Premium
Hierarchical multiple informants models: examining food environment contributions to the childhood obesity epidemic
Author(s) -
Baek Jonggyu,
Sánchez Brisa N.,
SanchezVaznaugh Emma V.
Publication year - 2013
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.5967
Subject(s) - association (psychology) , childhood obesity , cluster (spacecraft) , hierarchical database model , obesity , environmental health , body mass index , psychology , multilevel model , computer science , statistics , medicine , mathematics , data mining , pathology , overweight , programming language , psychotherapist
Methods for multiple informants help to estimate the marginal effect of each multiple source predictor and formally compare the strength of their association with an outcome. We extend multiple informant methods to the case of hierarchical data structures to account for within cluster correlation. We apply the proposed method to examine the relationship between features of the food environment near schools and children's body mass index z‐scores (BMIz). Specifically, we compare the associations between two different features of the food environment (fast food restaurants and convenience stores) with BMIz and investigate how the association between the number of fast food restaurants or convenience stores and child's BMIz varies across distance from a school. The newly developed methodology enhances the types of research questions that can be asked by investigators studying effects of environment on childhood obesity and can be applied to other fields. Copyright © 2013 John Wiley & Sons, Ltd.