• Journal of the Korean housing association
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• v.17 no.5
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• pp.147-157
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• 2006

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 Policy and Management
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• v.22 no.4
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• pp.579-596
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• 2012

The purpose of the study is to examine the use of medication among adults by comparing the pattern of outpatient prescription drug use with the pattern of long term taking lifestyle drug use. Furthermore, the study investigates factors associated with the use of medication, particularity focusing on socioeconomic factors. Korea Health Panel data of 2008 was used to conduct the study analysis. By performing four different logistic regression models, the study noticed different patterns of the medication use between prescription drugs and lifestyle drugs. More specifically, the study showed that adults with lower education level tend to more frequently receive prescriptions while adults with higher education as well as income level tend to more use lifestyle drugs than their counterparts. Furthermore, other control factors such as age and gender were statistically significant for the use of both prescription and lifestyle drugs in different patterns. The study findings expect that reimbursement structure of drugs may be significantly associated with the different patterns and accordingly the accessability of medicine in particularly vulnerable population. Therefore, these policy factors should be considered in future study to more comprehensively understand about the diverse patterns in the medication use.

• Journal of Korean Biological Nursing Science
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• v.25 no.1
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• pp.73-85
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• 2023

Purpose: This study focused on identifying the interaction effects of genetic and lifestyle-environmental factors on the development of type 2 diabetes mellitus (T2D). Methods: Study subjects were selected from the Korean Genome and Epidemiology Study (KoGES) from 2001 to 2014. Data on genetic variations, anthropometric measurements, biochemical data, and seven lifestyle factors (diet, physical activity, alcohol drinking, smoking, sleep, depression, and stress) were obtained from 4,836 Koreans aged between 40 and 59 years, including those with T2D at baseline (n = 1,209), newly developed T2D (n= 1,298) and verified controls (n = 3,538). The genetic risk score (GRS) was calculated by using 11 single-nucleotide polymorphisms (SNPs) related to T2D development and the second quartile was used as the reference category. A Cox proportional hazards regression model was used to evaluate the associations of GRS and lifestyle factors with T2D risk, controlling for covariates. Results: Multivariate regression analysis revealed that GRS was the strongest risk factor for T2D, and body mass index (BMI), smoking, drinking, and spicy food preference also increased the risk. Lifestyle/environmental factors that showed significant interactions with GRS were BMI, current smoking, current drinking, fatty food preference, and spicy food preference. Conclusions: Interactions between genetic factors and lifestyle/environmental factors were associated with an increased risk of T2D. The results will be useful to provide a new perspective on genetic profiling for the earlier detection of T2D risk and clues for personalized interventions, which might be more effective prevention strategies or therapies in individuals with a genetic predisposition to T2D.

• Journal of the Korean Society of School Health
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• v.17 no.2
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• pp.97-105
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• 2004

Purpose: This study was undertaken in order to examine the relationships of control, perceived health status, self-efficacy, social support, and demographic characteristics for a health promoting lifestyle in college women, and to determine the factors affecting a health promoting lifestyle of women in the early stage of adulthood. Method: There were 161 students from one university in K city. The instruments used for this study were a survey of general characteristics, a health promoting lifestyle (47 items), control (8 items), perceived health status (6 items), self-efficacy (17 items), and social support (18 items). The data analysis was done by use of mean, percentage, t-test, ANOVA, Pearson Correlation coefficients and stepwise regression with the SPSS Win (Version 10.0) program. Results: The results of this study are as follows : 1) The average item score for the health promoting lifestyle was low at 2.39. In the sub-categories, the highest degree of performance was interpersonal support (2.97), and the lowest degree was health responsibility (1.76). 2) In the relationship between social demographics and a health promoting lifestyle, there were significant differences in age, disease experience, and the family's disease experience. 3) Social support revealed only significant correlations with a health promoting lifestyle. 4) Social support was the highest factor that predicted a health promoting lifestyle in college women (15%). Social support, age and disease experience accounted for 20% in a health promoting lifestyle of college women.

• The Research Journal of the Costume Culture
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• v.14 no.4
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• pp.567-580
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• 2006

The purposes of this study are to investigate dimensions of lifestyle and clothing shopping orientation of university students as consumers in Korea and to analyze the relationships between lifestyle and clothing shopping orientation. The research method for this study is survey and subjects were 473 male and female university students. The questionnaire is consisted of measurement items for lifestyle, clothing shopping orientation, and demographic attributions. The data were analyzed by factor analysis, T-test, Pearson's correlation analysis, ANOVA and Duncan's multiple range test, using SPSS program. The results are as follows. First, 4 factors were emerged on lifestyle (achievement-oriented, economics-oriented, appearance-oriented and freedom/culture-oriented) and clothing shopping orientation had 4 factors (reasonable shopping, informational shopping, conspicuous shopping, and convenient shopping). Second, there were significant relationships between lifestyle and clothing shopping orientation. Especially, there were high positive relationship between economics-oriented lifestyle and reasonable shopping orientation, and appearance-oriented lifestyle and informational shopping orientation. Third, lifestyle and clothing shopping orientation had much differences by subjects' demographics attributions.

• Journal of Korean Academy of Nursing
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• v.34 no.7
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• pp.1288-1297
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• 2004

Purpose: The purpose of this study was to investigate the factors influencing health promoting lifestyle in the elderly. Method: The subject of this study was 305 elderly person over the age of 60, living in rural and urban, Korea. For the analysis of collected data, descriptive statistics, t-test, analysis of variance and stepwise multiple regression were used for statistical analysis with SPSS statistical program. Results: The average item score for the health promoting lifestyle was 2.46, The higher score on the subscale was nutrition(2.65). The lowest score on the subscale were physical activity(2,36) and stress management(2,36). General characteristics showing statistically significant difference in health promoting lifestyle were age, residential district, live together spouse, education, religion and pocket money in the elderly. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle in the elderly was prior related behavior(R2=.554). A combination of prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences accounted for $64.3\%$ of the variance in health promoting lifestyle in the elderly, Conclusion: The factors influencing on health promoting lifestyle for elderly were prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences.

• Nutritional Sciences
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• v.7 no.3
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• pp.158-164
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• 2004

This study was conducted to define dietary patterns and to evaluate the effects of socioeconomic, acculturation and lifestyle factors on dietary patterns among 2,746 Korean- Americans in California. It was a cross-sectional telephone survey based on a representative sampling of individuals with a Korean surname using residential phone listings. It was conducted using a food frequency questionnaire that covered 20 food items, socioeconomic variables such as age, gender, income, education and acculturation, and lifestyle factors such as body weight, alcohol consumption, smoking, exercise and consumption of fast food. Four dietary patterns were identified: American Foods (AF), American Breakfast (AB), Korean Foods (KF) and Vegetables (Ⅴ). AF was associated with younger men, acculturation and fast food consumption. AB was associated with women, higher education, current smoking and fast food consumption. KF was associated with acculturation and lower socioeconomic status. Ⅴ was associated with lifestyle factors such as smoking, exercising and fast food consumption. The results of the study showed that socioeconomic and lifestyle factors influenced the dietary patterns of Korean- Americans. This should be considered when dietary interventions are designed for Korean-Americans to improve their health status.

• Health Policy and Management
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• v.14 no.3
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• pp.1-19
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• 2004

The purposes of this study were to investigate factors of the Obstetrics & Gynecology healthcare consumers' selection of hospitals by lifestyle segmentation and to propose managerial suggestions in health care marketing. Out of total 400 Questionnaires, 351 were considered to be valid for final analysis. The Questionnaire consisted of 81 Questions. 11 demographic Questions, 15 factors for selecting hospitals, 55 lifestyle. The collected data were analyzed with SPSS/pc+ Version 10.0. The subjects were divided into four groups in terms of their lifestyles: 'health active group', 'health conscious group', 'health indifferent group', 'health inactive group'. The analysis of factors related to the selection of hospitals shows that there were four factors: 'accessability', 'medical trust', 'cost and convenience', 'facilities'. Conclusion: As a results of this study, 4 types of healthcare consumers' lifestyle were defined. Each life style has specific characteristics. 'Health active group' pursue 'accessability', 'medical trust', 'cost and convenience' and Health conscious group' depended on 'medical trust', 'cost and convenience'. and 'facilities'. 'Health indifferent group' didn't show any special interest in the selection of hospitals and that 'Health inactive group' relied on 'medical trust', and 'facilities'.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.267-275
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• 2023

The purpose of this study is to investigate the influence of sports center members' lifestyles on participation promotion and choice behavior. To this end, more specifically, we intend to establish and clarify a hypothetical model based on the preceding studies of facilitating factors and factors that continue to participate according to the lifestyle of sports center members. In order to achieve this research purpose, the study subjects were set as the population of male and female adults over 20 who are using sports centers in Gwangju Metropolitan City and Jeollanam-do in 2021. As for the sampling method, the sample was extracted using cluster random sampling, and 300 people were used for the actual analysis, excluding 60 copies of double-entry and insincere or unreliable questionnaires. The survey tool was modified and supplemented according to this study based on the questionnaire that had been verified for reliability and validity in previous studies, and all questionnaire items were composed of a 5-point scale. The statistical analysis used for data analysis was frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis using SPSS Windows 21.0 Version. The conclusions obtained in this study through data analysis by such methods and procedures are as follows. First, according to the lifestyle of sports center members, participation promotion factors were found to have a partial influence. Second, according to the lifestyle of sports center members, the selection behavior was found to have a partial influence. Third, it was found that the participation promotion factors of sports center members partially affected the choice behavior.

• Therapeutic Science for Rehabilitation
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• v.12 no.4
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• pp.9-22
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• 2023

The Lifestyle-DEPER (Decision, Execution, Personal Factors, Environment, Resources) model explains lifestyle formation. Lifestyles are shaped through the decision, execution, and habituation stages. Factors influencing the establishment of a lifestyle are categorized as environmental, resource, and personal. The environment encompasses our surroundings and social, physical, cultural, and virtual environments. Resources refer to what individuals possess, such as health, time, economic, and social resources. Personal factors include competencies, needs, and values. At the lifestyle establishment stage, each of these factors influences a different stage. These collective processes are referred to as events, encompassing both personal and social events. Health-related lifestyle factors include physical activity, nutrition, social relationships, and occupational participation. These are the goals of lifestyle intervention. The intervention strategy based on the Lifestyle-DEPER model, called KEEP (Knowledge, Evaluation, Experience, Plan), is a comprehensive approach to promoting a healthy lifestyle by considering lifestyle formation stages and their influencing factors. This study introduces the Lifestyle-DEPER model and presents a lifestyle intervention strategy (KEEP) to promote health. Further research is required to validate the practicality of the model after applying interventions based on the lifestyle construction model.