BACKGROUND: Harassment means systemic and repeated unethical acts. Research on workplace harassment have been conducted widely and the NAQ-R has been widely used for the researches. But this tool, however the limitations in revealing differended in sub-factors depending on the culture and in reflecting that unique characteristics of the Koren society. So, The workplace harassment questionnaire for Korean finace and service workers has been developed to assess the level of personal harassment at work. This study aims to develop a tool to assess the level of personal harassment at work and to test its validity and reliability while examining specific characteristics of workplace harassment against finance and service workers in Korea. METHODS: The framework of survey was established based on literature review, focused-group interview for the Korean finance and service workers. To verify its reliability, Cronbach’s alpha coefficient was calculated; and to verify its validity, items and factors of the tool were analyzed. The correlation matrix analysis was examined to verify the tool’s convergent validity and discriminant validity. Structural validity was verified by checking statistical significance in relation to the BDI-K. RESULTS: Cronbach’s alpha coefficient of this survey was 0.93, which indicates a quite high level of reliability. To verify the appropriateness of this survey tool, its construct validity was examined through factor analysis. As a result of the factor analysis, 3 factors were extracted, explaining 56.5 % of the total variance. The loading values and communalities of the 20 items were 0.85 to 0.48 and 0.71 to 0.46. The convergent validity and discriminant validity were analyzed and rate of item discriminant validity was 100 %. Finally, for the concurrent validity, We examined the relationship between the WHI-KFSW and pschosocial stress by examining the correlation with the BDI-K. The results of chi-square test and multiple logistic analysis indicated that the correlation with the BDI-K was satatisctically significant. CONCLUSION: Workplace harassment in actual workplaces were investigated based on interviews, and the statistical analysis contributed to systematizing the types of actual workplace harassment. By statistical method, we developed the questionare, 20 items of 3 categories.
Humans ; Korea ; Methods ; Reproducibility of Results*

Objective: The coronavirus disease-2019 (COVID-19) pandemic has significantly altered daily life, potentially impacting children’s digital media usage. This study investigates changes in smart device usage among children in South Korea, considering the pandemic’s effects. Methods: A longitudinal analysis was conducted on a cohort of 313 children aged 8–11 years from 2018 to 2021. The study measured weekly usage of personal computers (PCs), tablet PCs, and smartphones, comparing pre-pandemic (up to 2020) and post-pandemic periods. Partial correlation analysis was employed to assess the impact of COVID-19, controlling for covariates such as age, household income, and parental education. Results: The analysis revealed a significant increase in smart device usage time following the onset of the pandemic. This increase remained statistically significant even after accounting for covariates. Notably, both age and maternal education level were significant factors influencing device usage. Conclusion This study demonstrates a significant shift in the digital behavior of children aged 8–11 in the context of the COVID-19 pandemic. The increase in smart device usage underscores the pandemic’s far-reaching impact on children’s daily routines and suggests a need for further research into its long-term effects. The findings highlight the importance of considering external societal changes when analyzing trends in digital media usage among children.

Objective: The coronavirus disease-2019 (COVID-19) pandemic has significantly altered daily life, potentially impacting children’s digital media usage. This study investigates changes in smart device usage among children in South Korea, considering the pandemic’s effects. Methods: A longitudinal analysis was conducted on a cohort of 313 children aged 8–11 years from 2018 to 2021. The study measured weekly usage of personal computers (PCs), tablet PCs, and smartphones, comparing pre-pandemic (up to 2020) and post-pandemic periods. Partial correlation analysis was employed to assess the impact of COVID-19, controlling for covariates such as age, household income, and parental education. Results: The analysis revealed a significant increase in smart device usage time following the onset of the pandemic. This increase remained statistically significant even after accounting for covariates. Notably, both age and maternal education level were significant factors influencing device usage. Conclusion This study demonstrates a significant shift in the digital behavior of children aged 8–11 in the context of the COVID-19 pandemic. The increase in smart device usage underscores the pandemic’s far-reaching impact on children’s daily routines and suggests a need for further research into its long-term effects. The findings highlight the importance of considering external societal changes when analyzing trends in digital media usage among children.

Objective: The coronavirus disease-2019 (COVID-19) pandemic has significantly altered daily life, potentially impacting children’s digital media usage. This study investigates changes in smart device usage among children in South Korea, considering the pandemic’s effects. Methods: A longitudinal analysis was conducted on a cohort of 313 children aged 8–11 years from 2018 to 2021. The study measured weekly usage of personal computers (PCs), tablet PCs, and smartphones, comparing pre-pandemic (up to 2020) and post-pandemic periods. Partial correlation analysis was employed to assess the impact of COVID-19, controlling for covariates such as age, household income, and parental education. Results: The analysis revealed a significant increase in smart device usage time following the onset of the pandemic. This increase remained statistically significant even after accounting for covariates. Notably, both age and maternal education level were significant factors influencing device usage. Conclusion This study demonstrates a significant shift in the digital behavior of children aged 8–11 in the context of the COVID-19 pandemic. The increase in smart device usage underscores the pandemic’s far-reaching impact on children’s daily routines and suggests a need for further research into its long-term effects. The findings highlight the importance of considering external societal changes when analyzing trends in digital media usage among children.

Objective: The coronavirus disease-2019 (COVID-19) pandemic has significantly altered daily life, potentially impacting children’s digital media usage. This study investigates changes in smart device usage among children in South Korea, considering the pandemic’s effects. Methods: A longitudinal analysis was conducted on a cohort of 313 children aged 8–11 years from 2018 to 2021. The study measured weekly usage of personal computers (PCs), tablet PCs, and smartphones, comparing pre-pandemic (up to 2020) and post-pandemic periods. Partial correlation analysis was employed to assess the impact of COVID-19, controlling for covariates such as age, household income, and parental education. Results: The analysis revealed a significant increase in smart device usage time following the onset of the pandemic. This increase remained statistically significant even after accounting for covariates. Notably, both age and maternal education level were significant factors influencing device usage. Conclusion This study demonstrates a significant shift in the digital behavior of children aged 8–11 in the context of the COVID-19 pandemic. The increase in smart device usage underscores the pandemic’s far-reaching impact on children’s daily routines and suggests a need for further research into its long-term effects. The findings highlight the importance of considering external societal changes when analyzing trends in digital media usage among children.

Objective: The coronavirus disease-2019 (COVID-19) pandemic has significantly altered daily life, potentially impacting children’s digital media usage. This study investigates changes in smart device usage among children in South Korea, considering the pandemic’s effects. Methods: A longitudinal analysis was conducted on a cohort of 313 children aged 8–11 years from 2018 to 2021. The study measured weekly usage of personal computers (PCs), tablet PCs, and smartphones, comparing pre-pandemic (up to 2020) and post-pandemic periods. Partial correlation analysis was employed to assess the impact of COVID-19, controlling for covariates such as age, household income, and parental education. Results: The analysis revealed a significant increase in smart device usage time following the onset of the pandemic. This increase remained statistically significant even after accounting for covariates. Notably, both age and maternal education level were significant factors influencing device usage. Conclusion This study demonstrates a significant shift in the digital behavior of children aged 8–11 in the context of the COVID-19 pandemic. The increase in smart device usage underscores the pandemic’s far-reaching impact on children’s daily routines and suggests a need for further research into its long-term effects. The findings highlight the importance of considering external societal changes when analyzing trends in digital media usage among children.

Carcinogenicity of asbestos has been well established for decades and it has similar approval standards in most advanced countries based on a number of studies and international meetings. However, Korea has been lagging behind such international standards. In this study, we proposed the approval standards of an occupational cancer due to asbestos through intensive review on the Helsinki Criteria, post-Helsinki studies, job exposure matrix (JEM) based on the analysis of domestic reports and recognized occupational lung cancer cases in Korea. The main contents of proposed approval standards are as follows; (1) In recognizing an asbestos-induced lung cancer, diagnosis of asbestosis should be based on CT. In addition, initial findings of asbestosis on CT should be considered. (2) High Exposure industries and occupations to asbestos should be also taken into account in Korea (3) An expert's determination is warranted in case of a worker who has been concurrently exposed to other carcinogens, even if the asbestos exposure duration is less than 10 years. (4) Determination of a larynx cancer due to asbestos exposure has the same approval standards with an asbestos-induced lung cancer. However, for an ovarian cancer, an expert's judgment is necessary even if asbestosis, pleural plaque or pleural thickening and high concentration asbestos exposure are confirmed. (5) Cigarette smoking status or the extent should not affect determination of an occupational cancer caused by asbestos as smoking and asbestos have a synergistic effect in causing a lung cancer and they are involved in carcinogenesis in a complicated manner.
Asbestos* ; Asbestosis ; Carcinogenesis ; Carcinogens ; Diagnosis ; Judgment ; Korea* ; Laryngeal Neoplasms ; Lung Neoplasms ; Occupations ; Ovarian Neoplasms ; Smoke ; Smoking

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has led to a decrease in face-to-face classes worldwide, affecting the mental health of children and their parents. The global pandemic has increased children’s overall use of electronic media. This study analyzed the effect of children’s screen time on problematic behaviors during the COVID-19 pandemic. Methods: A total of 186 parents from Suwon, South Korea, were recruited to participate in an online survey. The mean age of the children was 10.14 years old, and 44.1% were females. The questionnaire included questions on children’s screen time, problematic behaviors, and parental stress. Children’s behavioral problems were evaluated using the Behavior Problem Index, whereas the Parental Stress Scale was used to estimate parental stress. Results: The mean smartphone usage frequency of the children was 5.35 days per week, and the mean smartphone screen time was 3.52 hours per day. Smartphone screen time (Z=4.49, p<0.001) and usage frequency (Z=2.75, p=0.006) were significantly correlated with children’s behavioral problem scores. The indirect effect of parental stress on this relationship was also statistically significant (p=0.049, p=0.045, respectively). Conclusion This study suggests that children’s smartphone screen time has affected problematic behaviors during the COVID-19 pandemic. Furthermore, parental stress is related to the relationship between children’s screen time and problematic behaviors.

Background: Postoperative pain is affected by preoperative depression. If the risk of postoperative pain associated with depression can be predicted preoperatively, anesthesiologists and/or surgeons can better manage it with personalized care. The objective of this study was to determine the efficacy of Patient Health Questionnaire-2 (PHQ-2) depression screening tool as a predictor of postoperative pain. Methods: A total of 50 patients scheduled for elective laparoscopic cholecystectomy with an American Society of Anesthesiologists grade of 1 or 2 were enrolled. They answered the PHQ-2, which consists of two questions, under the supervision of a researcher on the day before the surgery. The numerical rating scale (NRS) scores were assessed at post-anesthesia care unit (PACU), at 24, and 48 postoperative hours, and the amount of intravenous patient-controlled analgesia (IV-PCA) administered was documented at 24, 48, and 72 postoperative hours. At 72 h, the IV-PCA device was removed and the final dosage was recorded. Results: The NRS score in PACU was not significantly associated with the PHQ-2 score (correlation coefficients: 0.13 [P = 0.367]). However, the use of analgesics after surgery was higher in patients with PHQ-2 score of 3 or more (correlation coefficients: 0.33 [P = 0.018]). Conclusions We observed a correlation between the PHQ-2 score and postoperative pain. Therefore, PHQ-2 could be useful as a screening test for preoperative depression. Particularly, when 3 points were used as the cut-off score, the PHQ-2 score was associated with the dosage of analgesics, and the analgesic demand could be expected to be high with higher PHQ-2 scores.

BACKGROUND: In the present study, the resistance mechanisms against carbapenems and aminoglycosides for 23 strains of multi-drug-resistant Acinetobacter baumannii isolated at a university hospital were investigated. METHODS: The minimal inhibitory concentrations (MICs) were determined via broth microdilution or Etest. The genes encoding OXA-type carbapenemases and 16S rRNA methylase were identified using multiplex PCR, and the amplified products were sequenced. Conjugation experiments were conducted, and an epidemiologic study was performed using enterobacterial repetitive intergenic consensus (ERIC)-PCR. RESULTS: In the isolates, the MICs of the tested aminoglycosides, including arbekacin, were >1024 microg/mL; the MICs of aztreonam, cefepime, ceftazidime, and ciprofloxacin ranged from 64 to 128 microg/mL; and the MICs of carbapenem ranged from 32 to 64 microg/mL, as determined through the broth microdilution test. According to the E-test, the MICs of ampicillin/sulbactam and colistin were 8 and 0.25 to 0.38 microg/mL, respectively. Sequence analysis confirmed that all of the isolates expressed carbapenemases OXA-23 and OXA-66, as well as armA 16S rRNA methylase. In addition, ISAba1 was identified upstream of the gene encoding OXA-23. OXA-23 and armA were not transferred to Escherichia coli J53 cells in the transconjugation experiments. ERIC-PCR molecular fingerprinting produced a single pattern in all cases. CONCLUSION: The co-production of OXA-23 and armA 16S rRNA methylase may be attributed to the multidrug resistance of the A. baumannii isolates in the present study. Stricter surveillance and more rapid detection are necessary to prevent the spread of this type of resistance in the future.
Acinetobacter ; Acinetobacter baumannii ; Aminoglycosides ; Aztreonam ; Carbapenems ; Ceftazidime ; Cephalosporins ; Ciprofloxacin ; Colistin ; Consensus ; Dermatoglyphics ; Dibekacin ; Drug Resistance, Multiple ; Epidemiologic Studies ; Escherichia coli ; Methyltransferases ; Multiplex Polymerase Chain Reaction ; Republic of Korea ; RNA, Ribosomal, 16S ; Sequence Analysis