• 한국식생활문화학회지
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• 제23권3호
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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.

• 한국보건간호학회지
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• 제13권2호
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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.

• 지역사회간호학회지
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• 제10권2호
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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.

• 한국보건간호학회지
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• 제25권1호
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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.

• 재활치료과학
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• 제12권4호
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• pp.111-122
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• 2023

목적 : 연구는 국민건강보험공단의 2015년 노인코호트 database를 이용하여 지역사회 노인의 라이프스타일 위험요인이 일상생활 활동과 인지기능에 미치는 영향을 알아보고자 하였다. 연구방법 : 독립변수로 설정한 라이프스타일의 위험요인은 체질량지수, 흡연, 음주, 격렬한 운동, 중간정도 운동, 걷기 운동에 대한 변수를 분류하여 분석에 사용하였으며, 종속변수는 기본적/수단적 일상생활 활동 그리고 인지기능으로 설정하여 분석하였다. 성별과 연령에 따른 일상생활과 인지기능은 t-test와 일원배치 분산분석을 실시하였다. 라이프스타일 위험요인과 일상생활 활동, 인지기능 간의 상관관계와 영향력을 분석하기 위해 피어슨 상관 분석(Pearson correlation)과 다중회귀분석을 실시하였다. 결과 : 지역사회 노인의 라이프스타일 위험요인이 기본적/일상생활 활동과 인지기능에 통계적으로 유의한 설명력을 보였다. 기본적 일상생활 활동에 영향을 미치는 요인은 성별과 걷기 운동이었으며, 설명력은 1.7%로 나타났다. 수단적 일상생활 활동은 연령과 음주, 걷기 운동이었으며, 설명력은 2.6%를 보였다. 그리고 인지기능은 성별과 연령, 체질량지수, 격렬한 운동과 걷기 운동이었으며, 설명력은 5.3%로 나타났다. 결론 : 지역사회 노인들에서 라이프스타일 위험요인이 기본적/수단적 일상생활 활동과 인지기능에 부분적으로 영향을 미치고 있음을 확인하였다. 이는 생물학적 노화에 직면한 노년기 노인들의 건강한 삶을 개선 및 유지하기 위해 라이프스타일 위험요인을 체계적으로 관리할 필요성을 시사한다.

• 대한간호학회지
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• 제27권3호
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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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• 제43권1호
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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.

• 보건교육건강증진학회지
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• 제32권2호
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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.

• 한국주거학회논문집
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• 제28권1호
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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.

• 한국의류산업학회지
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• 제19권4호
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• pp.448-467
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• 2017

Attention to living lifestyle shops covering with the wide product range including household items, interior decoration, and bedding have recently increased since consumers have been improving their standard of living and income levels and they are getting more interested in up-to-date trends of global living lifestyles. The purpose of this study is first, to analyze the market situation of living lifestyle shops using the case study method and second, to investigate consumer's store usage behavior, product purchase motives, and attitudes to the living lifestyle shops using the empirical study method. For an empirical study, the survey was conducted with 20s to 50s female respondents who have visited living lifestyle shops and a total of 227 responses were analyzed using SPSS 18.0. The results of this study were as follows. The most frequently visit store was MUJI and most of respondents tended to visit the store once a month and their interest and purchase items were household items. Only impulsive purchase motives among other motives of living lifestyle shops, such as others-oriented, situational, and reasonable motives, significantly had a positive effect on store attitudes toward living lifestyle shops. There were differences in purchasing items at living lifestyle shops depending on marriage status and occupation. Purchase motives of living lifestyle products were statistically influenced by demographic factors such as age, marriage status and income level, however store attitudes were not. The managerial implications for living lifestyle shops are discussed limitations and areas for future research as well.