Evidence map›Paper›PMID 30412690›Full record

ArticlePreventing chronic disease2018

Obesity Among High School Students in the United States: Risk Factors and Their Population Attributable Fraction.

Edward Y Hu, Sujith Ramachandran, Kaustuv Bhattacharya, Sasikiran Nunna

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06067451 (Impact of SMART GOAL Setting Protocol on Body Weight and Metabolic Parameters in Children and Adolescents With Prediabetes; a Randomized Clinical Trial.), which is not on this map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% of its field
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.

NCT06067451 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Impact of SMART GOAL Setting Protocol on Body Weight and Metabolic Parameters in Children and Adolescents With Prediabetes; a Randomized Clinical Trial.

TypeinterventionalSponsorNorthwell HealthRan2023 to 2025Enrolled80ConditionsPreDiabetes, Adolescent Obesity, Behavior, Health, Nutritional and Metabolic DiseasesArmsSMART GOALS Setting Tool/ Protocol
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Video Games, Obesity, and Children.Current obesity reports · 2020
    Pooled it
  3. Cost-Effectiveness and Long-Term Savings of the Bright Bodies Intervention for Childhood Obesity.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023
    Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Physical Inactivity and the Role of Bullying Among Gender Minority Youth Participating in the 2017 and 2019 Youth Risk Behavior Survey.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Observational
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  15. 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

4 authors at 2 institutions in 2 countries.

Edward Y HuOxford High School, Oxford, Mississippi.
Sujith RamachandranDepartment of Pharmacy Administration, the University of Mississippi School of Pharmacy, University, Mississippi.
Kaustuv BhattacharyaDepartment of Pharmacy Administration, the University of Mississippi School of Pharmacy, University, Mississippi.
Sasikiran NunnaDepartment of Pharmacy Administration, the University of Mississippi School of Pharmacy, University, Mississippi.
University of Mississippi · USOxford Spires Academy · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe prevalence of obesity among children and adolescents in the United States is high. The aim of this study was to assess the association between modifiable risk factors and obesity and to estimate the population attributable fractions (PAFs) of modifiable risk factors among high school students in the United States.

methodsFor this retrospective study, we used a nationally representative sample of 15,624 students who participated in the 2015 Youth Risk Behavior Survey (YRBS). Obesity was defined as body mass index at or above the 95th percentile, based on sex- and age-specific data from the Centers for Disease Control and Prevention. We examined unhealthy dietary behaviors, physical inactivity, and other modifiable risk factors (tobacco use, alcohol consumption, and sleep). We used multivariable logistic regression, accounting for the complex survey design of YRBS, to assess the association between risk factors and obesity and to calculate PAFs. Confidence intervals of PAFs were estimated by using the jackknife repeated replication method.

resultsAmong all students included in the study, 13.9% were classified as obese. Not being on a sports team (odds ratio [OR], 1.61; 95% confidence interval [CI], 1.31-1.98), current tobacco use (OR, 1.42; 95% CI, 1.14-1.77), and watching television for 3 hours or more per day (OR, 1.38; 95% CI, 1.09-1.76) were significantly correlated with obesity. The combined PAF for all modifiable risk factors was 34.80% (95% CI, 32.09%-37.51%). The single modifiable risk factor with the largest PAF was not participating on a sports team (PAF, 16.57%; 95% CI, 15.30%-17.84%).

conclusionFindings about PAFs help demonstrate the importance of promoting physical activity, healthy diet, and other healthy lifestyles in reducing obesity among high school students in the United States.

Indexed as

ExerciseHealth Risk BehaviorsSedentary BehaviorAdolescentAlcohol DrinkingBehavioral Risk Factor Surveillance SystemCross-Sectional StudiesDiet, HealthyFemaleHumansLogistic ModelsMalePediatric ObesityPrevalenceRetrospective StudiesRisk Factors

Identifiers

PMID30412690
PMCPMC6266633
OpenAlexW2898866753

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.