Literature DB >> 31142689

Usefulness of relative fat mass in estimating body adiposity in Korean adult population.

Jeong Ki Paek1, Jongwoo Kim1, Kyunam Kim1, Seon Yeong Lee1.   

Abstract

Various indicators have been suggested as replacements of body mass index (BMI) for estimating body fat percentage, including the recently introduced relative fat mass (RFM). However, RFM has not been assessed in different ethnicities; therefore, we evaluated whether RFM can be used to estimate body fat percentage in Korean adults and whether RFM is a useful indicator of obesity. Based on the Korea National Health and Nutrition Examination Survey (KNHANES) 2008-2011, we analyzed a total of 18,706 individuals (7,970 men, 10,643 women) aged ≥20 years who underwent dual-energy X-ray absorptiometry. We compared obesity (body fat ≥25% for men, 35% for women) misclassification rate of RFM (≥25 for men, 35 for women) and BMI (≥25 kg/m2). Diagnostic accuracy and optimal cut-offs of BMI and RFM were verified by comparing area under the receiver operating characteristic curve (AUC). RFM and BMI misclassification rates were similar obesity diagnosis based on body fat percentage (27.9% vs. 27.8%) among men. RFM misclassification rate was lower than that of BMI (22% vs. 45%) in women. AUC of RFM was higher in men (AUC: 0.79 vs. 0.78; p = 0.004) and lower in women (AUC: 0.80 vs. 0.83) than those of BMI (p < 0.001). In this study, RFM showed diagnostic accuracy for detecting excess body fat percentage, comparable to that of BMI. Using RFM with BMI could be beneficial in improving the diagnostic accuracy of obesity assessment in women.

Entities:  

Keywords:  Adiposity; Body mass index; Obesity; Relative fat mass

Year:  2019        PMID: 31142689     DOI: 10.1507/endocrj.EJ19-0064

Source DB:  PubMed          Journal:  Endocr J        ISSN: 0918-8959            Impact factor:   2.349


  4 in total

1.  Validity and accuracy of body fat prediction equations using anthropometrics measurements in adolescents.

Authors:  Wagner L Ripka; Camila E Orsso; Andrea M Haqq; Carla M Prado; Leandra Ulbricht; Neiva Leite
Journal:  Eat Weight Disord       Date:  2020-05-19       Impact factor: 4.652

2.  A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations.

Authors:  Rafael Molina-Luque; Aina M Yañez; Miquel Bennasar-Veny; Manuel Romero-Saldaña; Guillermo Molina-Recio; Ángel-Arturo López-González
Journal:  Int J Environ Res Public Health       Date:  2020-10-29       Impact factor: 3.390

3.  Predictive value of relative fat mass algorithm for incident hypertension: a 6-year prospective study in Chinese population.

Authors:  Peng Yu; Teng Huang; Senlin Hu; Xuefeng Yu
Journal:  BMJ Open       Date:  2020-10-16       Impact factor: 2.692

4.  Association between Basal Metabolic Rate and Handgrip Strength in Older Koreans.

Authors:  Sung-Kwan Oh; Da-Hye Son; Yu-Jin Kwon; Hye Sun Lee; Ji-Won Lee
Journal:  Int J Environ Res Public Health       Date:  2019-11-09       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.