Publications

2022

Norman K., Herpich C., Müller-Werdan U.

Reviews in Endocrine and Metabolic Disorders

This review summarizes the current evidence linking phase angle to geriatric syndromes such as malnutrition, sarcopenia, and frailty. However, low phase angle is not related to a precise pathology but is a useful index in clinical diagnosis.

2021

Stagi S., Moroni A., Micheletti Cremasco M., Marini E.

International journal of environmental research and public health

Bioimpedance Vector Analysis (BIVA) shows greater symmetry of body composition in active subjects than controls, suggesting a beneficial effect of exercise in adult and elderly subjects.

2022

Campa F., Colognesi L., Moro T., Paoli A., Casolo A., Santos L., Correia R., Lemes Í., Milanez V., Christofaro D., Cyrino E., Gobbo L.

Reviews in Endocrine and Metabolic Disorders

This meta-analysis shows that endurance training leads to an increase in phase angle (PhA) values, caused by an increase in Xc with a concomitant decrease in R. According to vector bioimpedance analysis (BIVA), individuals who trained obtained a leftward shift of the vector, whereas inactivity induced a rightward shift of the vector within the R-Xc graph.

2015

Sergi G., De Rui M., Veronese N., Bolzetta F., Berton L., Carraro S., Bano G., Coin A., Manzato E., Perissinotto E.

Clinical Nutrition

This study presents a new equation that has been validated against DXA and allows a valid estimation of ASMM in older Caucasian adults. The equation is: ASMM(kg) = -3.964 + (0.227*RI) + (0.095*weight) + (1.384*sex) + (0.064*Xc) [R2 = 0.92 and SEE = 1.14 kg].

2010

Rösler A., Lehmann F., Krause T., Wirth R., von Renteln-Kruse W.

Archives of Gerontology and Geriatrics

This study assesses the effectiveness of BIA in evaluating the nutritional and water status of elderly individuals. The results indicate a strong correlation with standard clinical tests for community patients, but a weak agreement in the evaluation of hospitalized geriatric patients.

2019

Bernabeu-Wittel M., González-Molina Á., Fernández-Ojeda R., Díez-Manglano J., Salgado F., Soto-Martín M., Gómez-Salgado J.

Journal of clinical medicine

The evaluation of Skeletal Muscle Mass through bioimpedance analysis in polypathological patients allows early detection and management of sarcopenia and frailty, reducing the rate of mortality and functional decline.

2017

Scafoglieri A., Clarys J. P., Bauer J. M., Verlaan S., Van Malderen L., Vantieghem S.

Clinical Nutrition

The multicentric study conducted on 380 elderly patients with functional decline validates a new set of equations for estimating appendicular lean mass (ALM) [R2 = 0.90 and SEE = 1.28 kg] and appendicular fat mass (AFM) [R2 = 0.73 and SEE = 1.54 kg]. The prediction model proposed shows a high concordance with the benchmark method DEXA (r = 0.82, P < 0.0001).

2017

De Rui M., Veronese N., Bolzetta F., Berton L., Carraro S., Bano G., Manzato E.

Clinical Nutrition

The study conducted on over 200 Caucasian patients over the age of 60 proposes new equations for estimating limb lean mass in the elderly which can be used to monitor muscular deterioration in the limbs and to assess the efficacy of nutritional and rehabilitation programmes.