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

被引:12
作者
Kupusinac, Aleksandar [1 ]
Stokic, Edita [2 ]
Sukic, Enes [3 ]
Rankov, Olivera [2 ]
Katic, Andrea [1 ]
机构
[1] Univ Novi Sad, Fac Tech Sci, Trg Dositeja Obradovica 6, YU-21000 Novi Sad, Serbia
[2] Univ Novi Sad, Fac Med, Hajduk Veljkova 3, YU-21000 Novi Sad, Serbia
[3] Univ Nis, Fac Elect Engn, Aleksandra Medvedeva 14, Nish 18000, Serbia
关键词
Artificial neural networks; Big data; Body mass index; Body fat percentage; Obesity; BIOELECTRICAL-IMPEDANCE; AGE; GENDER; SEX; EQUATIONS; FATNESS; RACE; BMI;
D O I
10.1007/s10916-016-0636-9
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Although body mass index (BMI) and body fat percentage (BF%) 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 BF% 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 BF% 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.
引用
收藏
页数:7
相关论文
共 25 条
[1]  
Abdul-Kareem S., 2000, HLTH INFORM J, V6, P162
[2]   Adipokines: The missing link between insulin resistance and obesity [J].
Antuna-Puente, B. ;
Feve, B. ;
Fellahi, S. ;
Bastard, J. -P. .
DIABETES & METABOLISM, 2008, 34 (01) :2-11
[4]  
Blum WF, 1997, J CLIN ENDOCR METAB, V82, P2904, DOI 10.1210/jc.82.9.2904
[5]  
Cai ZJ, 1999, WHO TECH REP SER, V887, P1
[6]   Influence of Race, Ethnicity, and Culture on Childhood Obesity: Implications for Prevention and Treatment [J].
Caprio, Sonia ;
Daniels, Stephen R. ;
Drewnowski, Adam ;
Kaufman, Francine R. ;
Palinkas, Lawrence A. ;
Rosenbloom, Arlan L. ;
Schwimmer, Jeffrey B. .
DIABETES CARE, 2008, 31 (11) :2211-2221
[7]   Aging in adipocytes: Potential impact of inherent, depot-specific mechanisms [J].
Cartwright, Mark J. ;
Tchkonia, Tamara ;
Kirkland, James L. .
EXPERIMENTAL GERONTOLOGY, 2007, 42 (06) :463-471
[8]   Serum immunoreactive leptin concentrations in normal-weight and obese humans [J].
Considine, RV ;
Sinha, MK ;
Heiman, ML ;
Kriauciunas, A ;
Stephens, TW ;
Nyce, MR ;
Ohannesian, JP ;
Marco, CC ;
McKee, LJ ;
Bauer, TL ;
Caro, JF .
NEW ENGLAND JOURNAL OF MEDICINE, 1996, 334 (05) :292-295
[9]  
Deurenberg P, 1998, INT J OBESITY, V22, P1164, DOI 10.1038/sj/ijo/0800741
[10]   BODY-MASS INDEX AS A MEASURE OF BODY FATNESS - AGE-SPECIFIC AND SEX-SPECIFIC PREDICTION FORMULAS [J].
DEURENBERG, P ;
WESTSTRATE, JA ;
SEIDELL, JC .
BRITISH JOURNAL OF NUTRITION, 1991, 65 (02) :105-114