Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2007 Oct;66(10):1316-21.
doi: 10.1136/ard.2006.060319. Epub 2007 Feb 8.

Redefining overweight and obesity in rheumatoid arthritis patients

Affiliations

Redefining overweight and obesity in rheumatoid arthritis patients

Antonios Stavropoulos-Kalinoglou et al. Ann Rheum Dis. 2007 Oct.

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.

PubMed Disclaimer

Conflict of interest statement

Competing interests: none.

References

    1. Van Pelt R E, Jones P P, Davy K P, DeSouza C A, Tanaka H, Davy B M.et al Regular exercise and the age‐related decline in resting metabolic rate in women. J Clin Endocrinol Metab 1997823208–3212. - PubMed
    1. Ross R. Atherosclerosis—an inflammatory disease. N Engl J Med 1999340115–126. - PubMed
    1. Romero‐Corral A, Montori V M, Somers V K, Korinek J, Thomas R J, Allison T G.et al Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: a systematic review of cohort studies. Lancet 2006368666–678. - PubMed
    1. Pi‐Sunyer F X. The obesity epidemic: pathophysiology and consequences of obesity. Obesity Res 20021097S–104. - PubMed
    1. Krauss R M, Winston M, Fletcher B J, Grundy S M. Obesity: impact on cardiovascular disease. Circulation 1998981472–1476. - PubMed

Publication types