Skip to main content
Log in

The influence of depression and anxiety on cognition in people with multiple sclerosis: a cross-sectional analysis

  • Original Communication
  • Published:
Journal of Neurology Aims and scope Submit manuscript

Abstract

There are conflicting findings about the relationships between depression, anxiety, and cognitive dysfunction in people with multiple sclerosis (MS), and a paucity of research has examined the cumulative influence on cognition of depression plus anxiety. This study aimed to determine whether elevated symptoms of depression and anxiety alone or in combination are associated with worse cognition in people with MS. In this cross-sectional analysis, people with MS consecutively seen at a tertiary neuropsychiatry clinic completed the Hospital Anxiety and Depression Scale for symptoms of depression (HADS-D) and anxiety (HADS-A), and the Minimal Assessment of Cognitive Function in MS for cognitive indices. Accounting for covariates, regression models predicted cognitive indices from scores for HADS-D, HADS-A, and the interaction. Of 831 people with MS, 72% were female, mean age was 43.2 years, and median Expanded Disability Status Scale score was 2.0. Depressive symptoms were independently predictive of lower verbal fluency (Controlled Oral Word Association Test, p < 0.01), verbal learning (California Verbal Learning Test-II (CVLT-II) total learning, p = 0.02), verbal delayed recall (CVLT-II delayed recall, p < 0.01), and processing speed (Symbol Digit Modalities Test, p < 0.01; three-second Paced Auditory Serial Addition Test (PASAT), p = 0.05; two-second PASAT, p = 0.01). Anxiety in people with depression predicted decreased visuospatial function (Judgment of Line Orientation, p = 0.05), verbal learning (p < 0.01), verbal delayed recall (p < 0.01), visuospatial recall (Brief Visuospatial Memory Test-Revised, p = 0.02), and executive function (Delis-Kaplan Executive Function System, p < 0.01). Anxiety alone was not independently predictive of cognition. In conclusion, depression, especially with comorbid anxiety, is associated with cognitive dysfunction in people with MS.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Data availability

Dataset is available from the corresponding author upon reasonable request.

References

  1. Walton C, King R, Rechtman L et al (2020) Rising prevalence of multiple sclerosis worldwide: insights from the Atlas of MS, third edition. Multiple Sclerosis J 26(14):1816–1821. https://doi.org/10.1177/1352458520970841

    Article  Google Scholar 

  2. Silveira C, Guedes R, Maia D, Curral R, Coelho R (2019) Neuropsychiatric symptoms of multiple sclerosis: State of the art. Psychiatry Investig 16(12):877–888. https://doi.org/10.30773/pi.2019.0106

    Article  PubMed  PubMed Central  Google Scholar 

  3. Benedict RHB, Amato MP, DeLuca J, Geurts JJG (2020) Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues. Lancet Neurol 19(10):860–871. https://doi.org/10.1016/S1474-4422(20)30277-5

    Article  PubMed  PubMed Central  Google Scholar 

  4. Macías Islas MÁ, Ciampi E (2019) Assessment and impact of cognitive impairment in multiple sclerosis: an overview. Biomedicines 7(1):22. https://doi.org/10.3390/biomedicines7010022

    Article  PubMed  PubMed Central  Google Scholar 

  5. Boeschoten RE, Braamse AMJ, Beekman ATF et al (2017) Prevalence of depression and anxiety in multiple sclerosis: a systematic review and meta-analysis. J Neurol Sci 372:331–341. https://doi.org/10.1016/j.jns.2016.11.067

    Article  PubMed  Google Scholar 

  6. Chan CK, Tian F, Pimentel Maldonado D, Mowry EM, Fitzgerald KC (2021) Depression in multiple sclerosis across the adult lifespan. Mult Scler 27(11):1771–1780. https://doi.org/10.1177/1352458520979304

    Article  CAS  PubMed  Google Scholar 

  7. Leavitt VM, Brandstadter R, Fabian M et al (2020) Dissociable cognitive patterns related to depression and anxiety in multiple sclerosis. Mult Scler 26(10):1247–1255. https://doi.org/10.1177/1352458519860319

    Article  CAS  PubMed  Google Scholar 

  8. Sandroff BM, Pilutti LA, Motl RW (2019) Cardiorespiratory fitness and cognitive processing speed in multiple sclerosis: the possible roles of psychological symptoms. Mult Scler Relat Disord 27:23–29. https://doi.org/10.1016/j.msard.2018.09.033

    Article  PubMed  Google Scholar 

  9. Morrow SA, Rosehart H, Pantazopoulos K (2016) Anxiety and depressive symptoms are associated with worse performance on objective cognitive tests in MS. J Neuropsychiatry Clin Neurosci 28(2):118–123. https://doi.org/10.1176/appi.neuropsych.15070167

    Article  PubMed  Google Scholar 

  10. Gill S, Santo J, Blair M, Morrow SA (2019) Depressive symptoms are associated with more negative functional outcomes than anxiety symptoms in persons with multiple sclerosis. J Neuropsychiatry Clin Neurosci 31(1):37–42. https://doi.org/10.1176/appi.neuropsych.18010011

    Article  PubMed  Google Scholar 

  11. Golan D, Doniger GM, Wissemann K et al (2018) The impact of subjective cognitive fatigue and depression on cognitive function in patients with multiple sclerosis. Mult Scler 24(2):196–204. https://doi.org/10.1177/1352458517695470

    Article  PubMed  Google Scholar 

  12. Marrie RA, Patel R, Bernstein CN et al (2021) Anxiety and depression affect performance on the symbol digit modalities test over time in MS and other immune disorders. Mult Scler J 27(8):1284–1292. https://doi.org/10.1177/1352458520961534

    Article  Google Scholar 

  13. Glukhovsky L, Kurz D, Brandstadter R et al (2021) Depression and cognitive function in early multiple sclerosis: multitasking is more sensitive than traditional assessments. Mult Scler 27(8):1276–1283. https://doi.org/10.1177/1352458520958359

    Article  CAS  PubMed  Google Scholar 

  14. Anderson JR, Fitzgerald KC, Murrough JW et al (2023) Depression symptoms and cognition in multiple sclerosis: longitudinal evidence of a specific link to executive control. Mult Scler J 29(13):1632–1645. https://doi.org/10.1177/13524585231198746

    Article  Google Scholar 

  15. Ribbons K, Lea R, Schofield PW, Lechner-Scott J (2017) Anxiety levels are independently associated with cognitive performance in an Australian multiple sclerosis patient cohort. J Neuropsychiatry Clin Neurosci 29(2):128–134. https://doi.org/10.1176/appi.neuropsych.16050085

    Article  PubMed  Google Scholar 

  16. Yigit P, Acikgoz A, Mehdiyev Z, Dayi A, Ozakbas S (2021) The relationship between cognition, depression, fatigue, and disability in patients with multiple sclerosis. Ir J Med Sci 190(3):1129–1136. https://doi.org/10.1007/s11845-020-02377-2

    Article  PubMed  Google Scholar 

  17. Van Heugten C, Köhler S, Francke M, Bol Y (2019) The association between executive functioning, coping styles and depressive symptoms in patients with multiple sclerosis. Mult Scler Relat Disord 36:101392. https://doi.org/10.1016/j.msard.2019.101392

    Article  PubMed  Google Scholar 

  18. Marrie RA, Patel R, Figley CR et al (2019) Diabetes and anxiety adversely affect cognition in multiple sclerosis. Mult Scler Relat Disord 27:164–170. https://doi.org/10.1016/j.msard.2018.10.018

    Article  PubMed  Google Scholar 

  19. Alosaimi FD, AlMulhem A, Moscovici M et al (2017) The relationship between psychosocial factors and cognition in multiple sclerosis. Behav Neurol 2017:6847070. https://doi.org/10.1155/2017/6847070

    Article  PubMed  PubMed Central  Google Scholar 

  20. Möller A, Wiedemann G, Rohde U, Backmund H, Sonntag A (1994) Correlates of cognitive impairment and depressive mood disorder in multiple sclerosis. Acta Psychiatr Scand 89(2):117–121. https://doi.org/10.1111/j.1600-0447.1994.tb01497.x

    Article  PubMed  Google Scholar 

  21. Vissicchio NA, Altaras C, Parker A et al (2019) Relationship between anxiety and cognition in multiple sclerosis: implications for treatment. Int J MS Care 21(4):151–156. https://doi.org/10.7224/1537-2073.2018-027

    Article  PubMed  PubMed Central  Google Scholar 

  22. Wallis O, Bol Y, Köhler S, van Heugten C (2020) Anxiety in multiple sclerosis is related to depressive symptoms and cognitive complaints. Acta Neurol Scand 141(3):212–218. https://doi.org/10.1111/ane.13191

    Article  PubMed  Google Scholar 

  23. Honarmand K, Feinstein A (2009) Validation of the Hospital Anxiety and Depression Scale for use with multiple sclerosis patients. Mult Scler 15(12):1518–1524. https://doi.org/10.1177/1352458509347150

    Article  PubMed  Google Scholar 

  24. Feinstein A, O’Connor P, Gray T, Feinstein K (1999) The effects of anxiety on psychiatric morbidity in patients with multiple sclerosis. Mult Scler 5(5):323–326. https://doi.org/10.1177/135245859900500504

    Article  CAS  PubMed  Google Scholar 

  25. Whitehouse CE, Fisk JD, Bernstein CN et al (2019) Comorbid anxiety, depression, and cognition in MS and other immune-mediated disorders [published online ahead of print, 2019 Jan 11]. Neurology 92(5):e406–e417. https://doi.org/10.1212/WNL.0000000000006854

    Article  PubMed  PubMed Central  Google Scholar 

  26. Kalron A, Aloni R, Allali G (2018) The relationship between depression, anxiety and cognition and its paradoxical impact on falls in multiple sclerosis patients. Mult Scler Relat Disord 25:167–172. https://doi.org/10.1016/j.msard.2018.07.029

    Article  PubMed  Google Scholar 

  27. Polman CH, Reingold SC, Edan G et al (2005) Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria.” Ann Neurol 58(6):840–846. https://doi.org/10.1002/ana.20703

    Article  PubMed  Google Scholar 

  28. Polman CH, Reingold SC, Banwell B et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69(2):292–302. https://doi.org/10.1002/ana.22366

    Article  PubMed  PubMed Central  Google Scholar 

  29. Thompson AJ, Banwell BL, Barkhof F et al (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 17(2):162–173. https://doi.org/10.1016/S1474-4422(17)30470-2

    Article  PubMed  Google Scholar 

  30. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP (2007) STROBE initiative: the strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet 370(9596):1453–1457

    Article  Google Scholar 

  31. Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33(11):1444–1452. https://doi.org/10.1212/wnl.33.11.1444

    Article  CAS  PubMed  Google Scholar 

  32. Zigmond AS, Snaith RP (1986) The hospital anxiety and depression scale. Acta Psychiatr Scand 67(6):361–370. https://doi.org/10.1111/j.1600-0447.1983.tb09716.x

    Article  Google Scholar 

  33. Benedict RH, Fischer JS, Archibald CJ et al (2002) Minimal neuropsychological assessment of MS patients: a consensus approach. Clin Neuropsychol 16(3):381–397. https://doi.org/10.1076/clin.16.3.381.13859

    Article  PubMed  Google Scholar 

  34. Marrie RA, Zhang L, Lix LM et al (2018) The validity and reliability of screening measures for depression and anxiety disorders in multiple sclerosis. Mult Scler Relat Disord 20:9–15. https://doi.org/10.1016/j.msard.2017.12.007

    Article  PubMed  Google Scholar 

  35. Benedict RH, Cookfair D, Gavett R et al (2006) Validity of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS). J Int Neuropsychol Soc 12(4):549–558. https://doi.org/10.1017/s1355617706060723

    Article  PubMed  Google Scholar 

  36. Walker LAS, Marino D, Berard JA et al (2017) Canadian normative data for minimal assessment of cognitive function in multiple sclerosis. Can J Neurol Sci 44(5):547–555. https://doi.org/10.1017/cjn.2017.199

    Article  PubMed  Google Scholar 

  37. American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596

  38. Zimmerman M, Martin J, McGonigal P et al (2019) Validity of the DSM-5 anxious distress specifier for major depressive disorder. Depress Anxiety 36(1):31–38. https://doi.org/10.1002/da.22837

    Article  PubMed  Google Scholar 

  39. Zhou Y, Cao Z, Yang M et al (2017) Comorbid generalized anxiety disorder and its association with quality of life in patients with major depressive disorder. Sci Rep 7:40511. https://doi.org/10.1038/srep40511

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. DeLuca AK, Lenze EJ, Mulsant BH et al (2005) Comorbid anxiety disorder in late life depression: association with memory decline over four years. Int J Geriatr Psychiatry 20(9):848–854. https://doi.org/10.1002/gps.1366

    Article  PubMed  Google Scholar 

  41. Alhurani AS, Dekker RL, Abed MA et al (2015) The association of co-morbid symptoms of depression and anxiety with all-cause mortality and cardiac rehospitalization in patients with heart failure. Psychosomatics 56(4):371–380. https://doi.org/10.1016/j.psym.2014.05.022

    Article  PubMed  Google Scholar 

  42. Ionescu DF, Niciu MJ, Henter ID, Zarate CA (2013) Defining anxious depression: a review of the literature. CNS Spectr 18(5):252–260. https://doi.org/10.1017/S1092852913000114

    Article  PubMed  PubMed Central  Google Scholar 

  43. Gulpers B, Ramakers I, Hamel R et al (2016) Anxiety as a predictor for cognitive decline and dementia: a systematic review and meta-analysis. Am J Geriatr Psychiatry 24(10):823–842. https://doi.org/10.1016/j.jagp.2016.05.015

    Article  PubMed  Google Scholar 

  44. Eysenck MW, Moser JS, Derakshan N, Hepsomali P, Allen P (2023) A neurocognitive account of attentional control theory: How does trait anxiety affect the brain’s attentional networks? Cogn Emot 37(2):220–237. https://doi.org/10.1080/02699931.2022.2159936

    Article  PubMed  Google Scholar 

  45. Moran TP (2016) Anxiety and working memory capacity: a meta-analysis and narrative review. Psychol Bull 142(8):831–864. https://doi.org/10.1037/bul0000051

    Article  PubMed  Google Scholar 

  46. Kizilbash AH, Vanderploeg RD, Curtiss G (2002) The effects of depression and anxiety on memory performance. Arch Clin Neuropsychol 17(1):57–67. https://doi.org/10.1093/arclin/17.1.57

    Article  PubMed  Google Scholar 

  47. Sumowski JF, Benedict R, Enzinger C et al (2018) Cognition in multiple sclerosis: state of the field and priorities for the future. Neurology 90:278–288. https://doi.org/10.1212/WNL.0000000000004977

    Article  PubMed  PubMed Central  Google Scholar 

  48. Siddiqi SH, Kletenik I, Anderson MC et al (2023) Lesion network localization of depression in multiple sclerosis. Nature Mental Health 1:36–44. https://doi.org/10.1038/s44220-022-00002-y

    Article  Google Scholar 

  49. Masuccio FG, Gamberini G, Calabrese M, Solaro C (2021) Imaging and depression in multiple sclerosis: a historical perspective. Neurol Sci 42(3):835–845. https://doi.org/10.1007/s10072-020-04951-z

    Article  PubMed  Google Scholar 

  50. Hillyer A, Sharma M, Kuurstra A et al (2023) Association between limbic system lesions and anxiety in persons with multiple sclerosis. Mult Scler Relat Disord 79:105021. https://doi.org/10.1016/j.msard.2023.105021. (Epub 2023 Sep 29)

    Article  PubMed  Google Scholar 

  51. Minden SL, Feinstein A, Kalb RC et al (2014) Guideline development subcommittee of the American Academy of Neurology. Evidence-based guideline: assessment and management of psychiatric disorders in individuals with MS: report of the Guideline Development Subcommittee of the American Academy of Neurology. Neurology 82(2):174–181. https://doi.org/10.1212/WNL.0000000000000013

    Article  PubMed  PubMed Central  Google Scholar 

  52. Kennedy SH, Lam RW, McIntyre RS et al (2016) Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 clinical guidelines for the management of adults with major depressive disorder: se ction 3. Pharmacological treatments. Can J Psychiatry 61(9):540–560. https://doi.org/10.1177/0706743716659417

    Article  PubMed  PubMed Central  Google Scholar 

  53. Fava M, Rush AJ, Alpert JE et al (2008) Difference in treatment outcome in outpatients with anxious versus nonanxious depression: a STAR*D report. Am J Psychiatry 165(3):342–351. https://doi.org/10.1176/appi.ajp.2007.06111868

    Article  PubMed  Google Scholar 

  54. van Bronswijk SC, Lemmens LHJM, Huibers MJH, Arntz A, Peeters FPML (2018) The influence of comorbid anxiety on the effectiveness of Cognitive Therapy and Interpersonal Psychotherapy for Major Depressive Disorder. J Affect Disord 232:52–60. https://doi.org/10.1016/j.jad.2018.02.003

    Article  PubMed  Google Scholar 

  55. Hershenberg R, Rapaport M & Weischedel K (2022) Identification and management of anxious depression in patients with treatment-resistant depression. In: Managing treatment-resistant depression (pp 415–440). Academic Press

  56. Duan Y, Wei J, Geng W et al (2021) Research on cognitive function in anxious depression patients in China. J Affect Disord 280(Pt A):121–126. https://doi.org/10.1016/j.jad.2020.11.078. (Epub 2020 Nov 11)

    Article  PubMed  Google Scholar 

  57. Peres DS, Rodrigues P, Viero FT et al (2022) Prevalence of depression and anxiety in the different clinical forms of multiple sclerosis and associations with disability: a systematic review and meta-analysis. Brain Behav Immun Health 24:100484. https://doi.org/10.1016/j.bbih.2022.100484

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Funding

No funding was received to assist with the preparation of this manuscript or for conducting this study.

Author information

Authors and Affiliations

Authors

Contributions

David E. Freedman, Jiwon Oh, Alex Kiss, and Anthony Feinstein contributed to the study conception and design. Data collection and analysis were performed by David E. Freedman, Alex Kiss, Juliana Puopolo, Margaret Wishart, Cecilia Meza, and Anthony Feinstein. The first draft of the manuscript was written by David E. Freedman and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to David E. Freedman.

Ethics declarations

Conflicts of interest

Dr. Oh has received grants from Biogen-Idec, Roche, and EMD-Serono; consulting fees from Biogen-Idec, EMD-Serono, BMS, Novartis, Eli-Lilly, Sanofi, and Roche; payment or honoraria from EMD-Serono, Biogen-Idec, Novartis, Roche, and Sanofi; participation on a Data Safety Monitoring or Advisory Board for Biogen-Idec, EMD-Serono, Roche, Novartis, and Sanofi; and leadership or fiduciary role as Chair of Medical Advisory Committee for MS Society of Canada during the conduct of this study. Dr. Feinstein has received grants from MS Society of Canada, CIHR, and Bristol Myers Squibb; royalties from Johns Hopkins University Press and Cambridge University Press; and honoraria from Novartis during the conduct of this study. All other authors have no relevant financial or non-financial interests to disclose.

Ethical approval

This retrospective chart review study involving human participants was performed in line with the principles of the Declaration of Helsinki. The study was approved by the Research Ethics Board at Sunnybrook Health Sciences Centre, affiliated to the University of Toronto (Date: December 30, 2021/No. 5263).

Informed consent

Data were collected as part of a retrospective chart review and a waiver of consent was obtained as part of the research ethics board approval process.

Additional information

Disclaimers: The views expressed in the submitted article are our own and not an official position of the associated institutions.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 18 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Freedman, D.E., Oh, J., Kiss, A. et al. The influence of depression and anxiety on cognition in people with multiple sclerosis: a cross-sectional analysis. J Neurol (2024). https://doi.org/10.1007/s00415-024-12409-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00415-024-12409-x

Keywords

Navigation