• Korean Journal of Health Education and Promotion
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• v.31 no.4
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• pp.37-49
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• 2014

Objectives: The aim of this study was to evaluate the effects of a lifestyle modification program for Korean adults with cardiovascular disease risk factors on their health behaviors and health status. Methods: A total of 448 adults with abdominal obesity and additional cardiovascular disease risk factors(high blood pressure, low HDL-cholesterol, high triglyceride or high blood glucose) were randomly assigned to either an intensive intervention group (IIG, n=216) or a minimal intervention group(MIG, n=232). Participants in the IIG received lifestyle modification program which consisted of health counseling with nutrition assessment, health booklet and health diary, while those in MIG received minimal information. Results: The participants in the IIG significantly improved dietary habits(p<.05), retrained eating(p<.001), external eating(p<.01) behaviors, leisure time physical activity(p<.05), dietary self-efficacy(p<.01), exercise self-efficacy(p<.01) and MetS score(p<.001) after 3 months. In addition, the participants in the IIG showed more improvement in dietary habits(p<.05) compared with those in the MIG. Conclusion: The lifestyle modification program was effective in improving some health behaviors, behavioral determinants and cardiovascular risk factors for a short term.

• Journal of the Korean Society of Food Culture
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• v.23 no.3
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• pp.377-387
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• 2008

The objective of this study was to use cluster analysis to determine differences in eating-out behavior among grouped clusters of female consumers after each cluster was divided based on lifestyle patterns. The data were collected by interview survey from a biased sample of 1,300 females, ranging from ages 20 to 59, and living in residential districts of Seoul. Reliability analysis, factor analysis, cluster analysis, cross-tabulation analysis, and analysis of variance (ANOVA) were applied to the data. Four lifestyle factors were extracted by lower-division and classified as follows: health condition, consuming, food, and housing lifestyles. Based on these four factors, the female consumers were grouped as three clusters: the consuming-individuality type, rational-pursuit type, and conservative-stability type. The eating-out behavior of each cluster was significantly different in terms of frequency of eating-out, eating-out expenditures, restaurant selection criteria, food preferences, and the purpose for eating-out. Since this study surveyed females from ages 20 to 59, age and demographics were the differential factors in determining the various lifestyle types. Thus, to target the consumers who form a target market, the food industry should consider market segmentation that combines demographic factors such as age, income, and marital status.

• Journal of Korean Public Health Nursing
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• v.13 no.2
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• pp.183-201
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• 1999

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.

• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.307-319
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• 1999

The purpose of this study was to identify the major factors affecting performance in health promoting lifestyle of industrial workers. The subjects for this study 241 workers employed in S company in T city and were obtained by a convenience sample. Data were collected from March 2 to April 28. 1998. The collected data were analyzed using frequency. percent. mean. cronbach alpha. t-test. ANOVA. Person coefficients of correlation. Duncan test. stepwise multiple regression with an SPSS program. The results of this are summarized as follows. 1) The average score of performance in the health promoting lifestyle was 2.62. The variable with the highest degree of performance was harmonious relationship. whereas the one with the lowest degree was professional health maintenance. 2) Performance in the health promoting lifestyle was significantly correlated with self esteem, internal health locus of control and powerful others health locus of control. 3) Performance in the health promoting lifestyle was significantly correlated with such demographic variables as age. religion, education level. marital state. family number. types of dwelling. 4) The most important factor that affect performance in the health promoting lifestyle was powerful others health locus of control and self esteem. On the basis of this study. other factors affecting others health promoting lifestyle should be identified.

• Journal of Korean Public Health Nursing
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• v.25 no.1
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• pp.73-83
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• 2011

Purpose: The purpose of this study was to investigate factors affecting health promoting lifestyle in nursing students. Methods: A descriptive cross-sectional study was done using a convenient sampling (n=682) in a three-year nursing college. The health promoting lifestyle was measured by the instrument of Walker's and self esteem was measured by the instrument of Rosenberg's. Data were analyzed by descriptive statistics, chi-square test, oneway ANOVA and Stepwise multiple regression. Results: The average score of health promoting lifestyle was 2.34. The score of psycho-social well-being subscale was higher than that of health promoting behavior subscale. The highest score was on the interpersonal relations subscale, and the lowest score was on the physical activity subscale. The self-esteem, mental health status, satisfaction with school life, school year, perceived economic status, and gender accounted for 31.9% of the variance of health promoting lifestyle. Conclusion: Self-esteem was the most powerful influencing variable of the health promoting lifestyle, and physical activity was the lowest score of the health promoting lifestyle subscale. Therefor nursing educators should consider to include a health promotion program with increasing self esteem and physical activity in the nursing curriculum.

• Therapeutic Science for Rehabilitation
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• v.12 no.4
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• pp.111-122
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• 2023

Objective : To identify the effect of lifestyle risk factors on the daily activities and cognition of the older adults in the community using the National Health Insurance Corporation 2015 geriatric cohort database. Methods : Lifestyle risk factors were defined as body mass index (BMI), smoking, drinking, vigorous exercise, moderate exercise, and walking, and basic and instrumental activities of daily living (ADL) and cognitive function variables were included in the analysis. ADL and cognitive function according to sex and age were analyzed using a t-test and one-way ANOVA. The correlation between lifestyle risk factors, ADL, and cognitive function was analyzed using Pearson's correlation analysis, and multiple regression analysis was performed to analyze their influence. Results : The factors affecting basic ADL (BADL) were sex and walking exercises, with an explanatory power of 1.7%. Instrumental ADL (IADL) included age, drinking, and walking exercises, with an explanatory power of 2.6%. Cognitive function included sex, age, BMI, vigorous exercise, and walking, with an explanatory power of 5.3%. Conclusion : Lifestyle risk factors partially affected BADLs/IADLs and cognitive function in community-dwelling older adults. This suggests the need to systematically manage lifestyle risk factors to improve and maintain the healthy lives of older adults facing biological aging.

• Journal of Korean Academy of Nursing
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• v.27 no.3
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• pp.541-549
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• 1997

This study was done to describe health promoting lifestyle and determine affecting factors in elderly based on the Heath Promotion Model by Pender. Cognitive-perceptual factors that were included in this study were self-efficacy and hardiness. Modifying factors were demographic characteristics (sex, age, partner, previous illness, education level. income and religion). The specific purpose of this study was to examine the relationships of self-efficacy, hardiness and the demographic chasteristics to health promoting lifestyle and to determine causal factors affecting the elderly. The subjects were a volunteer sample of 98 elderly in one city in? The instruments for this study were Health Promoting Lifestyle Profile(47items, 4scale), Health Related Hardiness Scale(22i1ems, 6scale), general Self-Efficacy Scale(13i1ems, 5scale). Frequency, percentage, t-test, ANOVA, Pearson's correlation coefficient and Stepwise Multiple regression technique with SAS program were used to analyse the data. The Results of the study are as follows : 1) The average item score for the health promoting lifestyle was 2.63, the highest score on the subscales was interpersonal support (M=3.3), followed by self-actulization(M=2.9), nutrition(M=2.8), stress management(M=2.7), health responsibility(M=2.1) with the lowest bring exercise(M=2.0) 2) A significant difference between education level, income, religion and health promoting lifestyle were found. 3) All of the subscales on health promoting lifestyle were positively related to total hardiness (r=0.330, p<0.001). The hardiness subscale of control was positively related to self-actulization(r=0.276, p<0.01), and commitment was positively related to self-actualization(r=0.315, p<0.001), exercise /nutrition(r=0.245, p<0.01), interpersonal support(r=0.278, p<0.01), stress management(r=0.250, p<0.01). Challenge was positively related to self-actualization(r=0.315, p<0.001), exercise /nutrition(r=0.245, p<0.01). There was no significant correlation between self-efficacy and all of the subscales of health promoting lifestyle. Self-efficacy showed a significant correlation only with control(r=0.469, p<0.001), comittment(r=0.507, p<0.001), challenge (r=0.489, p< 0.001). 4) Comittment, self-efficacy and income explained 25.01% of the variance for the total health promoting lifestyle. The results of this study show that commitment, self efficacy and income predicted the health promoting lifestyle of the elderly. So health promoting programs that increase commitement and self-efficacy should be developed to promote a healthy lifestyle of the elderly, especially those who have low income.

• Journal of Preventive Medicine and Public Health
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• v.43 no.1
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• pp.73-83
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• 2010

Objectives: We investigated the clustering of selected lifestyle factors (cigarette smoking, heavy alcohol consumption, lack of physical exercise) and identified the population characteristics associated with increasing lifestyle risks. Methods: Data on lifestyle risk factors, sociodemographic characteristics, and history of chronic diseases were obtained from 7,694 individuals ${\geq}20$ years of age who participated in the 2005 Korea National Health and Nutrition Examination Survey (KNHANES). Clustering of lifestyle risks involved the observed prevalence of multiple risks and those expected from marginal exposure prevalence of the three selected risk factors. Prevalence odds ratio was adopted as a measurement of clustering. Multiple correspondence analysis, Kendall tau correlation, Man-Whitney analysis, and ordinal logistic regression analysis were conducted to identify variables increasing lifestyle risks. Results: In both men and women, increased lifestyle risks were associated with clustering of: (1) cigarette smoking and excessive alcohol consumption, and (2) smoking, excessive alcohol consumption, and lack of physical exercise. Patterns of clustering for physical exercise were different from those for cigarette smoking and alcohol consumption. The increased unhealthy clustering was found among men 20-64 years of age with mild or moderate stress, and among women 35-49 years of age who were never-married, with mild stress, and increased body mass index (>$30\;kg/m^2$). Conclusions: Addressing a lack of physical exercise considering individual characteristics including gender, age, employment activity, and stress levels should be a focus of health promotion efforts.

• Korean Journal of Health Education and Promotion
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• v.32 no.2
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• pp.15-26
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• 2015

Objectives: This study performed to analyze general characteristics, environmental factors, and health promoting lifestyle by smoking behavior among university students. Methods: In 2011, interview survey was conducted with 700 Korean students of university and college in located 7 metropolitan cities and the biggest province (Gyeonggido). To examine the factors related to smoking behavior, it collected environmental factors, health promoting lifestyle, and mental health. Multiple logistic regression analysis for survey data identified the difference of smoking behavior. Results: The 20.4% of university students was current smoker. Smoking rate of male was higher than that of female. The university students residing in Seoul and surrounding areas were less likely to have smoking behavior than them residing in local areas. In multiple regression models, difference by gender, academic year, college level, college type, region, secondary smoking exposure time, health status, monthly drinking, alcohol use disorder, and eating breakfast remained significantly (p<0.01, p<0.05). Conclusion: Future efforts should be focused on association between health risk factors and environment factors in physical, mental, and social aspects. To achieve this, we will need to provide the integrated health promotion program to decrease smoking problems of university students.

• Journal of the Korean housing association
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• v.28 no.1
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• pp.27-36
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• 2017

The number of one-person households has increased because of social and economic changes in Korea. The purpose of this study is to figure out the need for different types of furniture plans, based on life styles, that minimize undesired dead spaces for those individuals who live by themselves in a one-room studio. Residents of Busan, who are in their 20 to 40 s, answered questionnaires provided by the researchers. 156 questionnaires were analyzed through a statistical process by using SPSS Win 18.0K. The major findings are as follows: (1) The subject's lifestyles were classified into five lifestyle factors: the self-actualizing lifestyle factor, the well-being pursuing lifestyle factor, the open and sociable lifestyle factor, the stable and convenient lifestyle factor, and the information-oriented lifestyle factor. (2) These factors contributed to five lifestyle groups with common characteristic: the 'self-actualizing group' has a positive attitude about self-improvement and most subjects in this group are professionals. The 'well-being pursuing group' has a positive attitude about comfort living. The 'open and sociable lifestyle group' mostly consisted of students who are very positive in regards to accepting new trends. The 'stable and convenient lifestyle group' values stability and convenience in their life. The 'information-oriented group' pursues a lifestyle substantially depending on obtaining online and off-line information.