Literature DB >> 30519905

The weight-specific adolescent instrument for economic evaluation (WAItE): psychometric evaluation using a Rasch model approach.

Yemi Oluboyede1, Adam B Smith2, Andrew Hill3, Claire Hulme3.   

Abstract

PURPOSE: The Weight-specific Adolescent Instrument for Economic evaluation (WAItE) is a 7-item condition-specific tool assessing the impact of weight status on seven dimensions of quality of life. The content of the WAItE was developed with both treatment-seeking and non-treatment-seeking adolescents aged 11-18 years. The aim of this study was to assess the psychometric properties of the WAItE in adolescent and adult populations.
METHODS: Treatment-seeking adolescents with obesity (females n = 155; males n = 123; mean age = 13.3; 13.1 years, respectively) completed the WAItE twice. An adult general population sample completed the WAItE via an online survey (females n = 236; males n = 231; mean age = 41.2; 44.3 years, respectively). The Partial Credit Model was applied to the data and item fit evaluated against published criteria.
RESULTS: The WAItE had a unidimensional structure both for adolescents and adults. There was no item misfit observed for either participant samples and no differential item functioning (DIF) was present by age or gender for the adolescents. Some DIF was observed across age groups for the adult sample. For the adolescent sample, stable item locations were observed over time.
CONCLUSIONS: The aim of the WAItE is to assess the impact of weight status on the lives of adolescents in cost-effectiveness evaluation of weight management programmes. The results of this study demonstrated that the WAItE has reliable psychometric properties. The instrument may therefore be used to aid informed decision around the identification of cost-effective weight management programmes in both adolescent and adult populations.

Entities:  

Keywords:  Adolescents; Adults; Condition-specific measure; Economic evaluation; Obesity; Quality of life; Rasch analysis

Mesh:

Year:  2018        PMID: 30519905     DOI: 10.1007/s11136-018-2074-2

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


  16 in total

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Authors:  Jin-Shei Lai; Jeanne Teresi; Richard Gershon
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2.  Children's residential weight-loss programs can work: a prospective cohort study of short-term outcomes for overweight and obese children.

Authors:  Paul J Gately; Carlton B Cooke; Julian H Barth; Bridgette M Bewick; Duncan Radley; Andrew J Hill
Journal:  Pediatrics       Date:  2005-07       Impact factor: 7.124

3.  Assessing weight-related quality of life in adolescents.

Authors:  Ronette L Kolotkin; Meg Zeller; Avani C Modi; Gregory P Samsa; Nicole Polanichka Quinlan; Jack A Yanovski; Stephen K Bell; David M Maahs; Daniela Gonzales de Serna; Helmut R Roehrig
Journal:  Obesity (Silver Spring)       Date:  2006-03       Impact factor: 5.002

4.  Quality of life after in-patient rehabilitation in children with obesity.

Authors:  U Ravens-Sieberer; M Redegeld; M Bullinger
Journal:  Int J Obes Relat Metab Disord       Date:  2001-05

5.  Development and initial validation of an obesity-specific quality-of-life measure for children: sizing me up.

Authors:  Meg H Zeller; Avani C Modi
Journal:  Obesity (Silver Spring)       Date:  2009-03-05       Impact factor: 5.002

6.  The KIDSCREEN-52 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries.

Authors:  Ulrike Ravens-Sieberer; Angela Gosch; Luis Rajmil; Michael Erhart; Jeanet Bruil; Mick Power; Wolfgang Duer; Pascal Auquier; Bernhard Cloetta; Ladislav Czemy; Joanna Mazur; Agnes Czimbalmos; Yannis Tountas; Curt Hagquist; Jean Kilroe
Journal:  Value Health       Date:  2007-12-17       Impact factor: 5.725

7.  The validation of the Moorehead-Ardelt Quality of Life Questionnaire II.

Authors:  Melodie K Moorehead; Elisabeth Ardelt-Gattinger; Hans Lechner; Horacio E Oria
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Review 8.  Health-related quality of life in obese children and adolescents.

Authors:  M D Tsiros; T Olds; J D Buckley; P Grimshaw; L Brennan; J Walkley; A P Hills; P R C Howe; A M Coates
Journal:  Int J Obes (Lond)       Date:  2009-03-03       Impact factor: 5.095

9.  Classical Test Theory versus Rasch analysis for quality of life questionnaire reduction.

Authors:  Luis Prieto; Jordi Alonso; Rosa Lamarca
Journal:  Health Qual Life Outcomes       Date:  2003-07-28       Impact factor: 3.186

10.  Rasch fit statistics and sample size considerations for polytomous data.

Authors:  Adam B Smith; Robert Rush; Lesley J Fallowfield; Galina Velikova; Michael Sharpe
Journal:  BMC Med Res Methodol       Date:  2008-05-29       Impact factor: 4.615

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  1 in total

1.  Developing a preference-based measure for weight-specific health-related quality of life in adolescence: the WAItE UK valuation study protocol.

Authors:  Tomos Robinson; Sarah Hill; Yemi Oluboyede
Journal:  BMJ Open       Date:  2021-11-16       Impact factor: 2.692

  1 in total

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