Limits...
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.


Effects of Repeated Advice in the Intervention (n = 115) and Control Group (n = 121)Squares are placed at the point estimate of the effect observed in the intervention (A) and control (B) groups, and the vertical lines extend to the 95% confidence intervals around the estimate. The p-value for trend in the intervention group indicates a progressive decrease in effect size with repeated shopping episodes. There was no significant decrease in saturated fat at any time point in the control group, nor any trend over time (all p > 0.09).
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC1574360&req=5

pctr-0010022-g002: Effects of Repeated Advice in the Intervention (n = 115) and Control Group (n = 121)Squares are placed at the point estimate of the effect observed in the intervention (A) and control (B) groups, and the vertical lines extend to the 95% confidence intervals around the estimate. The p-value for trend in the intervention group indicates a progressive decrease in effect size with repeated shopping episodes. There was no significant decrease in saturated fat at any time point in the control group, nor any trend over time (all p > 0.09).

Mentions: For the first occasion on which advice was offered, the amount of saturated fat in the food purchased by the intervention group after advice was a mean of 0.66% (0.48–0.84, p < 0.001) lower than in the corresponding foods purchased by the control group (Table 2), which is equivalent to an approximate 10% reduction in saturated fat content of foods purchased (Figure 2). This difference resulted from a decrease in the mean saturated fat content in the foods purchased following the advice offered to the intervention group of 0.77% (0.60–0.94, p < 0.001), with no corresponding decrease in the control group 0.04% (0.00–0.08, p = 0.07). The effect estimate for the primary outcome was 0.62% (0.46–0.79, p < 0.001) if analysis was restricted to only the 456 individuals that selected one of the 524 foods studied and was 0.58 (0.39–0.77, p < 0.001) if the change in saturated fat was set to zero for those individuals that did not select one of the foods. The subgroup analyses provided some evidence that the intervention had greater effects among individuals with higher body mass index and among people above 40 y of age (for both, homogeneity p < 0.03) (Table 3). There was no baseline variable that substantively altered the main result as a consequence of its inclusion or exclusion as a covariate.


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)

Effects of Repeated Advice in the Intervention (n = 115) and Control Group (n = 121)Squares are placed at the point estimate of the effect observed in the intervention (A) and control (B) groups, and the vertical lines extend to the 95% confidence intervals around the estimate. The p-value for trend in the intervention group indicates a progressive decrease in effect size with repeated shopping episodes. There was no significant decrease in saturated fat at any time point in the control group, nor any trend over time (all p > 0.09).
© Copyright Policy
Related In: Results  -  Collection

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

pctr-0010022-g002: Effects of Repeated Advice in the Intervention (n = 115) and Control Group (n = 121)Squares are placed at the point estimate of the effect observed in the intervention (A) and control (B) groups, and the vertical lines extend to the 95% confidence intervals around the estimate. The p-value for trend in the intervention group indicates a progressive decrease in effect size with repeated shopping episodes. There was no significant decrease in saturated fat at any time point in the control group, nor any trend over time (all p > 0.09).
Mentions: For the first occasion on which advice was offered, the amount of saturated fat in the food purchased by the intervention group after advice was a mean of 0.66% (0.48–0.84, p < 0.001) lower than in the corresponding foods purchased by the control group (Table 2), which is equivalent to an approximate 10% reduction in saturated fat content of foods purchased (Figure 2). This difference resulted from a decrease in the mean saturated fat content in the foods purchased following the advice offered to the intervention group of 0.77% (0.60–0.94, p < 0.001), with no corresponding decrease in the control group 0.04% (0.00–0.08, p = 0.07). The effect estimate for the primary outcome was 0.62% (0.46–0.79, p < 0.001) if analysis was restricted to only the 456 individuals that selected one of the 524 foods studied and was 0.58 (0.39–0.77, p < 0.001) if the change in saturated fat was set to zero for those individuals that did not select one of the foods. The subgroup analyses provided some evidence that the intervention had greater effects among individuals with higher body mass index and among people above 40 y of age (for both, homogeneity p < 0.03) (Table 3). There was no baseline variable that substantively altered the main result as a consequence of its inclusion or exclusion as a covariate.

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.