Simulating the Impact of Sugar-Sweetened Beverage Warning Labels in Three Cities

Lee, Bruce Y.; Ferguson, Marie C.; Hertenstein, Daniel L.; Adam, Atif; Zenkov, Eli; Wang, Peggy I.; Wong, Michelle S.; Gittelsohn, Joel; Mui, Yeeli; Brown, Shawn T.

doi:10.1016/j.amepre.2017.11.003

Cited by 41 publications

(43 citation statements)

References 30 publications

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“…Several models (n = 7) also included interactions between individuals and their immediate food and physical activity environments , all using agent‐based modeling.…”

Section: Resultsmentioning

confidence: 99%

“…One model simulated eight graders' decisions about beverage type in a school following physical education class and tested the impact of different configurations of the environment (ie, number of water fountains or vending machines, SSB price) and other factors on their energy balance and dehydration. The Virtual Population for Obesity Prevention model used a geospatial grid of food and beverage locations associated with differing probabilities of eating and SBB consumption as an environment for Baltimore, San Francisco, and Philadelphia youth of 11 to 18 years. They tested the impact of SSB warning labels on obesity prevalence and SSB consumption while varying literacy and retailer compliance rates.…”

Section: Resultsmentioning

confidence: 99%

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A systematic review of system dynamics and agent‐based obesity models: Evaluating obesity as part of the global syndemic

et al. 2019

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Summary The problem of obesity has recently been reframed as part of the global syndemic—the co‐occurring, interacting pandemics of obesity, undernutrition, and climate change that are driven by common underlying societal drivers. System science modeling approaches may help clarify how these shared drivers operate and the best ways to address them. The objective of this paper was to determine to what extent existing agent‐based and system dynamics computational models of obesity provide insights into the shared drivers of the global syndemic. Peer‐reviewed studies published until July 2018 were identified from Scopus, Web of Science, and PubMed databases. Thirty‐eight studies representing 30 computational models were included. They show a growing use of system dynamics and agent‐based modeling in the past decade. They most often examined mechanisms and interventions in the areas of social network‐based influences on obesity, physiology and disease state mechanics, and the role of food and physical activity environments. Usefulness for identifying common drivers of the global syndemic was mixed; most models represented Western settings and focused on obesity determinants close to the person (eg, social circles, school settings, and neighborhood environments), with a relative paucity in models at mesolevel and macrolevel and in developing country contexts.

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“…Several models (n = 7) also included interactions between individuals and their immediate food and physical activity environments , all using agent‐based modeling.…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A systematic review of system dynamics and agent‐based obesity models: Evaluating obesity as part of the global syndemic

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Potential implications for policy: While more research is highly desirable, jurisdictions wanting to test out real-world SSB maximum serving size regulations could consider these in context with other SSB control interventions. These include SSB taxes which are rapidly increasing in usage internationally (56) and the use of mandatory warning labels on SSB with benefits suggested by modeling (60) and experiments. (61,62) Some of these interventions could be combined into packages (all passed by the same law), e.g., a SSB volume cap may be impacted less by substitution issues if combined with mandatory warning labels on all SSBs.…”

Section: Discussionmentioning

confidence: 99%

Estimating the health benefits and cost-savings of a cap on the size of single serve sugar-sweetened beverages

Cleghorn

Blakely

Mhurchú

et al. 2019

Preventive Medicine

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“…Their use on SSBs also shows promise. The findings from a recent simulation study suggest that implementing warning labels, whether text or image-based, on SSBs across all retailers could reduce obesity prevalence among adolescents ( Lee et al, 2017 ). Text-based labels can improve understanding of the health harms associated with SSBs overconsumption and may reduce the selection of such drinks ( Bollard et al, 2016 ; Gray et al, 2011 ; Vanepps and Roberto, 2016 ), including by parents choosing beverages for their children ( Roberto et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Impact of warning labels on sugar-sweetened beverages on parental selection: An online experimental study

Mantzari

Vasiljevic

Turney

et al. 2018

Preventive Medicine Reports

109

105

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Sugar-sweetened beverages (SSBs) are one of the largest added sugar sources to diets in the UK and USA, particularly among young people. Warning labels, including calorie information labels, could reduce SSB consumption but uncertainty surrounds the labels that are most effective. This study assessed the impact of labels containing (a) each of two image-based warnings and (b) calorie information, singly and together, on SSB selection by parents of 11–16-year-olds living in the UK. Using a 3 (disease image, sugar content image, no image) × 2 (calorie information, no calorie information) between-subjects experimental design, 2002 participants were randomised to see beverages with one of six labels and selected one for their child to consume. The primary outcome was the proportion of participants selecting an SSB. Data were collected in December 2017. Logistic regressions showed SSB selection was lower when labels contained an image-based warning (35%), compared to not having any label (49%) or just calorie information (43.5%). The disease image lowered selection more than the sugar image (32% vs 40.5%). Providing calorie information with the disease image had no additional impact on selection (33%) but enhanced the impact of the sugar image (36%). Image-based warning labels discourage SSB selection by parents for their children. Images depicting health consequences of excess sugar consumption have larger effects than those depicting sugar content. Calorie information does not add to the effect of the former but does to that of the latter. Field studies are needed to assess the impact of SSB warning labels in real-life settings.

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Simulating the Impact of Sugar-Sweetened Beverage Warning Labels in Three Cities

Cited by 41 publications

References 30 publications

A systematic review of system dynamics and agent‐based obesity models: Evaluating obesity as part of the global syndemic

A systematic review of system dynamics and agent‐based obesity models: Evaluating obesity as part of the global syndemic

Estimating the health benefits and cost-savings of a cap on the size of single serve sugar-sweetened beverages

Impact of warning labels on sugar-sweetened beverages on parental selection: An online experimental study

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