Evidence map›Paper›PMID 42400679›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2026

Empirical comparison of health-related quality of life and subjective well-being measures in Australian adolescents.

Kaung Mon Winn, Maame Esi Woode, Gang Chen

Abstract readComparative Study
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Psychometric evaluation of the Disability Wellbeing Index (DWI) against the Adult Social Care Outcomes Toolkit (ASCOT) among people with disability.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  2. 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

3 authors.

Kaung Mon WinnCentre for Health Economics, Monash University, Caulfield Campus, Caulfield East, Melbourne, VIC, 3145, Australia. Kaung.Winn@monash.edu.ORCID http://orcid.org/0000-0002-4437-9409
Maame Esi WoodeCentre for Health Economics, Monash University, Caulfield Campus, Caulfield East, Melbourne, VIC, 3145, Australia.ORCID http://orcid.org/0000-0001-9138-8853
Gang ChenCentre for Health Economics, Monash University, Caulfield Campus, Caulfield East, Melbourne, VIC, 3145, Australia.ORCID http://orcid.org/0000-0002-8385-5965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth-related quality of life (HRQoL) and subjective well-being (SWB) are increasingly used to capture aspects of welfare beyond traditional health indicators; however, their conceptual distinction has not been fully resolved.

objectiveThis study examines the empirical relationships between HRQoL, measured using Child Health Utility 9D (CHU9D), EQ-5D-5L and EQ-5D-5L with psychosocial bolt-ons and SWB, measured using a 12-item Life Satisfaction Scale for Youth (LSS-Y) and the Disability Wellbeing Index (DWI), among Australian adolescents, and explores factors associated with these outcomes.

methodsA nationwide, quota-based online survey was administered to Australian adolescents aged 15-19 years. The survey included the above instruments and sociodemographic questions. Psychometric analyses, including Spearman's correlation, Kruskal-Wallis tests, and exploratory factor analyses (EFA), were conducted to examine interrelationships and latent structures. Regression analyses were used to identify factors associated with the outcome measures.

resultsData were collected from 1026 adolescents (44.5% female). Of these, 510 completed the CHU9D and 516 completed the EQ-5D-5L with psychosocial bolt-ons under a randomised design; all participants completed the LSS-Y and DWI. No HRQoL dimension showed strong correlations (Spearman's ρ > 0.60) with SWB dimensions, and EFA revealed limited overlap in latent constructs. Regression analyses identified general health, socioeconomic status, gender, migration status, and disability status as significant determinants of adolescents' health and well-being.

conclusionHRQoL and SWB are not interchangeable but provide complementary insights. Using both measures may offer a more comprehensive understanding of adolescents' overall well-being.

Indexed as

Health StatusPersonal SatisfactionQuality of LifeAdolescentAustraliaFemaleHumansMalePsychological Well-BeingPsychometricsSurveys and QuestionnairesYoung AdultCHU9DDWIEQ-5D-5LHealth-related quality of lifeSubjective well-being

Identifiers

PMID42400679
PMCPMC13332960

What Socratic holds

Textmetadata
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 Socratic graph.