Literature DB >> 17077066

Is the BMI cut-off level for Japanese females for obesity set too high? A consideration from a body composition perspective.

Masaharu Kagawa1, Kazuhiro Uenishi, Chiharu Kuroiwa, Miki Mori, Colin W Binns.   

Abstract

The aim of the study was to determine the sensitivity and specificity of the BMI cut-off points that have been applied in the National Nutritional Survey in Japan (NNS-J) for young Japanese females. The relationship between the body mass index (BMI) and percentage body fat (%BF) of 139 young Japanese females (aged 18-27 years old) was examined using dual energy x-ray absorptiometry (DXA) and anthropometry. The sensitivity and specificity of the BMI cut-off point that has been in use in Japan was compared with the cut-off point proposed for Asia-Pacific population (the WPRO classification). The regression equation calculated for the relationship between the BMI and %BF using the DXA scan data was %BF = -15.152+2.058*BMI; R2 = 0.612, SEE = 3.66. From this equation the BMI value that corresponded with %BF of 30% was calculated to be 21.9kg/m2 (95%CI: 16.9-28.6). From the sensitivity and specificity analysis, it was found that more than 90% of Japanese females with %BF >30% were misclassified as "not obese" when the BMI value of 25kg/m2 was used to identify obese individuals. The misclassification reduced to 60% when the BMI value of 23kg/m2 was used as a cut-off point. The results indicate that the current classification used in the NNS-J may not precisely reflect the obesity status of young Japanese females and a considerable proportion of females with a large fat deposition would be misclassified as not obese. The current study shows the importance of including detailed body composition assessments to determine obesity level of individuals.

Entities:  

Mesh:

Year:  2006        PMID: 17077066

Source DB:  PubMed          Journal:  Asia Pac J Clin Nutr        ISSN: 0964-7058            Impact factor:   1.662


  7 in total

1.  Rapid weight gain in early infancy is associated with adult body fat percentage in young women.

Authors:  Mari Oyama; Toshiko Saito; Kazutoshi Nakamura
Journal:  Environ Health Prev Med       Date:  2010-05-18       Impact factor: 3.674

2.  The performance of anthropometric tools to determine obesity: a systematic review and meta-analysis.

Authors:  Isolde Sommer; Birgit Teufer; Monika Szelag; Barbara Nussbaumer-Streit; Viktoria Titscher; Irma Klerings; Gerald Gartlehner
Journal:  Sci Rep       Date:  2020-07-29       Impact factor: 4.379

3.  Upper body fat predicts metabolic syndrome similarly in men and women.

Authors:  Scott M Grundy; Corbin Williams; Gloria L Vega
Journal:  Eur J Clin Invest       Date:  2018-05-15       Impact factor: 4.686

4.  Cutoff Points of BMI for Classification of Nutritional Status Using Bioelectrical Impedance Analysis.

Authors:  Mirele S Mialich; Bruna R Silva; Alceu A Jordao
Journal:  J Electr Bioimpedance       Date:  2018-08-16

5.  Performance of body mass index in predicting diabetes and hypertension in the Eastern Province of Saudi Arabia.

Authors:  Ali M Almajwal; Nadira A Al-Baghli; Marijka J Batterham; Peter G Williams; Khalid A Al-Turki; Aqeel J Al-Ghamdi
Journal:  Ann Saudi Med       Date:  2009 Nov-Dec       Impact factor: 1.526

6.  Accuracy of the WHO's body mass index cut-off points to measure gender- and age-specific obesity in middle-aged adults living in the city of Rio de Janeiro, Brazil.

Authors:  Materko Wollner; Benchimol-Barbosa Paulo Roberto; Silva Carvalho Alysson Roncally; Nadal Jurandir; Luis Santos Edil
Journal:  J Public Health Res       Date:  2017-09-21

7.  Preoccupation with Body Weight and Under-Reporting of Energy Intake in Female Japanese Nutrition Students.

Authors:  Masaharu Kagawa; Andrew P Hills
Journal:  Nutrients       Date:  2020-03-20       Impact factor: 5.717

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.