• 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 Family Resource Management and Policy Review
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• v.7 no.1
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• pp.119-133
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• 2003

The purpose of this study, thesis is to find out the main cause which influences recycling behaviors regarding package wastes. For this purpose, it discusses the difference of recycling behaviors based on socio-demographic factors and lifestyle categories and, it analyzes the relative influencing power of socio-demographic factors and lifestyle on recycling. The results are as follow: First, recycling behaviors on grounds of socio-demographic factors showed considerable difference as regards to age and income. At the income level of 3 Million Won (per month) and the higher the age, recycling behaviors were well established. Second, recycling behaviors based on lifestyle categories demonstrated considerable difference. While the pragmatists and sincere-devoted showed quite positive recycling behaviors, the social activity-oriented and other-directed fashion-pursued did not. Third, the most influential factor on recycling was the parsimony-oriented lifestyles.

• 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.

• Journal of Preventive Medicine and Public Health
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• v.47 no.2
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• pp.113-123
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• 2014

Objectives: Several previous studies have found that healthy behaviors substantially reduce non-communicable disease incidence and mortality. The present study was performed to estimate the prevalence of four modifiable healthy behaviors and a healthy lifestyle among Korean adults according to socio-demographic and regional factors. Methods: We analyzed data from 199 400 Korean adults aged 19 years and older who participated in the 2010 Korean Community Health Survey. We defined a healthy lifestyle as a combination of four modifiable healthy behaviors: non-smoking, moderate alcohol consumption, regular walking, and a healthy weight. We calculated the prevalence rates and odds ratios of each healthy behavior and healthy lifestyle according to socio-demographic and regional characteristics. Results: The prevalence rates were as follows: non-smoking, 75.0% (53.7% in men, 96.6% in women); moderate alcohol consumption, 88.2% (79.7% in men, 96.9% in women); regular walking, 45.0% (46.2% in men, 43.8% in women); healthy weight, 77.4% (71.3% in men, 73.6% in women); and a healthy lifestyle, 25.5% (16.4% in men, 34.6% in women). The characteristics associated with a low prevalence of healthy lifestyle were male gender, younger age (19 to 44 years of age), low educational attainment, married, living in a rural area, living in the Chungcheong, Youngnam, or Gwangwon-Jeju region, and poorer self-rated health. Conclusions: Further research should be implemented to explore the explainable factors of disparities for socio-demographic and regional characteristics to engage in the healthy lifestyle among adults.

• Journal of the Korean Home Economics Association
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• v.27 no.3
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• pp.103-115
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• 1989

This study has been a study on changes seen in rural kitchens and factors affecting the modernization of agrarian kitchen space. The major findings were as follows: 1) The physical changes in kitchen design were carried out rapidly after 1977. This period coincided directly with the period in which kitchen improvement projects were fostered by the Sae Ma-Eul UNDONG 2) The study showed the macro factors contributing to changes in kitchen space to be government policy and industrialization. The study showed the micro factors influening kitchen space changes to be classified along socio-demographic lines and family lifestyle. 3) The factors affecting the degree of satisfaction with kitchens have been divided into socio-demographic and lifestyle characteristics. The level of education achieved by the husband was the most significant among socio-demographic characteristics. Most important among lifestyle characteristics were the cooking fuel used during the slack farm season, eating habits, heating fuel and eating space respectively. The results of this study have some implications in terms of government housing policy. Policymakers should be aware of suitable kitchen spaces to rural households in order to meet their housing needs and expectations.

• Korean Journal of Agricultural Science
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• v.45 no.3
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• pp.533-545
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• 2018

The aims of this study were to examine whether there are consumer segments that have a propensity to be deal prone in purchasing processed foods and to identify those characteristics of consumers that reflect their deal proneness. Thus, raw data from the Korea Consumer Attitude Survey was analyzed by frequency, factor analysis, and Tobit regression. The major findings are as follows. Individual deal proneness are different according to regional and socio-economic characteristics, and the lifestyle of the consumers also affects deal proneness. Socio-economic variables that have significant impacts on deal proneness for processed foods are residential areas, preferred lifestyle types, sex, age, educational background of the household head and type of store mostly used. With regard to lifestyle, it was found that consumers with a lifestyle that includes convenience, brand pursuit, and convenience are more likely to have a higher degree of deal proneness for processed foods. From the results based on different food groups, it was found that deal proneness for different food groups is affected by the areas, types of sales promotion, and socio-economic characteristics of the consumers. This result suggests that the differences in the consumption of processed foods and deal proneness are indicative for the need to use marketing strategies that consider the characteristics of consumers.

• Journal of the Korean Dietetic Association
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• v.12 no.4
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• pp.369-377
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• 2006

Data from the 2001 Korea Health and Nutrition Examination Survey, a nationally representative, cross-sectional survey, were analyzed to assess prevalence of health intended food use overall and in relation to socio-demographic and lifestyle characteristics. Health intended food were classified into four broadly defined categories: vitamin and mineral supplements, health aid food, animal protein based restorative food and medicinal plants. Thirty three percent of adults aged 20 years or older reported taking health intended food in the past year : twenty four percent took vitamin or mineral supplements and medicinal plants were taken by 17 % of adults, health aid food by 15% and animal protein based restorative food by 6%. In multivariate logistic regression, female gender, older age, more education, regular exercise and non smoking were associated with greater use of vitamin or mineral supplements. Dietary quality was significantly associated with use of vitamin or mineral supplements or health aid food but not with use of medicinal plants or animal protein based restorative foods. Obese persons were less likely to take vitamin or mineral supplements. These findings suggest that epidemiologic studies of diet, demographic or lifestyle and health take health intended food use into account because of high prevalence of use of the food by the population and differential use of the food by socio-demographic and lifestyle characteristics.

• Research in Community and Public Health Nursing
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• v.14 no.1
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• pp.144-156
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• 2003

This study was conducted to investigate the relationship between the self-esteem, social support and health promoting lifestyle of the elderly in a community. The sample consisted of 147 elderly, and data were collected from September 1 to October 15, 2001. The instrument of this study was a structured questionnaire including Health Promoting Lifestyle (47 items), Social Support(18 items), Self-Esteem(10 items), Socio-demographic Characteristics. Analysis of the data was done by use of descriptive statistics, ANOVA, Pearson Correlation Coefficient. The results of this study are as follows: 1. The degrees of self-esteem of the elderly were mean score $25{\pm}2.98$ points, socio-demographic characteristics containing meaningful difference with self-esteem was not significant. 2. The degrees of social support by elderly were mean score $55.03{\pm}9.60$ points and social support according to the socio-demographic characteristics showed meaning difference in family structure $\ulcorner$with off spring$\lrcorner$ (F=8.50, p=.000), health status $\ulcorner$good$\lrcorner$ (t=2.19, p=.030), smoking $\ulcorner$below 1 packet daily$\lrcorner$ (F=4.88 p=.009). 3. The degrees of health enhancing lifestyle by elderly were mean score $113.61{\pm}20.12$ points and health enhancing lifestyle according to the socio-demographic characteristics showed meaning difference in education level $\ulcorner$middle school and above$\lrcorner$ (F=6.37 p=.002), occupation before retirement $\ulcorner$profession, technician, employee of company, education$\lrcorner$ (F=5.00, p=.003), health status $\ulcorner$good$\lrcorner$ (t=3.14, p=0.002), exercise $\ulcorner$weekly 2-3$\lrcorner$ (F=4.31, p=.006), drinking $\ulcorner$weekly 1$\lrcorner$ (F=2.74, p= .046). 4. The item mean score of personal relationship support field in health enhancing lifestyle were $2.90{\pm}.60$ points. item mean scores of exercise and nutrition were $2.26{\pm}.39$ points, item mean scores of stress managing field were $2.25{\pm}.49$ points, item mean scores of health responsible field were $2.14{\pm}.61$ points. 5. The relationship between self-esteem and health enhancing lifestyle revealed a significant correlation(r=.169. p=.041), but self-esteem and social support, showed no significant correlation, and health enhancing lifestyle and social support, revealed a significant correlation(r=.654, p=.001).

• Journal of Preventive Medicine and Public Health
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• v.31 no.1 s.60
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• pp.72-81
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• 1998

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.

• The Research Journal of the Costume Culture
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• v.21 no.2
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• pp.301-308
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• 2013

The purpose of this research is to classify fashion consumers based on their attitudes, goals and values of life. It is to understand what drives human behaviors as well as to learn the various directions people live in society using Bangkok people as the samples. Online and on-site questionnaire survey is employed. Questions are designed to focus on 7 aspects of life, ranging from private life, professional life, social life, politics, culture and information interaction, household business and finance, and consumption of products and services in the main market. The research results can be used to classify consumers' lifestyles into 20 major and numerous minor groups of lifestyle. Lifestyles of male and female samples are compared to investigate their different patterns and directions. Fashion trend diagram is used to analyze the overlapped lifestyles of mass consumers. The lifestyle segmentations would benefit to designer and fashion branding team in understanding their target group deeper inside the background of their behaviors.