Factors Predicting Preventive Behaviors of Diabetes and Hypertension Among People in Community
Article Sidebar
Main Article Content
Abstract
This predictive research aimed to examine preventive behavior levels and factors predicting preventive behaviors of diabetes and hypertension among people in community. Ecological system theory was used as conceptual framework of the study. The samples were 194 healthy people’ aged 35 years old and over who lived in communities at Taswang Sub-district, Naimuang District, Surin Province. Samples were selected using simple random sampling. Data were collected by interview from the questionnaire. Data were analyzed using descriptive statistics. multiple regression analysis was used to determine factors predicting behaviors of diabetes and hypertension.
Results showed that 52.1 percent of samples had preventive behaviors at high level. Factors related to preventive behaviors of diabetes and hypertension were knowledge about diabetes and hypertension, social support from relative/neighborhood, health promotion policy perception, perceived of setting, and health promotion devices. Results of multiple regression showed that health promotion policy perception, perceived of setting and health promotion devices, together with knowledge and social support from relative/ neighborhood could explain 21 percent of the variance of preventive behaviors of diabetes and hypertension of people in community. (R2 = .21, F(4,189) = 13.07, p < .001) The results suggest that nurses should providehealth care for people in community by integrating social support, promotion policy perception, place and equipment of health promotion perception into health education for continuous health care behavior.
Article Details
References
2. Srivanichakorn S. Morbidity and mortality situation of non-communicable diseases (diabetes type 2 and cardiovascular diseases) in Thailand during 2010-2014. Disease Control Journal. 2017; 43(4): 379-390. Thai.
3. Institute of Medical Research and Technology Assessment. Diabetes mellitus/hypertension situation and complication in Thailand [internet]. Bangkok: Ministry of Public Health; 2018 [cited 2018 Dec 12]. Available from: http://203.157.39.7/imrta/images/data/doc_dm_ht.pdf
4. Surin Province Statistical Office. Provincial statistic report: 2012. Surin: Sor Panpen; 2012.Thai.
5. Bronfenbrenner U. Making human beings human bioecological perspectives on human development. United States of America: Sage; 2005.
6. Khotchakhote J, Jirapongsuwan A, Kerdmongkol P, et al. Atherosclerosis prevention behavior among kasikorn Bank employees in Bangkok. Kuakarun Journal of Nursing. 2012; 19(1): 71-86. Thai.
7. Petsuwan A. Health behavior of people coping with high blood pressure and diabetes : a case study of medical service users at the Health Center in Nong Chik District, Pattani Province [dissertation]. [Bangkok]: NationalInstitute of Development Adminitration; 2009. 117 p.
8. Dheengarm B, Tiautchasuwan Y, Boromtanarat C. Factors affecting the practice in prevention of diabetes and hypertension of population at risk group in the responsible area of Ban Phon Muang Health Center, Chumphonburi District, Surin Province. Oral session presented at: The 2nd STOU Graduate Research Conference; 2012 Sep 4-5; Bangkok.
9. Seerasungnern S, Seerasungnern D, Shurmark S. Health behavior modification according to 3 principles of self-sufficiency by local wisdom case study: Nong Chai Si Sub-district Nong Hong District Buriram province [internet]. Buriram: Buriram Province Statistical office;2018 [cited 2018 Dec 12]. Available from: http://www.bro.moph.go.th/nonghong/nonghong/ pdf/Pattanayut/R2R_2555.
10. Aroonpong C, Siriboon A. Factors associated with behavior for prevention of diabetes and hypertention in a general population in Muang Sam Sip, Ubon Ratchathani Province. Oral session presented at: The3rd National Conference . 2018 May 25; Ubonratchathani.
11. Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analysis using G*Power 3.1: test for correlation and regression analyses. Behavior Research Medthod. 2009; 41(4):1149-1160.
12. Chaimay B. Sample size determination indescriptive study in public health. Thaksin J. 2013; 16(2): 9-18. Thai.
13. Prombutr P. Factors related to stress of family caregiver of patients with stroke at home [dissertation]. [Bangkok]: Mahidol University; 2013. 145p.
14. Lynn M. Determination and quantification of content validity. Nursing Research. 1986; 35(6): 382-5. https://doi.org/10.1097/00006199-198611000-00017
15. Pisaiphan A, Pattaraarchachai J, Viwatpanich K. Association of factors with health behaviors in Thai adults. Thammasat Medical Journal. 2013; 13(3): 352-360. Thai.
16. Suapumee N. The relationship betweenpersonal factors, knowledge and lung tuberculosis preventive behaviors of people in Suankleau Sub District, Banpong District, Ratchaburi Province, Thailand. Nursing Journal of the Ministry of Public Health. 2013; 23(2): 79-93. Thai.
17. Dechpan M, Sanguimjit P. Factors Influencing diabetes prevention behaviors of diabetes risk Groups Ubon Ratchathani. Journal graduate school, Pitchayatat. 2012; 7(1): 84-93. Thai.
18. Suphun B, Shuaytong P, Tansakoon S. et al.Factors related to preventive behavior on dengue hemorrhagic fever among people in Sisaket Province. Oral session presented at: National Symposium for Sustainable Research Development; 2012 December 25-26; Bangkok.
19. Aree-Ue S, Petlamul M. Osteoporosis knowledge, health beliefs, and preventive behavior: A comparison between younger and older women living in a rural area. Health Care for Women International. 2013; 34:
1051-1066.
20. Onsrinoi N, Neelukkanaveera Y, Toonsiri C. Predictive factors of hypertension preventive behaviors among people with pre-hypertension.Songklanagarind J Nurs. 2017; 31(1): 63-74.Thai.
21. Siripitayakunkit A. Social support: An important factor to care for persons with diabetes mellitus. Ramathibodi Nursing Journal. 2010; 16(2): 309-322. Thai.
22. Sirikangwankun W, Thato R, Polsook R. Factors predicting preventive behaviors for coronary artery disease among the Royal Thai Army Personnel. JNSCU. 2017; 29(2): 99-111. Thai.