Background. Greater attention is being paid to data quality in surveys
of older age groups. In this paper patterns of item non-response are
examined in a health risk appraisal instrument administered to an elde
rly cohort participating in a randomized preventive intervention study
. Methods. The association between demographic and health status facto
rs with the number of non-responses out of 174 items was examined at b
aseline and at the 12-month follow-up on 1791 subjects. Results. Overa
ll, non-response decreased from baseline to 12 months. The pattern was
consistent across the seven major components of the questionnaire. Un
ivariate analyses at baseline found that item non-response increased s
ignificantly (P < 0.05) with age, being female, being unmarried, lower
annual income, less education, and poorer personal health ranking. Po
lychotomous logistic regression identified age and personal health ran
king as statistically significant at both baseline and 12-month follow
-up assessments after controlling for all other factors. In addition,
education was significant at baseline. Conclusions. These results help
to identify subgroups of elderly participants who contribute to non-r
andom patterns of missing data.