Literature DB >> 27826765

What kind of Relationship is Between Body Mass Index and Body Fat Percentage?

Aleksandar Kupusinac1, Edita Stokić2, Enes Sukić3, Olivera Rankov2, Andrea Katić4.   

Abstract

Although body mass index (BMI) and body fat percentage (B F %) are well known as indicators of nutritional status, there are insuficient data whether the relationship between them is linear or not. There are appropriate linear and quadratic formulas that are available to predict B F % from age, gender and BMI. On the other hand, our previous research has shown that artificial neural network (ANN) is a more accurate method for that. The aim of this study is to analyze relationship between BMI and B F % by using ANN and big dataset (3058 persons). Our results show that this relationship is rather quadratic than linear for both gender and all age groups. Comparing genders, quadratic relathionship is more pronounced in women, while linear relationship is more pronounced in men. Additionaly, our results show that quadratic relationship is more pronounced in old than in young and middle-age men and it is slightly more pronounced in young and middle-age than in old women.

Entities:  

Keywords:  Artificial neural networks; Big data; Body fat percentage; Body mass index; Obesity

Mesh:

Year:  2016        PMID: 27826765     DOI: 10.1007/s10916-016-0636-9

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  22 in total

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

Authors:  P Deurenberg; J A Weststrate; J C Seidell
Journal:  Br J Nutr       Date:  1991-03       Impact factor: 3.718

Review 2.  Adipokines: the missing link between insulin resistance and obesity.

Authors:  B Antuna-Puente; B Feve; S Fellahi; J-P Bastard
Journal:  Diabetes Metab       Date:  2008-02       Impact factor: 6.041

3.  Obesity: preventing and managing the global epidemic. Report of a WHO consultation.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  2000

4.  Generalized equations for predicting body density of women.

Authors:  A S Jackson; M L Pollock; A Ward
Journal:  Med Sci Sports Exerc       Date:  1980       Impact factor: 5.411

5.  Plasma leptin levels in healthy children and adolescents: dependence on body mass index, body fat mass, gender, pubertal stage, and testosterone.

Authors:  W F Blum; P Englaro; S Hanitsch; A Juul; N T Hertel; J Müller; N E Skakkebaek; M L Heiman; M Birkett; A M Attanasio; W Kiess; W Rascher
Journal:  J Clin Endocrinol Metab       Date:  1997-09       Impact factor: 5.958

6.  Waist circumference and abdominal adipose tissue distribution: influence of age and sex.

Authors:  Jennifer L Kuk; SoJung Lee; Steven B Heymsfield; Robert Ross
Journal:  Am J Clin Nutr       Date:  2005-06       Impact factor: 7.045

7.  Serum immunoreactive-leptin concentrations in normal-weight and obese humans.

Authors:  R V Considine; M K Sinha; M L Heiman; A Kriauciunas; T W Stephens; M R Nyce; J P Ohannesian; C C Marco; L J McKee; T L Bauer
Journal:  N Engl J Med       Date:  1996-02-01       Impact factor: 91.245

8.  How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups?

Authors:  D Gallagher; M Visser; D Sepúlveda; R N Pierson; T Harris; S B Heymsfield
Journal:  Am J Epidemiol       Date:  1996-02-01       Impact factor: 4.897

Review 9.  Influence of race, ethnicity, and culture on childhood obesity: implications for prevention and treatment: a consensus statement of Shaping America's Health and the Obesity Society.

Authors:  Sonia Caprio; Stephen R Daniels; Adam Drewnowski; Francine R Kaufman; Lawrence A Palinkas; Arlan L Rosenbloom; Jeffrey B Schwimmer
Journal:  Diabetes Care       Date:  2008-11       Impact factor: 17.152

10.  Relationship between Body Mass Index (BMI) and body fat percentage, estimated by bioelectrical impedance, in a group of Sri Lankan adults: a cross sectional study.

Authors:  Chathuranga Ranasinghe; Prasanna Gamage; Prasad Katulanda; Nalinda Andraweera; Sithira Thilakarathne; Praveen Tharanga
Journal:  BMC Public Health       Date:  2013-09-03       Impact factor: 3.295

View more
  2 in total

Review 1.  Gender medicine: Lessons from COVID-19 and other medical conditions for designing health policy.

Authors:  Yossy Machluf; Yoram Chaiter; Orna Tal
Journal:  World J Clin Cases       Date:  2020-09-06       Impact factor: 1.337

2.  Influence of benzene exposure, fat content, and their interactions on erythroid-related hematologic parameters in petrochemical workers: a cross-sectional study.

Authors:  Xue Zhang; Qifei Deng; Zhini He; Jie Li; Xiaoju Ma; Zhaorui Zhang; Dehua Wu; Xiumei Xing; Jing Peng; Hongyu Guo; Ming Huang; Liping Chen; Shanfeng Dang; Yanqun Zhu; Zhengbao Zhang; Boyi Yang; Hailan Wang; Wen Chen; Yongmei Xiao
Journal:  BMC Public Health       Date:  2020-03-23       Impact factor: 3.295

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.