The purpose of this study is to find out how well the middle school students are practicing the health promotion behaviors and the factors relating their health promotion behavior. Questionnaire survey on 922 middle school students attending 6 middle schools (three middle schools for each sex) located in Taegu City from the 7th through 19th of Feb. 2000 were conducted. The following were as follows; 1. The perceived health status is higher in male students than in female students(p〈0.01). And the ratio of the students' feeling that they are healthy becomes also high in proportion to their economic status, and their mothers' educational level, and their parents' interest in health(p〈0.01). The perceived importance of health is high in proportion to the students' economic status, and their parent's interest in health. 2. In case of the Health Locus of Control in Personality, the students with both parents have higher trend of inner control than the students with single mother or single father. The perceived self efficacy is significantly higher in male students than in female students(p〈0.01). And it becomes significantly high in-proportion to the students' economic status and their parents' educational level and interest in health(p〈0.01). It is also higher in the students who had no diseases. 3. In case of the perceived benefit of the health promotion behavior, the ratio of the students responding that it is high is higher in male students than in female students(p〈0.01). It also becomes high in proportion to the students' economic status, and their parent's educational level and interest in health(p〈0.01). The barriers of the health promotion behavior was found to have no variables that are related to itself. 4. According to the data from Multiple Regression of Analysis which has the health promotion behavior practice as a subordinate variable, in male students' case the degree of health promotion behavior practice becomes high in proportion to their parents' interest in health, and the perceived health status. Their degree of health promotion behavior practice is also in proportion to their perceived self efficacy and the perceived benefit of the health promotion behavior practice. But in case of the barriers of the health promotion behavior practice, the result is the opposite. As to the female students, their health behavior practice becomes high in proportion to their parents' interest in health. It also becomes high in proportion to the perceived health status, the understanding of the importance of the health, the perceived self efficacy and the perceived benefit of the health promotion behavior. But in case of the barriers of the health promotion behavior, it was the same as the male students' case.
Objectives: The purpose of the study was to investigate the influencing factors of oral health behavior and oral health awareness of university students by assessing oral health practice. Methods: A self-administered questionnaire was completed by 500 university students in Jeonbuk from June 2 to 15, 2014. Except ten incomplete answers, 490 data were analyzed. The questionnaire consisted of general characteristics of the subjects, subjective oral health status (8 items), oral health knowledge (18 items), and oral health practice (22 items) by Likert 5 point scale. Results: Oral health behavior had a significant effect on smoking status (${\beta}=-0.200$, p<0.001), oral health knowledge (${\beta}=-0.235$, p<0.001), dietary control practice (${\beta}=-0.123$, p<0.05), and daily toothbrushing frequency (${\beta}=-0.240$, p<0.001). With respect to factors influencing oral health knowledge, significant effect was found in oral health behavior (${\beta}=0.258$, p<0.001), dietary control awareness (${\beta}=0.208$, p<0.001), and dietary control practice (${\beta}=-0.136$, p<0.05). Conclusions: Oral health knowledge of university students is an important factor to cause a change in the behavior of oral health practice. Consequently, oral health education is essential to university students. In order to help improve the oral health, more customized and organized oral health programs will be necessary and it will encourage changes in university students oral health practices.
Purpose: The study aimed to determine the key factors influencing health-promoting behavior and the behavioral intentions of eHealth consumers based on the health promotion model and technology acceptance model. Methods: This research involved a longitudinal path analysis. The study was conducted with 360 eHealth consumers aged over 18 years, employed in the top five categories of the Korean standard classification of occupations, and living in the five largest cities in South Korea. The data were analyzed using SPSS 22.0 and AMOS 25.0. Results: Health-promoting behaviors were directly supported by prior health-related behavior and behavioral intention, and indirectly supported by perceived ease of use, perceived usefulness, perceived benefit, self-efficacy, and behavioral intention. These variables accounted for 36.3% of the variance in health-promoting behavior. Conclusion: The findings serve as a framework that can help health professionals and health information providers understand how to encourage consumers using eHealth to engage in health-promoting behaviors.
Although many people initially enroll in health education programs, there are many instances of erratic participation and dropouts. Inconsistent participation in intervention programs minimizes their impact on health promotion. Therefore, a theoretical understanding of factors influencing participation in these programs can potentially enhance the effectiveness of its educational strategy. This study used the Pender's Health Promotion Model to examine specific factors influencing incentives to participate in an elderly nutrition education program. The Elderly Nutrition Counseling and Education Program was conducted with 147 volunteers (76 males, 71 females), aged 60 to 87, at 5 separate community elderly centers, by public health dietitians from February to April 1997. Some participants dropped out during the program. Overall, 61 people(18 males, 43 females) finished all 7 steps over 2 months. Pre-intervention data were collected by trained dietitians. This data included individual cognitive-perceptual factors(perceived benefits of nutrition improvement, importance of health, perceived control over health by multidimensional health locus of control, self esteem, perceived health status, concern about health, depression scale and social health scale), which were known to influence the likelihood of health behavior, and modifying factors(socioeconomic variables, biological characteristics, behavioral factors, such as smoking, alcohol drinking and exercise). Male finalists had a significantly lower chance for health locus of control, and better social health status with their children and grandchildren, compared to males who dropped out. Female finalists had a significantly higher locus of control regarding food behavior, higher self-esteem, better recognized nutritional status, worse self-recognized health status and lower concern about health than those who dropped out. There was no significant difference between the attendees and dropouts in age, BMI$(kg/m^2)$, Nutritional Risk Index, depression scale and daily nutrient intake. These results suggest that elderly nutrition intervention plans should focus on the individual cognitive and perceptual factors, with interpersonal influences, to increase participation in nutrition in nutrition improvement programs.
Purpose: The purpose of this study was to investigate the factors influencing health promoting lifestyle in the elderly. Method: The subject of this study was 305 elderly person over the age of 60, living in rural and urban, Korea. For the analysis of collected data, descriptive statistics, t-test, analysis of variance and stepwise multiple regression were used for statistical analysis with SPSS statistical program. Results: The average item score for the health promoting lifestyle was 2.46, The higher score on the subscale was nutrition(2.65). The lowest score on the subscale were physical activity(2,36) and stress management(2,36). General characteristics showing statistically significant difference in health promoting lifestyle were age, residential district, live together spouse, education, religion and pocket money in the elderly. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle in the elderly was prior related behavior(R2=.554). A combination of prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences accounted for $64.3\%$ of the variance in health promoting lifestyle in the elderly, Conclusion: The factors influencing on health promoting lifestyle for elderly were prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences.
Journal of Korean Academy of Fundamentals of Nursing
/
v.21
no.1
/
pp.29-38
/
2014
Purpose: This study was done to examine factors affecting cancer preventive behavior in middle-aged people. Method: The research design for this study was a descriptive survey design using convenience sampling. Data collection was done using self-questionnaire with 203 middle-aged people in Seoul and G city. Data were analyzed using t-test, ANOVA, Pearson correlation coefficients and stepwise multiple regression with the SPSS Win 20.0 Program. Results: The mean score of cancer preventive behavior was $3.43{\pm}.14$ out of 5. Cancer preventive behavior showed a significantly positive correlation with knowledge about cancer (r=.24, p<.001). In the multiple regression analysis, gender, perceived health status and knowledge about cancer were significant predictors and explained 14.5% of cancer preventive behaviors. Conclusion: Findings of this study allow a comprehensive understanding of cancer preventive behavior and related factors by middle-aged people. However, further study with a larger random sample from various living environment is necessary.
Purpose: This study was to identify the factors associated with stages of exercise behavior change of residents in a community on the basis of the Transtheoretical Model. Methods: Data were collected from 520 residents of a community using a self-report questionnaire. The survey variables comprised the stages of exercise behavior change, the process of change, decisional balance and self efficacy. Results: There were significant differences in the process of change, decisional balance and self efficacy by the stages of exercise behavior change. The factors associated with transition from pre-contemplation to contemplation were consciousness raising and self efficacy; regarding those from contemplation to preparation, cons of the decisional balance and social liberation; regarding those from preparation to action, dramatic relief and counter conditioning; regarding that from action to maintenance, cons of the decisional balance. Conclusion: TTM would be applicable to explain the exercise behavior of some residents in a community, which suggested that the programs for improving exercise behavior of residents in a community need to be developed.
Objectives : The aim of the study is to investigate the health belief model affecting the oral health behavior in elementary school students by applying health belief model. Methods : Subjects were 216 elementary school students including 6th grade 103 boys and 113 girls in Gyeonggi-do from February 1 to February 28, 2013. They completed self-reported questionnaires after receiving informed consents. Results : Oral health belief model showed cues to action($20.39{\pm}3.11$), benefits($19.63{\pm}3.37$), self-efficacy($16.62{\pm}2.60$), severity($14.53{\pm}3.94$), susceptibility($14.31{\pm}4.62$), and barrier($11.74{\pm}3.85$). Oral health belief revealed the lower the level of barrier(p=0.004) and the higher cues to action, Benefits and self-efficacy were the best oral health behavior(p=0.000). The most influencing factors of oral health belief were self-efficacy(0.267) and Cues to action(0.239). Conclusions : Children's oral health belief is associated with oral health behavior. children's self efficacy and cues to action toward oral care influenced on oral behavior. It is important to enhance the recognition toward self efficacy and cues to action by following recommended behavior and effective health educational program.
Propose: This study was to identify the factors affecting the oral health status in vulnerable elders receiving home visiting health care service. Methods: A total of 444 elderly people over the age of 65 at 33 public health centers in Daegu and Gyungbuk areas were included in this survey. The data were collected by personal interview with nurses using oral health knowledge, behavior, and status questionnaires from the $10^{th}$ to $22^{nd}$ of July, 2012. The data were analyzed with t-test, one-way ANOVA, $Scheff{\acute{e}}$ test, and stepwise multiple regression, using SPSS program. Results: Factors affecting the oral health status were chewing satisfaction with denture 14.5% (${\beta}=.391$, p<.001), denture care (wash with water) 3.2% (${\beta}=-.187$, p<.01), and types of health insurance (medical aid type1, 2) 1% (${\beta}=-.111$, p<.05). The factors explained 18.7% of variance in the oral health status of vulnerable elderly subjects. Conclusion: The results of this study indicate that in order to improve the oral health status of vulnerable elders, it is necessary to provide oral health education that includes the proper usage of denture to elders who receive home-visiting care.
Purpose:The present study was to apply the Attitudes-Social influence-Efficacy (ASE) model in order to identify factors associated with the assertive behavior of non-smoking college students when they are exposed to secondhand smokes in Korea. Methods: Data were collected from non-smoking college students (N=1,656, 76.6% female) at two universities in Seoul and Gyeonggi-do. The main outcome measure was the assertive behavior. ASE factors such as attitudes toward being assertive, social influences, and self-efficacy as well as socio-demographic, health-related, and smoking-related factors were self-administrated. Results: The mean of the assertive behavior (range 1~5 points) was 2.23;37.6% was not at all assertive, while 4.3% was always assertive. Higher assertiveness was significantly correlated with a higher level of positive attitude, social influence and self-efficacy (p<.05 for all). Stepwise multiple regression analyses showed that the social influence was the strongest factor associated with the assertive behavior (${\beta}=0.430$, p<.001, $R^2$=.246), followed by self-efficacy, motive to assertiveness, having any family member who had diseases, and male gender. These factors explained the assertive behavior by 39.7%. Conclusion: The ASE model may explain the assertive behavior of non-smoking college students under secondhand smoke exposure. Social influence and self-efficacy were significant factors associated with their assertive behavior.
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