Phase angle is related with inflammatory and oxidative stress biomarkers in older women

Tomeleri, Crisieli M.; Cavaglieri, Cláudia Regina; Souza, Mariana Ferreira de; Cavalcante, Edilaine F.; Antunes, Melissa; Nabbuco, Hellen Clair Garcez; Venturini, Danielle; Barbosa, Décio Sabbatini; Silva, Analiza M.; Cyrino, Edílson Serpeloni

doi:10.1016/j.exger.2017.11.019

Cited by 62 publications

(50 citation statements)

References 45 publications

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“…However, these valuable research approaches are not usually practical to apply in the clinical setting. Another measure that relates to ageing and skeletal muscle, phase angle, can be quantified with BIA . Changes in phase angle in otherwise healthy and physically active adults appear to reflect subtle metabolic and structural features of muscle fibres with low phase angle values characteristic of older age .…”

Section: Introductionmentioning

confidence: 99%

“…Another measure that relates to ageing and skeletal muscle, phase angle, can be quantified with BIA. 22,23 Changes in phase angle in otherwise healthy and physically active adults appear to reflect subtle metabolic and structural features of muscle fibres with low phase angle values characteristic of older age. 22 Similarly, B-mode ultrasound can be used to quantify 'echogenicity', a measure thought to represent adipose and connective tissue infiltration into the skeletal muscle compartment.…”

Section: Introductionmentioning

confidence: 99%

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Improved strength prediction combining clinically available measures of skeletal muscle mass and quality

Bourgeois

Fan

Johannsen

et al. 2018

J cachexia sarcopenia muscle

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Background Measures of skeletal muscle function decline at a faster rate with ageing than do indices of skeletal muscle mass. These observations have been attributed to age‐related changes in muscle quality, another functional determinant separate from skeletal muscle mass. This study tested the hypothesis that improved predictions of skeletal muscle strength can be accomplished by combining clinically available measures of skeletal muscle mass and quality. Methods The participants included 146 healthy adult (age ≥ 18 years, range 18–77 years; X ± SD 47 ± 17 years and body mass index 16.5–51.8 kg/m 2 ; 27.7 ± 6.2 kg/m 2 ) men ( n = 60) and women ( n = 86) in whom skeletal muscle mass was estimated as appendicular lean soft tissue (LST) measured by dual‐energy X‐ray absorptiometry and skeletal muscle quality as bioimpedance analysis‐derived phase angle and B‐mode‐evaluated echogenicity of mid‐thigh skeletal muscle. Strength of the right leg and both arms was quantified as knee isokinetic extension and handgrip strength using dynamometers. The statistical significance of adding phase angle or echogenicity to strength prediction multiple regression models that included extremity‐specific LST and other covariates (e.g. age and sex) was evaluated to test the study hypothesis. Results Right leg LST mass alone was significantly ( P < 0.0001) correlated with isokinetic right leg strength ( R 2 = 0.57). The addition of segmental phase angle measured in the right leg at 50 kHz increased the R 2 of this model to 0.66 ( P < 0.0001); other phase angle frequencies (5 and 250 kHz) did not contribute significantly to these models. Results were similar for both right and left arm handgrip strength prediction models. Adding age and sex as model covariates increased the R 2 values of these models further (e.g. right leg strength model R 2 increased to 0.71), but phase angle continued to remain a significant (all P < 0.01) predictor of extremity strength. Similarly, when predicting isokinetic right leg strength, mid‐thigh skeletal muscle echogenicity added significantly ( P < 0.0001) to right leg LST, increasing R 2 from 0.57 to 0.64; age was a significant ( P < 0.0001) covariate in this model, increasing R 2 further to 0.68. Conclusions The hypothesis of the current study was confirmed, strongly supporting and extending earlier reports by quantifying the combined independent effects of skeletal muscle mass and quality on lo...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved strength prediction combining clinically available measures of skeletal muscle mass and quality

Bourgeois

Fan

Johannsen

et al. 2018

J cachexia sarcopenia muscle

View full text Add to dashboard Cite

show abstract

“…Moreover, it was also observed that for each 1° increase in PhA reduced the mortality risk. 66 Even though lean body mass was similar between RTRG and CG, As limitations, it is worth mentioning that this is a cross-sectional study not allowing to infer about cause-and-effect relationships and to evaluate outcomes such as CVD events. 66 Even though lean body mass was similar between RTRG and CG, As limitations, it is worth mentioning that this is a cross-sectional study not allowing to infer about cause-and-effect relationships and to evaluate outcomes such as CVD events.…”

Section: Discussionmentioning

confidence: 90%

“…58 In the general population, an inverse relation between PhA and inflammatory markers was also observed. 66 Even though lean body mass was similar between RTRG and CG, As limitations, it is worth mentioning that this is a cross-sectional study not allowing to infer about cause-and-effect relationships and to evaluate outcomes such as CVD events. Another limitation is that, even though minimized by stratified analysis, men/women distribution between studied groups was different.…”

Section: Considering This Difference Between Groups and The Differencmentioning

confidence: 90%

High abdominal adiposity and low phase angle in overweight renal transplant recipients

Ferreira

Silva

Costa

et al. 2019

Clinical Transplantation

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Obesity is associated with increased risk of cardiovascular disease (CVD). Body mass index (BMI) is the most used parameter for obesity screening. However, the evaluation of CVD risk in overweight individuals should include the assessment of body fat distribution and body composition. Renal transplant recipients (RTR) have a high CVD risk and frequently present weight gain and loss of lean mass. The aim of this study was to evaluate body fat distribution and body composition in overweight RTR. This cross‐sectional study was conducted with 86 RTR and 86 hypertensive individuals (comparison group, CG) presenting BMI 25‐35 Kg/m2 and 45‐70 years. Anthropometric evaluation included BMI, waist circumference, waist‐to‐height ratio, and a body shape index. Body composition was evaluated with bioelectrical impedance analysis (BIA). Glomerular filtration rate was estimated (eGFR) by CKD‐EPI equation. RTR group (RTRG) and CG presented similar age and BMI. RTRG when compared to CG presented lower percentage of women and eGFR; higher central adiposity; and lower values of reactance, intracellular water, body cell mass and phase angle, more consistently observed in women. This study suggests that overweight RTR present higher abdominal adiposity and impairment in BIA parameters that are sensitive indicators of impaired membrane integrity, water distribution, and body cell mass.

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“…Die Mittelwerte für den BMI lagen bei Männern bei 27,4 kg/m 2 (SD 4,4 kg/m 2 ) und bei Frauen bei 26,3 kg/m 2 (SD 5,5 kg/m 2 ), was beides, entsprechend der [25]. Ein Rückgang der fettfreien Masse oder der metabolisch aktiven Muskelzellen kann frühzeitig erkannt und die Integrität der Zellmembranen anhand des sogenannten Phasenwinkels überprüft werden [26,27]. Dieser gilt damit als prognostischer Marker bei chronischen Erkrankungen, Entzündungen oder auch Unterernährung [28,29].…”

Section: Bmi Und üBergewichtunclassified

Anthropometrische Messungen in der NAKO Gesundheitsstudie – mehr als nur Größe und Gewicht

Fischer

Sedlmeier

Hartwig

et al. 2020

Bundesgesundheitsbl

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ZusammenfassungÜbergewicht und Adipositas sind bedeutende Risikofaktoren für verschiedene Erkrankungen. Als Maß zu ihrer Bestimmung wurde in früheren Studien meist nur der Body-Mass-Index (BMI) verwendet. Der BMI ist allerdings ein Marker, der den Einfluss auf das Krankheitsrisiko nur unzureichend erfasst. In groß angelegten, bevölkerungsbasierten Studien besteht daher ein vordringlicher Bedarf, verbesserte Messmethoden der Körperzusammensetzung und -fettverteilung einzusetzen.Der vorliegende Beitrag stellt die in der NAKO (Nationale Kohorte) Gesundheitsstudie eingesetzten Messverfahren zur Beschreibung von Körperzusammensetzung und -fettverteilung und die ersten deskriptiven Ergebnisse vor. Diese beziehen sich auf die Daten zur Halbzeit der Basiserhebung, welche 101.817 Teilnehmende einschließt, die in 18 Studienzentren in Deutschland zwischen März 2014 und März 2017 untersucht worden sind. Die anthropometrischen Messungen umfassten Körpergewicht, Körpergröße und -umfänge, bioelektrische Impedanzanalyse (BIA), Sonographie des Abdominalfettes, 3‑D-Bodyscanner und Magnetresonanztomographie.Die Analyse des BMI zeigte, dass 46,2 % der Männer sowie 29,7 % der Frauen übergewichtig und 23,5 % der Männer und 21,2 % der Frauen adipös waren. Frauen wiesen im Mittel in fast allen Altersgruppen eine höhere Schichtdicke an subkutanem Fettgewebe auf als Männer. Die mittlere Schichtdicke des viszeralen Fettgewebes lag hingegen bei den Männern in allen Altersgruppen über den Werten der Frauen und stieg bei beiden Geschlechtern über die Altersgruppen kontinuierlich an.Die umfassenden Daten über die Körperfettverteilung und -zusammensetzung ermöglichen es zukünftig, den Einfluss von Übergewicht und Adipositas auf die Entstehung von chronischen Erkrankungen im Detail zu analysieren.

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Phase angle is related with inflammatory and oxidative stress biomarkers in older women

Cited by 62 publications

References 45 publications

Improved strength prediction combining clinically available measures of skeletal muscle mass and quality

Improved strength prediction combining clinically available measures of skeletal muscle mass and quality

High abdominal adiposity and low phase angle in overweight renal transplant recipients

Anthropometrische Messungen in der NAKO Gesundheitsstudie – mehr als nur Größe und Gewicht

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