Banca dati di tutte le
In questa sezione potrai accedere a tutti gli studi clinici internazionali realizzati da sempre utilizzando la tecnologia InBody come strumento di analisi della composizione corporea, dello stato nutrizionale e della distribuzione dei fluidi nell’organismo. Effettua ricerche per Area clinica o per Parole chiave, così da velocizzare al massimo il reperimento delle informazioni di tuo interesse.
ABSTRACT Background & aims: Total body water (TBW) is the largest component of fat free mass and therefore is commonly used in multi-compartment body composition models and as a stand-alone method to assess body composition. Previous literature has not validated bioelectrical impedance spectroscopy device estimates of TBW in racial and ethnic minority populations; previous studies… Leggi tutto
Autori: N.M.Blue et al.
Anno: 2023
Rivista: Clinical Nutrition ESPEN
ABSTRACT The measurement of skeletal muscle mass is essential for the diagnosis of sarcopenia. Muscle ultrasonography has emerged as a useful tool for evaluating sarcopenia because it can be used to assess muscle quality and quantity. This study investigated whether muscle ultrasonography is effective for estimating appendicular skeletal muscle mass (ASM) and screening for sarcopenia.… Leggi tutto
Autori: Baek et al.
Anno: 2023
Rivista: PLOS ONE
ABSTRACT Bioelectrical impedance analysis (BIA) is gaining popularity as a tool for body composition assessment. Although BIA has been studied and validated in different populations, age groups, and clinical settings, including critically ill patients, there are concerns about BIA reproducibility and reliability for different device types and postures. This study aimed to evaluate the reliability… Leggi tutto
Autori: Yang et al.
Anno: 2023
Rivista: Life
ABSTRACT Background: Osteoporosis develops in the elderly due to decreased bone mineral density (BMD), potentially increasing bone fracture risk. However, the BMD is not regularly measured in a clinical setting. This study aimed to develop a good prediction model for the osteoporosis risk using a machine learning (ML) approach in adults over 40 years in… Leggi tutto
Autori: Wu et al.
Anno: 2023
Rivista: J Korean Med Sci
Autori: FÜGEDI et al.
Anno: 2023
Rivista: Journal of Physical Education and Sport
Autori: Uchiyama et al.
Anno: 2023
Rivista: Exerc Sport Mov
Autori: R. Hirsch et al.
Anno: 2023
Rivista: Measurement in Physical Education and Exercise Science
ABSTRACT Background: Changes in body composition, especially loss of lean mass, commonly occur in the orthopedic trauma population due to physical inactivity and inadequate nutrition. The purpose of this study was to assess inter-rater and intra-rater reliability of a portable bioelectrical impedance analysis (BIA) device to measure body composition in an orthopedic trauma population after… Leggi tutto
Autori: Koch et al.
Anno: 2022
Rivista: The Iowa orthopaedic journal
ABSTRACT Body composition algorithms are typically validated using multiethnic populations without accounting for ethnicity. This might be problematic when using multifrequency bioimpedance analysis (MF-BIA) for Hispanics. Group error (i.e., constant error [CE]), individual error (i.e., 95% limits of agreement [LOAs]), and proportional bias of MF-BIA were determined in Hispanic men and women (n = 84… Leggi tutto
Autori: Nickerson et al.
Anno: 2022
Rivista: Nutrition Research
ABSTRACT Purpose: This study aimed to develop a linguistically validated Japanese translation of the multidimensional dyspnea profile (MDP) and assess whether worsening of dyspnea’s sensory and affective domains during exercise had detrimental effects on physical activity in stable outpatients with chronic obstructive pulmonary disease (COPD). Materials and methods: The Japanese version of the MDP was… Leggi tutto
Autori: Kanezaki et al.
Anno: 2022
Rivista: International Journal of Chronic Obstructive Pulmonary Disease