• Women's Health Nursing
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• v.7 no.3
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• pp.317-330
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• 2001

This study was undertaken in order to examine the relationship of control, perceived health status, self efficacy, social support, and demographic characteristics to health promoting lifestyle of nursing students, and to determine factors affecting health promoting lifestyle of nursing students. The subjects were 270 students of a single university in Busan. The instruments used for this study was a survey of general characteristics, health promoting lifestyle (47 items), control(8 items), perceived health status(6 items), self-efficacy(17 items), and social support(18 items). Data analysis was done by use of mean, percentage, t-test, ANOVA, Pearson Correlation coefficients and stepwise regression with a SPSS PC+ program. The results of this study are as follows : 1) The average item score for the health promoting lifestyle was less than 2.43. In the sub-categories, the highest degree of performance was interpersonal relationships (2.94) and the lowest degree was health responsibility(1.93). 2) Students who were older and higher scores in health responsibility and interpersonal support subscale. Students who had higher grade had higher scores in health support subscale. Students who had experienced disease had higher scores in health responsibility subscale. Students who had experienced exercise had higher scores in health responsibility, exercise and nutrition subscale. 3) Significant correlation between control and self-efficacy, self-efficacy and social support was found. 4) Significant correlations was found between most of the subscales and total health promoting lifestyle. 5) Social support revealed significant correlations with total health promoting lifestyle and all subscales of health promoting lifestyle. Control revealed significant correlations with total health promoting lifestyle and self actualization and health responsibility. Perceived health status revealed significant correlations only with the exercise and nutrition subscale. Self-efficacy revealed significant correlation with the total health promoting lifestyle and all subscales of health promoting lifestyle except exercise and nutrition, stress management subscale. 6) Social support was the highest factor predicting health promoting lifestyles of nursing students(31%). Social support, excercise self-efficacy and control accounted for 35% in health promoting lifestyle of nursing students.

• Korean Journal of Occupational Health Nursing
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• v.21 no.1
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• pp.37-45
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• 2012

Purpose: This study was conducted to identify health promotion lifestyle (HPL), farmers' syndrome and related factors of workers in agricultural industry. Methods: A total of 454 agricultural workers were selected through convenient sampling. Data were collected from July 1 to August 10, 2009. Data analysis included frequency, t-test, ANOVA, Scheff$\acute{e}$ test, and stepwise multiple regression using SPSS/WIN 17.0. Results: 1. The mean score of HPL was 3.30 and the prevalence of farmers' syndrome was 29.3%. 2. Analysis of farmers' syndrome showed there were statistically significant differences for gender, age, sleeping time, perceived health status, breakfast and exercise. 3. Gender, age, perceived health status, breakfast and exercise were identified as variables influencing the farmers' syndrome. Conclusion: This study suggested that we should develop health promotion programs for workers of agricultural industry considering these results.

• Journal of the Korean Society of School Health
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• v.19 no.1
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• pp.67-78
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• 2006

Purporse : The purpose of this study was to examine the relationship between a health promoting lifestyle and body composition in university students. The study subjects were 194 university students who attended K-university located in Chungnam. Methods : The data was collected between March 2 and May 31, 2004. The instrument used for this study was the modified Health Promoting Lifestyle Profile(HPLP) developed by Walker, Sechrist, & Pender(1987). The body composition was measured by In Body 3.0, a Bioelectrical Impedance Analyzer. The data was analyzed using the SPSS/WIN 10.0 program by t-test, ANOVA and pearson correlation coefficients. Results : The results of this study are as follows: 1) The scores of the Health Promoting Lifestyle(HPL) ranged from 79 to 170, with a mean score of 110(±15.8). The mean scores of sub-categorical HPL were self-actualization 31.8(±4.9), health responsibility 17.0(±4.0), exercise 8.3(±3.2), nutrition 15.4(±3.7), interpersonal relationships 20.3(±3.5) and stress management 17.2(±3.4). 2) The HPL according to the subjects' general characteristics had significant correlation to exercise amount(F=8.09, p＜.01), drinking amount(F=6.56, p＜.01), perceived health status(F=19.2, p＜.01) and perceived health knowledge (F=15.9, p＜.01). 3) The total HPL did not significantly correlate with any categories in body composition. The exercise area of sub-categorical HPL had significant positive correlation to height (r=.199, p＜.01), weight(r=.181, p＜.05) and soft lean mass(r=.257, p＜.01), and negative correlation to percent body fat(r=-.255, p＜.01) in body composition. Conclusion : The results suggest that the exercise area of sub-categorical HPL was an important variable for an exercise program's development such as nursing intervention for the health promotion of university students.

• Journal of Preventive Medicine and Public Health
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• v.30 no.1 s.56
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• pp.181-193
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• 1997

The purpose of this study was to identify population subgroups with similar patterns of diet quality, physical activity, alcohol consumption and cigarette smoking of Korean. The cluster analysis was conducted using the data from Korea National Health Survey(KNHS) in 1995, which consisted of 5,805 persons. We identified six health behavior typologies : 32.9% of the sample had a good diet but sedentary activity level(good diet lifestyle), 7.2% had high activity level but less diet quality(fitness lifestyle). Individuals in the passive lifestyle cluster(39.1%) had no active health promoting activities but tended to avoid risk taking health behavior such as cigarette smoking and alcohol drinking. 1.1% of the sample were in a drinking cluster, 17.2% in a smoking cluster and 2.5% had a hedonic lifestyle characterized by heavy drinking and smoking. The other characteristics of these lifestyle clusters could be presented by demographic and socioeconomic factors.

• Journal of Korean Academy of Nursing
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• v.23 no.4
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• pp.585-601
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• 1993

Data on 63 patients who had had motorcycle accidents and who were admitted to four general hospitals in the Chung Chung Nam Do area from July / 1993 to August 1993 were analyzed. The tool used for this study was a structured questionnaire which consisted of ten items on self- esteem, 18 items on health locus of control and 37 items profiling health prometion lifestyle. Injury severity scores were calculated bated based on data from the patients’ medical records. The collected data were analyzed using the SPSS, yielding descriptive statistics, t-test, ANOVA, Pearson’s Product Moment Correlation. The findings of this study are as follows. 1) Of the 63 injured motorcyclists, 35(55.6%) were helmeted and 28(44.4%) were nonhelmeted, and the nonhelmeted motorcyclists were predominantly young and male. The demographic variables for the helmeted and nonhelmeted groups were heterogeneous for age and occupation. 2) The results of the comparison between the two groups showed a statistically significant difference in the injury severity score(t=-4.70, p=0.000). The helmeted group had lower scores on injury severity score (9.00±3.93) than the nonhelmeted group(14.32土5.05). More than 60% of the nonhelmeted motorcyclists had brain injuries compared to only a third of the helmeted cyclists. 3) There .was a statistically significant difference between the two groups on self esteem(t=4.5, 000). The helmeted group had a higher mean score (31.27±2.72) than the nonhelmeted group(27.46±3.80). 4) The means for Internal health locus of control (IHLC), Powerful others health locus of control (PHLC), and Chance health locus of control (CHLC) in the two groups were similar to instrument norms reported in other literature. The mean scores on the IHLC in the two groups were higher than scores on the PHLC or the CHLC. However, there was a significant difference between the mean scores for the two groups on the PHLC (t=2.85, P=0.006). 5) The mean score for the helmeted group on the health promotion lifestyle profile was higher than the mean score for the nonhelmeted group(107.30±11.10, 96.57土 15.54 respectively), and there was a significant difference between the mean scores (t=3.64, p=0.001) . The highest score for helmeted group on the health promotion lifestyle profile was in the health care domain. However, for the nonhelmeted group the highest score was in the exercise domain and the lowest score was in the health care domain. 6) With regard to the relationship between health promotion lifestyle, health locus of control and self esteem in the two groups, the correlation coefficient between health promotion lifestyle and internal health locus of control for the helmeted group was 50(p〈0.01). For the nonhelmeted group, there was no correlation between health promotion lifestyle and internal health locus of control. However, there were significant correlation between health pro-motion lifestyle and external locus of control(r=0. 46, p〈0.01), and self esteem(r=0.495, p〈0.01). 7) Among the demographic variables, age and education had an impact on individual’s self-esteem The modifying factors of age made a contribution to explaining health - promoting lifestyle. In the present study, more than 40% rf the motorcyclists were riding without a helmet. The incidence of brain injury for patients riding without a helmet was nearly twice as high in the nonhelmeted rider as compared to the helmeted rider. The nonhelmeted motorcyclists in this study had lower self-esteem, obtained a higher score on the IHLC, and were not strongly engaged in performing health promotion activities as compared to the helmeted riders. However, some of the nonhelmeted riders who had a strong belief in PHLC were positively associated with engaging in health promotion activities. Based on the results obtained from this study, strategies to promote helmet usage for motorcyclists have to be developed.

• Journal of Korean Academy of Nursing
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• v.36 no.3
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• pp.475-483
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• 2006

Purpose: The goal of this study was to investigate the factors influencing health promoting behaviors in elderly individuals according to types of residency. Method: This was a descriptive study. The subjects were comprised of 243 elderly aged 65 years or over living in 3 large cities. The instruments used for this study were a health promoting lifestyle, perceived health status, geriatric depression short form scale-Korea, social support scale, and self-efficacy. The data was analyzed using SPSS Win 12.0. Result: Powerful predictors of a health promoting lifestyle were depression, self-efficacy, and perceived health status for the elderly living at home. In the cases of the elderly living in institutions, a powerful predictor of a health promoting lifestyle was identified as social support. Conclusion: For the operation of long-term care insurance, a service for home care programs is needed for the elderly living at home in order to reduce depression and to increase self-efficacy and perceived health status. In addition, social support provided by health-care professionals should be developed to promote a healthy lifestyle for the elderly living in institutional environments.

• Korean Journal of Health Education and Promotion
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• v.26 no.3
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• pp.75-83
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• 2009

Objectives: This study aims to examine if the follow-up management service by National Health Insurance (NHI) for obesity persons leads to significant modification of the lifestyle and change of health status. Methods: Of persons who underwent health screening and were classified as obesity after periodic health screening by NHI in 2004, persons who took the follow-up management service were selected as case group and persons who took no service were selected as control group. The DW database of NHI was used to explore the effect of the follow-up management service on the modification of lifestyle and health status. Chi-square tests and t-tests, pairs t-tests were conducted with SAS 9.1 to examine the differences of health promotion effect between case vs. control group. Results: It was shows that of lifestyle behaviors, only exercise is significantly improved for case group compared with control group as the effect of the follow-up management service by NHI (2.11%p) (p=0.0435). Further, morbidity rate for control group was 2.05% higher than that of case group (p=0.0002). These results indicate that persons who received the follow-up management service better maintained their health significantly than persons who did not. Conclusion: The present study shows that the appropriate follow-up management services need to be provided for maximaizing potential effect of periodic health screening by NHI.

• Research in Community and Public Health Nursing
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• v.13 no.2
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• pp.292-305
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• 2002

Purpose: The purpose of this study was to conduct a systematic assessment on the level of health status, and quality of life of the health care beneficiaries registered in health management programs of public health centers. In order to investigate the level of health status and the quality of life and to find factors affecting them, the PRECEDE model, that was developed by Green, et al. for the purpose of a comprehensive diagnostic research, was used. Method: The subjects were 81 residents who resided K-gu, Seoul. Data were collected from September, 1999 to August, 2000 using a self reported questionnaire. The data were analyzed by descriptive statistics, t-test, Kruskall-Wallis test, Pearson's correlation coefficient. and path analysis. Results: 1. The quality of life and the level of health promoting lifestyle were moderate or more, but were not significantly different by sex, age, marital status, educational level. occupation, and monthly household income. 2. Self-efficacy was significantly correlated to be a perceived benefit, social support and health-promoting lifestyle. Perceived benefit had a significant correlation with social support and health promoting lifestyle. There was also a significant correlation between the level of satisfaction, and the availability of the health promotion program. 3. Social support, health promoting lifestyle, and health status were found to influence the quality of life directly, whereas self efficacy and perceived benefit affected the quality of life indirectly through social support. Conclusion: The results of this study suggest that the health promotion program should include strategies to strengthen self efficacy and perceived benefit to enhance social support, and to encourage health promoting behaviors in order to improve the quality of life of the health care beneficiary.

• Korean Journal of Health Education and Promotion
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• v.32 no.4
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• pp.37-46
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• 2015

Objectives: This study was conducted to expand evidence-base for the effectiveness of lifestyle intervention programs to prevent the onset of diabetes and cardiovascular diseases. Methods: Seven intervention studies between 2006 and 2014 at Korea Association of Health Promotion were analyzed. All the studies were randomized controlled trials(RCTs) and included multi-component behavioral interventions. The participants of the programs were 2,172 adults with risk factors regarding metabolic syndrome criteria. The proportions of normalized participants were compared within and across the studies using odds ratio effect sizes. Results: The reductions in the prevalence of metabolic syndrome were from 49.6% to 65.1% in intervention groups, and from 38.7% to 52.3% in comparison groups. Significant differences in effectiveness between groups were found in two studies, one in 2006 with odds ratio of 1.69(p<0.01) and another in 2009 with odds ratio of 2.36(p<0.001). Proportions of normalized participants were higher in blood pressure(31.9% to 52.5% in the intervention groups and 23.0% to 43.3% in comparison groups) than other risk factors. Abdominal obesity showed weakest improvement after the intervention in both groups. Conclusions: Lifestyle modification program is an effective method to reduce diabetes and cardiovascular risks in adults by decreasing the prevalence of metabolic syndrome and its components.

• Research in Community and Public Health Nursing
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• v.17 no.4
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• pp.530-541
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• 2006

Purpose: This study attempts to understand workers' need for health promotion programs in their workplace and factors influencing the need. Method: The subjects of this study were 1,626 workers employed at Korean enterprises throughout the country. The instrument was composed with the '2001 National Heal Nutrition Survey.' Data were analyzed using SAS 8.12 by applying $x^2$ and multivariate logistic regression. Results: Need for stress management programs was highest. The need for stress management programs was affected by career and exercise, and the need for exercise programs by marital status and exercise. In addition, the need for alcohol management programs was affected by regular diet, and the need for fatigue prevention programs by fatigue, and the need for non-smoking programs by health status and regular diet. Conclusion: Workers' need for health promotion is related to their health lifestyle, so it is necessary to study various health promotion methods and develop concentrated intervention programs in order to promote health lifestyle.