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Food Substitution Modeling Approaches: A Methodological Study
Thomas Roosdorp1, Michael Fridén2,3,4, Daniel B Ibsen4,5
1Department of Food Studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden.
Current Developments in Nutrition
|July 20, 2026
Summary
Dietary substitution models significantly impact nutrition research findings. Different modeling approaches for fermented and nonfermented milk intake yielded varying results for all-cause mortality in elderly men.
Area of Science:
- Nutritional Epidemiology
- Dietary Modeling
- Observational Studies
Background:
- Interpreting observational nutrition studies relies on accurate food intake modeling.
- Substitution effects in dietary analysis are influenced by how total energy or food intake is adjusted for.
- Simulation studies highlight the sensitivity of substitution effect estimates to the chosen modeling approach.
Purpose of the Study:
- To compare various dietary substitution models using empirical data.
- To assess the impact of different modeling strategies on the association between milk consumption (fermented vs. nonfermented) and all-cause mortality.
- To investigate the influence of unit of choice (grams, kilocalories, or mixed) on substitution model estimates.
Main Methods:
- Employed two main substitution modeling strategies: nonspecified (adjusting for total energy) and specified (adjusting for total energy and other foods).
- The specified approach included leave-one-out and comprehensive leave-one-out models.
- Analyzed data from a Swedish cohort of 1063 elderly men, using Cox proportional hazard regression for all-cause mortality.
- Evaluated models using grams, kilocalories (kcal), or mixed units, resulting in 18 distinct substitution models.
Main Results:
- Nonspecified substitution models for nonfermented milk showed significant variation based on the unit of choice (mixed vs. same-unit kcal).
- Fermented milk exhibited no estimated differences across nonspecified substitution models.
- Specified substitution models yielded consistent estimates regardless of the unit of choice.
Conclusions:
- Dietary substitution modeling approaches, particularly nonspecified ones, can lead to differing estimates for specific food items like nonfermented milk.
- While specified models showed consistency, each represents a unique research question that should be explicitly stated.
- The choice of modeling strategy and units is crucial for accurate interpretation of dietary substitution effects in nutritional epidemiology.
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