Modeling frameworks in nutritional epidemiology matter: comparing isotemporal and time-lagged Bayesian and frequentist approaches of carbohydrate intake and adiposity.

ABSTRACT:

Background

Understanding how different modeling strategies affect associations in nutritional epidemiology is critical, especially given the temporal complexity of dietary and health data.

Objective

To compare how different modeling frameworks-including isotemporal versus time-lagged designs and frequentist versus Bayesian inference-affect estimated associations between carbohydrate subtypes and adiposity.

Methods

Longitudinal data of 415 adults from the NoHoW Study were used to investigate associations between four carbohydrate predictors (free sugars, intrinsic sugars, starch, and dietary fiber) and three indices of adiposity (body fat percentage, BMI, and waist circumference) as outcomes. Four statistical approaches were used contrasting frequentist and Bayesian me

SUBMITTER: Titensor S 

PROVIDER: S-EPMC12756090 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature