ปัจจัยทำนายการรับรู้โอกาสเสี่ยงต่อการเกิดโรคหลอดเลือดหัวใจ
คำสำคัญ:
การรับรู้โอกาสเสี่ยง, ความเสี่ยงการเกิดโรคหลอดเลือดหัวใจ, โรคหลอดเลือดหัวใจ, คะแนนความเสี่ยงบทคัดย่อ
The descriptive predictive research aims to investigate the association between perceived susceptibility and
risk of developing coronary artery disease (CAD) and factors associated with perceived CAD susceptibility. The study participants were 290 adults who were at least 35 years old, living in Kuchinarai district. Data were collected through the questionnaire administration. The CAD risk was calculated using the RAMA EGAT Heart Score. Descriptive statistics and stepwise multiple regression were used for data analysis.
Results demonstrated that 52.10% of the study sample perceived CAD susceptibility at a low level, whereas
24.50% and 23.40% perceived susceptibility at moderate and high levels, respectively. Additionally, the results showed that 35.90% of the study sample had moderate CAD risk, 26.90% had very high risk, and 16.60% had low risk. Factors found to be associated with perceived CAD susceptibility included age, body weight, income, RAMA EGAT Heart Score risk, and insomnia, which predicted 38.48 percent of perceived CAD susceptibility (F = 15.51, p-value < .001). Perceived CAD susceptibility had a -2.55 association with CAD risk (p-value < .001). Consequently, this study supports that promotion of perceived CAD susceptibility by considering differences in age, body weight, income, RAMA EGAT Heart Score risk, and insomnia.
References
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[9] Faculty of Medicine Ramathibodi Hospital Mahidol University .RAMA-EGAT Heart Score .(n.d.). Retrieved September 15, 2020, from https://med.mahidol.ac.th/cvmc/th/event/ramaegatheartscore
[10] Khanjani, N., Rastad, H., Saber, M., Kalantari Khandani, B., & Tavakkoli, L. (2018). Causes of Delay in Seeking Treatment in Iranian Patients with Breast Cancer Based on the Health Belief Model (HBM). International Journal of Cancer Management; Kowsar.
[11] Sullivan, M. D., Ciechanowski, P. S., Russo, J. E., Soine, L. A., Jordan-Keith, K., Ting, H. H., & Caldwell, J. H. (2009). Understanding why patients delay seeking care for acute coronary syndromes. Circulation. Cardiovascular Quality and Outcomes, 2(3), 148–154.
[12] Kanbuala,W., Samartkit, N., & Keeratiyutawong, P., (2015).FACTORS RELATED TO DECISION TIME FOR SEEKING TREATMENT IN PATIENTS WITH MYOCARDIAL INFARCTION. Nursing Journal of The Ministry of Public Health, 24(2), 21-36.
[13] Asnar, Y & Zannone, N. (2008). Perceived Risk Assessment. Proceedings of the ACM Conference on Computer and Communications Security. 59-64.
[14] FERRER, R, & KLEIN, WM. (2015). RISK PERCEPTIONS AND HEALTH BEHAVIOR. CURRENT OPINION IN PSYCHOLOGY, 5, 85–89.
[15] Hsieh, F. Y., Bloch, D., & Larsen, M. (1998). A Simple Method of Sample Size Calculation for Linear and Logistic Regression. Statistics in Medicine, 17, 1623–1634.
[16] Burn, N., & Grove, S. K. (2009). The practice of nursing research: Appraisal, synthesis, and generation of evidence. (6th ed.). St. Louis, MO: Sauders Elsevier.
[17] Park, D. C., & Yeo, S. G. (2013). Aging. Korean Journal of Audiology, 17(2), 39–44.
[18] Chopik, W. J., Bremner, R. H., Johnson, D. J., & Giasson, H. L. (2018). Age Differences in Age Perceptions and Developmental Transitions. Frontiers in Psychology, 9.
[19] Otani, H., Leonard, S. D., Ashford, V. L., Bushroe, M., & Reeder, G. (1992). Age differences in perception of risk. Perceptual and Motor Skills, 74(2), 587–594.
[20] Christian, A. H., Mochari, H. Y., & Mosca, L. J. (2005). Coronary heart disease in ethnically diverse women: Risk perception and communication. Mayo Clinic Proceedings, 80(12), 1593–1599.
[21] Barnhart, J. M., Wright, N. D., Freeman, K., Silagy, F., Correa, N., & Walker, E. A. (2009). Risk perception and its association with cardiac risk and health behaviors among urban minority adults: The Bronx Coronary Risk Perception study. American Journal of Health Promotion: AJHP, 23(5), 339–342.
[22] Garces-Palacio, I. C., & Scarinci, I. C. (2012). Factors associated with perceived susceptibility to cervical cancer among Latina immigrants in Alabama. Maternal and Child Health Journal, 16(1), 242–248.
[23] Moore, S. E., Harris, C., & Wimberly, Y. (2010). Perception of Weight and Threat to Health. Journal of the National Medical Association, 102(2), 119–124.
[24] Langenberg, C., Shipley, M. J., Batty, G. D., & Marmot, M. G. (2005). Adult socioeconomic position and the association between height and coronary heart disease mortality: Findings from 33 years of follow-up in the Whitehall Study. American Journal of Public Health, 95(4), 628–632.
[25] Mohd Azahar, N. M. Z., Krishnapillai, A. D. S., Zaini, N. H., & Yusoff, K. (2017). Risk perception of cardiovascular diseases among individuals with hypertension in rural Malaysia. Heart Asia, 9(2).
[26] Alwan, H., William, J., Viswanathan, B., Paccaud, F., & Bovet, P. (2009). Perception of cardiovascular risk and comparison with actual cardiovascular risk. European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology, 16, 556–561.
[27] Ghosh-Swaby, O. R., & Kuriya, B. (2019). Awareness and perceived risk of cardiovascular disease among individuals living with rheumatoid arthritis is low: Results of a systematic literature review. Arthritis Research & Therapy, 21(1), 33.
[28] Petr, E. J., Ayers, C. R., Pandey, A., Lemos, J. A. de, Powell-Wiley, T. M., Khera, A., Lloyd-Jones, D. M., & Berry, J. D. (2014). Perceived Lifetime Risk for Cardiovascular Disease (from the Dallas Heart Study). American Journal of Cardiology, 114(1), 53–58.
[2] Rosell-Ortiz, F., Mellado-Vergel, F. J., Fernández-Valle, P., González-Lobato, I., Martínez-Lara, M., Ruiz-Montero, M. M., … García del Águila, J. (2015). Initial complications and factors related to prehospital mortality in acute myocardial infarction with ST segment elevation. Emergency Medicine Journal: EMJ, 32(7), 559–563.
[3] Asaria, P., Elliott, P., Douglass, M., Obermeyer, Z., Soljak, M., Majeed, A., & Ezzati, M. (2017). Acute myocardial infarction hospital admissions and deaths in England: A national follow-back and follow-forward record-linkage study. The Lancet Public Health, 2(4), e191–e201.
[4] Karam Nicole, Bataille Sophie, Marijon Eloi, Tafflet Muriel, Benamer Hakim, Caussin Christophe, … null null. (2019). Incidence, Mortality, and Outcome-Predictors of Sudden Cardiac Arrest Complicating Myocardial Infarction Prior to Hospital Admission. Circulation: Cardiovascular Interventions, 12(1), e007081.
[5] ระพินทร์ กุกเรยา. (n.d.). กล้ามเนื้อหัวใจขาดเลือดเฉียบพลัน รีบรักษาทัน โอกาสรอดสูง. Bangkok Heart Hospital. Retrieved September 26, 2020, from https://www.bangkokhearthospital.com/content/heart-attack-early-diagnosis-and-treatment-can-save-your-life
[6] Rosenstock, I. M. (1974). The health belief model and preventive health behavior. In M. H. Becker(Ed), The health belief model and personal behavior(pp. 27-59). New Jersey: Charles B. Slack
[7] Waller, C. G. (2006). Understanding prehospital delay behavior in acute myocardial infarction in women. Critical Pathways in Cardiology, 5(4), 228–234.
[8] Ghazawy, E. R., Seedhom, A. E., & Mahfouz, E. M. (2015). Predictors of Delay in Seeking Health Care among Myocardial Infarction Patients, Minia District, Egypt. Advances in Preventive Medicine, 2015.
[9] Faculty of Medicine Ramathibodi Hospital Mahidol University .RAMA-EGAT Heart Score .(n.d.). Retrieved September 15, 2020, from https://med.mahidol.ac.th/cvmc/th/event/ramaegatheartscore
[10] Khanjani, N., Rastad, H., Saber, M., Kalantari Khandani, B., & Tavakkoli, L. (2018). Causes of Delay in Seeking Treatment in Iranian Patients with Breast Cancer Based on the Health Belief Model (HBM). International Journal of Cancer Management; Kowsar.
[11] Sullivan, M. D., Ciechanowski, P. S., Russo, J. E., Soine, L. A., Jordan-Keith, K., Ting, H. H., & Caldwell, J. H. (2009). Understanding why patients delay seeking care for acute coronary syndromes. Circulation. Cardiovascular Quality and Outcomes, 2(3), 148–154.
[12] Kanbuala,W., Samartkit, N., & Keeratiyutawong, P., (2015).FACTORS RELATED TO DECISION TIME FOR SEEKING TREATMENT IN PATIENTS WITH MYOCARDIAL INFARCTION. Nursing Journal of The Ministry of Public Health, 24(2), 21-36.
[13] Asnar, Y & Zannone, N. (2008). Perceived Risk Assessment. Proceedings of the ACM Conference on Computer and Communications Security. 59-64.
[14] FERRER, R, & KLEIN, WM. (2015). RISK PERCEPTIONS AND HEALTH BEHAVIOR. CURRENT OPINION IN PSYCHOLOGY, 5, 85–89.
[15] Hsieh, F. Y., Bloch, D., & Larsen, M. (1998). A Simple Method of Sample Size Calculation for Linear and Logistic Regression. Statistics in Medicine, 17, 1623–1634.
[16] Burn, N., & Grove, S. K. (2009). The practice of nursing research: Appraisal, synthesis, and generation of evidence. (6th ed.). St. Louis, MO: Sauders Elsevier.
[17] Park, D. C., & Yeo, S. G. (2013). Aging. Korean Journal of Audiology, 17(2), 39–44.
[18] Chopik, W. J., Bremner, R. H., Johnson, D. J., & Giasson, H. L. (2018). Age Differences in Age Perceptions and Developmental Transitions. Frontiers in Psychology, 9.
[19] Otani, H., Leonard, S. D., Ashford, V. L., Bushroe, M., & Reeder, G. (1992). Age differences in perception of risk. Perceptual and Motor Skills, 74(2), 587–594.
[20] Christian, A. H., Mochari, H. Y., & Mosca, L. J. (2005). Coronary heart disease in ethnically diverse women: Risk perception and communication. Mayo Clinic Proceedings, 80(12), 1593–1599.
[21] Barnhart, J. M., Wright, N. D., Freeman, K., Silagy, F., Correa, N., & Walker, E. A. (2009). Risk perception and its association with cardiac risk and health behaviors among urban minority adults: The Bronx Coronary Risk Perception study. American Journal of Health Promotion: AJHP, 23(5), 339–342.
[22] Garces-Palacio, I. C., & Scarinci, I. C. (2012). Factors associated with perceived susceptibility to cervical cancer among Latina immigrants in Alabama. Maternal and Child Health Journal, 16(1), 242–248.
[23] Moore, S. E., Harris, C., & Wimberly, Y. (2010). Perception of Weight and Threat to Health. Journal of the National Medical Association, 102(2), 119–124.
[24] Langenberg, C., Shipley, M. J., Batty, G. D., & Marmot, M. G. (2005). Adult socioeconomic position and the association between height and coronary heart disease mortality: Findings from 33 years of follow-up in the Whitehall Study. American Journal of Public Health, 95(4), 628–632.
[25] Mohd Azahar, N. M. Z., Krishnapillai, A. D. S., Zaini, N. H., & Yusoff, K. (2017). Risk perception of cardiovascular diseases among individuals with hypertension in rural Malaysia. Heart Asia, 9(2).
[26] Alwan, H., William, J., Viswanathan, B., Paccaud, F., & Bovet, P. (2009). Perception of cardiovascular risk and comparison with actual cardiovascular risk. European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology, 16, 556–561.
[27] Ghosh-Swaby, O. R., & Kuriya, B. (2019). Awareness and perceived risk of cardiovascular disease among individuals living with rheumatoid arthritis is low: Results of a systematic literature review. Arthritis Research & Therapy, 21(1), 33.
[28] Petr, E. J., Ayers, C. R., Pandey, A., Lemos, J. A. de, Powell-Wiley, T. M., Khera, A., Lloyd-Jones, D. M., & Berry, J. D. (2014). Perceived Lifetime Risk for Cardiovascular Disease (from the Dallas Heart Study). American Journal of Cardiology, 114(1), 53–58.
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2020-12-29
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