OBJECTIVE: To explore the associations between measures of physical activity (PA) and measures of physical function (PF) in women with rheumatoid arthritis (RA). We hypothesized that the strength of the associations between PA and PF would be moderate, and that after controlling for social and biomedical characteristics, the associations would decrease. METHODS: Women with RA (n = 47, mean +/- SD age 56.5 +/- 7.0 years) participated in the cross-sectional analysis of this study. Social and biomedical characteristics explored included age, ethnicity, disease duration, marital and educational status, height, weight, comorbidity, and disease activity. PF was measured by the self-reported Health Assessment Questionnaire (HAQ) and by a battery of performance-based measures that included self-selected gait speed, the 5 chair rise test, and the single leg stance test. PA was measured by a portable activity monitor worn for 10 days, and was characterized in 2 ways: daily average number of steps and daily energy expenditure during moderate levels of PA. RESULTS: Correlations between measures of PA and PF were small to moderate (zero-order correlations = 0.189-0.479). After controlling for social and biomedical characteristics, the correlations became smaller (semi-partial correlations = 0.095-0.277) and only HAQ score remained significantly associated with PA. CONCLUSION: Associations between measures of PA and measures of PF were explained, in part, by social and biomedical characteristics in women with RA. The results indicate that measures of PF and PA may represent different constructs and support the need to measure PA in rehabilitation research in RA.
OBJECTIVE: To explore the associations between measures of physical activity (PA) and measures of physical function (PF) in women with rheumatoid arthritis (RA). We hypothesized that the strength of the associations between PA and PF would be moderate, and that after controlling for social and biomedical characteristics, the associations would decrease. METHODS:Women with RA (n = 47, mean +/- SD age 56.5 +/- 7.0 years) participated in the cross-sectional analysis of this study. Social and biomedical characteristics explored included age, ethnicity, disease duration, marital and educational status, height, weight, comorbidity, and disease activity. PF was measured by the self-reported Health Assessment Questionnaire (HAQ) and by a battery of performance-based measures that included self-selected gait speed, the 5 chair rise test, and the single leg stance test. PA was measured by a portable activity monitor worn for 10 days, and was characterized in 2 ways: daily average number of steps and daily energy expenditure during moderate levels of PA. RESULTS: Correlations between measures of PA and PF were small to moderate (zero-order correlations = 0.189-0.479). After controlling for social and biomedical characteristics, the correlations became smaller (semi-partial correlations = 0.095-0.277) and only HAQ score remained significantly associated with PA. CONCLUSION: Associations between measures of PA and measures of PF were explained, in part, by social and biomedical characteristics in women with RA. The results indicate that measures of PF and PA may represent different constructs and support the need to measure PA in rehabilitation research in RA.
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