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.
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 Journal of Korean Academic Society of Nursing Education
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v.27
no.4
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pp.412-422
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2021
Purpose: The purpose of this study was to analyze the factors influencing the health promoting behavior(s) of office worker males in the COVID-19 pandemic by applying Pender's health promotion model. Methods: The participants in this study were 149 male office workers at companies located in S, G and S cities. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and a stepwise multiple regression using the SPSS Window 25.0 program. Results: The subject's health promoting behaviors and prior related behaviors (r=.58, p<.001), perceived benefits of action (r=.41, p<.001), self-efficacy (r=.53, p<.001), social support (r=.39, p<.001), self-esteem (r=.47, p<.001) and commitment to a plan of action (r=.67, p<.001) showed a high positive correlation. The factors affecting the subjects' health promoting behaviors were the commitment to a plan of action (𝛽=.35, p<.001), self-esteem (𝛽=.27, p=.005), prior related behavior (𝛽=.26, p<.001), health status (good) (𝛽=.20, p=.001) and self-efficacy (𝛽=.14, p=.047). These variables explained 63.0% of the subjects' health promoting behaviors. Conclusion: During the COVID-19 pandemic, subjects are more likely to be exposed to disease due to reduced outdoor activity time and irregular eating habits due to the strengthening of social distancing. Health promoting behaviors are an important concept that can maintain health and prevent diseases. To improve the health promoting behaviors of men engaged in office work, it is necessary to develop and operate a health promotion behaviors program considering those variables.
This study aimed to assist the improvement of organizational commitment and the preparation of an action plan regarding support from the organization by examining the effects of organizational culture types and perceived organizational support on firefighters' organizational commitment. To this end, 205 fire-fighting officers from the northern area of Gyeonggi-do were surveyed using the purposive sampling method. The results demonstrated that among organizational culture types, the perception of group culture, rational culture, and organizational support held by firefighters had a significant influence on their organizational commitment. Based on these results, this study suggested various support plans at the organizational level for stimulating group culture and rational culture among firefighters, and improving organizational commitment.
Purpose: The purpose of this study is to compare health promotion behavior and influencing factors between aged women of rural areas and urban areas, to investigate factors affecting their behavior, and to provide the primary data for developing heath enhancing program that is appropriate for the population. Method: A survey was conducted on 221 aged women 100 from urban areas and 121 from rural area. The data were collected through a questionnaire and interview. Descriptive statistics, ANOVA and multiple stepwise regression were found by using SPSS PC Win. Package. Result: There were significant difference of factors relating health promotion behavior in Pender model between the aged women in urban areas and rural areas, urban women showed higher scores in factors such as previous heath relating behavior, perceived confidence, self-efficacy, social support, satisfaction with marriage, situational influence, and behavioral plan involvement, while rural women showed higher scores in the factors of fixed idea regarding gender role, perceived disabled feeling, and activity related emotions. At the subscale of HPLP, interpersonal relation, nutrition, health responsibility, stress management, spiritual growth of rural group was lower than urban group. With the multiple stepwise regression analysis, commitment to a plan of action, social support, activity related affect, self efficacy were proved to be significant to urban group, while commitment to a plan of action. activity related affect, social support, sex-role stereotype were proved to be significant to rural group statistically. Conclusion: There were differences of health promotion behavior and influencing factors between aged women in urban areas and rural areas and women in rural areas were found to have more weakness than women in urban areas. With the results, it is concluded that health promotion programs for aged woman should be designed differently between urban and rural area regarding the factors affecting health promotion behaviors.
Generating an action plan and obtaining commitment to achieve it is desired in organizations, but not always achieved. Whatever the reason, there is a room for an improved approach to decision making, so that people can arrive at a common understanding of a problem and commitment to action. Those are the purposes of a Decision Conferencing(DC). A DC, one example of single workstation-based GDSSs, is a two-day session attended by a group of people who attempt to resolve important issues of concern to their organization with the help of group facilitation techniques and decision analytic computer modelling. The interchange of differing perspectives on the issues is encouraged by the facilitator who attends to group processes but does not contribute to the content of discussions. Decision analysis provides a variety of structures for modelling the differing perspectives. Information and value judgements are incorporated in these models, whose results usually reveal new, higher-level perspectives on the issues. Information technology is needed to combine the part of the model and to facilitate on-the-spot replay of results. The experimental case study in this paper shows that how a DC can help a Korea's trading company to develop new, corporate level resource allocation strategies which are based on improved consensus among competing participants.
The covenant of Mayors initiative includes the commitment of the municipalities-signatories to reduce voluntarily the greenhouse gas emissions over 20--- by 2020 within their boundaries and obligates them to develop and submit an energy consumption analysis and a sustainable energy action plan within a year from the adhesion. The present paper discusses the energy profile of three medium-sized north-eastern Greek Municipalities (Kavala-MoK, Alexandroupolis-MoA, Drama-MoD) through the analysis of their municipal energy balance. The results of the total final energy consumption per capita include 14.10MWh/capita, 14.24MWh/capita and 12.91MWh/capita for MoK, MoA and MoD respectively. The analysis highlighted the increased energy consumption of the private sectors, namely residential and tertiary building sand private transport. The assessment of the municipalities' energy profiles along with examination of national regulations and action plans and investigation of best available practices within the Covenant of Mayors shaped the development of the sustainable energy action plans of the examined municipalities that is presented in this paper. The proposed pathway towards low-carbon municipalities can be considered a representative case study and a starting point for other municipalities with similar characteristics.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.3
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pp.258-269
/
2017
This study was conducted to examine the predictive factors for health promotion behaviors of breast cancer patients, focusing on Pender's health promotion model (1996). Data were collected from 121 patients using a structured questionnaire from September 18 to October 26 in 2015. The data were analyzed with a t-test, ANOVA, Pearson's correlation coefficients, and hierarchical multiple regression analysis using SPSS 20.0 for Windows. The predictive factors for the health promotion behavior of the participants were social support, commitment to a plan of action, prior behavior, activity related effects, perceived self-efficacy, family function, perceived benefits of action, and situational influences. The total explanatory power of these factors was 57.8%. Development and application of a nursing intervention plan that enhances patient compliance with health promotion behavior is needed to enable breast cancer patients undergoing rehabilitation to maintain their optimal health and live a high-quality life. Patients who showed a low degree of predictive factors identified in this study are in particular need of attention.
Purpose: The purpose of this study was to propose and to test a predictive model that could explain and predict the health promotion behavior of obese school-age children in Korea. Methods: Participants for this study were 365 students from 13 elementary schools located in Jeonbuk Province, Korea. The data were analyzed using SPSS 15.0 program and Amos 7.0 program. Results: The results verified the factors that influence health promotion behavior of the participants. Important direct factors were prior health-related behavior, perceived self-efficacy, and commitment to a plan of action and indirect factors were perceived barrier and activity-related effect. These factors explained 75.3% of variance in the participants' health promotion behavior. The proposed model was concise and extensive in predicting health promotion behavior of the participants. Conclusion: Findings may provide useful assistance in developing effective nursing interventions for maintaining and promoting health promotion behavior in obese school-age children.
Kim, Hee-Sun;Oh, Eui-Geum;Hyong, Hee-Kyoung;Cho, Eun-Sil
Research in Community and Public Health Nursing
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v.19
no.3
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pp.506-520
/
2008
Purpose: The purpose of this study was to investigate factors influencing college students' health promotion lifestyle. Methods: The subject was 606 students. Statistical analysis with SPSS used descriptive statistics, t-test, one way ANOVA, Pearson correlation and Stepwise Multiple Regression. Results: The average item score for health promotion lifestyle was 2.58. The subscale showing the highest score was interpersonal relationship (3.03), which was followed by spiritual growth (2.94). stress management (2.54), nutrition (2.52), physical activity (2.16) and health responsibility (2.15). There were significant differences according to age, gender, BMI, perceived health state, religion, economic state, live together, major and health promotion lifestyle. The most powerful Predictors of health promotion lifestyle were the prior related behavior (51.8%) and self-efficacy (7.7%). The combination of prior related behavior, perceived self-efficacy, activity-related affect, social support, perceived stress, commitment to a plan of action accounted for 67.9% of the variance of health promotion lifestyle. Conclusion: Prior related behavior was the most powerful variable of health promotion lifestyle. Therefore, health promotion programs for changing and maintaining prior related behavior and increasing self-efficacy should be developed to promote a healthy lifestyle in college students.
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