The purpose of this study is to examine which job-related factors are associated with presenteeism, which is defined as attending work while ill. Although presenteeism is a relatively new concept in academic research, it should be regarded as an important social issue in that presenteeism threatens employees' job prospects and quality of life as well as it causes loss of work productivity. I analyzed a cross-sectional survey of 24,571 wage workers over 15 from the fourth wave of the Korean Working Conditions Survey in 2014. Five logistic regression models were analyzed on experience of presenteeism, and work hours and private life, occupational environment, job insecurity, rewards and welfare were assessed as key predictors of presenteeism. I found that 1) work hours with bad fit with private life, 2) high level of work time-pressure, and low job satisfaction 3) job insecurity, and 4) low benefits are associated with experience of presenteeism. The findings are fairly consistent with the theory of job-person mismatch, which explains that workers tend to preserve their personal resources by going to work while ill (presenteeism) when job demands or work conditions do not match with their level of personal expectation and, thus, workers are afraid of loss of personal resources. Presenteeism influences worker's long-term health and quality of life negatively as well as causes serious social costs. Therefore, we need organizational efforts to prevent the negative effects of presenteeism on society as well as workers.
Objectives: Stress is a psychological reaction to stimuli such as anxiety or threat felt by a person either physically or mentally when placed in a difficult situation. Although a relationship between stress and dry mouth has been reported, it remains understudied. The purpose of this study was to investigate the association between stress and subjective dry mouth among the elderly living in a rural region. Methods: A total of 214 people aged ${\geq}60years$ living in a rural area were recruited with an informed consent for a cross-sectional analysis. Information about stress and subjective dry mouth was obtained by an interview survey with a constructed questionnaire. Data on other potential confounding factors (including oral factors) such as socio-demographic data, health-related behaviors, the number of remaining teeth, and subjective chewing ability were also gathered at the same time. Logistic regression models were used to analyze the relationship of stress and dry mouth using SPSS. Results: The Crude odds ratio (OR) of stress awareness affecting subjective dry mouth was 2.59 (95% confidence interval: 1.43-4.68). After adjusting for sex, education, income, smoking, and alcohol intake, the adjusted OR was 2.52 (95% confidence interval: 1.30-4.87) which was statistically significant. Conclusions: Elderly people who were stressed had an approximately 2-fold increase in experiencing subjective dry mouth when compared to their stress-free counterparts.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.11
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pp.645-652
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2018
This study examined the effects of leisure activity, self-esteem, and the achievement on mental wellbeing among the elderly. The participants in this cross-sectional, descriptive study were 149 elderly who completed a self-report structured questionnaire. The data were analyzed using descriptive statistics, correlation and multiple linear regression analyses with SPSS statistics 20 program. The mental well-being averaged 51.5 (${\pm}15.1$); leisure activity averaged 26.2 (${\pm}6.5$); self-esteem averaged 30.2 (${\pm}5.2$), and self-esteem averaged 44.4 (${\pm}8.3$). The mental well being of the elderly was positively correlated with all three variables. The leisure activity, self-esteem, and achievement were strong predictors of the mental well-being among the elderly. These variables explained 42.7% of the variance in mental wellbeing. The results suggest that the elderly are satisfied with their own situations and abilities, have a positive mind by accepting their present state of being, continue social interactions through active leisure activities, and set specific goals. The mental well-being of the elderly can be improved.
Objectives : This study aimed to describe the use of over-the-counter (OTC) drugs and to identify predictors for their use in the elderly living alone. Methods : This is a cross-sectional study that enrolled 1,099 subjects. Data regarding socio-demographic status, medical condition, cognition, mood disorder and use of OTC drugs were collected using self-administered questionnaire and from a specific semi-structured interview by a trained nurse. Data regarding use of OTC drugs were analyzed using descriptive statistics. Logistic regression analysis was applied to examine factors associated with the use of OTC drugs. Results : The use of OTC drugs were reported by 35.4% of the subjects. Analgesics (13.6%) was the most frequent drugs. Depression (OR=1.10, 95% CI=1.10-1.87) and comorbidities measured by cumulative illness rating scale (CIRS) (OR=1.08, 95% CI=1.03-1.12) were significantly associated with the use of OTC drugs in the elderly living alone. Conclusions : Depression and severity of underlying medical conditions could be a predictor of the use of OTC drugs in the elderly living alone. The clinicians should be vigilant regarding the potential use of nonprescription medications in the elderly.
The aim of this study was to distinguish 3 concepts(capacity, capability, and performance) for the motor activities of children with cerebral palsy(CP) and examinate relation between capacity(can do in a standardized environment), capability(can do in daily environment), and performance(does do in daily environment). Cross-sectional analysis with a assessment record of children with CP (n=40; 19males, 21 females; mean age 6y 6mo, SD 3y 8mo) was performed. Levels of severity according to the Gross Motor Function Classification System(GMFCS) included level1(13%), level2(10%), level3(43%), level 4(33%), and level 5(3%). Motor activities capacity was assessed by the Gross Motor Function Measure (GMFM-66). Capability and performance were assessed using 2 scales(functional skill, caregiver assistance) of the Pediatric Evaluation of Disability Inventory(PEDI). Correlations between capacity and capability was 0.811(p < .05), and between capability and performance were high(r=0.711, p < .05). And the correlation between capacity and performance is the lowest(r=0.711, p < .05). Motor performance levels are only partly reflected by the motor capacity and motor capability levels in children with CP. Because performance is influenced by Contextual factors (particularly, social factors such as family function). This study suggests that it is necessary to distinguish and evaluate the capacity, capability, and performance in children with cerebral palsy.
The purpose of this study was to identify the factors affecting job satisfaction of PACU (post-anesthesia care unit) nurses in the context of job stress, organizational culture and professional identity. A total of 149 nurses participated in the cross-sectional, descriptive study suing a structured questionnaire. Job stress in pay and treatment category, innovation-oriented culture, relation-oriented culture, and professional identity were positively correlated with job satisfaction (r=.373, p<.001; r=.507, p<.001; r=.559, p<.001; r=.544, p<.001). The factors related to job satisfaction were professional identity (${\beta}=.391$, p<.001), relation oriented culture (${\beta}=.302$, p<.001), innovation oriented culture (${\beta}=.209$, p=.004), which accounted for 48.7% of the variance in job satisfaction. Professional identity was the most significant predictor of job satisfaction. Thus, in order to enhance the job satisfaction of nurses in the PACU, it is necessary to develop an education program that can improve professional identity and apply strategies for fostering relation and innovation oriented organization culture.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.3
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pp.476-482
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2019
Regulatory protocols such as the Convention on Climate Change and the regulation of greenhouse gas emissions act as catalysts for the development of high-efficiency energy equipment and the efficient use of energy. Among the fields where energy consumption is high, the electric heating equipment is not efficient. The electric boiler mainly uses a method of circulating water by contacting the heater. When the existing electric boiler is used, the water minerals are contacted with the high-temperature heater to be carbonized and adsorbed, thereby promoting the corrosion of the heater and lowering the efficiency of the heater. For this reason, an electric induction boiler, which has high energy efficiency and is applied to an induction heating system that can uniformly heat the object to be heated rather than conduction or convection heating, is in the limelight. This method induces a boiler pipe And it is recognized as an alternative that can solve the problem that occurs when heating is performed by direct heating. Despite the fact that research on induction heating has been conducted for a relatively long period of time, there have been few studies on the electrothermal technology using induction heating. Therefore, in this paper, to improve the heat efficiency of electric induction boiler, the influence of the cross sectional area, number of windings and winding layers is analyzed by finite element method through parametric study method. The method of finding the design point which maximizes the total loss is proposed by the alternating winding design method which can maximize the heat generation by analyzing copper and iron losses.
The performance of drip irrigation devices depends on flow uniformity related to the function of pressure compensation. The flow uniformity can be secured when the internal fluid pressures at the positions of the flow holes are maintained uniformly. The pressure compensation effect of the drip irrigation devices can be optimized with the combination of soft silicon and labyrinth structures. However, for a drip irrigation devices composed of only hard labyrinth structures, the flow rate is changed largely with the length and the internal geometry of the labyrinth structure. Although a drip irrigation devices with only hard labyrinth structures can be fabricated simply, the changes of flow rates with internal fluid pressures are much larger than those of the drip irrigation devices with soft silicon. Because the drip irrigation devices with only labyrinth structures can be utilized widely through the optimization of the fluid pressure, the length of the structures, and the cross-sectional area of them, the study on the optimization can play an important role for enhancing the performance of the drip irrigation devices. In this study, experimental and numerical studies for investigating the performance of the drip irrigation devices had been conducted. In the experiments and numerical calculations(CFD), the variable parameters were the lengths of the labyrinth structures(#1~#8) and the fluid pressures(0.5~3.0 bar).
Boakye, Lorraine A.T.;Fourman, Mitchell S.;Spina, Nicholas T.;Laudermilch, Dann;Lee, Joon Y.
Asian Spine Journal
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v.12
no.6
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pp.1043-1052
/
2018
Study Design: Level III retrospective cross-sectional study. Purpose: To define and characterize the presentation, symptom duration, and patient/surgical risk factors associated with 'post-decompressive neuropathy (PDN).' Overview of Literature: PDN is characterized by lower extremity radicular pain that is 'different' from pre-surgical radiculopathy or claudication pain. Although it is a common constellation of postoperative symptoms, PDN is incompletely characterized and poorly understood. We hypothesize that PDN is caused by an intraoperative neuropraxic event and may develop early (within 30 days following the procedure) or late (after 30 days following the procedure) within the postoperative period. Methods: Patients who consented to undergo lumbar laminectomy with or without an instrumented fusion for degenerative lumbar spine disease were followed up prospectively from July 2013 to December 2014. Relevant data were extracted from the charts of the eligible patients. Patient demographics and surgical factors were identified. Patients completed postoperative questionnaires 3 weeks, 3 months, 6 months, and 1 year postoperatively. Questions were designed to characterize the postoperative pain that differed from preoperative pain. A diagnosis of PDN was established if the patient exhibited the following characteristics: pain different from preoperative pain, leg pain worse than back pain, a non-dermatomal pain pattern, and nocturnal pain that often disrupted sleep. A Visual Analog Scale was used to monitor the pain, and patients documented the effectiveness of the prescribed pain management modalities. Patients for whom more than one follow-up survey was missed were excluded from analysis. Results: Of the 164 eligible patients, 118 (72.0%) completed at least one follow-up survey at each time interval. Of these eligible patients, 91 (77.1%) described symptoms consistent with PDN. Additionally, 75 patients (82.4%) described early-onset symptoms, whereas 16 reported symptoms consistent with late-onset PDN. Significantly more female patients reported PDN symptoms (87% vs. 69%, p=0.03). Patients with both early and late development of PDN described their leg pain as an intermittent, constant, burning, sharp/stabbing, or dull ache. Early PDN was categorized more commonly as a dull ache than late-onset PDN (60% vs. 31%, p=0.052); however, the difference did not reach statistical significance. Opioids were significantly more effective for patients with early-onset PDN than for those with late-onset PDN (85% vs. 44%, p=0.001). Gabapentin was most commonly prescribed to patients who cited no resolution of symptoms (70% vs. 31%, p=0.003). Time to symptom resolution ranged from within 1 month to 1 year. Patients' symptoms were considered unresolved if symptoms persisted for more than 1 year postoperatively. In total, 81% of the patients with early-onset PDN reported complete symptom resolution 1 year postoperatively compared with 63% of patients with late-onset PDN (p=0.11). Conclusions: PDN is a discrete postoperative pain phenomenon that occurred in 77% of the patients who underwent lumbar laminectomy with or without instrumented fusion. Attention must be paid to the constellation and natural history of symptoms unique to PDN to effectively manage a self-limiting postoperative issue.
Choi, Bo Hye;Kim, Young Jae;Choi, Seung Jun;Kim, Kwang Gi
Journal of Biomedical Engineering Research
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v.39
no.6
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pp.229-236
/
2018
Liver cancer is one of the highest incidents in the world, and the mortality rate is the second most common disease after lung cancer. The purpose of this study is to evaluate the diagnostic ability of deep learning in the classification of malignant and benign tumors in CT images of patients with liver tumors. We also tried to identify the best data processing methods and deep learning models for classifying malignant and benign tumors in the liver. In this study, CT data were collected from 92 patients (benign liver tumors: 44, malignant liver tumors: 48) at the Gil Medical Center. The CT data of each patient were used for cross-sectional images of 3,024 liver tumors. In AlexNet and VggNet, the average of the overall accuracy at each image size was calculated: the average of the overall accuracy of the $200{\times}200$ image size is 69.58% (AlexNet), 69.4% (VggNet), $150{\times}150$ image size is 71.54%, 67%, $100{\times}100$ image size is 68.79%, 66.2%. In conclusion, the overall accuracy of each does not exceed 80%, so it does not have a high level of accuracy. In addition, the average accuracy in benign was 90.3% and the accuracy in malignant was 46.2%, which is a significant difference between benign and malignant. Also, the time it takes for AlexNet to learn is about 1.6 times faster than VggNet but statistically no different (p > 0.05). Since both models are less than 90% of the overall accuracy, more research and development are needed, such as learning the liver tumor data using a new model, or the process of pre-processing the data images in other methods. In the future, it will be useful to use specialists for image reading using deep learning.
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