Rachel B Acton1, Sharon I Kirkpatrick1, David Hammond2. 1. School of Public Health and Health Systems, University of Waterloo, 200 University Ave W., Waterloo, ON, N2L 3G1, Canada. 2. School of Public Health and Health Systems, University of Waterloo, 200 University Ave W., Waterloo, ON, N2L 3G1, Canada. david.hammond@uwaterloo.ca.
Abstract
INTERVENTION: This study examined whether the impacts of sugar taxes and front-of-pack (FOP) nutrition labels differ across socio-demographic subgroups. RESEARCH QUESTION: What are the main and moderating effects of individual-level characteristics on the nutrient content of participants' purchases in response to varying taxation levels and FOP labels? METHODS: Data from an experimental marketplace were analyzed. A sample of 3584 Canadians aged 13 years and older received $5 to purchase an item from a selection of 20 beverages and 20 snack foods. Participants were shown products with one of five FOP labels and completed eight within-subject purchasing tasks with different tax conditions. Linear mixed models were used to estimate the main and moderating effects of 11 individual-level variables on the sugars, sodium, saturated fats, and calorie content of participants' purchases. RESULTS: Participants who were younger, male, and more frequent consumers of sugary drinks purchased products containing more sugars, sodium, saturated fats, and calories. Sex and age moderated the relationship between tax condition and sugars or calories purchased: female participants were more responsive than males to a tax that included fruit juice, and younger participants were more responsive to all sugar tax conditions than older participants. Reported thirst and education level also moderated the relationship between tax condition and calories purchased. No individual-level characteristics moderated the effects of FOP labels. CONCLUSION: A small proportion (7 of 176) of the moderating effects tested in this study were significant. Sugar taxes and FOP labelling policies may therefore produce similar effects across key socio-demographic groups.
INTERVENTION: This study examined whether the impacts of sugar taxes and front-of-pack (FOP) nutrition labels differ across socio-demographic subgroups. RESEARCH QUESTION: What are the main and moderating effects of individual-level characteristics on the nutrient content of participants' purchases in response to varying taxation levels and FOP labels? METHODS: Data from an experimental marketplace were analyzed. A sample of 3584 Canadians aged 13 years and older received $5 to purchase an item from a selection of 20 beverages and 20 snack foods. Participants were shown products with one of five FOP labels and completed eight within-subject purchasing tasks with different tax conditions. Linear mixed models were used to estimate the main and moderating effects of 11 individual-level variables on the sugars, sodium, saturated fats, and calorie content of participants' purchases. RESULTS: Participants who were younger, male, and more frequent consumers of sugary drinks purchased products containing more sugars, sodium, saturated fats, and calories. Sex and age moderated the relationship between tax condition and sugars or calories purchased: female participants were more responsive than males to a tax that included fruit juice, and younger participants were more responsive to all sugar tax conditions than older participants. Reported thirst and education level also moderated the relationship between tax condition and calories purchased. No individual-level characteristics moderated the effects of FOP labels. CONCLUSION: A small proportion (7 of 176) of the moderating effects tested in this study were significant. Sugar taxes and FOP labelling policies may therefore produce similar effects across key socio-demographic groups.
Authors: Rory McGill; Elspeth Anwar; Lois Orton; Helen Bromley; Ffion Lloyd-Williams; Martin O'Flaherty; David Taylor-Robinson; Maria Guzman-Castillo; Duncan Gillespie; Patricia Moreira; Kirk Allen; Lirije Hyseni; Nicola Calder; Mark Petticrew; Martin White; Margaret Whitehead; Simon Capewell Journal: BMC Public Health Date: 2015-05-02 Impact factor: 3.295
Authors: Marissa G Hall; Anna H Grummon; Isabella C A Higgins; Allison J Lazard; Carmen E Prestemon; Mirian I Avendaño-Galdamez; Lindsey Smith Taillie Journal: PLoS Med Date: 2022-02-01 Impact factor: 11.069