Prevalence of High Body Mass Index in US Children and Adolescents, 2007-2008

National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD 20782, USA.
JAMA The Journal of the American Medical Association (Impact Factor: 35.29). 01/2010; 303(3):242-9. DOI: 10.1001/jama.2009.2012
Source: PubMed

ABSTRACT The prevalence of high body mass index (BMI) among children and adolescents in the United States appeared to plateau between 1999 and 2006.
To provide the most recent estimates of high BMI among children and adolescents and high weight for recumbent length among infants and toddlers and to analyze trends in prevalence between 1999 and 2008.
The National Health and Nutrition Examination Survey 2007-2008, a representative sample of the US population with measured heights and weights on 3281 children and adolescents (2 through 19 years of age) and 719 infants and toddlers (birth to 2 years of age).
Prevalence of high weight for recumbent length (> or = 95th percentile of the Centers for Disease Control and Prevention growth charts) among infants and toddlers. Prevalence of high BMI among children and adolescents defined at 3 levels: BMI for age at or above the 97th percentile, at or above the 95th percentile, and at or above the 85th percentile of the BMI-for-age growth charts. Analyses of trends by age, sex, and race/ethnicity from 1999-2000 to 2007-2008.
In 2007-2008, 9.5% of infants and toddlers (95% confidence interval [CI], 7.3%-11.7%) were at or above the 95th percentile of the weight-for-recumbent-length growth charts. Among children and adolescents aged 2 through 19 years, 11.9% (95% CI, 9.8%-13.9%) were at or above the 97th percentile of the BMI-for-age growth charts; 16.9% (95% CI, 14.1%-19.6%) were at or above the 95th percentile; and 31.7% (95% CI, 29.2%-34.1%) were at or above the 85th percentile of BMI for age. Prevalence estimates differed by age and by race/ethnic group. Trend analyses indicate no significant trend between 1999-2000 and 2007-2008 except at the highest BMI cut point (BMI for age > or = 97th percentile) among all 6- through 19-year-old boys (odds ratio [OR], 1.52; 95% CI, 1.17-2.01) and among non-Hispanic white boys of the same age (OR, 1.87; 95% CI, 1.22-2.94).
No statistically significant linear trends in high weight for recumbent length or high BMI were found over the time periods 1999-2000, 2001-2002, 2003-2004, 2005-2006, and 2007-2008 among girls and boys except among the very heaviest 6- through 19-year-old boys.

Download full-text


Available from: Margaret Carroll, Sep 26, 2015
1 Follower
83 Reads
  • Source
    • "a University of North Carolina at Chapel Hill, Gillings School of Global Public Health, Department of Health Behavior, 358A Rosenau Hall, Nearly 5 million, or 31%, of all children and adolescents in the United States are overweight or obese (Ogden, Carroll, Curtin, Lamb, & Flegal, 2010). Without treatment, overweight adolescents are at an increased risk of becoming overweight adults (Singh, Mulder, Twisk, Van Mechelen, & Chinapaw, 2008). "
    [Show abstract] [Hide abstract]
    ABSTRACT: Peer support among adolescents has been positively associated with heath behaviors; however, enhancing peer support for weight loss has rarely been studied among adolescents. This study examined whether a peer support training component delivered to enhance a standard weight loss program led to improved outcomes. Forty-one overweight adolescent females were randomly assigned to a Standard or Enhanced Peer Support intervention. The Enhanced group received in person peer support skills training and practiced skills using social networking. At 16 weeks, participants in the Enhanced condition reported significantly increased perceptions of friend support. Both groups demonstrated significant weight loss (6.4 lbs, ± 8.3). Attendance and self-monitoring were associated with weight loss. Perceptions of peer support can be increased with a peer training component, but did not increase weight loss during the short term. Copyright © 2015 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.
    Journal of Adolescence 08/2015; 44:117-123. DOI:10.1016/j.adolescence.2015.07.010 · 2.05 Impact Factor
    • "The study sample consisted of overweight and obese (mean BMI ∼ 28 kg/m 2 , range = 21—41 kg/m 2 ) young adults (mean age ∼22 yrs, range = 18—30 yrs) (Table 2). Approximately 64% of the sample was overweight and obese (BMI ≥ 25 kg/m 2 ) with ∼24% classified as obese (BMI ≥ 30 kg/m 2 ), reflecting the weight distribution of young adults in the general population [1]. There were no significant differences in descriptive characteristics been participants randomly assigned to the development (n = 159, 75 women, 84 men, 39 obese, 120 nonobese ) or validation samples (n = 159, 89 women, 70 men, 37 obese, 122 non-obese). "
    [Show abstract] [Hide abstract]
    ABSTRACT: To develop and validate a REE prediction equation for young adults. Baseline data from two studies were pooled (N=318; women=52%) and randomly divided into development (n=159) and validation samples (n=159). REE was measured by indirect calorimetry. Stepwise regression was used to develop an equation to predict REE (University of Kansas (KU) equation). The KU equation and 5 additional REE prediction equations used in clinical practice (Mifflin-St. Jeor, Harris-Benedict, Owens, Frankenfield (2 equations)) were evaluated in the validation sample. There were no significant differences between predicted and measured REE using the KU equation for either men or women. The Mifflin-St. Jeor equation showed a non-significant mean bias in men; however, mean bias was statistically significant in women. The Harris-Benedict equation significantly over-predicted REE in both men and women. The Owens equation showed a significant mean bias in both men and women. Frankenfield equations #1 and #2 both significantly over-predicted REE in non-obese men and women. We found no significant differences between measured REE and REE predicted by the Frankenfield #2 equations in obese men and women. The KU equation, which uses easily assessed characteristics (age, sex, weight) may offer better estimates of REE in young adults compared with the 5 other equations. The KU equation demonstrated adequate prediction accuracy, with approximately equal rates of over and under-prediction. However, enthusiasm for recommending any REE prediction equations evaluated for use in clinical weight management is damped by the highly variable individual prediction error evident with all these equations. Copyright © 2015 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.
    Obesity Research & Clinical Practice 07/2015; DOI:10.1016/j.orcp.2015.07.002 · 1.18 Impact Factor
  • Source
    • "The need to improve the overall dietary habits of children has received extensive attention in recent years, due to a significant increase in the incidence of childhood obesity over the past three decades. The percentage of children aged 6–11 years in the United States who were obese increased from 7% in 1980 to nearly 20% in 2008 according to the National Health and Nutrition Examination Survey (NHANES) [1]. Children and adolescents who are obese are much more likely to be obese as adults and are at an increased risk for chronic diseases [2] [3]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: This is a report of ten-year trends in US fifth-grade student knowledge of fruit and vegetable (FV) recommendations, behavioral intent, consumption, and relationships between FV knowledge, behavioral intent and behavior. The study was conducted from 2001-2011 through the Healthy Hearts for Kids (HH4K) online instructional program. A total of 17,559 students from 1,048 schools in 49 US states participated. ANOVA and Pearson product-moment correlations were calculated for all variables. Significant changes over the 10-years were found for knowledge of FV recommendations, fruit consumption, intention to consume FV immediately and in one year, and to choose fruits rather than candy tomorrow and in one year. Effect size was small for all variables. No significant changes in vegetable consumption were found. Generally, data revealed significant correlations between behavior and intent items, but not knowledge. Despite ongoing efforts to inform children about FV consumption, there has been minimal change in fifth-grade children’s overall FV knowledge, behavior and intent, revealing a need for more than just knowledge based education and interventions. It is critical that effectiveness, sustainability and scalability be considered with future interventions.
Show more