Swipe om te navigeren naar een ander artikel
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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.
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.
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.
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.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Griffiths, L., Parsons, T., & Hill, A. (2010). Self-esteem and quality of life in obese children and adolescents: A systematic review. International Journal of Paediatric Obesity, 5(4), 282–304. CrossRef
Tsiros, M., Olds, T., Buckley, J., Grimshaw, P., Brennan, L., Walkley, J., et al. (2009). Health-related quality of life in obese children and adolescents. International Journal of Obesity, 33, 387–400. CrossRef
National-Institute-for-Clinical-Excellence. (April 2013). Guide to the methods of technology appraisal.
Ravens-Sieberer, U., Redegeld, M., & Bullinger, M. (2001). Quality of life after in-patient rehabilitation in children with obesity. [Research Support. Non-U.S. Gov’t]. International Journal of Obesity & Related Metabolic Disorders: Journal of the International Association for the Study of Obesity, 25(Suppl 1), S63–S65. CrossRef
Zeller, M., & Modi, A. (2009). Development and initial validation of an obesity-specific quality-of-life measure for children: sizing me up. Obesity, 17(6), 1171–1177. PubMed
Brazier, J., Ratcliffe, J., Salomon, J., & Tsuchiya, A. (2007). Measuring and valuing health benefits for economic evaluation. Oxford: Oxford University Press.
Oluboyede, O. (2013). Quality of life assessment in adolescent obesity: Development of a new instrument for economic evaluation. Leeds: University of Leeds.
More-Life. http://www.more-life.co.uk/. Retrieved September 2017.
Watch-It-Programmes. https://www.leedscommunityhealthcare.nhs.uk/our-services-a-z/watch-it-family-weight-management-service/watch-it-programmes/. Retrieved September 2017.
Linacre, J. (2014). A user’s guide to Winsteps.
Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Chicago: University of Chicago Press. Reprinted 1980.
Raîche, G. (2005). Critical eigenvalue sizes (variances) in standardized residual principal components analysis. Rasch Measurement Transactions, 19:1, 1012.
Lord, F. (1980). Applications of item response theory to practical testing problems. Hillsdale: Lawrence Erlbaum Associates.
Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Power, M., et al. (2008). The KIDSCREEN-52 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 european countries. Value in Health, 11(4), 645–658. https://doi.org/10.1111/j.1524-4733.2007.00291.x. CrossRefPubMed
Amin, L., Rosenbaum, P., Barr, R., Sung, L., Klaassen, R. J., Dix, D. B., et al. (2012). Rasch analysis of the PedsQL: An increased understanding of the properties of a rating scale. Journal of Clinical Epidemiology, 65(10), 1117–1123. https://doi.org/10.1016/j.jclinepi.2012.04.014. CrossRefPubMed
- The weight-specific adolescent instrument for economic evaluation (WAItE): psychometric evaluation using a Rasch model approach
Adam B. Smith
- Springer International Publishing