The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases

Khalil, Sami F.; Mohktar, Mas S.; Ibrahim, Fatimah

doi:10.3390/s140610895

Cited by 520 publications

(382 citation statements)

References 129 publications

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“…BIA analysis is a useful non-invasive method for assessing skeletal muscle mass in a large population-based study, but several factors (mainly related to hydration status) can affect BIA results, including age, obesity, consumption of food or beverages, and intensity of exercise [36,37]. In older adults, BIA can overestimate body fat possibly because of variations in fatfree mass mineralisation during normal ageing [38].…”

Section: Discussionmentioning

confidence: 99%

Low muscle mass and risk of type 2 diabetes in middle-aged and older adults: findings from the KoGES

et al. 2017

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Aims/hypothesis Asians have a propensity to develop type 2 diabetes with a lower BMI than Western populations. This discrepancy may be due to differences in body fat and muscle mass for a given BMI. However, unlike adiposity, it is unclear whether muscle mass affects the risk of type 2 diabetes in Asian populations. Methods We conducted a 2-yearly prospective assessment of 6895 participants who were free of diabetes at the baseline examination as part of the Korean Genome Epidemiology Study. The muscle mass index (MMI) was defined as the weightadjusted appendicular skeletal muscle mass. Using Cox regression models, we evaluated the association between MMI and the risk of developing type 2 diabetes across sex-specific tertiles of MMI. Low muscle mass was defined as the sex-specific lowest tertile of MMI. Main covariates included age, sex, urban or rural residence, family history of diabetes, hypertension, smoking status, education level, monthly income, physical activity, alcohol consumption and diet. In addition, body fat mass, waist circumference and BMI were controlled as categorical variables. Obesity was defined as a BMI of ≥25 kg/m 2 or a waist circumference of ≥90 cm for men and ≥85 cm for women. Results During a median follow-up of 9.06 years, 1336 participants developed type 2 diabetes. At baseline, the mean age was 52.1 years and the mean BMI was 24.4 kg/m 2 . The mean MMI for men and women was 32.1% and 26.0%, respectively. There was an inverse association between MMI and the risk of type 2 diabetes. Multivariate-adjusted HRs for the risk of developing type 2 diabetes were 2.05 (95% CI 1.73, 2.43), 1.39 (95% CI 1.17, 1.66) and 1.0 from the lowest to highest sex-specific MMI tertile, with an HR of 1.35 (95% CI 1.26, 1.45) per SD decline in MMI. Further adjustments for fat mass, waist circumference and BMI as categorical variables did not modify the relationship (each p < 0.01). In BMI-stratified analyses, the population-attributable fraction of the lowest tertile of MMI for developing type 2 diabetes was increased by 11.9% in the nonobese group and 19.7% in the obese group. Conclusions/interpretation Low muscle mass as defined by MMI was associated with an increased risk of type 2 diabetes, independent of general obesity, in middle-aged and older Korean adults.

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Section: Discussionmentioning

confidence: 99%

Low muscle mass and risk of type 2 diabetes in middle-aged and older adults: findings from the KoGES

et al. 2017

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“…TBW is the major compound of FFM that helps the flow of electrical current due to the conductivity of electrolytes dissolved in body water (Khalil et al, 2014).…”

Section: Analysis Of Human Body Compositionmentioning

confidence: 99%

Electrical impedance spectroscopy (EIS) for biological analysis and food characterization: a review

Grossi

Riccò

2017

J. Sens. Sens. Syst.

311

160

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Abstract. Electrical impedance spectroscopy (EIS), in which a sinusoidal test voltage or current is applied to the sample under test to measure its impedance over a suitable frequency range, is a powerful technique to investigate the electrical properties of a large variety of materials. In practice, the measured impedance spectra, usually fitted with an equivalent electrical model, represent an electrical fingerprint of the sample providing an insight into its properties and behavior. EIS is used in a broad range of applications as a quick and easily automated technique to characterize solid, liquid, semiliquid, organic as well as inorganic materials. This paper presents an updated review of EIS main implementations and applications.

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“…The technical and mathematical bases of the method are described in depth by Khalil and Al. [4]. Body water content is widely measured by this method because it has been verified as a suitable method.…”

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confidence: 99%

A Comparison of Body Composition, Residual Biological Function and Dialytic Treatment of 20 Males and 19 Females Undergoing Chronic Peritoneal Dialysis

Ruggieri¹

2018

World Journal of Research and Review

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The Theory and Fundamentals of Bioimpedance Analysis in Clinical Status Monitoring and Diagnosis of Diseases

Cited by 520 publications

References 129 publications

Low muscle mass and risk of type 2 diabetes in middle-aged and older adults: findings from the KoGES

Low muscle mass and risk of type 2 diabetes in middle-aged and older adults: findings from the KoGES

Electrical impedance spectroscopy (EIS) for biological analysis and food characterization: a review

A Comparison of Body Composition, Residual Biological Function and Dialytic Treatment of 20 Males and 19 Females Undergoing Chronic Peritoneal Dialysis

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