Body composition determination by bioimpedance: an update

Jaffrin, Michel Y.

doi:10.1097/mco.0b013e32832da22c

Cited by 138 publications

(98 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Since only water is able to conduct the current, total body impedance is a measure of total body water. If water is assumed to be a constant part of the lean body mass, then bioelectrical impedance can be predictive of lean body (fat-free) mass (8,32,33). Fluid imbalances are a significant limitation to the use of BIA in clinical evaluation.…”

Section: Discussionmentioning

confidence: 99%

Body composition in patients with rheumatoid arthritis is not different than healthy subjects

et al. 2014

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Body composition in patients with rheumatoid arthritis is not different than healthy subjects

et al. 2014

View full text Add to dashboard Cite

“…These proxies of body fat are related to clinical health outcomes (1,7) . More sophisticated measures of body composition, such as bioimpedance measurements, are also used to assess body fat and fat-free mass (8) . However, in large population-based studies or studies in remote settings, neither option is feasible.…”

mentioning

confidence: 99%

Validation of self-reported figural drawing scales against anthropometric measurements in adults

Dratva

Bertelsen

Janson

et al. 2016

Public Health Nutr.

View full text Add to dashboard Cite

Objective: The aim of the present study was to validate figural drawing scales depicting extremely lean to extremely obese subjects to obtain proxies for BMI and waist circumference in postal surveys. Design: Reported figural scales and anthropometric data from a large populationbased postal survey were validated with measured anthropometric data from the same individuals by means of receiver-operating characteristic curves and a BMI prediction model. Setting: Adult participants in a Scandinavian cohort study first recruited in 1990 and followed up twice since. Subjects: Individuals aged 38-66 years with complete data for BMI (n 1580) and waist circumference (n 1017). Results: Median BMI and waist circumference increased exponentially with increasing figural scales. Receiver-operating characteristic curve analyses showed a high predictive ability to identify individuals with BMI > 25·0 kg/m 2 in both sexes. The optimal figural scales for identifying overweight or obese individuals with a correct detection rate were 4 and 5 in women, and 5 and 6 in men, respectively. The prediction model explained 74 % of the variance among women and 62 % among men. Predicted BMI differed only marginally from objectively measured BMI. Conclusions: Figural drawing scales explained a large part of the anthropometric variance in this population and showed a high predictive ability for identifying overweight/obese subjects. These figural scales can be used with confidence as proxies of BMI and waist circumference in settings where objective measures are not feasible. The obesity epidemic has drawn attention to the role of metabolic factors in the aetiology of non-communicable diseases. Considerable evidence points to the adverse impact of obesity on cardiometabolic and respiratory diseases (1,2) . Obesity's adverse effect may be related to metabolic and inflammatory pathways (3,4) and/or actual weight of body fat (5,6) . In clinical and epidemiological studies, BMI or waist-to-hip ratio is most commonly used to define anthropometric status. These proxies of body fat are related to clinical health † C Svanes and FG Real share last authorship.

show abstract

“…Moreover, skeletal muscle mass by bioelectrical impedance analyzer, a relatively simple, quick, and noninvasive method, was found to be reasonably accurate compared with dual X-ray absorptiometry in a healthy population. 26 Third, we did not assess skeletal muscle function, which may affect the relationship described herein. Fourth, information on activity levels was self-reported.…”

Section: Discussionmentioning

confidence: 99%

Relationship Between Low Relative Muscle Mass and Coronary Artery Calcification in Healthy Adults

Chang

Jung

et al. 2016

ATVB

View full text Add to dashboard Cite

Objective-Sarcopenia or low muscle mass is related to cardiovascular risk factors; however, the association between low muscle mass and subclinical atherosclerosis has been largely unexplored. We investigated whether muscle mass is related to coronary artery calcification (CAC) in a large sample of middle-aged asymptomatic adults. Approach and Results-We performed a cross-sectional study of 31 108 asymptomatic adults without cancer, diabetes mellitus, or known cardiovascular disease who underwent a health checkup examination including cardiac tomography estimation of CAC scores between 2012 and 2013. Skeletal muscle mass index (SMI) [SMI (%)=total skeletal muscle mass (kg)/body weight (kg)×100] was estimated using a bioelectrical impedance analyzer. We assessed the relationship between SMI and CAC scores using both multivariate-adjusted Tobit models and multinomial logistic regression models. Of the 31 108 subjects, 3374 subjects (10.9%) had a CAC score 1 to 100, and 628 subjects (2.0%) had a CAC score >100. SMI was inversely associated with CAC score ratios. Specifically, in a multivariable-adjusted model adjusting for potential confounders, CAC score ratios (95% confidence intervals) of SMI for quartiles 1, 2, and 3 compared with quartile 4 were 2.27 (1.70-3.05), 1.46 (1.15-1.85), and 1.24 (0.98-1.55), respectively (P for trend <0.001). Adjusting for insulin resistance reduced the magnitude of the associations, but they remained statistically significant. Conclusions-Relative muscle mass was negatively associated with the prevalence of coronary calcification, supporting low muscle mass as an independent risk factor of coronary heart disease. Materials and MethodsMaterials and Methods are available in the online-only Data Supplement. ResultsBaseline characteristics of study subjects according to quartiles of skeletal muscle mass index (SMI) are described in subjects were 41.3 years (7.5), 24.2 kg/m 2 (3.1), and 42.2% (3.8), respectively. Of the 31 108 subjects, 4000 (12.9%) had class I sarcopenia and 749 subjects (2.4%) had class II sarcopenia. The prevalence of current smoker status, hypertension, obesity, class I and class II sarcopenic obesity were 27.2%, 14.8%, 37.0%, 10.0%, and 2.3%, respectively. The factors that were negatively associated with SMI were age, body mass index, blood pressure, glucose, uric acid, total cholesterol, low-density lipoprotein cholesterol, triglycerides, alanine aminotransferase, γ-glutamyltransferase, high-sensitivity C-reactive protein (CRP), homeostasis model assessment of insulin resistance (HOMA-IR), CAC score, high alcohol consumption, hypertension, and use of dyslipidemia medication. Conversely, education level, high-density lipoprotein cholesterol, and physical activity level (health-enhancing physically active) were positively associated with SMI. Of the 31 108 subjects, 3374 subjects (10.9%) had a CAC score 1 to 100 and 628 subjects (2.0%) had a CAC score >100. CAC scores increased with increasing sarcopenia class (P value <0.001). The mean CAC scores of subjects with...

show abstract

Body composition determination by bioimpedance: an update

Abstract: Body composition by bioimpedance is gaining acceptance in nutrition, hemodialysis, gerontology and sports medicine. Body fat analyzers that have been validated by comparison with dual x-ray absorptiometry could be useful to general practitioners, nutritionists and cardiologists.

Cited by 138 publications

References 37 publications

Body composition in patients with rheumatoid arthritis is not different than healthy subjects

Body composition in patients with rheumatoid arthritis is not different than healthy subjects

Validation of self-reported figural drawing scales against anthropometric measurements in adults

Relationship Between Low Relative Muscle Mass and Coronary Artery Calcification in Healthy Adults

Contact Info

Product

Resources

About