Abstract:
Healthy eating is associated with a range of favorable health outcomes. We have previously published the Food4HealthyLife model that estimated the impact of dietary changes on life expectancy gains, but did not consider height, weight, or physical activity. The objective of this work was to estimate the life expectancy gains from the transition from typical national dietary patterns to longevity-optimizing dietary changes, more feasible dietary modifications, and optimized vegan dietary changes for China, France, Germany, Iran, Norway, the United Kingdom, and the United States.
Our modeling study used data from meta-analyses presenting dose-response relationships between intake of fifteen food groups and mortality. Background mortality data were from the Global Burden of Disease study. We used national food intake data and adjusted for height, weight, and physical activity level.
Our results indicated that for 40-year-olds, estimated life expectancy gains ranged from 6.2 years (with uncertainty intervals 5.7;7.5) for Chinese females to 9.7 years (8.1;11.3) for US males following sustained changes from typical country-specific dietary patterns to longevity-optimized dietary changes, and from 5.2 years (4.0;6.5) for Chinese females to 8.7 years (7.1;10.3) for US males following changes to an optimized vegan dietary changes.
In conclusion, a sustained change from country-specific typical dietary pattern patterns to longevity-optimized dietary changes, more feasible dietary changes, or optimized vegan dietary changes, were all projected to result in substantial life expectancy gains across ages and countries. These changes included more whole grains, legumes, and nuts, and less red/processed meats and sugars and sugar-sweetened beverages. The largest gains from dietary changes would be in the United States.
Audience Take Away:
- The presentation will present a model for life expectancy gains from sustained change in dietary intake using data from meta-analyses, from the Global Burden of Disease study, and life-table methodology, together with population data on eating patterns, while adjusting for height, weight, and activity level.
- The presentation will show contribution from different food groups in life expectancy gains.
- It also enables understanding the potential impact on life expectancy of sustained changes in intake of specific food groups. This could guide decision making by clinicians and policymakers.