Author/Authors :
Bakhshi, Enayatollah University of Social Welfare and Rehabilitation Sciences - Tehran , Zare Delavar, Sepideh University of Social Welfare and Rehabilitation Sciences - Tehran , Soleimani, Farin University of Social Welfare and Rehabilitation Sciences - Tehran , Biglarian, Akbar University of Social Welfare and Rehabilitation Sciences - Tehran
Abstract :
Background: The interaction of the risk factors is an important focus in medical study. The etiology of CP is multi-factorial and
usually arises from a series of causal pathways.
Objectives: The aim of this study was to compare four statistical methods to detect the interactions of risk factors of cerebral palsy
(CP).
Methods: In this cross-sectional study, 225 children aged 1 - 6 years were studied during 2008 and 2009 in Tehran, Iran. Penalized
logistic regression (PLR), multifactor dimensionality reduction (MDR), logic regression (LR) and classification regression (CR) methods were used to detect interactions.
Results: There was an interaction between the consanguinity factor and gender, asphyxia, preterm delivery, vaginal delivery, previous pregnancies, history of pregnancy, history of illness, sepsis, and small for gestational age (SGA). The methods used in this study
were detect two-way (6 terms), three-way (11 terms) and four-way (2 terms) interaction terms. Of these interactions, asphyxia ×
consanguinity interaction was detected by MDR, LR, and CR methods.
Conclusions: Our findings showed that the consanguinity factor had an interaction with most of the risk factors and especially
consanguinity×asphyxia term was detected in allmethods. So this interaction term is very important for considering by clinicians.
Keywords :
Penalized Logistic Regression , Multifactor Dimensionality Reduction , Logic Regression , Cassification Regression , Cerebral Palsy