THE CORRELATION OF WAIST HIP RATIO TO ISCHEMIC STROKE PROBABILITY OF POPULATION IN SEKARBELA MATARAM

Qisthinadia Hazhiyah Setiadi, Herpan Syafii Harahap, Yanna Indrayana
  MNJ, pp. 1-6  

Abstract


Background. Stroke is the third cause of death worldwide. Ischemic stroke is the most common type of stroke with high prevalence. Obesity is one of ischemic stroke risk factor, but its correlation with higher ischemic stroke risk remains unclear. Studies about correlation of waist hip ratio (WHR) and ischemic stroke risk is still contradictive.
Objective. This study was aimed to explore the correlation between WHR and ischemic stroke probability.
Methods. This was a descriptive analytic study using cross sectional design. The population of this study was resident in Sekarbela Mataram aged 55-84 years old. This study was conducted 63 participants. They were interviewed and received a measurement of WHR and ischemic stroke probability. The ischemic
stroke probability was assessed by using assessment of Framingham stroke risk score. Data were analyzed by using Pearson correlation.
Results. Among 63 participants, 51 (81%) were abdominal obesity and 12 (19%) were normal based on WHR measurement. Pearson correlation analysis showed that there was no correlation between WHR and ischemic stroke probability (p = 0,11).
Conclusion. There was no correlation between WHR and ischemic stroke probability of population in Sekarbela Mataram


Keywords


Abdominal obesity; WHR; Ischemic stroke

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References


Sitorus F, Ranakusuma TAS. Penyakit Serebrovaskular Serangan Otak-Brain Attack: Transient Ischemic Attacks (TIA) – Reversible Ischemic Neurologic Defisit (RIND) – Stroke, Dalam: Setiati S, Alwi I, Sudoyo AW, Simadibarata M, Setihayadi B, Syam AF. Ilmu Penyakit Dalam Jilid II. Edisi 4. Interna Publishing. Jakarta; 2014. h.1555-1566.

Badan Litbangkes. Riset Kesehatan Dasar. Jakarta: Badan Penelitian dan Pengembangan Kesehatan Kementrian Kesehatan RI; 2013.

Yousefzadeh G, Shokoohi M, Najafipour H, Mitra Shadkamfarokhi M. Applying the Framingham Risk Score for Prediction of Metabolic Syndrome: The Kerman Coronary Artery Disease Risk Study, Iran. ARYA Atheroscler; 2014.11(3):179-185.

Bosomworth NJ. Practical Use of the Framingham Risk Score in Primary Prevention. Canadian Family Physician; 2011.57: 417-23.

Wolf PA, D’Agostino RB, Belanger AJ, Kannel WB. Probability of Stroke: a Risk Profile from The Framingham Study. Stroke; 1991.22(3):311-18.

Hong KS, Bang OY, Kang DW, Yu KH, Bae HJ, Lee JS, et al. Stroke Statistic in Korea: Part I. Epidemiology and Risk Factors: A Report from the Korean Stroke Society and Clinical Research Center for Stroke. Journal of Stroke; 2013.15(1):2-20.

International Diabetes Federation. The IDF Consensus Worldwide Definition of the Metabolic Syndrome. Belgium: International Diabetes Federation; 2008.

World Health Organization. Obesity and Overweight. Geneva: World Health Organization; 2006.

Winter Y, Rohrmann S, Linseisen J, Lanczik O, Ringleh PA, heberband J, Black T. Contribution of Obesity and Abdominal Fat Mass to Risk of Stroke and Transient Ischemic Attacks. American Heart Association Journal; 2008.39:3145-51.

Su TT, Amiri M, Hairi FM, Thangiah N, Dahlui M, Majid HA. Body Composition Indices and Predicted Cardiovascular Disease Risk Profile among Urban Dwellers in Malaysia. Biomedical Research International. 2015; 2015(2015): 1-7.

Air EL, Kissela BM. Diabetes, the Metabolic Syndrome, and Ischemic Stroke. Diabetes and Ischemic Stroke; 2007.30(12):3131-40.

Flier JS, Flier EM. Biology of Obesity, In: Fauci AS, Braunwald E, Kasper DL, Hauser SL, Jameson JL, Longo DL, et al., editors. Harrison’s Principles of Internal Medicine. 17th edition. New York: Mc Graw Hill; 2008.p.462-68.

Lu M, Ye W, Adami HO, Weiderpass E. Prospective Study of Body Size and Risk for Stroke amongst Women Below Age 60. Journal of Internal Medicine;2006.260:442-50.

Hu G, Tuomilehto J, Silventoinen K, Sarti C, Mannisto S, Jousilahti P. Body Mass Index, Waist Circumference, and Waist Hip Ratio on the Risk of Total and Type-Spesific Stroke. JAMA International Medicine; 2007. 167(13):1420-27.

Samai AA and Martin-Schild S. Sex Differences in Predictors of Ischemic Stroke:Current Perspective. Vascular Health and Risk Management;2015.11:427-36.

Powers AC. Diabetes Mellitus, In: Fauci AS, Braunwald E, Kasper DL, Hauser SL, Jameson JL, Longo DL, et al, editors. Harrison’s Principles of Internal Medicine. 17th edition. New York: Mc Graw Hill; 2008.p.2275-85.

Schmiegelow MD, Hedlin H, Mackey RH, Martin LW, Vitolins MZ, Stefanick ML, et al. Race and Ethnicity, Obesity, Metabolic Health, and Risk of Cardiovascular Disease in Postmenopausal Women. Journal of the American Heart Association; 2015.1-14.

Li Z, Guo X, Liu Y, Zhang N, Chang Y, Chen Y, et al. Metabolism Rather than Obesity is Associated with Ischemic Stroke: A Cross Sectional Study in Rural Northeastern China. Springer Plus; 2016.5:1-8.


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