Factors Related to Health Promoting Behaviors for Cardiovascular Disease Prevention among Diabetes with Hypertension Patients in Muang District, Chachoengsao Province
Keywords:
health promoting behaviors, cardiovascular disease prevention, perceive benefits, perceive self-efficacy, perceived barriers, diabetes, hypertensionAbstract
This descriptive study aimed to assess factors related to health promoting behaviors for cardiovascular disease (CVD) prevention among diabetes with hypertension (DM with HTN) patients in Muang District, Chachoengsao province. Ninety-five DM with HTN patients were recruited using two-stage random sampling technique. A set of questionnaires was used including: (1) Personal data record form and health data; (2) questionnaire of health promoting behaviors for CVD prevention among DM with HTN patients with reliability of 0.79; and (3) questionnaire of factors related to health promoting behaviors for CVD prevention among DM with HTN patients with reliability of 0.70. Data were analyzed using descriptive statistics, one-way ANOVA, and the Pearson’s Product Moment Correlation Coefficient. The results revealed that sample reported a good level of health promoting behavior for CVD prevention (Mean = 3.21, SD = 0.38). There was not significantly different between participants with different CVD risk on health promoting behaviors for CVD prevention (F = 0.575, p = .633). The perceive benefits and self-efficacy of CVD promoting behaviors for prevention was significantly positively correlated to promoting behaviors for CVD prevention among DM with HTN patients (r = .402, p <.001 and, r = .617, p <.001, respectively). The perceived barriers to health promoting behavior of CVD prevention is significantly negatively correlated to promoting behaviors for CVD prevention among DM with HTN patients (r = -.530, p <.001).
The results of can be used to develop programs on CVD health promoting for DM with HTN patients. Our finding suggested that we should increase the perception
of the benefits and self-efficacy of cardiovascular disease health promoting and reduce the perception of the barriers.
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References
2. WHO. Noncommunicable diseases country profiles 2018. 1st ed. Geneva: World Health Organization;2018.
3. Liangchawengwong S. Lifestyle-Related Cardiovascular Risk FactorsAmong Thai University Studentswere Crisis?. Journal of Science and Technology. 2013;21(7):668-76. (in Thai).
4. Shah A, Afzal M. Prevalence of diabetes and hypertension and association with various risk factors among different Muslim populations of Manipur, India. Journal of Diabetes & Metabolic Disorders 2013;12(52):1-10.
5. Ekphalakorn W. The survey of the Thai public health by the 5th physical examination 2014. 1st ed.Bangkok: Graphic and Design Publishing House; 2014. (in Thai).
6. Petrie JR, Guzik TJ, Touyz RM. Diabetes, Hypertension, and Cardiovascular Disease: Clinical Insightsand Vascular Mechanisms. Can J Cardiol 2018;34(5):575–84.
7. Walker SN, Sechrist KR, Pender NJ. Health Promotion Model - Instruments to Measure Health Promoting Lifestyle : Health-Promoting Lifestyle Profile [HPLP II] (Adult Version) [Internet]. 1995.[cited 2018 Oct 4]. Available from http://hdl.handle.net/2027.42/85349
8. AHA. Understand Your Risks to Prevent a Heart Attack [Internet]. 2016. [cited 2018 Sep 10]. Available from https://www.heart.org/en/health-topics/heart-attack/understand-your-risks-to-preventa-heart-attack#.WxUQ60iFOM8
9. Ghazali SM, Seman Z, Cheong KC, Hock LK, Manickam M, Kuay LK, et al. Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults. BMC Public Health 2015;15(68):7-8.
10. Sinsap N, Jankra J, Jaiman B. Hypertension in Elderly: Silence Killer Should be Aware. Journal of Phrapokklao Nursing College 2017;26(1):100-11. (in Thai).
11. Pender N.J, Murdaugh CL, Parsons MA. Health Promotion in Nursing Practice. 7th. USA: Pearson Education Inc; 2015.
12. Suthisant S, Chongphaiboonphatana W. Factors influencing health promoting behaviors amongprofessional nurses in nursing service division, government university hospitals[Internet]. 2009.[cited 2018 Sep 14]. Available from http://kb.psu.ac.th/psukb/handle/2010/8656
13. Phumankian S. The relationship between perceived benefit of action, perceived self-efficacy, and health promotion behaviors of elderly with coronary artery disease in heart clinic of kalasin hospital, kalasin province [master's degree]. [Chonburi]: Burapha University; 2013. (in Thai).
14. Thimoonnee M, Preechawong S. Factors Related to Preventive Behaviors For Cardiovascular Disease in Premenopausal Cleaning Personnel. Kuakarun Journal of Nursing 2016;23(1):118-32. (in Thai).
15. Thanakwang K, Kespichayawattana J, Jitpanya C. Factors related to health promotion behaviors among older persons: a meta-analysis. Journal of Nursing Science 2010;28(3): 60-68. (in Thai).
16. Muang Chachoengsao District Health Service Network. Health Strategy Plan for the fiscal year 2017-2021 (Mueang Chachoengsao Health System) Health Network District, Chachoengsao District, Fiscal Year 2018. Chachoengsao; Health Network Chachoengsao District: 2018. (in Thai).
17. Bureau of Non-Communicable Diseases Department of Disease Control. Assessment of risk factors for cardiovascular disease in patients with diabetes and hypertension. 1st ed. Bangkok: The Agricultural Cooperative Assembly of Thailand Printing Company Limited; 2015. (in Thai).
18. Sathokkit P. Tools to assess the risk of heart disease and stroke. [Internet]. 2016. [cited 2018 Sep 12]. Available from http://www.thaincd.com/document/file/download/powerpoint/3.Evolution Tools A.Priny CVD.pdf
19. Sirikangwankun W, Thato R, Polsook R. Factors Predicting Preventive Behaviors for Coronary Artery Disease among the Royal Thai Army Personnel. Journal of Nursing Science Chulalongkorn University 2017;29(2):99-111. (in Thai).
20. Sutthipatthanangkoon C, Thato R. Factors predicting preventive behaviors for coronary artery disease among autonomous university staff in Bangkok. Thai Journal of Cardio-Thoracic Nursing 2017;28(2):111-25. (in Thai).
21. Bureau of Non-Communicable Diseases Department of Disease Control. Survey of risk factors for non-communicable diseases and injuries. 1st ed. Nonthaburi: Department of Disease Control, Ministry of Public Health; 2010. (in Thai).
22. Ashwell M, Gunn P, Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: Systematic review and meta-analysis. Obesity Reviews 2012;13(3):275-86.
23. Health Education Division, Department of Health Service Support. Health behavior surveillance system to change the risk behavior of norma /risk groups /diabetes, hypertension in Thailand: policies to practice for primary health care facilities.1st ed. Bangkok: Department of Health Service Support Ministry of Public Health; 2013. (in Thai).
24. Eriksen A, Tillin T, O’Connor L, Brage S, Hughes A, Mayet J, et al. The Impact of Health Behaviors on Incident Cardiovascular Disease in Europeans and South Asians – A Prospective Analysis in the UK SABRE Study. PLoS ONE 2015;10(3):1-15.
25. Chumpathat N, Kangchai W, Rattanajarana S. Factors Related to Preventive Behaviors Regarding Coronary Artery Disease among Elderly with Metabolic Syndrome. HCU Journal of Health Science 2018;22(43-44):114-29. (in Thai).
26. Carpenter CJ. A meta-analysis of effectiveness of health belief model variables in predicting behavior. Health Communication 2010;25(8):661-69.
27. Joychoo N, Pinyopasakul W, Chareonkitkarn V. Relationships among age, perceived benefits of health behaviors, perceived barriers of health behaviors and health behaviors in patients with ischemic stroke. Ramathibodi Nurs J 2014;20(2):236-48. (in Thai).
28. Jianvitayakit S, Panpakdee O, Malathum P, Duff. Factors Influencing Smoking Cessation Behavior among Thai Male Smokers with Hypertension. Pacific Rim International Journal of nursing Research 2014;18(2):100-10.
29. Lo SW, Chair SY, Lee FK. Factors associated with health-promoting behavior of people with or at high risk of metabolic syndrome: Based on the health belief model. Applied Nursing Research 2015;28(2):197-201.
30. Horwood H, Williams MJ, Mandic S. Examining motivations and barriers for attending maintenance community-based cardiac rehabilitation using the health-belief model. Heart, Lung and Circulation 2015;24(10):980-87.
31. Yue Z, Li C, Weilin Q, Bin W. Application of the health belief model to improve the understanding of antihypertensive medication adherence among Chinese patients. Patient Education and Counseling 2015;98(5):669-73.
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