Eun-Kyoung Goh, Hyo-Jeong Jeon
Application of a Bayesian Network Learning Model to Predict Longitudinal Trajectories of Executive Function Difficulties in Elementary School Students
Journal of Intelligence
socioeconomic status ses linked mortality rates family income quantifiable marker ses however precise association family incometopoverty ratio pir allcause mortality adults aged 40 older remains unclear crosssectional study conducted using data nhanes iii including 20497 individuals pir used assess financial status various demographic lifestyle clinical factors considered mortality data collected nhanes iii linked mortality file study revealed nonlinear association pir allcause mortality piecewise cox proportional hazards regression model showed inflection point pir 35 threshold hazard ratio hr allcause mortality 085 95 ci 079091 35 hr decreased 066 95 ci 057076 participants lower income higher probability allcause mortality middleincome highincome groups showing lower multivariateadjusted hrs compared lowincome group study provides evidence nonlinear association pir allcause mortality adults aged 40 older inflection point pir 35 findings emphasize importance considering nonlinear relationship family income mortality addressing socioeconomic health disparities