• Journal of Families and Better Life
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• v.17 no.3
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• pp.17-32
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• 1999

This study shows how the lifestyle of Housewife as well as usual socio-economic variables affect the expenditure of urban household. The Result of Factor Analysis revealed that the lifestyle of urban housewives were composed by four different traits. 1) self-improvement and rational trait 2) consumption-oriented convenience seeking trait 3) traditional-conservation trait 4) money-oriented variety seeking trait. Based on the Multiple regression analysis the analysis of the relative influence of variables which were associated with the expenditure of each item showed that influential variables for each item were different but economic variables(e, g , income saving, property etc) affected on most of expenditure. Socio-economic variables were more influential than lifestyle variables for every item. But lifestyle variables were influential the same as Socio-economic variables for unnecessary expenditure item more than necessary items particularly consumption-oriented convenience eeking trait and money-oriented variety seeking trait affected.

• Journal of the Korean Society of Clothing and Textiles
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• v.12 no.3 s.28
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• pp.309-318
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• 1988

The purposes of this study were: 1) to develop specific AIO variables(clothing variables) based on clothing behavior studies, 2) to segment apparel market by clothing variables, 3) to discribe the profile of each segment with clothing variables, lifestyle variables and demographic variables, 4) to Suggest effective strategies on apparel market of women's clothing. The Likert Type clothing questionnaires measured 6 aspects of clothing (fashion, conformity-individuality, practicality, aesthetics, modesty and brand consciousness & status symbols) dealing with activities, interests and opinions. In addition, lifestyle variables were measured with general AIO statements. The questionnaires were administered to 563 young women (students, career women and homemakers) living in Seoul. The data were analysed by factor analysis, ctustering analysis, multiple discriminant analysis, one-way ANOVA ana Duncan's multiple range test. The results of the study were as follow: 1) 4 factors emerged from factor analysis of clothing variables. Factor 1: lower interest in modesty and higher interest in aesthics, Factor 2: brand consciousness and status symbols, Factor 3: conformity, Factor4 : fashion. 2) Lifestyle variables clustered into 3 factors. Factor 1: positive social activity, Factor 2: family-oriented type, Factor S: materialism. 3) By cluster analysis of the 4 factors of the clothing variables, the apparel market of women's clothing was categorised into 3 segments (innovative aesthetics seeker group, brand and status symbols conscious group, clothing unconscious group). 4) The above three segmented groups were also significantly discriminated by lifestyle and demosraphic variables. 5) On the basis of the findings, effective marketing strategies of women's clothing were suggested.

• Fashion & Textile Research Journal
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• v.15 no.4
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• pp.554-564
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• 2013

We provide an empirical assessment that examines the differences in appearance management behavior, life satisfaction and demographic variables between groups classified by individual lifestyle. Questionnaires were administered to 513 female and male adults over 17 years of age in the Daegu and Kyungbok metropolitan regions. Descriptive statistics, cluster analysis, Cronbach's ${\alpha}$, ANOVA, Duncan test and ${\chi}^2$ test were applied to analyze data from 513 respondents. The results are as follows. First, we did a cluster analysis on the appearance management behavior of weight training, skin care, hair care, make-up and clothing selection. Four groups (passive, rational, fashion oriented, and active typed) where classified according to individual lifestyle. Second, the rational and active groups were more interested in the social life, environmental stability, health, fashion and economic seeking life. They were also more involved in appearance management behavior and in a higher level of life satisfaction. However, the differences of life satisfaction among the lifestyle group (male) were not statistically significant. Third, females with higher level of income and education (among the demographic variables) belonged to the active group. We found significant differences in appearance management behavior, life satisfaction and demographic variables among male and female groups classified by lifestyle.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.939-950
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• 2021

The purpose of this study was to measure the significance and contribution of sensory appeal, lifestyle, and health motive in determining coffee drink consumption. The theory adopted is the SOR (stimulus-organism-response) theory and the AISAS (attention-interest-search-action-share) model approach. Data was collected online in April-May 2020, and obtained 413 valid respondent data. The data were processed using SEM (Structural Equation Modeling) framework. The results showed that the variable sensory appeal of coffee drinks, lifestyle variables and health motive variables had a significant effect on coffee consumption. Of the 13 hypotheses proposed, nine hypotheses are accepted and four hypotheses are rejected. Sensory appeal has a positive effect on attitude and action of coffee consumption. Lifestyle has a positive effect on attitude, search, and action, whereas health motive has a positive effect on attitude of coffee consumption. Lifestyle variables have the greatest role in determining coffee consumption, followed by health motive variables and sensory appeal of coffee drinks. The SOR theory and the AISAS approach can both be used to analyze coffee drinking behavior. The research suggests that, to increase coffee consumption, a marketing approach should touch the lifestyle of the community and increase the promotion of the health aspects of coffee drinks.

• Korean Journal of Community Nutrition
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• v.16 no.6
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• pp.683-696
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• 2011

This study compared levels of health beliefs and health behavior practices according to lifestyle pattern among adults in Seoul. A self-administered survey questionnaire was collected from a total of 1,004 Seoul residents aged 30-59 years. The levels of perceived benefit, perceived barrier, and self-efficacy from health belief model and health behavior practices were measured across multiple health behavior areas including dietary behavior, drinking, smoking, exercise, functional food consumption, and weight control behavior. Factor analysis and subsequent cluster analysis based on 28 lifestyle questions divided the subjects into four lifestyles of society-, economy-, trend-, and health-oriented lifestyle. Some general characteristics were significantly different by lifestyles. The society-oriented lifestyle was significantly higher in proportions of men and overweight. The trend-oriented lifestyle was significantly younger and spent more monthly allowance. Health-oriented lifestyle was older. The levels of health belief variables and health behavior practices significantly differed by lifestyles. Overall the health-oriented lifestyle showed more desirable levels of health belief variables and health behavior practice in various health behavior areas compared to the other lifestyles, whereas the society-oriented lifestyle was found the other way. Health belief model variables including perceived benefit, perceived barrier, and self-efficacy were generally significant in predicting the levels of various health behavior practice, with somewhat differences by lifestyle pattern and health behavior type. The study findings suggest it may be useful to segment target subjects according to lifestyle pattern in planning and administering health education programs.

• Korean Journal of Adult Nursing
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• v.17 no.5
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• pp.772-782
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• 2005

Objectives: The purpose of this study was to investigate the relationship between Korean lifestyle characteristics and health status and to identify the variables influencing health in Korea. Methods: A cross-sectional descriptive correlational design was used to explore the lifestyle characteristics and health status of 397 Korean adults. Correlational analysis calculated the correlation between lifestyle and health status. To examine the relationship among demographic characteristics, lifestyle, and health status we used the t-test and one-way ANOVA. Stepwise multiple regression was conducted to examine the significant predictors of general health among subjects. Results: Positive correlations were seen between general health (GH) and the overall score and subscales of the Lifestyle. The stepwise regression model showed that vitality (VA), body pain (BP), nutrition, and occupation were significant variables influencing general health (GH). Conclusions: These findings provide evidence regarding the lifestyle patterns and healthstatus among Koreans. When planning intervention strategies for this population, exercise and physical activity should be principal focus areas.

• Korean Journal of Human Ecology
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• v.21 no.3
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• pp.489-503
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• 2012

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.

• International Journal of Human Ecology
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• v.2 no.1
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• pp.77-94
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• 2001

This paper expands empirical research on family satisfaction by introducing the family APGAR scale, developed and validated in the field of nursing, to measure the satisfaction of business-owning families and applying the Stafford et al.(1999) model of sustainable family businesses to the assessment of family satisfaction. More specifically, this study compares the differences in the effects of business- and family-related variables on family satisfaction for the families of lifestyle business owners and earner business owners. The sample was drawn from the 1997 National Family Business Survey. The family satisfaction was greater for the families of lifestyle business owners, but the family variables made a greater contribution to the explanation of variance in the satisfaction of families of earner business owners. The regression equation explained a higher percentage of the variance for the families of earner business owners. Nine family variables were significant in the satisfaction equation for earner business owners, in contrast to seven significant family variables in the equation for lifestyle business owners. Structured families had a significant positive effect on the satisfaction of lifestyle business owners. The family manager's education, putting the family first rather than the business, and the family management score had significant effects on the satisfaction of earner business owners.

• Research in Community and Public Health Nursing
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• v.11 no.1
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• pp.184-198
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• 2000

This descriptive correlational study was conducted to identify the variables related to a health promoting lifestyle in college female students. Participants were 232 female college student living in chinju city who selected by convenience sampling method. The data were collected by self-reported questionnaires from May to December. 1999. The data were analyzed by using descriptive statistics. pearson correlation coefficient. t-test. ANOVA. Duncan verification and stepwise multiple regression with an SAS program. The result to this study were as follows; 1) The average score of a health promoting lifestyle performance was 97.19, the average score of each item was 2.37. among the each items. self-actualization was obtained the most high score(31.10) and stress management was obtained the low score(14.74). 2) The result of compare health promoting lifestyle performance with related variables was follows; (1) In intervention factor, school lifestyle level showed significant positive correlations with teaching relationship level. (2) In Analysis of relationship of health definition. self-efficacy, perceived health status. and perceived benefit & barriers of health that is recognition-perception factors. health promoting lifestyle performance showed significant positive correlations with health definition (r = .2948. p = .001) and self-efficacy (r= .4587. p = .001). (3) A health promoting lifestyle showed significant positive correlations with school lifestyle(9.9%), family support (12.8%), and relationship with teacher (14.6%). This result indicate that; 1) need to development the health promoting model that suitable to our situation. 2) need to development the health promoting model that include family member and application and test to women. 3) need to development of the health promotion program and health education to women. 4) need to study for find out variables that have a influence to stress management. exercise. nutrition. and health promoting performance with low score in test.

• Journal of Korean Academy of Nursing
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• v.29 no.4
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• pp.977-990
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• 1999

This study was done to examine the relationship among psychosocial well-being, perceived health status and health promoting lifestyle practices, and to Identify those variables affecting a health promoting lifestyle. Three hundred and forty five ruddle-aged adults completed a multiple self-reported questionnaire on psychosocial well-being, perceived health status and health promoting lifestyle profile. Data analysis were conducted by using Pearson correlation coefficients, t-test, ANOVA, Scheffe test and stepwise multiple regression nth SAS program. The results are as follows : 1. The average item score for psychosocial well-being was low at 55.98, the level of perceived health status was moderate at 5.76, and health promoting lifestyle practices were low at 110.09. Among the subscales of the health promoting lifestyle profile, stress management and self-actualization were scored higher than exercise and health responsibility. 2. Performance of health promoting lifestyle was positively correlated with perceived health status and negatively correlated with psychosocial well-being. Also, negative correlations were observed between perceived health status and psychosocial well-being. 3. There were statistically significant differences for health promoting lifestyle, psychosocial well-being and perceived health status according to sociodemographic variables. The performance of health promoting lifestyle was significantly different according to education, economic status and marriage satisfaction. Psychosocial well-being was also significantly different according to education, marriage satisfaction, and exercise. Perceived health status was significantly different according to education, occupation, and economic status. 4. Perceived health status, psychosocial well-being, marriage satisfaction and level of education together explained 21.62% of varience in the performance of health promoting lifestyle. These findings help to clarify relationships among psychosocial well-being, perceived health status, and health promoting lifestyle practices in middle-aged adults. Therefore, the result of study provide clues for encouraging people to adopt healthier lifestyles and constructing alternative strategies for promoting health practices.