The Relationships between Personal Factors, Social Factors, and Health Literacy in Stroke Prevention among People at Risk of Stroke in Nonthaburi Province

Authors

  • ์Nichamon Lumrod Boromarajonani College of Nursing Nonthaburi, Faculty of Nursing, Praboromarajchanok Institute
  • Anekpong Hoikum Boromarajonani College of Nursing Nonthaburi, Faculty of Nursing, Praboromarajchanok Institute
  • Wadeerat Sriwongwan Boromarajonani College of Nursing Nonthaburi, Faculty of Nursing, Praboromarajchanok Institute
  • Sanay Klaibua Health Promotion Hospital Praibang, Bang Kyuai District, Nonthaburi Province
  • Tanawat Ruamsook Faculty of Nursing, Kasem Bundit University

Keywords:

People at Risk of Stroke, Health Literacy, Prevention of Stroke

Abstract

The objective of this correlational research was to study the relationships between personal factors, social factors, and health literacy among people at risk of stroke who are 35 years and older in Nonthaburi province. The participants were 209 people at risk for stroke, aged 35 years and over, chosen by multistage random sampling. The questionnaire had 3 parts: 1) personal factors (7 items), 2) social factors (2 items), 3) health literacy (42 items) accordingly with the concept of division of health education. The reliability of instrument was 0.85, while the KR-20 was at the 0.79 level. Data were analyzed using frequency, percentage, mean, and correlation analysis using Eta coefficient, Pearson's correlation coefficient, and Spearman's correlation coefficient. The results were as follows.

The average score of overall health literacy was at the intermediate level. The relationships between personal factors and health literacy in preventing stroke showed that marital status (η =.102, p < .001), educational level (ρ =.285, p < .001), occupation (η =.087, p = .002), and income level (r =.144, p = .037) were statistically correlated with health literacy in stroke prevention (p < .05) 3). The correlation between social determinants and health literacy in stroke prevention showed that pharmacy (η =.019, p = .047), government hospitals (η =.079, p = .000), private hospitals (η =.024, p = .027), and clinics (η =019, p = .048) were statistically correlated with health literacy in stroke prevention (p < .05) 4). The correlations between health information source and health literacy in stroke prevention showed that health personnel (η =.105, p < .000) VHVs (η =.026, p = .020), friends/neighbors (η = .028, p = .015), and family members (η =.039, p = .004) were statistically correlated with health literacy in stroke prevention (p < .05).  

The community health nurses in Nonthaburi used the results of this study to develop a program in support of health personnel, village health volunteers, friends/neighbors, and family to develop health literacy in stroke prevention people at risk of stroke in the community.

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Published

2023-03-02

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Section

Research Articles