Evidence map›Paper›PMID 25415751›Full record

ArticlePloS one2014

Pediatric health-related quality of life: a structural equation modeling approach.

Ester Villalonga-Olives, Ichiro Kawachi, Josué Almansa, Claudia Witte, Benjamin Lange, Christiane Kiese-Himmel, Nicole von Steinbüchel

Abstract read
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 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
–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

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

  1. Pooled it
  2. Pooled it
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  6. The Quality of Life of Children with Epilepsy and the Impact of the Disease on the Family Functioning.International journal of environmental research and public health · 2022
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  12. Neonatal risk mortality scores as predictors for health-related quality of life of infants treated in NICU: a prospective cross-sectional study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
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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

7 authors.

Ester Villalonga-OlivesInstitute of Medical Psychology and Medical Sociology, Georg-August-University Göttingen, Göttingen, Germany; Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Ichiro KawachiDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Josué AlmansaDepartment of Health Sciences, Community and Occupational Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Claudia WitteInstitute of Medical Psychology and Medical Sociology, Georg-August-University Göttingen, Göttingen, Germany.
Benjamin LangeInstitute of Medical Psychology and Medical Sociology, Georg-August-University Göttingen, Göttingen, Germany.
Christiane Kiese-HimmelInstitute of Medical Psychology and Medical Sociology, Georg-August-University Göttingen, Göttingen, Germany.
Nicole von SteinbüchelInstitute of Medical Psychology and Medical Sociology, Georg-August-University Göttingen, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOne of the most referenced theoretical frameworks to measure Health Related Quality of Life (HRQoL) is the Wilson and Cleary framework. With some adaptions this framework has been validated in the adult population, but has not been tested in pediatric populations. Our goal was to empirically investigate it in children.

methodsThe contributory factors to Health Related Quality of Life that we included were symptom status (presence of chronic disease or hospitalizations), functional status (developmental status), developmental aspects of the individual (social-emotional) behavior, and characteristics of the social environment (socioeconomic status and area of education). Structural equation modeling was used to assess the measurement structure of the model in 214 German children (3-5 years old) participating in a follow-up study that investigates pediatric health outcomes.

resultsModel fit was χ2 = 5.5; df = 6; p = 0.48; SRMR  = 0.01. The variance explained of Health Related Quality of Life was 15%. Health Related Quality of Life was affected by the area education (i.e. where kindergartens were located) and development status. Developmental status was affected by the area of education, socioeconomic status and individual behavior. Symptoms did not affect the model.

conclusionsThe goodness of fit and the overall variance explained were good. However, the results between children' and adults' tests differed and denote a conceptual gap between adult and children measures. Indeed, there is a lot of variety in pediatric Health Related Quality of Life measures, which represents a lack of a common definition of pediatric Health Related Quality of Life. We recommend that researchers invest time in the development of pediatric Health Related Quality of Life theory and theory based evaluations.

Indexed as

Models, TheoreticalQuality of LifeSurveys and QuestionnairesChild, HospitalizedChild, PreschoolChild WelfareFemaleFollow-Up StudiesGermanyHealth SurveysHumansMaleSocial Class

Identifiers

PMID25415751
PMCPMC4240546

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.