2.50
Hdl Handle:
http://hdl.handle.net/2436/22713
Title:
Redefining overweight and obesity in rheumatoid arthritis patients
Authors:
Stavropoulos-Kalinoglou, Antonios; Metsios, Giorgos S.; Koutedakis, Yiannis; Nevill, Alan M.; Douglas, Karen M. J.; Jamurtas, Athanasios Z.; van Zanten, J.; Labib, M.; Kitas, George D.
Abstract:
OBJECTIVES: 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.
Citation:
Annals of the Rheumatic Diseases, 66 (10): 1316-21
Publisher:
BMJ Publishing
Journal:
Annals of the Rheumatic Diseases
Issue Date:
2007
URI:
http://hdl.handle.net/2436/22713
DOI:
10.1136/ard.2006.060319
PubMed ID:
17289757
Additional Links:
http://ard.bmj.com/cgi/content/full/66/10/1316
Type:
Article
Language:
en
ISSN:
0003-4967
Appears in Collections:
Sport, Exercise and Health Research Group; Exercise and Health; Learning and Teaching in Sport, Exercise and Performance

Full metadata record

DC FieldValue Language
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): 1316-21en
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.en
dc.language.isoenen
dc.publisherBMJ Publishingen
dc.relation.urlhttp://ard.bmj.com/cgi/content/full/66/10/1316en
dc.subject.meshAdipose Tissueen
dc.subject.meshAge Factorsen
dc.subject.meshArthritis, Rheumatoiden
dc.subject.meshBody Mass Indexen
dc.subject.meshFemaleen
dc.subject.meshHumansen
dc.subject.meshMaleen
dc.subject.meshMiddle Ageden
dc.subject.meshObesityen
dc.subject.meshOsteoarthritisen
dc.subject.meshOverweighten
dc.subject.meshPredictive Value of Testsen
dc.subject.meshSex Factorsen
dc.titleRedefining overweight and obesity in rheumatoid arthritis patientsen
dc.typeArticleen
dc.identifier.journalAnnals of the Rheumatic Diseasesen

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