Evidence map›Paper›PMID 25384048›Full record

ArticlePloS one2014

Health behaviour in children and adolescents with type 1 diabetes compared to a representative reference population.

Sebastian Kummer, Anna Stahl-Pehe, Katty Castillo, Christina Bächle, Christine Graf, Klaus Straßburger, Burak Salgin, Ertan Mayatepek, Guido Giani, Reinhard W Holl and 2 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Type 1 Diabetes Mellitus in Pediatric Patients and Its Impact on Relationships in the Family Environment.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
  9. Article
  10. Review
  11. 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

12 authors.

Sebastian KummerDepartment of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital, Duesseldorf, Germany.
Anna Stahl-PeheInstitute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at Heinrich Heine University, Duesseldorf, Germany.
Katty CastilloInstitute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at Heinrich Heine University, Duesseldorf, Germany.
Christina BächleInstitute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at Heinrich Heine University, Duesseldorf, Germany.
Christine GrafInstitute of Movement and Neurosciences, German Sport University, Cologne, Germany.
Klaus StraßburgerInstitute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at Heinrich Heine University, Duesseldorf, Germany.
Burak SalginDepartment of Paediatrics, Cambridge University, Addenbrooke's Hospital, Cambridge, United Kingdom.
Ertan MayatepekDepartment of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital, Duesseldorf, Germany.
Guido GianiInstitute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at Heinrich Heine University, Duesseldorf, Germany.
Reinhard W HollInstitute for Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.
Thomas MeissnerDepartment of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital, Duesseldorf, Germany.
Joachim RosenbauerInstitute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at Heinrich Heine University, Duesseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe provide a population-based overview of health behaviours of children and adolescents with type 1 diabetes in comparison to the general population, and analyse their relevance for glycaemic control and self-rated health status.

methodsData from questionnaires of 11- to 17-year-old children and adolescents with diabetes (n = 629) were compared to a representative sample (n = 6,813).

resultsChildren and adolescents with type 1 diabetes had a significantly increased odds of infrequent physical activity (adjusted OR 1.56), short overall duration of physical activity per week (OR 1.55, difference -1.3 hours/week), and high daily computer use (OR 2.51). They had a lower odds of active and passive smoking (OR 0.31 and OR 0.29), and high daily television time (OR 0.68). The odds of an at least good and excellent self-rated health status was increased with intense physical activity, and decreased with active smoking and prolonged daily use of computer and television. Active smoking and prolonged daily use of computer were associated with higher HbA1c.

conclusionsChildren and adolescents with type 1 diabetes showed a different profile of health behaviour. Their overall health may improve if their education stresses specifically frequent physical activity with longer overall duration and less frequent television or computer use.

Indexed as

Diabetes Mellitus, Type 1Health BehaviorAdolescentBlood GlucoseCase-Control StudiesChildChild, PreschoolFemaleHealth StatusHumansInfantInfant, NewbornMaleSurveys and QuestionnairesBlood Glucose

Identifiers

PMID25384048
PMCPMC4226508

What OpenQuestion holds

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LicenceCC BY
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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.