Body composition in older community-dwelling adults with hip fracture: portable field methods validated by dual-energy X-ray absorptiometry

Villani, Anthony; Miller, Michelle; Cameron, Ian D.; Kurrle, Susan; Whitehead, Craig; Crotty, Maria

doi:10.1017/s0007114512003170

Cited by 14 publications

(13 citation statements)

References 49 publications

(76 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 The accuracy of SMM BIA has been confirmed in all but one of these studies. 9 The use of LST as a proxy for SMM is however not without limitation. This is evident from Swiss reference data showing an increase in fat mass index (kg/m 2 ) with advancing age, whereas fat-free mass index (kg/m 2 ) remained fairly constant across age groups.…”

Section: Introductionmentioning

confidence: 65%

Quantification of whole-body and segmental skeletal muscle mass using phase-sensitive 8-electrode medical bioelectrical impedance devices

Jensen²,

et al. 2017

View full text Add to dashboard Cite

Background/Objectives:Bioelectrical impedance analysis (BIA) provides noninvasive measures of skeletal muscle mass (SMM) and visceral adipose tissue (VAT). This study (i) analyzes the impact of conventional wrist-ankle vs segmental technology and standing vs supine position on BIA equations and (ii) compares BIA validation against magnetic resonance imaging (MRI) and dual X-ray absorptiometry (DXA).Subjects/Methods:One hundred and thirty-six healthy Caucasian adults (70 men, 66 women; age 40±12 years) were measured by a phase-sensitive multifrequency BIA (seca medical body composition analyzers 515 and 525). Multiple stepwise regression analysis was used to generate prediction equations. Accuracy was tested vs MRI or DXA in an independent multiethnic population.Results:Variance explained by segmental BIA equations ranged between 97% for total SMMMRI, 91–94% for limb SMMMRI and 80–81% for VAT with no differences between supine and standing position. When compared with segmental measurements using conventional wrist-ankle technology. the relationship between measured and predicted SMM was slightly deteriorated (r=0.98 vs r=0.99, P<0.05). Although BIA results correctly identified ethnic differences in muscularity and visceral adiposity, the comparison of bias revealed some ethnical effects on the accuracy of BIA equations. The differences between LSTDXA and SMMMRI at the arms and legs were sizeable and increased with increasing body mass index.Conclusions:A high accuracy of phase-sensitive BIA was observed with no difference in goodness of fit between different positions but an improved prediction with segmental compared with conventional wrist-ankle measurement. A correction factor for certain ethnicities may be required. When compared with DXA MRI-based BIA equations are more accurate for predicting muscle mass.

show abstract

Section: Introductionmentioning

confidence: 65%

Quantification of whole-body and segmental skeletal muscle mass using phase-sensitive 8-electrode medical bioelectrical impedance devices

Jensen²,

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Villani et al [24] evaluated the agreement degree between DXA and bioelectrical impedance spectroscopy (BIS) associated to corrected arm muscle area (CAMA). No significant changes (p = 0.78) were found when comparing fat-free mass (FFM) with BIS (FFMBIS) to FFM with DXA (FFMDXA) mean bias.…”

Section: The Diagnosis Of Sarcopenia In Patients Affected By Hip Fracmentioning

confidence: 99%

Diagnosis, Treatment and Prevention of Sarcopenia in Hip Fractured Patients: Where We Are and Where We Are Going: A Systematic Review

Testa

Vescio

Zuccalà

et al. 2020

JCM

View full text Add to dashboard Cite

Background: Sarcopenia is defined as a progressive loss of muscle mass and muscle strength associated to increased adverse events, such as falls and hip fractures. The aim of this systematic review is to analyse diagnosis methods of sarcopenia in patients with hip fracture and evaluate prevention and treatment strategies described in literature. Methods: Three independent authors performed a systematic review of two electronic medical databases using the following inclusion criteria: Sarcopenia, hip fractures, diagnosis, treatment, and prevention with a minimum average of 6-months follow-up. Any evidence-level studies reporting clinical data and dealing with sarcopenia diagnosis, or the treatment and prevention in hip fracture-affected patients, were considered. Results: A total of 32 articles were found. After the first screening, we selected 19 articles eligible for full-text reading. Ultimately, following full-text reading, and checking of the reference list, seven articles were included. Conclusions: Sarcopenia diagnosis is challenging, as no standardized diagnostic and therapeutic protocols are present. The development of medical management programs is mandatory for good prevention. To ensure adequate resource provision, care models should be reviewed, and new welfare policies should be adopted in the future.

show abstract

“…As an old method, anthropometry has been extensively applied since it was first reported in 1998 by Baumgartner et al, who developed equations for estimating ASM and screening sarcopenia . The use of this method in populations with different ethnicities, health conditions or illnesses is reported to have a high R 2 and small SEE.…”

Section: Discussionmentioning

confidence: 99%

“…As an old method, anthropometry has been extensively applied since it was first reported in 1998 by Baumgartner et al, 3 who developed equations for estimating ASM and screening sarcopenia. [15][16][17][18][19][20]22,26,27 The use of this method in populations with different ethnicities, health conditions or illnesses is reported to have a high R 2 and small SEE. However, almost all authors have suggested that the equation applies only to the population that developed it, and validation in other populations leads to clinically unacceptable bias.…”

Section: Discussionmentioning

confidence: 99%

“…A major strength of this study is that we developed two anthropometric predictive equations to estimate ASM in a knee osteoarthritis population (Equation The limitation of this study was that it did not include variables (eg waist circumference, thigh circumference, skinfold thickness in all limbs, quadriceps femoral muscle strength and corrected arm muscle area 27 ), which allowed for comparisons with the equations developed by other studies and may increase the accuracy of the models. However, including numerous variables will also increase the complexity of the equations and affect clinical application.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of appendicular skeletal muscle: Development and validation of anthropometric prediction equations in Chinese patients with knee osteoarthritis

Chen

Jin

et al. 2019

Australas J Ageing

View full text Add to dashboard Cite

Objective To develop anthropometric prediction equations for estimating appendicular skeletal muscle (ASM) in Chinese knee osteoarthritis patients. Methods Subjects were divided into the model development group (MD group: 104 cases, 47 men and 57 women) and cross‐validation group (CV group: 69 cases, 38 men and 31 women). Stepwise multiple linear regression analyses were undertaken in the MD group to identify the best equations. Agreement between the estimated ASM and ASM measured by dual‐energy X‐ray absorptiometry (DXA) was tested in the CV group. Results Two models were developed in the MD group. Validation in the CV group showed that our models (R2 = 0.83 and R2 = 0.90) had a high coefficient of determination. The mean bias of ASM estimated by the two models from the ASM measured by DXA in the CV group showed no significant difference (P > 0.05). Conclusion These models could be useful for older Chinese patients with knee osteoarthritis to estimate ASM.

show abstract

Body composition in older community-dwelling adults with hip fracture: portable field methods validated by dual-energy X-ray absorptiometry

Cited by 14 publications

References 49 publications

Quantification of whole-body and segmental skeletal muscle mass using phase-sensitive 8-electrode medical bioelectrical impedance devices

Quantification of whole-body and segmental skeletal muscle mass using phase-sensitive 8-electrode medical bioelectrical impedance devices

Diagnosis, Treatment and Prevention of Sarcopenia in Hip Fractured Patients: Where We Are and Where We Are Going: A Systematic Review

Estimation of appendicular skeletal muscle: Development and validation of anthropometric prediction equations in Chinese patients with knee osteoarthritis

Contact Info

Product

Resources

About