Andrea Giordano1,2, Silvia Testa2,3, Marta Bassi4, Sabina Cilia5, Antonio Bertolotto6, Maria Esmeralda Quartuccio7, Erika Pietrolongo8, Monica Falautano9, Monica Grobberio10, Claudia Niccolai11,12, Beatrice Allegri13, Rosa Gemma Viterbo14, Paolo Confalonieri15, Ambra Mara Giovannetti1,15, Eleonora Cocco16,17, Maria Grazia Grasso18, Alessandra Lugaresi19,20, Elisa Ferriani21, Ugo Nocentini22,23, Mauro Zaffaroni24, Alysha De Livera25, George Jelinek25, Alessandra Solari26, Rosalba Rosato2. 1. Unit of Neuroepidemiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy. 2. Department of Psychology, University of Turin, Turin, Italy. 3. Department of Human and Social Sciences, University of Aosta Valley , Aosta, Italy. 4. Department of Biomedical and Clinical Sciences L. Sacco, Università di Milano, Milan, Italy. 5. Multiple Sclerosis Center, University Polyclinic Hospital G. Rodolico, Catania, Italy. 6. Neurology & Regional Referral Multiple Sclerosis Centre (CReSM), University Hospital San Luigi Gonzaga, Orbassano, Italy. 7. Department of Neuroscience, San Camillo-Forlanini Hospital, Rome, Italy. 8. Department of Neurosciences, Imaging and Clinical Sciences, University G. D'Annunzio, Chieti, Italy. 9. Servizio di Psicologia e Neuropsicologia, UO di Neurologia e Riabilitazione Specialistica, San Raffaele Hospital, Milan, Italy. 10. Laboratory of Clinical Neuropsychology, Psychology Unit, ASST Lariana, Como, Italy. 11. IRCCS Fondazione Carlo Gnocchi, Florence, Italy. 12. Department of NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy. 13. Multiple Sclerosis Center, Neurology Unit, Hospital of Vaio, Fidenza, Italy. 14. Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy. 15. Unit of Neuroimmunology and Neuromuscular Diseases, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. 16. Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy. 17. Multiple Sclerosis Center, ASSL Cagliari, ATS Sardegna, Cagliari, Italy. 18. Multiple Sclerosis Unit, IRCCS S. Lucia Foundation, Rome, Italy. 19. UOSI Riabilitazione Sclerosi Multipla, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy. 20. Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy. 21. UOC Psicologia Ospedaliera, AUSL di Bologna, Bologna, Italy. 22. Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy. 23. Neurology and Neurorehabilitation Unit, IRCCS S. Lucia Foundation, Rome, Italy. 24. Multiple Sclerosis Centre, ASST Valle Olona, Gallarate, Italy. 25. Neuroepidemiology Unit, Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia. 26. Unit of Neuroepidemiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy. alessandra.solari@istituto-besta.it.
Abstract
PURPOSE: The Multiple Sclerosis Quality of Life-54 (MSQOL-54) is a specific multiple sclerosis (MS) health-related quality of life inventory consisting of 52 items organized into 12 subscales plus two single items. No study was found in literature assessing its measurement invariance across language versions. We investigated whether MSQOL-54 items provide unbiased measurements of underlying constructs across Italian and English versions. METHODS: Three constrained levels of measurement invariance were evaluated: configural invariance where equivalent numbers of factors/factor patterns were required; metric invariance where equivalent factor loadings were required; and scalar invariance where equivalent item intercepts between groups were required. Comparative fit index (CFI), root mean square error of approximation (RMSEA), and standardized root mean square residual (SRMR) fit indices and their changes between nested models were used to assess tenability of invariance constraints. RESULTS: Overall, the dataset included 3669 MS patients: 1605 (44%) Italian, mean age 41 years, 62% women, 69% with mild level of disability; 2064 (56%) English-speaking (840 [41%] from North America, 797 [39%] from Australasia, 427 [20%] from UK and Ireland), mean age 46 years, 83% women, 54% with mild level of disability. The configural invariance model showed acceptable fit (RMSEA = 0.052, CFI = 0.904, SRMR = 0.046); imposing loadings and intercepts equality constraints produced negligible worsening of fit (ΔRMSEA < 0.001, ΔCFI = - 0.002, ΔSRMR = 0.002 for metric invariance; ΔRMSEA = 0.003, ΔCFI = - 0.013, ΔSRMR = 0.003 for scalar invariance). CONCLUSIONS: These findings support measurement invariance of the MSQOL-54 across the two language versions, suggesting that the questionnaire has the same meaning and the same measurement paramaters in the Italian and English versions.
PURPOSE: The Multiple Sclerosis Quality of Life-54 (MSQOL-54) is a specific multiple sclerosis (MS) health-related quality of life inventory consisting of 52 items organized into 12 subscales plus two single items. No study was found in literature assessing its measurement invariance across language versions. We investigated whether MSQOL-54 items provide unbiased measurements of underlying constructs across Italian and English versions. METHODS: Three constrained levels of measurement invariance were evaluated: configural invariance where equivalent numbers of factors/factor patterns were required; metric invariance where equivalent factor loadings were required; and scalar invariance where equivalent item intercepts between groups were required. Comparative fit index (CFI), root mean square error of approximation (RMSEA), and standardized root mean square residual (SRMR) fit indices and their changes between nested models were used to assess tenability of invariance constraints. RESULTS: Overall, the dataset included 3669 MSpatients: 1605 (44%) Italian, mean age 41 years, 62% women, 69% with mild level of disability; 2064 (56%) English-speaking (840 [41%] from North America, 797 [39%] from Australasia, 427 [20%] from UK and Ireland), mean age 46 years, 83% women, 54% with mild level of disability. The configural invariance model showed acceptable fit (RMSEA = 0.052, CFI = 0.904, SRMR = 0.046); imposing loadings and intercepts equality constraints produced negligible worsening of fit (ΔRMSEA < 0.001, ΔCFI = - 0.002, ΔSRMR = 0.002 for metric invariance; ΔRMSEA = 0.003, ΔCFI = - 0.013, ΔSRMR = 0.003 for scalar invariance). CONCLUSIONS: These findings support measurement invariance of the MSQOL-54 across the two language versions, suggesting that the questionnaire has the same meaning and the same measurement paramaters in the Italian and English versions.
Authors: D F Cella; K Dineen; B Arnason; A Reder; K A Webster; G karabatsos; C Chang; S Lloyd; J Steward; D Stefoski Journal: Neurology Date: 1996-07 Impact factor: 9.910
Authors: A Solari; G Filippini; L Mendozzi; A Ghezzi; S Cifani; E Barbieri; S Baldini; A Salmaggi; L L Mantia; M Farinotti; D Caputo; P Mosconi Journal: J Neurol Neurosurg Psychiatry Date: 1999-08 Impact factor: 10.154
Authors: David Santos; Francisco J Abad; Marta Miret; Somnath Chatterji; Beatriz Olaya; Katarzyna Zawisza; Seppo Koskinen; Matilde Leonardi; Josep Maria Haro; José Luis Ayuso-Mateos; Francisco Félix Caballero Journal: Qual Life Res Date: 2017-11-16 Impact factor: 4.147
Authors: Emily J Hadgkiss; George A Jelinek; Tracey J Weiland; Naresh G Pereira; Claudia H Marck; Dania M van der Meer Journal: Neurol Res Int Date: 2013-04-11