Purpose: This study was to examine the relationship between health perception, prenatal care behaviors and health promoting behaviors of unmarried pregnant women. Method: The subjects were 97 unmarried pregnant women. The data was collected through personal interviews using a questionnaire. Adjusted instruments were the health perception scale developed by Ware, prenatal care behavior scale developed by Lee, and health promoting behavior scale developed by Pender. Data was analyzed by descriptive statistics, t-test, ANOVA, and the Pearson correlation coefficient with SPSS program. Result: The mean score of health perception was 3.3, and Resistance-Susceptibility was the highest. The mean score of prenatal care behaviors was 2.9, while that of health promoting behaviors was 2.5. The relationship between health perception and prenatal care behaviors was significant(r=0.268, p=.008). The relationship between prenatal care behaviors and health promoting behaviors was also significant (r=0.633, p=.000). Conclusion: The higher the health perception of unmarried pregnant women, the more they are concerned about good prenatal care behaviors. Unmarried pregnant women did well on health promoting behaviors when they had are high degree of good prenatal care behaviors. Therefore, in order to promote positive health perceptions of unmarried pregnant women, it is necessary to develop and adjust various education and supporting programs.
Objectives: This study was conducted to describe child perceived health knowledge, health education needs, and health behaviors by sex as a representative general characteristic and examined their associations for students' better health behavior changes. Methods: The survey participants were 410 fourth to sixth grade students in two elementary schools in Seoul, Korea. A total of 12 classes in two elementary schools were randomly selected and all students of the selected classes participated in the self-administered survey. The questionnaire contained the items of perceived health knowledge, health education needs (health topics which they want to know more), health behavior, and general characteristics. Results: Perceived health knowledge, health education needs, and health behaviors were, generally, better among girls than boys. Sexual differences were not large in perceived health knowledge, health education needs, health behaviors. Perceived health knowledge had significant positive correlation with health behaviors both in boys and girls(p <.01). The correlation between perceived health knowledge and health behaviors(r =.36) was two fold greater than correlation between health education needs and health behaviors(r =.18) among boys; where as the two correlations were similar to each other among girls. The significant factors were perceived health knowledge, sex, grade, and health education needs in order, and the four factors described health behaviors in 21.0%. The higher perceived health knowledge, girls, lower grade, and more health education needs was associated with the better health behaviors. Conclusions: There was significant sexual difference of the relationship between health knowledge, health education needs, and health behaviors among children. Perceived health knowledge was more important factor to improve health behaviors among boys while perceived health knowledge and health education needs had equal importance on health behaviors among girls. Therefore, knowledge building should be an essential part of health education class goals for building better health behaviors.
Purpose: The purpose of this study was to identify health promotion behaviors of elementary school teachers and investigate the factors influencing the health promotion behaviors. Methods: Data were collected from 234 elementary school teachers in the B Metropolitan City Office of Education from 5th to 30th October, 2016. The collected data were analyzed by descriptive statistics, t-test, ANOVA, $Scheff{\acute{e}}$ test, Mann-Whitney test, Kruskal-Wallis test, Spearman correlation coefficient and multiple regression analysis, using SPSS/WIN 23.0. Results: The elementary school teachers' health perception scored 2.94 out of 4, health status 1.59 out of 3, and health promotion behaviors 2.66 out of 4. The level of mental health status (1.67) was higher than that of physical health status (1.54) and the most practiced health promotion behavior was spiritual growth (3.15) and the least was health responsibility (2.00). Significant negative correlations were found between health perception and health status (r=-.59, p<.001) and between health status and health promotion behaviors (r=-.41, p<.001). A significant positive correlation was found between health perception and health promotion behaviors (r=.32, p<.001). The significant factors influencing health promotion behaviors were job stress and health status. These factors explained 19.6% of the health promotion behaviors. Conclusion: It is necessary to establish measures to increase the health perception and health promotion behaviors of elementary school teachers and improve their health status. In addition, since job stress and health status are factors influencing health promotion behaviors, it is necessary to actively manage job stress and health status in order to increase health promotion behaviors.
Purpose: The purpose of this study was to identify the influence of eHealth literacy on health promoting behaviors, thereby providing basic data for the development of interventions for health promoting behaviors among university students. Methods: Data were collected from 242 university students aged 19 and over in a university located in K province in South Korea. Participants responded to structured questionnaires in September 2018. eHealth literacy and health promoting behaviors were measured by eHealth Litaracy (EHL) and a translated version of the Health Promoting Lifestyle Profile (HPLP-II), respectively. The correlation between eHealth literacy and health promoting behaviors were analyzed using Pearson's correlation, and multiple regression analysis was carried out to examine the influence of eHealth literacy on health promoting behaviors. Results: The participants had a moderate level of eHealth literacy with the greatest score recorded in the sub-domain of functional eHealth literacy and the lowest in the sub-domain of critical eHealth literacy. Female students and students who majored in healthcare had higher levels of eHealth literacy than male students and those with non-healthcare majors. The degree of health promoting behaviors was moderate or lower with the highest score being in the sub-domain of interpersonal support and the lowest in the sub-domain of health responsibility. Health promoting behaviors had significant relationships with eHealth literacy, exercise hours, subjective health status, and health concerns. Multiple regression analyses revealed that the participants engaged more in health promoting behaviors when they had greater eHealth literacy (β=.18, p<.001), interest in their own health (β=.33, p<.001), exercise hours (β=.18~.23, p<.001), and subjective health status (β=.17~.18, p=.007~.031). Conclusion: In order to facilitate health promoting behaviors of university students, interventions for health promoting behaviors need to be developed including strategies to improve competencies relevant to critical eHealth literacy and to increase exercise hours.
Objectives : The purpose of this study is to investigate factors influencing on health promotion behaviors in public health course of college students. Methods : Subjects were 325 dental hygiene students and they completed self-reported questionnaires including health promotion behaviors, self efficacy, self esteem, and general characteristics from May 13 to 24, 2013. Students were recruited by sample convenience extraction. Data were analyzed using SPSS version 18.0 for descriptive statistics, t-test, one way ANOVA and multiple regression analysis. Results : Health promotion behaviors were closely related to concern for health care (p<0.001) and concern for health related goods (p<0.01). High self-efficacy and high self-esteem showed concern for health care (p<0.001). 2. Health promotion behaviors had significantly positive correlation with self efficacy, self esteem, and perceived health condition. 3. The most powerful predictor in health promotion behaviors was self efficacy. Self efficacy, self esteem, and major, concern for health-related goods, perceived health condition accounted for 40.8% of the total variance in health promotion behaviors. Conclusions : The result revealed that undergraduate students should take exercise and diet control for their health. Self-efficacy is the most important predictor of health promotion behaviors. Health promotion behavior programs should put emphasis on exercise and diet control and can be improved by behavioral change.
Purpose : This study was done for reviewing problems in surveys on youth health risk behaviors in Korea and for looking for strategies to improve surveys of youth health risk behaviors through literature review. Method : This study reviewed foreign and domestic literatures. Results : The main problems were as follows; 1) lack of health risk behavior surveys focused on health behaviors, 2) differences in health risk behaviors surveyed, 3) inconsistency in the measurement on health risk behaviors, 4) lack of representativeness of the sample, using convenient sampling. Conclusions: Several suggestions were made for the future research, including establishment of systems for youth health risk behavior survey nationwide, introduction of internet survey, maintenance of consistency in health risk behaviors surveyed, investigation of relating factors relevant to health risk behaviors, and uses of survey results.
Purpose: The purpose of this study was to investigate the relation between perceived health status and health-promoting behaviors in female college students. Method: Data were collected from December 10 to 31. 2007. In 160 female college students, perceived health status was measured using the Medical Outcomes Short-Form Health Survey (SF-36), and health-promoting behaviors using the Health Promoting Lifestyle Profile (HPLP). Results: The major findings of this study were as follows: 1) The mean scores of the level of health promoting behaviors, physical health status, and mental health status were 2.44 (SD=0.39), 51.9 (SD=8.03), and 42.56 (SD=10.77), respectively. 2) Health-promoting behaviors were correlate with physical health status (r=-.361) and mental health status (r=.498). 3) Health-promoting behaviors were significantly associated with allowance and mental health in capability, which explained 28.9% of variance in health-promoting behaviors. Conclusion: The results suggest that it is necessary to strengthen female college students' practice of exercise and responsibility for health in order to improve their health promotion behaviors. Also, the results of this study give useful information for designing interventions and program development for female college students' appropriate health promoting life.
Purpose : Health Risk behaviors are a leading cause of preventable morbidity and mortality. Adolescents is a critical transitional period for establishing health behavior for healthy life. The purpose of this study was to describe the types and frequency of the health risk behaviors being performed by middle school students, examine the gender and grade differences of health risk behaviors, and identify the relationship among health risk behaviors. Methods : A total of 1952 early adolescents recruited from 7 middle schools in a district of urban setting completed questionnaires. Youth Risk Behavior Survey-Middle school questionnaires was used to identify the types of health risk behaviors among early adolescents. Data were analyzed by descriptive statistics and Chi-Square test using SAS program . Results : The results showed the frequency for most health risk behaviors and increased with advancing grade level. Males were more likely than females to behaviors related to smoking and violence, whereas females were more likely than males to have suicidal thoughts, be physical inactive and attempt to lose weight. Among health risk behaviors, the relationship of alcohol experience, smoking, and suicide was high. Conclusion : The findings identify a high risk target group among middle school adolescents and suggest that preventive intervention strategies should take into consideration the types with gender and grade, and provided the evidence that one of health risk behaviors may induce the other health risk behaviors.
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 $\alpha$s 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%).
This study attempts to provide basic information that is necessary to establish the direction of oral health education process abd to develop effective oral health promoting programs for college students by analyzing the modifying factors that may affect their oral health behaviors and their cognitive and perceptive factors. Data for this study are collected by the questionnaire method from college students who attend colleges located Chungchong and Busan province for the period between June 20, 2006 and July 30, 2006. The respondents were chosen from Dental department and Non-Dental department. After omitting the responses with insufficient information, 409 valid responses are used for this analysis. The major finding of the present study are as follows: 1. Oral health behaviors factor is higher rate dental department than non-dental department, dental department than non-dental department appear significant the oral health education, the lasted year round oral examination, the used of oral hygiene supplies, oral prevention treatment. 2. Oral health behaviors and perception-awareness factor is higher score dental department than non-dental department and self efficiency is similar. Oral health behaviors is higher score dental department, the barriers to oral health behaviors is similar. The benefits of oral health behavior is higher score dental department. 3. The oral health behavior is higher dental department. In dental department the overall average score for oral health behaviors question is the correct teeth-brushing, self-restraint of liquor and cigarettes. Non dental department the overall average score for oral health behaviors question is the correct teeth brushing, good nutrition. The lower average score is scaling and periodic oral examination. 4. The correlation coefficient analysis between oral health behaviors and perception-awareness factors, variables which appear significant correlation coefficient by the self-efficiency are the control of oral health, the benefits of oral health behaviors, behavior of oral health, variables which appear significant correlation coefficient by the control of oral health are the benefits of oral health behaviors, the knowledge of oral health, behavior of oral health. And variables which appear significant correlation coefficient by the barriers to oral health behaviors is the benefits of oral health behaviors, variables which appear significant correlation coefficient by the knowledge of oral health is oral health behaviors.
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