Literature DB >> 15976154

Utility of childhood BMI in the prediction of adulthood disease: comparison of national and international references.

Ian Janssen1, Peter T Katzmarzyk, Sathanur R Srinivasan, Wei Chen, Robert M Malina, Claude Bouchard, Gerald S Berenson.   

Abstract

OBJECTIVE: To determine whether the U.S. Centers for Disease Control and Prevention (CDC; CDC Reference) or International Obesity Task Force (IOTF; IOTF Reference) BMI cut-off points for classifying adiposity status in children are more effective at predicting future health risk. RESEARCH METHODS AND PROCEDURES: The sample (N=1709) included 4- to 15-year-old (at baseline) boys and girls from the Bogalusa Heart Study. Overweight and obesity status were determined using both the CDC Reference and IOTF Reference BMI cut-off points at baseline. The ability of childhood overweight and obesity, determined from the two BMI classification systems, to predict obesity and metabolic disorders in young adulthood (after a 13- to 24-year follow-up) was then compared.
RESULTS: Independently of the classification system employed to determine adiposity based on childhood BMI, the odds of being obese and having all of the metabolic disorders in young adulthood were significantly (p<0.05) higher in the overweight and obese groups by comparison with the nonoverweight groups. Childhood overweight and obesity, determined by both the CDC Reference and IOTF Reference, had a low sensitivity and a high specificity for predicting obesity and metabolic disorders in young adulthood. Overweight and obesity as determined by the CDC Reference were slightly more sensitive and slightly less specific than the corresponding values based on the IOTF Reference. DISCUSSION: Overweight and obesity during childhood, as determined by both the CDC and IOTF BMI cut-off points, are strong predictors of obesity and coronary heart disease risk factors in young adulthood. The differences in the predictive capacity of the CDC Reference and IOTF Reference are, however, minimal.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15976154     DOI: 10.1038/oby.2005.129

Source DB:  PubMed          Journal:  Obes Res        ISSN: 1071-7323


  63 in total

1.  Objectively Measured Disrupted Sleep Is Independently and Directly Associated With Low Exercise Capacity in Males: A Structural Equation Model.

Authors:  Ren-Jing Huang; Shin-Da Lee; Ching-Hsiang Lai; Shen-Wen Chang; Ai-Hui Chung; Chiung-Wei Chen; I-Ning Huang; Hua Ting
Journal:  J Clin Sleep Med       Date:  2018-12-15       Impact factor: 4.062

2.  Appropriateness of US and international BMI-for-age reference curves in defining adiposity among Israeli school children.

Authors:  Michael Huerta; Michael Gdalevich; Alla Tlashadze; Shimon Scharf; Menachem Schlezinger; Ori Efrati; Haim Bibi
Journal:  Eur J Pediatr       Date:  2006-09-20       Impact factor: 3.183

3.  The association of screen time, television in the bedroom, and obesity among school-aged youth: 2007 National Survey of Children's Health.

Authors:  Holly Wethington; Liping Pan; Bettylou Sherry
Journal:  J Sch Health       Date:  2013-08       Impact factor: 2.118

4.  Evaluating body composition in infancy and childhood: A comparison between 4C, QMR, DXA, and ADP.

Authors:  Melissa E Heard-Lipsmeyer; Holly Hull; Clark R Sims; Mario A Cleves; Aline Andres
Journal:  Pediatr Obes       Date:  2020-01-27       Impact factor: 4.000

5.  Is BMI a valid measure of obesity in postmenopausal women?

Authors:  Hailey R Banack; Jean Wactawski-Wende; Kathleen M Hovey; Andrew Stokes
Journal:  Menopause       Date:  2018-03       Impact factor: 2.953

Review 6.  Treatment of dyslipidemia in children and adolescents.

Authors:  Kathryn Wood Holmes; Peter Oscar Kwiterovich
Journal:  Curr Cardiol Rep       Date:  2005-11       Impact factor: 2.931

7.  The relationship between childhood BMI and adult serum cholesterol, LDL, and ankle brachial index.

Authors:  M E Sundaram; R L Berg; C Economos; L A Coleman
Journal:  Clin Med Res       Date:  2014-01-10

8.  Anthropometric measurements for the prediction of the metabolic syndrome: a cross-sectional study on adolescents and young adults from southern india.

Authors:  S K Vasan; N Thomas; S Christopher; F S Geethanjali; T V Paul; C B Sanjeevi
Journal:  Heart Asia       Date:  2011-01-01

9.  Overweight in Latino preschoolers: do parental health beliefs matter?

Authors:  Margaret Kersey; Rebecca Lipton; Michael T Quinn; John D Lantos
Journal:  Am J Health Behav       Date:  2010 May-Jun

10.  Influence of muscle fitness test performance on metabolic risk factors among adolescent girls.

Authors:  Jorge Mota; Susana Vale; Clarice Martins; Anelise Gaya; Carla Moreira; Rute Santos; José C Ribeiro
Journal:  Diabetol Metab Syndr       Date:  2010-06-23       Impact factor: 3.320

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.