Determining Factors of Stroke Preventive Behaviors among Risk Persons in Community, Thailand

Main Article Content

Amornrat Sangsaikaew
Khunphitha Junsevg
Arunrat Utaisang
Thisachon Thanyawarathorn
Ratsamee Thongsaman

Abstract

Introduction: Risk perception of stroke and appropriate health behaviors are determining factors of stroke prevention. This study was conducted to determine factors of stroke preventive behaviors in stroke risk groups. Materials and methods: This descriptive predictive research was conducted among 158 persons aged over 55 years, susceptible to stroke in 10 years 10% or higher. The subjects were drawn by the purposive sampling method. We collected data during September 2021-Febuary 2022, using questionnaires to explore personal characteristics, stoke knowledge test, stroke perception questionnaire, and preventive behavior assessment form. The data were analyzed by Chi-square and binary logistic regression analysis. Results: Factor determining healthy behaviors to reduce stroke risk included stroke knowledge, stroke perception, and presence of chronic diseases. There were 158 patient included in the present study, it was found that the samples are Knowledge about stroke was found to have influence over preventive behaviors against stroke among persons at risk in Nakhon Phanom with statistical significance at .01 with a coefficient increased by 0.48. One more point of knowledge about stroke among the persons at risk caused persons at risk to be 1.6 times more likely to have appropriate preventive behaviors against stroke (OR = 1.62; 95%CI = 1.301, 2.020). Finally, the dominant factor influencing stroke preventive behaviors is stroke knowledge. Conclusion: Therefore, interventions are necessary to increase stroke preventive behavior in risk groups by promoting stroke knowledge and awareness of stroke risks.

Downloads

Download data is not yet available.

Article Details

How to Cite
Sangsaikaew, A., Junsevg, K., Utaisang, A., Thanyawarathorn, T., & Thongsaman, R. (2025). Determining Factors of Stroke Preventive Behaviors among Risk Persons in Community, Thailand. Malaysian Journal of Medicine and Health Sciences, 21(5), 62–69. https://doi.org/10.47836/mjmhs.21.5.8
Section
Original Articles

References

Boehme AK, Esenwa C, Elkind MS. Stroke risk factors, genetics, and prevention. Circ Res. 2017;120(3):472–95. doi:10.1161/CIRCRESAHA.116.308398.

Kim J, Thayabaranathan T, Donnan GA, et al. Global stroke statistics 2019. Int J Stroke. 2020;15(8):819–38. doi:10.1177/1747493020909545.

Division of Non Communicable Diseases. Case-fatality rate/Prevalence rate of Non Communicable Diseases; 2020. Available from: [http://www.thaincd.com/2016/mission/documents-detail.php?id=13893&tid=32&gid=1-020](http://www.thaincd.com/2016/mission/documents-detail.php?id=13893&tid=32&gid=1-020). Accessed 11 July 2020.

Katan M, Luft A. Global burden of stroke. Semin Neurol. 2018;38(2):208–11. doi:10.1055/s-0038-1649503.

Dutta S, Singhal A, Suryan V, Chandra NC. Obesity: an impact with cardiovascular and cerebrovascular diseases. Indian J Clin Biochem. 2024;39(2):168–78. doi:10.1007/s12291-023-01157-w.

Lu Y, Liu S, Qiao Y, Li G, Wu Y, Ke C. Waist-to-height ratio, waist circumference, body mass index, and risk of cardiometabolic multimorbidity: a national longitudinal cohort study. Nutr Metab Cardiovasc Dis. 2021;31(9):2644–51. doi:10.1016/j.numecd.2021.05.026.

Shen S, Lu Y, Qi H, Li F, Shen Z, Wu L, et al. Waist-to-height ratio is an effective indicator for comprehensive cardiovascular health. Sci Rep. 2017;7(1):43046. doi:10.1038/srep43046.

Xu J, Xu T, Bu X, Peng H, Li H, Zhang M, et al. The predictive value of waist-to-height ratio for ischemic stroke in a population-based prospective cohort study among Mongolian men in China. PLoS One. 2014;9(10):e110245. doi:10.1371/journal.pone.0110245.

Kharbach A, Obtel M, Achbani A, et al. Level of knowledge on stroke and associated factors: a cross-sectional study at primary health care centers in Morocco. Ann Glob Health. 2020;86(1):83. doi:10.5334/aogh.2885.

Vutiso P, Lalun A. Factors influencing stroke prevention behavior in patients with chronic disease. J Thai Stroke Soc. 2022;21(3):5–18. Available from: [https://he01.tci-thaijo.org/index.php/jtss/article/view/251848](https://he01.tci-thaijo.org/index.php/jtss/article/view/251848).

Suttisrisin C. Factors affecting disease prevention behaviors in risk group for stroke at Chaloem Phra Kiat Hospital, Nakhonratchasima Province. DCP9 J. 2019;25(1):5–15. Available from: [https://he02.tci-thaijo.org/index.php/ODPC9/article/view/187092](https://he02.tci-thaijo.org/index.php/ODPC9/article/view/187092).

Jittanoon P, Buapetch A, Saksorngmuang P, et al. Cerebrovascular knowledge and preventive behaviors of cerebrovascular risk group: A case study of Huinang Sub-district, Trang Province. JRN-MHS. 2021;41(2):13–25. Available from: [https://he02.tci-thaijo.org/index.php/nur-psu/article/view/242914](https://he02.tci-thaijo.org/index.php/nur-psu/article/view/242914).

Upoyo AS, Isworo A, Sari Y, et al. Determinant factors of stroke prevention behavior among hypertension patients in Indonesia. Open Access Maced J Med Sci. 2021;9(E):336–9. doi:10.3889/oamjms.2021.6040.

Wan LH, Zhao J, Zhang XP, et al. Stroke prevention knowledge and prestroke health behaviors among hypertensive stroke patients in mainland China. J Cardiovasc Nurs. 2014;29(2):E1–E9. doi:10.1097/JCN.0b013e31827f0ab5.

Prachuablarp C, Wattradul D. Predicting factors of preventive behaviors of coronary heart disease and stroke among menopausal women. Thai J Cardio-Thorac Nurs. 2020;31(1):27–45. Available from: [https://he02.tci-thaijo.org/index.php/journalthaicvtnurse/article/view/243978](https://he02.tci-thaijo.org/index.php/journalthaicvtnurse/article/view/243978).

Cheumnok W, Khampolsiri T, Tamdee D. Health beliefs and health behaviors among Phu Tai and Thai Isan older persons with hypertension. Nurs J CMU. 2017;44(Suppl 1):57–68. Available from: [https://he02.tci-thaijo.org/index.php/cmunursing/article/view/148035](https://he02.tci-thaijo.org/index.php/cmunursing/article/view/148035).

Nakhon Phanom Provincial Health Office. Thai CV risk score report; 2021. Available from: [http://203.157.176.15/chronic/rep_thaicvdriskscreen.php](http://203.157.176.15/chronic/rep_thaicvdriskscreen.php). Accessed 11 July 2020.

Breckler SW. Attitude structure and function. New York: L. Erlbaum Associates; 1986.

Burns N, Grove SK. The practice of nursing research: appraisal, synthesis, and generation of evidence. 8th ed. Missouri: Saunders Elsevier; 2017.

Noh JH, Shin YH. Probability of stroke, knowledge of stroke, and health-promoting lifestyle in stroke risk groups. J Korean Acad Fundam Nurs. 2014;21(2):174–82. doi:10.7739/jkafn.2014.21.2.174.

Mahidol University. Faculty of Medicine Ramathibodi Hospital. Thai CV risk scores; 2015. Available from: [https://med.mahidol.ac.th/cardio_vascular_risk/thai_cv_risk_score/](https://med.mahidol.ac.th/cardio_vascular_risk/thai_cv_risk_score/). Accessed 11 July 2020.

Pragodpol P, Intana J. The effect of the stroke warning signs program on stroke awareness, knowledge, and practice to decrease the stroke risk in hypertensive patients. JPNC. 2019;30(2):88–100. Available from: [https://he01.tci-thaijo.org/index.php/pnc/article/view/170080](https://he01.tci-thaijo.org/index.php/pnc/article/view/170080).

O’Donnell M, Chin S, Rangarajan S, et al. INTERSTROKE investigators. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study. Lancet. 2016;388(10046):761–75. doi:10.1016/S0140-6736(16)30506-2.

Choi JR, Koh SB, Choi E. Waist-to-height ratio index for predicting incidences of hypertension: the ARIRANG study. BMC Public Health. 2018;18(1):1–6. doi:10.1186/s12889-018-5662-8.

Ashwell M, Gibson S. Waist-to-height ratio as an indicator of ‘early health risk’: simpler and more predictive than using a ‘matrix’ based on BMI and waist circumference. BMJ Open. 2016;6(3):e010159. doi:10.1136/bmjopen-2015-010159.

Hickey A, O'Hanlon A, McGee H, et al. Stroke awareness in the general population: knowledge of stroke risk factors and warning signs in older adults. BMC Geriatr. 2009;9(1):35. doi:10.1186/1471-2318-9-35.

Go E. Factors influencing stroke prevention behaviour in middle-aged adults. J Korean Biol Nurs Sci. 2022;22(4):297–307. doi:10.7586/jkbns.2020.22.4.297.

Pothiban L, Khampolsiri T, Srirat C. Knowledge and awareness of stroke impacts among northern Thai population. PRIJNR. 2018;22(3):212–22. Available from: [https://he02.tci-thaijo.org/index.php/PRIJNR/article/view/79600](https://he02.tci-thaijo.org/index.php/PRIJNR/article/view/79600).

Gomes AB, Henrique Jr M, Schoeps VA, Santos MMSA, Pellegrinelli A, de Matos BP, et al. Popular stroke knowledge in Brazil: A multicenter survey during “World Stroke Day.” eNeurologicalSci. 2017;6:63–7. doi:10.1016/j.ensci.2016.12.002.

Kaddumukasa M, Kayima J, Kaddumukasa MN, et al. Knowledge, attitudes and perceptions of stroke: a cross-sectional survey in rural and urban Uganda. BMC Res Notes. 2015;8:819. doi:10.1186/s13104-015-1820-6.

Pseungnoen A, Suwonroop N, Pinyopasakul W. Factors predicting stroke prevention behaviors in patients at risk in primary care units. J Boromarajonani Coll Nurs Nakhonratchasima. 2018;24(1):40–56. Available from: [https://he02.tci-thaijo.org/index.php/Jolbcnm/article/view/131722](https://he02.tci-thaijo.org/index.php/Jolbcnm/article/view/131722).

Sangsaikaew A, Pilayon B, Junsevg K, et al. Factors influencing self-care behavior in older persons with hypertension. Int J Nurs Educ. 2021;13(1):1–7. doi:10.37506/ijone.v13i1.13309.

Toebsoongnoen S, Kuhirunyaratn P. Perception level toward stroke signs among hypertension patients of Botong Sub-District Health, Pakchong District, Nakhon Ratchasima Province. SRIMEDJ. 2017;32(5):482–90. Available from: [https://li01.tci-thaijo.org/index.php/SRIMEDJ/article/view/101971](https://li01.tci-thaijo.org/index.php/SRIMEDJ/article/view/101971).

Thonglong T. Sources of stress and stress management behavior of middle-age people in the rural in Ubon Ratchathani Province. Thaksin J. 2018;21(1):89–95. Available from: [https://ph02.tci-thaijo.org/index.php/tsujournal/article/view/127147/95988](https://ph02.tci-thaijo.org/index.php/tsujournal/article/view/127147/95988).