TY - JOUR
T1 - Food substitution models for nutritional epidemiology
AU - Ibsen, Daniel B.
AU - Laursen, Anne Sofie D
AU - Würtz, Anne Mette L
AU - Dahm, Christina C
AU - Rimm, Eric B
AU - Parner, Erik T
AU - Overvad, Kim
AU - Jakobsen, Marianne Uhre
PY - 2021
Y1 - 2021
N2 - The advantage of using specified substitution analysis in nutritional epidemiology has been clearly demonstrated in studies of macronutrient intake and disease risk. However, the method has not been widely applied in studies of food intake. The aim of this article is to describe and compare the interpretation and application of different food substitution models in epidemiologic studies on diet and disease development. Both theoretically and in the context of a specific example, we discuss methodologic issues to be considered, including modeling of food substitutions using diet at a single time point or at multiple time points (focusing on dietary changes), choice of substitution unit, adjustment for total energy intake, and adjustment for confounding. We argue that specified food substitution analyses can be used to identify optimal food composition of the diet and that these analyses are thus highly relevant to inform public health policy decision makers.
AB - The advantage of using specified substitution analysis in nutritional epidemiology has been clearly demonstrated in studies of macronutrient intake and disease risk. However, the method has not been widely applied in studies of food intake. The aim of this article is to describe and compare the interpretation and application of different food substitution models in epidemiologic studies on diet and disease development. Both theoretically and in the context of a specific example, we discuss methodologic issues to be considered, including modeling of food substitutions using diet at a single time point or at multiple time points (focusing on dietary changes), choice of substitution unit, adjustment for total energy intake, and adjustment for confounding. We argue that specified food substitution analyses can be used to identify optimal food composition of the diet and that these analyses are thus highly relevant to inform public health policy decision makers.
U2 - 10.1093/ajcn/nqaa315
DO - 10.1093/ajcn/nqaa315
M3 - Journal article
C2 - 33300036
SN - 0002-9165
VL - 113
SP - 294
EP - 303
JO - American Journal of Clinical Nutrition
JF - American Journal of Clinical Nutrition
IS - 2
ER -