A recursive partitioning approach to investigating correlates of self-rated health: The CARDIA Study.

ABSTRACT: Self-rated health (SRH) is an independent predictor of mortality; studies have investigated correlates of SRH to explain this predictive capability. However, the interplay of a broad array of factors that influence health status may not be adequately captured with parametric multivariate regression. This study investigated associations between several health determinants and SRH using recursive partitioning methods. This non-parametric analytic approach aimed to reflect the social-ecological model of health, emphasizing relationships between multiple health determinants, including biological, behavioral, and from social/physical environments. The study sample of 3648 men and women was drawn from the year 15 (2000-2001) data collection of the CARDIA Study, USA, in order to study a young adu

SUBMITTER: Nayak S 

PROVIDER: S-EPMC5976867 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature