School Mental Health

, Volume 4, Issue 1, pp 46–55

Perceived Weight Status Effect on Adolescent Health-Risk Behaviors: Findings from 2007 and 2009 Rhode Island Youth Risk Behavioral Survey

  • Yongwen Jiang
  • Patricia Markham Risica
  • William Arias
  • Donald Perry
  • Samara Viner-Brown
Original Paper

Abstract

The goal of this study is to systematically examine the associations between perceived weight status and selected health-risk behaviors among Rhode Island adolescents. We utilized the biennial 2007 and 2009 Rhode Island representative Youth Risk Behavior Survey data. The combined statewide sample contained 5,423 randomly selected public high school students. Perceived weight status was classified into very underweight, slightly underweight, about the right weight, slightly overweight, and very overweight according to the question “How do you describe your weight?” Adolescent’s body mass index (BMI) was calculated from self-reported height and weight. BMI percentile was categorized as extremely underweight, underweight, normal, overweight, and obese. Multivariable logistic regression models were used to analyze perceived weight status associated with six categories of priority health-risk factors. Perceived very underweight and very overweight were statistically significantly associated with 17 out of 22 health-risk behaviors. The relationships can be expressed as a “U”-shaped curve in terms of odds ratios in adolescents. There were no such similar consistent patterns between BMI percentile categories and health-risk behaviors. Perceived weight status, rather than BMI percentile categories, has an important influence on health-risk behaviors. Our results may assist health programs to intervene with high-risk students by changing their cognitive behaviors.

Keywords

Adolescent Health-risk behaviors Perceived weight status BMI percentile classification Youth risk behavioral survey 

Supplementary material

12310_2011_9068_MOESM1_ESM.doc (52 kb)
Supplementary material 1 (DOC 51 kb)

Copyright information

© Springer Science + Business Media, LLC 2011

Authors and Affiliations

  • Yongwen Jiang
    • 1
    • 2
  • Patricia Markham Risica
    • 2
  • William Arias
    • 1
  • Donald Perry
    • 1
  • Samara Viner-Brown
    • 1
  1. 1.Center for Health Data and AnalysisRhode Island Department of HealthProvidenceUSA
  2. 2.Department of Epidemiology, The Warren Alpert Medical SchoolBrown UniversityProvidenceUSA

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