• Korean Journal of Adult Nursing
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• v.27 no.3
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• pp.294-303
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• 2015

Purpose: The purpose of this study was to determine the relationships among health locus of control, resilience, social support, and health promoting behavior in patients with coronary artery diseases. Methods: This study utilized a descriptive correlational design using a survey method. The subjects were 165 coronary artery disease patients at the cardiology out-patient clinic of the C university hospital. Data were collected through Health Locus of Control Scale, Resilience Scale, ENRICHD Social Support Instrument, Health Promoting Lifestyle Profile scale. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and hierarchial regression. Results: There were significant positive bivariate correlations of health promoting behavior with internal health locus of control, doctors health locus of control, resilience and social support respectively, and correlation between resilience and social support. Among predictors, internal health locus of control (${\beta}$=.28), social support (${\beta}$=.28) and resilience (${\beta}$=.25) had statistically significant influences on health promoting behavior. Conclusion: These results proposed that internal health locus of control, social support and resilience have important influences on health promoting behavior. Nursing interventions to enhance internal health locus of control, resilience and social support might be essential for patients with coronary artery disease in order to promote their health behaviors.

• Research in Community and Public Health Nursing
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• v.27 no.3
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• pp.202-212
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• 2016

Purpose: The purpose of this study is to examine the association of family support, self-efficacy, health literacy and perceived health status with health-promoting behavior (HPB) in married immigrant women. Methods: A cross-sectional based survey was conducted to collect data from married immigrant women living in Gyeongsang province. Questionnaires included Health promoting lifestyle profile II, General self - efficacy scale, Korean Health literacy assessment and perceived health status. Results: 157 subjects participated in the study (mean age, $30.47{\pm}6.83$). Their duration of living in Korea was $63.05{\pm}50.11$ months. Of the participants, 59.2% were Vietnamese. The level of HPB, perceived health status, health literacy, support of family and self-efficacy were $2.58{\pm}0.42$, $3.39{\pm}0.86$, $25.12{\pm}20.99$, $3.83{\pm}0.70$ and $3.61{\pm}0.53$ respectively. Factors affecting the HPB of the participants were support from family (${\beta}=.45$, p<.001) and self-efficacy (${\beta}=.16$, p<.05). The explanatory power of these two variables was 34.2%. Conclusion: This study suggests that the factors influencing the HPB of married immigrant women include support from family and self-efficacy. A variety of programs should be provided for families so that they can support those women to help them increase their HPB. It is recommended that more various programs be provided to increase their self- efficacy.

• Journal of Preventive Medicine and Public Health
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• v.54 no.4
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• pp.275-283
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• 2021

Objectives: The workplace is an ideal place for encouraging health-promoting behaviors. Therefore, the aim of the present study was to determine the effect of an empowerment program on the health-promoting behaviors of women workers. Methods: This randomized clinical trial was conducted with 80 women workers employed at a food packaging facility in 2020. The subjects were selected using convenience sampling and were classified into intervention and control groups using block randomization. An empowerment program for women workers was conducted across 6 sessions based on an empowerment model. Data collection tools included a demographic questionnaire and the Health Promoting Lifestyle Profile-II, which participants completed both before the program and 8 weeks after the last session. Data analysis was performed in SPSS version 16 using descriptive analysis and inferential statistics. Results: There were no significant differences between the 2 groups in various health-promoting behaviors before the program. However, the intervention group's scores for nutrition (34.92±1.09 vs. 27.87±4.23), physical activity (24.40±2.94 vs. 17.40±5.03), stress management (26.35±2.60 vs. 23.05±4.27), spiritual growth (34.02±3.00 vs. 30.22±5.40), interpersonal relationships (30.82±2.38 vs. 27.60±4.61), and health responsibility (31.60±2.71 vs. 28.22±4.59) were significantly higher than the control group's 8 weeks after the program had ended. Moreover, there was a significant difference in the total score of health-promoting behaviors for the intervention group compared to the control group (179.00±9.22 vs. 151.42±20.25, p=0.001). Conclusions: An empowerment program for women workers led to significant improvements in the health-promoting behaviors of the participants. Similar programs can ultimately improve women's health in the workplace.

• Women's Health Nursing
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• v.8 no.3
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• pp.358-370
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• 2002

The purpose of this study was to investigate the relationship between college women's resourcefulness and health promoting behaviors. The subjects were 215 college women students who were non-married and ranged in grade from 1 to 4. Data was collected from Nov. 1 to Nov. 30, 2001 by a structured questionnaires. The instruments, which were modified by researcher and used for this study, were the revised Health Promotion Lifestyle Profile (HPLP) developed by Walker, Sechrist and Pender(1987), the Resourcefulness developed by Rosenbaum(1980) and the general characteristic scale developed by the researcher. The data were analyzed by the SPSS/PC+ program using t-test, ANOVA, Pearson Correlation Coefficient and stepwise multiple regression. The results were as follows : 1. The mean score of resourcefulness was 109.29(range:$36\sim180$). 2.There were statistically significant difference in the score of resourcefulness according to the grade(F=2.889, P=.037) and drinking(t=-3.264, P=.002). 3.The mean score of health promoting behaviors was 107.21(range: 44~176). 4.There were statistically significant difference in the score of the health promoting behaviors according to the grade(F=.141, P=.039), smoking(t=-3.314, P=.008) and drinking (t=-4.091, P=.000). 5. College women's degree of resourcefulness showed a positive correlation with the degree of health promoting behavior (r=.573, P=.000). 6. By means of multiple regression analysis, the resourcefulness provided explained 32.9% of health promoting behavior. In conclusion, the resourcefulness should be considered when developing nursing strategies for college women, especially when dealing with the health promoting behaviors. The recommendations from this study necessitate of further studies to investigate how smoking and drinking have an effect on the health promoting behaviors.

• Korean Journal of Adult Nursing
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• v.12 no.1
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• pp.112-121
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• 2000

The purpose of this study was to define the degree of the resourcefulness and the health-promoting behavior of cancer patients, to identify the relationship between the resourcefulness and the health promoting behaviors and to provide the basis for strategic nursing intervention. This study was conducted by an exploratory survey. Data were collected by self-reported questionnaires from 97 cancer patients in a university hospital in Tae-Gu from September to December of 1998. The sample data were collected by using a convenient sampling method. The following instruments were used in the study after some adaptation : Park Chai Soon's Health Promoting Lifestyle Profile, Oh Pok Ja's instrument for health promotion behavior and the Rosenbaum self-control schedule(SCS). The reliability of instruments was tested with Chronbach'alph(.79-.89). Data was analyzed by using the SAS program. T-test, ANOVA, and Pearson's coefficients of correlation. The results of this study were as follows: First, the average score of the resourcefulness variable was 22.20; the range of the score was from -30 to +81 The average score of the performance in the health promoting behavior variable was 96.13; the range of the score was from 39 to 137 Second, the resourcefulness variable was significantly different from such demographic factors as gender and perceived health status, but there was no statistically significant difference between the demographic factors and the health promoting behavior variable, except that of perceived health status. Third, the performance in health promoting behavior of cancer patients was significantly correlated with the resourcefulness of cancer patients(r= .50) In conclusion, resourcefulness was identified to be an important variable that could contribute to promote health-promoting behavior.

• Research in Community and Public Health Nursing
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• v.5 no.1
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• pp.81-96
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• 1994

The primary purpose of this study was to identify factors affecting health promoting lifestyles of college students on the basis of Pender's Health Promotion Model. The subjects were 1,159 students of one university in Seoul. These data were collected by self reporting questionnaire from April 19 to May 3, 1993. This study examined health promoting lifestyles, cognitive-percep-tual factors: perceived health status, perceived importance of health, health locus of control, and health conception, and modifying factors: sex, grade, major, residence type, and attendance at a health care course. The instruments used in this study were Health Promoting Lifestyle Profile by Walker et al. (1987), Health Value Scale by Wallston et al. (1976), Health Locus of Control by Wallston et al. (1978), and Health Conception Scale by Laffrey(1986). The data were analyzed by Cronbach's $\alpha$, mean, standard deviation, percentage, t-test, ANOVA, Pearson's Correlation Coefficient, and Stepwise Multiple Regression with SPSS PC+ Program. The results were as follows : 1. The means of health promoting lifestyles revealed total 3.33, self actualization 3.74, health responsibility 2.72, exercise 2.80, nutrition 3.55, interpersonal surpport 3.76, and stress management 2.96. Interpersonal support showed the highest score and health responsibility showed the lowest score. 2. No significant differences between sex, grade, major, and residence type, and health promoting lifestyles Were founded(p>.05). Attendants at a health care course showed a significant higher score than nonattendants (p<.001). Male showed a significant higher score in exercise subscale, female showed significant higher scores in health responsibility, nutrition, interpersonal support, stress management subscales(p<.001), residence type showed a significant difference in nutrition subscale(p<.001). 3. No significant differences between perceived health status and sex, grade, major, residence type, and attendance at a health care course were founded(p>.05). Perceived importance of health showed no differences among sex, grade, major, and residence type(p>.05), showed only in attendance at a health care course (p<.001). Attendants at a health care course showed a significant higher score than nonattendants(p<.001). No significant differences between health conception and sex, grade, major, and residence type were founded (p>.05), only significant difference between health conception and attendance at a health care course was founded(p<.05). Nonattendants showed a significant higher score in clinical health conception, attendants showed a significant higher score in wellbeing health conception(p<.05). 4. A significant positive correlation between health promoting lifestyles and perceived health status was founded(r=.2415, p<.001). A significant positive correlation between health promoting lifestyles and perceived importance of health was founded (r=.1475, p<.001). The health promoting lifestyles revealed significant positive correlations in internal and powerful others locus of control (r=.3187, p<.001: r=.1475, p<.001), but revealed a significant negative correlation in chance locus of control(r=-.997, p<.001). A significant positive correlation between health promoting lifestyles and clinical health conception and wellbeing health conception were founded (r=.1241, p<.001 : r=.3047, p<.001). 5. Perceived health status was the highest factor predicting health promoting lifestyles of college students(R=.3415, $R^2=11.62$). Perceived health' status, perceived improtance of health, internal locus of control, wellbeing health conception, powerful others locus of control accounted for 28.19% in health promoting lifestyle patterns. In conclusion, college students who reported more helath promoting lifestyles evaluated their health positively, perceived importance of health highly, perceived their health as affected by theirselves, powerful others but not by chance or luck, and accepted health as high level wellness rather than merely the absence of illness. Those who attending at a health care course had healthier lifestyle patterns. And attendance at a health care course had significant. correlations in these cognitive-perceptual factors. Further studies are required to identify reasons of attending a health care course, and to compare health promoting lifestyles pre-post attending a course related to health care.

• Journal of Korean Academy of Nursing
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• v.29 no.2
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• pp.225-237
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• 1999

The purpose of this study was to analyze the relationship among the health promoting behaviors, self-reported climacteric symptoms and depression on a cross-sectional survey desist The subjects were 108 middle-aged women who were nonhystrectomized and ranged in age from 40 to 60. They were selected in Seoul and Kyoung-ki province. Korea. Data were collected from Oct. 25 to Nov. 10, 1997 by a structured Questionnaire. The instrument used for this study was the revised Health Promotion Lifestyle Profile(HPLP) developed by Walker, Sechrist and Pender, revised Climacteric Symptoms Scale developed by Chi, Sung Ai, and the Beck's Depression Inventory(BID). The data were analyzed by the SPSS /PC$^{＋}$ program using t-test, ANOVA and Scheffe test as a post hoc and Pearson Correlation Coefficient. The results of the study were as follows ; 1. The mean score of health promoting behaviors was low(2.42$\pm$0.35). There were statistically significant difference in the score of health promoting behaviors according to the educational background. family income, marital satisfaction, and whether or not taking a restoraitve food(t ＝－2.07, F＝2.60~7.57, p＜0.05). 2. The mean score of self-reported climacteric symptoms was 1.69 ; 99% of middle-aged women had symptoms. There were statistically significant difference in the score of middle-aged women's self-reported climacteric symptoms according to the age, number of children, educational background, occupation, family income, marital satisfaction, whether or not receiving hormone replacement therapy(HRT) or consultation experience with a professional, and perceived health status(t＝－2.04~3.69. F＝2.87~11.63, p＜0.05). 3. The mean score of depression was 10.84. There were statistically significant differences in the score of the depression according to the age, number of children, educational background, occupation, marital satisfaction, whether or not receiving menopausal treatment or consultation by a professional, and perceived health status(t ＝－2.25~3.00, F＝3.50~9.24, p＜0.05). 4. Women's degree of health promoting behaviors was a negative correlation with the degree of climacteric symptoms(r＝－0.19, p＝0.03) and the degree of depression(r＝－0.23, p＝0.01). The degree of climacteric stmptoms was a positive correlation with the degree of depression(r＝0.64 p＝0.01). In conclusion. health promoting behavior should be considered when developing nursing strategies for middle-aged women. especially when dealing with climacteric symptoms and depression.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5317-5325
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• 2012

The purpose of this study was to estimate the prevalence of metabolic syndrome and determine the distribution of the clustering of the metabolic risk factors, and we wanted to evaluated the related factors in urban areas. 1,388 adults of 30 years and over, not recognized as taking medicines for or having cardiovascular diseases, who underwent health package check-up at the health promotion center of a university hospital. All subjects were measured by height, weight, waist circumference, blood pressure and blood chemistry(lipid profile). As a results, the prevalence rates of metabolic syndrome of study subjects were 21.7%, and the rates of metabolic risk factors were HDL-C, blood pressure, TG, abdominal obesity and FBS in that order. And the factors such influencing on metabolic syndrome as age, BMI, smoking habits, vegetable consumption and family history of the diabetes. Consequently, it is suggested that the evaluation and intervention for lifestyle factors may be needed in order to the risk management of metabolic syndrome.

• Korean Journal of Occupational Health Nursing
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• v.8 no.1
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• pp.22-41
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• 1999

This study intended to analyze the health promoting behaviors, compare their factors according to the shift pattern of duties of women workers who were working in the industrial workplace and present basic data in planning systematic and effective programs of health promotion for three-shift system and day-duty. Using Quota Sampling, 219 women workers were selected as subjects from 5 workshops which had 50 settled workers up to 300 and 10 factories which had more than 300 located in Taegu and Kyung-Book Province. Data were collected by means of questionnaire from September 12 to September 30, 1998. As the instruments of the study were used Health Promotion Lifestyle Profile(HPLP) which was adapted and adjusted by Seo, Y. O. for health promoting behavior, the one developed by Moon, J. S. (1990) for health-belief, the one developed by Sherer et al.(1982) and then adapted by Oh, H. S. for self-efficacy, and the one developed by Park, J. W. (1985) for social support. The analysis of data were performed with Cronbach's ${\chi}^2$-test, t-test, ANCOVA, Kendal tau, Pearson correlation, Stepwise Multiple Regression test using SPSS program. The results of the study are as follows : 1. There was a significant difference in age(${\chi}^2=32.46$, p=0.000), career (${\chi}^2=18.47$, p=0.000), working day(t=-3.18, p=0.000) by the shift pattern of duties in terms of socio-demographic characteristics. 2. There was a statistically significant difference between the two groups on the health promoting behaviors (t=2,52, p=0.012). The score of three-shift group on health promoting behaviors was 2.27, showing that it was lower by .13 than that of day-duty group(2.40). 3. ANCOVA involving age, career and working day as covariables, which had revealed significant difference before, showed that health promoting behaviors by the shift patterns of duties was significantly different(F=4.88, p=0.028). 4. In consideration of variables that have an influence on health promoting behavior by the shift pattern of duties, social support occupied 19.4% of health promoting behavior in the three-shift group and 22.5% including the sense of self-efficacy. In the day-duty group, social support occupied 34.4% of health promoting behavior. 5. The score of three-shift group(2.94) was significantly lower than that of day-duty group(3.12) in the perceived benefit of health-belief(t= -3.29, p=0.001), while the score of three-shift group (2.48) was significantly higher than that of day-duty group(2.24) in the perceived barrier (t=4.22, p=0.000). In the sense of self-efficacy(t=-4.20, p=0.000), the score of three-shift group(3.24) was significantly lower than that of day-duty group(3.53) while in social support(t=-4.56, p=0.000) the one of three-shift group(2.64) was significantly lower than that of day-duty group(2.88). The suggestions are as follows on the basis of the results of this study : 1. It is required to develop health promoting program that takes the shift pattern of duties of women workers into consideration. In addition, there are special demands on developing nursing strategies for health promoting behavior of three-shift workers. 2. It is required to develop specific strategies for social support which is the most significant factor to the health promoting behavior for women workers. 3. It is necessary to develop some programs for improving the sense of self-efficacy, social support, and health-belief of three-shift workers. To achieve these tasks, industrial nurses should play an active role and improve the ability of self-health care of women workers.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7897-7907
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• 2014

Background: There is paucity of studies defining the prevalence of non-communicable disease (NCD) risk factors in Saudi Arabia despite the surging epidemic of obesity, change in dietary habits and sedentary lifestyle. Objectives: This cross-sectional study aimed to assess the prevalence of NCDs risk factors among employees at King Faisal University in Al Hassa, Saudi Arabia and to determine the possible correlates for clustering of NCDs risk factors among them. Materials and Methods: All employees were invited to participate; the World Health Organization STEPwise approach was used for data collection which consisted of a personal interview to collect socio-demographic characteristics, NCD history, tobacco use, vegetables and fruit consumption, and physical activity (PA), followed by anthropometric measurements namely weight, height and waist circumference and blood pressure measurements, subjects were finally subjected to biochemical tests with determination of fasting plasma glucose, serum triglycerides, cholesterol and high density lipoproteins. Results: Of the surveyed employees (n=691), daily current smokers accounted for 22.7%. 94.9%, 95.1% and 86% consumed < 5 servings per day of vegetables, fruits and both fruits and vegetables respectively, 73% were physically inactive, 64% were overweight or obese, 22.1% had hypertension, and 21.5% were diabetics. Elevated cholesterol levels were found in 36.6%, low high density lipoproteins in 36.8%, and elevated triglycerides in 36.1%. Only 3% had no NCD risk factors, and 57.6% had ${\geq}3$ factors. Multivariate logistic regression showed that gender (being male, adjusted odds ratio 'aOR'=1.51), aged ${\geq}50$ years (aOR=3.06), < college education (aOR=1.75), current smokers (aOR=2.37), being obese (aOR=6.96) and having a low PA level (aOR=4.59) were the significant positive predictors for clustering of NCD risk factors. Conclusions: Over fifty percent of the studied university's employees had multiple (${\geq}3$) NCD risk factors. Screening and health promotion initiatives should be launched at least targeting the modifiable factors to avert the excessive risk for cardiovascular disease, diabetes mellitus and several types of cancers.