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Meme Sağlığı Algısı Kısa Anketi: Türkçe geçerlik ve güvenirlik çalışması

Year 2025, Volume: 6 Issue: 1, 66 - 71, 30.04.2025

Seda Başak , Gülcan Bahçecioğlu Turan , Zülfünaz Özer

https://doi.org/10.61534/anatoljhr.1510235

Abstract

Amaç: Bu araştırma, kadınlarda Meme Sağlığı Algısı Kısa Anketi’nin Türkçe geçerlik ve güvenirliğini incelemek amacıyla yapıldı.
Yöntem: Bu metodolojik araştırma, Fırat Üniversitesi Hastanesi’nin Dahili polikliniklerine başvuran 400 kadın birey ile yapıldı. Ölçeğin çeviri süreci ardından kapsam ve yapı geçerliliği yapıldı. Yapı geçerliliği için Açıklayıcı Faktör Analizi (AFA) ve Doğrulayıcı Faktör Analizi (DFA), güvenirlik için madde analizleri ve iç tutarlık analizi yapıldı.
Bulgular: Yapılan değerlendirme ve analizler sonucunda; açıklayıcı faktör analizinde açıklanan toplam varyans oranı %66.35 bulundu. Bütün maddelerin faktör yükleri 0.69-0.88 arasında değiştiği belirlendi. Ölçeğin Cronbach’s alpha değerinin 0.940 olduğu belirlendi. Yapılan AFA ve DFA sonucunda 11 maddeli ve tek alt boyutlu Meme Sağlığı Algısı Kısa Anketi’nin Türkçe formunun orijinal ölçek formunda hiçbir değişiklik olmadan doğrulandığı görüldü. DFA sonucunda iyi uyum indeks değerleri elde edildi.
Sonuçlar: Meme Sağlığı Algısı Kısa Anketi’nin Türkçe versiyonu, kadınların meme sağlık algısını değerlendirmek ve klinik uygulamalarda kullanılması için geçerli ve güvenilir bir ölçme aracıdır.

Keywords

geçerlik güvenirlik kadın meme kanseri ölçek

References

  • Al-Azri, M., Al-Awisi, H., Al-Rasbi, S., El-Shafie, K., Al-Hinai, M., Al-Habsi, H., & Al-Moundhri, M. (2014). Psychosocial impact of breast cancer diagnosis among Omani women. Oman Medical Journal, 29(6), 437. https://doi.org/10.5001/omj.2014.115
  • Alavi, M., Visentin, D. C., Thapa, D. K., Hunt, G. E., Watson, R., & Cleary, M. (2020). Chi-square for model fit in confirmatory factor analysis. Journal of Advanced Nursing, 76(9), 2209–2211. https://doi.org/10.1111/jan.14399
  • Alipour, S., Rashidi, H., Maajani, K., Orouji, M., & Eskandari, Y. (2022). Development, validation, and implementation of a Short Breast Health Perception Questionnaire. BMC Public Health, 22(1), 1-8. https://doi.org/10.1186/s12889-022-13501-5
  • Bae, B.R. (2017). Structural equation modeling with Amos 24. Chenngram Books.
  • Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6, 149. https://doi.org/10.3389/fpubh.2018.00149
  • Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 68(6), 394–424. https://doi.org/10.3322/caac.21492
  • Byrne, B. M. (2013). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge.
  • Ceylan, E., & Rızalar, S. (2022). Turkish validity and reliability of body image after breast cancer questionnaire. Journal of Education and Research in Nursing 19(2), 182-190. https://doi.org/10.5152/jern.2021.56578
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2012). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları (Vol. 2). Pegem Akademi. [in Turkish]
  • DeSantis, C. E., Ma, J., Gaudet, M. M., Newman, L. A., Miller, K. D., Goding Sauer, A., Jemal, A., & Siegel, R. L. (2019). Breast cancer statistics, 2019. CA: A Cancer Journal for Clinicians, 69(6), 438–451. https://doi.org/10.3322/caac.21583
  • DeVellis, R. F., & Thorpe, C. T. (2021). Scale development: Theory and applications. Sage Publications.
  • Finch, W. H. (2019). Exploratory factor analysis (Vol. 182). Sage Publications.
  • Goldberg, D. P., & Hillier, V. F. (1979). A scaled version of the General Health Questionnaire. Psychological Medicine, 9(1), 139-145. https://doi.org/10.1017/s0033291700021644
  • Gözüm, S., Karayurt, Ö., & Aydın, İ. (2004). The results of Turkish adaptations of Champion’s Health Belief Model Scale at Breast Cancer Screening. Journal of Research and Development in Nursing, 6(1), 71-85.
  • Grove, S. K., Burns, N., & Gray, J. (2012). The practice of nursing research: Appraisal, synthesis, and generation of evidence. Elsevier Health Sciences.
  • Güzel, N., & Bayraktar, N. (2019). Determination of women’s awareness and practices on early diagnosis of breast cancer. Journal of Hacettepe University Faculty of Nursing, 6(2), 101-110.
  • Heiestad, H., Gjestvang, C., & Haakstad, L. A. (2020). Investigating self-perceived health and quality of life: A longitudinal prospective study among beginner recreational exercisers in a fitness club setting. BMJ Open, 10(6), e036250. https://doi.org/10.1136/bmjopen-2019-036250
  • Johnson, R. B., & Christensen, L. (2019). Educational research: Quantitative, qualitative, and mixed approaches. Sage Publications.
  • Kılıç, S. (2016). Cronbach’s alpha reliability coefficient. Journal of Mood Disorders, 6(1), 47-48. https://doi.org/10.5455/jmood.20160307122823
  • Kline, R. B. (2016). Principles and practice of structural equation modeling. Guilford Publications.
  • Lee, B.-A., & Oh, D.-J. (2013). The effects of health perception on living health belief, living satisfaction and wellbeing-oriented activities according to swimming participation with middle-aged women. Journal of Exercise Rehabilitation, 9(3), 381. https://doi.org/10.12965/jer.130047
  • Marmot, M. G., Altman, D., Cameron, D., Dewar, J., Thompson, S., & Wilcox, M. (2013). The benefits and harms of breast cancer screening: An independent review. British Journal of Cancer, 108(11), 2205-2240. https://doi.org/10.1038/bjc.2013.177
  • Noble, S., Scheinost, D., & Constable, R. T. (2019). A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. Neuroimage, 203, 116157. https://doi.org/10.1016/j.neuroimage.2019.116157
  • Noh, G. (2019). The proper methods of statistical analysis for dissertation: SPSS & AMOS 21. Hanbit Academy.
  • Orçan, F. (2018). Exploratory and confirmatory factor analysis: Which one to use first? Journal of Measurement and Evaluation in Education and Psychology, 9(4), 414-421. https://doi.org/10.21031/epod.394323
  • Özdemir, S. Ç., Sağlam, H. Y., Yiğit, D., & Arık, R. (2021). Relationship between profession choices and health perception of nursing students. Health and Society, 31(3), 128-136.
  • Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge.
  • Polit, D., & Beck, C. (2020). Essentials of nursing research: Appraising evidence for nursing practice. Lippincott Williams & Wilkins.
  • Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30(4), 459 https://doi.org/10.1002/nur.20199
  • Prinsen, C. A., Mokkink, L. B., Bouter, L. M., Alonso, J., Patrick, D. L., De Vet, H. C., & Terwee, C. B. (2018). COSMIN guideline for systematic reviews of patient-reported outcome measures. Quality of Life Research, 27(5), 1147-1157. https://doi.org/10.1007/s11136-018-1798-3
  • Schumacker, R. E., & Lomax, R. G. (2010). A beginner's guide to structural equation modeling (3 ed.). Taylor and Francis Group.
  • Secginli, S. (2012). Mammography self-efficacy scale and breast cancer fear scale: Psychometric testing of the Turkish versions. Cancer Nursing, 35(5), 365-373. https://doi.org/10.1097/NCC.0b013e3182331a9a
  • Seçer, İ. (2020). Psikolojik test geliştirme ve uyarlama süreci: SPSS ve LISREL uygulamaları. Anı Yayıncılık. [in Turkish]
  • Shields, M., & Shooshtari, S. (2001). Determinants of self-perceived health. Health Reports, 13(1), 35–52.
  • Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2019). Using multivariate statistics (7 ed. Vol. 7). MA: Pearson.
  • Taylan, S., Özkan, İ., & Adıbelli, D. (2021). Breast Cancer Perception Scale: Psychometric development study. European Journal of Breast Health, 17(2), 95. https://doi.org/10.4274/ejbh.galenos.2020.6088
  • World Health Organization [WHO]. (2023). Breast cancer. https://www.who.int/news-room/fact-sheets/detail/breast-cancer
  • Woo, J. P. (2017). The concept and understanding of structural equation model. Hannarae.
  • Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior Research Methods, 51(1), 409–428. https://doi.org/10.3758/s13428-018-1055-2
  • Yılmaz, M., & Durmuş, T. (2016). Health beliefs and breast cancer screening behavior among a group of female health professionals in Turkey. The Journal of Breast Health, 12(1), 18. https://doi.org/10.5152/tjbh.2015.2715

Short Breast Health Perception Questionnaire: Turkish validity and reliability study

Year 2025, Volume: 6 Issue: 1, 66 - 71, 30.04.2025

Seda Başak , Gülcan Bahçecioğlu Turan , Zülfünaz Özer

https://doi.org/10.61534/anatoljhr.1510235

Abstract

Aim: The aim of the present study was to examine the Turkish validity and reliability of the Short Breast Health Perception Questionnaire in women.
Method: A total of 400 women who were admitted to the Internal Medicine polyclinics of Fırat University Hospital were included in this methodological study. After the translation process of the questionnaire, content and construct validity were conducted. Explanatory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were conducted for construct validity, while item analyses and internal consistency analysis were conducted for reliability.
Results: It Total variance rate explained in the explanatory factor analysis found as a result of the evaluations and analyses was 66.35%. Factor loads of all items in the study ranged between 0.69 and 0.88. The questionnaire had a Cronbach’s alpha value of 0.940. EFA and CFA showed that the Turkish version of the 11-item and one-factor Short Breast Health Perception Questionnaire was confirmed without any changes to the original scale form. CFA results showed good fit index values.
Conclusion: Short Breast Health Perception Questionnaire Turkish version is a valid and reliable measurement instrument for evaluating women’s perception of breast health and for use in clinical practice.

Keywords

breast cancer reliability scale validity woman

References

  • Al-Azri, M., Al-Awisi, H., Al-Rasbi, S., El-Shafie, K., Al-Hinai, M., Al-Habsi, H., & Al-Moundhri, M. (2014). Psychosocial impact of breast cancer diagnosis among Omani women. Oman Medical Journal, 29(6), 437. https://doi.org/10.5001/omj.2014.115
  • Alavi, M., Visentin, D. C., Thapa, D. K., Hunt, G. E., Watson, R., & Cleary, M. (2020). Chi-square for model fit in confirmatory factor analysis. Journal of Advanced Nursing, 76(9), 2209–2211. https://doi.org/10.1111/jan.14399
  • Alipour, S., Rashidi, H., Maajani, K., Orouji, M., & Eskandari, Y. (2022). Development, validation, and implementation of a Short Breast Health Perception Questionnaire. BMC Public Health, 22(1), 1-8. https://doi.org/10.1186/s12889-022-13501-5
  • Bae, B.R. (2017). Structural equation modeling with Amos 24. Chenngram Books.
  • Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6, 149. https://doi.org/10.3389/fpubh.2018.00149
  • Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 68(6), 394–424. https://doi.org/10.3322/caac.21492
  • Byrne, B. M. (2013). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge.
  • Ceylan, E., & Rızalar, S. (2022). Turkish validity and reliability of body image after breast cancer questionnaire. Journal of Education and Research in Nursing 19(2), 182-190. https://doi.org/10.5152/jern.2021.56578
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2012). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları (Vol. 2). Pegem Akademi. [in Turkish]
  • DeSantis, C. E., Ma, J., Gaudet, M. M., Newman, L. A., Miller, K. D., Goding Sauer, A., Jemal, A., & Siegel, R. L. (2019). Breast cancer statistics, 2019. CA: A Cancer Journal for Clinicians, 69(6), 438–451. https://doi.org/10.3322/caac.21583
  • DeVellis, R. F., & Thorpe, C. T. (2021). Scale development: Theory and applications. Sage Publications.
  • Finch, W. H. (2019). Exploratory factor analysis (Vol. 182). Sage Publications.
  • Goldberg, D. P., & Hillier, V. F. (1979). A scaled version of the General Health Questionnaire. Psychological Medicine, 9(1), 139-145. https://doi.org/10.1017/s0033291700021644
  • Gözüm, S., Karayurt, Ö., & Aydın, İ. (2004). The results of Turkish adaptations of Champion’s Health Belief Model Scale at Breast Cancer Screening. Journal of Research and Development in Nursing, 6(1), 71-85.
  • Grove, S. K., Burns, N., & Gray, J. (2012). The practice of nursing research: Appraisal, synthesis, and generation of evidence. Elsevier Health Sciences.
  • Güzel, N., & Bayraktar, N. (2019). Determination of women’s awareness and practices on early diagnosis of breast cancer. Journal of Hacettepe University Faculty of Nursing, 6(2), 101-110.
  • Heiestad, H., Gjestvang, C., & Haakstad, L. A. (2020). Investigating self-perceived health and quality of life: A longitudinal prospective study among beginner recreational exercisers in a fitness club setting. BMJ Open, 10(6), e036250. https://doi.org/10.1136/bmjopen-2019-036250
  • Johnson, R. B., & Christensen, L. (2019). Educational research: Quantitative, qualitative, and mixed approaches. Sage Publications.
  • Kılıç, S. (2016). Cronbach’s alpha reliability coefficient. Journal of Mood Disorders, 6(1), 47-48. https://doi.org/10.5455/jmood.20160307122823
  • Kline, R. B. (2016). Principles and practice of structural equation modeling. Guilford Publications.
  • Lee, B.-A., & Oh, D.-J. (2013). The effects of health perception on living health belief, living satisfaction and wellbeing-oriented activities according to swimming participation with middle-aged women. Journal of Exercise Rehabilitation, 9(3), 381. https://doi.org/10.12965/jer.130047
  • Marmot, M. G., Altman, D., Cameron, D., Dewar, J., Thompson, S., & Wilcox, M. (2013). The benefits and harms of breast cancer screening: An independent review. British Journal of Cancer, 108(11), 2205-2240. https://doi.org/10.1038/bjc.2013.177
  • Noble, S., Scheinost, D., & Constable, R. T. (2019). A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. Neuroimage, 203, 116157. https://doi.org/10.1016/j.neuroimage.2019.116157
  • Noh, G. (2019). The proper methods of statistical analysis for dissertation: SPSS & AMOS 21. Hanbit Academy.
  • Orçan, F. (2018). Exploratory and confirmatory factor analysis: Which one to use first? Journal of Measurement and Evaluation in Education and Psychology, 9(4), 414-421. https://doi.org/10.21031/epod.394323
  • Özdemir, S. Ç., Sağlam, H. Y., Yiğit, D., & Arık, R. (2021). Relationship between profession choices and health perception of nursing students. Health and Society, 31(3), 128-136.
  • Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge.
  • Polit, D., & Beck, C. (2020). Essentials of nursing research: Appraising evidence for nursing practice. Lippincott Williams & Wilkins.
  • Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30(4), 459 https://doi.org/10.1002/nur.20199
  • Prinsen, C. A., Mokkink, L. B., Bouter, L. M., Alonso, J., Patrick, D. L., De Vet, H. C., & Terwee, C. B. (2018). COSMIN guideline for systematic reviews of patient-reported outcome measures. Quality of Life Research, 27(5), 1147-1157. https://doi.org/10.1007/s11136-018-1798-3
  • Schumacker, R. E., & Lomax, R. G. (2010). A beginner's guide to structural equation modeling (3 ed.). Taylor and Francis Group.
  • Secginli, S. (2012). Mammography self-efficacy scale and breast cancer fear scale: Psychometric testing of the Turkish versions. Cancer Nursing, 35(5), 365-373. https://doi.org/10.1097/NCC.0b013e3182331a9a
  • Seçer, İ. (2020). Psikolojik test geliştirme ve uyarlama süreci: SPSS ve LISREL uygulamaları. Anı Yayıncılık. [in Turkish]
  • Shields, M., & Shooshtari, S. (2001). Determinants of self-perceived health. Health Reports, 13(1), 35–52.
  • Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2019). Using multivariate statistics (7 ed. Vol. 7). MA: Pearson.
  • Taylan, S., Özkan, İ., & Adıbelli, D. (2021). Breast Cancer Perception Scale: Psychometric development study. European Journal of Breast Health, 17(2), 95. https://doi.org/10.4274/ejbh.galenos.2020.6088
  • World Health Organization [WHO]. (2023). Breast cancer. https://www.who.int/news-room/fact-sheets/detail/breast-cancer
  • Woo, J. P. (2017). The concept and understanding of structural equation model. Hannarae.
  • Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior Research Methods, 51(1), 409–428. https://doi.org/10.3758/s13428-018-1055-2
  • Yılmaz, M., & Durmuş, T. (2016). Health beliefs and breast cancer screening behavior among a group of female health professionals in Turkey. The Journal of Breast Health, 12(1), 18. https://doi.org/10.5152/tjbh.2015.2715
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Details

Primary Language English
Subjects Nursing (Other)
Journal Section Research Articles
Authors

Seda Başak 0000-0001-5323-2452

Gülcan Bahçecioğlu Turan 0000-0002-0061-9490

Zülfünaz Özer 0000-0002-2431-2346

Publication Date April 30, 2025
Submission Date July 4, 2024
Acceptance Date February 11, 2025
Published in Issue Year 2025 Volume: 6 Issue: 1

Cite

APA Başak, S., Bahçecioğlu Turan, G., & Özer, Z. (2025). Short Breast Health Perception Questionnaire: Turkish validity and reliability study. Anatolian Journal of Health Research, 6(1), 66-71. https://doi.org/10.61534/anatoljhr.1510235
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