The purposes of this study were to investigate the major determinants influencing on health promoting behaviors(HPB) of the elderly living in Seoul. The conceptual framework of the study was Pender's health promoting model and the ecological perspectives. The study was conducted with 495 elderly persons whom 60 years old. For the analysis of data, descriptive statistics and hierarchical regression were used for the statistical analysis with SPSS program. The results were as following: 1) The mean score of the HPB was 3.11(SD=0.41). 2) Hierarchical regression analysis found that ModelIV accounted for 55.7% of the variance in HPB. 3) The Major determinants on HPB among the elderly persons were prior related perceived benefits of action, social support, perceived self-efficacy, community environment, perceived health status, education, and age. In conclusions, first, we should develop to various levels of educational and supportive programs for the HPB among the elderly persons. Second, we should examine more with environment, the accessibility to senior welfare agencies. Third, we should be organized the self-help groups for the elderly persons to improve health promoting behaviors. Fourth, the government should established more secure environment for the HPB, and find better solutions that are provided by various social welfare agencies connected with the coordination of the services in the local communities. Finally, we should develop professional education training programs of the HPB for the practitioners in the field of Gerontological Social Work.
This descriptive correlational study was conducted to identify the variables related to health promoting lifestyle of girls in High school students. 156 high school students and 88 vocational high school students who lives in Taegu city were selected by a convenience sampling method. The data were collected by self-reported questionnaires from August 24 to September 4. 1998. Pender and others' Health Promoting Lifestyle Profile. Shere et al's. Self-Efficacy scale. Wallston et al.' s Internal Health Locus of Control scale. Wares' Health self rating scale and Cohen & Hoberman's Social support scale were used. The data were analyzed by using descriptive statistics, Pearson correlation coefficient. t-test. MANOVA. ANOVA. Tukey verification and Stepwise multiple regression with SAS progrom. The results of this study were as follows : 1. The average score of health promoting lifestyle performance was 2.34(SD=.36)points by the 4 point scale. 2. The combination of self-efficacy. internal health locus of control. mather's educational level and type of school explained $41.31\%$ of the variance of health promoting lifestyle. 3. Health promoting lifestyle showed significant positive correlations with self efficacy(r=.5173. p=.001), perceived health status(r=.254, p=.001) and internal health locus of control(r=.321. p=.001). On the basis of the above findings, self-efficacy in cognitive factors. and social support in modifying factors were identified as the variables which explained the most part of the Pender's health-promotion model. Nursing strategies enhancing self-efficacy which has the most significant effect on health promoting lifestyle should be developed. Further research is required to find out the factors influencing health pormoting lifestyle of high school students.
The purpose of this study was to identify health promoting behaviors(HPBs) and the related determinants affecting to women workers health based on the New Health Promotion Model by Pender(1996). Data were collected by self-reported questionnaires from 208 women workers at the 8 electronic manufacturing factories under the permission of data collection and cooperation with health managers in the factories during the period from September to October 1999. For data analysis. Descriptive statistics, ANOVA, Pearson's correlation and Stepwise multiple regression with SPSS/PC+7.5 version were used. The results were as follows : 1. The average score for the HPBs, consisted of 6 subdimensions was 2.05. The highest mean score was 2.29 in 'Spiritual growth' and the lowest one was 1.66 in 'Physical activity'. 2. No significant difference between general charateristics and HPBs were found. 3. HPBs were positively related to 'Prior related behavior'(r=0.369, p<0.1), 'Perceived self-efficacy'(r=0.340, p<.01), 'Activity-related affect'(r=0.252, p<.01). 'Social support'(r=0.350, p<.01). 'Commitment to a plan action'(r=0.374, p<.01). There was no significant correlation between perceived health status, perceived barriers to action and HPBs. 4. The most important variable in HPBs was 'Commitment to a plan action'. It was explained 14.0% out of the total variance of HPBs. 'Commitment to a plan action', 'Prior related behavior', 'Social support', 'Self-efficacy' and 'Perceived barriers to action' explained 23.0%. According to the results of this study, the suggestions were as follows: 1. It is necessary to develop program for improving the physical activity and health responsibility of women workers at the manufacturing industry. 2. To facilitate and maintain HPBs of women workers, nurses may enhance and plan mutually interactive active HPBs with women workers. 3. Social support at the level of individual workers, supervisors, and the organization is required in order to conduct health promotion program at the factories. 4. Significantly related variables to HIPBs should be identified the direct and indirect paths among them further more.
The purpose of this study was to test the revised Health Promotion Model of Pender and to determine the factors to promote health behavior for adolescents' smoking behavior. The subjects of the study was 783 boys of 4 high school students. among 39. schools locating in Daejeon metropolitan city. The data was collected from July 1st to 15th. 1997 by school health nurse The research tool were HPLP of Walker. Pender. General self-efficacy scale of Sherer. control scale was measured by subconcept of hardiness scale of Pollock. and perceived barrier. perceived benefit. activity-related-affect tool were made by researcher via literature review The data were analyzed by SAS program using frequency. t-test. ANOVA. Schefee test. regression. The results were as follows 1. The mean of total health promoting behavior was $2.27\pm.35$. Among sub domain of health promoting behavior, the highest score was interpersonal support$(2.72\pm.60)$. and the lowest was health responsibility $(1.58\pm.44)$. 2. There were statistically significant difference in total health promoting behavior according to religion. parenting style. school performance. girl friend. father's smoking of individual characteristics. 3. The socioeconomic status. smoking, parent pattern. family structure of individual characteristics and experience domain associated with perceived benefit. perceived barrier. activity-related affect. interpersonal influence of behavior-specific cognition and affect domain. The perceived barrier. self-efficacy. girl friend and father's smoking of interpersonal influence. and control explained $25.8\%$ of variance of health promoting behavior. From above results school health nurse has to emphasize on health responsibility for health promotion of adolescent. But they couldn't intervene for parent pattern. socioeconomic status. family structure of individual characteristics and experience domain. it could be possible for school health nurse to promote health of adolescents through improving perceived barrier. also develop program to increase self-efficacy and through parent health class for fathers. Above results point to the importance of including parents in smoking prevention effort targeting adolescents. Because increasing control also promotes health of adolescents. it should be studied further about the specific measure. To verify the variables for increasing the fitness of health promoting model. it needs further replication of the research.
This descriptive correlational study was conducted to identify the variables related to a health promoting lifestyle in high school students. 304 high school students and 189 vocational high school students living in Taegu city were selected by a convenience sampling method. The data were collected by self-reported questionnaires from August 24 to September 4, 1998. Pender and others' Health Promoting Lifestyle Profile, Shere et al's. Self-Efficacy scale, Wallston et al.'s Internal Health Locus of Control scale, Wares' Health self rating scale and Cohen & Hoberman's Social support scale were used. The data were analyzed by using descriptive statistics, Pearson correlation coefficient, t-test, MANOVA, ANOVA. Tukey verification and Stepwise multiple regression with an SAS program. The results of this study were as follows: 1. The average score of a health promoting lifestyle performance was 2.38(SD=.36) of a 4 point scale .Self-actualization (mean = 2.80. SD = .60). interpersonal support(mean = 2.73, SD=.47), health responsibility (mean=1.53, SD=.47), nutrition(mean=2.64, SD=.63), exercise(mean=2.71. SD=.72) and stress management(mean=2.37, SD=.58) were also analyzed. 2. The combination of self-efficacy, social-support, internal health locus of control. father's educational level and perceived health status explained 37.97% of the variance in health promoting lifestyles. 3. A Health promoting lifestyle showed significant positive correlations with self efficacy(r=.5173. p=.0011), perceived health status(r=.254, p=.001) and internal health locus of control(r=.321. p=.001). 4. According to sex(t=7.38. p=.006). economic state(F=6.62, p=.00l), Father's educational level(F=4.25, p=.005), mother's educational level(F=6.94. p=.000l), the grade of educational performance(F=3.74, p=.024), sleeping hours(F=3.47. p=.032) and social support(F=40.76, p=.0001). there were significant differences and modifying factors in health promoting lifestyles. On the basis of the above findings. self-efficacy in cognitive factors, and social support in modifying factors were identified as the variables which explained most of Pender's health-promotion model. Nursing strategies enhancing self-efficacy and social support which have a more significant effect on health promoting lifestyles should be developed. Further research is required to find out the factors influencing health pormoting lifestyle of high school students.
Purpose: This study was to evaluate the casual relationship between the factors in the Pender's model and to explain health promoting behaviors among middle-aged women in order to facilitate nursing interventions for this population group. Method: 116 women between 40$\~$60 years old living in Incheon were asked to complete a questionnaire about their health. The data was collected between March and November, 2003. The data was analyzed by descriptive statistics and the correctional analysis SPSSWIN 11.5 program. The LISREL 8.12 program was used to find the best fit model which explained a causal relationship of the variables. Results: The climacteric symptoms of middle-aged women negatively correlated with health promoting behaviors. However, marital satisfaction positively correlated with health promoting behaviors. Conclusion: Marital satisfaction and climacteric symptoms had an effect on health promoting behaviors. Therefore, based on this study, we plan to develop a health education program to decrease climacteric symptoms and to promote marital satisfaction for health promotion.
The purpose of this study was to identify the major factors affecting performance of health promoting behavior and Pender's health promotion model was examined. The subjects were 508 workers employed in 4 manufacturing industries, data was collected from May 19th to 24th, 1997 using questionaires and it was used convenient sampling method. Data were analyzed by SPSS Win 6.1 program. The results of this study were as follows 1. The average score of health promoting behavior was 2.47. 2. The Health promoting behavior in the relationships between health promoting behavior and demographic factors, there is statistically significant difference in age(F=2.56, P=.0378), religion(F=6.34, P=.0001), working type(F=4.56, P=.0036)variables. 3. The performance score of health promoting behavior was statistically positively correlated with Definition of health(r=.2471. P=.000), Self-efficacy(r=.1385, P=.002), Internal health locus of control(r=.126, P=.000), External health locus of control(r=.2550, P=.000), Chance health locus of control(r=.3023, P=.000), but negatively with Perceived health status(r=-.2076, P=.000). 4. The major factors were Chance health locus of control. Definition of health, working hours, self-efficacy, External health locus of control. and explained for $39.58\%$ of Health promoting behavior performance score.
Bae Soo Min;Jeong Ihnsook;Kim Jeongsoon;Jeon Seong-Sook
Journal of Korean Academy of Nursing
/
v.34
no.6
/
pp.964-973
/
2004
Purpose: This study was aimed to identify the major factors affecting performance in health promoting behaviors in women workers at small-scale industries. Method: This study was based on the Pender's Health Promotion Model. The subjects for this study were 251 women workers at 23 small-scale industries in Busan city. The data for this study was collected from July 15th to August 15th 2003 by structured questionaries, and were analyzed with ANOVA, t-test, Pearson' correlation coefficient, and multiple Regression in the SPSS/WIN 10.0. Result: The mean performance of the health promoting behavior was 2.56. The factors related to the performance of the health promoting behaviors were social support, marital status, status of owning a house, perceived barriers to action, working time, and self-efficacy, and they explained 58.4% of the variance of the health promoting behaviors. Conclusion: The mean performance of the health promoting behavior seemed to be low, and the most important variable related to health promoting behaviorsof women working at a small-scale industry was social support. Therefore, intervention programs to increase the social support for women worker need to be developed.
This descriptive-correlational study was conducted to identify the major factors affecting health promoting behaviors. 344 workers who employed in four different manutacturing plants in Taegu and Kyungbuk area were selected by convenience sampling method. Data were collected from April let to April 18th, 1998 by ready structured questionaires. The purpose of this study was to offer the basic data for health promotion theory development and health promotion strategy planning. This study was based on Pender's Health Promotion Model and examined three variables health promoting behavior, self-concept and perceived importance of health. The Life Style and Health Habit Assessment scale(LHHA) developed by Pender(1982).The Self-concept scale developed by Choi(1972) and the Health Value scale developed by Wallston, Maides and Wallston(1980) were used for this study. Data was analyzed by percentage, mean. t-test. ANOVA, Pearson Correlation Coefficient, and Stepwise Multiple Regression. The major findings of this study are as follows ; 1. The average level of health promoting behavior practice was 63.2% and possible range was from 62 to 248 point. The mean score of respondent's positive self-concept was 75.8. 81.4% of respondents put a high priority on the importance of health. 2. There was a significant difference between the practice level in the category of general self care and less amount of working hours per day(P=0.000), less amount of working hours per week(P=0.000). There was a significant difference between the practice level in the category of nutrition and age(0.002), marital status(0.000), working hour per day(0.008), working hours per week(0.001), There was a significant difference between the practice level in the category of nutriton and sex(0.000), age(0.000), marital status(0.025), education level(0.000), working hours per day(0.002), working hours per week(0.006). There was a significant difference between the practice level in the category of sleep and rest and age(0.003), marital status(0.002), working hours per day(0.001), working hours per week(0.001). There was a significant difference between the practice level in the category of stress management and working hours per day(0.001), working hours per week(0.002). There was a significant difference between the practice level in the category of self-actualization and working hours per day(0.050). 3. General characteristics influencing the respodent's self-concept were level(P=0.009) and worksite(P=0.001). 4. The results of the hypothesis tests are as follows The first hypothesis, that "The respondent who have more positive self-concept will have higher scores in the practice of health promoting behavior." was supported(r=0.2973, P=0.0001). The second hypothesis that "The respondent who have higher perception level on importance of health will have higher scores in the practice health promoting behavior." was rejected(r=- 0665, P=0.2225). 5. The most important factor that affects health promoting behavior practice was working hours per week(6.0%). The combination of working hours per week, age, education level accounted for 10.0% of the variance in health promoting behavior. In conclusion, the results of this study on industrial workers supported Pender's health promotion model in partial and showed the relatedness between self concept and the practice of health promoting behavior. Further research is required to find factors influencing health promoting behaviors of industrial workers.
The Purpose of this study were 1) to find out the characteristics of health promoting Ii festyles of the study samples, 2) to determine the relationships of physical health and mental health, 3) to determine the relationships of health promoting lifestyles and health status. The health promotion model was tested with a volunteer sample of 141 female students in a university in Seoul. The health promoting lifestyle was measured by the scales developed by Walker and Pender(1987). Health status was measured by Cornell medical Index. Pearson's product moment correlations and stepwise multiple regression technique were used to analyze the data. The results are summarized as follows; 1. The items with the highest frequency of the subscales of health promoting lifestyle were 'look forward to the future' $(133,\;95.0\%)$ in self actualization, 'Enjoy being touched and touching people close to me' $(122,\; 87.14\%)$ in relationships with others. The strongest correlation was between general competence In self care and nutritional practice(r=5388, P<. 0001). 2. Fatigability, frequency of illness, miscellaneous diseases, habit, mood and feeling patterns were predictive of mental health. 3. Total health promoting lifestyles explained $14\%$ of the variance for health status. Relationships with others explained $20.9\%$ of the variance for health status. In conclusion, because the most variance explained was $420.9\%$, there must be other variables not accounted for by the model. that influence health promoting behaviors. Psychological factors accounted for more variance than other factors. Intervention studies focused on psychological factors as a means of altering behaviors have great potential for the design of interventions to increase health promoting behaviors. Further testing of the model with this population should be done.
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