Factors Predicting to Dengue Fever Prevention and Control Behaviors of People in Pak Thok Subdistrict, Mueang District, Phitsanulok Province

Authors

  • Kingkaew Samruayruen Faculty of Science and Technology, Pibulsongkram Rajabhat University
  • Nithipong Sribenchamas Faculty of Science and Technology, Pibulsongkram Rajabhat University

Keywords:

factors predicting, Dengue Fever, prevention and control behaviors

Abstract

This predictive research aimed to study the prevention and control behaviour of dengue fever and the predictive factors of dengue prevention and control behaviour of people in Pak Thok sub-district, Muang district, Phitsanulok province. The sample used in this study was 333 people who were selected by systematic random sampling technique. The research instruments used were tests and questionnaires. The content validity, reliability and difficulty were .67-1, .70-.94 and .60-.80 respectively. The data were analyzed by descriptive statistics, including frequency, percentage, mean and standard deviation and inferential statistics were stepwise multiple regression analysis. The research results found that the prevention and control behaviour of dengue fever of people in Pak Thok Subdistrict, Mueang District, Phitsanulok Province was moderate level. The adequacy of resources and personnel was the strongest predictor of the Prevention and control behaviour of dengue fever (β=.577), followed by knowledge of dengue fever (β=.223) and Attitude toward Dengue Fever Disease (β=.114). These three variables were able to predict the prevention and control behaviours of dengue fever by 38.80 percent with a statistical significance at the 0.05 level.

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Published

2022-04-26

How to Cite

Samruayruen ก. ., & Sribenchamas น. . (2022). Factors Predicting to Dengue Fever Prevention and Control Behaviors of People in Pak Thok Subdistrict, Mueang District, Phitsanulok Province. EAU Heritage Journal Science and Technology, 16(1), 78–88. Retrieved from https://he01.tci-thaijo.org/index.php/EAUHJSci/article/view/250881

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Section

Research Articles