Making the invisible visible: bioelectrical impedance analysis demonstrates unfavourable body composition in rheumatoid arthritis patients in clinical practice

Konijn, N.; Tuyl, Lilian H D van; Bultink, Irene E. M.; Lems, Willem F.; Earthman, Carrie P.; Schueren, Marian A.E. de van der

doi:10.3109/03009742.2013.852239

Cited by 23 publications

(12 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The BMI was used with WHO definitions for underweight, overweight and obesity; however, it does not measure adipose tissue. The body composition might be more precisely represented by waist circumference, dual-energy X-ray absorptiometry, and fat mass indexes using bioelectrical impedance [ 5 , 20 ]. We selected the BMI as a surrogate for obesity and underweight as it was obtained in all arthritis cohorts and in the reference group.…”

Section: Discussionmentioning

confidence: 99%

Body mass index distribution in rheumatoid arthritis: a collaborative analysis from three large German rheumatoid arthritis databases

et al. 2016

View full text Add to dashboard Cite

BackgroundMETARTHROS (Metabolic impact on joint and bone disease) is a nationwide German network to investigate the overlap between inflammatory and metabolic diseases. The objective of this study was to compare the body mass index (BMI) distribution in patients with early and established rheumatoid arthritis (RA) with data from the general population, and to evaluate the association of BMI with patient characteristics and clinical markers.MethodsThe BMI distribution was examined with data collected at inclusion of patients in the early arthritis cohort CAPEA, the biologics register RABBIT, and the National database of the German Collaborative Arthritis Centers. A data source with a representative sample of the German population (German Ageing Survey) was used as a comparator. BMI categories of <18.5 kg/m2 (underweight), 18.5 to <25 kg/m2 (normal weight), 25 to <30 kg/m2 (overweight), and ≥30 kg/m2 (obese) were used. Patients were stratified by age and sex, and compared to controls from the German Ageing Survey. Associations between BMI and markers of disease activity were analysed with non-parametric tests and linear models.ResultsData from 1207 (CAPEA), 12,230 (RABBIT), and 3424 (National database) RA patients and 6202 population controls were evaluated. The mean age was 56, 56, 62, and 62 years, respectively, the mean disease duration was 13 weeks, 9.9 years, and 13.5 years, respectively, and the mean disease activity score (DAS28) was 5.1, 5.2, and 3.1, respectively. In all RA cohorts, obesity was more frequent (23.8 %, 23.4 %, 21.4 %, respectively) than in controls (18.2 %). This applied to all age groups <70 years, was independent of disease duration, and was more pronounced in females. In all cohorts, the age at RA onset was associated with BMI, being higher in overweight/obese patients compared to normal-weight patients. Current smoking was negatively associated with BMI. Linear analyses revealed increased erythrocyte sedimentation rate (ESR) values in underweight and obese females, and an increasing disparity between tender joint counts (TJCs) and swollen joint counts (SJCs) in higher BMI categories.ConclusionsCompared to the general population, a higher prevalence of obesity was observed in all RA cohorts. The dominance of obesity in females and the different behaviour of disease activity markers in relation to the BMI in females indicate that additional parameters need to be considered when analysing the impact of obesity on inflammation in RA.Electronic supplementary materialThe online version of this article (doi:10.1186/s13075-016-1043-9) contains supplementary material, which is available to authorized users.

show abstract

Section: Discussionmentioning

confidence: 99%

Body mass index distribution in rheumatoid arthritis: a collaborative analysis from three large German rheumatoid arthritis databases

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Additionally, a recent study on the Canadian elderly showed that the body fat percentage was 26.5% in men and 40.2% in women ( McIntosh, Smale, & Vallis, 2013 ). Moreover, in Amsterdam, 74% of elderly people had high and very high FMI ( Konijn et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Relation between Lifestyle and Socio-Demographic Factors and Body Composition among the Elderly

Zeinali¹,

Habibi²,

Samadi³

et al. 2015

GJHS

View full text Add to dashboard Cite

Background:Aging is accompanied by various changes that can cause changes in diet and body composition resulting sometimes in malnutrition and disability in the elderly. Changes in body composition among the elderly are mainly the result of physical inactivity and nutrition. This study was designed to examine the relationship between lifestyle and socio-demographic factors and body composition.Method:A cross-sectional study was carried out with 380 elderly people aged 60 and over in district 5 of Tehran, Iran. Their body composition was measured by Bioelectrical Impedance Analysis and the Actigraph device was used for assessing physical activity patterns. A three-day food recall was conducted to measure their intake of energy and macronutrients. Lifestyle and socio-demographic information were collected by interview using a pretested questionnaire.Results:Overweight, obesity and central obesity were more prevalent in women than in men (p<0.001). Moreover, 57.1% and 18.7% of participants had high and very high fat mass index, respectively. High fat mass index was seen in 47% of men and 37.5% of women who had normal body mass index (BMI). Meanwhile, age, gender, physical activity, energy intake, the percentage of energy from fat and protein, educational level, job, television watching time, smoking, chronic diseases, and taking medicine were significantly associated with anthropometric measurements (p<0.05).Conclusion:Overweight, obesity and high body fat percentage were common among the aged. Considering the factors that are significantly associated with body composition, programs that can increase their awareness about the dietary balance and suitable physical activity should be organized to address these problems.

show abstract

“…BMI is also an inadequate detector of LM loss: in a case-control study, BMI was unable to detect rheumatoid cachexia as assessed by DXA in 26% of women and 21% of men [16]. In a cohort of patients with moderately active disease, 44% of women with a normal BMI had low fat-free mass index (FFMI), while 40% of women and 75% of men in the normal BMI category had high or very high fat mass index (FMI) [17]. Despite these limitations, BMI is related to several outcomes in RA, and patients with BMI < 18.5 show the highest CV risk [18] and highest rates of erosive disease [19].…”

Section: Body Composition In Rheumatoid Arthritismentioning

confidence: 96%

Cachexia and adiposity in rheumatoid arthritis. Relevance for disease management and clinical outcomes

et al. 2016

View full text Add to dashboard Cite

Making the invisible visible: bioelectrical impedance analysis demonstrates unfavourable body composition in rheumatoid arthritis patients in clinical practice

Cited by 23 publications

References 23 publications

Body mass index distribution in rheumatoid arthritis: a collaborative analysis from three large German rheumatoid arthritis databases

Body mass index distribution in rheumatoid arthritis: a collaborative analysis from three large German rheumatoid arthritis databases

Relation between Lifestyle and Socio-Demographic Factors and Body Composition among the Elderly

Cachexia and adiposity in rheumatoid arthritis. Relevance for disease management and clinical outcomes

Contact Info

Product

Resources

About