Research Article
Year 2022,
Volume: 5 Issue: 2, 56 - 60, 27.06.2022
Abstract
Amaç: Sunulan çalışmada bir halk sağlığı sorunu olarak tanımlanan ve etkilenen bireyde abdominal obezite, hiperglisemi, hipertansiyon, insülin direnci ve dislipidemi ile birliktelik gösteren metabolik sendrom konusunda, gelecekte bu hastalarla doğrudan etkileşimde bulunma potansiyeli taşıyan tıp fakültesi öğrencilerinin farkındalık düzeylerinin incelenmesi amaçlandı. Bu sayede klinik öncesi ve sonrası dönemler arasındaki farkındalık düzeylerinin tespiti hedeflendi. Yöntem: Bu amaçla görece yeni bir risk skoru anketi olan JAMRISC, klinik öncesi ve sonrası olarak gruplandırılan tıp fakültesi öğrencilerine uygulandı. Çalışmaya toplam olarak yaşları 17-29 arasında değişkenlik gösteren (kadın:68 (%41,7), erkek:95(%58,3)) 163 tıp fakültesi lisans öğrencisi dahil edilmiştir ve bu öğrencilerin tümüyle anket gerçekleştirilmiştir. Bulgular: Çalışmanın sonuçlarına göre pre-klinik ve klinik öğrencilerinin demografik verilerine göre yaş ve cinsiyet bakımından istatistiksel olarak anlamlı bir farklılık görülmüştür (sırasıyla; p<0,001, p<0,001). Bunun yanında boy, kilo ve bel çevresi değişkenleri pre-klinik ve klinik öğrencilerinde istatistiksel olarak anlamlı bir farklılığa sahiptir (sırasıyla; p=0,002, p<0,001, p<0,001). Farkındalık düzeyini ölçen skor için klinik ve pre-klinik öğrencisi olmasına göre eşik değeri belirlemek için ROC analizi uygulanmıştır. ROC analizi sonucunda eğri altında kalan alan AUC=0,602; p=0,018 olarak anlamlı bulunmuştur. Sonuç: Sunulan çalışmada tıp eğitimi alan ve hekim adayı olan üniversite öğrencilerinin öğrenim süresi ilerleyip ders ve klinik staj dönemi arttıkça metabolik sendrom farkındalığının arttığı belirlenmiştir.
References
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- 13. Salinero-Fort MA, Burgos-Lunar C, Lahoz C, et al. Performance of the finnish diabetes risk score and a simplified finnish diabetes risk score in a community-based, cross-sectional programme for screening of undiagnosed type 2 diabetes mellitus and dysglycaemia in madrid, Spain: The SPREDIA-2 study. PLoS One. 2016;11(7):1-17. doi:10.1371/journal.pone.0158489
- 14. Tan C, Sasagawa Y, Kamo K ichi, et al. Evaluation of the Japanese Metabolic Syndrome Risk Score (JAMRISC): a newly developed questionnaire used as a screening tool for diagnosing metabolic syndrome and insulin resistance in Japan. Environ Health Prev Med. 2016;21(6):470-479. doi:10.1007/s12199-016-0568-5
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Year 2022,
Volume: 5 Issue: 2, 56 - 60, 27.06.2022
Abstract
References
- 1. Kassi E, Pervanidou P, Kaltsas G, Chrousos G. Metabolic syndrome: Definitions and controversies. BMC Med. 2011;9(Appendix 1):1-13. doi:10.1186/1741-7015-9-48
- 2. Bener A, Zirie M, Musallam M, Khader YS, Al-Hamaq AOAA. Prevalence of metabolic syndrome according to adult treatment panel III and international diabetes federation criteria: A population-based study. Metab Syndr Relat Disord. 2009;7(3):221-230. doi:10.1089/met.2008.0077
- 3. Carr DB, Utzschneider KM, Hull RL, et al. Intra-abdominal fat is a major determinant of the National Cholesterol Education Program Adult Treatment Panel III criteria for the metabolic syndrome. Diabetes. 2004;53(8):2087-2094. doi:10.2337/diabetes.53.8.2087
- 4. Christian Flemming GM, Bussler S, Körner A, Kiess W. Definition and early diagnosis of metabolic syndrome in children. J Pediatr Endocrinol Metab. 2020;33(7):821-833. doi:10.1515/jpem-2019-0552
- 5. Pucci G, Alcidi R, Tap L, Battista F, Mattace-Raso F, Schillaci G. Sex- and gender-related prevalence, cardiovascular risk and therapeutic approach in metabolic syndrome: A review of the literature. Pharmacol Res. 2017;120:34-42. doi:10.1016/j.phrs.2017.03.008
- 6. Stanaway JD, Afshin A, Gakidou E, et al. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Stu. Lancet. 2018;392(10159):1923-1994. doi:10.1016/S0140-6736(18)32225-6
- 7. Weihe P, Weihrauch-Blüher S. Metabolic Syndrome in Children and Adolescents: Diagnostic Criteria, Therapeutic Options and Perspectives. Curr Obes Rep. 2019;8(4):472-479. doi:10.1007/s13679-019-00357-x
- 8. Yahia N, Brown C, Rapley M, Chung M. Assessment of college students’ awareness and knowledge about conditions relevant to metabolic syndrome. Diabetol Metab Syndr. 2014;6(1):1-15. doi:10.1186/1758-5996-6-111
- 9. Makrilakis K, Liatis S, Grammatikou S, et al. Validation du questionnaire finlandais calculant un score de risque de diabète (FINDRISC) pour le dépistage du diabète de type 2, des anomalies de la glycorégulation et du syndrome métabolique en Grèce. Diabetes Metab. 2011;37(2):144-151. doi:10.1016/j.diabet.2010.09.006
- 10. Saaristo T, Peltonen M, Lindström J, et al. Cross-sectional evaluation of the Finnish Diabetes Risk Score: A tool to identify undetected type 2 diabetes, abnormal glucose tolerance and metabolic syndrome. Diabetes Vasc Dis Res. 2005;2(2):67-72. doi:10.3132/dvdr.2005.011
- 11. Janghorbani M, Adineh H, Amini M. Evaluation of the Finnish Diabetes Risk Score (FINDRISC) as a screening tool for the metabolic syndrome. Rev Diabet Stud. 2013;10(4):283-292. doi:10.1900/RDS.2013.10.283
- 12. Janghorbani M, Adineh H, Amini M. Finnish Diabetes Risk Score to predict type 2 diabetes in the Isfahan diabetes prevention study. Diabetes Res Clin Pract. 2013;102(3):202-209. doi:10.1016/j.diabres.2013.10.018
- 13. Salinero-Fort MA, Burgos-Lunar C, Lahoz C, et al. Performance of the finnish diabetes risk score and a simplified finnish diabetes risk score in a community-based, cross-sectional programme for screening of undiagnosed type 2 diabetes mellitus and dysglycaemia in madrid, Spain: The SPREDIA-2 study. PLoS One. 2016;11(7):1-17. doi:10.1371/journal.pone.0158489
- 14. Tan C, Sasagawa Y, Kamo K ichi, et al. Evaluation of the Japanese Metabolic Syndrome Risk Score (JAMRISC): a newly developed questionnaire used as a screening tool for diagnosing metabolic syndrome and insulin resistance in Japan. Environ Health Prev Med. 2016;21(6):470-479. doi:10.1007/s12199-016-0568-5
- 15. Havakuk O, Perl ML, Praisler O, et al. The awareness to metabolic syndrome among hospital health providers. Diabetes Metab Syndr Clin Res Rev. 2017;11(3):193-197. doi:10.1016/j.dsx.2016.09.005
There are 15 citations in total.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Clinical Sciences |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | June 27, 2022 |
| Submission Date | March 23, 2022 |
| Acceptance Date | May 25, 2022 |
| Published in Issue | Year 2022 Volume: 5 Issue: 2 |
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