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• Comparing factors related to perceived control and preventive behaviors from COVID‐19 between Japanese and American nursing students: A cross‐sectional study
  Akiko Kondo, Renaguli Abuliezi, Kosuke Niitsu, Kazuko Naruse, Tomomi Oki, Erika Ota, Mabel C. Ezeonwu
  Japan Journal of Nursing Science.2024;[Epub]     CrossRef

PURPOSE: This study was to examine the relationships between knowledge, health belief and self-efficacy of osteoporosis with the women residents in an island. METHOD: The subjects were 64 women who lived in an island located in Incheon metropolitan city. Data collection was performed by using questionnaire that included Osteoporosis Knowledge Test, Osteoporosis Self-Efficacy Scale and Osteoporosis Health Belief Scale by Kim, Horan & Gendler (1991). The Data were analyzed using SAS computer program that included descriptive statistics, t-test, ANOVA, Pearson correlation coefficient. RESULT: 1) The mean of osteoporosis knowledge was 10.03 in the range of 0 to 24, shows the relatively lower score than mean score. The mean of osteoporosis health belief variables were susceptibility 18.95, seriousness 19.05, benefits of exercise 22.35, benefits of calcium 21.81, barriers to exercise 16.95, barriers to calcium 13.13, and health motivation 19.75 in every range of 6 to 30. The mean of osteoporosis self-efficacy was 37.95 in the range of 12 to 60, shows a relatively higher score than mean score. 2) There were statistically significant differences in the degree of osteoporosis knowledge according to age, education. But There was no significant difference in the degree of osteoporosis and self-efficacy according to general characteristics. There were statistically significant differences in the degree of susceptibility according to religion, family income. There were statistically significant differences in the degree of seriousness, health motivation according to family income. There was statistically significant difference in the degree of barriers to exercise according to education. 3) There were statistically significant positive correlations between osteoporosis knowledge and benefits to exercise, benefits of calcium intake. There was statistically no significant correlation between osteoporosis knowledge and osteoporosis self-efficacy. There was statistically a significant positive correlation between osteoporosis self-efficacy and barriers to exercise. There was statistically a significant negative correlation between osteoporosis self-efficacy and health motivation. CONCLUSION: According to the result, osteoporosis education program including exercise, calcium intake should be operated to increase benefits to exercise and calcium intake for osteoporosis prevention. In addition, the program of improving self-efficacy should be designed and operated to decrease the perception of barriers to exercise and to increase the perception of health motivation of women in island.

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  Su Jeong Yeo, In Woo Shin, Bok Hee Kim
  The Korean Journal of Community Living Science.2015; 26(4): 731.     CrossRef
• A Study of the Practical Knowledge Regarding Osteoporosis and Health Promoting Behavior Among University Students
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  Yoonsuk Suh, Yun-Hee Seok, Young-Jin Chung
  Korean Journal of Nutrition.2012; 45(4): 324.     CrossRef
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• A Study on the Level of Awareness and Self-Efficacy of Osteoporosis in Young Women
  Euysoon Choi, Ju Young Lee
  Korean Journal of Women Health Nursing.2010; 16(2): 204.     CrossRef
• The Relationship between Knowledge, Health Beliefs, and Prevention Behaviors of Osteoporotic Fracture in Patients receiving Osteoporosis Treatment
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PURPOSE: The purpose of this study was to investigate the influencing factors on health behavior among patients with coronary artery disease.
METHOD
The subjects were 95 patients who visited the out-patient department of a university hospital for follow-up. The four health belief concepts (motivation, benefit, barrier, seriousness), general self-efficacy, health behaviors on medication, diet, exercise, stress management, smoking, and drinking were measured.
RESULT
There were significant differences in the health behavior scores of subjects according to family support and the experience of surgical procedure. Subjects were found to have a high degree of compliance in taking medication. However subjects reported the lowest degree of compliance in regular exercise. In the multiple regression analysis, surgical procedure and motivation were significant predictors to explain diet. Motivation and barrier were significant predictors to explain exercise. Self-efficacy, motivation and family support were significant predictors to explain stress management. Family support and seriousness explained 16% of variance in drinking. Also, family support explained 30% of variance in smoking.
CONCLUSION
Since predicting factors on each health behavior indicator were different, then nurses should consider these differences to construct strategy enhancing patient's recovery.

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Health belief is an important factor influencing the performance of health behaviors. Young adulthood is a critical period to establish health beliefs and behaviors for a healthy life. As health professionals, nurses can help young people establish more positive health beliefs and carry out health behaviors more effectively. But before attempting to help them, it is necessary to identify their health beliefs and behaviors. The purpose of this study was to identify the health beliefs and health behaviors of university students in Korea. Subjects for this study were 2000 students from 10 universities, but data from only 1605 subjects was included in the analysis. Data were collected from May 5th, 1998 to June 21th, 1998. Instruments used in this study were two tools to measure 'health beliefs' and 'performance of health behaviors' that had been developed and used in previous research. Cronbach's alphas were .8737 for the tool for health beliefs and .8385 for the tool for health behaviors. The results of this study are as follows. (1) Average score of the subjects was 117.68 for health belief and 95.15 for performance of health behaviors. (2) There was a significant correlation between the health belief and the performance of health behaviors(r= .419). (3) School year, major, health status, and experience of disease in the students were important factors in the explanation of health belief(28.8%). (4) Health belief, major, health status, school year, sex, age, experience of disease in family members were important factors in the explanation of the performance of health behaviors (21.2%).

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