scholarly journals Excessive adiposity at low BMI levels among women in rural Bangladesh

2016 ◽  
Vol 5 ◽  
Author(s):  
Saijuddin Shaikh ◽  
Jessica Jones-Smith ◽  
Kerry Schulze ◽  
Hasmot Ali ◽  
Parul Christian ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Body Fat ◽  
Metabolic Diseases ◽  
Bioelectrical Impedance ◽  
Roc Curves ◽  
Impedance Analysis ◽  
Percentage Body Fat ◽  
Asian Populations ◽  
Low Bmi ◽  
Excessive Adiposity

AbstractAsian populations have a higher percentage body fat (%BF) and are at higher risk for CVD and related complications at a given BMI compared with those of European descent. We explored whether %BF was disproportionately elevated in rural Bangladeshi women with low BMI. Height, weight, mid-upper arm circumference, triceps and subscapular skinfolds and bioelectrical impedance analysis (BIA) were measured in 1555 women at 3 months postpartum. %BF was assessed by skinfolds and by BIA. BMI was calculated in adults and BMI Z-scores were calculated for females <20 years old. Receiver operating characteristic (ROC) curves found the BMI and BMI Z-score cut-offs that optimally classified women as having moderately excessive adipose tissue (defined as >30 % body fat). Linear regressions estimated the association between BMI and BMI Z-score (among adolescents) and %BF. Mean BMI was 19·2 (sd 2·2) kg/m2, and mean %BF was calculated as 23·7 (sd 4·8) % by skinfolds and 23·3 (sd 4·9) % by BIA. ROC analyses indicated that a BMI value of approximately 21 kg/m2 optimised sensitivity (83·6 %) and specificity (84·2 %) for classifying subjects with >30 % body fat according to BIA among adults. This BMI level is substantially lower than the WHO recommended standard cut-off point of BMI ≥ 25 kg/m2. The equivalent cut-off among adolescents was a BMI Z-score of –0·36, with a sensitivity of 81·3 % and specificity of 80·9 %. These findings suggest that Bangladeshi women exhibit excess adipose tissue at substantially lower BMI compared with non-South Asian populations. This is important for the identification and prevention of obesity-related metabolic diseases.

scholarly journals Association between Body Mass Index and Body Fat in College Students

2011 ◽  
Vol 17 (1) ◽  
pp. 18-24
Author(s):  
Chang Hung HUNG
Keyword(s):  
College Students ◽  
Body Mass ◽  
Body Fat ◽  
Metabolic Diseases ◽  
Surrogate Marker ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Male Students ◽  
Visceral Fat Area ◽  
Cross Sectional

LANGUAGE NOTE | Document text in English; abstract also in Chinese. This study explored the association between BMI and body fat assessed by bioelectrical impedance analysis (BIA) in college students. Cross-sectional studies of 2,531 college students were measured. BIA was used to quantify body fat mass (BFM), percentage of body mass (%BF) and visceral fat area (VFA). Significant correlations between BMI and BFM, %BF, VFA were fund, respectively (r=0.923, 0.836, 0.912 in male, p<0.001; r=0.920, 0.741, 0.920 in female, p<0.001). Regression analysis revealed that 85.3%, 69.9%, and 83.1% of the variance for BFM, %BF, and VFA could be explained by BMI in male students (p<0.001); and 84.7%, 54.9%, and 84.6% of the variance for BFM, %BF, VFA could be explained by BMI in female students (p<0.001). BFM and VFA were highly associated with BMI in college students, suggesting that BMI serves as a good surrogate marker for obesity in college students aged 18-24 years. However, a significantly medium correlation existed in BMI and %BF, which may be a limitation for BMI, when used to study risk factors for cardiovascular or metabolic diseases. 本研究主要探討大學生身體質量指數 (BMI) 與體脂肪之關連性。總共有2,531位大學生進行測量。以生物電阻分析(BIA) 身體脂肪量 (BFM)、身體脂肪百分比 (%BF) 與內臟脂肪 (VFA)，結果顯示: BMI與BFM、%BF、VFA均達顯著相關 (p<0.001)。本研究結果顯示大學生族群BMI與BFM、VFA有高度的關連性。因此，建議BMI可以做為18–24歲大學生族群評估肥胖之替代指標。然而，由於BMI與%BF僅存著中等的關連性，如果以BMI作為研究心血管或代謝疾病的危險因子，可能會成為研究之限制。

scholarly journals A Median Analysis of Factors Influencing Body Fatness in Urban School-Age Children in Cameroon

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Loveline L. Niba ◽  
Paul B. Itor ◽  
Yemele K. Sibelle Aurelie ◽  
Foba M. Singam ◽  
Emmanuel A. Tange ◽  
...  
Keyword(s):  
Quantile Regression ◽  
Body Fat ◽  
Bioelectrical Impedance Analysis ◽  
Public Health Problem ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
School Age Children ◽  
School Age ◽  
Behavioral Factors ◽  
Percentage Body Fat

Background. Childhood overweight/obesity is a fast growing public health problem in developing countries. The adverse health consequences of obesity have been attributed to higher body fat levels and this has drawn overwhelming attention towards more accurate assessment of body fat. The goal of this study is to evaluate the relationships between selected behavioral factors and percentage body fat (%BF) estimated using bioelectrical impedance analysis in school-age children. Methods. A cross-sectional analysis was carried out in randomly selected 6- to 11-year-old children (507 boys and 501 girls). Percentage body fat was assessed using bioelectrical impedance analysis. The behavioral factors were reported by parents using a structured questionnaire. Multiple quantile regression analysis was used to evaluate the relationship between the selected behavioral factors and %BF. Results. With quantile regression, the daily consumption of fruits and vegetables, daily breakfast consumption, and high physical activity (>4–7 times/week) were significantly (p<0.001) associated with a 4.95, 3.29, and 3.66 decrease in median %BF, respectively. Also, consumption of snacks (>3 times a day) (p<0.001), high sedentary lifestyle (>3–6 hours/day) (p<0.001), and motorization to school (p<0.005) significantly increased the median %BF by 3.69, 3.01, and 1.39, respectively. The largest changes in median %BF were observed in girls. Conclusions. Efforts are needed using longitudinal studies to clarify the effects of these behavioral factors on %BF in different regions and ethnic groups of Cameroon and also to assess whether any observed differences are of clinical relevance.

scholarly journals Cryolipolysis-induced abdominal fat change: Split-body trials

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0242782
Author(s):  
In Cheol Hwang ◽  
Kyoung Kon Kim ◽  
Kyu Rae Lee
Keyword(s):  
Adipose Tissue ◽  
Body Fat ◽  
Visceral Adipose Tissue ◽  
Subcutaneous Fat ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Abdominal Fat ◽  
Cross Sectional ◽  
The Cross ◽  
Visceral Adipose

Cryolipolysis has been considered as a noninvasive alternative to surgical procedures for reducing subcutaneous fat without affecting the surrounding tissues. However, no clinical trial has investigated changes in the abdominal fat tissue by 12 weeks after cryolipolysis. Therefore, in this split-body trial, we explored whether a single session of unilateral cryolipolysis could change visceral and subcutaneous adipose tissue over a period of 12 weeks. We compared the cross-sectional areas of the abdominal adipose tissue of 15 subjects (9 women; 38.3 [10.8] years) by computed tomography before and at 12 weeks after a single treatment of cryolipolysis to the left abdomen and used the right abdomen as untreated control. In addition, we measured participants’ waist circumference, percentage of body fat (by bioelectrical impedance analysis) at baseline and at 6- and 12-weeks post-treatment. Single unilateral cryolipolysis tended to reduce the cross-sectional areas of visceral adipose tissue, by 8.4 cm2 (9.9%), the waist circumferences, and the percent body fat, by 2.8 cm2 (0.6%), overall. The cross-sectional area of visceral adipose tissues on the treated side significantly decreased, by 6.8 cm2 (15.6%; P = 0.003), and that of the untreated side tended to decrease by 1.2 cm2 (3.6%). Thus, a single unilateral session of noninvasive selective cryolipolysis can be considered as a safe and effective treatment for reduction of visceral adipose tissue over a period of 12 weeks, which should result in metabolic improvement.

scholarly journals Combining Anthropometry and Bioelectrical Impedance to Predict Body Fat in Female Athletes

2021 ◽  
Author(s):  
Douglas M. Foote ◽  
Max Berkelhammer ◽  
Jane Marone ◽  
Craig A. Horswill
Keyword(s):  
Body Fat ◽  
Prediction Error ◽  
Bioelectrical Impedance Analysis ◽  
Female Athletes ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Single Frequency ◽  
Coefficient Of Determination ◽  
Cross Sectional ◽  
Percentage Body Fat

Abstract Context: Accurate methods for predicting percent body fat in female athletes are needed for those who lose weight for competition. Methods mandated by sports-governing bodies for minimal weight determination in such athletes lack validation. Objective: To determine whether combining anthropometry (skinfolds, SF) and bioelectrical impedance analysis (BIA) in a 3 component model (3C) would improve the prediction of percentage body fat (%Fat) in female athletes. Secondarily, the Slaughter skinfold equation was evaluated. We hypothesized that compared to outcomes for SF or BIA alone, 3C-determined %Fat would not differ from our criterion method (accuracy) and would be a stronger predictor (higher r2) of the criterion. Design: Cross sectional. Setting: Laboratory-based study during the pre-season for collegiate sport. Participants: Female athletes (n=18 D1 NCAA) recruited from swim and gymnastic teams. Main Outcome Variables: %Fat based on a four-compartment (4C) criterion incorporating body density (air displacement plethysmography), total body water (D2O dilution), and bone mineral mass (DEXA) compared to predicted %Fat using SF alone (Slaughter equation), bioelectrical impedance analysis (single frequency for TBW estimate) and combined skinfolds and BIA (3C). Results: Regression revealed that for %Fat using the criterion 4C, the highest adjusted coefficient of determination and lowest prediction error (r2 ±standard error of estimate) was 3C (r2=0.87 ±2.8%) followed by BIA (r2=0.80 ±3.5%) and SF (r2=0.76 ± 3.8%) (for all, p&lt;0.05). Means differed for %Fat determined using BIA (26.6 ±7.5) and 3C (25.5 ±7.2) vs. the 4C (23.5 ±7.4) (ANOVA and post hoc p&lt;0.05). The SF estimate (24.0 +7.8) did not differ from the 4C value. Conclusions: Combining SF and BIA might improve the prediction and lower the prediction error for determining %Fat in female athletes compared to SF or BIA separately. Regardless, the Slaughter skinfold equation appeared accurate for determining the mean %Fat in these female athletes.

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