Anxiety in Multiple Sclerosis: psychometric properties of the State-Trait Anxiety Inventory

Acta Neurologica Scandinavica

Volumn 134, Issue 6, 2016, Pages 458-466

  Santangelo, G ^a,b   Sacco, R ^a   Siciliano, M ^a   Bisecco, A ^a   Muzzo, G ^a   Docimo, R ^a   De Stefano, M ^a   Bonavita, S ^a   Lavorgna, L ^a   Tedeschi, G ^a,b   Trojano, L ^a,c   Gallo, A ^a  

^a SECOND UNIVERSITY OF NAPLES   (Italy)

^b IDC Hermitage Capodimonte   (Italy)

^c IRCCS   (Italy)

Author keywords

anxiety; cognitive deficits; depression; multiple sclerosis; STAI Y; validation

Indexed keywords

ADULT; ANXIETY DISORDER; ARTICLE; CONTROLLED STUDY; CORRELATION COEFFICIENT; DEPRESSION; DISEASE SEVERITY ASSESSMENT; DSM-5; FACTOR ANALYSIS; FEMALE; HUMAN; INTERNAL CONSISTENCY; INTERVENTION STUDY; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; MILD COGNITIVE IMPAIRMENT; MULTIPLE SCLEROSIS; OUTCOME ASSESSMENT; PERFORMANCE; PREVALENCE; PSYCHOMETRY; RAO BRIEF REPEATABLE BATTERY; SCORING SYSTEM; STATE TRAIT ANXIETY INVENTORY; STROOP COLOR WORD INTERFERENCE TEST; YOUNG ADULT; ANXIETY; COMPLICATION; NEUROPSYCHOLOGICAL TEST; PSYCHOLOGICAL RATING SCALE; PSYCHOLOGY; REFERENCE VALUE; SEXUAL DEVELOPMENT;

ADULT; ANXIETY; DEPRESSION; FEMALE; HUMANS; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; NEUROPSYCHOLOGICAL TESTS; PREVALENCE; PSYCHIATRIC STATUS RATING SCALES; PSYCHOMETRICS; REFERENCE VALUES; SEX CHARACTERISTICS;

EID: 84958212154     PISSN: 00016314     EISSN: 16000404     Source Type: Journal    
DOI: 10.1111/ane.12564     Document Type: Article

References (37)

1. Marrie RA, Reingold S, Cohen J et al. The incidence and prevalence of psychiatric disorders in multiple sclerosis: a systematic review. Mult Scler 2015;21():305–17. doi:10.1177/1352458514564487.
2. Goretti B, Viterbo RG, Portaccio E et al. Anxiety state affects information processing speed in patients with multiple sclerosis. Neurol Sci 2014;35:559–63. doi:10.1007/s10072-013-1544-0.
3. Julian LJ, Arnett PA. Relationships among anxiety, depression, and executive functioning in multiple sclerosis. Clin Neuropsychol 2009;23:794–804. doi:10.1080/13854040802665808.
4. Moreau T, Schmidt N, Joyeux O, Bungener C, Souvignet V. Coping strategy and anxiety evolution in multiple sclerosis patients initiating interferon-beta treatment. Eur Neurol 2009;62:79–85. doi:10.1159/000222777.
5. Stenager E, Knudsen L, Jensen K. Multiple sclerosis: correlation of anxiety, physical impairment and cognitive dysfunction. Ital J Neurol Sci 1994;15:97–101.
6. Sandi C, Richter-Levin G. From high anxiety trait to depression: a neurocognitive hypothesis. Trends Neurosci 2009;32:312–20. doi:10.1016/j.tins.2009.02.004.
7. Hettema JM. What is the genetic relationship between anxiety and depression? Am J Med Genet C Semin Med Genet 2008;148C:140–6. doi:10.1002/ajmg.c.30171.
8. Kendler KS, Kuhn J, Prescott CA. The interrelationship of neuroticism, sex, and stressful life events in the prediction of episodes of major depression. Am J Psychiatry 2004;161:631–6.
9. Potagas C, Mitsonis C, Watier L et al. Influence of anxiety and reported stressful life events on relapses in multiple sclerosis: a prospective study. Mult Scler 2008;14:1262–8. doi:10.1177/1352458508095331.
10. Bruce JM, Lynch SG. Personality traits in multiple sclerosis: association with mood and anxiety disorders. J Psychosom Res 2011;70:479–85.
11. Ó Donnchadha S, Burke T, Bramham J et al. Symptom overlap in anxiety and multiple sclerosis. Mult Scler 2013;19:1349–54. doi:10.1177/1352458513476742.
12. Honarmand K, Feinstein A. Validation of the Hospital Anxiety and Depression Scale for use with multiple sclerosis patients. Mult Scler 2009;15:1518–24. doi:10.1177/1352458509347150.
13. Spielberger CD, Gorssuch RL, Lushene PR, Vagg PR, Jacobs GA. Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press, Inc, 1983.
14. Bergua V, Meillon C, Potvin O et al. The STAI-Y trait scale: psychometric properties and normative data from a large population-based study of elderly people. Int Psychogeriatr 2012;24:1163–71. doi:10.1017/S1041610212000300.
15. Potvin O, Bergua V, Meillon C et al. Norms and associated factors of the STAI-Y State anxiety inventory in older adults: results from the PAQUID study. Int Psychogeriatr 2011;23:869–79. doi:10.1017/S1041610210002358.
16. Crawford JR, Garthwaite PH, Lawrie CJ et al. A convenient method of obtaining percentile norms and accompanying interval estimates for self-report mood scales (DASS, DASS-21, HADS, PANAS, and sAD). Br J Clin Psychol 2009;48:163–80. doi:10.1348/014466508X377757.
17. Rejdak K, Jackson S, Giovannoni G. Multiple sclerosis: a practical overview for clinicians. Br Med Bull 2010;95:79–104. doi:10.1093/bmb/ldq017.
18. Polman CH, Reingold SC, Banwell B et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011;69:292–302. doi:10.1002/ana.22366.
19. Hays RD, Anderson R, Revicki D. Psychometric considerations in evaluating health-related quality of life measures. Qual Life Res 1993;2:441–9.
20. McHorney CA, Tarlov AR. Individual-patient monitoring in clinical practice: are available health status surveys adequate? Qual Life Res 1995;4:293–307.
21. Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika 1951;16:297–334.
22. Aaronson N, Alonso J, Burnam A et al. Assessing health status and quality-of-life instruments: attributes and review criteria. Qual Life Res 2002;11:193–205.
23. Nunnally JC, Bernstein IH. Psychometric theory. New York, NY: McGraw-Hill, 1994.
24. Juniper EF, Guyatt GH, Jaeschke R. How to develop and validate a new health-related quality of life instrument. Qual of Life Pharmacoeconom Clin Trial 1996;2:49–56.
25. Ebel RL. Measuring educational achievement. Englewood Cliffs, NJ: Prentice-hall, 1965.
26. Quek KF, Low WY, Razack AH, Loh CS, Chua CB. Reliability and validity of the Spielberger State-Trait Anxiety Inventory (STAI) among urological patients: a Malaysian study. Med J Malaysia 2004;59:258–67.
27. Gaudry E, Poole C. A further validation of the state-trait distinction in anxiety research. Aust J Psychol 1975;27:119–25.
28. Gaudry E, Vagg P, Spielberger CD. Validation of the state-trait distinction in anxiety research. Multivar Behav Res 1975;10:331–41.
29. Suzuki T, Tsukamoto K, Abe K. Characteristics factor structures of the Japanese version of the State-Trait Anxiety Inventory: coexistence of positive-negative and state-trait factor structures. J Pers Assess 2000;74:447–58.
30. Vagg PR, Spielberger CD, O'Hearn TP. Is the state-trait anxiety inventory multidimensional? Pers Individ Dif 1980;1:207–14.
31. Bados A, Gómez-Benito J, Balaguer G. The state-trait anxiety inventory, trait version: does it really measure anxiety? J Pers Assess 2010;92:560–7. doi:10.1080/00223891.2010.513295.
32. Bieling PJ, Antony MM, Swinson RP. The State-Trait Anxiety Inventory, Trait version: structure and content re-examined. Behav Res Ther 1998;36:777–88.
33. Zbozinek TD, Rose RD, Wolitzky-Taylor KB et al. Diagnostic overlap of generalized anxiety disorder and major depressive disorder in a primary care sample. Depress Anxiety 2012;29:1065–71. doi:10.1002/da.22026.
34. Bianchi V, De Giglio L, Prosperini L et al. Mood and coping in clinically isolated syndrome and multiple sclerosis. Acta Neurol Scand 2014;129:374–81.
35. Théaudin M, Romero K, Feinstein A. In multiple sclerosis anxiety, not depression, is related to gender. Mult Scler 2015. DOI: 10.1177/1352458515588582. [Epub ahead of print].
36. Sheehan DV, Lecrubier Y, Sheehan KH et al. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry 1998;59(Suppl 20):22–33.
37. Bosnes O, Dahl OP, Almkvist O. Including a subject-paced trial may make the PASAT more acceptable for MS patients. Acta Neurol Scand 2015;132:219–25.