EXTENDED REPORTS

Redefining overweight and obesity in rheumatoid arthritis patients

Antonios Stavropoulos-Kalinoglou^1,2, Giorgos S Metsios^1,2, Yiannis Koutedakis^3,4, Alan M Nevill¹, Karen M Douglas², Athanasios Jamurtas³, Jet J C S Veldhuijzen van Zanten⁵, Mourad Labib⁶, George D Kitas^1,2

¹ Research Institute in Healthcare Science, University of Wolverhampton, Walsall, West Midlands, UK
² Department of Rheumatology, Dudley Group of Hospitals NHS Trust, Russell’s Hall Hospital, Dudley, West Midlands, UK
³ Department of Sport and Exercise Science, University of Thessaly, Trikala, Greece
⁴ School of Sport, Performing Arts and Leisure, Wolverhampton University, UK
⁵ School of Sport and Exercise, University of Birmingham, Birmingham, UK
⁶ Department of Chemical Pathology, Dudley Group of Hospitals NHS Trust, Russell’s Hall Hospital, Dudley, West Midlands, UK

Professor George D Kitas, Department of Rheumatology, Dudley Group of Hospitals NHS Trust, Russells Hall Hospital, Dudley, West Midlands, DY1 2HQ, UK; gd.kitas{at}dgoh.nhs.uk

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/m²) 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/m² (p<0.001) compared to HC; there were no significant differences between OA and HC. A predictive model for BF was developed (R² = 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/m² (that is, to 23 kg/m² for overweight and 28 kg/m² 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.

Abbreviations: ANCOVA, analysis of co-variance; ANOVA, analysis of variance; BF, body fat; BMI, body mass index; CHD, coronary heart disease; CVD, cardiovascular disease; DAS, disease activity score; HC, healthy controls; MI, myocardial infarction; LIM_AG, limits of agreement; OA, osteoarthritis; RA, rheumatoid arthritis

Keywords: rheumatoid arthritis; cardiovascular risk; body mass index; body composition; bioelectrical impedance

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