Evidence map›Paper›PMID 28888823›Full record

ArticlePreventive medicine2017

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

Jennifer L Moss, Benmei Liu, Li Zhu

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jennifer L MossCancer Prevention Fellowship Program, Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Drive, Room 4E514, MSC 9765, Bethesda, MD 20892-9765, USA. Electronic address: Jennifer.moss@nih.gov.
Benmei LiuStatistical Research and Applications Branch, Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Drive, Room 4E540, MSC 9765, Bethesda, MD 20892-9765, USA. Electronic address: liub2@mail.nih.gov.
Li ZhuStatistical Research and Applications Branch, Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Drive, Room 4E346, MSC 9765, Bethesda, MD 20892-9765, USA. Electronic address: zhul2@mail.nih.gov.

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

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.

Indexed as

Adolescent HealthHealth BehaviorHealth StatusAdolescentBody WeightDiet, HealthyExerciseFemaleHumansMaleSurveys and QuestionnairesUnited StatesAdolescent healthBody mass indexCancer preventionEnergy balanceFruit and vegetable consumptionGeographic disparitiesHealthy weightNutritionOverweight/obesityPhysical activity

Identifiers

PMID28888823
PMCPMC5653428

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.