Applicability of Structural Equation Modeling in Practice of Optimal Dietary Intake amongst Recuperating Alcoholics

Abstract

Background: Structural equation modeling is a methodology for representing, estimating, and testing a network of relationships between measured variables and latent constructs. This statistical approach is used quite readily to test theoretical models and provide overall fit indices that determine whether the model tested actually fits the observed data. Objective: We aimed at providing recuperating alcoholics with the basics of structural equation modeling so they can assimilate evidence from studies that use this statistical tool to incorporate such findings into optimal dietary intake practice. Methods: This cross-sectional study was conducted from August to November 2018 amongst recuperating alcoholics receiving rehabilitation in Asumbi treatment center of Homabay County, Kenya. Structural equation modeling determined the evidence of practice of optimal dietary intake amongst recuperating alcoholics. Results: Structural model parameter estimation showed high values, especially for subjective norm (β=0.62, p<0.01, n=207) that significantly influenced practice of optimal dietary intake. Conclusion: Nutritionist or other health professionals who wish to use SEM to explore such relations should apply all the steps used in SEM and ensure they have a sample that is sufficient.