The influence of education and income on responses to the QuickDASH questionnaire.

UNLABELLED: We studied the influence of levels of income and education on QuickDASH scores. The scores were collected in a random sample of 1376 residents of Norway. The level of income was divided into four bands and level of education into five bands. The mean QuickDASH score for both men and women fell with every increase in education and income level. For women the mean score was 30 for those with the shortest education and 9 for those with the longest (p < 0.001). The corresponding figures for men were 19 and 7 (p < 0.01). The women with the lowest level of income had a mean score of 23, compared with 8 for women with the highest income level (p < 0.001). For men the corresponding mean scores were 20 and 5 (p < 0.001). Analysis of variance showed that age alone accounted for 16% of the variability of the scores among women and 7% among men. When levels of education and income were added to the analysis, these three factors accounted for 21% of the variability among women and 13% among men. We conclude that socioeconomic factors significantly influence QuickDASH scores. LEVEL OF EVIDENCE: 3.