Evidence map›Paper›PMID 32271758›Full record

ArticlePloS one2020

Physical fitness disparities among New York City public school youth using standardized methods, 2006-2017.

Kevin J Konty, Sophia E Day, Michael Larkin, Hannah R Thompson, Emily M D'Agostino

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Body Composition and Physical Fitness in Madeira Youth.Children (Basel, Switzerland) · 2022
    Article
  10. Article
  11. Article
  12. 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

5 authors.

Kevin J KontyNYC Department of Health and Mental Hygiene, Office of School Health, New York City, New York, United States of America.
Sophia E DayNYC Department of Health and Mental Hygiene, Office of School Health, New York City, New York, United States of America.
Michael LarkinLearning, Teaching and Assessment, Plainedge School District, Massapequa, NY, United States of America.
Hannah R ThompsonDepartment of Community Health Sciences, School of Public Health, University of California Berkley, Berkeley, California, United States of America.
Emily M D'AgostinoDepartment of Epidemiology and Biostatistics, Graduate School of Public Health and Heath Policy, City University of New York, New York City, New York, United States of America.ORCID 0000-0003-0468-4836

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standardized physical fitness monitoring provides a more accurate proxy for youth health when compared with physical activity. Little is known about the utilization of broad-scale individual-level youth physical fitness testing to explore health disparities. We examined longitudinal trends in population-level fitness for 4th-12th grade New York City youth during 2006/7-2016/17 (average n = 510,293 per year). Analyses were performed in 2019. The primary outcome was whether or not youth achieved sex-/age-specific performance levels (called the Healthy Fitness Zone) on the aerobic capacity, muscular strength and muscular endurance tests using the NYC FITNESSGRAM. The Cooper Institute's most recent Healthy Fitness Zone criteria were applied to all tests and years. Prevalence estimates were weighted, accounted for school clustering, adjusted for student-level sociodemographics, and run by sociodemographic subgroups and year. The overall prevalence for meeting 3 Healthy Fitness Zones increased from 15.5% (95%CI: 13.9%-17.0%) in 2006/7 to 23.3% (95%CI: 22.2%-24.4%) in 2016/17 for students in grades 4-12. Fitness for all student groups increased over time, although Hispanic and non-Hispanic black girls consistently had the lowest prevalence of meeting 3 Healthy Fitness Zones as compared to all other race/sex subgroups. Also, 9th-12th graders had a lower prevalence of meeting 3 Healthy Fitness Zones as compared to 4th-8th graders. Given forecasted sharp increases in cardiovascular disease prevalence, routine youth fitness surveillance using standardized, criterion referenced methods can identify important fitness disparities and inform interventions.

Indexed as

Health Status DisparitiesAdolescentAge FactorsCardiovascular DiseasesChildExercise TestFemaleHumansLongitudinal StudiesMaleNew York CityPhysical FitnessPrevalenceSchoolsSex FactorsStudents

Identifiers

PMID32271758
PMCPMC7144992

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.