• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1241-1245
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• 2012

Aim: In this study we aimed to investigate the healthy life-style behaviour of Turkish women and establish influencing features. Methods: This descriptive study performed by a questionnaire method was conducted in a primary health care centre, in an urban region in Kayseri, Turkey. Every midwife region belonging to the health care centre was accepted as a cluster, and a sample of 450 women between ages 18-64, was gathered from 9 midwife regions. The Health Promotion Life-style Profile (HPLP) was applied to evaluated the healthy lifestyle behaviour of 421 women that could be reached. T test, Tukey HSD with ANOVA, and chi square tests were used for analysis. Results: The mean total HPLP was $126.8{\pm}19.2$ (interpersonal support subscale, $74.3{\pm}14.1$; nutrition subscale, $73.6{\pm}12.6$; self-actualisation subscale, $70.6{\pm}11.9$; stress management subscale, $63.4{\pm}13.0$; health responsibility subscale, $61.2{\pm}13.2$; and exercise subscale, $47.1{\pm}15.0$). There was no statistically significant variation when evaluated for age, marital state, family type, economic status, and perception of self-health, smoking, and BMI. HPLP was high in people with an education of primary school and lower in university graduates, in people who lived mostly in the city centre and in individuals with chronic diseases. In conclusion, it was established that the health promoting behaviour in Turkish women is, in general, at a medium level, and women should be enlightened in order to develop and increase the habit of health preservation and promotion.

• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.1
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• pp.129-139
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• 2010

Purpose: A new scale was developed to measure personal power and ability for health care and promotion including health determinants. Method: Research phases designed for this study were a literature review, scale development, discussion with experts, pre-test for content validity, and survey for construct validity and reliability. The scale was composed of 20 items on 4 point Likert scale and was tested on middle aged Korean-Americans (110) and Koreans (105) living in a community. Result: As the result of factor analysis, 7 dimensions were identified that were similar yet different from the original dimensions. They included health literacy, socialbelonging and gender role, self-perception, health policy participation, socio-cultural interpersonal relationships, spiritual comfort, and socioeconomic involvement. The total variances explained 59.73%. The reliability was .736 of Cronbach's alpha. The mean PPHC was not different in age, gender, economic status and disease presence, but significantly different in country where living, religion, education level, job presence, and emigration period. The increased power group perceived more wellbeing and less depression, high internal locus of control and increased power with others. In addition, they had a greater health promotion lifestyle profile. Conclusion: This scale was statistically reliable and valid to measure personal power of health care.

• Journal of Society of Preventive Korean Medicine
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• v.5 no.1
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• pp.10-30
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• 2001

Oriental medicine needs to be armed with theories on health-improvement concept under it and basic data matching its views, in order to participate in the health-improvement service in industrial work places. The Orient medicine health-improvement program defines factors that determine individuals' lifestyle, and provides information and technologies for workers to practice in life. To that end, this research compares and analyzes health-improvement concept and health care, defines relations between individuals' health state and their lifestyle as the basic data needed to perform health-improvement business for workers. 1. The subjects employed for this research is categorized into; by gender, males 52.1% and females 47.9% with no big difference between them; and by age, 20s, 6.1%, 30s. 33.9%, 40s, 34.1%, and 50s, 24.8% with 30-50 accounting for most of it. By marriage status, unmarried represents 7.1%, and married 79.1% with most of them married; by revenue, under one million won represents 3.0%, 1-2 million won 26.4%, 2-2.49 million won 11.2%, above 2.5 million won 11.2%, and 1-2.5 million won a majority. By living location, owned houses represents 65.4%, rented houses 14.7%, monthly-rented 9.5%; and by education, elementary and middle school represent 16.9%, high school and its dropouts 22.6%, and junior college and higher 51.6%, with high school and higher occupying most of the group. 2. By job, office workers and managerial workers represent 12.3%, part-timers 21.0%, manual workers 11.4%, jobless 0.6%, professionals 35.6%, service 0.6%, housewives 8.4%, and equipment/machinery operation/assemblers 10.1%. Of this, jobless and part-timers, totaling three, are dropped from this research. By years worked, 0-3.9 years represents 9.7%, 4-7.9 years 6.7%, 8-14.9 years 18.4%, above 15 years 28.7%, and no respondents 36.5%. 3. The degree of the subjects practicing life-improvement lifestyle, on a scale of 1 to 4, is an average of 2.69, personal relations 3.04, self-realization 2.92, stress management 2.76, nutritional state 2.73, responsibility for health 2.47, and athletic activities 2.18, with personal relations earning the highest points and athletic activities the lowest. As for factors influencing health-improvement lifestyle, there is no significant difference between gender, age, and marriage status. Meanwhile, there is significant difference between revenue, dwelling pattern, education level, etc. That is, higher income-bracket, owned houses, rented houses, monthly-rented houses, and higher-educated, in this order, show higher average in health-enhancement lifestyle. By job, housewives, manual workers, office workers, professionals, equipment/ machinery operation/ assemblers, and part-timers, in this order show higher points, while there is no difference with significance by years worked. 4. Factors that affect health-improvement lifestyle are shown below. Self-realization is influenced by age, marriage status, type of dwellings, and level of education; responsibility for health by type of dwellings; athletic activities by gender and age; nutrition by age, marriage status and type of dwellings; personal relations by marriage status; and stress management by type of dwellings. 5. Areas with high points by job show this: in self-realization, office workers, manual workers, housewives, professionals, equipment/ machinery operation/ assemblers, in this order, show difference with significance; in the area of responsibility for health, manual workers, housewives, equipment/ machinery operation/ assemblers, professionals, office workers and part-timers, in this order, do. In athletic activities, manual workers, housewives, office workers, professionals, equipment/ machinery operation/ assemblers, and part-timers, in this order, show difference with significance; in nutrition, housewives, office workers, manual workers, professionals, equipment/ machinery operation/ assemblers, and part-timers, in this order do; and in stress, housewives, office workers, manual workers, professionals, equipment/ machinery operation/ assemblers, part-timers, in this order do. By years worked, more years showed higher points in the area of responsibility for health and nutrition; in the area of athletic activities, above 15 years, 4-8 years, below 4 years and 8-14 years, in this order, show higher points; and no difference shows in realization, personal relation, and stress area. 6. To look at correlation between overall and divisional health-improvement practice degree, this researcher has analyzed it using Person's correlation coefficient. Self-realization, responsibility for health, athletic activities, nutrition, support for personal relations, and stress management show significant correlation with the sub-divisions, while all health-improvement lifestyle shows significant correlation with the six sub-divisions.

• Journal of Korean Academy of Nursing
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• v.37 no.6
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• pp.932-940
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• 2007

Purpose: This study was performed to measure expectations regarding aging among community-residing older adults, identify sociodemographic characteristics associated with the level of expectations regarding aging, and examine whether expectations regarding aging were associated with health-promoting behaviors. Methods: Data was collected by using questionnaires of a short version of the Expectations Regarding Aging Survey (ERA-18) and Health Promoting Lifestyle Profile II (HPLP II) from 99 older adults who resided in the community of Kyunggi, Daegu, and Kyungpook province. Results: More than 75% of the participants reported that it was an expected part of aging to have more aches and pains, to become depressed, and to become more forgetful. The mean score of expectations regarding aging was $23.15{\pm}17.80$ (possible range 0-100). The old-old, women, those with less education, less monthly allowance and poor health status had lower expectations regarding aging than other elderly. After controlling for sociodemographic characteristics and perceived health, expectations regarding aging were independently associated with health-promoting behaviors in older adults. Conclusion: The findings demonstrate that older Korean adults have low expectations regarding aging, and expectations regarding aging influence health-promoting behaviors.

• Journal of Korean Public Health Nursing
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• v.9 no.2
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• pp.80-91
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• 1995

This Study was conducted to describe relatioship between health promoting behaviors and Self-efficacy of 427 Students during the period form June 1. 1994 to June 30. 1994. The research Scale used Kim and Choe's (994) that was modified Sheredr and Maddux's (1982) Self-efficacy measurement scale. Data was. analysed by SPSS-PC program. and reavealed to percentage. t-value. F-value and Pearson's correlation coefficency. 1. The general characteristics of subjects was that men $55\%$. average age 22.5years old. There are the most highest destribution in religion. abscence $52.2\%$. and in residence. own house $49.9\%$ There are 129 subjects $(30.2\%)$ regularity exerciseed now. and 46 subjects $(35.7\%)$ exercise time was above 30 mins below 1 hour. There are 78 subjects $(60.5\%)$ above 4 times per weeks the most highest distribution in exercise times. 2. Health promoting behaviors score of subjects was 94.287 (2.548) and self-efficacy was 967.63 (69.12) 3. There are statistically significant difference in health promoting behavior score according to sex. sibling number. residence place (p<.05). In the subconcept of health promotion lifestyle profile (HPLP). there was the more higher score in men than women for self actualization (t=2. 67. p=.008). exercise(t=5.92. p=.000). There are statistically significant difference in nutrition according to sibling number (F=3.05. p=0.01). resident place (F=2.93. p=0.02). and in interpersonal support according to religion (F=2.88. p=0.02). 4. In the Self-efficacy score. there was statistically significant difference according to sex (t= 5.88. p=.000). 5. There was postive correlation between health promoting behavior and self-efficacy (r=.43. p=.000). On the basis of this result. I hope that develp Korean type health promoting behavior scale to understand health promotion for people. and nursing intervention method to improve health promoting behavior through increasment of Self-efficacy.

• Research in Community and Public Health Nursing
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• v.20 no.1
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• pp.75-86
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• 2009

Purpose: This study has a purpose to suggest research and intervention directions for health promoting behaviors (HPB) of the Korean middle-aged in the future. Methods: Forty four articles on HPB of the Korean middle-aged were reviewed and analyzed. The articles analyzed are theses written for a doctoral or master's degree and published between 1995 and 2007. Results: 1. As for the major characteristics of the subject groups, most of them were between 40 and 60 years old (61.4%), were females (79.5%), and resided in cities (84.1%). 2. The dependent variables adopted were physiological, psychological and cognitive factors (self-efficacy, knowledge of health management, etc.), HPB and factors related to Health Promoting Lifestyle Profile (HPLP). 3. The average scores of HPLP were $1.57{\sim}3.08$ on a 4-point scale. The highest score was observed in self-actualization, and the lowest score in exercise. 4. Self-efficacy, perceived health status and income had significant correlations with HPB. 5. In regression analysis, self-efficacy, self-esteem and perceived health status were the most powerful predictors. Conclusion: It is necessary to develop intervention tools for more diverse HPB of the Korean middle-aged. The interventions are recommended to focus on increasing exercise and to use strategies for improving self-efficacy and self-esteem.

• Journal of the Korean Society of School Health
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• v.32 no.3
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• pp.165-174
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• 2019

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.

• Research in Community and Public Health Nursing
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• v.14 no.2
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• pp.232-241
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• 2003

Purpose: To investigate the factors influencing health promoting behavior in college students and to provide a basic data for developing an effective health promotion program. Method: The subjects were 711 college students living in Jecheon city and were selected using a convenience sampling method. The instruments used in this study included the Health Promoting Lifestyle Profile developed by Walker et al.(987). Perceived Health Status developed by Lawston et al. (1982). Self-Esteem scale developed by Rosenberg(1965), Self-Efficacy scale developed by Becker et al. (1993), and Health Locus of Control developed by Wallston et a1.(1978). The data were analyzed by descriptive statistics, pearson correlation coefficient, and stepwise multiple regression using SPSS/WIN program. Results: I) The mean score of health promoting behavior was 2.39 point out of 4. In terms of sub-domains of health promoting behavior, self-actualization(2.78) showed the highest mean score, followed by interpersonal support(2.75), stress management(2.38), nutrition(2.11), exercise(2.04), and health responsibility (1.97). 2) The health promoting behavior had significantly positive correlations with self-efficacy, powerful others health locus of control, internal health locus of control, chance health locus of control, and perceived health status. 3) In the relationship between general characteristics and health promoting behavior, health promoting behavior was significantly different by gender(t=2.17, p=.03), and financial status of parents (F=10.79. p= .00). 4) The most powerful predictor of health promoting behavior was self-efficacy. A combination of self-efficacy, self-esteem, powerful others health locus of control, and sex accounted for 40.4% of the total variance in health promoting behavior. Conclusion: The findings of this study showed that health responsibility and exercise were the domains where the college student showed relatively lower scores than other domains, self-efficacy was the most important predictor of health promoting behavior. Therefore, it is suggested that health promoting programs should focus on health responsibility, and exercise. Nursing strategies that can enhance self-efficacy should also be developed in order to promote healthy lifestyles in college students.

• Journal of East-West Nursing Research
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• v.14 no.1
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• pp.56-67
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• 2008

Purpose: This study was a descriptive survey study to examine the degrees of the health perception, health knowledge, and health promoting behavior in the elderly, and the relationship among the above factors. Methods: Subjects were 183 persons with the age over 65 years living in Seoul. Measures were Health Perception Questionnaire (HPQ) developed by Ware (1979), the health knowledge instrument developed by Ha Gwi-Yeom (2005), and the Health Promotion Lifestyle Profile (HPLP) developed by Walker, Sechrist & Pender (1987) and modified by Hong Young-Ae (2003). Data were collected from March 4 to April 12, 2007. Data were analyzed by frequency, percentage, mean, standard deviation, t-test, ANOVA, Pearson's correlation using the SPSS program. Results: The mean level of health perception was 2.71(${\pm}0.77$), the mean level of health knowledge was 7.10(${\pm}1.82$), and the mean level of health promoting behavior $2.72{\pm}0.86$. Health promoting behavior showed a positive correlation with health perception (r=.715) and health knowledge (r=.543), and a positive relation was observed between health perception and health knowledge (r=.526). Conclusion: The enhancement of health perception and health knowledge are needed to improve health promoting behavior of the elderly. Also, the general characteristics of elderly should be considered to improve health promoting behavior of elderly.

• Korean journal of health promotion
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• v.18 no.4
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• pp.159-168
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• 2018

Background: Strategically improving health-related quality of life (HRQOL) should be discussed among overweight middle-aged women who are vulnerable to low HRQOL. We examined firstly if overweight middle-aged women would have significantly lower levels of HRQOL and health-promoting behaviors than normal-weight middle-aged women, and to examine secondly if health-promoting behaviors would be significantly associated with generic and obesity-specific HRQOLs within the overweight middle-aged women. Methods: We conducted a cross-sectional, comparative study. Participants were 119 women aged 30-49 years who were recruited from a community in Seoul, South Korea; 63 women for the overweight group who were recruited from a baseline sample of the Community-Based Heart and Weight Management Trial, while 56 for the normal-weight group who were recruited separetely. Health Promoting Lifestyle Profile II (HPLP II), World Health Organization Quality of Life-brief version (WHOQOL-BREF) of a generic HRQOL measure, and Impact of Weight on Quality of Life-Lite (IWQOL-Lite) of an obesity-specific HRQOL measure were used. Results: Compared to the normal-weight group, the overweight group showed significantly lower scores of total WHOQOL-BREF as well as some HPLP II subscales including stress management (P=0.029). Among the HPLP II subscales, stress management was significantly and positively associated with total WHOQOL-BREF (${\beta}=1.58$, P=0.003) and self-esteem IWQOL-Lite (${\beta}=11.58$, P=0.034) among the overweight group. Conclusions: Among middle-aged overweight women, low levels of health-promoting behavior for stress management were shown, which should be strategically increased for improving their generic and obesity-specific HRQOLs.