Validation of predictive equations against DXA for estimation of body fat composition in Vietnamese children

MedPharmRes ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 11-15
Author(s):  
Thanh V. Kim ◽  
Tam M. Do ◽  
Thanh T.K. Tran ◽  
Xuan M. Ngo ◽  
Hong K. Tang

Background: Childhood overweight and obesity are becoming more pronounced in Vietnam, so an assessment tool of high efficiency in the community is warranted. This study sought to validate skinfold thickness (SFT) equations for estimation of body fatness by Goran and Slaughter against DXA to aid in assessing obesity. Method: A cross-sectional study was conducted on 144 healthy children (ages 6-17) who were conveniently sampled from schools within an urban district. Their anthropometric measurements (height, weight, and SFT) and DXA whole-body results were taken to record body fat percentage (BF%). Bland-Altman analysis and correlation between bias and body fat were employed to understand the agreement between results from each equation and DXA whole body. Result: BF% was 32.2 ± 7.6% (mean ± SD). 52.8% of the children were overweight or obese. Bland-Altman plots showed that all four SFT equations had wide limits of agreement (LOAs) and largely underestimated the reference BF% by up to 8.90%. Goran equation predicted better when BF% decreased, whereas Slaughter equations produced less bias when there was more body fat. Conclusion: The prevalence rate of overweight and obesity has become alarming. Besides, Goran and Slaughter equations cannot be used as alternatives for DXA scanning to measure body fat due to their underestimation.

2021 ◽  
pp. 1-28
Author(s):  
Meltem Soylu ◽  
Nazlı Şensoy ◽  
İsmet Doğan ◽  
Nurhan Doğan ◽  
Mümtaz M. Mazicioğlu ◽  
...  

Abstract Objective: The primary purpose of this study was to establish Turkish smoothed centile charts and LMS tables for four-site skinfold thickness based on a population-based sample and secondary purpose was to elaborate a reference for the percentage of body fat. Design: A cross-sectional and descriptive study was conducted between January and May 2017. Triceps, biceps and subscapular, suprailiac skinfold thickness were measured using Holtain skinfold caliper. Age and gender specific percentile values were determined with the LMS method, and body fat percentage was calculated using the Westrate and Deurenberg equation. Setting: Afyonkarahisar province in Turkey. Participants: This study was conducted on 4565, 6-18 years old students. Results: The triceps, biceps, and subscapular skinfolds of the girls were higher than the boys. From the age of seven, the sum of four skinfold thicknesses of the girls was more than those of the boys. This difference became more evident after the age of 12. Although fat percentages of girls showed a fluctuating change, it decreased with the age in boys. Westrate and Deurenberg equation fat percentages of girls until adolescence were lower than boys, but increased after 12 years of age and exceeded that of boys. Conclusions: This study has provided sex and age specific reference values for skinfold thickness, and has shown that obesity in girls is higher than in boys in schoolchildren in Afyonkarahisar. This study has also shown that skinfold thickness measurements are a valuable tool for screening obesity in children.


2021 ◽  
Vol 1 ◽  
Author(s):  
Rebekka Mumm ◽  
Anna Reimann ◽  
Christiane Scheffler

Background Over the last 20 years, a decreasing trend in external skeletal robusticity and an increasing trend in overweight and obesity was observed worldwide in adults and children as modern lifestyles in nutritional and activity behavior have changed. However, body mass index (BMI) as a measure for overweight is not an ideal predictor of % body fat (%BF) either in children and adolescents or in adults. On the contrary, it disguises a phenomenon called “hidden obesity”. Objectives We aim to approximate %BF by combining skeletal robusticity and BMI and develop an estimation-based tool to identify normal weight obese children and adolescents. Sample and Methods We analyzed cross-sectional data on height, weight, elbow breadth, and skinfold thickness (triceps and subscapular) of German children aged 6 to 18 years (N=15,034). We used modified Hattori charts and multiple linear regression to develop a tool, the “%BF estimator”, to estimate %BF by using BMI and skeletal robusticity measured as Frame Index. Results Independent of sex and age an increase in BMI is associated with an increase in %BF, an increase in Frame Index is associated with a decrease in %BF. The developed tool “%BF estimator” allows the estimation of %BF per sex and age group after calculation of BMI and Frame Index. Conclusion The “%BF estimator” is an easily applicable tool for the estimation of %BF in respect of body composition for clinical practice, screening, and public health research. It is non-invasive and has high accuracy. Further, it allows the identification of normal weight obese children and adolescents.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Orison O. Woolcott ◽  
Richard N. Bergman

Abstract We evaluated the ability of the Relative Fat Mass (RFM) to estimate whole-body fat percentage among children and adolescents who participated in the National Health and Nutrition Examination Survey from 1999 through 2006 (n = 10,390). The RFM equation for adults (64 − (20 × height/waist circumference) + (12 × sex)) may be used for adolescents 15 to 19 years of age. For children and adolescents 8 to 14 years of age, we suggest a modified RFM equation, named as the RFMp (RFM pediatric): 74 − (22 × height/waist circumference) + (5 × sex). In both equations, sex equals 0 for boys and 1 for girls. RFMp was more accurate than BMI to estimate whole-body fat percentage (measured by dual energy X-ray absorptiometry, DXA) among girls (percentage of estimates that were <20% of measured body fat percentage, 88.2% vs. 85.7%; P = 0.027) and boys 8 to 14 years of age (83.4% vs. 71.0%; P < 0.001). RFM was more accurate than BMI among boys 15 to 19 years of age (82.3% vs. 73.9%; P < 0.001) but slightly less accurate among girls (89.0% vs. 92.6%; P = 0.002). Compared with BMI-for-age percentiles, RFMp had lower misclassification error of overweight or obesity (defined as a DXA-measured body fat percentage at the 85th percentile or higher) among boys 8 to 14 years of age (6.5% vs. 7.9%; P = 0.018) but not girls (RFMp: 8.2%; BMI-for-age: 7.9%; P = 0.681). Misclassification error of overweight or obesity was similar for RFM and BMI-for-age percentiles among girls (RFM: 8.0%; BMI-for-age: 6.6%; P = 0.076) and boys 15 to 19 years of age (RFM: 6.9%; BMI-for-age: 7.8%; P = 0.11). RFMp for children and adolescents 8 to 14 years of age and RFM for adolescents 15 to 19 years of age were useful to estimate whole-body fat percentage and diagnose body fat-defined overweight or obesity.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Low Pei Kit ◽  
Hazizi Abu Saad ◽  
Rosita Jamaluddin ◽  
Chee Huei Phing

  Introduction: Overweight and obesity has been emerging as one of the most common and preventable nutritional problems worldwide. In 2016, 39% and 13% of the adult population worldwide was classified as overweight and obese, respectively. Materials and Methods: We conducted a cross-sectional study at 12 selected health clinics in Perak, Malaysia, and we used multi-stage cluster random sampling to determine the prevalence of overweight and obesity among the primary healthcare workers and the associate factors of obesity indices. Each respondent was required to complete a self-administered questionnaire on their socio-demographic characteristics. In addition, we took anthropometric measurements, including height, weight, BMI, waist circumference, and body fat percentage, of the participants. Results: We recruited 261 primary healthcare workers. Overall, 49.9% of the healthcare workers were overweight or obese, 51.0% were at risk of having abdominal obesity, and 79.6% had a high body fat percentages. Age and self-reported health status were significantly associated with all the obesity indices. Educational level showed significant association with BMI and waist circumference, while occupational status showed an association only with BMI. Older age and professionals were predictors for high obesity indices. Conclusion: The prevalence of obesity among the primary healthcare workers was higher than among the general population. An immediate intervention programme is needed to reduce the prevalence of overweight and obesity among primary healthcare workers.


2015 ◽  
Vol 4 (1) ◽  
pp. 35-40 ◽  
Author(s):  
Thant Zin ◽  
Aza Sherin Mohamad Yusuff ◽  
Than Myint ◽  
Daw KS Naing ◽  
Kyaw Htay ◽  
...  

Nutrition is a critical part of human health and development. However, overweight and obesity prevalence are rising worldwide, with associated diabetes, cardiovascular diseases and other diet-related conditions. Body mass index (BMI) is an index of weight-for-height that is commonly used to classify overweight and obesity in adults. The skin-fold measurement method is the most widely used body fat composition testing method for assessing body fat percentage. The objective of the study was to measure the body weight and body fat of medical students of Sabah, Malaysia by using different types of nutritional assessment methods. A cross-sectional study among the selected Year 2 medical students of School of Medicine, University Malaysia Sabah was conducted using different types of nutritional assessment. The average BMI and mean body fat percentage measured by body fat analyzer of the re-spondents were 21.95±0.59 kg/m2, and 16.98±1.37% respectively. The mean body fat percentages calculated by different skinfold thickness were: abdominal 24.13±1.11%, supra-iliac 20.35±1.35%, subscapular 21.83±1.01%, and alternative three-site 19.46±1.02%. In reliability testing, results are variable between male and female – internal consistency of the alternative three-sites skinfold calculation for body fat percentage showed male (excellent) and female (acceptable), and skinfold reading for body fat percentage for triceps, abdomen, sub-scapular and supra-iliac showed male (good) and female (poor to acceptable). Our findings could be used in obesity awareness promotion among Malaysian youth. However, further investigation about the determinants of obesity and body fat, including age, sex, race, nutrition, and changes over time, is needed.DOI: http://dx.doi.org/10.3329/seajph.v4i1.21838 South East Asia Journal of Public Health Vol.4(1) 2014: 35-40


2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jinkyung Cho ◽  
Haeryun Hong ◽  
Soohyun Park ◽  
Shinuk Kim ◽  
Hyunsik Kang

Background. This study investigated the association between insulin resistance (IR) and metabolic syndrome (MetS) in children. Methods. A cross-sectional study involving 1036 healthy children aged between 7 and 13 years was conducted. Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated as an index of IR. Participants were classified according to the HOMA-IR quartiles. Results. Incremental, linear trends were found in age (p<0.001), body mass index (BMI) (p<0.001), body fat (p<0.001), waist circumference (p<0.001), resting blood pressures (BP) (p<0.001), triglycerides (TG) (p<0.001), total cholesterol (TC) (p<0.001), high density lipoprotein-cholesterol (HDL-C) (p<0.001), FBG (p<0.001), and insulin (<0.001) according to incremental HOMA-IR categories (from the 1st to 4th quartile). Compared with children in the 1st HOMA-IR quartile, children in the 4th HOMA-IR quartile had significantly higher odd ratios (ORs) of abnormalities in systolic (p=0.051) and diastolic BP (p=0.005), FBG (p<0.001), TG (p<0.001), TC (p=0.016), and HDL-C (p=0.006) even after adjustments for age, gender, BMI, and body fat percentage. Children in the 3rd HOMA-IR quartile had significant abnormalities in FBG (p<0.001), TG (p=0.001), and HDL-C (p=0.010) even after adjustments for the covariates. Conclusion. The current findings suggest that IR is significantly associated with the clustering of MetS risk factors in children in Korea.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Ruth B. Quiliche Castañeda ◽  
Josué Turpo-Chaparro ◽  
Jesús Hanco Torres ◽  
Jacksaint Saintila ◽  
Percy G. Ruiz Mamani

The university represents a critical space for students in terms of prevalence of malnutrition. The objective of this study was to determine the body mass index (BMI), body fat percentage (% BF), waist circumference (WC), and anemia in university students. A cross-sectional study was carried out in 2,285 university students from Lima, Peru. The sample was selected by nonprobability convenience sampling. Anthropometric data and hemoglobin levels were measured. The Chi-square test was used. The analysis of the associated factors was done using binary logistic regression. A significance level of 5% was considered. There were no significant differences between men and women in BMI ( p > 0.05 ). The men presented significantly high and very high levels of % BF ( p < 0.001 ). The proportion of women who presented anemia and high and very high WC was significantly higher compared to men ( p < 0.001 ). Being older than 27 years (ORB = 2.07; 95% CI = 1.19–3.6), being male (ORB = 2.68; 95% CI = 2.02–3.55), studying at the engineering faculty (ORB = 1.39; 95% CI = 1.09–1.79), having excess body fat (ORB = 8.17; 95% CI = 6.13–10.87), and having an elevated WC (ORB = 35.51; 95% CI = 25.06–50.33) significantly predicted overweight/obesity. The findings of this study suggest that college students, especially males and those who are not enrolled in health sciences colleges, should be a priority in healthy lifestyle interventions, particularly nutritional education programs, to reduce the prevalence of overweight and obesity.


Author(s):  
Mukadas O. Akindele ◽  
Julie S. Phillips ◽  
Ehimario U. Igumbor

The increase in the prevalence of overweight and obesity in both developed and developing countries is associated with musculoskeletal and other non-communicable diseases. To address this, an accurate measure of body adiposity, bearing in mind several shortcomings of body mass index (BMI), should be used. This study determined the relationship between BMI and body fat (BF)% among adult Nigerians of different ethnic groups residing in an urban setting. Using multistage cluster sampling technique were recruited 1571 subjects (>18 years; male=51.2%) in a cross-sectional study. Body adiposity indices were assessed using BMI and BF%. Using BF%, the result shows that a total number of 156 (9.9%) had low BF% while 291 (18.5%) had very high BF%, while the BMI classifications of body adiposity, 68 (4.3%) were underweight while 271 (17.3%) were obese. There was a strong and positive statistical relationship between BF% and BMI when both were paired without controlling for gender and age (r=0.81, P<0.01). The results show that there is a strong positive association between BMI and BF%, and age and sex are predictors of this association.


2018 ◽  
Vol 15 (4) ◽  
pp. e0609
Author(s):  
Tamara Martin-Gimenez ◽  
Carla N. Aguirre-Pascasio ◽  
Ignacio De Blas

Body condition scoring (BCS) is an indirect measure of the level of subcutaneous fat; however, by measuring the subcutaneous fat thicknesses (SFT), the precision of the degree of fatness assessment is improved. The aims were: 1) to develop an alternative body fat scoring index (BFSI) based on ultrasonographic measurements; 2) to assess the agreement between BCS and the new index applied to Andalusian horses; 3) to adjust the BCS cut-off values (if necessary) for overweight and obesity in this breed. One hundred and sixty-six Andalusian horses were included in this cross sectional study. On each horse, BCS, body fat percentage (BF%) and ultrasonography of SFT at localized deposits were evaluated. According to BFSI five possible body categories were established. Only one horse (0.6%) was classified as emaciated, 9.0% as thin, 74.7% as normal, 11.4% as overweight and 4.2% as obese. Despite higher BCS and SFT values were observed compared to other breeds, most of the horses evaluated presented a normal body condition under the new BFSI. BCS and BFSI were significantly associated (p<0.001), however, the concordance was low (weighted Cohen’s kappa coefficient, 0.262 ± 0.071; p=0.004). Using BFSI, obese horses had significantly greater BF% than the rest of categories (p<0.001). BCS showed a good diagnostic accuracy for detection overweight (AUC = 0.759 ± 0.055; p<0.001) and obese (AUC = 0.878 ± 0.050; p=0.001) horses; redefining the cut-off values for overweight and obesity condition as 7.5/9 and 8.5/9 respectively in Andalusian horses.


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