• Fashion & Textile Research Journal
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• v.19 no.5
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• pp.559-568
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• 2017

The purpose of this study was to identify the socio-psychological variables and demographic factors influencing the difficulty people may have in discarding fashion goods. In addition, differences of disposal behavior were investigated according to the degree of reported difficulty with which people discarded fashion goods. A total of 260 survey questionnaires were analyzed. Frequency, correlation, exploratory factor analysis, reliability, t-test and multiple regression analyses were used for data analysis using SPSS 22.0. The study results were as follows. First, the difficulty of discarding of fashion goods was positively affected by concern for the environment and the potential for creative reuse of fashion goods, whereas it was not influenced by interdependence. Second, there were differences in the difficulty with which people discarded fashion goods according to demographic factors such as gender and whether or not they held certain religious beliefs; however, there were no differences among other demographic factors. Third, the group demonstrating a high degree of difficulty in discarding fashion goods preferred certain disposal behaviors such as donating to religious organizations, schools, charities etc., exchanging with other people or bartering, reforming for other purposes, selling to secondhand shops or on the internet, storing without wearing it, or discarding it after salvaging reusable parts. The results of this study provide various guidelines for consumers and retailers of fashion products who are interested in the efficient disposal of fashion goods.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.488-499
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• 2017

This study analyzes the effects of residential satisfaction factors of small sized housing, according to the costumer groups based demographic aspects. To attain the goal of this study, we set 8 groups (male and female : 2 groups, ages : 3 group, marriage : 2 groups, including whole group : 1) and selected 6 independent variables such as the social factor, economic factor, accessibility factor. external comfort factor, physical factor, and convenience of living factor. As a result, it is found that the economic factor has the statically significant determinant in all the 8 groups, with big positive coefficient. And the convenience of living factor is another important significant determinant in 6 groups. But the physical factor shows low the significant influence or insignificant influence in the all groups. Other factors, such as the external comfort factor, the social factor, accessibility factor. and convenience factor, are different depending on the groups.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.5989-5994
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• 2012

Background: There is little information on longitudinal patterns of participation in faecal occult blood test (FOBT) based colorectal cancer (CRC) screening or on demographic or behavioural factors associated with participation in re-screening. The lack of an agreed system for describing participatory behaviour over multiple rounds also hampers our ability to report, understand and make use of observed associations. Our aims were to develop a system for describing patterns of participatory behaviour in FOBT-based CRC screening programs and to identify factors associated with particular behavioural patterns. Methods: A descriptive framework was developed and applied to a data extract of screening invitation outcomes over two rounds of the NBCSP. The proportion of invitees in each behaviour category was determined and associations between behaviour patterns and demographic and program factors were identified using multivariate analyses. Results: We considered Re-Participants, Dropouts, Late Entrants and Never Participants to be the most appropriate labels for the four possible observed participatory categories after two invitation rounds. The screening participation rate of the South Australian cohort of the NBCSP remained stable over two rounds at 51%, with second round Dropouts (10.3%) being balanced by Late Entrants (10.5%). Non-Participants comprised 38.7% of invitees. Relative to Re-Participants, Dropouts were older, more likely to be female, of lower SES, had changed their place of residence between offers had a positive test result in the first round. Late Entrants tended to be in the youngest age band. Conclusions: Specific demographic characteristics are associated with behavioural sub-groups defined by responses to 2 offers of CRC screening. Targeted group-specific strategies could reduce dropout behaviour or encourage those who declined the first invitation to participate in the second round. It will be important to keep first round participants engaged in order to maximise the benefit of a CRC screening program.

• Journal of Korean society of Dental Hygiene
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• v.9 no.4
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• pp.659-669
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• 2009

Objectives : The degree of depression in dental hygienist was analyzed to reveal the various factors related to them. Methods : The self-administered questionnaires were filled out from 202 dental hygienist in Daejeon City. The survey items included subjects' socio-demographic and job-related characteristics, health-related behaviors, depression. Chi-Square analysis and Pearson's correlation coefficient was put into survey results, in which a degree of depression was dependent variable and others were independent variable. Results : 1. The distribution for depression degree has shown the rate as 80.2% in normal range group and 19.8% in depression group. 2. As for depression, long working hours(p=0.042), poor sense satisfaction in work(p=0.000), not fit to the job(p=0.003), low personal relation with peer works or supervisors(p=0.039), without alcohol drinking(p=0.048), poor subjective condition of health(p=0.000) than their respective counterparts. 3. Concerning correlation between depression and various factors, poor sense satisfaction in work(r=-0.332, p=0.000), not fit to the job(r=-0.353, p=0.000), low personal relation with peer works or supervisors(r=-0.215, p=0.002), without alcohol drinking(r=-0183, p=0.009), poor subjective condition of health(r=-0.333, p=0.000). Conclusions : These results showed that depression state could be influenced by various factors, which include socio-demographic, job-related characteristics and health-related behaviors. Therefore, in order to reduce depression state of dental hygienists, development and application of programs to manage and research for them are required to be revitalized as well as socio-demographic and job-related characteristics and health-related behaviors.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.4
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• pp.1627-1631
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• 2015

Background: Stage at diagnosis is one of the most important prognostic factors of breast cancer survival. Because in the breast cancer case this may vary with socioeconomic characteristics, this study was performed to recognize the relationship between demographic and socioeconomic factors with stage at diagnosis in Iran. Materials and Methods: This cross-sectional, descriptive study conducted on 526 patients suffering from breast cancer and registered in Cancer Research Center of Shahid Beheshti University of Medical Sciences from 2008 to 2013. A reliable and valid questionnaire about family levels of socioeconomic status filled in by interviewing the patients via phone. For analyzing the data, Multinomial logistic regression, Kendal tau-b correlation coefficient and Contingency Coefficient tests were executed by SPSS22. Economic status, educational attainment of patient and household head and/or a combination of these were considered as parameters for socioeconomic status. First, the relationship between stage at diagnosis and demographic and socioeconomic status was assessed in univariate analysis then these relationships assessed in two different models of multinomial logistic regression. Results: The mean age of the patients was 48.3 (SD=11.4). According to the results of this study, there were significant relationships between stage at diagnosis of breast cancer with patient education (p=0.011), living place (p=0.044) and combined socioeconomic status (p=0.024). These relationships persisted in multiple multinomial logistic regressions. Other variables, however, had no significant correlation. Conclusions: Patient education, combined socioeconomic status and living place are important variables in stage at diagnosis of breast cancer in Iranian women. Interventions have to be applied with the aim of raising women's accessibility to diagnostic and medical facilities and also awareness in order to reducing delay in referring. In addition, covering breast cancer screening services by insurance is recommended.

• Journal of Fashion Business
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• v.15 no.3
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• pp.1-21
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• 2011

This study is designed to identify how Demographic Factors affect Fashion Orientation(value), Fashion Response, and Buying Criteria. A total of 355 usable data was collected from housewives in three metropolitan cities(Seoul, Daejeon, Sungnam) in Korea. Young housewives who have one child are a market segment whose buying power is recognized by both the retailers and the market. The housewives' fashion orientation consists of four categories : social orientation, practical orientation, political orientation, and aesthetic orientation. The housewives' fashion response is classified into three areas : self conscious, self esteem, and self monitoring. The criteria of buying children's wear consists of nine components. As a result, the key reason for buying children' wear was 'attractive design'. Research result showed that POLITICAL ORIENTATION(SE beta=.229, p<.001) was more effective than AESTHETICS ORIENTATION(SE beta=.203, p<.001), for enhancing SELF-CONSCIOUS RESPONSE and SELF-ESTEEM RESPONSE. Therefore, this study suggests that the key factor for understanding trend can be a human self concept, consciousness, values, and orientation. The housewives' fashion orientation is responsible for 18.7% of BRAND ROYALTY(F = 20.172, p<.001) from among nine buying criteria. More poignantly, POLITICAL ORIENTATION covered 66.9% of selection of BRAND ROYALTY, and it explained 34.6% of selection of DESIGN among nine buying criteria. Thus, it showed that POLITICAL ORIENTATION(SE beta=.331, p<.001) is more effective than SOCIAL ORIENTATION(SE beta=.146), for upgrading BRAND ROYALTY. In addition, it showed that POLITICAL ORIENTATION(SE beta=.238, p<.001) is more effective than AESTHETICS ORIENTATION(SE beta=.040) for upgrading DESIGN evaluation. Housewives' fashion orientation, and fashion response are differentiated by demographic factors, such as occupation, women's career, husband' job, income, and location related to social status.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.1-13
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• 2017

The aim of this study is to investigate the demographical differences in technostressors(cause technological stresses). Although previous studies have been conducted to investigate the factors that affect technostress, little studies have examined the differences in demographic factors. Therefore, this study empirically attempts to investigate how level of technostressors differ by demographic factors. Independent sample t-test was used to identify differences after dividing sample into two groups. The technostressors used in this work are work overload, life invasion, complexity of technology, job insecurity, pace of technological change. We found that, sex and position show a significant difference in pace of technological change. In the educational level, there is a difference between work overload. Work overload, life invasion, complexity of technology, and pace of change show differences in age group. In computer knowledge, there are differences in complexity technology, job insecurity, and pace of change. On the other hand, there is no difference in computer using hours. Conclusions and implications are discussed in final section.

• Journal of the Korea Society for Simulation
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• v.26 no.3
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• pp.87-93
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• 2017

This study examines empirically whether appropriateness of training program, learning organization, and demographic factors enhance the effectiveness of training program for HRD in small and medium companies. The major findings are as follows: The appropriateness of training program, learning organization, and demographic factors of employee has a strong positive effect on the effectiveness of training program for human resource development and intent to participate in the training program in small and medium enterprise. The learning organization has a strong positive effect on the effectiveness of training program for human resource development and intent to participate in the training program in small and medium enterprise. Also effectiveness of training program for human resource development and intent to participate in the training program in small and medium enterprise is different according to demographic factors such as job type(blue collar job, office job, sales job), rank of job position, and the length of service in organization. The significant results of this study is that appropriate design of training program to make employees understand the purpose of education and trying to activate the learning organization can increase the effectiveness of traing program in small and medium enterprise.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.563-568
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• 2016

Background: Breast cancer is the most prevalent cancer in women worldwide and its frequency is increasing gradually in many countries. Over the last three decades an increase in the breast cancer has been witnessed in the earlier low-risk Asian countries including Pakistan. Purpose: The objective of the current study was to assess the prevalence of known risk factors like early menarche, late menopause, socio economic, reproductive and demographic factors, among women diagnosed with breast cancer at INMOL hospital, Lahore, Punjab, as little information exists in this regard. Materials and Methods: A survey study was conducted on 200 women diagnosed with breast cancer who were seen at Institute of Nuclear Medicine and Oncology (INMOL) hospital, Lahore. A structured questionnaire was administered to these patients regarding the known risk factors through face to face interviews after obtaining appropriate consent. Results: Regarding non-modifiable risk factors, our study showed that majority of the breast cancer patients were diagnosed at 35-45 years (32.5%) or at older age (${\leq}46$) and experienced menarche at 12 years or older (66 %). Likewise, a large number of patients reached menopause at the age of 45 years (60%), had no family and personal history of breast cancer (80%) and hence fell in a low risk category. Regarding modifiable risk factors in women diagnosed with breast cancer, most of the patients fell in low risk strata as the majority were married (98%) at young age, breastfed their children for 12 months or more (88%) and bore two to three children (80%). Considering income criteria, the majority of the patients had a low risk profile as they belonged to middle class (70%), urban area (60%) and were house wives (80%). However, it was noted that a considerable number of women (34%) diagnosed with breast cancer experienced menarche at an early age (<12) and reached menopause after the age of 45 years. This situation is further augmented by environmental changes and dietary habits and places them in a high risk category.

• Journal of Nutrition and Health
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• v.39 no.7
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• pp.684-691
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• 2006

Abdominal obesity (AO) is a strong risk factor for type 2 diabetes and cardiovascular disease, which has shown a remarkable increase in Korea. This study aimed to identify prevalence of AO and related risk factors in Korean adults. A total of 5,132 men and women aged 20-85 years old from the 2001 Korean National Health and Nutrition Examination Survey were included in the analyses. AO was defined as waist circumference >=90 cm in men and >=85 cm in women as proposed by Korean Society of Obesity. Multiple logistic regression was carried out to identify risk factors for AO. Three models were specified: (i) demographic and socioeconomic factors (model 1: age, education, poverty income ratio, employment), (ii) lifestyle factors and covariates (model 2: physical activity, cigarette smoking, alcohol consumption, dietary quality, type 2 diabetes, co-morbidity) and (iii) demographic, socioeconomic and lifestyle factors (model 3). The prevalence of AO was 24.1 % in men, 23.5% in women. High poverty income ratio in men and low education attainment in women were risk factors for AO in model. 1. There was a significant association of AO with alcohol consumption, physical inactivity and dietary quality in men, alcohol consumption and cigarette smoking in women. These factors except alcohol consumption in men became insignificant in model 3. This findings underscore the importance of developing AO prevention programs in Korea that target the at risk groups identified in this study. A program focusing on low income men or less educated women would be more efficient.