Literature DB >> 12769141

Quality of life for adolescents: assessing measurement properties using structural equation modelling.

Lynn B Meuleners1, Andy H Lee, Colin W Binns, Anthony Lower.   

Abstract

Assessments for quality of life (QOL) of the adolescent have received relatively little attention in the literature. Although there is no consensus on the definition of adolescent QOL and what aspects should be measured, it is generally accepted that QOL is a multidimensional construct. The objective of this study is to determine the measurement properties of the latent factors underlying adolescent QOL based on a second-order confirmatory factor analysis (CFA). A recursive structural equation model (SEM) is then proposed to determine the direction and magnitude of the interdependent effects among the latent factors. The questionnaire used was the Quality of Life Profile-Adolescent Version (QOLPAV). A sample of 363 adolescents was recruited from 20 secondary schools in Perth, Australia. The second-order CFA suggested that adolescent QOL may be measured by five underlying constructs namely social, environment, psychological, health, and opportunities for growth. The interdependent relations among these constructs identified the environment factor as primary, exerting both direct and indirect effects on the other four factors.

Mesh:

Year:  2003        PMID: 12769141     DOI: 10.1023/a:1023221913292

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  11 in total

1.  Distinguishing between quality of life and health status in quality of life research: a meta-analysis.

Authors:  K W Smith; N E Avis; S F Assmann
Journal:  Qual Life Res       Date:  1999-08       Impact factor: 4.147

Review 2.  Applications of structural equation modeling in psychological research.

Authors:  R C MacCallum; J T Austin
Journal:  Annu Rev Psychol       Date:  2000       Impact factor: 24.137

3.  Scaled test statistics and robust standard errors for non-normal data in covariance structure analysis: a Monte Carlo study.

Authors:  C P Chou; P M Bentler; A Satorra
Journal:  Br J Math Stat Psychol       Date:  1991-11       Impact factor: 3.380

Review 4.  Children's quality of life measures.

Authors:  C Eiser
Journal:  Arch Dis Child       Date:  1997-10       Impact factor: 3.791

Review 5.  Assessment of health-related quality of life in children and adolescents: an integrative review.

Authors:  L E Spieth; C V Harris
Journal:  J Pediatr Psychol       Date:  1996-04

6.  The Quality of Life Profile--Adolescent Version: background, description, and initial validation.

Authors:  D Raphael; E Rukholm; I Brown; P Hill-Bailey; E Donato
Journal:  J Adolesc Health       Date:  1996-11       Impact factor: 5.012

Review 7.  Quality of life: what is it? How should it be measured?

Authors:  N K Aaronson
Journal:  Oncology (Williston Park)       Date:  1988-05       Impact factor: 2.990

8.  Factor analysis, causal indicators and quality of life.

Authors:  P M Fayers; D J Hand
Journal:  Qual Life Res       Date:  1997-03       Impact factor: 4.147

9.  Development of a health-related quality of life instrument for use in children with spina bifida.

Authors:  P C Parkin; H M Kirpalani; P L Rosenbaum; D L Fehlings; A Van Nie; A R Willan; D King
Journal:  Qual Life Res       Date:  1997-03       Impact factor: 4.147

10.  Issues involved in the definition and classification of chronic health conditions.

Authors:  E C Perrin; P Newacheck; I B Pless; D Drotar; S L Gortmaker; J Leventhal; J M Perrin; R E Stein; D K Walker; M Weitzman
Journal:  Pediatrics       Date:  1993-04       Impact factor: 7.124

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  13 in total

1.  Some psychometric properties of the Pediatric Quality of Life Inventory™ Version 4.0 Generic Core Scales (PedsQL™) in the general Serbian population.

Authors:  Dejan Stevanović; Aneta Lakić; Maja Damnjanović
Journal:  Qual Life Res       Date:  2010-12-29       Impact factor: 4.147

2.  Quality of life profile--adolescent version: assessing the relationship of covariates to scale scores using structural equation modeling.

Authors:  Lynn B Meuleners; Andy H Lee
Journal:  Qual Life Res       Date:  2005-05       Impact factor: 4.147

3.  Do the SF-36 and WHOQOL-BREF measure the same constructs? Evidence from the Taiwan population*.

Authors:  I-Chan Huang; Albert W Wu; Constantine Frangakis
Journal:  Qual Life Res       Date:  2006-02       Impact factor: 4.147

Review 4.  Evaluating health-related quality-of-life studies in paediatric populations: some conceptual, methodological and developmental considerations and recent applications.

Authors:  Mirella De Civita; Dean Regier; Abul H Alamgir; Aslam H Anis; Mark J Fitzgerald; Carlo A Marra
Journal:  Pharmacoeconomics       Date:  2005       Impact factor: 4.981

5.  Assessment of Health-Related Quality of Life and Associated Factors Among HIV/AIDS Patients on Highly Active Antiretroviral Therapy (HAART) at Ambo General Hospital, West Shewa, Ethiopia.

Authors:  Hunduma Dinsa Ayeno; Kume Megersa Atomsa; Getu Melesie Taye
Journal:  HIV AIDS (Auckl)       Date:  2020-09-25

6.  Life satisfaction decreases during adolescence.

Authors:  Lutz Goldbeck; Tim G Schmitz; Tanja Besier; Peter Herschbach; Gerhard Henrich
Journal:  Qual Life Res       Date:  2007-04-12       Impact factor: 4.147

7.  Serbian KINDL questionnaire for quality of life assessments in healthy children and adolescents: reproducibility and construct validity.

Authors:  Dejan Stevanovic
Journal:  Health Qual Life Outcomes       Date:  2009-08-28       Impact factor: 3.186

8.  Impact of clinical and health services research projects on decision-making: a qualitative study.

Authors:  Maite Solans-Domènech; Paula Adam; Imma Guillamón; Gaietà Permanyer-Miralda; Joan M V Pons; Joan Escarrabill
Journal:  Health Res Policy Syst       Date:  2013-05-10

9.  Comparison of the self-administered and interviewer-administered modes of the child-OIDP.

Authors:  Georgios Tsakos; Eduardo Bernabé; Kevin O'Brien; Aubrey Sheiham; Cesar de Oliveira
Journal:  Health Qual Life Outcomes       Date:  2008-06-02       Impact factor: 3.186

10.  Evaluation of the Family Impact Scale for use in Brazil.

Authors:  Taís de Souza Barbosa; Maria Beatriz Duarte Gavião
Journal:  J Appl Oral Sci       Date:  2009 Sep-Oct       Impact factor: 2.698

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