KORELASI ANTARA INDEKS MASSA TUBUH (IMT) DENGAN RISIKO PENYAKIT KARDIOVASKULER MENGGUNAKAN SKOR RISIKO FRAMINGHAM PADA POPULASI DI KOTA MATARAM

Authors

  • Intania Rosati Fakultas Kedokteran Universitas Mataram
  • Yanna Indrayana Fakultas Kedokteran Universitas Mataram
  • Dian Puspita Sari Fakultas Kedokteran Universitas Mataram

DOI:

https://doi.org/10.29303/jku.v6i3.1.288

Keywords:

Penyakit kardiovaskular, obesitas, IMT, Skor Risiko Framingham

Abstract

Latar Belakang: Obesitas merupakan permasalahan kesehatan dunia. Prevalensi obesitas di Indonesia meningkat tahun 2007 hingga tahun 2013. Riskesdas 2013 menyatakan penyakit tidak menular nomor satu yang disebabkan oleh obesitas adalah penyakit kardiovaskuler. Metode pengukuran obesitas yang paling sering digunakan adalah indeks massa tubuh (IMT). Skor risiko Framingham seringkali dipakai sebagai metode penilaian risiko penyakit kardiovaskuler selama 10 tahun yang akan datang. Penelitian ini bertujuan untuk mengetahui korelasi antara IMT dengan risiko penyakit kardiovaskuler menggunakan persentase skor risiko Framingham.

Metode: Penelitian ini meggunakan rancangan penelitian deskriptif analitik dengan pendekatan potong lintang. Penelitian dilaksanakan di Lombok Epicentrum Mall pada bulan Oktober 2015. Sebanyak 66 partisipan berusia lebih dari 50-74 tahun yang memenuhi kriteria inklusi dan eksklusi diikutsertakan pada penelitian ini. Tingkat risiko penyakit kardiovaskular diestimasi berdasarkan Framingham Risk Score yang meliputi usia, jenis kelamin, merokok, tekanan darah sistolik, diabetes mellitus, kolesterol total, dan kolesterol HDL. Pengukuran IMT dihitung dengan membagi berat badan dengan kuadrat tinggi badan.   Data dianalisis dengan uji korelasi Spearman.

Hasil: Hasil penelitian menunjukkan bahwa rentang nilai IMT pada subyek penelitian adalah 18,54 – 38,21 kg/m2 dengan median 24,41 kg/m2. Sementara nilai median persentase FRS pada penelitian ini adalah 9,1% dengan rentang minimum dan maksimum adalah 2,19 – 63,34%. Berdasarkan uji korelasi Spearman diperoleh koefisien korelasi sebesar -0,066 (p=0,596).

Kesimpulan: Terdapat korelasi yang tidak signifikan antara IMT dengan risiko penyakit kardiovaskular menggunakan persentase skor risiko Framingham pada populasi di Kota Mataram.

References

1. World Health Organization. 2003. World Health Organization/ International Society of Hypertension (WHO/ISH) risk prediction charts. [pdf]. Available at : https://www.ncbi.nlm.nih.gov

2. Kementrian Kesahatan Republk Indonesia. 2007. Riset Kesehatan Dasar. Badan Penelitian Dan Pengembangan Kesehatan Kementerian Kesehatan RI. [pdf]. Available at : https://www.k4health.org/sites/default/.../laporanNasional%20Riskesdas%202007.pdf

3. Kementrian Kesahatan Republk Indonesia. 2013. Riset Kesehatan Dasar. Badan Penelitian Dan Pengembangan Kesehatan Kementerian Kesehatan RI. [pdf]. Available at : www.depkes.go.id/resources/download/general/Hasil%20Riskesdas%202013.pdf

4. Departemen Kesehatan RI. 2013. Profil Kesehatan Indonesia. Availbale at : www.depkes.go.id

5. Poirier et al. 2006. Obesity and Cardiovascular Disease Pathophysiology, Evaluation, and Effect of Weight Loss. Arterioscler Thromb Vasc Biol. 2006; 26:968-976. Available at : http://atvb.ahajournals.org/content/26/5/968.full

6. Selvarajah, S et al. 2014. Comparison of the Framingham Risk Score, SCORE, and WHO/ISH cardiovascular risk prediction models in an Asian Population. [pdf]. International Journal of Cardiology 176 (2014) 211–218. Available at : http://www.internationaljournalofcardiology.com/article/S0167-5273(14)01258-3/pdf

7. Khosravi, A. Et al. 2012. The Relationship between Weight and CVD Risk Factors in a Sample Population from Central Iran (Based on IHHP). [pdfp]. ARYA Atherosclerosis Journal 2012, 8(2): 82-89. Available at : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3463990/

8. Lamon-Fava et al. 1996. Impact of Body Mass Index on Coronary Heart Disease Risk Factors in Men and Women. Arteriosclerosis, Thrombosis, and Vascular Biology.1996; 16: 1509-1515 http://atvb.ahajournals.org/content/16/12/1509.full

9. Widjaja et al. 2013. Metabolic syndrome and Framingham risk score in obese young adults. Med J Indones. 2013;22:100-6. Available at : http://mji.ui.ac.id/journal/index.php/mji/article/view/536

10. Saad & Abdel-Latif. 2016. Association between Obesity and Coronary Heart Disease Risk among Saudi Subjects at Madinah Region. [pdf]. British Journal of Pharmaceutical Research 12(3): 1-8, 2016. Available at : www.sciencedomain.org/download/MTUxMThAQHBm.pdf

11. Hussein AH, et al. 2014. Assessment of Coronary Heart Disease Risk Factors and Relation to Nutritional State. [pdf]. Journal of Babylon University/Pure and Applied Sciences/ No.(6)/ Vol.(22): 2014. Available at : www.iasj.net/iasj?func=fulltext&aId=91794

12. Park YS dan Kim JS. 2011. Obesity Phenotype and Coronary Heart Disease Risk as Estimated by the Framingham Risk Score. [pdf]. J Korean Med Sci 2012; 27: 243 –249. Available at : www.ncbi.nlm.nih.gov

13. Patidar OP. 2013. Higher Prevalence Rate of CHD in ‘Apple Type of Obesity’ Cases as Compared to ‘Pear Type Obesity’ Cases. [pdf]. Indian Journal of Clinical Practice, Vol. 23, No. 12, May 2013. Available at : medind.nic.in/iaa/t13/i5/iaat13i5p791.pdf

14. Rabkin SW, Mathewson FA, Hsu PH. 1977. Relation of body weight to development of ischemic heart disease in a cohort of young North American men after a 26 year observation period: the Manitoba Study. [pdf]. Am J Cardiol. 1977 Mar;39(3):452-8. Available at : https://www.ncbi.nlm.nih.gov/pubmed/842466

15. Weidner P. 2000. Why Do Men Get More Heart Disease Than Women? An International Perspective. [pdf]. Journal of American College Health, 48:6, 291-294. Available at : https://www.ncbi.nlm.nih.gov/pubmed/10863872

16. Jousilahti P, et al. 1999. Sex, Age, Cardiovascular Risk Factors, and Coronary Heart Disease : A Prospective Follow-Up Study of 14 786 Middle-Aged Men and Women in Finland. [pdf]. Circulation. 1999;99:1165-1172. Available at : circ.ahajournals.org/content/circulationaha

17. Ali KM, et al. 2012. Cardiovascular disease risk reduction by raising HDL cholesterol – current therapies and future opportunities. [pdf. British Journal of Pharmacology (2012) 167 1177–1194. Available at : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504986/pdf/bph0167-1177.pdf

18. Park HA, et al. 2005. Age, Menopause, and Cardiovascular Risk Factors Among Korean Middle-Aged Women: The 2005 Korea National Health and Nutrition Examination Survey. [pdf]. Journal Of Women’s Health Volume 19, Number 5, 2010. Available at : https://www.ncbi.nlm.nih.gov/pubmed/20350203

19. Kim HJ, et al. 2011. Gender Difference in the Level of HDL Cholesterol in Korean Adults. [pdf]. Korean J Fam Med Vol. 32, No. 3 Mar 2011. Available at : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3383129/pdf/kjfm-32-173.pdf

20. Romero-Corral, et al. 2008. Accuracy of Body Mass Index to Diagnose Obesity In the US Adult Population. . [pdf]. Int J Obes (Lond). 2008 June ; 32(6): 959–966. Available at : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2877506/pdf/nihms152315.pdf

21. Yusuf S, et al. 2005. Obesity and the risk of myocardial infarction in 27000 participants from 52 countries: a case-control study. [pdf]. Lancet 2005; 366: 1640–49Lancet 2005; 366: 1640–49. Available at : https://www.ncbi.nlm.nih.gov/pubmed/16271645

22. Franzosi MG. 2006. Should we continue to use BMI as a cardiovascular risk factor?. [pdf]. Vol 368 August 19, 2006. Available at : www.thelancet.com

23. Frankenfield DC, et al. 2001. Limits of Body Mass Index to Detect Obesity and Predict Body Composition. [pdf]. Nutrition 17:26 –30, 2001. Available at : https://www.ncbi.nlm.nih.gov/pubmed/11165884

24. Hu FB, et al. 2000. Body Mass Index and Cardiovascular Risk Factors in a Rural Chinese Population. [pdf]. American Journal of Epidemiology Vo. 151, No. 1, 2000.

Published

2018-12-14

How to Cite

Rosati, I., Indrayana, Y., & Sari, D. P. (2018). KORELASI ANTARA INDEKS MASSA TUBUH (IMT) DENGAN RISIKO PENYAKIT KARDIOVASKULER MENGGUNAKAN SKOR RISIKO FRAMINGHAM PADA POPULASI DI KOTA MATARAM. Jurnal Kedokteran, 6(3.1). https://doi.org/10.29303/jku.v6i3.1.288

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Section

Research

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