Data quality from a longitudinal study of adolescent health at schools near industrial livestock facilities.

ABSTRACT:

Purpose

Longitudinal designs enable examination of temporal relationships between exposures and health outcomes, but extended participation can cause study fatigue. We present an approach for analyzing data quality and study fatigue in a participatory, longitudinal study of adolescents.

Methods

Participants (n = 340) in the Rural Air Pollutants and Children's Health study completed daily diaries for 3 to 5 weeks in 2009 while we monitored outdoor pollutant concentrations. We used regression models to examine established associations between disease, symptoms, anthropometrics, and lung function as indicators of internal consistency and external validity. We modeled temporal trends in data completeness, lung function, environmental odors, and symptoms to assess study fatigue.<

SUBMITTER: Guidry VT 

PROVIDER: S-EPMC4669241 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature