Evidence map›Paper›PMID 26370099›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2016

The application of a network approach to Health-Related Quality of Life (HRQoL): introducing a new method for assessing HRQoL in healthy adults and cancer patients.

Jolanda J Kossakowski, Sacha Epskamp, Jacobien M Kieffer, Claudia D van Borkulo, Mijke Rhemtulla, Denny Borsboom

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Core dimensions of intimate relationship quality: Network analyses from the prenatal to postnatal period.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2025
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  18. Exploring the interconnectedness between health-related quality of life factors among long-term adolescent and young adult cancer survivors (AYAs): a network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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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

6 authors.

Jolanda J KossakowskiDepartment of Psychology, University of Amsterdam, Weesperplein 4, 1018 WZ, Amsterdam, The Netherlands. j.j.kossakowski@uva.nl.ORCID http://orcid.org/0000-0002-6946-1732
Sacha EpskampDepartment of Psychology, University of Amsterdam, Weesperplein 4, 1018 WZ, Amsterdam, The Netherlands.
Jacobien M KiefferDivision of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
Claudia D van BorkuloDepartment of Psychology, University of Amsterdam, Weesperplein 4, 1018 WZ, Amsterdam, The Netherlands.
Mijke RhemtullaDepartment of Psychology, University of Amsterdam, Weesperplein 4, 1018 WZ, Amsterdam, The Netherlands.
Denny BorsboomDepartment of Psychology, University of Amsterdam, Weesperplein 4, 1018 WZ, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHealth-Related Quality of Life (HRQoL) research has typically adopted either a formative approach, in which HRQoL is the common effect of its observables, or a reflective approach--defining HRQoL as a latent variable that determines observable characteristics of HRQoL. Both approaches, however, do not take into account the complex organization of these characteristics. The objective of this study was to introduce a new approach for analyzing HRQoL data, namely a network model (NM). An NM, as opposed to traditional research strategies, accounts for interactions among observables and offers a complementary analytic approach.

methodsWe applied the NM to samples of Dutch cancer patients (N = 485) and Dutch healthy adults (N = 1742) who completed the 36-item Short Form Health Survey (SF-36). Networks were constructed for both samples separately and for a combined sample with diagnostic status added as an extra variable. We assessed the network structures and compared the structures of the two separate samples on the item and domain levels. The relative importance of individual items in the network structures was determined using centrality analyses.

resultsWe found that the global structure of the SF-36 is dominant in all networks, supporting the validity of questionnaire's subscales. Furthermore, results suggest that the network structure of both samples was highly similar. Centrality analyses revealed that maintaining a daily routine despite one's physical health predicts HRQoL levels best.

conclusionsWe concluded that the NM provides a fruitful alternative to classical approaches used in the psychometric analysis of HRQoL data.

Indexed as

Health StatusNeoplasmsQuality of LifeAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPsychometricsSurveys and QuestionnairesCancerHealth-Related Quality of LifeNetwork analysisPsychometricsSF-36Short Form Health Survey

Identifiers

PMID26370099
PMCPMC4830856

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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.