Structural equation modeling in epidemiology.

Abstract:

:Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts in SEM, including an application using epidemiological data analysis from a study on the determinants of cognitive development in young children, considering constructs related to organization of the child's home environment, parenting style, and the child's health status. The relations between the constructs and cognitive development were measured. The results showed a positive association between psychosocial stimulus at home and cognitive development in young children. The article presents the contributions by SEM to epidemiology, highlighting the need for an a priori theoretical model for improving the study of epidemiological questions from a new perspective.

journal_name

Cad Saude Publica

authors

Amorim LD,Fiaccone RL,Santos CA,Santos TN,Moraes LT,Oliveira NF,Barbosa SO,Santos DN,Santos LM,Matos SM,Barreto ML

doi

10.1590/s0102-311x2010001200004

subject

Has Abstract

pub_date

2010-12-01 00:00:00

pages

2251-62

issue

12

eissn

0102-311X

issn

1678-4464

pii

S0102-311X2010001200004

journal_volume

26

pub_type

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