Evidence map›Paper›PMID 25074589›Full record

ArticleBMC public health2014

Factors associated with low fitness in adolescents--a mixed methods study.

Richard Charlton, Michael B Gravenor, Anwen Rees, Gareth Knox, Rebecca Hill, Muhammad A Rahman, Kerina Jones, Danielle Christian, Julien S Baker, Gareth Stratton and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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.

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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  6. Article
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  8. Observational
  9. Article
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  20. Closing the Gap: Supporting Patients' Transition to Self-Management after Hospitalization.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2016
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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

11 authors at 4 institutions in 1 country.

Richard Charlton
Michael B Gravenor
Anwen Rees
Gareth Knox
Rebecca Hill
Muhammad A Rahman
Kerina Jones
Danielle Christian
Julien S Baker
Gareth Stratton
Sinead BrophyCollege of Medicine, Swansea University, Swansea SA2 8PP, UK. s.brophy@swansea.ac.uk.
Swansea University · GBCardiff Metropolitan University · GBHartpury University · GBUniversity of the West of Scotland · GB

Funding

Medical Research Council MR/K006525/1Medical Research Council MR/K023233/1
6 · The paper itself

Abstract

backgroundFitness and physical activity are important for cardiovascular and mental health but activity and fitness levels are declining especially in adolescents and among girls. This study examines clustering of factors associated with low fitness in adolescents in order to best target public health interventions for young people.

methods1147 children were assessed for fitness, had blood samples, anthropometric measures and all data were linked with routine electronic data to examine educational achievement, deprivation and health service usage. Factors associated with fitness were examined using logistic regression, conditional trees and data mining cluster analysis. Focus groups were conducted with children in a deprived school to examine barriers and facilitators to activity for children in a deprived community.

resultsUnfit adolescents are more likely to be deprived, female, have obesity in the family and not achieve in education. There were 3 main clusters for risk of future heart disease/diabetes (high cholesterol/insulin); children at low risk (not obese, fit, achieving in education), children 'visibly at risk' (overweight, unfit, many hospital/GP visits) and 'invisibly at risk' (unfit but not overweight, failing in academic achievement). Qualitative findings show barriers to physical activity include cost, poor access to activity, lack of core physical literacy skills and limited family support.

conclusionsLow fitness in the non-obese child can reveal a hidden group who have high risk factors for heart disease and diabetes but may not be identified as they are normal weight. In deprived communities low fitness is associated with non-achievement in education but in non-deprived communities low fitness is associated with female gender. Interventions need to target deprived families and schools in deprived areas with community wide campaigns.

Indexed as

ExerciseObesityPhysical FitnessAchievementAdolescentChildCholesterolDiabetes MellitusEducational StatusFamilyFemaleHealth PromotionHealth Services AccessibilityHeart DiseasesHumansInsulinCholesterolInsulin

Identifiers

PMID25074589
PMCPMC4132898
OpenAlexW2147962919

What OpenQuestion holds

Textmetadata
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.