Ewha Med J.  2024 Oct;47(4):e74. 10.12771/emj.2024.e74.

The McCusker Subjective Cognitive Impairment Inventory (McSCI): a novel measure of perceived cognitive decline – a Korean translation

Affiliations
  • 1Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
  • 2School of Psychology, Murdoch University, Murdoch, WA, Australia
  • 3School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
  • 4Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, Macquarie Park, NSW, Australia
  • 5School of Psychological Science, University of Western Australia, Crawley, WA, Australia
  • 6Department of Neurology, University of California, Sacramento, CA, USA
  • 7Experimental Psychology Unit, School of Arts and Humanities, Edith Cowan University, Joondalup, WA, Australia


Figure

  • 그림. 1. SCD(subjective cognitive decline) 특성 수준과 McSCI-S(McCusker Subjective Cognitive Impairment Inventory) 예상 점수 간의 관계. x축은 잠재적 특성 수준(SCCs)을 나타내며, 점수가 높을수록 더 많은 불만을 나타낸다. y축은 예상되는 McSCI-S 총점을 보여준다. S자형 곡선은 잠재적 특성과 총점 간의 관계를 나타낸다.


Cited by  1 articles

Halted medical education in Korea amid Nobel Prizes in deep learning and machine learning research, tribute to a leader of Ewha Womans University College of Medicine, and highlights from this issue
Sun Huh
Ewha Med J. 2024;47(4):e71.    doi: 10.12771/emj.2024.e71.


Reference

References

1. Jessen F, Amariglio RE, Buckley RF, van der Flier WM, Han Y, Molinuevo JL, et al. The characterisation of subjective cognitive decline. Lancet Neurol. 2020; 19(3):271–278. DOI: 10.1016/S1474-4422(19)30368-0. PMID: 31958406.
2. Jessen F, Kleineidam L, Wolfsgruber S, Bickel H, Brettschneider C, Fuchs A, et al. Prediction of dementia of Alzheimer type by different types of subjective cognitive decline. Alzheimers Dement. 2020; 16(12):1745–1749. DOI: 10.1002/alz.12163. PMID: 33140565.
Article
3. Sohrabi HR, Weinborn M. Cognitive impairments in Alzheimer's disease and other neurodegenerative diseases. In. Martins RN, Brennan CS, Binosha Fernando WMAD, Brennan MA, Fuller SJ, editors. editors. Neurodegeneration and Alzheimer's disease: the role of diabetes, genetics, hormones, and lifestyle. West Sussex: John Wiley & Sons;2019. p. p. 267–290. DOI: 10.1002/9781119356752.ch9.
Article
4. Zhao Z, Wang J, Wang Y, Liu X, He K, Qihao G, et al. 18F-AV45 PET and MRI reveal the influencing factors of Alzheimer’s disease biomarkers in subjective cognitive decline population. J Alzheimers Dis. 2023; 93(2):585–594. DOI: 10.3233/JAD-221251. PMID: 37066915.
Article
5. Kielb S, Rogalski E, Weintraub S, Rademaker A. Objective features of subjective cognitive decline in a United States national database. Alzheimers Dement. 2017; 13(12):1337–1344. DOI: 10.1016/j.jalz.2017.04.008. PMID: 28586648. PMCID: PMC5712483.
Article
6. Nunnally JC, Bernstein IH. Psychometric theory. 3rd ed. New York: McGraw-Hill;1994.
7. Crawford J, Smith G, Maylor E, Della Sala S, Logie R. The prospective and retrospective memory questionnaire (PRMQ): normative data and latent structure in a large non-clinical sample. Memory. 2003; 11(3):261–275. DOI: 10.1080/09658210244000027. PMID: 12908675.
Article
8. Crook TH, Feher EP, Larrabee GJ. Assessment of memory complaint in age-associated memory impairment: the MAC-Q. Int Psychogeriatr. 1992; 4(2):165–176. DOI: 10.1017/S1041610292000991. PMID: 1477304.
Article
9. Gilewski MJ, Zelinski EM, Schaie KW. The memory functioning questionnaire for assessment of memory complaints in adulthood and old age. Psychol Aging. 1990; 5(4):482–490. DOI: 10.1037/0882-7974.5.4.482. PMID: 2278670.
Article
10. Rami L, Mollica MA, García-Sanchez C, Saldaña J, Belen S, Sala I, et al. The subjective cognitive decline questionnaire (SCD-Q): a validation study. J Alzheimers Dis. 2014; 41(2):453–466. DOI: 10.3233/JAD-132027. PMID: 24625794.
11. Rabin LA, Smart CM, Crane PK, Amariglio RE, Berman LM, Boada M, et al. Subjective cognitive decline in older adults: an overview of self-report measures used across 19 international research studies. J Alzheimers Dis. 2015; 48:Suppl 1. S63–S86. DOI: 10.3233/JAD-150154. PMID: 26402085. PMCID: PMC4617342.
12. Johnson LA, Sohrabi HR, Hall JR, Kevin T, Edwards M, O'Bryant SE, et al. A depressive endophenotype of poorer cognition among cognitively healthy community-dwelling adults: results from the Western Australia memory study. Int J Geriatr Psychiatry. 2015; 30(8):881–886. DOI: 10.1002/gps.4231. PMID: 25394326.
Article
13. Sohrabi HR, Bates KA, Rodrigues M, Taddei K, Martins G, Laws SM, et al. The relationship between memory complaints, perceived quality of life and mental health in apolipoprotein Eε4 carriers and non-carriers. J Alzheimers Dis. 2009; 17(1):69–79. DOI: 10.3233/JAD-2009-1018. PMID: 19494432.
Article
14. Goozee K, Chatterjee P, James I, Shen K, Sohrabi HR, Asih PR, et al. Elevated plasma ferritin in elderly individuals with high neocortical amyloid-β load. Mol Psychiatry. 2018; 23(9):1807–1812. DOI: 10.1038/mp.2017.146. PMID: 28696433.
Article
15. Fowler C, Rainey-Smith SR, Bird S, Bombe J, Bourgeat P, Brown B, et al. Fifteen years of the Australian imaging, biomarkers and lifestyle (AIBL) study: progress and observations from 2,359 older adults spanning the spectrum from cognitive normality to Alzheimer’s disease. J Alzheimers Dis Rep. 2021; 5(1):443–468. DOI: 10.3233/ADR-210005. PMID: 34368630. PMCID: PMC8293663.
Article
16. Bateman RJ, Aisen PS, De Strooper B, Fox NC, Lemere CA, Ringman JM, et al. Autosomal-dominant Alzheimer's disease: a review and proposal for the prevention of Alzheimer's disease. Alzheimers Res Ther. 2011; 3(1):1–13. DOI: 10.1186/alzrt59. PMID: 21211070. PMCID: PMC3109410.
Article
17. Sohrabi HR, Weinborn M, Martins RN. The McCusker subjective cognitive impairment inventory (McSCI): a new self-report measure of cognitive concerns. In. In : 12th International Conference on Alzheimer's & Parkinson's Diseases: AD/PD™ 2015; 2015 Mar 18-22; Nice, France. 2015.
18. Sohrabi HR, Weinborn M, Shen K, Martins RN. McCusker subjective cognitive decline inventory: development of a new measure. In. In : 6th International Conference on Memory (ICOM6); 2016 Jul 17-22; Budapest, Hungary. 2016.
19. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005; 53(4):695–699. DOI: 10.1111/j.1532-5415.2005.53221.x. PMID: 15817019.
Article
20. Delis DC, Kramer JH, Kaplan E, Ober BA. Manual for the California verbal learning test (CVLT-II). San Antonio: The Psychological Corporation;2000.
21. Reitan RM. Validity of the trail making test as an indicator of organic brain damage. Percept Mot Skills. 1958; 8(3):271–276. DOI: 10.2466/pms.1958.8.3.271.
Article
22. Arbuthnott K, Frank J. Trail making test, part B as a measure of executive control: validation using a set-switching paradigm. J Clin Exp Neuropsychol. 2000; 22(4):518–528. DOI: 10.1076/1380-3395(200008)22:4;1-0;FT518. PMID: 10923061.
Article
23. Lovibond SH, Lovibond PF. Manual for the depression anxiety stress scales. Sydney: Psychology Foundation of Australia;1995. DOI: 10.1037/t01004-000.
24. Samejima F. Graded response models. In. van der Linden WJ, editor. editor. Handbook of item response theory. Vol 1. New York: Chapman & Hall;2016. p. p. 123–136.
25. Muthén B, Muthén L. Mplus. In. van der Linden WJ, editor. editor. Handbook of item response theory. Vol 3. New York: Chapman & Hall;2017. p. p. 201–212.
26. R Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing;2019.
27. Youden WJ. Index for rating diagnostic tests. Cancer. 1950; 3(1):32–35. DOI: 10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3. PMID: 15405679.
Article
28. Topcu Dİ, Çubukçu HC. Optimization of patient-based real-time quality control based on the Youden index. Clin Chim Acta. 2022; 534:50–56. DOI: 10.1016/j.cca.2022.06.028. PMID: 35810801.
29. Schisterman EF, Perkins NJ, Liu A, Bondell H. Optimal cut-point and its corresponding Youden index to discriminate individuals using pooled blood samples. Epidemiology. 2005; 16(1):73–81. DOI: 10.1097/01.ede.0000147512.81966.ba. PMID: 15613948.
Article
30. Tucker-Drob EM, Brandmaier AM, Lindenberger U. Coupled cognitive changes in adulthood: a meta-analysis. Psychol Bull. 2019; 145(3):273–301. DOI: 10.1037/bul0000179. PMID: 30676035. PMCID: PMC6375773.
31. Kuhn E, Perrotin A, Tomadesso C, André C, Sherif S, Bejanin A, et al. Subjective cognitive decline: opposite links to neurodegeneration across the Alzheimer’s continuum. Brain Commun. 2021; 3(3):fcab199. DOI: 10.1093/braincomms/fcab199. PMID: 34704027. PMCID: PMC8421692.
32. Slavin MJ, Sachdev PS, Kochan NA, Woolf C, Crawford JD, Giskes K, et al. Predicting cognitive, functional, and diagnostic change over 4 years using baseline subjective cognitive complaints in the Sydney memory and ageing study. Am J Geriatr Psychiatry. 2015; 23(9):906–914. DOI: 10.1016/j.jagp.2014.09.001. PMID: 25441053.
Article
33. Zlatar ZZ, Muniz MC, Espinoza SG, Gratianne R, Gollan TH, Galasko D, et al. Subjective cognitive decline, objective cognition, and depression in older Hispanics screened for memory impairment. J Alzheimers Dis. 2018; 63(3):949–956. DOI: 10.3233/JAD-170865. PMID: 29689718. PMCID: PMC5988433.
Article
34. Sohrabi HR, Weinborn M, Laske C, Bates KA, Christensen D, Taddei K, et al. Subjective memory complaints predict baseline but not future cognitive function over three years: results from the Western Australia memory study. Int Psychogeriatr. 2019; 31(4):513–525. DOI: 10.1017/S1041610218001072. PMID: 30277188.
Article
35. Reid M, Parkinson L, Gibson R, Schofield P, D'Este C, Attia J, et al. Memory complaint questionnaire performed poorly as screening tool: validation against psychometric tests and affective measures. J Clin Epidemiol. 2012; 65(2):199–205. DOI: 10.1016/j.jclinepi.2011.06.006. PMID: 21889305.
Article
36. Ibnidris A, Robinson JN, Stubbs M, Piumatti G, Govia I, Albanese E, et al. Evaluating measurement properties of subjective cognitive decline self-reported outcome measures: a systematic review. Syst Rev. 2022; 11(1):144. DOI: 10.1186/s13643-022-02018-y. PMID: 35850915. PMCID: PMC9290248.
37. Zlatar ZZ, Muniz M, Galasko D, Salmon DP, Banks SJ. Subjective cognitive decline correlates with depression symptoms and not with concurrent objective cognition in a clinic-based sample of older adults. J Gerontol B. 2018; 73(8):1198–1202. DOI: 10.1093/geronb/gbw207. PMID: 28329816. PMCID: PMC6146771.
Article
38. Seo EH, Kim H, Choi KY, Lee KH, Choo IH. Association of subjective memory complaint and depressive symptoms with objective cognitive functions in prodromal Alzheimer's disease including pre-mild cognitive impairment. J Affect Disord. 2017; 217:24–28. DOI: 10.1016/j.jad.2017.03.062. PMID: 28380342.
Article
39. Hill NL, Mogle J, Whitaker EB, Gilmore-Bykovskyi A, Bhargava S, Bhang IY, et al. Sources of response bias in cognitive self-report items: "which memory are you talking about?". Gerontologist. 2019; 59(5):912–924. DOI: 10.1093/geront/gny087. PMID: 30085104.
Full Text Links
  • EMJ
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2025 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr