Does attrition bias longitudinal population-based studies on back pain?
GROUND AND AIMS: Longitudinal population studies are a keystone in describing the course of back pain over time. Yet, potential bias because of repeated attrition has received little attention. This study aims to identify those back pain related indicators most susceptible to bias and to discuss practical consequences for back pain research. METHODS: Analyses were based on a population-based longitudinal multi-centre postal back pain survey with two postal follow-up measurements within 2 years. The baseline sample comprised 9263 subjects. Different sets of measures at entry were used to predict subsequent attrition: Socio-demographic variables, indicators of back pain, health related measures, and response behaviour. Back pain related indicators comprised prevalence estimates, pain intensity, disability, and radiating pain. Weighted and unweighted back pain outcomes were compared at the first and second follow-up to assess bias. RESULTS: Only 52.3% of the eligible participants at basel
Longitudinal population studies are a keystone in describing the course of back pain over time. Yet, potential bias because of repeated attrition has received little attention. This study aims to identify those back pain related indicators most susceptible to bias and to discuss practical consequences for back pain research.
