Community Hospital is the hospital that is the closest to the people in the area. The hospital in the study is Namon Hospital. From the preliminary survey, there were 84 motorcycle employees or accounted for 70.58% of respondents were interested in studying helmet wearing behavior of officers. Researchers, therefore, are interested in studying the behavior of officers wearing helmets, by applying the theory and Instrumentation knowledge and health factors associated with wearing a helmet of the officer to guide the development and prevent and resolve the problem of injuries from the riding a motorcycle of an officer of and be a good citizen by applying analytical study Cross-sectional Analytic Study which aims to study health knowledge and the helmet wearing behavior of officers at Namon Hospital. The sample is the staff. The data were collected by using 84 motorcycles. The statistics used for data analysis were frequency, percentage, mean and standard deviation and correlation. The majority of the sample was female at 64.3%, 21–60 years. Most of them are undergraduates, 47.5%. The knowledge of the person to wear helmets was 69.4 percent. Accessing to information and health services about information protecting oneself with a helmet was 61.9%. Communication to enhance expertise in the protection by using a helmet was 71.4%. Management of one’s own health conditions to protect oneself by wearing a helmet was 58.3%. Penetrative and understand the media and information to protect oneself using the helmet was 61.9%. Making right decision making to protect with the use of a helmet was at a lower level of 73.8% Self-care behaviors for self-protection using helmets was 66.7%. Analysis of the relationship between health knowledge factors towards helmet wearing behavior. There were four factors that were statistically significant: 1.Self-care behaviors (r=0.8, p-value=0.0001) 2. Factors related to health care management (r=0.4, p-value=0.0001) 3.Distance factors (r=0.2, p-value=0.011) 4. Communication factors for enhancement (r=0.2, p-value=0.022). All factors are positive correlations which mean that increased in helmet self-protection will increase helmet wearing behavior. Study Conclusion: This study found that most health knowledge factors were low. But the moderate is the factor of knowledge. Therefore, we should accelerate the development of health knowledge in the public which was at the low level to develop the organization and be a role model. Key words: health knowledge/helmet/hospital officials.
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