Bioelectrical impedance analysis (BIA) for sarcopenic obesity (SO) diagnosis in young female subjects Bioelectrical impedance analysis (BIA) for sarcopenic obesity (SO) diagnosis in young female subjects (original) (raw)
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Clinical Interventions in Aging, 2012
The aim of this paper is to investigate whether bioelectrical impedance vector analysis (BIVA) can be a suitable technique for the assessment of sarcopenia. We also investigate the potential use of specific BIVA as an indicator of sarcopenic obesity. Subjects and methods: The sample comprised 207 free-living elderly individuals of both sexes, aged 65 to 93 years. Anthropometric and bioelectrical measurements were taken according to standard criteria. The "classic" and "specific" BIVA procedures, which respectively correct bioelectrical values for body height and body geometry, were used. Dual energy X-ray absorptiometry (DXA) was used as the reference method for identifying sarcopenic and obese sarcopenic individuals. Bioelectrical and DXA values were compared using Student's t-test and Hotelling's T 2 test, as well as Pearson's correlation coefficient. Results: According to classic BIVA, sarcopenic individuals of both sexes showed higher values of resistance/height (R/H; p , 0.01) and impedance/height (Z/H; p , 0.01), and a lower phase angle (p , 0.01). Similarly, specific BIVA showed significant differences between sarcopenic and nonsarcopenic individuals (men: T 2 = 15.7, p , 0.01; women: T 2 = 10.7, p , 0.01), with the sarcopenic groups showing a lower specific reactance and phase angle. Phase angle was positively correlated with the skeletal muscle mass index (men: r = 0.52, p , 0.01; women: r = 0.31, p , 0.01). Specific BIVA also recognized bioelectrical differences between sarcopenic and sarcopenic obese men (T 2 = 13.4, p , 0.01), mainly due to the higher values of specific R in sarcopenic obese individuals. Conclusion: BIVA detected muscle-mass variations in sarcopenic individuals, and specific BIVA was able to discriminate sarcopenic individuals from sarcopenic obese individuals. These procedures are promising tools for screening for presarcopenia, sarcopenia, and sarcopenic obesity in routine practice.
Bagcilar Medical Bulletin, 2022
Objective: Body mass index (BMI) is often used to diagnose obesity, although it has the disadvantage of not being able to reveal body fat content. Our study aimed (1) to evaluate the obesity status using BMI and body fat percentage (BF BIA %) determined by bioelectric impedance analysis (BIA) method among women aged 20-60 years who were admitted the outpatient nutrition clinic, and (2) to evaluate the relationship between BMI and BF BIA %. Method: This study enrolled 100 women aged 20-60 years. It was a descriptive study. The study data and the BF BIA % values were obtained from outpatient BMI data recorded between October 2020 and November 2020. BMI was calculated using body weight (kg) and body height (m 2). The prevalence of obesity was determined using BMI and BF BIA %. Statistical analyses were performed using the Pearson's correlation test and One-Way analysis of variance. Results: Prevalence of obesity, based on BMI and BF BIA %, was 53% and 46%, respectively and no significant difference was determined (p=0.322). Subjects determined to be obese based on the BMI had a mean BF BIA % of 40±18%. The subjects determined to be obese, overweight and normal Amaç: Obezite tanısında sıklıkla beden kütle indeksi (BKİ) kullanılmakla birlikte, vücut yağ düzeyini ortaya koymaması dezavantajlı noktasıdır. Bu çalışmanın amaçları diyet polikliniğine başvuran, (1) 20-60 yaş grubu kadın bireylerde, BKİ ve biyoelektrik impedans analiz yöntemi (BİA) ile doğrudan saptanan vücut yağ yüzdesini (VY BİA %) kullanarak obezite durumunu ve (2) BKİ ve VY BİA % arasındaki ilişkiyi değerlendirmektir. Yöntem: Çalışma 20-60 yaş arası 100 kadın bireyle yürütülmüştür. Bu araştırma tanımlayıcı tiptedir. Araştırma verileri ve vücut yağ yüzdesi (% BF BİA) değerleri, poliklinik BİA kayıtlarından Ekim-Kasım 2020 arasında elde edilmiştir. Vücut ağırlığı ve boy uzunluğu ölçümleri kullanılarak BKİ hesaplanmıştır. Bireylerde obezite görülme sıklığı BKİ ve vücut yağ yüzdesi (VY BİA %) kullanılarak belirlenmiştir. İstatistik olarak Pearson korelasyon testi ve tek-yönlü varyans analizi kullanılmıştır. Bulgular: BKİ'ye göre kadınların %53'ü, BİA ile elde edilen vücut yağ yüzdesine göre %46'sı obez bulunmuştur. BKİ ve vücut yağ yüzdesi kullanılarak saptanan obezite arasında anlamlı bir fark bulunmamıştır (p=0,322). BİA'ya göre obez bireylerin ortalama vücut yağ yüzdesi (VY BİA %) %40±18 olarak saptanmıştır. BİA yöntemi kullanılarak BKİ'ye göre şişman, hafif şişman ve normal vücut ağırlığındaki kadınların vücut
Nutrición hospitalaria, 2014
Body mass index (BMI) has been one of the methods most frequently used for diagnose obesity, but it isn't consider body composition. This study intends to apply one new adiposity index, the BMI adjusted for fat mass (BMIfat) developed by Mialich et al. (2011), in a adult Brazilian sample. A cross-sectional study with 501 individuals of both genders (366 women, 135 men) aged 17 to 38 years and mean age was 20.4 ± 2.8 years, mean weight 63.0 ± 13.5 kg, mean height 166.9 ± 9.0 cm, and BMI 22.4 ± 3.4 kg/m2. High and satisfactory R2 values were obtained, i.e., 91.1%, 91.9% and 88.8% for the sample as a whole and for men and women, respectively. Considering this BMIfat were developed new ranges, as follows: 1.35 to 1.65 (nutritional risk for malnutrition), > 1.65 and ≤2.0 (normal weight) and > 2.0 (obesity). The BMIfat had a more accurate capacity of detecting obese individuals (0.980. 0.993, 0.974) considering the sample as a whole and women and men, respectively, compared to ...
The measurement of body composition has become an important component in the diagnosis of health, physical conditioning and nutritional status. The aim of this study was to compare two methods of detecting body composition, bioelectrical impedance and air displacement plethysmography for athletes and non-athletes. Specifically, we compared the parameters as fat mass, fat free mass and the value of basal metabolic rate. A sample size of 52 men (age 26.2 ± 5.4 years) that included a group of mixed martial arts (MMA) fighters (n = 31, age 27.2 ± 5.5 years) and a group of the non-athletes (n =21, age 24.6 ± 5.1 years). Both groups were measured by bioelectrical impedance and air displacement plethysmography. Significant differences in % body fat (p<0.05) and fat-free mass (p<0.05) were noted between bioelectrical impedance and air displacement plethysmography of non-athletes, but there were no significant differences for athletes. Furthermore, there was a significant difference (p<0.001) of basal metabolic rate between bioelectrical impedance and air displacement plethysmography, but the correlation with fat free mass was very strong for both methods. Therefore, the use of bioelectrical impedance and air displacement plethysmography may be useful for detecting changes in body composition, but their accuracy is controversial and for this reason we recommend using only one method and not combining them.
2015
The aim of this study was to determine the relationship between body mass index (BMI) and body fat percentage (% BF) among 1000 healthy adolescents (ages, 15-19 y) from different areas in Serbian Republic (Federation of Bosnia and Herzegovina), during 2014. In this study examined adolescents were divided into four groups after calculating BMI, and after the correlation between BMI and %BF. The obtained results show that there are significantly more (p < 0.01; p < 0.05) boys (ages, 15-18) with a healthy weight than girls. The correlation between BMI) and %BF was very strong, positive, among examined girls (r = 0.975) and boys (r = 0.752). In a group with normal % BF and increased BMI there were significantly more (p < 0.01) boys than girls, and the opposite situation were in a group with increased BMI and % BF, where it was significantly more (p < 0.05) girls than boys. Obtained results show that the majority of adolescents in the Serbian Republic have normal body weight, with a tendency of increase, especially among girls who are more prone to unbalanced nutrition.
International Journal of Environmental Research and Public Health
The objective of the study was to evaluate the stratification of young women based on the assessment of body composition according to several currently recommended anthropometric indices and parameters, as well as the presence of obesity, sarcopenic obesity and the risk of premature death. Three hundred and three young Caucasian women aged 18–25 years were included in the cross-sectional observational study. For the purposes of the study, we used the bioelectrical impedance method and applied the obtained data to calculate indices defining obesity, sarcopenic obesity and premature mortality risk (ABSI z-score). We found significant differences between indicators of total and abdominal obesity when determining the rate of risk of premature death and diagnosis of obesity. Our results also suggest that FMI and FM/FFM indices correlate excellently with fat mass and visceral adipose tissue, better than BMI. Even in the case of abdominal obesity, FMI appears to correlate relatively strong...
Clinical Interventions in Aging, 2011
The measurements of body mass index (BMI) and percentage of body fat are used in many clinical situations. However, special tools are required to measure body fat. Many formulas are proposed for estimation but these use constant coefficients of age. Age spectrum might affect the predicted value of the body composition due to body component alterations, and the coefficient of age for body fat prediction might produce inconsistent results. The objective of this study was to identify variations of BMI and body fat across the age spectrum as well as compare results between BMI predicted body fat and bioelectrical impedance results on age. Methods: Healthy volunteers were recruited for this study. Body fat was measured by bioelectrical impedance. The age spectrum was divided into three groups (younger: 18-39.9; middle: 40-59.9; and older: 60years).Comparisonofbodycompositioncovariatesincludingfatmass(FM),fatfreemass(FFM),percentageFM(PFM),percentageFFM(PFFM),FMindex(FMI)andFFMindex(FFMI)ineachweightstatusandagespectrumwereanalyzed.Multivariablelinearregressioncoefficientswerecalculated.Coefficientalterationsamongagegroupsweretestedtoconfirmtheeffectoftheagespectrumonbodycompositioncovariates.MeasuredPFMandcalculatedPFMfrompreviousformulaswerecomparedineachquarteroftheagespectrum.Results:Atotalof2324volunteerswereincludedinthisstudy.Theoverallbodycompositionandweightstatus,averagebodyweight,height,BMI,FM,FFM,anditsderivativesweresignificantlydifferentamongagegroups.ThecoefficientofagealteredthePFMdifferentlybetweenyounger,middle,andoldergroups(0.07;P=0.02vs0.13;P,0.01vs0.26;P,0.01;respectively).AllcoefficientsofagealterationsinallFM−andFFM−derivedvariablesbetweeneachagespectrumweretested,demonstratingasignificantdifferencebetweentheyounger(,60years)andolder(60 years). Comparison of body composition covariates including fat mass (FM), fat free mass (FFM), percentage FM (PFM), percentage FFM (PFFM), FM index (FMI) and FFM index (FFMI) in each weight status and age spectrum were analyzed. Multivariable linear regression coefficients were calculated. Coefficient alterations among age groups were tested to confirm the effect of the age spectrum on body composition covariates. Measured PFM and calculated PFM from previous formulas were compared in each quarter of the age spectrum. Results: A total of 2324 volunteers were included in this study. The overall body composition and weight status, average body weight, height, BMI, FM, FFM, and its derivatives were significantly different among age groups. The coefficient of age altered the PFM differently between younger, middle, and older groups (0.07; P = 0.02 vs 0.13; P , 0.01 vs 0.26; P , 0.01; respectively). All coefficients of age alterations in all FM-and FFM-derived variables between each age spectrum were tested, demonstrating a significant difference between the younger (,60 years) and older (60years).Comparisonofbodycompositioncovariatesincludingfatmass(FM),fatfreemass(FFM),percentageFM(PFM),percentageFFM(PFFM),FMindex(FMI)andFFMindex(FFMI)ineachweightstatusandagespectrumwereanalyzed.Multivariablelinearregressioncoefficientswerecalculated.Coefficientalterationsamongagegroupsweretestedtoconfirmtheeffectoftheagespectrumonbodycompositioncovariates.MeasuredPFMandcalculatedPFMfrompreviousformulaswerecomparedineachquarteroftheagespectrum.Results:Atotalof2324volunteerswereincludedinthisstudy.Theoverallbodycompositionandweightstatus,averagebodyweight,height,BMI,FM,FFM,anditsderivativesweresignificantlydifferentamongagegroups.ThecoefficientofagealteredthePFMdifferentlybetweenyounger,middle,andoldergroups(0.07;P=0.02vs0.13;P,0.01vs0.26;P,0.01;respectively).AllcoefficientsofagealterationsinallFM−andFFM−derivedvariablesbetweeneachagespectrumweretested,demonstratingasignificantdifferencebetweentheyounger(,60years)andolder(60 years) age groups, except the PFFM to BMI ratio (difference of PFM and FMI [95% confidence interval]: 17.8 [12.8-22.8], P , 0.01; and 4.58 [3.4-5.8], P , 0.01; respectively). The comparison between measured PFM and calculated PFM demonstrated a significant difference with increments of age. Conclusion: The relationship between body FM and BMI varies on the age spectrum. A calculated formula in older people might be distorted with the utilization of constant coefficients.
Clinical Nutrition, 2021
Background & aims: Obesity is characterized by fat mass excess (FM), extra cellular water increase (ECW) and, with ageing, decrease in fat free mass (FFM). The validity of body impedance analysis (BIA) in patients with mild to severe obesity is still debated. The purpose of this study is to describe the Resistance (Rz) and Reactance (Xc) values obtained by Body Impedance Analysis (BIA) in a wide cohort of Italian patients with mild to severe obesity. The secondary endpoint is to describe the resulting body composition values (as percentage and indexes) in this population. Methods: The study enrolled adult in-patients with mild to severe obesity (classified with class I, II and III obesity) undergoing clinical care rehabilitation program for obesity complications and weight loss. BIA values were grouped by sex, BMI and age classes. Results: A total of 8303 patients with obesity, aged 18 to 90 y, were studied. The Resistance (Rz) and Reactance (Xc) were reported by sex, age and BMI classes. In women and men both, the phase angle (PhA) decreases with increasing BMI (kg/m 2) and the resulting BIA vector was significantly shifted. The FM index (FMI) was higher (p < 0.0001) in women while FFM index (FFMI) was higher in men (p < 0.0001) and significantly associated with BMI. FFMI decreased with age in both sex (p < 0.0001). Skeletal mass (SM) presents a progressive reduction in relation to age and gender both. Conclusions: The present BIA-based body composition analysis in a wide cohort of mild to severe obese patients revealed a significantly decreased Rz and Xc values with a consequent significant decrease of PhA in a BMI-dependent manner. The body compartments estimation with available equations was BMI, sex and age dependent. These observational results could be the basis for the development of new equations adapted for patients suffering from obesity.