• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.409-417
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• 2023

The objective of this paper is to analyze the disparities in perceptions regarding gender-related matters among students at K University, determined by their gender, and to propose solutions within the university education system. The results of the study are as follows. First, many men believe that there is no structural discrimination against women and that men are discriminated against, whereas women show the opposite. Second, men and women show statistically significant differences in perception of women's level of effort, reasons for low income, and work ability after employment. Third, men show unfavorable attitudes towards feminism compared to women. Fourth, the reasons men show hostile attitudes toward the female quota system and feminism include the influence of the traditional gender role model imposed on men and the difference in men's and women's views on structural inequality. To reduce the perception gap between men and women, it is necessary to reconsider hegemonic masculinity, apply issue-centered education using accurate information, publicize issues by preparing a mistake-friendly space, and respond to the perception gap at the university level from the perspective of citizenship education.

• Journal of Preventive Medicine and Public Health
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• v.47 no.2
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• pp.94-103
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• 2014

Objectives: The present study examined relationships between socioeconomic status (SES) and obesity and body mass index (BMI) as well as the effects of health-related behavioral and psychological factors on the relationships. Methods: A cross-sectional population-based study was conducted on Korean adults aged 20 to 79 years using data from the 2001, 2005, and 2007 to 2009 Korea National Health and Nutrition Examination Survey. Multivariate logistic and linear regression models were used to estimate odds ratios of obesity and mean differences in BMI, respectively, across SES levels after controlling for health-related behavioral and psychological factors. Results: We observed significant gender-specific relationships of SES with obesity and BMI after adjusting for all covariates. In men, income, but not education, showed a slightly positive association with BMI (p<0.05 in 2001 and 2005). In women, education, but not income, was inversely associated with both obesity and BMI (p<0.0001 in all datasets). These relationships were attenuated with adjusting for health-related behavioral factors, not for psychological factors. Conclusions: Results confirmed gender-specific disparities in the associations of SES with obesity and BMI among adult Korean population. Focusing on intervention for health-related behaviors may be effective to reduce social inequalities in obesity.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.541-548
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• 2020

This study aimed to explain the factors that influenced an individual's decision to migrate. The method of analysis in this study was the estimation of the probit regression model with data from the Indonesian Family Life Survey (IFLS-5), which covered 30,000 individuals from 13 provinces in Indonesia. Data from IFLS-5 were longitudinal data, meaning that the study was looking for data consistently to get reliable data from respondents. The research variables to determine the individual's decision to migrate were education level, income level, employment status, marital status, land ownership status, health quality, gender, residence status, and poverty status. Individual decision to migrate as a dependent variable was placed as a dummy variable. The results showed that the level of education, income level, employment status, marital status, land ownership status, health quality, and poverty status significantly influenced an individual's decision to migrate. Meanwhile, gender and residence status did not significantly affect an individual's decision to migrate. This research recommends that it is necessary to pursue a policy of economic equality between regions because economic factors are the main trigger for an individual's decision to migrate. Policies to overcome economic disparities among regions will reduce the individual's decision to migrate.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.969-980
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• 2020

This study examines the acceptance factors, barriers, benefits, and strategies for resolving Information and Communication Technology (ICT) adoption and usage problems based on the different demographic characteristics of SMEs. The demographic characteristics investigated are gender, educational qualifications, age, managerial status, and years of business experience. To the best of our knowledge, this paper is the first to examine a more comprehensive demographic characteristics in the context of ICT adoption. A survey using self-administered questionnaires was conducted to retrieve information from SME owners/managers in Pekalongan, the local city of Indonesia. The items in the questionnaire were discussed with various experts in the field and a pilot study was conducted prior to the distribution of the research instrument. The study made some interesting findings. No significant differences were found in the SMEs' adoption factors between the demographics of gender groups and educational qualifications. However, significant disparities were found to exist among the age compositions, managerial status, and years in business. Additionally, younger managers/owners of SMEs find it easier to understand the background factors of ICT adoption. Lastly, older managers/owners are more likely to stick to the organizational status quo, be less able to learn new technology, and more likely to avoid risky decisions.

• Asian Journal of Innovation and Policy
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• v.12 no.1
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• pp.131-154
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• 2023

This study investigates the productivity of Indonesian social scientists during the COVID-19 pandemic, with a particular concentration on their contributions to COVID-19 prevention and management. By categorizing social science research according to themes such as authors' gender, authors' institution of origin, forms of collaboration, and journal quality, this study examines the patterns and factors that influence research output. Using information from the Scopus database, 1,071 journal articles were analyzed in total. The findings indicate that collaborations with foreign researchers considerably improve productivity and publication quality, with Malaysian and Australian institutions serving as the most active partners. Nevertheless, there are gender disparities, as female authors write and are cited less frequently than male authors. The study stresses the importance of increasing international collaboration among Indonesian authors and implementing affirmative action policies to support and empower female researchers. This study contributes to the existing body of knowledge by providing policymakers, funding agencies, and academic institutions with recommendations for fostering a more inclusive and influential research environment in Indonesia.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.241-248
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• 2022

This study examines changes in income for Vietnam's service labors during COVID-19. A person's income depends on several factors, such as educational level, working area, the number of activities creating jobs, the cost of living, investment, etc. This research was based on a survey of 479 workers in Vietnam's service sector, who were evenly distributed across sectors (tourism and aviation) and workplaces (State and private). Based on the collected data, the REM regression model was used to analyze the factors influencing employee income when COVID-19 took place. The research returns show that the COVID-19 pandemic has had a considerable influence on labor incomes, and there are income disparities that exist between workers by work area and by gender. This study indicates that workers' wages in Vietnam decreased by an average of 12.22 million VND per month after the outbreak of COVID-19. In addition, the results also show that the income of workers after COVID-19 differs depending on their position (the average salary of laborers working in the public sector is about 3.946 million VND higher than the average salary of laborers in the private sector); furthermore, the incomes of workers also vary by gender.

• Safety and Health at Work
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• v.14 no.4
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• pp.488-491
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• 2023

This study aims to ascertain occupations potentially at greatest risk of exposure to SARS-CoV-2 based on pre-lockdown working conditions in France. We combined two French population-based surveys documenting workplace exposures to infectious agents, face-to-face contact with the public, and working with colleagues just before the pandemic. Then, for each 87-level standard French occupational grouping, we estimated the number and percentage of the French working population reporting these occupational exposure factors, by gender, using survey weights. As much as 40% (11 million) of all workers reported at least two exposure factors. Most of the workers concerned were in the healthcare sector. However, army/police officers, firefighters, hairdressers, teachers, cultural/sports professionals, and some manual workers were also exposed. Women were overrepresented in certain occupations with potentially higher risks of exposure such as home caregivers, childminders, and hairdressers. Our gender-stratified matrix can be used to assign prelockdown work-related exposures to cohorts implemented during the pandemic.

• Journal of Preventive Medicine and Public Health
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• v.48 no.2
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• pp.84-93
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• 2015

Objectives: The present study was conducted in order to examine the association between socioeconomic status (SES) and osteoporosis prevalence in Korea and to assess whether different associations are found in single-person households. Methods: A cross-sectional population-based study was conducted using the Korea National Health and Nutrition Examination Survey, from 2008 to 2011. The study subjects were people aged ${\geq}50$ years with osteoporosis as defined by bone mineral density. Multivariate logistic models were used to estimate prevalence odds ratios (pORs) and 95% confidence intervals (CIs). Gender differences in the likelihood of osteoporosis were analyzed based on household income, education level, and residential area. Results: There were 8221 osteoporosis patients aged ${\geq}50$ years, of whom 927 lived in single-person households. There was a gender-specific association between osteoporosis prevalence and all three SES factors that we analyzed: income, education, and residential area. After adjusting for age, SES, and health behaviors, including body mass index (BMI), low household income was only significantly associated with osteoporosis in men, whereas education level had an inverse relationship with osteoporosis only in women (p=0.01, p<0.001, respectively). However, after controlling for age and BMI, rural residency was only associated with osteoporosis in women living in single-person households (pOR, 1.59; 95% CI, 1.05 to 2.43). Conclusions: The Korean adult population showed a gender-specific relationship between SES and osteoporosis prevalence, with a different pattern found in single-person households.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.199-211
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• 2023

Purpose : Rapid population aging in South Korea is emerging as serious social problems, and interest in the health-related quality of life of the elderly is also increasing. Therefore, this study attempted to provide basic data to develop measures to improve the health-related quality of life of the elderly by identifying the impact of the elderly's dietary lifestyle on the health-related quality of life. Methods : Utilizing raw data from the Korea national health and nutrition examination survey spanning from 2011 to 2020, this study focused on individuals aged 65 and above. After excluding cases with missing data, 12,731 individuals were included in the final analysis. Various statistical methods including frequency analysis, t-tests, ANOVA, Scheffé test and hierarchical regression analysis were performed using SPSS 25.0 for windows. The statistical significance level (α) was set at .05. Results : The main results of this study were as follows. Firstly, dietary lifestyle exhibited variations depending on gender, age, education level, individual income, basic livelihood type, household type, self-rated health status, and chewing difficulty (p<.001). Secondly, there were disparities in health-related quality of life (as measured by the EQ-5D index) based on gender, age, education level, residence, individual income, basic livelihood security, self-rated health status, and chewing difficulty (p<.001). Thirdly, the EQ-5D index showed that elderly individuals' dietary lifestyle adversely impacted their health-related quality of life (F=353.74, p<.001). Conclusion : Therefore, it is necessary to prepare policies to improve the health-related quality of life by maintaining a proper diet for the elderly, and customized support and management is required taking into account the elderly's gender, age, education level, individual income, basic livelihood security, household type, self-rated health status, chewing difficulty etc.

• Journal of the Korean Society of School Health
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• v.20 no.1
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• pp.63-75
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• 2007

Purpose: With economic development and prolonged longevity, the level of health and health disparities have became growing concerns for individual and society as well. Since youth's health status are influenced by households' socioeconomic status and associated with heath status in later stage of life, assessing health inequality in the youth is a significant step toward lessening health disparity and promoting health. We measured health inequality in high school students and decomposed it into health factors. Methods: The subjects included 3,787 high school students of 12th graders from the Korea Education and Employment Panel (KEEP) in 2004. True health status was assumed as a latent variable and estimated by ordered logistic regression model. The predicted health was used as a measure of individual health after rPSraling to [0,1] interval. Total health inequality was then measured by Gini coefficient and was decomposed into health factors. Results: Health inequality in high school students was observed. Of total health inequality, 44% was explained by biological factors such as body mass index (BMI) (32.5%) and gender (13.5%). Behavioral factors such as smoking, drinking, physical activity, hours in bed and hours of computer ussge added to 11.7%. Household income and work experiences explained 5.6% and 8.8%, respectively. School satisfaction explained 14.6%. Other school related factors such as self-assessed achievement and experience of being bullied accounted for 15.5%. Conclusion: Among the health factors, biological factor was the most important contributor in health disparity. Other factors such as health behaviors, socioeconomic factors, school satisfaction and school related factors exhibited somewhat similar magnitude. For policy purposes, it is recommended to look into modifiable factors depending BM, gender and school surroundings.