Öz
Amaç
Türkçe’de uykuyu değerlendirmeye yardımcı olacak özgün ve kapsamlı bir öz bildirim ölçeğine ihtiyaç vardır. Bu çalışmanın amacı, Troya Uyku Ölçeğini (TUÖ) geliştirmek, geçerlilik ve güvenilirlik analizlerini yapmaktır.
Gereç ve Yöntem
Çalışma 494 tıp öğrencisi ve asistan hekim ile yürütülmüştür. Geliştirilen ölçeğin psikometrik özellikleri, açımlayıcı ve doğrulayıcı faktör analizleri, Cronbach alfa ve McDonald’s omega güvenilirlik değerlendirmeleri ve hem klasik test teorisi hem de madde tepki teorisine (MTK) dayalı madde analizleri ile değerlendirilmiştir. TUÖ’nin güvenilirlik değerlendirmesi test-tekrar test yoluyla gerçekleştirilmiş ve ek doğrulama sağlamak için ölçüt referanslı geçerlilik kullanılmıştır.
Bulgular
TUÖ, özdeğeri 2’den büyük üç faktörlü bir yapıya sahip 11 maddeden oluşmaktadır. Faktörler, (I) uyku sorunlarına bağlı işlev bozukluğu, (II) uyku sorunlarına bağlı duygudurumu belirtileri ve (III) uyku kalitesi hakkında bilgi sunmaktadır. Her üç alt faktörün ve genel ölçek puanlarının güvenilirlik düzeyleri 0,82 ve üzerindedir. Test-tekrar test güvenirlik düzeyi >0,80 korelasyon değerine sahiptir. MTK doğrultusunda yapılan madde analizleri, ölçek maddelerinin yüksek düzeyde bilgi sağladığını ve cevap seti ile birlikte işlev gördüğünü kanıtlamıştır. TUÖ ile Pittsburgh Uyku Kalitesi İndeksi arasındaki korelasyon, ölçüt referanslı geçerlilik için analiz edilmiş ve 0,73’lük bir korelasyon elde edilmiştir.
Sonuç
TUÖ'nün psikometrik özellikleri, geçerli ve güvenilir olduğunu ve uyku ile ilgili yakınmaları olan bireyler için bir tarama testi olarak kullanılmaya uygun olduğunu göstermiştir.
Anahtar Kelimeler: Uyku, uyku bozukluğu, ölçek geliştirme, Türkçe ölçek, geçerlik, güvenirlik
Kaynakça
K Pavlova M, Latreille V. Sleep disorders. Am J Med. 2019;132(3):292-299.
Ohayon MM. Epidemiology of insomnia: what we know and what we still need to learn. Sleep Med Rev. 2002;6(2):97-111.
Roth T. Insomnia: definition, prevalence, etiology, and consequences. J Clin Sleep Med. 2007;3(5 Suppl):S7-10.
American Academy of Sleep Medicine. The international classification of sleep disorders. 3rd ed. (ICSD-3). Darien IL, American Academy of Sleep Medicine; 2014.
Yetkin S. Uykusuzluk (İnsomni). Uyku Bozuklukları Tanı ve Tedavi Kitabı. In: Akıncı E, Orhan FÖ, Demet MM (editors). 1st ed. Ankara: Türkiye Psikiyatri Derneği Yayınları; 2016. pp. 67-86.
Jiang XL, Zheng XY, Yang J, et al. A systematic review of studies on the prevalence of insomnia in university students. Public Health. 2015;129(12):1579-1584.
Russell K, Allan S, Beattie L, Bohan J, MacMahon K, Rasmussen S. Sleep problem, suicide and self-harm in university students: A systematic review. Sleep Med Rev. 2019;44:58-69.
Carrión-Pantoja S, Prados G, Chouchou F, et al. Insomnia symptoms, sleep hygiene, mental health, and academic performance in Spanish University students: a cross-sectional study. J Clin Med. 2022;11(7):1989.
Mbous YPV, Nili M, Mohamed R, Dwibedi N. Psychosocial correlates of insomnia among college students. Prev Chronic Dis. 2022;19:E60.
Karakoç AGDFY, Dönmez PDL. Ölçek geliştirme çalışmalarında temel ilkeler. TED. 2014;13(40):39-34.
Conley S, Knies A, Batten J, et al. Agreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: A systematic review and meta-analysis. Sleep Med Rev. 2019;46:151-160.
Yi H, Shin K, Shin C. Development of the sleep quality scale. J Sleep Res. 2006;15(3):309-316.
Bozkurt A, Uygur ÖF, Demiröğen EY, Akıncı MA. A review of Turkish self-reporting ınstruments for sleep problems in children, adolescents, and adults. Eurasian J Med. 2023;55(1):S55-S60.
Ağargün MY, Kara H, Anlar Ö. Pittsburgh Uyku Kalitesi İndeksi’nin geçerliği ve güvenirliği. Türk Psikiyatri Derg. 1996;7(2):107-115.
Boysan M, Güleç M, Beşiroğlu L, Kalafat T. Psychometric properties of the insomnia severity index in Turkish sample. Alpha Psychiatry. 2010;11(3):248-252.
Uygur H, Tekdemir R, Uygur OF, et al. Psychometric properties of the Turkish reduced morningness and eveningness questionnaire. Chronobiol Int. 2024;41(5):632-646.
Uygur H, Ahmed O, Uygur OF, et al. Validity and reliability of the Turkish version of the sleep condition indicator: a clinical screening ınstrument based on the DSM-5 criteria for insomnia. Nat Sci Sleep. 2024;16:63-74.
Uygur OF, Uygur H, Chung S, et al. Validity and reliability of the Turkish version of the Glasgow Sleep Effort Scale. Sleep Med. 2022;98:144-151.
Uygur ÖF, Orhan FÖ, Uygur H, Kandeger A, Hursitoglu O. Psychometric properties of the Turkish version of the Anxiety and Preoccupation about Sleep Questionnaire in clinical and non-clinical samples. Sleep Sci. 2022;15(1):68-74.
Hair JF, Black WC, Babin BJ, et al. Multivariate data analysis. Harlow: Pearson Education Limited; 2014.
Aybek EC, Toraman C. How many response categories are sufficient for Likert type scales? an empirical study based on the item response theory. International Journal of Assessment Tools in Education. 2022;9(2):534-547.
Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193-213.
Korkmaz S, Goksuluk D, Zararsiz G. MVN: An r package for assessing multivariate normality. The R Journal. 2014;6(2):151-162.
Kaiser HF, Rice J. Little jiffy, mark IV. Educ Psychol Meas. 1974;34:111-117.
Warner RM. Applied statistics, from bivariate through multivariate techniques. California, SAGE Publications, Inc.; 2013.
Nunnally JC, Bernstein IH. Psychometric theory. 3rd. ed. New York: McGraw-Hill; 1994.
Anderson JC, Gerbing DW. The effect of sampling error on convergence, improper solutions, and goodness of fit ındices for maximum likelihood confirmatory factor analysis. Psychometrika. 1984;49:155-73.
Bentler PM. Comparative fit indexes in structural models. Psychol Bull. 1990;107(2):238-246.
Hooper D, Coughlan J, Mullen MR. Structural equation modelling: Guidelines for determining model fit. Electron J Bus Res Methods. 2008;6(1):53-60.
Hu LT, Bentler PM. Cut off criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling. 2009;(6)1:1-55.
Kline TJB. Psychological testing, a practical approach to design and evaluation. The USA: Sage; 2005.
Marsh HW, Balla JR, McDonald RP. Goodness-of-fit indices in confirmatory factor analysis: the effect of sample size. Psychol Bull. 1998;103(3):391-410.
Tabachnick BG, Fidell LS. Using multivariate statistics. Pearson Education;2013.
Vieira AL. Preparation of the analysis. Interactive LISREL in practice. 1st ed. London: Springer; 2011.
Embretson SE, Reise SP Item response theory for psychologists. 1st ed. New York: Psychological Press; 2000.
Zhao Y. Approaches for addressing the fit of item response theory models to educational test data. PhD dissertation, University of Massachusetts Amherst, Holland; 2008. Available from: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://core.ac.uk/download/pdf/334980854.pdf
Hambleton RK, Swaminathan H, Rogers HJ. Fundamentals of item response theory. 1. st ed. London: Sage Publication; 1991.
Yen WM. Scaling performance assessments: Strategies for managing local item dependence. J Educ Meas. 1993;30(3):187-213.
Chalmers RP. mirt: A multidimensional item response theory package for the R environment. J Stat Softw. 2012;48(6):1-29.
Flannery WP, Reise SP, Widaman KF. An item response theory analysis of the general and academic scales of the self-description questionnaire II. J Res Pers. 1995;29(2):168-188.
Hambleton RK. Guidelines for adapting educational and psychological test: a progress report. Eur J Psychol Assess. 1994;10(3):229-244.
Stout WF. A new item response theory modeling approach with applications to unidimensionality assessment and ability estimation. Psychometrika. 1990;55:293-325.
Edelen MO, Reeve BB. Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Qual Life Res. 2007;16:5-18.
Pallant J. SPSS Survival Manual. 6th ed. USA: McGraw-Hill Education; 2016.
Schober P, Boer C, Schwarte LA. Correlation coefficients: Appropriate use and interpretation. Anaesth Analg. 2018;126(5):1763-1768.
Rumsey DJ. Statistics all-in-one for dummies. New Jersey: John Wiley & Sons, Inc.; 2022.
Carpenter JS, Andrykowski MA. Psychometric evaluation of the Pittsburgh Sleep Quality Index. J Psychosom Res. 1998;45(1):5-13.
Jenkins CD, Stanton BA, Niemcryk SJ, Rose RM. A scale for the estimation of sleep problems in clinical research. J Clin Epidemiol. 1988;41:313-321.
Soldatos CR, Dikeos DG, Paparrigopoulos TJ. Athens Insomnia Scale: validation of an instrument based on ICD-10 criteria. J Psychosom Res. 2000;48(6):555-560.
Cole JC, Motivala SJ, Buysse DJ, Oxman MN, Levin MJ, Irwin MR. Validation of a 3-factor scoring model for the Pittsburgh Sleep Quality Index in older adults. Sleep. 2006;29(1):112-116.
Valenza MC, Cabrera-Martos I, Martín-Martín L, Pérez-Garzón VM, Velarde C, Valenza-Demet G. Nursing homes: impact of sleep disturbances on functionality. Arch Gerontol Geriatr. 2013;56(3):432-436.
Kim M, Yoshida H, Sasai H, Kojima N, Kim H. Association between objectively measured sleep quality and physical function among community-dwelling oldest old Japanese: A cross-sectional study. Geriatr Gerontol Int. 2015;15(8):1040-1048.
Liao H, Liao S, Gao YJ, Mu JP, Wang X, Chen DS. Correlation between Sleep Time, Sleep Quality, and emotional and cognitive function in the elderly. Biomed Res Int. 2022;2022:9709536.
Siddarth P, Thana-Udom K, Ojha R, et al. Sleep quality, neurocognitive performance, and memory self-appraisal in middle-aged and older adults with memory complaints. Int Psychogeriatr. 2021;33(7):703-713.
Tel H. The quality of sleep and the quality of life among the elderly people. Eur Psychiatry. 2011;26(S2):405-405.
Riemann D; Workshop Participants. Does effective management of sleep disorders reduce depressive symptoms and the risk of depression? Drugs. 2009;69 (Suppl 2):43-64.


