Literature DB >> 28888823

Comparing percentages and ranks of adolescent weight-related outcomes among U.S. states: Implications for intervention development.

Jennifer L Moss1, Benmei Liu2, Li Zhu3.   

Abstract

Understanding statistical differences in states' percentages and ranks of adolescents meeting health behavior guidelines can guide policymaking. Data came from 531,777 adolescents (grades 9-12) who completed the Youth Risk Behavior Surveillance System survey in 2011, 2013, or 2015. We measured the percentage of adolescents in each state that met guidelines for physical activity, fruit and vegetable (F&V) consumption, and healthy weight status. Then we ranked states and calculated the ranks' 95% CI's using a Monte Carlo method with 100,000 simulations. We repeated these analyses stratified by sex (female or male) or race/ethnicity (non-Hispanic white, non-Hispanic black, Hispanic/Latino, or other). Pearson's and Spearman's correlation coefficients examined consistency in the percentages and ranks (respectively) across behaviors and subgroups. Meeting the physical activity and F&V consumption guidelines was relatively rare among adolescents (25.8% [95% CI=25.2%-26.4%] and 8.0% [95% CI=7.6%-8.3%], respectively), while meeting the healthy weight guideline was common (71.5% [95% CI=70.7%-72.3%]). At the state level, percentages of adolescents meeting these guidelines were statistically similar; states' ranks had wide CI's, resulting in considerable overlap (i.e., statistical equivalence). For each behavior, states' percentages and ranks were moderately to highly correlated across adolescent subgroups (Pearson's r=0.33-0.96; Spearman's r=0.42-0.96), but across behaviors, only F&V consumption and healthy weight were correlated (Pearson's r=0.34; Spearman's r=0.37). Adolescents in all states could benefit from initiatives to support cancer prevention behaviors, especially physical activity and F&V consumption. Programs in states that ranked highly on all assessed health behaviors could be adapted for dissemination in lower-performing states. Published by Elsevier Inc.

Entities:  

Keywords:  Adolescent health; Body mass index; Cancer prevention; Energy balance; Fruit and vegetable consumption; Geographic disparities; Healthy weight; Nutrition; Overweight/obesity; Physical activity

Mesh:

Year:  2017        PMID: 28888823      PMCID: PMC5653428          DOI: 10.1016/j.ypmed.2017.09.006

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  28 in total

1.  Inequality in the built environment underlies key health disparities in physical activity and obesity.

Authors:  Penny Gordon-Larsen; Melissa C Nelson; Phil Page; Barry M Popkin
Journal:  Pediatrics       Date:  2006-02       Impact factor: 7.124

Review 2.  The built environment and obesity.

Authors:  Mia A Papas; Anthony J Alberg; Reid Ewing; Kathy J Helzlsouer; Tiffany L Gary; Ann C Klassen
Journal:  Epidemiol Rev       Date:  2007-05-28       Impact factor: 6.222

3.  Ranking community health status to stimulate discussion of local public health issues: the Wisconsin County Health Rankings.

Authors:  Paul E Peppard; David A Kindig; Elizabeth Dranger; Amanda Jovaag; Patrick L Remington
Journal:  Am J Public Health       Date:  2008-01-02       Impact factor: 9.308

4.  Confidence intervals for ranks of age-adjusted rates across states or counties.

Authors:  Shunpu Zhang; Jun Luo; Li Zhu; David G Stinchcomb; Dave Campbell; Ginger Carter; Scott Gilkeson; Eric J Feuer
Journal:  Stat Med       Date:  2014-01-13       Impact factor: 2.373

Review 5.  Influence of school competitive food and beverage policies on obesity, consumption, and availability: a systematic review.

Authors:  Jamie F Chriqui; Margaret Pickel; Mary Story
Journal:  JAMA Pediatr       Date:  2014-03       Impact factor: 16.193

6.  Geography of Adolescent Obesity in the U.S., 2007-2011.

Authors:  Michael R Kramer; Ilana G Raskind; Miriam E Van Dyke; Stephen A Matthews; Jessica N Cook-Smith
Journal:  Am J Prev Med       Date:  2016-08-21       Impact factor: 5.043

7.  Validity of self-reported height and weight and predictors of bias in adolescents.

Authors:  Frank J Elgar; Chris Roberts; Chris Tudor-Smith; Laurence Moore
Journal:  J Adolesc Health       Date:  2005-11       Impact factor: 5.012

Review 8.  Physical activity and food environments: solutions to the obesity epidemic.

Authors:  James F Sallis; Karen Glanz
Journal:  Milbank Q       Date:  2009-03       Impact factor: 4.911

9.  Ethnic, socioeconomic, and sex differences in physical activity among adolescents.

Authors:  J F Sallis; J M Zakarian; M F Hovell; C R Hofstetter
Journal:  J Clin Epidemiol       Date:  1996-02       Impact factor: 6.437

10.  Adolescent obesity and social networks.

Authors:  Laura M Koehly; Aunchalee Loscalzo
Journal:  Prev Chronic Dis       Date:  2009-06-15       Impact factor: 2.830

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  2 in total

1.  Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Minority Preadolescents: Protocol for a Pilot Randomized Control Trial.

Authors:  May May Leung; Katrina F Mateo; Sandra Verdaguer; Katarzyna Wyka
Journal:  JMIR Res Protoc       Date:  2018-11-09

2.  Social jetlag, eating behaviours and BMI among adolescents in the USA.

Authors:  Gina Marie Mathew; Lauren Hale; Anne-Marie Chang
Journal:  Br J Nutr       Date:  2020-05-28       Impact factor: 4.125

  2 in total

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