Literature DB >> 10932673

The assessment of obesity: methods for measuring body fat and global prevalence of obesity.

P Deurenberg1, M Yap.   

Abstract

Fat is a normal component of the human body that is stored in adipose tissue. Obesity can be defined as a condition of excessive fat accumulation to the extent that health and well-being are affected. Body fat can be determined in vivo in different ways, using rather accurate laboratory techniques or using simple estimation techniques that can also be applied in field conditions. For population studies, the World Health Organization defines cut-off values for obesity based on the body mass index (BMI): weight/height squared (kg/m2). Generally, for adults, if the BMI exceeds 25 kg/m2, a subject is considered to be overweight, and if the BMI exceeds the value of 30 kg/m2, a subject is considered obese. However, the relationship between body fat percentage and BMI differs between ethnic groups, and, as a consequence, cut-off points for overweight and obesity based on BMI will have to be ethnicity specific. This means that, in some populations, the cut-off points could be lower or higher than the recommended figures. Adapting cut-off point values will have important consequences for prevalence data in some countries as the prevalence of obesity will dramatically increase or decrease. The prevalence of obesity, in children as well as in adults, is high in many countries all over the world and is rising. Given the impact of obesity on health, this is a public health issue that needs to be addressed seriously.

Entities:  

Mesh:

Year:  1999        PMID: 10932673     DOI: 10.1053/beem.1999.0003

Source DB:  PubMed          Journal:  Baillieres Best Pract Res Clin Endocrinol Metab


  30 in total

Review 1.  Obesity and chronic daily headache.

Authors:  Marcelo E Bigal; Alan M Rapoport
Journal:  Curr Pain Headache Rep       Date:  2012-02

2.  High prevalence of vitamin A deficiency in Crohn's disease patients according to serum retinol levels and the relative dose-response test.

Authors:  Márcia Soares-Mota; Tianny A Silva; Luanda M Gomes; Marco A S Pinto; Laura M C Mendonça; Maria Lúcia F Farias; Tiago Nunes; Andrea Ramalho; Cyrla Zaltman
Journal:  World J Gastroenterol       Date:  2015-02-07       Impact factor: 5.742

Review 3.  Body composition assessment for the definition of cardiometabolic risk.

Authors:  M C Amato; V Guarnotta; C Giordano
Journal:  J Endocrinol Invest       Date:  2013-04-23       Impact factor: 4.256

Review 4.  Assessment tools in obesity - psychological measures, diet, activity, and body composition.

Authors:  Laura Beechy; Jennie Galpern; Andrew Petrone; Sai Krupa Das
Journal:  Physiol Behav       Date:  2012-04-24

5.  Body mass index and blood glucose: correlations with serum insulin, growth hormone, and insulin-like growth factor-1 levels in patients with diffuse idiopathic skeletal hyperostosis (DISH).

Authors:  Charles W Denko; Charles J Malemud
Journal:  Rheumatol Int       Date:  2005-02-10       Impact factor: 2.631

6.  Fat storage is partially dependent on vagal activity and insulin secretion of hypothalamic obese rat.

Authors:  Sandra Lucinei Balbo; Sabrina Grassiolli; Rosane Aparecida Ribeiro; Maria Lúcia Bonfleur; Clarice Gravena; Marcia do Nascimento Brito; Ana Eliza Andreazzi; Paulo Cezar de Freitas Mathias; Rosana Torrezan
Journal:  Endocrine       Date:  2007-04       Impact factor: 3.633

7.  Prevalence of sarcopenia and associated risk factors by two diagnostic criteria in community-dwelling older men: the São Paulo Ageing & Health Study (SPAH).

Authors:  C P Figueiredo; D S Domiciano; J B Lopes; V F Caparbo; M Scazufca; E Bonfá; R M R Pereira
Journal:  Osteoporos Int       Date:  2013-07-27       Impact factor: 4.507

8.  Body mass index, body fat percentage, and the effect of body fat mass on SWL success.

Authors:  Ali Ferruh Akay; Abdullah Gedik; Ali Tutus; Hayrettin Sahin; Mehmet Kamuran Bircan
Journal:  Int Urol Nephrol       Date:  2007-03-16       Impact factor: 2.370

9.  Breast size and risk of type 2 diabetes mellitus.

Authors:  Joel G Ray; Anshu P Mohllajee; Rob M van Dam; Karin B Michels
Journal:  CMAJ       Date:  2008-01-29       Impact factor: 8.262

10.  Discriminating sarcopenia in community-dwelling older women with high frequency of overweight/obesity: the São Paulo Ageing & Health Study (SPAH).

Authors:  D S Domiciano; C P Figueiredo; J B Lopes; V F Caparbo; L Takayama; P R Menezes; E Bonfa; R M R Pereira
Journal:  Osteoporos Int       Date:  2012-05-16       Impact factor: 4.507

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.