• 지역사회간호학회지
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• 제17권2호
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• pp.153-165
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• 2006

Purpose: The purpose of this study was to develop and test a structural model on cardiovascular disease risk factors among male manufacturing workers. Methods: Data were collected through questionnaires and health exams from 201 workers in a local electronic company during September 2004. Data analysis was done with SAS 9.1 for descriptive statistics and PC-LISREL 8.54 for covariance structural analysis Results: The overall fit of the hypothetical model to the data was moderate, it was modified by deleting five paths. The modified model had a better fit to the data($x^2=504.23$(p<001, df: 180), $x^2/df=2.80$, GFI=.95, RMR=.07, NFI=.90, PGFI=.64). Health behaviors and psychosocial distress were found to have significant direct effects on the cardiovascular disease risk factors. Self-concept had direct effect on psychosocial distress or health behaviors. Self-concept, work environment, and work condition had direct effect on social support. Work environment had indirect effect on psychosocial distress. Social support had indirect effect on health behaviors. But work environment and work condition were found to have little direct effect on health behaviors, psychosocial distress or cardiovascular disease risk factors. Conclusion: A cardiovascular health promotion program should therefore include psycho-social factors as well as health behavioral determinants in worksites.

• Safety and Health at Work
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• 제13권4호
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• pp.500-506
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• 2022

This study evaluated the consistency between two quantitative fit test devices with different methods of ambient aerosol counting. Three types of respirators (N95, half mask, and full facepiece) were worn by 50 participants (male, n = 25; female, n = 25), PortaCount (Pro+ 8038) and MT (05U) were connected to one probe to one mask, and fit factors (FFs) were measured simultaneously with the original and modified protocols. As a result of comparing MT FFs with PortaCount FFs as references and by applying for the pass/fail criteria (FF = 100), the consistency between the two devices for half masks and full facepieces was very high. N95 was somewhat weaker than the two type of respirators in the consistency; however, the correlation between the two devices was very strong (p < 0.0001). The results showed that an FF of 100 as measured by PortaCount was likely to be measured as 75 by the MT. Therefore, when performing the fit test for N95 using the MT and pass level of FF 100, a certain level of adjustment is necessary, whether end-user or putting a scaling factor by manufacturer.

• 대한간호학회지
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• 제49권5호
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• pp.631-642
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• 2019

Purpose: This study aimed to predict the influencing factors and the consequences of near miss in nurses' medication error based upon Salazar & Primomo's ecological system theory. Methods: A convenience sample of 198 nurses was recruited for the cross-sectional survey design. Data were collected from July to September 2016. Using the collected data, the developed model was verified by structural equation modeling analysis using SPSS and AMOS program. Results: For the fitness of the hypothetical model, the results showed that $x^2$ ($x^2=258.50$, p<.001) was not fit, but standardized $x^2$ ($x^2/df=2.35$) was a good fit for this model. Additionally, absolute fit index RMR=.06, RMSEA=.08, GFI=.86, AGFI=.81 reached the recommended level, but the Incremental fit index TLI=.82, CFI=.85 was not enough to reach to the recommended level. With the path diagram of the hypothetical model, caution (${\beta}=-.29$ p<.001), patient safety culture (${\beta}=-.20$, p=.041), and work load (${\beta}=.18$, p=.037) had a significant effect on the near miss experiences in nurses' medication error, while fatigue (${\beta}=-.06$, p=.575) did not affect it. Moreover, the near miss experience had a significant effect on work productivity (${\beta}=-.25$, p=.001). Conclusion: These results have shown that to decrease the near miss experience by nurses and increase their work productivity in hospital environments would require both personal and organizational effort.

• Safety and Health at Work
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• 제9권2호
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• pp.236-238
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• 2018

Sleep deprivation may cause accidents, and it has deteriorating effects on health. A measurement of postural steadiness by a portable and affordable Nintendo Wii Fit balance board can be used to quantify a person's alertness. At work, people are under the influence of their environment-often other peopl-dthat may affect their alertness. This work investigates whether sleep deprivation among people is "contagious," as quantified by sway measures. We measured 21 volunteers' postural steadiness while alert and sleep deprived. During the measurements, a screen placed in front of the participants showed a footage of either alert or sleep-deprived faces. We found a significant difference between the day time and night time steadiness, but found no effect resulting from watching footage of sleep-deprived people. This finding shows that a posturographic sleepiness tester quantifies physiological sleep deprivation, and is insensitive to the influence of social factors.

• 정보화정책
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• 제21권2호
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• pp.24-48
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• 2014

마트폰 등 스마트기기의 확산으로 촉발된 스마트워크는 국내에서는 근로 시간 대비 낮은 노동 생산성 및 일과 삶의 조화, 저탄소 녹색성장 등의 사회적 논의와 맞물려 이슈화가 되고 있으며 모바일, 보안 및 클라우드 컴퓨팅 관련 IT기술의 발전으로 인한 업무 방식의 변화 또한 스마트워크에 대한 논의의 활성화를 뒷받침하고 있다. 그러나 일부 연구에서는 스마트워크에 대한 막연한 기대와 달리 기대하는 수준의 효과가 없을 것이라 지적하고 있다. 본 연구는 스마트워크 유형 중 홈오피스 방식의 스마트워크 도입 시 직원만족도와 생산성 증대에 미치는 요인들이 무엇인지 고찰하기 위해 실증연구를 실시하였다. 실제 홈오피스 도입 기업의 사용자 인터뷰와 사회-기술적 체계(socio-technical system) 접근기법을 기반 하여, 영향요인을 도출하고 홈오피스 근무자를 대상으로 설문을 실시하였다. 연구결과를 요약하면, 일과 삶의 균형, 홈오피스 업무-시스템적합도, 홈오피스-직무적합도가 홈오피스 만족도에 직접적인 영향을 미침을 확인하였고, 홈오피스-직무적합도와 홈오피스 만족도, 홈오피스 환경품질이 홈오피스 생산성에 직접적인 영향을 미치는 것으로 확인되었다.

• The Journal of Asian Finance, Economics and Business
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• 제6권1호
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• pp.217-229
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• 2019

The purpose of the research is to verify how task characteristics for business and technology characteristics, economic feasibility, technology readiness, organizational factors, environmental factors of cloud computing affect the performance of cloud computing adoption through Fit and Viability. The research aims to verify the relationship among the success factors for adopting cloud computing based on the Fit-Viability model. Respondents who work for IT companies which is using cloud computing in South Korea were chosen. The data was analyzed by the structural equating model. As a result, Task characteristics and Technology characteristics affected Fit in a positive manner, while Technology readiness, Organizational factors and Environmental factors also positively impacted Viability. Fit and Viability both affected the successful adoption of cloud equally. In particular, Environmental factors were proven to have the biggest impacts on Viability, and affected highly indirect impact on the Performance of cloud computing adoption through Viability. Entering the era of the fourth industrial revolution, corporations have established digital transformation strategies to secure a competitive edge while growing continuously, and are also carrying out various digital transformation initiatives. For the success of adoption of foundational technologies, they need to understand not only the decision-making factors of adopting cloud computing, but also the success factors of adopting cloud computing.

• Asian Pacific Journal of Cancer Prevention
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• 제15권14호
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• pp.5571-5575
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• 2014

Background: The ability to predict the survival time of breast cancer patients is important because of the potential high morbidity and mortality associated with the disease. To develop a predictive inference for determining the survival of breast cancer patients, we applied a novel Bayesian method. In this paper, we propose the development of a databased statistical probability model and application of the Bayesian method to predict future survival times for White Hispanic female breast cancer patients, diagnosed in the US during 1973-2009. Materials and Methods: A stratified random sample of White Hispanic female patient survival data was selected from the Surveillance Epidemiology and End Results (SEER) database to derive statistical probability models. Four were considered to identify the best-fit model. We used three standard model-building criteria, which included Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) to measure the goodness of fit. Furthermore, the Bayesian method was used to derive future survival inferences for survival times. Results: The highest number of White Hispanic female breast cancer patients in this sample was from New Mexico and the lowest from Hawaii. The mean (SD) age at diagnosis (years) was 58.2 (14.2). The mean (SD) of survival time (months) for White Hispanic females was 72.7 (32.2). We found that the exponentiated Weibull model best fit the survival times compared to other widely known statistical probability models. The predictive inference for future survival times is presented using the Bayesian method. Conclusions: The findings are significant for treatment planning and health-care cost allocation. They should also contribute to further research on breast cancer survival issues.

• Safety and Health at Work
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• 제8권4호
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• pp.364-370
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• 2017

Background: Labeled noise reduction (NR) data presented by manufacturers are considered one of the main challenging issues for occupational experts in employing hearing protection devices (HPDs). This study aimed to determine the actual NR data of typical HPDs using the objective fit testing method with a microphone in real ear (MIRE) method. Methods: Five available commercially earmuff protectors were investigated in 30 workers exposed to reference noise source according to the standard method, ISO 11904-1. Personal attenuation rating (PAR) of the earmuffs was measured based on the MIRE method using a noise dosimeter (SVANTEK, model SV102). Results: The results showed that means of PAR of the earmuffs are from 49% to 86% of the nominal NR rating. The PAR values of earmuffs when a typical eyewear was worn differed statistically (p < 0.05). It is revealed that a typical safety eyewear can reduce the mean of the PAR value by approximately 2.5 dB. The results also showed that measurements based on the MIRE method resulted in low variability. The variability in NR values between individuals, within individuals, and within earmuffs was not the statistically significant (p > 0.05). Conclusion: This study could provide local individual fit data. Ergonomic aspects of the earmuffs and different levels of users experience and awareness can be considered the main factors affecting individual fitting compared with the laboratory condition for acquiring the labeled NR data. Based on the obtained fit testing results, the field application of MIRE can be employed for complementary studies in real workstations while workers perform their regular work duties.

• 산업융합연구
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• 제22권6호
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• pp.41-50
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• 2024

본 연구는 임금근로자의 직무적합도가 생활만족도에 미치는 영향과 일 만족도의 매개효과를 검증하는데 그 목적이 있다. 분석을 위해 한국노동패널조사(Korean Labor and Income Panel Study) 23차년도(2020년) 자료를 활용하였고 그 중 임금근로자 7,202명을 표본으로 추출하였다. 수집된 자료는 SPSS WIN 25.0 프로그램을 사용하여 빈도분석, 기술통계, 상관분석을 실시하였고 PROCESS MACRO 4 프로그램으로 매개효과를 검증했다. 간접효과의 유의성은 Bootstrapp 기법으로 분석했다. 주요 연구 결과는 다음과 같다. 첫째, 임금근로자의 직무적합도는 생활만족도를 향상시키는 것으로 확인됐다. 둘째, 직무적합도와 생활만족도의 관계에서 일 만족도는 완전매개효과를 보이고 있다. 연구결과에 근거해서 임금근로자의 생활만족도를 향상시킬 수 있는 실천적 개입 방안들을 논의하였다.

• 한국융합학회논문지
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• 제10권3호
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• pp.307-317
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• 2019

본 연구의 목적은 개인-환경적합성과 직무착근도가 이직의도에 미치는 영향을 파악하고자 하였다. 대상자는 B, U 광역시 2개의 종합병원에서 6개월 이상 근무한 간호사 150명을 편의추출 하여 개인-직무적합성, 개인-조직적합성, 개인-상사적합성, 직무착근도와 이직의도 간의 인과관계를 파악하기 위하여 SPSS WIN 20.0과 AMOS 21.0 Program을 이용하여 분석하였다. 연구결과 직무착근도에 유의하게 직접효과와 총효과가 있는 변수는 개인-직무적합성, 개인-조직적합성, 개인-상사적합성으로 나타났고 직무착근도를 76.3% 설명하였다. 이직의도에 유의하게 직접효과가 가장 큰 변수는 직무착근도로 나타났으며, 개인-직무적합성, 개인-조직적합성, 개인-상사적합성은 간접효과가 있는 것으로 나타났고, 직무착근도는 이직의도를 36% 설명하는 것으로 나타났다. 결론적으로 임상간호사의 개인-직무적합성, 개인-조직적합성, 개인-상사적합성을 높여주면 직무착근도가 높아지면서 이직의도가 줄어들어 이직률을 줄여 줄 수 있을 것으로 생각된다. 또한 간호사를 대상으로 개인-환경적합성과 이직의도에 미치는 다양한 요인들에 대한 연구가 필요하다.