Age and sex influence the relationship between waist circumference and abdominal fat distribution measured by bioelectrical impedance

2012 ◽  
Vol 32 (6) ◽  
pp. 466-469 ◽  
Author(s):  
Rocio Mateo-Gallego ◽  
Ana M. Bea ◽  
Estibaliz Jarauta ◽  
Maria Rosario Perez-Ruiz ◽  
Fernando Civeira
Keyword(s):  
Waist Circumference ◽  
Bioelectrical Impedance ◽  
Fat Distribution ◽  
Abdominal Fat ◽  
Sex Influence ◽  
The Relationship ◽  
Age And Sex

scholarly journals Body mass index as a measure of body fatness: age- and sex-specific prediction formulas

1991 ◽  
Vol 65 (2) ◽  
pp. 105-114 ◽  
Author(s):  
Paul Deurenberg ◽  
Jan A. Weststrate ◽  
Jaap C. Seidell
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Prediction Error ◽  
Bioelectrical Impedance ◽  
Skinfold Thickness ◽  
Fat Percentage ◽  
Wide Range ◽  
The Relationship ◽  
Age And Sex

In 1229 subjects, 521 males and 708 females, with a wide range in body mass index (BMI; 13.9–40.9 kg/m2), and an age range of 7–83 years, body composition was determined by densitometry and anthropometry. The relationship between densitometrically-determined body fat percentage (BF%) and BMI, taking age and sex (males =1, females = 0) into account, was analysed. For children aged 15 years and younger, the relationship differed from that in adults, due to the height-related increase in BMI in children. In children the BF% could be predicted by the formula BF% = 1.51xBMI–0.70xage–3.6xsex+1.4 (R2 0.38, SE of estimate (see) 4.4% BF%). In adults the prediction formula was: BF% = 1.20xBMI+0.23xage−10.8xsex–5.4 (R2 0.79, see = 4.1% BF%). Internal and external cross-validation of the prediction formulas showed that they gave valid estimates of body fat in males and females at all ages. In obese subjects however, the prediction formulas slightly overestimated the BF%. The prediction error is comparable to the prediction error obtained with other methods of estimating BF%, such as skinfold thickness measurements or bioelectrical impedance.

scholarly journals Mediation role of body fat distribution (FD) on the relationship between CAV1 rs3807992 polymorphism and metabolic syndrome in overweight and obese women

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Faezeh Abaj ◽  
Said Abdul Ghafour Saeedy ◽  
Khadijeh Mirzaei
Keyword(s):  
Metabolic Syndrome ◽  
Body Fat ◽  
Indirect Effect ◽  
Bioelectrical Impedance ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Obese Women ◽  
Cross Sectional ◽  
Increased Risk ◽  
The Relationship

Abstract Background Metabolic syndrome (MetS) is associated with an increased risk of morbidity and mortality in almost all chronic diseases. The most frequent methods for the calculation of a continuous MetS (cMetS) score have used the standardized residuals in linear regression (z-score). Recently, emerging data suggest that one of the main genetic targets is the CAV1, which plays a crucial role in regulating body fat distribution. This study is designed to investigate the relationship between CAV1 rs3807992 genotypes and cMetS, and to determine whether body fat distribution plays a mediating role in this regard. Methods The current cross-sectional study was conducted on 386 overweight and obese females. The CAV1 rs3807992 and body composition were measured by the PCR–RFLP method and bioelectrical impedance analysis, respectively. Serum profile of HDL-C, TGs, FPG, and Insulin were measured by standard protocols. Results GG allele carriers had significantly lowered Z-MAP (p = 0.02), total cMetS (p = 0.03) and higher Z-HDL (p = 0.001) compared with (A) allele carriers. There was a significant specific indirect effect (standardized coefficient = 0.19; 95% CI 0.01–0.4) of Visceral fat level (VFL). Although, total body fat was significantly associated with CAV1 rs3807992 and cMetS, the specific indirect effect was not significant (standardized coefficient = 0.21; 95% CI − 0.006, 0.44). VFL contributed to significant indirect effects of 35% on the relationship between CAV1 and cMetS. Conclusion Higher visceral adipose tissue may affect the relationship between CAV1 and cMetS. Although CAV1 rs3807992 is linked to VFL in our study, the influence of this polymorphism on MetS is not via total fat.

scholarly journals Body Fat Distribution Measured by Bioelectrical Impedance Analysis is Associated with Occurrence of Colorectal Adenoma: A Case Control Study

2020 ◽  
Author(s):  
Zhong-Hui Liu ◽  
Gui-Xi Zhang ◽  
Hao Zhang ◽  
Li Jiang ◽  
Yang Deng ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Waist Circumference ◽  
Body Fat ◽  
Colorectal Adenoma ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Distribution ◽  
Body Fat Mass

Abstract ObjectivesSome studies have reported that visceral fat volume measured by computed tomography (CT) was a risk factor for colorectal adenoma (CRA). However, CT is not a good method for risk stratification in clinical use for its radiation. Bioelectrical impedance analysis (BIA) is a non-invasive method for assessment of body composition. The aim of current study was to evaluate the association of body fat measured by BIA with occurrence of CRA.Patients and methods:A total of 410 participants who had underwent screening colonoscopy from Jul 2017 to Dec 2019 in our center were recruited, including 230 with adenoma and 180 without adenoma detected. Body fat of participants were measured by BIA, including body fat mass (BFM), body fat percent (BFP), and waist-to-hip fat ratio. Parameters of metabolic syndrome (MetS) were also measured, including waist circumference, blood pressure, fasting blood glucose, blood level of triglyceride, cholesterol and high-density lipoprotein.ResultsAccording to univariate analysis, age, male proportion, BMI, waist circumference, body fat mass, waist-to-hip fat ratio, blood pressure, and FBG were higher in adenoma group than adenoma-free group, p < 0.05. On multivariate analysis (adjusted for age, sex, smoking, drinking, family history of CRC, etc.), High waist-to-hip fat ratio measured by BIA was associated with occurrence of CRA (compared with normal waist-to-hip fat ratio, OR 1.84; 95% CI, 1.09–3.09; p = 0.02). High waist circumference, as a component of MetS, was also independently associated with CRA (OR 1.90; 95% CI 1.17–3.08, p = 0.01).ConclusionBody fat distribution measured by BIA is associated with occurrence of CRA. Central obesity is a risk factor for CRA.Trial registration: This study was prospectively registered in Chinese Clinical Trials Registry (www.chictr.org.cn; registry number: ChiCTR-RRC-17010862).

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