Evaluation of Possible Risk Factors of Childhood Autism Spectrum Disorder
Location
Atrium
Session Format
Poster Presentation
Research Area Topic:
Public Health & Well Being - Epidemiologic Research
Co-Presenters and Faculty Mentors or Advisors
Jingjing Yin, Assistant Professor of Biostatistics, Georgia Southern University
Hani M. Samawi, Professor of Biostatistics, Georgia Southern University
Abstract
The causes of autism spectrum disorder (ASD) are uncertain. This study investigates the possible risk factors of childhood autism spectrum disorder (ASD) by analyzing the data from the National Survey of Children’s Health (2011 - 2012). State is included as a covariate because the data is stratified sampling based on each state. The diagnostics of autism cannot be reliable until age 2. So, the health information of the children with age from 2 to 17 years old is evaluated. Since the information of body mass index (BMI) of the children that are 2 to 5 years old is missing, two logistic regression models with and without BMI are evaluated in the study. Both of the models show similar results. Children’s sex, age, birth weight, BMI, condition of joints, bones, and muscle, condition of anxiety, and their living neighborhoods are found to be significantly associated with childhood ASD. In addition, health condition and stress of parents are significantly associated with childhood ASD.
Keywords
Childhood autism, Logistic regression
Presentation Type and Release Option
Presentation (Open Access)
Start Date
4-24-2015 2:45 PM
End Date
4-24-2015 4:00 PM
Recommended Citation
Mo, Chen, "Evaluation of Possible Risk Factors of Childhood Autism Spectrum Disorder" (2015). GS4 Georgia Southern Student Scholars Symposium. 142.
https://digitalcommons.georgiasouthern.edu/research_symposium/2015/2015/142
Evaluation of Possible Risk Factors of Childhood Autism Spectrum Disorder
Atrium
The causes of autism spectrum disorder (ASD) are uncertain. This study investigates the possible risk factors of childhood autism spectrum disorder (ASD) by analyzing the data from the National Survey of Children’s Health (2011 - 2012). State is included as a covariate because the data is stratified sampling based on each state. The diagnostics of autism cannot be reliable until age 2. So, the health information of the children with age from 2 to 17 years old is evaluated. Since the information of body mass index (BMI) of the children that are 2 to 5 years old is missing, two logistic regression models with and without BMI are evaluated in the study. Both of the models show similar results. Children’s sex, age, birth weight, BMI, condition of joints, bones, and muscle, condition of anxiety, and their living neighborhoods are found to be significantly associated with childhood ASD. In addition, health condition and stress of parents are significantly associated with childhood ASD.
