Bioimpedance analysis as a promising screening technology in children

Vrach ◽  
2021 ◽  
Vol 32 (7) ◽  
pp. 32-37
Author(s):  
Yu. Samoilova ◽  
D. Podchinenova ◽  
D. Kudlay ◽  
O. Oleynik ◽  
M. Matveeva ◽  
...  
2015 ◽  
Vol 30 (suppl_3) ◽  
pp. iii619-iii620
Author(s):  
Ruta Vaiciuniene ◽  
Irmante Stramaityte ◽  
Edita Ziginskiene ◽  
Vytautas Kuzminskis ◽  
Inga Arune Bumblyte

Author(s):  
Robabeh Abedini ◽  
Mohammad Taghi Najafi ◽  
Arghavan Azizpour ◽  
Maryam Nasimi ◽  
Maryam Bahadori ◽  
...  

2014 ◽  
Vol 8 (5) ◽  
pp. e511-e512
Author(s):  
Adam D. Tarnoki ◽  
David L. Tarnoki ◽  
Gyorgy Baffy

Meat Science ◽  
2021 ◽  
pp. 108644
Author(s):  
Anderson B. Moro ◽  
Yuri R. Montanholi ◽  
Diego B. Galvani ◽  
Pedro Bertemes-Filho ◽  
Rafael S. Venturini ◽  
...  

Author(s):  
Alex Orchard ◽  
Sumsum P. Sunny ◽  
Amritha Suresh ◽  
Praveen Birur ◽  
Moni Kuriakose ◽  
...  

2004 ◽  
Vol 22 (3) ◽  
pp. 301-306 ◽  
Author(s):  
Jos van de Kerkhof ◽  
Marc Hermans ◽  
Charles Beerenhout ◽  
Constantijn Konings ◽  
Frank M. van der Sande ◽  
...  

2020 ◽  
Vol 49 ◽  
Author(s):  
D. P. Kurmayev ◽  
S. V. Bulgakova ◽  
N. O. Zakharova

Rationale: The progressive decline in skeletal muscle strength and function during aging can lead to disability and premature death. It is of interest to evaluate the potential of bioimpedance phase angle (PhA) as an instrumental marker of sarcopenia in clinical practice.Aim: To identify an association between the phase angles determined by the bioimpedance analysis of body composition, with functional activity parameters in elderly women with multiple comorbidities.Materials and methods: The study included 146  elderly women (aged 75 to 84  years, mean age 79.44±2.56  years). Assessments consisted of the Charlson comorbidity index, “Vozrast ne pomekha” (Age is not a hindrance) questionnaire, the Barthel index, the sit-to-stand five-repeat test, the standardized 4-meter walking speed test, and bioimpedance analysis of body composition (ABC02, Medass, Russia). Muscle strength parameters were assessed by wrist dynamometry with a mechanical wrist dynamometer. The hand dynamometry index was calculated by dividing the hand grip strength by the patient's squared height. According to the EWGSOP2 guidelines for the critical cur-off for hand dynamometry, the patients were divided into two groups: those with the hand grip strength>16 kg (n=41) and those with<16 kg (n=105).Results: There were significant correlations of PhA with age (r=-0.369; p=0.017), the results of the screening questionnaire “Vozrast ne pomekha” (Age is not a hindrance) (r=-0.359; p=0.023), Barthel index (r=0.375; p=0.018), hand dynamometry (r=0.395; p=0.014), hand dynamometry index (r=0.340; p=0.021), lean body mass (r=0.414; p=0.009), musculoskeletal mass (r=0.819; p<0.001), proportion of musculoskeletal mass (r=0.796; p<0.001), walking speed (r=0.670; p<0.001), and the results of the sit-to-stand test (r=-0.541; p<0.001). Sarcopenia was diagnosed in 61 women (41.8%). There were also significant differences in age, hand dynamometry results, hand dynamometry index, walking speed and results of the sit-to-stand test between the two groups depending on their hand grip strength.Conclusion: The use of hand dynamometry, physical activity tests, and bioimpedance phase angle can be used in clinical practice to diagnose sarcopenia.


1991 ◽  
Vol 261 (1) ◽  
pp. E103-E108 ◽  
Author(s):  
R. N. Pierson ◽  
J. Wang ◽  
S. B. Heymsfield ◽  
M. Russell-Aulet ◽  
M. Mazariegos ◽  
...  

A systematic study of 389 normal Caucasians stratified for sex and age compared all of the traditional methods for measuring fat: body water, underwater weighing, body potassium, and anthropometrics and the newer methods of dual-photon absorptiometry, bioimpedance analysis, and total body electrical conductivity. Measurements by all methods are highly intercorrelated, but methods differences show the population means for fat percent to range from 26 to 35% of body weight across eight methods. All methods show increasing fat (as % body weight) with age in both sexes but vary in secular slope. The goal of this report is to provide direct translations between each of the eight methods. Intermethod comparison equations are given as simple linear regressions by using each method both as dependent and independent variable for each sex, permitting translation for results by any method to any other.


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