TITLE

BMI and waist circumference at 7/8 yr and metabolic profile in adolescence

AUTHOR(S)
Garnett, S. P.; Baur, L. A.; Srinivasan, S.; Lee, J.; Cowell, C. T.
PUB. DATE
December 2005
SOURCE
Asia Pacific Journal of Clinical Nutrition;2005 Supplement, Vol. 14, pS47
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Background -- Estimates of the prevalence of overweight and obesity in young people are typically based on body mass index (BMI). However, BMI may not indicate the level of central adiposity. Waist circumference (WC) has therefore been recommended to identify young people at risk of morbidity associated with central adiposity. Objective -- To determine whether sex and age specific WC cut points at 7/8 yr are more effective at predicting elevated metabolic risk (metabolic syndrome) in adolescence compared to recognised BMI cut points. Design -- Anthropometric measurements were taken on 342 children in 1996/97. Seven years later blood pressure (BP) was measured in 270 children and fasting blood samples obtained from 174 of the children for measurement of lipids, glucose and insulin. Metabolic syndrome was defined as the presence of three or more of the following: overweight, high systolic BP, high triglycerides, low HDL cholesterol, high insulin and impaired fasting glucose. Outcomes -- The prevalence of the metabolic syndrome was 17.7%. Being overweight defined by WC (OR 3.6[95% CI: 1.7,8.0], P=0.002) at 7/8 yr was more strongly associated with the metabolic syndrome in adolescence compared to BMI (3.0[1.3,7.0], P=0.007). Being overweight, as defined by both BMI and WC at 7/8 yr, was also associated with high SBP in adolescence (2.1[1.1,4.2], P=0.048 and 2.0[1.1,3.7], P=0.031, respectively) but not with triglycerides, glucose or insulin concentrations. Conclusions -- Results from this study demonstrate the value of both WC and BMI at 7/8 yr in predicting an elevated metabolic risk in adolescence. Identifying predictors of risk factor clusters is important; clusters may track more than the individual risk factors.
ACCESSION #
35601747

 

Related Articles

  • Use of body mass index to identify obesity-related metabolic disorders in the Chinese population. Weng, X.; Liu, Y.; Ma, J.; Wang, W.; Yang, G.; Caballero, B. // European Journal of Clinical Nutrition;Aug2006, Vol. 60 Issue 8, p931 

    Objective:To identify the body mass index (BMI; in kg/m2) cutoff that predicts the risk for obesity-related metabolic disorders for the Chinese population.Design:Community-based cross-sectional survey.Setting:Rural regions of Jiangxi and Anhui provinces and an urban community of Jing'an District...

  • Body composition obtained from the body mass index. Martarelli, Daniele; Martarelli, Benedetta; Pompei, Pierluigi // European Journal of Nutrition;Dec2008, Vol. 47 Issue 8, p409 

    Since obesity and related diseases are now considered epidemic, new and more accurate formulas for epidemiological studies are of interest to the scientific community. Several equations have been proposed to estimate the body composition simply from anthropometric measurements. However, with...

  • BMI not the best guide.  // Pulse;8/10/2006, Vol. 66 Issue 31, p4 

    The article reports that Body Mass Index measurements are not useful in older people and should be replaced by waist-hip ratios. The study found that BMI overestimated risk of mortality from excess weight in those over 75 and might also underestimate the risks of low body weight. Waist-to-hip...

  • Running performance, not anthropometric factors, is associated with race success in a Triple Iron Triathlon. B Knechtle // British Journal of Sports Medicine;Jun2009, Vol. 43 Issue 6, p437 

    OBJECTIVES: To investigate the influence of anthropometric parameters on race performance in ultra-endurance triathletes. DESIGN: Descriptive field study. SETTING: The Triple Iron Triathlon Germany 2006 in Lensahn over 11.6 km swimming, 540 km cycling and 126.6 km running. SUBJECTS: 17 male...

  • Estimation of body composition in Indian population using skin-fold thickness and body-mass-index-based prediction equations: comparison and validation using under-water weighing machine. Sandhu, J. S.; Giniya, G.; Shenoy, S. // International Journal of Body Composition Research;2010, Vol. 8 Issue 2, p51 

    Objectives and methods: Numerous prediction equations using various anthropometric parameters are available for in- field assessment of body composition. Durnin and Womersley's four site skin-fold-thickness (ST)-based prediction equation is commonly used for the Indian population; whereas...

  • Can Body Mass Index (BMI) be used as a proxy for somatotype? Genovese, Jeremy E.C. // Social Science Journal;2009, Vol. 46 Issue 2, p390 

    Abstract: In a paper published in The Social Science Journal, Maddan et al. [Maddan, S., Walker, J. T., & Miller, J. M. (2008). Does size really matter? A reexamination of Sheldon''s somatotypes and criminal behavior. The Social Sciences Journal, 45, 330–344.] proposed that Body Mass...

  • Weighing obesity stigma: the relative strength of different forms of bias. Latner, J D; O'Brien, K S; Durso, L E; Brinkman, L A; MacDonald, T // International Journal of Obesity;Jul2008, Vol. 32 Issue 7, p1145 

    Objective:To compare the strength of weight bias to other common biases, and to develop a psychometrically sound measure to assess and compare bias against different targets.Subjects:A total of 368 university students (75.4% women, 47.6% white, mean age: 21.53 years, mean body mass index (BMI):...

  • Clinical Usefulness of a New Equation for Estimating Body Fat. Gómez-Ambrosi, Javier; Silva, Camilo; Catalán, Victoria; Rodríguez, Amaia; Galofré, Juan Carlos; Escalada, Javier; Valentí, Victor; Rotellar, Fernando; Romero, Sonia; Ramírez, Beatriz; Salvador, Javier; Frühbeck, Gema // Diabetes Care;Feb2012, Vol. 35 Issue 2, p383 

    OBJECTIVE--To assess the predictive capacity of a recently described equation that we have termed CUN-BAE (Clínica Universidad de Navarra-Body Adiposity Estimator) based on BMI, sex, and age for estimating body fat percentage (BF%) and to study its clinical usefulness. RESEARCH DESIGN AND...

  • Validity of self-reported height and weight for estimating prevalence of overweight among Estonian adolescents: the Health Behaviour in School-aged Children study. Aasvee, Katrin; Rasmussen, Mette; Kelly, Colette; Kurvinen, Elvira; Giacchi, Mariano Vincenzo; Ahluwalia, Namanjeet // BMC Research Notes;10/26/2015, Vol. 8, p1 

    Background: Low to moderate agreement between self-reported and directly measured anthropometry is shown in studies for adults and children. However, this issue needs further evaluation during puberty, a period marked by several transitions. We examined the correspondence of BMI status based on...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics