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Tip 2 Diyabet Hastalarında İlaç Uyumu ve Etkileyen Faktörler

Year 2025, Volume: 9 Issue: 2, 116 - 123, 31.08.2025
https://doi.org/10.25048/tudod.1709451

Abstract

Amaç: Bu çalışma klinik ve sosyo-demografik özellikler ile ilaç uyumu arasındaki ilişkiyi incelemeyi amaçlamaktadır.
Gereç ve Yöntemler: Kesitsel tipteki bu nicel çalışmamıza, Ankara 29 Mayıs Devlet Hastanesi dahiliye polikliniklerine 20 Kasım
2023–20 Şubat 2024 tarihleri arasında Tip 2 diyabet kontrol muayenesi için başvuran 431 hasta katılmıştır. Dolayısıyla bu çalışmanın
verileri, Ankara 29 Mayıs Devlet Hastanesi dahiliye polikliniklerine ilgili zaman diliminde muayene olmak için başvuran tip 2 diyabetli
katılımcılarından elde edilen veriler ile sınırlıdır. Araştırmada veri analizlerinde tanımlayıcı istatistikler (frekans, yüzde, ortalama,
standart sapma) ve farklılık testleri (varyans analizi ve t-testi) kullanılmıştır. Farklılık testleri kapsamında sosyo-demografik değişkenler
ve klinik duruma ilişkin yaşam tarzı alışkanlıkları ile ilaç uyum düzeyi arasındaki anlamlı farklılıklar analiz edilmiştir. Anlamlı fark
tespit edildiğinde farkların hangi gruplar arasında olduğunu tespit etmek için Post-Hoc testi kullanılmıştır. Veri analizi için SPSS 26
sürümü kullanılmıştır.
Bulgular: Diyetisyene yönlendirilen hastaların ilaç uyum raporu ölçeği ortalamaları (23,9±1,74) yönlendirilmeyenlere göre daha
fazladır (t= 3,07, p= 0,002). Önerilen diyete dikkat edenlerin ilaç uyum raporu ölçeği ortalamaları (24±1,60) dikkat etmeyenlere göre daha fazladır (t= 3,31, p= 0,001). Öğün atlamadığını belirten hastaların ilaç uyum raporu ölçeği ortalamaları (24±1,69) atlayanlara göre
daha fazladır ve bu fark istatistiksel olarak anlamlıdır (t= -2,28, p = 0,023). Egzersiz yapan bireylerin ilaç uyumu anlamlı şekilde (F=
4,96, p=0,002) daha yüksektir.
Sonuç: İlaç uyumu açısından egzersiz ve diyet gibi sağlıklı yaşam tarzı alışkanlıklarının kazandırılması önemli bir gereklilik olarak
düşünülmektedir.

References

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Medication Adherence and Affecting Factors in Type 2 Diabetes Patients

Year 2025, Volume: 9 Issue: 2, 116 - 123, 31.08.2025
https://doi.org/10.25048/tudod.1709451

Abstract

Aim: This study aims to examine the relationship between clinical and socio-demographic characteristics and medication adherence.
Material and Methods: In this cross-sectional field study, 431 patients who applied to the internal medicine outpatient clinics of Ankara
29 Mayıs State Hospital between November 20, 2023 and February 2024 for Type 2 diabetes control examination participated. Therefore,
the data of this study are limited to the data obtained from participants with type 2 diabetes who applied to the internal medicine
outpatient clinics of Ankara 29 Mayıs State Hospital for examination in the relevant time period. Descriptive statistics (frequency,
percentage, mean, standard deviation) and difference tests (analysis of variance and t-test) were used in the data analysis of the study.
Within the scope of difference tests, significant differences between socio-demographic variables and lifestyle habits related to clinical
status and medication adherence levels were analyzed. When a significant difference was detected, a post-hoc test was used to determine
which groups the differences were between. SPSS version 26 was used for data analysis.
Results: The mean scores of the medication adherence scale of patients referred to a dietitian (23.9±1.74) were higher than those of
patients who were not referred (t= 3.07, p= 0.002). The mean score on the medication adherence scale (24±1.60) of those who followed
the recommended diet was higher than those who did not (t= 3.31, p= 0.001). The average score on the medication adherence scale for
patients who reported not skipping meals (24±1.69) was higher than for those who did skip meals, and this difference was statistically
significant (t= -2.28, p= 0.023). Medication compliance of individuals who exercise is significantly higher (F= 4.96, p=0.002).
Conclusion: From the point of view of drug compliance, it is considered an important requirement to acquire healthy lifestyle habits
such as exercise and diet.

References

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  • 2. Mambiya M, Shang M, Wang Y, Li Q, Liu S, Yang L, Zhang Q, Zhang K, Liu M, Nie F, Zeng F, Liu W. The Play of Genes and Non-genetic Factors on Type 2 Diabetes. Front Public Health. 2019;7:349. doi: 10.3389/fpubh.2019.00349.
  • 3. World Health Organization. World Health Statistics 2016: Monitoring health for the sustainable development goals (SDGs). Geneva: World Health Organization; 2016. Available from: https://www.who.int/docs/default-source/gho-documents/ world-health-statistic-reports/world-heatlth-statistics- 2016.pdf
  • 4. International Diabetes Federation. IDF Diabetes Atlas - Tenth Edition [Internet]. 2021. p. 75-99. Available from: https://diabetesatlas. org
  • 5. Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, Malanda B. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271-281. doi: 10.1016/j.diabres. 2018.02.023.
  • 6. GBD 2021 Diabetes Collaborators. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2023;402(10397):203-234. doi: 10.1016/S0140-6736(23)01301-6.
  • 7. Chatterjee S, Khunti K, Davies MJ. Type 2 diabetes. Lancet. 2017;389(10085):2239-2251. doi: 10.1016/S0140- 6736(17)30058-2.
  • 8. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010;33 Suppl 1(Suppl 1):S62-9. doi: 10.2337/dc10-S062.
  • 9. Nalysnyk L, Hernandez-Medina M, Krishnarajah G. Glycaemic variability and complications in patients with diabetes mellitus: evidence from a systematic review of the literature. Diabetes Obes Metab. 2010;12(4):288-98. doi: 10.1111/j.1463- 1326.2009.01160.x.
  • 10. Bhutani J, Bhutani S. Worldwide burden of diabetes. Indian J Endocrinol Metab. 2014;18(6):868-70. doi: 10.4103/2230- 8210.141388.
  • 11. Psaltopoulou T, Ilias I, Alevizaki M. The role of diet and lifestyle in primary, secondary, and tertiary diabetes prevention: a review of meta-analyses. Rev Diabet Stud. 2010;7(1):26-35. doi: 10.1900/RDS.2010.7.26.
  • 12. Abahussain NA, El-Zubier AG. Diabetes knowledge among self reported diabetic female teachers: Al-khobar, saudi arabia. J Family Community Med. 2005;12(1):43-8.
  • 13. Abbas A, Nasir H, Zehra A, Noor A, Jabbar FA, & Siddqui B. Assessment of depression as comorbidity in diabetes mellitus DM patients using beck depression inventory II (BDI II) scale. Journal of Young Pharmacists, (2015);7(3), 206.
  • 14. Polonsky WH, Henry RR. Poor medication adherence in type 2 diabetes: recognizing the scope of the problem and its key contributors. Patient Prefer Adherence. 2016;10:1299-307. doi: 10.2147/PPA.S106821.
  • 15. Atlas D. International diabetes federation. IDF Diabetes Atlas, 7th edn. Brussels, Belgium: International Diabetes Federation, 2015;33(2).
  • 16. While A. Medication adherence: understanding the issues and finding solutions. British Journal of Community Nursing, 2025;25(10), 474-479.
  • 17. Sabaté E. (Ed.). Adherence to long-term therapies: evidence for action. World Health Organization 2003.
  • 18. Osterberg L, & Blaschke T. Drug therapy. New England Journal of Medicine, 2005;353(5), 487-497.
  • 19. Kardas P, Lewek P, & Matyjaszczyk M. Determinants of patient adherence: a review of systematic reviews. Frontiers in pharmacology, 2013;4, 91.
  • 20. Asha A, Pradeepa R, & Mohan V. Evidence for benefits from diabetes education program. International journal of diabetes in developing countries, 2004;24, 96-102.
  • 21. Kang H. Sample size determination and power analysis using the G* Power software. Journal of educational evaluation for health professions, 2021;18.
  • 22. Ko MJ, & Lim CY. General considerations for sample size estimation in animal study. Korean Journal of Anesthesiology, 2021;74(1), 23-29.
  • 23. Horne R, & Evans N. Concordance and medicines management in the respiratory arena. Newmarket, UK: Hayward Medical Communications, 2003;1-12.
  • 24. Sandy R, & Connor U. Variation in medication adherence across patient behavioral segments: a multi-country study in hypertension. Patient preference and adherence, 2015;1539- 1548.
  • 25. Sen E, Berk H, & Sindel D. The validity and reliability study of the Turkish adaptation of medical adherence report scale. Journal of Istanbul Faculty of Medıcıne-Istanbul Tıp Fakultesı Dergısı, 2019;82(1).
  • 26. Baltacı G, & Tedavi F. Obezite ve egzersiz. Sağlık Bakanlığı Yayınları, Ankara, 2018;730, 13-16.
  • 27. Pallant J. SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge, 2020.
  • 28. Zinbarg RE, Revelle W, Yovel I, Li W. Cronbach’s α, Revelle’s β, and McDonald’s ω H: Their relations with each other and two alternative conceptualizations of reliability. psychometrika, 2015;70, 123-133.
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There are 69 citations in total.

Details

Primary Language Turkish
Subjects Public Health Nutrition, ​Internal Diseases, Health Care Administration
Journal Section Research Article
Authors

Ferhat Bolukçu 0000-0002-4062-6193

Şebnem Yücel 0000-0003-2135-242X

Publication Date August 31, 2025
Submission Date May 30, 2025
Acceptance Date August 18, 2025
Published in Issue Year 2025 Volume: 9 Issue: 2

Cite

APA Bolukçu, F., & Yücel, Ş. (2025). Tip 2 Diyabet Hastalarında İlaç Uyumu ve Etkileyen Faktörler. Turkish Journal of Diabetes and Obesity, 9(2), 116-123. https://doi.org/10.25048/tudod.1709451
AMA Bolukçu F, Yücel Ş. Tip 2 Diyabet Hastalarında İlaç Uyumu ve Etkileyen Faktörler. Turk J Diab Obes. August 2025;9(2):116-123. doi:10.25048/tudod.1709451
Chicago Bolukçu, Ferhat, and Şebnem Yücel. “Tip 2 Diyabet Hastalarında İlaç Uyumu Ve Etkileyen Faktörler”. Turkish Journal of Diabetes and Obesity 9, no. 2 (August 2025): 116-23. https://doi.org/10.25048/tudod.1709451.
EndNote Bolukçu F, Yücel Ş (August 1, 2025) Tip 2 Diyabet Hastalarında İlaç Uyumu ve Etkileyen Faktörler. Turkish Journal of Diabetes and Obesity 9 2 116–123.
IEEE F. Bolukçu and Ş. Yücel, “Tip 2 Diyabet Hastalarında İlaç Uyumu ve Etkileyen Faktörler”, Turk J Diab Obes, vol. 9, no. 2, pp. 116–123, 2025, doi: 10.25048/tudod.1709451.
ISNAD Bolukçu, Ferhat - Yücel, Şebnem. “Tip 2 Diyabet Hastalarında İlaç Uyumu Ve Etkileyen Faktörler”. Turkish Journal of Diabetes and Obesity 9/2 (August2025), 116-123. https://doi.org/10.25048/tudod.1709451.
JAMA Bolukçu F, Yücel Ş. Tip 2 Diyabet Hastalarında İlaç Uyumu ve Etkileyen Faktörler. Turk J Diab Obes. 2025;9:116–123.
MLA Bolukçu, Ferhat and Şebnem Yücel. “Tip 2 Diyabet Hastalarında İlaç Uyumu Ve Etkileyen Faktörler”. Turkish Journal of Diabetes and Obesity, vol. 9, no. 2, 2025, pp. 116-23, doi:10.25048/tudod.1709451.
Vancouver Bolukçu F, Yücel Ş. Tip 2 Diyabet Hastalarında İlaç Uyumu ve Etkileyen Faktörler. Turk J Diab Obes. 2025;9(2):116-23.

Turkish Journal of Diabetes and Obesity (Turk J Diab Obes) is a scientific publication of Zonguldak Bulent Ecevit University Obesity and Diabetes Research and Application Center.

A Collaboration Protocol was signed between the Turkish Obesity Research Association and Zonguldak Bülent Ecevit University by taking an important step from the Turkish Journal of Diabetes and Obesity. As the Turkish Journal of Diabetes and Obesity, we are proud to open the doors of a new era in scientific publishing. With the collaboration of the Turkish Obesity Research Association and Zonguldak Bülent Ecevit University, our journal will now serve as a joint publication platform.

This is a refereed journal, which is published in printed and electronic forms. It aims at achieving free knowledge to the related national and international organizations and individuals.

This journal is published annually three times (in April, August and December).

The publication language of the journal is Turkish and English.