Multiple Sclerosis and Depression: Translation and Adaptation of the Spanish Version of the Chicago Multiscale Depression Inventory and the Study of Factors Associated with Depressive Symptoms

  1. Sanchis-Segura, Carla 1
  2. Cruz-Gómez, Álvaro Javier 2
  3. Esbrí, Sónia Félix 1
  4. Tirado, Alba Sebastián 1
  5. Arnett, Peter A 3
  6. Forn, Cristina 1
  1. 1 Departament de Psicología Bàsica, Clínica i Psicobiología, Universitat Jaume I , Castelló de la Plana, Spain
  2. 2 Grupo de Neuroimagen y Psicofisiología, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA) , Castelló, Spain
  3. 3 Department of Psychology, The Pennsylvania State University , University Park, PA, USA
Revista:
Archives of Clinical Neuropsychology

ISSN: 1873-5843

Año de publicación: 2022

Páginas: 1-15

Tipo: Artículo

DOI: 10.1093/ARCLIN/ACAC096 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Archives of Clinical Neuropsychology

Resumen

Objective: Depressive disorder occurs in up to 50% of persons with Multiple Sclerosis (PwMS). Accurate assessment of depression in MS is essential in clinical settings because depressive symptomatology can affect the clinical course of the disease.Methods: We translated, adapted, and tested the Spanish version of the Chicago Multiscale Depression Inventory (CMDI), a specific test to assess depression in neurological disorders. We compare our results with those obtained with previous versions of the questionnaire (English and Italian). Finally, we also analyze the relationship between the results obtained on the CMDI and demographic, clinical, and cognitive variables.Results: The results obtained with the Spanish version of the CMDI were similar to those observed in previous published versions. We also observed higher depression scores in PwMS (especially in progressive forms) compared with healthy controls.Moreover, depression symptomatology was related to higher disability and fatigue and worse cognitive performance in PwMS.Conclusions: The results support the validity of the CDMI in the Spanish population, as well as the association between depression and other characteristic symptoms of MS. These findings also emphasize the importance of good assessment andmultidisciplinary treatment of depression in PwMS.

Información de financiación

Financiadores

  • UJI
    • PREDOC//22
  • MCI/AEI
    • UJI B-02

Referencias bibliográficas

  • Arnett, (2008), Journal of the International Neuropsychological Society, 14, pp. 691, 10.1017/S1355617708081174
  • Arnett, (2021), Journal of the International Neuropsychological Society, 28, pp. 362, 10.1017/S1355617721000540
  • Arnett, (2001), Journal of the International Neuropsychological Society, 7, pp. 665, 10.1017/S1355617701766027
  • Arnett, (1999), Neuropsychology, 13, pp. 546, 10.1037/0894-4105.13.4.546
  • Arnett, (1999), Neuropsychology, 13, pp. 434, 10.1037/0894-4105.13.3.434
  • Benjamini, (1995), Journal of the Royal Statistical Society: Series B: Methodological, 57, pp. 289
  • Brenner, (2016), Acta Neurologica Scandinavica, 134, pp. 47, 10.1111/ane.12648
  • Brown, (2009), Psychology and Psychotherapy: Theory, Research and Practice, 82, pp. 41, 10.1348/147608308X345614
  • Bruce, (2010), Journal of Behavioral Medicine, 33, pp. 219, 10.1007/s10865-010-9247-y
  • Carlson, (1993), Multivariate Behavioral Research, 28, pp. 111, 10.1207/s15327906mbr2801_7
  • Chang, (2003), Multiple Sclerosis Journal, 9, pp. 160, 10.1191/1352458503ms885oa
  • Cohen, (1969), Statistical power analysis for the behavioral sciences
  • Dekker, (2019), Multiple Sclerosis and Related Disorders, 33, pp. 82, 10.1016/j.msard.2019.05.017
  • Diamond, (2008), Archives of Clinical Neuropsychology, 23, pp. 189, 10.1016/j.acn.2007.10.002
  • Flora, (2020), Advances in Methods and Practices in Psychological Science, 3, pp. 484, 10.1177/2515245920951747
  • Hind, (2016), BMC Psychiatry, 16, pp. 278, 10.1186/s12888-016-0931-5
  • Hittner, (2003), The Journal of General Psychology, 130, pp. 149, 10.1080/00221300309601282
  • Hoffmeister, (2021), Journal of Clinical and Experimental Neuropsychology, 43, pp. 117, 10.1080/13803395.2020.1853066
  • Hooper, (2008), Electronic Journal of Business Research Methods, 6, pp. 53
  • Hu, (1999), Structural Equation Modeling: A Multidisciplinary Journal, 6, pp. 1, 10.1080/10705519909540118
  • Jones, (2021), Multiple Sclerosis and Related Disorders, 51, pp. 102904, 10.1016/j.msard.2021.102904
  • Krupp, (1989), Archives of Neurology, 46, pp. 1121, 10.1001/archneur.1989.00520460115022
  • Krupp, (2010), Expert Review of Neurotherapeutics, 10, pp. 1437, 10.1586/ern.10.99
  • Kursa, (2010), Fundamenta Informaticae, 101, pp. 271, 10.3233/FI-2010-288
  • Kursa, (2010), Journal of Statistical Software, 36, pp. 1, 10.18637/jss.v036.i11
  • Lorefice, (2015), Neurological Sciences, 36, pp. 1625, 10.1007/s10072-015-2220-3
  • Mair, (2020), Behavior Research Methods, 52, pp. 464, 10.3758/s13428-019-01246-w
  • Nyenhuis, (1998), Journal of Personality Assessment, 70, pp. 386, 10.1207/s15327752jpa7002_14
  • Nyenhuis, (1995), Journal of the International Neuropsychological Society, 1, pp. 291, 10.1017/S135561770000028X
  • Patten, (2017), International Review of Psychiatry, 29, pp. 463, 10.1080/09540261.2017.1322555
  • Pittion-Vouyovitch, (2006), Journal of the Neurological Sciences, 243, pp. 39, 10.1016/j.jns.2005.11.025
  • Planche, (2016), European Journal of Neurology, 23, pp. 282, 10.1111/ene.12715
  • R Core Team, (2020), R: A language and environment for statistical computing
  • Sepulcre, (2006), Multiple Sclerosis Journal, 12, pp. 187, 10.1191/1352458506ms1258oa
  • Siegert, (2005), Journal of Neurology, Neurosurgery & Psychiatry, 76, pp. 469, 10.1136/jnnp.2004.054635
  • Solari, (2003), Neurological Sciences, 24, pp. 375
  • Solaro, (2018), CNS Drugs, 32, pp. 117, 10.1007/s40263-018-0489-5
  • Solaro, (2016), PLoS One, 11, pp. e0160261, 10.1371/journal.pone.0160261
  • Spence, (2016), PLoS One, 11, pp. e0162874, 10.1371/journal.pone.0162874
  • Takeda, (2021), Journal of Affective Disorders Reports, 5, pp. 100143, 10.1016/j.jadr.2021.100143
  • Widaman, (1997), The science of prevention: Methodological advances from alcohol and substance abuse research, pp. 281, 10.1037/10222-009