This study looks at the patterns of married women's lifestyles and verifies whether there are differences in their preferences, the will to continue shopping, and the importance of healthy foods. The paper analyzes the relative influence of each lifestyle pattern on the level of satisfaction with healthy foods. The results of the analysis of this study are as follows. To find patterns in the lifestyles of married women ages 20s to 50s, the factors were analyzed and five lifestyle patterns were extracted: health managing type, fashion pursuing type, self-expressing type, family-oriented type, and eco-friendly type. If we examine the purchasing of healthy foods for each lifestyle, women with a self-expressing lifestyle gain more information from news articles, books, and salespeople than from other information sources. Women of the health managing, family-oriented, and eco-friendly types had high purchasing frequencies and amounts. A cluster analysis was carried out to categorize the different groups being investigated into lifestyle types. They were categorized into the four clusters: active multiple-oriented type; fashion, self-expressing compromising type; passive well-being oriented type; and family and health managing type. It has been verified that there are differences among the clusters in terms of the level of importance of products, contributions to health, as well as distribution and management of healthy foods. To be more specific, the level of importance of the products as well as their distribution and management manifested as being higher among the active multiple-oriented type and the family-oriented and health managing types. The level of importance of contributions to health scored high among all groups, except the passive well-being oriented type. The active multiple-oriented type and the family-oriented and health managing types showed a high level of preference and will to continue purchasing healthy foods, while the fashion and self-expressing compromising types and passive well-being oriented type showed a low level of preference and will. In order to find patterns in the level of satisfaction with healthy foods, three factors were analyzed: credibility of labels, contributions to health, and satisfaction with the store. The factors that had the greatest influence on the total level of satisfaction was the credibility of labels for the family-oriented lifestyle; a product's contribution to health for the health managing lifestyle; and the store for the fashion pursuing lifestyle.
This study investigated potential causes of obesity by examining diet and lifestyle factors. The data from the 2008 Korea National Health and Nutrition Survey were statistically analyzed to determine the relative importance of causes of obesity. Because the factors affecting obesity for males and females were significantly different, binary choice logistic models of the male and female subjects were built and estimated separately. Our results show that stress, the irregularity of eating breakfast, and frequency of eating out had the three greatest impacts on male obesity, respectively, and stress, employment status, and age had the greatest impacts on female obesity, in that order.
Recently, elderly populations are coming out as the first magnitude consumers. The purpose of the study is analyze the basic data useful to get the public attention concerning the development of the market for elderly by looking into the types of lifestyle and the store choice factors which may influence the elderly women consumer. This survey was performed on individuals of age 50 and older women. the types of lifestyle for elderly women consumer were classified into 3 types; self-oriented. traditional, family oriented, family oriented. Each group showed different store choice factors that affect purchase of clothing; ease of returning product, discount for best customer, delivery service, convenience in-store and parking, all fashion item, store ambience and interior decoration were significant difference. The result of the study will be very useful in establishing the relevant elderly marketing strategies and in providing the business opportunities of the market for elderly consumers.
The purpose of this study is to examine the fashion lifestyle variable of global consumers and to compare among US, Chinese and EU consumers. The data were collected in US(n=749), China(n=702) and EU(n=1083) from 2008 to 2010. For analysis, factor analysis, reliability analysis, K-means cluster analysis and chi-square analysis of SPSS 18.0 are used. The research results are as follow: First, it is shown that significant lifestyle factors of global fashion consumers are "adventure seeking", "fashion-oriented", "conspicuous consumption", "leadership", "brand-oriented", and "DIY". As a result of the cluster analysis of lifestyle types, four cross-national market segments are identified. These segments can be labeled as follows: "conservative fashion-oriented group", "passive consumer group", "neutral consumer group", "active fashion-oriented group". Second, findings also reveal that fashion lifestyle segments had meaningful differences between nationality and by year. Third, the US consumers tended to have conservative fashion-oriented lifestyle in 2008, however global consumers were changed to have active fashion lifestyle in 2010. This research will be useful to global brands in planning marketing strategies by offering specific information for global consumer fashion lifestyle.
The purposes of this study were to analyze the lifestyle of women in their 50's and 60's and to provide the basis fur the efficient strategy of silver market by classifying women in their 50's and 60's according to lifestyle types and investigating the effect of consumers' lifestyle and demographic characteristics on consumers' clothing evaluation criteria and buying place. In this study, a selfㆍadministered questionnaire was distributed to women in their 50's and 60's. 226 questionnaires of 350 were used in the following analysis. The data were analyzed with the SPSS package. The results of this study were as follows. First, lifestyle were analyzed to find out the underlying factors, and then the subjects were grouped according to factor scores by the cluster analysis. Four lifestyle types were defined. They were the traditional family-oriented, the ostentatious purchase, the economical material-oriented, the active economics-oriented type. Second, a consumer's clothing evaluation criteria were classified according to three characteristics - aesthetic, practical and ostentatious. A consumer's clothing evaluation criteria were significantly different depending on the consumer's lifestyle and demographic characteristics. All lifestyle types except ostentatious purchase type considered practical characteristic like easiness of washing/care, harmony with other clothing, quality and price. The higher education, income and clothing expense, the more a customer considered ostentatious characteristic like fashionability and reputation of brand in selection of clothing.
This study analyzed the factors determining fashion lifestyle of Uzbek students in Korea and their clothing purchasing behavior and attitudes towards Hallyu, the Korean image, satisfaction, preferences and purchasing intentions for Korean fashion according to fashion lifestyle. The data collected from 260 Uzbekistan students in Korea were subjected to factor analysis, cluster analysis, ANOVA, Duncan test, and ${\chi}^2$-test using SPSS 25.0. The results were as follows: 1) Fashion lifestyle was analyzed based on brand orientation, tradition, fashion, and personality. The fashion lifestyle group was classified as follows: brand, fashion/personality, traditional, and fashion passive. 2) The evaluation criteria for fashion products, information sources, and store selection criteria were varied among the four groups of fashion lifestyle. 3) The attitude toward Hallyu and Korean image, the satisfaction, preference, and purchasing intention of KFP varied significantly between the fashion lifestyle groups. 4) The demographics of fashion lifestyle groups showed significant differences in sex and residential status. These results can be used as a basis for fashion companies targeting markets for Uzbek people in their 20s.
The purposes of this study were to identify the components of store image of women's clothing and to explain the relationships between store images and selection behaviors. Data were obtained from 330 females who college women and office girls in Busan. Its were analyzed by factor analysis, cannonical correlation, regression analysis and discriminant analysis. The results of this study were as follows ; 1. Dimensions of the clothing lifestyle were classified individuality-seeking, information-seeking, comfort-seeking and quality-seeking. 2. Store image factors of women's clothing were identified quality, design, information service, atmosphere and convenience. The types of preference store were the general public store, the public high class store and general obscure store. 3. It appears that designs is the factors to make store image of individuality-seeking, information-seeking and comfort-seeking and information service is the one to make store image of quality-seeking. Also they were usually purchased in the general public store by individality-seeking consumers and comfort-seeking consumers and purchased in the public high class store by information-seeking consumers and quality-seeking consumers. The store images, espacially the information service image, was contributed to the store selection behaviovs more than lifestyle. But lifestyle, espacially the comfort-seeking consumers, was contributed to the store behavior of the three types of store more than store image.
Purpose: The purpose of this study was to identify and profile distinct subgroups of patients with hypertension based on knowledge, attitudes, and behavior regarding their medication and health lifestyle. Method: A descriptive-exploratory research design was employed. Two hundred and twenty-three patients with hypertension using W Public Health Center were randomly recruited on the basis of being over 30 of age. Upon the receipt of their written consents, direct interview with a structured questionnaire were conducted by a public health nurse. Descriptive statistics and $X^2-test$ were utilized. Results: Three subgroups were identified. Group I members had a low score on all three factors including knowledge, attitudes and behavior related to medication and health lifestyle. Group II members had a low score on one or two of the factors. Group III members had a high score on all three factors. The three subgroups were significantly associated with education level, economic status, non-smoking and non-drinking. Conclusions: Further research should be conducted to validate these findings and test tailored nursing intervention for patient compliance.
The purpose of this research is to observe the differences in consumers behavior on clothes care based on their different lifestyles and different demographic characteristics. The research surveyed 267 women of 20 years old or older living in Taegu City. SPSS package was used for data analysis and frequency, percentage, average, standard deviation, factor analysis, cluster analysis, ANOVA(analysis of valiance). and Duncan test were used The results are as follows: 1. Lifestyle factors for the research object were found as 'Consumption-oriented','family-oriented', 'Economic-oriented','Leisure-oriented','conservatism-oriented'. The categories for analysis according to these factors are classified into 5 categories, category 1 is Leisure/Family-oriented group, category 2 Consumption/Leisure avoidance-oriented group, category 3 Economy/Family Apathy-oriented group, category 4 Conservatism-oriented group, and category 5 Consumption/Innovation group. Five factors for behavior on clothes care are found, including washing method, interest in detergent, environmental behavior, washing effectiveness, and management after washing 2. Behavior on clothes care based on lifestyle groups showed a meaningful difference according to the following: Interest in detergent(p<.05 level), environmental behavior(p<.01 level), and washing effectiveness(p< .01 level) 3. In demographic variations (such as age, monthly income, monthly expenditure on clothes), there is a meaningful difference in behavior on clothes care, such as interest in detergent or management after washing, according to different age groups. However, no meaningful difference is found in behavior on clothes care according to other demographic characteristics.
Due to the diversification of lifestyles and the rapid growth of Internet environments since the 1990s, mass customization has been recently accepted as an important trend in the area of clothing and all other areas. In response to mass customized clothing products, global clothing product brands are introducing systems for mass customization such as the application of digital fashion systems that introduced IT technologies such as CAD and 3D scanners. However, studies of planning factors for clothing products applied with digital fashion systems in the area of mass production of clothing products are insufficient. Therefore, this study was intended to analyze the lifestyles of 20-30s that are expected to have the highest demand for clothing applied with digital fashion systems and present basic planning factors according to lifestyles. Through the analysis, three groups that have one of fashion pursuing type, sensory information pursuing type, and practical function pursuing type lifestyles were derived. Based on this result, consumer demand for digital fashion systems and basic factors for product planning were analyzed to present basic planning factors for digital fashion system based customized clothing by lifestyle group. This study is meaningful in that it provided basic data for product planning through digital fashion systems by analyzing the awareness, preference, necessity, and planning factors of digital fashion systems through the analysis of lifestyle types.
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