• Title/Summary/Keyword: Cross-sectional Data Analysis

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Utilization of Work-Family Balance Support Policy and Factors Associated with Retention Intention among Married Female Officers with Preschool Children (미취학 자녀를 둔 기혼 여군 장교의 일·가정 양립 지원제도 활용 정도와 재직의도 영향요인)

  • Kwon, Jo Eun;Kim, Gwang Suk;Park, Jeongok;Kim, Sue
    • Women's Health Nursing
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    • v.25 no.3
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    • pp.329-344
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    • 2019
  • Purpose: This study aimed to identify utilization of the work-family support policy (WFSP) and factors affecting retention intention among Korean female military officers. Methods: This cross-sectional survey recruited 103 married female officers from the Korean Army, Navy, and Air force with preschool-aged children through convenience and snowball sampling. Via online surveys from June to November, 2018, the participants self-reported retention intention, work-family conflict, job satisfaction, and utilization of the WFSP. The data were analyzed using descriptive statistics, independent t-tests, one-way analysis of variance, Pearson's correlation coefficient, and multiple linear regression. Results: Retention intention ($22.29{\pm}5.98$) was reported at the mid-level, lower than scores reported in the literature for female workers. Work-family conflict ($32.51{\pm}5.29$) and job satisfaction ($63.10{\pm}7.45$) were above the midpoint levels. Use of maternity leave (100.0%) and parental leave (92.2%) was high, especially compared to the rates of child-care day off (20.4%) and parenting time (20.4%). 'Noticeable increases in childcare services within the army' (22.8%) was reported as the supportive measure needed the most by female military officers. Job satisfaction (${\beta}=.43$, $p{\leq}.001$), the use of parenting time (${\beta}=-0.29$, p=.002), living type (${\beta}=-.18$, p=.043), and service type (${\beta}=-.16$, p=.035) significantly influenced retention intention. Conclusions: The findings highlight the priority areas of importance within the WFSP and suggest that a family-friendly culture can improve female officers' retention intention. Accordingly, policy changes at the Ministry of National Defense improving the system to enhance a family-friendly culture in the military is expected to strengthen the retention intention of female officers and contribute to excellence in the military workforce.

Socioeconomic Inequalities in Cervical and Breast Cancer Screening among Women in Korea, 2005-2015

  • Choi, Eunji;Lee, Yoon Young;Suh, Mina;Lee, Eun Young;Mai, Tran Thi Xuan;Ki, Moran;Oh, Jin-Kyoung;Cho, Hyunsoon;Park, Boyoung;Jun, Jae Kwan;Kim, Yeol;Choi, Kui Son
    • Yonsei Medical Journal
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    • v.59 no.9
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    • pp.1026-1033
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    • 2018
  • Purpose: Consistent evidence indicates that cervical and breast cancer screening rates are low among socioeconomically deprived women. This study aimed to assess trends in cervical and breast cancer screening rates and to analyze socioeconomic inequalities among Korean women from 2005 to 2015. Materials and Methods: Data from the Korean National Cancer Screening Survey, an annual nationwide cross-sectional survey, were utilized. A total of 19910 women were finally included for analysis. Inequalities in education and household income status were estimated by slope index of inequality (SII) and relative index of inequality (RII), along with calculation of annual percent changes (APCs), to show trends in cancer screening rates. Results: Cervical and breast cancer screening rates increased from 54.8% in 2005 to 65.6% in 2015 and from 37.6% in 2005 to 61.2% in 2015, respectively. APCs in breast cancer screening rates were significant among women with higher levels of household income and education status. Inequalities by household income in cervical cancer screening uptake were observed with a pooled SII estimate of 10.6% (95% CI: 8.1 to 13.2) and RII of 1.4 (95% CI: 1.3 to 1.6). Income inequalities in breast cancer screening were shown to gradually increase over time with a pooled SII of 5.9% (95% CI: 2.9 to 9.0) and RII of 1.2 (95% CI: 0.9 to 1.3). Educational inequalities appeared to diminish over the study period for both cervical and breast cancer screening. Conclusion: Our study identified significant inequalities among socioeconomically deprived women in cervical and breast cancer screening in Korea. Especially, income-related inequalities were greater than education-related inequalities, and these were constant from 2005 to 2015 for both cervical and breast cancer screening.

The Relationship between Lifestyle Choices and Substance Addiction in Young Adults (국내외 청년의 라이프스타일과 물질중독의 관련성)

  • Jang, Se Eun;Yun, Mi-Eun;Kim, Jinsoo Jason;Kim, Sun-Hee;Ramirez, Francisco Eddie;Nedley, Neil
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.580-595
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    • 2022
  • This study looked at the relationship between lifestyle choices and various substance addictions in young adults by applying the Relapse Prevention model of addiction. The data was obtained from a cross-sectional questionnaire (Depression and Anxiety Assessment Test) of 926 young adults aged 18~24 from 24 countries. Of these, 17.6% reported that they had a serious substance addiction, with alcohol addiction being the highest (11.2%), followed by nicotine (10.3%) and illicit drug (8.7%) usage. Results of chi-square test and logistic regression analysis revealed a significant association between various lifestyle factors (exercise patterns, intake of dietary nutrients like tryptophan, folic acid, omega-3 fatty acids and micronutrients, spiritual habits such as Bible reading and prayer) and addiction to various substances (illicit drugs, alcohol and nicotine). Depression was also found to be a significant factor influencing substance addiction. Interestingly, the risk of alcohol abuse was the highest at 9.870 (95% CI: 4.525-21.525) times among those who didn't have the habit of daily Bible reading. The highest risk of nicotine and illicit drug addiction was among those who consumed 'less than 1 serving' of dietary micronutrients per day compared to those who consumed '5 or more servings', with odds ratios of 9.606(95% CI: 2.726-30.111) and 8.642(95% CI: 2.022-37.378), respectively. These findings suggest that holistic lifestyle interventions may help prevent and reduce substance addiction in young adults.

Analyzing the impact on logistics outsourcing success for Ugandan food processing firms through third-party logistics service providers' capabilities (제3자 물류 서비스공급자의 역량을 통한 우간다 식품 가공업체의 물류 아웃소싱 성공에 대한 영향 분석)

  • Alioni, Christopher;Park, Byungin
    • Journal of Korea Port Economic Association
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    • v.38 no.4
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    • pp.45-64
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    • 2022
  • Due to the recent and rapid globalization, logistics outsourcing has expanded globally and is seen as a means of creating a robust logistics system. However, many businesses continue to have difficulties with their logistics outsourcing contracts, which compels them to reinstate the logistics function for internal management. This study aims to investigate how organizational capabilities of logistics service providers (LSPs), notably flexibility, integration, innovation, and technological capabilities, impact on the logistics outsourcing success in Ugandan food processing firms. Using a structured questionnaire survey, cross-sectional data collected from 211 food processing firms in Kampala - Uganda were analyzed by partial least squares-structural equation modeling (PLS-SEM) using SmartPLS 3.3.7 software to examine the theorized relationships. The study findings revealed that whereas the technological and innovation capabilities positively and significantly influence logistics outsourcing success, the effects of flexibility and integration capabilities were insignificant. Additionally, the importance-performance map analysis (IPMA) reveals that the technological capability is a priority capability, followed by the innovation capability if logistics outsourcing success is to be achieved. Conversely, flexibility and integration capabilities are of low priority.

Factors influencing farmed fish traders' intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model

  • Jimmy Brian Mboya;Kevin Odhiambo Obiero;Maureen Jepkorir Cheserek;Kevin Okoth Ouko;Erick Ochieng Ogello;Nicholas Otieno Outa;Elizabeth Akinyi Nyauchi;Domitila Ndinda Kyule;Jonathan Mbonge Munguti
    • Fisheries and Aquatic Sciences
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    • v.26 no.2
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    • pp.105-116
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    • 2023
  • Improved fish post-harvest technologies (IFPT) have been promoted as more efficient methods of fish processing, preservation, and value addition than the traditional methods prevalent in developing countries. The adoption rates, however, do not appear to be convincing. The purpose of this study was to determine the socio-demographic and psychological factors that influence intention of Kenyan farmed fish traders to use IFPT. The technology acceptance model (TAM) was used to properly explain the impact of TAM constructs such as perceived usefulness (PU), perceived ease of use (PEOU), and attitude (ATT), as well as socio-demographic factors such as gender, age, education level and fish trading experience on traders' intention to use the technologies. A cross-sectional survey was conducted to collect data using a semi-structured questionnaire from 146 traders in Busia, Siaya and Kakamega counties. At a significance level of p = 0.05, a linear regression model was used to examine the socio-demographic and psychological determinants of the traders' behavioral intention to use the improved technologies. The regression analysis revealed that PU (β = 0.443; p = 0.000), PEOU (β = 0.364; p = 0.000) and ATT (β = 0.615; p = 0.000) influence traders' intention to use IFPT, with ATT having the highest influence on intention. However, the traders' socio-demographic characteristics have no effect on their intention to use the technologies, as the coefficients for gender (β = 0.148; p = 0.096), age (β = 0.016; p = 0.882), level of education (β = -0.135; p = 0.141) and fish trading experience (β = 0.017; p = 0.869) are all insignificant. These findings show that the traders intend to use IFPT and will use them when it is in their best economic interests.

A Study on the Effects of Discrimination Experience on Self-image and Self-esteem among the Korean elderly: Moderating Effects of Social and Economic Activity Participation (노인의 차별경험이 자아이미지와 자아존중감에 미치는 영향에 관한 연구: 사회·경제적 참여의 조절효과를 중심으로)

  • Ahn, Joonhee;Kim, Seongyong
    • 한국노년학
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    • v.29 no.4
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    • pp.1645-1663
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    • 2009
  • The purpose of the study is to analyze the mediating effects of self-image on the relationship between experience of discrimination and self-esteem among the elderly in Korea. Furthermore, it is to explore whether these effects are moderated by social and economic activity participation. Data were collected from a cross-sectional survey of 543 community-dwelling Korean older adults (age≥65) drawn from community and senior centers in the mid-size city in Korea. The statistical analysis was performed by a structural equation modeling using LISREL statistical program. The results are fourfold. First, experiences of discrimination exerted the negative effects on physical, dispositional, and competent self-images of the elderly. Second, dispositional and competent self-image brought down by discriminative experiences lowered the levels of self-esteem. Third, social activity participation moderated the negative effects of discrimination experiences on physical and dispositional self-images. It also moderated the effects of dispositional self-image on self-esteem. Fourth, economic activity participation did not show moderating effects on the relationship between experience of discrimination and self-images. Meanwhile, it moderated the effect of competent self-image on self-esteem. These results demonstrate that to improve self-esteem of the elderly population, social welfare policies should make effort to reduce discrimination toward the elderly. Furthermore, social welfare organizations should also try to implement diverse community based programs geared for enhancing social and economic activities for elderly. Limitations and directions for future research are also discussed.

Analysis of the Association between Teacher Relationship, Peer Relationship, and Multicultural Acceptability among Adolescents in Korea: Using Latent Growth Modeling (교우관계와 교사관계가 청소년의 다문화수용성에 미치는 영향에 대한 분석: 다변량 잠재성장모형의 적용)

  • Taekho Lee;Seokyoung Lee;Yoonsun Han
    • Korean Journal of Culture and Social Issue
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    • v.22 no.1
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    • pp.65-85
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    • 2016
  • In this study, we examined the longitudinal change of multicultural acceptability, peer relationship, and teacher relationship using latent growth curve modeling. This study used data from the second, third, and fourth waves of the middle school student cohort (N=2,178) of the Korean Children-Youth Panel Survey (KCYPS). The dependent variable was multicultural acceptability. The independent variables were peer relationship and teacher relationship. The major longitudinal findings of this study are as follows: First, peer relationships, teacher relationships and multicultural acceptability increased with time. Second, peer relationship showed a significant effect on the multicultural acceptability over time. Finally, the teacher relationship showed a significant effect on the multicultural acceptability over time. These results show differentiation with previous cross-sectional studies of multicultural acceptability. Furthermore, it is expected that this study will provide educational implications for the cultivation of multicultural acceptability.

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Barrier Factors Influencing Glycemic Control in Korean Adults with Diabetes (한국 당뇨병 성인의 혈당조절 장애요인)

  • Taehui Kim;Bohyun Kim
    • Journal of Industrial Convergence
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    • v.22 no.2
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    • pp.143-151
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    • 2024
  • This study compared the health behaviors, health related clinical characteristics between individuals with Glycated Hemoglobin A1C≧6.5% and < 6.5% in 30~59yr. Factors that were associated with A1C were identified by sex, health behaviors, health literacy. This study was an observational study with a cross-sectional design based on data from 2019~2021 Korea National Health and Nutrition Examination Survey. Multiple logistic regression analysis was employed to compute the odds ratios of health behaviors to identify the risk factors for Glycated Hemoglobin. The prevalence of A1C≧6.5% among the total was 79.4%(weighted %, n=348). In the A1C≧6.5%, 71.8% were men. In univariate logistic regression for A1C≧6.5%, sex, duration with diabetes, and body mass index(BMI) were influencing factors. In multiple logistic regression by sex, the factors associated with A1C≧6.5 in women were as follows: education(OR 4.5; 95% CI:1.1, 18.5), duration with diabetes(OR 2.9; 95% CI 1.1, 7.9). Strategies should be targeted to improve health behaviors and clinical characteristics for those in their sex, women in low education level, duration with diabetes. Moreover, healthcare providers should understand the barriers to health behaviors and health literacy to effectively deliver healthcare service.

A Study on the Risk of Conflict between Elderly or Non-elderly Pedestrians and Vehicles (고령/비고령 보행자와 차량간의 상충위험도 측정연구)

  • JANG, Jeong Ah;LEE, Hyunmi;CHOI, Keechoo
    • Journal of Korean Society of Transportation
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    • v.35 no.6
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    • pp.499-510
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    • 2017
  • Traffic accident fatalities in Korea in 2016 was 4,292 and 1,732 cases were deaths of elderly people. In spite of this, the researches on behaviors of the elderly when crossing roads, are rather limited. The purpose of this study is to investigate and analyze road crossing behavior characteristics of the elderly, when crossing roads, especially focusing on the characteristics of pedestrians and vehicles. Cross-sectional data was collected from six different sites in two regions and the following results was identified. First, at road crossings, 528 cases(84.3%) out of 626 conflict situations of the elderly and 303 cases(63.3%) out of 478 conflict situations of the non-elderly pedestrians were found to be dangerous, respectively. The elderly tend to face a statistically significant risk of 3.11 times higher than that of non-elderly people. Second, 519 cases(82.9%) of jaywalking occurred in 626 conflict cases of the elderly and 375 cases(78.5%) of jaywalking in 478 conflict events of non-elderly persons, which indicates the elderly's 1.34 times higher trend compared with the non-elderly's. Third, the pedestrian safety margin (PSM) analysis showed that the PSM of the elderly and the non-elderly were 3.33 seconds and 4.04 seconds respectively, which is 17.5% high. Fourth, the difference in pedestrian safety interval was examined by dividing the speed of approaching vehicle into less than 30km/h, above 30km/h and less than 50km/h, and over 50km/h. There was no significant difference between the PSM of coming vehicles with the speed less than 30km/h and the PSM of approaching with the speed 30km/h~50km/h, but the conflicts with vehicle of the speed above 50km/h show significantly lower PSM than with vehicle speed of 30km/h~50km/h. Finally, when the risk threshold is set to less than 2.5 seconds, the analysis shows that older pedestrians tend to cross roads dangerously 1.59~2.53 times than younger pedestrians. The results set forth here can be used as a basis for constructing the elderly safety measures at present and a potential basis for autonomous vehicle safety application in the future for solving the issue of the difference in crossing behavior between elderly and non-elderly pedestrians.

A Study on the Development Direction of Medical Image Information System Using Big Data and AI (빅데이터와 AI를 활용한 의료영상 정보 시스템 발전 방향에 대한 연구)

  • Yoo, Se Jong;Han, Seong Soo;Jeon, Mi-Hyang;Han, Man Seok
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.9
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    • pp.317-322
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    • 2022
  • The rapid development of information technology is also bringing about many changes in the medical environment. In particular, it is leading the rapid change of medical image information systems using big data and artificial intelligence (AI). The prescription delivery system (OCS), which consists of an electronic medical record (EMR) and a medical image storage and transmission system (PACS), has rapidly changed the medical environment from analog to digital. When combined with multiple solutions, PACS represents a new direction for advancement in security, interoperability, efficiency and automation. Among them, the combination with artificial intelligence (AI) using big data that can improve the quality of images is actively progressing. In particular, AI PACS, a system that can assist in reading medical images using deep learning technology, was developed in cooperation with universities and industries and is being used in hospitals. As such, in line with the rapid changes in the medical image information system in the medical environment, structural changes in the medical market and changes in medical policies to cope with them are also necessary. On the other hand, medical image information is based on a digital medical image transmission device (DICOM) format method, and is divided into a tomographic volume image, a volume image, and a cross-sectional image, a two-dimensional image, according to a generation method. In addition, recently, many medical institutions are rushing to introduce the next-generation integrated medical information system by promoting smart hospital services. The next-generation integrated medical information system is built as a solution that integrates EMR, electronic consent, big data, AI, precision medicine, and interworking with external institutions. It aims to realize research. Korea's medical image information system is at a world-class level thanks to advanced IT technology and government policies. In particular, the PACS solution is the only field exporting medical information technology to the world. In this study, along with the analysis of the medical image information system using big data, the current trend was grasped based on the historical background of the introduction of the medical image information system in Korea, and the future development direction was predicted. In the future, based on DICOM big data accumulated over 20 years, we plan to conduct research that can increase the image read rate by using AI and deep learning algorithms.