The Turkish Validity and Reliability of The Adolescent Dysmenorrhea Self-Care Scale

Year 2023, , 299 - 307, 15.06.2023

Enise Sürücü , Ayşe Ergün

https://doi.org/10.33808/clinexphealthsci.983007

Abstract

Objective: Dysmenorrhea is a common health problem that negatively affects daily life and academic skills when not managed well. This study was conducted to examine the Turkish validity and reliability of the Adolescent Dysmenorrhea Self-Care Scale.
Methods: This methodological study was conducted in 7 high schools in Bursa, Turkey. The research was carried out with 1041 high school students who met the participation criteria. The Adolescent Dysmenorrhea Self-Care Scale was adapted to Turkish by using translation-back translation method. The validity of the scale was evaluated with the content validity index, confirmatory factor analysis, similarity and discriminant validity coefficients and reliability, item-total correlation, internal consistency coefficient and test-retest analysis.
Results: According to the evaluations of the 10 experts whose opinions were taken for the Content Validity, it is determined that each item scored above 3 (3.52-4.00), and the mean score was 3.92 ± 0.14 and the content validity index was .98. Cronbach’s alpha reliability coefficient was found α = .96. Confirmatory factor analysis fit indexes and similarity and discriminant validity coefficients showed that the scale has sufficient compatibility with the theoretical six-factor structure. Item total correlations of subdimensions were r = .20-.68 and Cronbach's alpha coefficients were .77-.65. Test-retest correlations of the Adolescent Dysmenorrhea Self-Care Scale and its subdimensions were found r = .87-.99.
Conclusion: Turkish Adolescent Dysmenorrhea Self-Care Scale is a valid and reliable data collection tool consisting of 40 items and six subdimensions.

Keywords

Dysmenorrhea, Orem’s self-care theory, reliability and validity, self-care.

References

• Armour M, Parry K, Al-Dabbas MA, Curry C, Holmes K, MacMillan F, Ferfolja T, Smith CA. Self-care strategies and sources of knowledge on menstruation in 12,526 young women with dysmenorrhea: a systematic review and meta-analysis. PLoS One 2019;14(7):1-18. DOI:10.1371/journal.pone.0220103
• Armour M, Parry K, Manohar N, Holmes K, Ferfolja T, Curry C, MacMillan F, Smith CA. The prevalence and academic impact of dysmenorrhea in 21,573 young women: A systematic review and meta-analysis. J Womens Health (Larchmt) 2019;28(8):1161-1171. DOI:10.1089/jwh.2018.7615
• Molla A, Duko B, Girma B, Madoro D, Nigussie J, Belayneh Z, Mengistu N, Mekuriaw B. Prevalence of dysmenorrhea and associated factors among students in Ethiopia: A systematic review and meta-analysis. Womens Health (Lond). 2022;18(1):1-11. DOI:10.1177/17455057221079443
• De Sanctis V, Soliman AT, Daar S, Di Maio S, Elalaily R, Fiscina B, Kattamis C. Prevalence, attitude and practice of self-medication among adolescents and the paradigm of dysmenorrhea self-care management in different countries. Acta Biomed. 2020;91(1):182-192. DOI:10.23750/abm.v91i1.9242
• Parra-Fernández ML, Onieva-Zafra MD, Abreu-Sánchez A, Ramos-Pichardo JD, Iglesias-López MT, Fernández-Martínez E. Management of primary dysmenorrhea among university students in the South of Spain and family influence. Int J Environ Res Public Health 2020;17(15):5570. DOI:10.3390/ijerph17155570
• Jiang X, Walker K, Topps AK. A systematic review of self-care measures for adolescents with health needs. Qual Life Res. 2021;30(4):967-981. DOI: 10.1007/s11136-020-02685-1
• Hartweg DL, Metcalfe SA. Orem’s self-care deficit nursing theory: relevance and need for refinement. Nurs Sci Q. 2022;35(1):70-76. DOI:10.1177/08943184211051369
• Çelik AS, Apay SE. Effect of progressive relaxation exercises on primary dysmenorrhea in Turkish students: a randomized prospective controlled trial. Complement Ther Clin Pract. 2021;42(1):1-6. DOI:10.1016/j.ctcp.2020.101280
• Gebeyehu MB, Mekuria AB, Tefera YG, Andarge DA, Debay YB, Bejiga GS, Gebresillassie BM. Prevalence, impact, and management practice of dysmenorrhea among University of Gondar students, Northwestern Ethiopia: A cross-sectional study. Int J Reprod Med. 2017;2017(1):1-8. DOI:10.1155/2017/3208276
• Shetty GB, Shetty B, Mooventhan A. Efficacy of acupuncture in the management of primary dysmenorrhea: a randomized controlled trial. J Acupunct Meridian Stud. 2018;11(4):153-158. DOI:10.1016/j.jams.2018.04.001
• Armour M, Smith CA, Steel KA, Macmillan F. The effectiveness of self-care and lifestyle interventions in primary dysmenorrhea: A systematic review and meta-analysis. BMC Complement Altern Med. 2019;19(1):1-16. DOI:10.1186/s12906-019-2433-8
• Chen L, Tang L, Guo S, Kaminga AC, Xu H. Primary dysmenorrhea and self-care strategies among Chinese college girls: A cross-sectional study. BMJ Open. 2019;9(9):1-9. DOI:10.1136/bmjopen-2018-026813
• Yamamoto E. The development and relevant factors of a self-care scale for young females with dysmenorrhea. Asian J Human Services 2019;16(1):68-86. DOI:10.14391/ajhs.16.68
• Kulakaç Ö, Öncel S, Fırat MZ, Akcan A. Menstruasyon tutum ölçeği: Geçerlik ve güvenirlik çalışması. Turkiye Klinikleri J Gynecol Obst. 2008;18(6):347-356. (Turkish)
• Güvenç G, Seven M, Akyüz A. Menstrüasyon semptom ölçeği’nin Türkçe’ye uyarlanması. Türk Silahlı Kuvvetleri Koruyucu Hekim Bul. 2014;13(5):367-374. DOI:10.5455/pmb1-1378840527 (Turkish)
• Güler ÖT, Ataçağ T, Yaycı E, Çetin A, Çetin M. Validation of Turkish version of premenstrual symptoms impact survey™ (PMSIS™) for assessing status of premenstrual syndrome in women of reproductive age. Alpha Psychiatry 2015;16(3):205-211. DOI:10.5455/apd.172033
• Gün Ç. Dismenore etkilenmişlik ölçeğinin geliştirilmesi, Doktora Tezi 2014, Marmara Üniversitesi, İstanbul (Turkish)
• Ogunfowokan AA, Babatunde OA. Management of primary dysmenorrhea by school adolescents in ILE-IFE, Nigeria. J Sch Nurs. 2010;26(2):131-136. DOI:10.1177/1059840509349723
• Hsieh CH, Gau ML, Mao HC, Li CY. The development and psychometric testing of a self-care scale for dysmenorrhic adolescents. J Nurs Res. 2004;12(2):119-130. DOI:10.1097/01.jnr.0000387495.01557.aa.
• Deligeoroglou E, Creatsas G. Menstrual disorders. Sultan C, editors. Pediatric and Adolescent Gynecology Evidence-Based Clinical Practice 2nd, revised and extended edition. Basel: Karger Publishers; 2012.p.160–170.
• Yazıcı S. Perimenstrual şikayetler ve hemşirelik yaklaşımı. HSP. 2014;1(1):58-67. DOI:10.17681/hsp.77225 (Turkish)
• Gaskin J. Name of tab, stats tools package. Updated [04 December 2022]. Accessed [17 January 2023]. http://statwiki.gaskination.com/index.php?title=Main_Page
• Hair JF, Matthews LM, Matthews RL, Sarstedt M. PLS-SEM or CB-SEM: Updated guidelines on which method to use. Int. J. Multivar. Data Anal. 2017;1(2):107-123. DOI:10.1504/IJMDA.2017.087624
• Rae G. A note on using stratified alpha to estimate the composite reliability of a test composed of interrelated nonhomogeneous items. Psychol Methods 2007;12(2):177-184. DOI:10.1037/1082-989X.12.2.177
• Sousa VD, Rojjanasrirat W. Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline. J Eval Clin Pract. 2011;17(2):268-274. DOI:10.1111/j.1365-2753.2010.01434.x
• Polit DF, Beck CT. The content validity index: are you sure you know what's being reported? critique and recommendations. Res Nurs Health. 2006;29(5):489-497. DOI:10.1002/nur.20147
• Kline RB. Principles and Practice of Structural Equation Modeling. 2nd ed. New York: The Guilford Press; 2005.
• Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis. 7th ed. New York: Pearson; 2010.
• Hooper D, Coughlan J, Mullen M. Structural equation modelling: Guidelines for determining model fit. Electron J Bus Res Methods. 2008;6(1):53-60. DOI:10.21427/D7CF7R
• Marsh HW, Balla J. Goodness of fit in confirmatory factor analysis: the effects of sample size and model parsimony. Qual Quant. 1994;28(2):185-217. DOI:10.1007/BF01102761
• Kenny DA. Measuring model fit. Updated [05 June 2020]. Accessed [14 August 2021]. http://davidakenny.net/cm/fit.htm
• Crowley SL, Fan X. Structural equation modeling: basic concepts and applications in personality assessment research. J Pers Assess. 1997;68(3):508-531. DOI:10.1207/s15327752jpa6803_4
• Gaskin J. Confirmatory factor analysis. Updated [04 December 2022]. Accessed [17 January 2023]. http://statwiki.gaskination.com/index.php?title=CFA
• Jöreskog KG. Factor analysis by MINRES. Published [13 March 2003]. Accessed [04 July 2017]. https://www.ssicentral.com/wp-content/uploads/2021/04/lis_minres.pdf
• Hair JF, Black W, Babin B, Anderson R, Tatham R. Multivariate Data Analysis. 6th ed. Upper Saddle River, NJ: Pearson Prentice Hall; 2006.
• Özdamar K. Eğitim, Sağlık ve Davranış Bilimlerinde Ölçek ve Test Geliştirme Yapısal Eşitlik Modellemesi: IBM SPSS, IBM SPSS AMOS ve MINITAB Uygulamalı. 1nd ed. Ankara: Nisan Kitabevi; 2016.p.286. (Turkish)
• Yeh ML, Hung YL, Chen HH, Lin JG, Wang YJ. Auricular acupressure combined with an internet-based intervention or alone for primary dysmenorrhea: a control study. Evid Based Complement Alternat Med. 2013;2013(1):1-8. DOI:10.1155/2013/316212
• Wong CL, Ip WY, Choi KC, Lam LW. Examining self-care behaviors and their associated factors among adolescent girls with dysmenorrhea: an application of Orem’s self-care deficit nursing theory. J Nurs Scholarsh. 2015;47(3):219-227. DOI:10.1111/jnu.12134
• Clark LA, Watson D. Constructing validity: New developments in creating objective measuring instruments. Psychol Assess. 2019;31(12):1412-1427. DOI: 10.1037/pas0000626
• Streiner DL, Norman GR, Cairney J. Health measurement scales: A practical guide to their development and use (5th edition). Aust N Z J Public Health. 2016;40(3):294-295. DOI:10.1111/1753-6405.12484