Health Prob Civil.
1. MS International Federation. [The Multiple Sclerosis International Federation Atlas of MS, 3rd ed] [Internet]. London: International Federation; 2020 [access 2024 Jan 2]. Available from: https://www.atlasofms.org
2.
National Health Information Centre. [Health Yearbook of the Slovak Republic 2021]. Bratislava: National Health Information Centre; 2022. p. 256 (in Slovak).
3.
Majerníková L, Hudáková A, Obročníková A. [Psychometric validation of the questionnaire MSQOL-54 in Slovakia – a pilot study]. Cesk Slov Neurol N. 2023; 119 (4): 262-270 (in Slovak). https://doi.org/10.48095/cccsnn2023262
4.
Sanaeinasab H, Saffari M, Hashempour M, Karimi Zarchi AA, Alghamdi WA, Koenig HG. Effect of a transactional model education program on coping effectiveness in women with multiple sclerosis. Brain Behav. 2017; 7(10): e00810. https://doi.org/10.1002/brb3.810
5.
Majernikova Ľ. [Assessment of the quality of life of patients with sclerosis multiplex by a new validated method in the Slovak population]. Prešov: PU, Faculty of Health Sciences; 2022. p. 244 (in Slovak).
6.
Klimová E, Mikuľáková WB. [The effect of individually tailored physical activity on quality of life, fatigue and disability in patients with sclerosis multiplex]. Prešov: Faculty of Health Sciences; 2021. p. 112 (in Slovak).
7.
Vickrey BG, Hays RD, Harooni R, Myers LW, Ellison GW. A health-related quality of life measure for multiple sclerosis. Qual Life Res. 1995; 4(3): 187-206. https://doi.org/10.1007/BF02260859
8.
Gil-González I, Martín-Rodríguez A, Conrad R, Pérez-San-Gregorio MÁ. Quality of life in adults with multiple sclerosis: a systematic review. BMJ Open. 2020; 10(11): e041249. https://doi.org/10.1136/bmjopen-2020-041249
9.
Cella DF, Dineen K, Arnason B, Reder A, Webster KA, Karabatsos G, et al. Validation of the functional assessment of multiple sclerosis quality of life instrument. Neurology. 1996; 47(1): 129-139. https://doi.org/10.1212/WNL.47.1.129
10.
The Consortium of Multiple Sclerosis Centers Health Services Research Subcommittee. Multiple Sclerosis Quality of Life Inventory: A User’s Manual. New York: National Multiple Sclerosis Society; 1997.
11.
Gold SM, Heesen C, Schulz H, Guder U, Mönch A, Gbadamosi J, et al. Disease specific quality of life instruments in multiple sclerosis: validation of the Hamburg Quality of Life Questionnaire in Multiple Sclerosis (HAQUAMS). Mult Scler. 2001; 7(2): 119-30. https://doi.org/10.1177/135245850100700208
12.
Simeoni M, Auquier P, Fernandez O, Flachenecker P, Stecchi S, Constantinescu C, et al. MusiQol study group. Validation of the Multiple Sclerosis International Quality of Life questionnaire. Mult Scler. 2008; 14(2): 219-30. https://doi.org/10.1177/1352458507080733
13.
Drulovic J, Bursac LO, Milojkovic D, Tepavcevic DK, Gazibara T, Pekmezovic T. MSQoL-54 predicts change in fatigue after inpatient rehabilitation for people with multiple sclerosis. Disabil Rehabil. 2013; 35(5): 362-366. https://doi.org/10.3109/09638288.2012.704122
14.
Hadgkiss EJ, Jelinek GA, Weiland TJ, Rumbold G, Mackinlay CA, Gutbrod S, et al. Health-related quality of life outcomes at 1 and 5 years after a residential retreat promoting lifestyle modification for people with multiple sclerosis. Neurol Sci. 2013; 34(2): 187-195. https://doi.org/10.1007/s10072-012-0982-4
15.
Solari A, Filippini G, Mendozzi L, Ghezzi A, Cifani S, Barbieri E, et al. Validation of Italian multiple sclerosis quality of life 54 questionnaire. J Neurol Neurosurg Psychiatry. 1999; 67(2): 158-162. https://doi.org/10.1136/jnnp.67.2.158
16.
Idiman E, Uzunel F, Ozakbas S, Yozbatiran N, Oguz M, Callioglu B, et al. Cross-cultural adaptation and validation of multiple sclerosis quality of life questionnaire (MSQOL-54) in a Turkish multiple sclerosis sample. J Neurol Sci. 2006; 240(1-2): 77-80. https://doi.org/10.1016/j.jns.2005.09.009
17.
Acquadro C, Conway K, Hareendran A, Aaronson N, European Regulatory Issues and Quality of Life Assessment (ERIQA) Group. Literature review of methods to translate health-related quality of life questionnaires for use in multinational clinical trials. Value Health. 2008; 11(3): 509-521. https://doi.org/10.1111/j.1524-4733.2007.00292.x
18.
Stern B, Hojs Fabjan T, Rener-Sitar K, Zaletel-Kragelj L. Validation of the Slovenian version of Multiple Sclerosis Quality of Life (MSQOL-54) instrument. Zdr Varst. 2017; 56(4): 260-267. https://doi.org/10.1515/sjph-2017-0035
19.
Estiasari R, Fajrina Y, Lastri DN, Melani S, Maharani K, Imran D, et al. Validity and reliability of brief international cognitive assessment for Multiple Sclerosis (BICAMS) in Indonesia and the correlation with quality of life. Neurol Res Int. 2019; 2019: 4290352. https://doi.org/10.1155/2019/4290352
20.
Catic T, Culig J, Suljic E, Masic A, Gojak R. Validation of the disease-specific questionnaire MSQoL-54 in Bosnia and Herzegovina multiple sclerosis patients sample. Med Arch. 2017; 71(2): 103-106. https://doi.org/10.5455/medarh.2017.71.103-106
21.
Baker G, Nair KPS, Baster K, Rosato R, Solari A. Reliability and acceptability of the Multiple Sclerosis Quality of Life-29 questionnaire in an English-speaking cohort. Mult Scler. 2019; 25(11): 1539-1542. https://doi.org/10.1177/1352458518776583
22.
Rosato R, Testa S, Bertolotto A, Scavelli F, Giovannetti AM, Confalonieri P, et al. eMSQOL-29: prospective validation of the abbreviated, electronic version of MSQOL-54. Mult Scler. 2019; 25(6): 856-866. https://doi.org/10.1177/1352458518774935
23.
Terrence DJ. Useful tools for structural equation modeling [Internet]. Vienna: Institute for Statistics and Mathematics [access 2024 Jan 5]. Available from: https://cran.r-project.org/web/packages/semTools/semTools.pdf
24.
Li CH. Confirmatory factor analysis with ordinal data: comparing robust maximum likelihood and diagonally weighted least squares. Behav Res Methods. 2016; 48(3): 936-949. https://doi.org/10.3758/s13428-015-0619-7
25.
Rosseel Y. lavaan: an R package for structural equation modeling. J Stat Software. 2011; 48(2): 1-36. https://doi.org/10.18637/jss.v048.i02
26.
Michalko D. Factor structure of Slovak adaptation of Attentional Control Scale. Studia Psychologica. 2018; 60(1): 57-70. https://doi.org/10.21909/sp.2018.01.752
27.
Sollár T. [Empirical verification of structural models of psychodiagnostic instruments]. Bratislava: SAP; 2014 (in Slovak).
28.
Gurková E, Šaňák D, Šáteková L, Šaňáková Š, Zapletalová J. [Validation of the Stroke Impact Questionnaire – Czech version of the Stroke Impact Scale 3.0]. Cesk Slov Neurol N. 2022; 85(4): 287-295 (in Czech). https://doi.org/10.48095/cccsnn2022287
Copyright: © 2024 Pope John Paul II State School of Higher Education in Biała Podlaska. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
