ArticlePreventive medicine2017
Comparing percentages and ranks of adolescent weight-related outcomes among U.S. states: Implications for intervention development.
Article in Preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Social jetlag, eating behaviours and BMI among adolescents in the USA.The British journal of nutrition · 2020Article
- Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Minority Preadolescents: Protocol for a Pilot Randomized Control Trial.JMIR research protocols · 2018Article
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Authors and funding
3 authors.
Funding
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.
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