Show simple item record

dc.contributor.authorStavropoulos-Kalinoglou, Antonios
dc.contributor.authorMetsios, Giorgos S.
dc.contributor.authorKoutedakis, Yiannis
dc.contributor.authorNevill, Alan M.
dc.contributor.authorDouglas, Karen M. J.
dc.contributor.authorJamurtas, Athanasios Z.
dc.contributor.authorvan Zanten, J.
dc.contributor.authorLabib, M.
dc.contributor.authorKitas, George D.
dc.date.accessioned2008-04-09T13:17:00Z
dc.date.available2008-04-09T13:17:00Z
dc.date.issued2007
dc.identifier.citationAnnals of the Rheumatic Diseases, 66 (10): 1316-21
dc.identifier.issn0003-4967
dc.identifier.pmid17289757
dc.identifier.doi10.1136/ard.2006.060319
dc.identifier.urihttp://hdl.handle.net/2436/22713
dc.description.abstractOBJECTIVES: To assess whether body mass index (BMI) and body fat (BF) differ between rheumatoid arthritis (RA) patients, patients with non-inflammatory arthritis (osteoarthritis, OA) and healthy individuals, and whether disease specific measures of adiposity are required to accurately reflect BF in these groups. METHODS: 641 individuals were assessed for BMI (kg/m(2)) and BF (bioelectrical impedance). Of them, 299 (174 RA, 43 OA and 82 healthy controls (HC)) formed the observation group and 342 (all RA) the validation group. RA disease characteristics were collected. RESULTS: ANOVA revealed significant differences between disease groups for BMI (p<0.05) and BF (p<0.001). ANCOVA showed that age accounted for the differences in BMI (F(1,294) = 5.10, p<0.05); age (F(1,293) = 22.43, p<0.001), sex (F(1,293) = 380.90, p<0.001) and disease (F(2, 293) = 18.7, p<0.001) accounted for the differences in BF. For a given BF, patients with RA exhibited BMI levels reduced by 1.83 kg/m(2) (p<0.001) compared to HC; there were no significant differences between OA and HC. A predictive model for BF was developed (R(2) = 0.769, p<0.001) and validated using limits of agreement Analysis against measured BF in the validation group (95%LIM(AG) = 6.17; CV = 8.94). CONCLUSIONS: In individuals with RA, BMI cut-off points should be reduced by 2 kg/m(2) (that is, to 23 kg/m(2) for overweight and 28 kg/m(2) for obesity). The equation developed can be used to accurately predict BF from BMI in RA patients. These findings may be important in the context of the cardiovascular comorbidity of RA.
dc.language.isoen
dc.publisherBMJ Publishing
dc.relation.urlhttp://ard.bmj.com/cgi/content/full/66/10/1316
dc.subject.meshAdipose Tissue
dc.subject.meshAge Factors
dc.subject.meshArthritis, Rheumatoid
dc.subject.meshBody Mass Index
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshObesity
dc.subject.meshOsteoarthritis
dc.subject.meshOverweight
dc.subject.meshPredictive Value of Tests
dc.subject.meshSex Factors
dc.titleRedefining overweight and obesity in rheumatoid arthritis patients
dc.typeJournal article
dc.identifier.journalAnnals of the Rheumatic Diseases
refterms.dateFOA2018-08-21T10:30:24Z
html.description.abstractOBJECTIVES: To assess whether body mass index (BMI) and body fat (BF) differ between rheumatoid arthritis (RA) patients, patients with non-inflammatory arthritis (osteoarthritis, OA) and healthy individuals, and whether disease specific measures of adiposity are required to accurately reflect BF in these groups. METHODS: 641 individuals were assessed for BMI (kg/m(2)) and BF (bioelectrical impedance). Of them, 299 (174 RA, 43 OA and 82 healthy controls (HC)) formed the observation group and 342 (all RA) the validation group. RA disease characteristics were collected. RESULTS: ANOVA revealed significant differences between disease groups for BMI (p<0.05) and BF (p<0.001). ANCOVA showed that age accounted for the differences in BMI (F(1,294) = 5.10, p<0.05); age (F(1,293) = 22.43, p<0.001), sex (F(1,293) = 380.90, p<0.001) and disease (F(2, 293) = 18.7, p<0.001) accounted for the differences in BF. For a given BF, patients with RA exhibited BMI levels reduced by 1.83 kg/m(2) (p<0.001) compared to HC; there were no significant differences between OA and HC. A predictive model for BF was developed (R(2) = 0.769, p<0.001) and validated using limits of agreement Analysis against measured BF in the validation group (95%LIM(AG) = 6.17; CV = 8.94). CONCLUSIONS: In individuals with RA, BMI cut-off points should be reduced by 2 kg/m(2) (that is, to 23 kg/m(2) for overweight and 28 kg/m(2) for obesity). The equation developed can be used to accurately predict BF from BMI in RA patients. These findings may be important in the context of the cardiovascular comorbidity of RA.


Files in this item

Thumbnail
Name:
Stavropoulos et al (2007).pdf
Size:
336.1Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record