Association of body composition with disability in rheumatoid arthritis: Impact of appendicular fat and lean tissue mass

Jon T. Giles, Susan J. Bartlett, Ross E. Andersen, Kevin R. Fontaine, Joan M. Bathon

Research output: Contribution to journalArticle

Abstract

Objective. To explore the association of measures of body composition with disability in patients with rheumatoid arthritis (RA). Methods. Patients with RA underwent total body dual-energy x-ray absorptiometry for measurement of total and regional body fat and lean mass. The associations of measures of fat and lean mass with disability, measured with the Health Assessment Questionnaire (HAQ), were explored for the total cohort and by sex, controlling for pertinent demographic, lifestyle, and RA disease and treatment covariates. Results. We studied 197 subjects (118 women, 79 men). Median (interquartile range) HAQ score was 0.625 (0.125-1.25) and was significantly higher, indicating worse physical function, in women than in men. HAQ score was strongly correlated with depression, pain, RA duration, duration of morning stiffness, Disease Activity Score in 28 joints, radiographic damage scores, levels of physical and sedentary activities, and body composition, with increasing fat and decreasing lean mass associated with higher HAQ scores. Appendicular fat and lean mass demonstrated the strongest association per kilogram with HAQ. Mean HAQ score was 0.52 units higher for subjects in the highest versus the lowest quartile of appendicular fat mass (P <0.001), and 0.81 units higher for subjects in the lowest versus the highest quartile of appendicular lean mass (P

Original languageEnglish (US)
Pages (from-to)1407-1415
Number of pages9
JournalArthritis Care and Research
Volume59
Issue number10
DOIs
StatePublished - Oct 15 2008

ASJC Scopus subject areas

  • Rheumatology

Fingerprint Dive into the research topics of 'Association of body composition with disability in rheumatoid arthritis: Impact of appendicular fat and lean tissue mass'. Together they form a unique fingerprint.

  • Cite this