, 26} = 3.9, p < 0.05) than Collingwood and Fitzroy. The diversity of food
available in the three suburbs was more likely to reflect the Vietnamese,
Chinese and East-Timorese shopping pattern than the rest of other ethnic

Socioeconomic variations in women's diets : what is the role of perceptions of the local food environment

Objectives : To test the contribution of perceived environmental factors (food availability, accessibility and affordability) to mediating socioeconomic variations in women’s fruit, vegetable and fast food consumption.

Methods : A community sample of 1580 women from 45 neighbourhoods provided survey data on their socioeconomic position (SEP) (education and income); diet (fruit, vegetable and fast food consumption); and the perceived availability of, access to and cost of healthy food in their local area.

Results : Once perceived environmental variables were considered, the associations between SEP and diet were weak and non-significant, suggesting that socioeconomic differences in diet were almost wholly explained by perceptions of food availability, accessibility and affordability.

Conclusions : Strategies to decrease socioeconomic inequalities in diet could involve promoting inexpensive ways to increase fruit and vegetable consumption, and ensuring that people of low SEP are aware that many healthy foods are available at relatively low cost. Future research should also confirm if perceptions match objective measures of food availability, accessibility and affordability, in order to address the real and/or perceived lack of healthy options in low SEP neighbourhoods.

The effect of food temperature on post-prandial metabolism in albatrosses

Heat generated by the specific dynamic action (SDA) associated with feeding is known to substitute for the thermoregulatory costs of cold-exposed endotherms; however, the effectiveness of this depends on food  temperature. When food is cooler than core body temperature, it is warmed by body heat and, consequently, imposes a thermoregulatory challenge to the animal. The degree to which this cost might be `paid' by SDA depends on the relative timing of food heating and the SDA response. We investigated this phenomenon in two genera of endotherms, Diomedea and Thalassarche albatrosses, by measuring postprandial metabolic rate following ingestion of food at body temperature (40°C) and cooler (0 and 20°C). This permitted us to estimate potential contributions to food warming by SDA-derived heat, and to observe the effect of cold food on metabolic rate. For meal sizes that were ~20% of body mass, SDA was 4.22±0.37% of assimilated food energy, and potentially contributed 17.9±1.0% and 13.2±2.2% of the required heating energy of food at 0°C for Diomedea and Thalassarche albatrosses, respectively, and proportionately greater quantities at higher food temperatures. Cold food increased the rate at which postprandial metabolic rate increased to 3.2–4.5 times that associated with food ingested at body temperature. We also found that albatrosses generated heat in excess by more than 50% of the estimated thermostatic heating demand of cold food, a probable consequence of time delays in physiological responses to afferent signals.