Relative fat mass (RFM) as a new estimator of whole-body fat percentage ─ A cross-sectional study in American adult individuals

Woolcott, Orison O.; Bergman, Richard N.

doi:10.1038/s41598-018-29362-1

Cited by 211 publications

(293 citation statements)

References 47 publications

Supporting

Mentioning

242

Contrasting

Unclassified

Order By: Relevance

“…Specifically, the relative fat mass (RFM) metric approximates BFP using only height and waist circumferences, making it one of the simplest methods of determining obesity status in American adults. While these established methods have proven effective for military personnel and provided improvement over BMI alone in the American adult population, they do not account for the additional effect of age in predicting body composition. When looking at correlations between anthropometric measures such as waist circumference and BMI with body composition, previous research has found that both age and race also play significant roles in predicting BFP .…”

Section: Introductionmentioning

confidence: 99%

“…Methods relying only on anthropometric measurements including circumference measurements and height have also been employed for the purpose of predicting BFP. These methods have the advantage of accounting for individual body shape, while not requiring the equipment and training necessary to perform skinfold measurements.…”

Section: Introductionmentioning

confidence: 99%

“…These methods have the advantage of accounting for individual body shape, while not requiring the equipment and training necessary to perform skinfold measurements. Specifically, the relative fat mass (RFM) metric approximates BFP using only height and waist circumferences, making it one of the simplest methods of determining obesity status in American adults. While these established methods have proven effective for military personnel and provided improvement over BMI alone in the American adult population, they do not account for the additional effect of age in predicting body composition.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development and validation of body fat prediction models in American adults

Merrill

Chambers

Cham

2020

Obesity Science & Practice

View full text Add to dashboard Cite

Introduction: Commonly used statistical models to predict body fat percentage currently rely on skinfold measures, anthropometric measures, or some combination of the two but do not account for the wide ranges of age and body mass index (BMI) present in the American adult population. The objective of this study was to develop a statistical regression model to predict in vivo body fat percentage (dual energy Xray) in men and women across significant age and obesity ranges. Methods:This study included 228 adults between the ages of 21 and 70, with BMI between 18.5 and 40.0 kg m −2 . The study population was split into training (n = 163) and validation (n = 65) groups, which were used to develop and validate the prediction models. The models were developed on the training group using a backwards stepwise regression analysis, with the initial predictors including age, BMI, and several anthropometric and skinfold measurements. Results:The final statistical regression models included age, BMI, anthropometric measures, and skinfold measures with significant effects following the stepwise process. The models predicted body fat percentage in the testing group with average errors of less than 0.10% body fat in males and females, while the four previously existing methods (Durnin, Hodgdon, Jackson, and Woolcott) significantly underestimated or overestimated body fat in both genders, with errors ranging between 2% and 10%. Conclusions:The final models included hand thickness, and the female model was dependent on waist circumference and two of the skinfold measures, while the male model used hip and thigh circumferences, along with three skinfold measures. By including the skinfold measurements separately, instead of only as sums like previous models have done, these models can account for the different relative contributions of each site to total body fat.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development and validation of body fat prediction models in American adults

Merrill

Chambers

Cham

2020

Obesity Science & Practice

View full text Add to dashboard Cite

show abstract

“…Although we used BMI as a measure of adiposity, it is also worth mentioning the issues raised against the usage of BMI. First, BMI is limited in its inability to accurately estimate body fat percentage due to misclassification of body fat-defined obesity [8,66]. Second, there are variations in the thresholds; for example, the World Health Organization (WHO) has different measures.…”

Section: Discussionmentioning

confidence: 99%

“…There is mixed evidence pertaining to BMI distribution across females and males. While some studies appear to show that BMI is higher in males than in females [4][5][6], others show the opposite [7,8]. Gender-differential studies on BMI in low-and middle-income countries are scarce [9], despite a rapid increase in obesity, cardiovascular diseases [10,11], and other diseases associated with higher BMI.…”

Section: Introductionmentioning

confidence: 99%

Decomposition of Gender Differences in Body Mass Index in Saudi Arabia using Unconditional Quantile Regression: Analysis of National-Level Survey Data

Al-Hanawi

Chirwa

Kamninga³

2020

IJERPH

View full text Add to dashboard Cite

Understanding gender differences in body mass index (BMI) between males and females has been much debated and received considerable attention. This study aims to decompose gender differentials in the BMI of people of the Kingdom of Saudi Arabia. The study decomposed the BMI gender gap into its associated factors across the entire BMI distribution by using counterfactual regression methods. The main method of analysis was newly developed unconditional quantile regression-based decomposition, which applied Blinder–Oaxaca decomposition using data from the Saudi Health Interview Survey. Gender differentials were found in the BMI, with females showing a higher BMI than males. The aggregate decomposition showed that both the covariate effect and the structural effect were significant at the 25th and 50th quantiles. Detailed decomposition indicated that income level and employment status as well as soda consumption and the consumption of red meat were significantly correlated in explaining gender differentials in BMI across various quantiles, but the magnitude varied by quantile. Our study suggests the government should consider introducing programs that specifically target women to help them reduce BMI. These programs could include organizing sporting events at the workplace and at the national level. Furthermore, the effect of soda consumption could be reduced by levying a tax on beverages, which might reduce the demand for soda due to the increased price.

show abstract

Differences in cardiovascular risk levels between cleaning staff and hotel housekeepers

López-González

Manzanero²,

Miguel³

et al. 2022

Journal of Occupational Health

View full text Add to dashboard Cite

Background and objective Cardiovascular diseases are the leading cause of morbidity and mortality worldwide, with a greater incidence in the most disadvantaged social classes. In this study, we aimed to evaluate the level of cardiovascular risk in cleaning workers. Methods This was a descriptive, cross‐sectional study in 46.632 cleaning workers (40.169 women and 6.463 men). Thirty‐one different scales related to cardiovascular risk were studied (14 assessing overweight and obesity, 5 determining the risk of nonalcoholic fatty liver disease, 5 scales of cardiovascular risk, 4 atherogenic indices, and 3 scales of metabolic syndrome, among others). The results obtained were divided between personnel who perform their cleaning tasks in the hotel and catering industry and those in other sectors. Results The prevalence of obesity and arterial hypertension in cleaning workers was over 20% in both sexes. A similar amount was observed in moderate or high values on the REGICOR (Registre GIroní del COR) scale. More than 15% presented metabolic syndrome according to the NCEP ATPIII (National Cholesterol Education Program‐Adult Treatment Program III) criteria, while over 10% of women and 20% of men had a high risk of nonalcoholic fatty liver disease assessed with the fatty liver index. Conclusion Cardiovascular risk is higher, in both sexes, in the group of cleaning workers who work in companies other than hotels.

show abstract

Relative fat mass (RFM) as a new estimator of whole-body fat percentage ─ A cross-sectional study in American adult individuals

Cited by 211 publications

References 47 publications

Development and validation of body fat prediction models in American adults

Development and validation of body fat prediction models in American adults

Decomposition of Gender Differences in Body Mass Index in Saudi Arabia using Unconditional Quantile Regression: Analysis of National-Level Survey Data

Differences in cardiovascular risk levels between cleaning staff and hotel housekeepers

Contact Info

Product

Resources

About