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Validation Information: Supermarket Sales Data (New Zealand)

Eyles 2010

Use of Household Supermarket Sales Data to Estimate Nutrient Intakes: A Comparison with Repeat 24-Hour Dietary Recalls

Electronic supermarket sales data provide a promising, novel way of estimating nutrient intakes. However, little is known about how these data reflect the nutrients consumed by an individual household member. A cross-sectional survey of 49 primary household shoppers (age [mean+/-standard deviation age]=48+/-14 years; 84% female) from Wellington, New Zealand, was undertaken. Three months of baseline electronic supermarket sales data were compared with individual dietary intakes estimated from four random 24-hour dietary recalls collected during the same 3-month period. Spearman rank correlations between household purchases and individual intakes ranged from 0.54 for percentage of energy from saturated fat (P=0.001) to 0.06 for sodium (P=0.68). Other correlation coefficients were: percentage of energy from carbohydrate, 0.48; and protein, 0.44; energy density of nonbeverages, 0.37 (kcal/oz); percentage of energy from total fat, 0.34; sugar, 0.33 (oz/kcal); and energy density of beverages, 0.09 (oz/kcal; all P values <0.05). This research suggests that household electronic supermarket sales data may be a useful surrogate measure of some nutrient intakes of individuals, particularly percentage of energy from saturated and total fat. In the case of a supermarket intervention, an effect on household sales of percentage energy from saturated and total fat is also likely to impact the saturated and total fat intake of individual household members.

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Validation Information

Year of Publication

Tool Information

Dietary Exposure Measured
Energy, Macronutrient
Tool Type
Supermarket Sales Data
Timeframe Tool Measures info
3 months
Portion Size Measures info
Not reported
Reporting Method info
Format info
Supplements Measured
Not reported
Administration Method info

Study Information

Study Location
Wellington, New Zealand
Associated Nutrient Database
The electronic supermarket sales data used a specially developed, brand-specific, supermarket food and nutrient database. The 24hr recalls used FoodWorks
Comparator Validated Against
24hr Recall


Sample Size
Age of Population

Mean (SD): 48 (14) years

Other Notable Characteristics
Participants were predominantly female with a high level of education and income compared to the general New Zealand population

Total number of nutrients validated: 6 info

Not all of the nutrients validated in the validation studies are included in the table below, as statistical data was only selected to be displayed for a number of nutrients, this included:

  • Energy
  • Fat
  • Saturated Fat
  • Mono-unsaturated Fat
  • Poly-unsaturated Fat
  • Carbohydrates
  • Protein
  • Sugar
  • Non‐starch polysaccharides(NSP)
  • Sodium
  • Calcium
  • Iron
  • Zinc
  • Retinol
  • Folate
  • Folic Acid
  • Vitamin B12
  • Vitamin C
  • Fruit & Vegetables
  • Urinary Nitrogen

To find information on the other validated nutrients please read the validation study.

  • Energy
  • Macronutrients: 7
  • Micronutrients: 0
Comparator Lifestage Sex Nutrient Measured info Mean Difference Standard Deviation info Correlation Coefficient info Cohen's Kappa Coefficient Percentage Agreement Percentage Agreement Categories info Lower Limits of Agreement Upper Limits of Agreement
24hr Recall Adults Both Energy density (kcal/oz) -49.36 69.43 0.37 (S) N/C N/C
Protein (% from energy) 4 5 0.44 (S) N/C N/C
Fat (% from energy) -1 8 0.34 (S) N/C N/C
Saturated Fat (% from energy) -1 4 0.54 (S) N/C N/C
Carbohydrate (% from energy) -3 7 0.48 (S) N/C N/C
Sugar (oz/kcal) -2.10 6.07 0.33 (S) N/C N/C
Sodium (oz/kcal) 122.84 164.98 0.06 (S) N/C N/C

Some results have been calculated using statistical techniques based on the published data.

For further information on statistical terms click on Statistical tests used in validation studies

All correlations coefficients in the table are unadjusted unless stated otherwise. For adjusted correlation coefficients and other statistical methods used in the study e.g. paired t-tests, please read the validation articles.

  • # Adjusted
  • † Energy adjusted.
  • ‡ For loge-transformed, energy-adjusted nutrient intakes.
  • ^ Adjacent included.
  • ᵟ Participants provided identical responses.
  • (w) = Weighted.

Eyles H, Jiang Y, Mhurchu CN. Use of household supermarket sales data to estimate nutrient intakes: a comparison with repeat 24-hour dietary recalls. Journal of the American Dietetic Association. 2010 Jan 31;110(1):106-10.