Abstract P281: Comparing the Impact of Price Change and Mass Media Campaigns in Reducing Cardiovascular Disease Mortality and Disparities in the US

Abstract

Introduction: Cardiovascular disease (CVD) mortality burdens remain large and unequal in the US, and much is attributable to poor diets. However, few data exist regarding the potential population level impact of policies aimed at improving dietary intake, such as the Supplemental Nutrition Assistance Programme (SNAP), and potential effects on disparities. Aim: To estimate reductions in CVD mortality and disparities achievable in the US population up to 2030 through food price changes and mass media campaign interventions targeting fruits and vegetables (F&V) and sugar sweetened beverages (SSBs). Methods: We developed a US IMPACT Food Policy Model to compare four contrasting food policy scenarios targeting dietary intake: A) - national F&V mass media campaign, B) F&V price reductions of 10% universally and C) 30% to SNAP participants, D) - SSB price increase of 10% universally. Data sources included the National Vital Statistics System, SEER single year population estimates, the US Bureau 2012 National Population projections, and NHANES. We stratified the US population into SNAP participants, SNAP eligible but not participating, and SNAP ineligible. We modelled cumulative deaths prevented or postponed (DPP) and life years gained (LYG) using best-evidence effect sizes for each policy, existing mortality rates and trends, and F&V and SSB mortality effects. We stratified by age, sex, and CVD subtype from 2015 to 2030. Sensitivity analyses were conducted with Monte Carlo simulation. Results: Scenario B (universal 10% price reduction) would yield the greatest national benefits, generating approximately 88,000 DPPs (95% CI: 81,000-94,000) and 1,369,000 LYGs (1,268,000-1,460-000) by 2030. This compares with between 28,000 (26,000-30,000) and 84,000 (79,000-89,000) DPPs in Scenario A, depending on duration of media campaigns; and approximately 27,000 (24,000-30,000) and 29,000 (25,000-33,000) DPPs in scenarios C and D respectively. Scenario C (30% price reduction to SNAP participants) might reduce CVD disparities by about 18% comparing SNAP participants with the ineligible population. Scenarios A, B and D would have negligible effects on mortality disparities. Conclusions: All four dietary policies would be effective in reducing mortality. Reducing fruit and vegetable (F&V) price by 10% to the entire US would save most lives. Reducing F&V price by 30% to SNAP participants would reduce disparities the most, particularly if SNAP program coverage and penetration were improved. These results support population fiscal strategies targeting diet to reduce cardiovascular mortality and disparities in the US.