The purpose of this study was to investigate the relation between health behavior patterns and demographic, socio-economic characteristics, health status, health information in Korea. The quantification method through canonical correlation analysis was conducted to the data from Korea National Health Survey in 1995, which consisted of 5,805 persons. The health lifestyle patterns were quantified as good diet lifestyle, passive lifestyle to the negative direction and drinker lifestyle, smoker lifestyle, hedonic lifestyle and fitness lifestyle to the positive direction. The covariate were related to health lifestyle patterns in the order of sex, age, marital status, occupation, health information, economic status, level of physical labour and health status. Characteristics of male, age below 50, married, blue colored worker, no health information, low in economic status, heavy level of physical labour, and poor in health status were positively related to drinker lifestyle, smoker lifestyle, hedonic lifestyle, fitness lifestyle sequentially.
This study was to identify the effects of four types of e-Lifestyle(life-friendly lifestyle, development-oriented lifestyle, sociality-oriented lifestyle, information-oriented lifestyle) on sustainable behavior (usage and satisfaction) of Kiosk service. The study was based on convenience sampling of 222 consumers, who have at least three months experience of kiosk system use. Results showed that all of the four types of e-Lifestyle had not significant effect on ease of use. However, development-oriented lifestyle and sociality-oriented lifestyle had a positive effects on usefulness of Kiosk service. Results also indicated that e-Lifestyle had significant and positive effects on customer satisfaction and recommendation. In particular, life-friendly lifestyle had an effect on customer satisfaction, and sociality-oriented lifestyle and information-oriented lifestyle had statistically significant effects on recommendation. Since e-lifestyle could potentially influence sustainable behavior for using Kiosk, this study investigated the distribution of usage and consumer satisfaction for every lifestyle type, so as to understand the attitudinal and behavioral evaluation as sustainable behavior in the use of kiosk services. These findings allow researchers and marketers to identify the needs and expectations of specific types of kiosk users.
With the greater importance of lifestyle shops and experience marketing, research is needed for the effective experience marketing of lifestyle shops by fashion product type. This study establishes effective and differentiated experience marketing strategies for fashion lifestyle shops by examining the effect of the experience marketing satisfaction with lifestyle shops on purchase intention and loyalty. This study categorizes lifestyle shops by fashion product types into a suit-oriented lifestyle shop, a casual/leisure/sportswear-oriented lifestyle shop and a home fashion lifestyle shop, Then a survey was conducted on participants who had visited lifestyle shop. As an analysis method, factor analysis, reliability analysis and regression analysis were conducted. In this study, we identified the experience marketing factors of fashion lifestyle shops. This study found that the satisfaction from experience marketing factors of fashion lifestyle shops by fashion product types affected purchase intention and loyalty differently. Considering the results of this study, it will be able to increase not only purchase intention and loyalty but also brand sustainability by establishing, applying, and executing a differentiated strategy considering the detailed factors of experience marketing for each fashion product type when planning and operating a fashion lifestyle shop. Through this study, effective marketing of fashion lifestyle shops by fashion product type will be implemented.
Objectives: This study was to examine by gender the clustering patterns and correlates of healthy lifestyle clusters and the relationships between healthy lifestyle clusters and depressive symptoms in middle-aged and older adults. Methods: The observed/expected ratio of physical activity, smoking, and alcohol consumption were calculated to analyze clustering effects. The correlates of those healthy lifestyle clusters were evaluated using logistic regression models, and the relationship between those healthy lifestyle clusters and depressive symptoms was investigated using multiple regressions by gender. Results: Based on the guidelines this study adopted, we obtained three healthy lifestyle clusters: active healthy lifestyle; passive healthy lifestyle; and unhealthy lifestyle. All three clusters were found in men, but two in women, who did not have an unhealthy lifestyle cluster. High socio-economic status was positively related to healthy lifestyle clusters. Social participation and residence location (in men) and marital status (in women) were significant factors. Having an active or a passive healthy lifestyle was negatively associated with depressive symptoms in women, but such a relationship was not observed in men. Conclusions: The study findings imply that health promotion programs for middle-aged and older adults in Korea should be comprehensive and integrated, considering healthy lifestyle clusters and gender differences.
A study on Composing Unit Spaces of Apartment Houses according to the Differentiation in Lifestyle by survey on preferences. The purpose of this study is to propose composition models of unit spaces for 85m2 net area apartment houses by lifestyle types. This study set up a hypothesis that there is a critical divergence of preferences in composition types of unit spaces according to lifestyle. To prove the hypothesis, investigation on variable floor plans of apartments to extract spatial composition types of units and questionnaire survey on lifestyleand preferences for composition types were implemented. To extract several factors regarding, characteristics of lifestyle, factor analysis, was implemented for each variable. Cluster analysis was conducted to cluster interviewees by similarity of lifestyle. To identify and define how each factor reacts, ANOVA and cross tabulation analysis between factors and clusters were used. The type of spatial composition was analyzed by plane characteristic, spatial relation and spatial usability on the basis of apartment plate type. As a result, lifestyle was divided into three types: reasonable lifestyle, trend-seeking lifestyle and conservative lifestyle. As, the result of investigating characteristics for the type of spatial composition according to the type of lifestyle, preferred types and main districts were different. Therefore, the hypothesis was proved.
Health could be maintained and promoted by pursuing an active healthy lifestyle. Life-style include health habits and behavior pattern such as exercise, diatry change, weight control, stress management et al. The objectives of this studies are (1) to analyze recognition and practice of lifestyle between nurses and non-nurses, (2) to analyze health status of clients which presented healthy lifestyle, (3) to analyze factors that affected healthy lifestyle. The lifestyle assessment questionnaire is divided into ten sections: competence in selfcare, nutritional practices, physical activity, sleep patterns, stress management, self-actualization, sense of purpose, relation with others, environmental control, and use of health care system. The major results are as follows : (1) The level of recognition and practice of lifestyle was not high. Nurses showed more higher score than non nurses in lifestyle area such as competence in selfcare, stress management, environmental control, and use of health care system. (2) Good health status and lifestyle presented positive relation. (3) In mutiple classifiction analysis, competence in selfcare, nutritional practices, physical activity, sleep patterns, stress management, environmental control, and use of health care system had significant relation to independent variables. (4) Change of concept for healthy lifestyle after this survey was higher in nurses group and the most concern area was stress management. To sum up, lifestyle pattern of nurses as health professional was not desirably high. Therefore nurses ownself should effort to practice healthy lifestyle prior to others, and then educate importance of lifestyle for health promotion and disease prevention. In conclusion, it will be useful to consider significant lifestyle factors that was be identified in this study to develop health promotion program.
Purpose: The purpose of this study was to develop a mobile health lifestyle program for university students and to verify its effectiveness. Methods: The program was developed based on Jung's teaching-learning system design model. The research used a non-equivalent control group pretest-posttest non-synchronized design. Data were collected from October 20 to December 5, 2018. To verify the effects of the program, the knowledge, self-efficacy, and intention to plan health lifestyle and health lifestyle behavior were measured. A two hour health lecture and a mobile health lifestyle program were delivered for 3 weeks to 23 students in the experimental group. 19 students in the control group received only a two hour health lecture. Results: The experimental group showed significantly higher scores on knowledge (F=4.63, p=.038), intention to plan health lifestyle (F=14.44, p<.001), and health lifestyle behavior (F=46.80, p<.001). However, the score on self-efficacy was not significantly different (F=2.65, p=.112). Conclusion: It was confirmed that the mobile health lifestyle program can be useful in increasing the level of knowledge, intention and behavior of health lifestyle among university students. Therefore, the mobile health lifestyle application can be used as a supporting resource to enhance the health promotion for university students.
With the recent increase in the number of one- and two-person households, demand for small-sized apartments has been on the rise, and lifestyles have seen swift changes to cater to smaller-sized housing. The construction market is shifting toward small-sized apartments, and research is now needed on the lifestyles of those living in small-sized apartments in order to develop suitable housing units. Therefore, this study aims to produce a planning concept for housing units by lifestyle, categorizing residents based on lifestyle and identifying their LDK preferences. Regarding methodology, prior research was reviewed to validate housing-related lifestyle factors and study the lifestyles of those living in small-sized apartments. Lifestyle categories based on housing type were determined by a cluster analysis, and LDK preferences for each lifestyle were analyzed through a survey. These data were then used to propose a planning concept with small-sized apartments for each lifestyle type. Thirty-two factors for categorizing lifestyles were obtained by studying three domains of housing-related lifestyle factors: 'housing values', 'attitudes toward living space', and 'behavior in living space; A total of 648 people living in small-sized apartments were classified into three lifestyle groups: 'True Family Benefiters', 'Smart Shopaholics', and 'Slow Heritage Pursuers'. 'Each group's lifestyle characteristics and socio-demographic features were used to classify the lifestyles of those living in small-sized apartments. The LDK preferences for each lifestyle were analyzed to design a planning concept for small-sized apartment.
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.
Consumers' interest in health is increasing, and health-seeking consumption lifestyles, including comprehensive consumption behaviors related to physical health, mental health, and a healthy dietary lifestyle are becoming increasingly important to many people. The purpose of this study was to develop a health-seeking consumption lifestyle scale that could aid in determining effects of social status, perceived health status, and socio-demographical variables on health-seeking consumption lifestyles. Data were collected via an on-line survey of 500 respondents, all of whom were married women 20 year of age or older. The data were analyzed in terms of frequency, percentage, mean, standard deviation, factor analysis, t-test, one-way ANOVA, Pearson's correlation analysis, and multiple regression analysis. The results of this study are as following: First, health-seeking consumption lifestyle demonstrated three main factors: physical health-seeking consumption lifestyle, mental health-seeking consumption lifestyle and healthy dietary life seeking consumption lifestyle. Second, most respondents identified themselves with the middle class and perceived their health status positively. Third, health-seeking consumption lifestyle demonstrated significant differences based on socio-demographical variables. Fourth, health-seeking consumption lifestyle was significantly affected by social class, age, and health status comparisons within similar age groups.
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