• Nutrition Research and Practice
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• v.18 no.1
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• pp.132-148
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• 2024

BACKGROUND/OBJECTIVES: This study aimed to assess the current mean daily intake of 10 food groups, analyze the sociodemographic factors associated with food consumption, and determine the associations between food consumption/dietary intake and the prevalence rates of obesity, type 2 diabetes (T2D), and hypertension (HTN) in Jakarta, Indonesia. SUBJECTS/METHODS: A total of 600 participants aged 20-85 yrs were included in this cross-sectional study. Food consumption and dietary habits were assessed using a food frequency questionnaire. To determine the association between food consumption/dietary habits and the abovementioned diseases, logistic regression analysis was performed. RESULTS: The average vegetable and fruit intake was lower, while sugar and salt consumption were higher than that recommended by Indonesia's national dietary guidelines. A high intake of ultra-processed foods (UPFs) was associated with young age, men, "single" status, a high education level, and employment with a high monthly income. Obesity and T2D were positively correlated with high intakes of cereals and tubers, UPFs, sugars, fats, and oils. Conversely, an inverse association was found between legume, vegetable, and fruit consumption and obesity risk. An inverse correlation was also observed between vegetable consumption and T2D risk. Moreover, a high salt intake was inversely correlated with fruit consumption in terms of HTN risk. Non-indulgence in habitual late-night snacking and refrainment from consuming more than one dish at each meal were also negatively related to the prevalence of obesity, T2D, and HTN. Inverse correlations were also observed between the prevalence rates of T2D and HTN and abstaining from adding sugar to beverages. CONCLUSION: Foods high in fat, sugar, and sodium were strongly associated with the risks of obesity, T2D, and HTN. Additionally, poor eating habits were also associated with disease development.

• Culinary science and hospitality research
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• v.16 no.3
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• pp.76-93
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• 2010

This study analyzed the dietary lifestyle among housewives and found out the effect of dietary lifestyle on consumption pattern of soybean paste. Data were collected from 312 housewives living in Gyeongnam region through a self-administered questionnaire. According to the result of the factor analysis, dietary lifestyle were categorized into five factors: health-seeking type, convenience-seeking type, safety-seeking type, popularity-seeking type, and taste-seeking type. About thirty-five percent of the respondents knew the way how to prepare soybean paste while nineteen percent did not. There were significant differences in awareness regarding how to prepare soybean paste according to healthy-seeking lifestyle, convenience-seeking lifestyle, safety-seeking lifestyle, and popularity-seeking lifestyle. Thirty-seven percent of the respondents obtained soybean paste from family or relatives, whereas twenty-six percent made it at home. The result of the multinomial logistic regression analysis showed that the factors affecting the ways of obtaining soybean paste were age, monthly household income, employment status, coresidence with parent(s), husband's parent(s), or older relative(s), dwelling types, healthy-seeking lifestyle, convenience-seeking lifestyle and safety-seeking lifestyle.

• Journal of Families and Better Life
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• v.23 no.2 s.74
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• pp.149-157
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• 2005

The purpose of this study was to identify current housing status and housing awareness such as housing values, satisfaction, and preferences among households with one child. Data were obtained from a questionnaire completed by both husbands and wives living in metropolitan area and aged between 25 and 45. Selected variables were the age, education level, and employment status of housewives, ideal number of children, monthly income, plan to give birth, and so on. Using purposive sampling method, five hundred questionnaires were administered and 360 questionnaires were analyzed. In accordance with the questions related to housing values, housing satisfaction of respondents was examined. In order to compare the housing values, preferences, and satisfaction among diverse variables of respondents, mean, t-test, F test, Duncan's multiple range test, $x^2$ test, and factor analysis were used. The major findings of this study are as follows: First, there were significant differences in current housing type, tenure type, and floor area according to housewives' age, education level, monthly income, and plan to give birth. Interestingly, households not having a plan to give birth in the future were living in larger house than the households having a plan to give birth. Second, housing values of households with one child were divided into 4 factors-environmental comfort, economy and convenience, social status symbolism, and adequacy of space planning. Items related to privacy showed the biggest difference between housing values and housing satisfaction. Third, most of the respondents wanted larger house than current housing. However, the need for quality of housing including floor area and amenities was significantly higher among households not having a plan to give another birth than households having a plan to give birth in the future.

• Journal of Labour Economics
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• v.29 no.1
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• pp.75-98
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• 2006

This study shows a theoretical model, based on transaction cost theory, for the choice of alternative work arrangement, Suppose that standard labor contract (permanent and full-time) is a typical labor contract of within-organization transaction and alternative labor contracts of variety are in the spectrum between market and within-organization transaction, the type and size of the market transaction cost for a specific labor would determine the appropriate labor contract. Firm-specificity and level of skill, scope and uncertainty of tasks, and duration of contract are the major determinants of transaction cost which, in turn, determines the type of labor contract. This theoretical model implies that there will be occupational segregation between standard and alternative work arrangements and that the legal regulations for protecting employment and wage of non-standard workers might not be so effective as expected.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.189-207
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• 2016

Sharing and reutilizing of research data could not only enhance efficiency and transparency of research process, but also create new science through data integrating and reinterpretationing. Diverse policies about research data sharing and reutilizing have been developing, along with extending of research evaluating spectrum that across research data citation rate to social impact of research output. This study analyzed the scale and citation number of research data which has not been analyzed before in korea through data citation index using Kruskal-Wallis H analysis. As result, genetics and biotechnology are identified as subject areas which have most huge number of research data, however the subject areas that have been highly cited are identified as economics and social study such as, demographic and employment. And Uk Data Archive, Inter-university Consortium for Political and Social Research are analyzed as data repositories which have most highly cited research data. And the data study which describes methodology of data survey, type and so on shows high citation rate than other data type. In the result of altmetrics of research data, data study of social science shows relatively high impact than other areas.

• Korean Journal of Social Welfare
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• v.58 no.2
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• pp.119-141
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• 2006

This study aims to explore the status and characteristics of the working poor and to identify the major determinants of their statistic status. For this, longitudinal panel data (from 2nd wave(1999) data to 7th wave(2004) data) from Korean Labor and Income Panel Study (KLIPS), is used. The data is analyzed by adopting Hierarchical Generalized Linear Model (HGLM), which is known as an app.opriate data analysis method for the hierarchically structured data, to look at the factors that affect on the poverty status of the working people. The results show that 1) it is estimated that about 1 out of 10 working people (about 10.0%) are poor, and 2) sex, education level, marital status, region where they lives, employment status, occupation type, and industry type that they are working at are significant predictors in determining their poverty status. Unlike the results of the previous studies, however, the number of the household member, age are not influenced on their poverty status. Based on these results, several policy implications are presented at the end of this paper.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.6 no.1
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• pp.83-87
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• 2012

This study is aimed to identify latent classes which are based the change patterns in assistive technology device use among worker with disabilities and to test the effects of independent variables(gender, education, disability type, disability density, activity and participation of ICF: ICF, subjective socioeconomic status: SES, job satisfaction, life satisfaction) on determining latents classes. This study applied Nagin's(1999) semi-parametric group based approach to the panel survey of employment for the disabled. Because dependant variable has dichotomous scale, logit model was used. The results identified three latent classes, which could be defined based on the patterns as follows; assistive device continued use group, assistive device mid-level use group, assistive device sharp decline use group. The effects of the independent variables on the latent classes was tested by multinomial logit analysis. The results showed that education, disability type, ICF, SES, and life satisfaction were significant determinants of the latent classes. Finally, the implications based on analysis results were suggested.

• 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.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.477-488
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• 2022

The purpose of this study is to identify the factors influencing the depression in workers with diabetes mellitus. Using data from the Korean National Health and Nutrition Examination Survey (KNHANES). 685 workers with diabetes mellitus who were ≥30 years of age were enrolled. Depression was evaluated on the basis of PHQ-9 levels. Data were analyzed by complex sample linear regression using SPSS/WIN 23.0. The factors influencing depression included gender, age, household type, household income level, education level, type of employment (p>.05). The additional factors included stress perception level, weekly walking days (p>.05). Therefore, it is necessary to prepare systematic programs for depression and a support system for health promotion plan for diabetes mellitus in work places and throughout society. In addition, research on depression management program development is needed.

• Analyses & Alternatives
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• v.8 no.2
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• pp.117-140
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• 2024

Major countries are actively pursuing policies to promote entrepreneurship to foster economic growth and employment. Meanwhile, although South Korea's entrepreneurial ecosystem has shown robust quantitative growth since the COVID-19 pandemic, it is still criticized for its shortcomings compared to other major countries. Based on this, this study aims to derive a comprehensive innovation entrepreneurship index for each country to foster an innovative entrepreneurial ecosystem and sustainable growth in South Korea. Specifically, this study first analyzed the entrepreneurial ecosystem of various countries. Second, we utilizing data from sources such as the Global Entrepreneurship Monitor, Global Innovation Index, and World Bank, the study calculates a comprehensive innovation entrepreneurship index for each country. Finally, this study analyzes the type of South Korea's innovation entrepreneurship index and suggests the future direction of through cluster analysis.