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The effects on saturated fat purchases of providing internet shoppers with purchase- specific dietary advice: a randomised trial.

Huang A, Barzi F, Huxley R, Denyer G, Rohrlach B, Jayne K, Neal B - PLoS Clin Trials (2006)

Bottom Line: The effects of the intervention were sustained over consecutive shopping episodes, and there was no difference in the average cost of the food bought by each group.Fully automated, purchase-specific dietary advice offered to customers during Internet shopping can bring about changes in food purchasing habits that are likely to have significant public health implications.Because implementation is simple to initiate and maintain, this strategy would likely be highly cost-effective.

View Article: PubMed Central - PubMed

Affiliation: George Institute for International Health, University of Sydney, Sydney, New South Wales, Australia.

ABSTRACT

Objectives: The supermarket industry now services many customers through online food shopping over the Internet. The Internet shopping process offers a novel opportunity for the modification of dietary patterns. The aim of this study was to evaluate the effects on consumers' purchases of saturated fat of a fully automated computerised system that provided real-time advice tailored to the consumers' specific purchases recommending foods lower in saturated fat.

Design: This study was a blinded, randomised controlled trial.

Setting: The study was conducted in Sydney, New South Wales, Australia.

Participants: The participants were consumers using a commercial online Internet shopping site between February and June 2004.

Interventions: Individuals assigned to intervention received fully automated advice that recommended specific switches from selected products higher in saturated fat to alternate similar products lower in saturated fat. Participants assigned to control received general non-specific advice about how to eat a diet lower in saturated fat.

Outcome measures: The outcome measure was the difference in saturated fat (grams per 100 g of food) in shopping baskets between the intervention and control groups.

Results: There were 497 randomised participants, mean age 40 y, each shopping for an average of about three people. The amount of saturated fat in the foods purchased by the intervention group was 0.66% lower (95% confidence interval 0.48-0.84, p < 0.001) than in the control group. The effects of the intervention were sustained over consecutive shopping episodes, and there was no difference in the average cost of the food bought by each group.

Conclusions: Fully automated, purchase-specific dietary advice offered to customers during Internet shopping can bring about changes in food purchasing habits that are likely to have significant public health implications. Because implementation is simple to initiate and maintain, this strategy would likely be highly cost-effective.

No MeSH data available.


Flow Chart of Study
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pctr-0010022-g001: Flow Chart of Study

Mentions: A total of 4,548 individuals were offered participation, and 497 were randomised (251 intervention and 246 control) (Figure 1). Of these, 456 (224 intervention and 232 control) completed at least one episode of shopping that included one or more of the 524 foods studied. Median follow-up time completed by the end of the study in June 2004 was 35 d, and the median number of shopping episodes done by participants was three (range 1–20). The baseline characteristics documented on the questionnaire were balanced between randomised groups, with a mean participant age of 40 y and a proportion female of 88% (Table 1).


The effects on saturated fat purchases of providing internet shoppers with purchase- specific dietary advice: a randomised trial.

Huang A, Barzi F, Huxley R, Denyer G, Rohrlach B, Jayne K, Neal B - PLoS Clin Trials (2006)

Flow Chart of Study
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC1574360&req=5

pctr-0010022-g001: Flow Chart of Study
Mentions: A total of 4,548 individuals were offered participation, and 497 were randomised (251 intervention and 246 control) (Figure 1). Of these, 456 (224 intervention and 232 control) completed at least one episode of shopping that included one or more of the 524 foods studied. Median follow-up time completed by the end of the study in June 2004 was 35 d, and the median number of shopping episodes done by participants was three (range 1–20). The baseline characteristics documented on the questionnaire were balanced between randomised groups, with a mean participant age of 40 y and a proportion female of 88% (Table 1).

Bottom Line: The effects of the intervention were sustained over consecutive shopping episodes, and there was no difference in the average cost of the food bought by each group.Fully automated, purchase-specific dietary advice offered to customers during Internet shopping can bring about changes in food purchasing habits that are likely to have significant public health implications.Because implementation is simple to initiate and maintain, this strategy would likely be highly cost-effective.

View Article: PubMed Central - PubMed

Affiliation: George Institute for International Health, University of Sydney, Sydney, New South Wales, Australia.

ABSTRACT

Objectives: The supermarket industry now services many customers through online food shopping over the Internet. The Internet shopping process offers a novel opportunity for the modification of dietary patterns. The aim of this study was to evaluate the effects on consumers' purchases of saturated fat of a fully automated computerised system that provided real-time advice tailored to the consumers' specific purchases recommending foods lower in saturated fat.

Design: This study was a blinded, randomised controlled trial.

Setting: The study was conducted in Sydney, New South Wales, Australia.

Participants: The participants were consumers using a commercial online Internet shopping site between February and June 2004.

Interventions: Individuals assigned to intervention received fully automated advice that recommended specific switches from selected products higher in saturated fat to alternate similar products lower in saturated fat. Participants assigned to control received general non-specific advice about how to eat a diet lower in saturated fat.

Outcome measures: The outcome measure was the difference in saturated fat (grams per 100 g of food) in shopping baskets between the intervention and control groups.

Results: There were 497 randomised participants, mean age 40 y, each shopping for an average of about three people. The amount of saturated fat in the foods purchased by the intervention group was 0.66% lower (95% confidence interval 0.48-0.84, p < 0.001) than in the control group. The effects of the intervention were sustained over consecutive shopping episodes, and there was no difference in the average cost of the food bought by each group.

Conclusions: Fully automated, purchase-specific dietary advice offered to customers during Internet shopping can bring about changes in food purchasing habits that are likely to have significant public health implications. Because implementation is simple to initiate and maintain, this strategy would likely be highly cost-effective.

No MeSH data available.