Body composition evaluated by body mass index and bioelectrical impedance vector analysis in women with rheumatoid arthritis

Nutrition ◽  
2018 ◽  
Vol 53 ◽  
pp. 49-53 ◽  
Author(s):  
Juan Antonio Pineda-Juárez ◽  
Mariel Lozada-Mellado ◽  
Midori Ogata-Medel ◽  
Andrea Hinojosa-Azaola ◽  
Cira Santillán-Díaz ◽  
...  
2021 ◽  
Vol 10 ◽  
pp. 216495612110217
Author(s):  
Paweł Więch ◽  
Zdzisława Chmiel ◽  
Dariusz Bazaliński ◽  
Marek Sobolewski ◽  
Izabela Sałacińska

Background Body mass composition is subject to constant change and is multifactorially determined. Its analysis in different age groups allows a better understanding of the determinants of the human organism in health and disease. Aim The study was aimed to conduct cross-sectional assessment of body composition and selected nutritional indicators in healthy adults. Methods The cross-sectional study carried out from March 2016 to April 2018 was preceded by a monthly pilot study. All 1333 adults (women 795, 59.6%) aged 20–59 included in the study were from the urban and rural area of the Podkarpackie Province (Poland). These adults were classified into four 10-year age bands. To obtain reliable assessment, selected screening (anthropometry) and in-depth (bioelectrical impedance including phase angle and bioelectrical impedance vector analysis) methods were used. Results In women, the proportion of individuals affected by overweight and obesity increases significantly with age, with a less pronounced trend in men, as reflected in the observed differences in individual body composition components. A slight (0.45–0.60) correlation was also observed between body mass index (BMI) and percentage of fat mass (FM %) among men with an increasing strength of the association with age, decreasing in the 50–59 years group. In the female group, the correlations described are at a much higher level (0.80 or higher). The described changes in body composition were reflected in body type from athletic to obese, measured by means of the bioelectrical impedance vector analysis (BIVA) method. Conclusions Age and gender significantly differentiate body composition of the adult human body. The body composition analysis should be considered as complement screening assessment method, especially as a support for the assessment of nutritional status expressed by BMI.


2019 ◽  
Vol 30 ◽  
pp. 59-66 ◽  
Author(s):  
Amara Callistus Nwosu ◽  
Catriona R. Mayland ◽  
Stephen Mason ◽  
Trevor F. Cox ◽  
Andrea Varro ◽  
...  

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 484.2-485
Author(s):  
M. Ferro ◽  
S. Charneca ◽  
J. Vasques ◽  
E. Dourado ◽  
C. Sousa Guerreiro ◽  
...  

Background:Rheumatoid arthritis (RA) is a chronic inflammatory disease in which an abnormal body composition was reported to be highly prevalent. (1) Bioelectrical phase angle (PhA) is a measure of the relationship between electric resistance and reactance obtained via bioelectrical impedance analysis (BIA). (2) As an indicator of cellular health, PhA has been described as a predictor of worse clinical outcome and higher mortality in various conditions. (3) Since there is evidence that PhA is related to disease progression and prognosis when considering chronic inflammatory conditions, a lower PhA may also be considered an indicator of a worse prognosis in RA. (1)Objectives:To study the association between PhA, functional status and impact of disease in RA patients.Methods:Observational and cross-sectional study, including 53 patients with RA diagnosis according to the ACR/EULAR 2010 criteria. Each patient demographic data was recorded, and body composition, including PhA by BIA, was obtained. BIA was performed using Bodystat QuadScan 4000 equipment. Functional status and impact of disease were assessed using the Health Assessment Questionnaire (HAQ) and the Rheumatoid Arthritis Impact of Disease (RAID) scores, respectively. PhA was stratified by tertiles (lowest, middle and highest) to create groups of patients. Statistical analysis was performed using student’s t-test (IBM SPSS version 26) for comparisons between groups.Results:A total of 53 patients with RA (81.1% women) with an average age of 62.2 ± 10.2 years were assessed. Mean PhA was 5.8 ± 1.7 °. A PhA lower than 5.2 ° (lowest tertile) was recorded in 17 patients; A PhA ranging from 5.2 ° to 6.0 ° (middle tertile) was observed in 18 patients; A PhA greater than 6.0 ° (highest tertile) was seen in 18 patients. Mean HAQ score was 1.43 ± 0.61 in the lowest tertile, 0.85 ± 0.57 in the middle tertile and 0.67 ± 0.57 in the highest tertile. Mean RAID score was 5.86 ± 1.69 in the lowest tertile, 4.73 ± 2.05 in the middle tertile and 3.00 ± 1.94 in the highest tertile. The statistical analysis showed significant differences in both HAQ and RAID scores between the lowest and the highest tertiles (p=0.001 and p <0.001, respectively). Significant differences were also found between the lowest and the middle tertile for HAQ score (p=0.007) and between the middle and the highest tertile for RAID score (p=0.017).Conclusion:In our cohort a lower PhA was significantly associated with higher HAQ and RAID scores, indicating higher disease impact and higher disability in RA patients with lower PhA. These results support the hypothesis that PhA may be investigated as a possible indicator of disease prognosis in RA.References:[1]Pineda-Juárez JA, Lozada-Mellado M, Ogata-Medel M, Hinojosa-Azaola A, Santillán-Díaz C, Llorente L, et al. Body composition evaluated by body mass index and bioelectrical impedance vector analysis in women with rheumatoid arthritis. Nutrition. 2018;53:49–53.[2]Rinaldi S, Gilliland J, O’Connor C, Chesworth B, Madill J. Is phase angle an appropriate indicator of malnutrition in different disease states? A systematic review. Clin Nutr ESPEN. 2019;29:1–14.[3]Norman K, Stobäus N, Pirlich M, Bosy-Westphal A. Bioelectrical phase angle and impedance vector analysis - Clinical relevance and applicability of impedance parameters. Clin Nutr. 2012;31(6):854–61.Disclosure of Interests:None declared


2005 ◽  
Vol 82 (1) ◽  
pp. 60-68
Author(s):  
Anja Bosy-Westphal ◽  
Sandra Danielzik ◽  
Ralf-Peter Dörhöfer ◽  
Antonio Piccoli ◽  
Manfred J Müller

Nutrition ◽  
2014 ◽  
Vol 30 (5) ◽  
pp. 569-574 ◽  
Author(s):  
Carolina Ferreira Nicoletti ◽  
José Simon Camelo ◽  
José Ernesto dos Santos ◽  
Julio Sergio Marchini ◽  
Wilson Salgado ◽  
...  

2020 ◽  
Vol 39 (2) ◽  
pp. 447-454 ◽  
Author(s):  
Elisabetta Marini ◽  
Francesco Campa ◽  
Roberto Buffa ◽  
Silvia Stagi ◽  
Catarina N. Matias ◽  
...  

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