Supermarket Sales Data: Feasibility and Applicability in Population Food and Nutrition Monitoring

Tin, Sandar Tin; Mhurchú, Cliona Ní; Bullen, Chris

doi:10.1111/j.1753-4887.2007.tb00264.x

Cited by 43 publications

(43 citation statements)

References 38 publications

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“…For our purposes, a snapshot is defined as detailed information on dietary practise at a certain point in time, such as single meals or purchases [48] rather than complete dietary sequences like the diet throughout a day. The idea of using snapshots to characterise an individual's diet is mostly connected to new technologies such as mobile phones with camera or portable barcode readers with personal digital assistants.…”

Section: Snapshot Techniquesmentioning

confidence: 99%

The Assessment of Individual Usual Food Intake in Large-Scale Prospective Studies

Illner¹,

Nöthlings²,

Wagner³

et al. 2010

Ann Nutr Metab

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Recent research has called into question the current practice to estimate individual usual food intake in large-scale studies. In such studies, usual food intake has been defined as diet over the past year. The aim of this review is to summarise the concepts of dietary assessment methods providing food intake data over this time period. A conceptualised framework is given to help researchers to understand the more recent developments to improve dietary assessment in large-scale prospective studies, and also to help to spot the gaps that need to be addressed in future methodological research. The conceptual framework illustrates the current options for the assessment of an individual’s food consumption over 1 year. Ideally, a person’s food intake on each day of this year should be assessed. Due to participants’ burden, and organisational and financial constraints, however, the options are limited to directly requesting the long-term average (e.g. food frequency questionnaires), or selecting a few days with detailed food consumption measurements (e.g. 24-hour dietary recalls) or using snapshot techniques (e.g. barcode scanning of purchases). It seems necessary and important to further evaluate the performance of statistical modelling of the individual usual food intake from all available sources. Future dietary assessment might profit from the growing prominence of internet and telecommunication technologies to further enhance the available data on food consumption for each study participant. Research is crucial to investigate the performance of innovative assessment tools. However, the self-reported nature of the data itself will always lead to bias.

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Section: Snapshot Techniquesmentioning

confidence: 99%

The Assessment of Individual Usual Food Intake in Large-Scale Prospective Studies

Illner¹,

Nöthlings²,

Wagner³

et al. 2010

Ann Nutr Metab

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“…These data have potential to provide detailed, objective and prospective information about the household food supply (11) . Food purchase data have been used to estimate individual nutrient intakes (6) , to describe food category purchases of different households (12) and to measure the impact of nutrition interventions (13,14) .…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the large amount of supermarket purchase data collected as part of customer loyalty schemes over the past few decades is an emerging area of interest (11) . These data have potential to provide detailed, objective and prospective information about the household food supply (11) .…”

Section: Introductionmentioning

confidence: 99%

“…Many nutrition interventions promoting the purchase of healthier foods have been trialled in the supermarket setting. Although the evidence is equivocal for the effectiveness of supermarket interventions focused on point-of-purchase dietary education and information provision (8,9) , the potential for success using an innovative approach in this setting has recently been revisited (10) .Moreover, the large amount of supermarket purchase data collected as part of customer loyalty schemes over the past few decades is an emerging area of interest (11) . These data have potential to provide detailed, objective and prospective information about the household food supply (11) .…”

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confidence: 99%

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Feasibility of a Healthy Trolley Index to assess dietary quality of the household food supply

et al. 2015

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Supermarket receipts have the potential to provide prospective, objective information about the household food supply. The aim of this study was to develop an index to estimate population diet quality using food purchase data. Supermarket receipt data of 1 month were available for 836 adults from a corporate office of a large retail chain. Participants were aged 19-65 years (mean 37·6 (SD 9·3) years), 56 % were female and 63 % were overweight or obese. A scoring system (Healthy Trolley Index (HETI)) was developed to compare food expenditure with the Australian Guide to Healthy Eating. Monthly expenditure per food group, as a proportion of total food expenditure, was compared with food group recommendations, and a HETI score was calculated to estimate overall compliance with guidelines. Participants spent the greatest proportion on discretionary foods, which are high in fat/sugar (34·8 %), followed by meat including beef and chicken (17·0 %), fresh and frozen vegetables (13·5 %) and dairy foods (11·3 %). The average HETI score ranged from 22·6 to 93·1 (out of 100, mean 58·8 (SD 10·9)). There was a stepwise decrease in expenditure on discretionary foods by increasing HETI quintile, whereas expenditure on fruit and vegetables increased with HETI quintile (P < 0·001). The HETI score was lower in obese compared with normal-weight participants (55·9 v. 60·3; P < 0·01). Obese participants spent more on discretionary foods (38·3 v. 32·7 %; P < 0·01) and less on fruits and vegetables (19·3 v. 22·2 %; P < 0·01). The HETI may be a useful tool to describe supermarket purchasing patterns and quality of the household food supply with application for consumer feedback to assist improved quality of foods purchased.Key words: Diet quality: Supermarkets: Food supply Poor eating habits are one of the key drivers of overconsumption of energy, weight gain and obesity. Australians consume inadequate amounts of fruit, vegetables and whole grains and, on average, get about 35 % of their energy from energy-dense, nutrient-poor discretionary food and beverage items (1,2) . As a result, improving the food supply to support healthy food choices has been identified as a priority for Australian health promotion efforts and internationally (3,4) .About 60 % of Australian food retail expenditure is in the supermarket, indicating its potential as a key setting to influence the food supply (5) . Previously, supermarket purchases have been found to relate to dietary intakes, particularly at the household level (6,7) . For example, when compared with 4 d of weighed food record data, 1 month of shopping purchase information produced reasonable estimates about energy and fat intake (7) . Many nutrition interventions promoting the purchase of healthier foods have been trialled in the supermarket setting. Although the evidence is equivocal for the effectiveness of supermarket interventions focused on point-of-purchase dietary education and information provision (8,9) , the potential for success using an innovative approach in this setting has ...

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“…[18][19][20] Food and beverage purchase data are objective, therefore not prone to the biases associated with self-reported data. [21][22][23] They can be collected through a number of methods, including collecting electronic point-of-sale data (from retailers), market research surveys or from records collected or retained by consumers (such as receipts).…”

mentioning

confidence: 99%

A comparison of dietary estimates from the National Aboriginal and Torres Strait Islander Health Survey to food and beverage purchase data

McMahon

Wycherley

O’Dea

et al. 2017

Australian and New Zealand Journal of Public Health

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Objective: We compared self‐reported dietary intake from the very remote sample of the National Aboriginal and Torres Strait Islander Nutrition and Physical Activity Survey (VR‐NATSINPAS; n=1,363) to one year of food and beverage purchases from 20 very remote Indigenous Australian communities (servicing ∼8,500 individuals). Methods: Differences in food (% energy from food groups) and nutrients were analysed using t‐test with unequal variance. Results: Per‐capita energy estimates were not significantly different between the surveys (899 MJ/person/day [95% confidence interval −152,1950] p=0.094). Self‐reported intakes of sugar, cereal products/dishes, beverages, fats/oils, milk products/dishes and confectionery were significantly lower than that purchased, while intakes of meat, vegetables, cereal‐based dishes, fish, fruit and eggs were significantly higher (p<0.05). Conclusion: Differences between methods are consistent with differential reporting bias seen in self‐reported dietary data. Implications for public health: The NATSINPAS provides valuable, much‐needed information about dietary intake; however, self‐reported data is prone to energy under‐reporting and reporting bias. Purchase data can be used to track population‐level food and nutrient availability in this population longitudinally; however, further evidence is needed on approaches to estimate wastage and foods sourced outside the store. There is potential for these data to complement each other to inform nutrition policies and programs in this population.

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Supermarket Sales Data: Feasibility and Applicability in Population Food and Nutrition Monitoring

Cited by 43 publications

References 38 publications

The Assessment of Individual Usual Food Intake in Large-Scale Prospective Studies

The Assessment of Individual Usual Food Intake in Large-Scale Prospective Studies

Feasibility of a Healthy Trolley Index to assess dietary quality of the household food supply

A comparison of dietary estimates from the National Aboriginal and Torres Strait Islander Health Survey to food and beverage purchase data

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