GAMs are a type of statistical model that combines smoothing with the ability to analyze continuous individual-level outcome data and adjust for covariates 16 — Regional Data. The fact that the observed spatial patterns were largely attenuated after adjustment for marital status, parental education, annual household income, or HOME score supports the importance of sociodemographic risk factors for ADHD-related behavior 30 — J Child Psychol Psychiatry.
Potential confounders were chosen a priori based on risk factors for ADHD-related behaviors identified in previously published studies on the same cohort 579and we included each spatially varying covariate individually in the underlying risk model. J Expo Sci Environ Epidemiol.
Regardless of the mechanism of association, the ability of sociodemographic measures to explain spatial variability in ADHD-related behaviors in the NBC supports the potential for such measures to integrate complex exposure, lifestyle, parenting, and genetic risk factors for ADHD-related behaviors.
More Series from County Median Age. Because the spatial patterns were primarily explained by individual-level sociodemographic factors, we did not extend our analysis to include proximity-based measures for other industrial point sources.
Webster, Jonathan I. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data.
We predicted the underlying spatial pattern of ADHD-related behaviors using an initial model that included the smooth function for location and child's age at CTRS-R:L assessment and sex. Conners CK. As such, only measures of parental education at the child's birth were included in the spatial models.
Lastly, socioeconomic factors may enhance or attenuate the detrimental influence of neurotoxic exposures.
Exposures were modeled independently using both a linear term and a loess smoother. Pre- and postnatal lead exposure and behavior problems in school-aged children. Residential insecticide usage in northern California homes with young children.
We used the gam. Changes in the spatial variability of predicted ADHD-related behaviors were observed after individually adjusting for maternal marital status, parental education, annual household income, HOME score, maternal age, and prenatal smoking.