• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• Journal of the Ergonomics Society of Korea
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• v.36 no.3
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• pp.221-230
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• 2017

Objective: The purpose of this study is to draw the accident prevention model using the signal detection theory, and to implement accident prevention program, based on a health promotion and support activities in a shipbuilding company. Background: Workers' health management is perceived important from the human resource management perspective, as well as from the personal perspective. Method: This study developed an accident prevention model by analyzing the correlation between 704 workers' health examination variables, and reviewed the verification of the model through a follow-up survey on the control variables and status of hazards targeting 650 workers for four years from 2007 to 2010. Also, a health promotion program was implemented targeting a production division to improve alcohol habits, smoking, musculoskeletal pain complaints and hearing control indices, which are the control variables of the model. Results: As a result of four years' implementation, the following effects were obtained: the days away from work fell 87.5%, and accident rate dropped 71.5% in 2010, respectively, compared to 2006, before the activity was implemented. Conclusion: This study shows that the accident prevention activities based on workers' health promotion activities are effective to prevent industrial accidents and injuries. Application: The research findings will serve as a practical guideline for establishing preventive measures in the shipbuilding company.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.11
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• pp.4429-4436
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• 2014

Background: Although the nutritional may exert effect on the breast cancer risk, it is not clear whether the role diet is the same in sedentary and physically active women. The aim of this study was to evaluate the association between fruit, vegetable and carbohydrate intake and the risk of breast cancer among Polish women considering their physical activity level. Materials and Methods: A case-control study was conducted that included 858 women with histological confirmed breast cancer and 1,085 controls, free of any cancer diagnosis, aged 28-78 years. The study was based on a self-administered questionnaire to ascertain physical activity, dietary intake, sociodemographic characteristics, reproductive factors, family history of breast cancer, current weight and high, and other lifestyle factors. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated in unconditional logistic regression analyses including a broad range of potential confounders. Results: With comparison of the highest vs lowest quartile of intake, strong significant associations were observed for total vegetables (OR=0.37, 95%CI=0.20-0.69 P for trend <0.01 and OR=0.53, 95%CI=0.29-0.96, P for trend <0.02), and total fruits (OR=0.47, 95%CI=0.25-0.87, P for trend <0.05 and OR=0.47, 95%CI=0.24-0.90, P for trend <0.02) among women characterized by the lowest and the highest quartile of physical activity. No associations were observed for total carbohydrate intake. Additional analysis showed a positive association for sweets and desert intake among women in the lowest quartile of physical activity (OR=3.49, 95%CI=1.67-7.30, P for trend <0.009) for extreme quartiles of intake comparing to the referent group. Conclusions: The results suggest that a higher consumption of vegetable and fruit may be associated with a decreased risk of breast cancer, especially among women who were low or most physically active throughout their lifetimes. These findings do not support an association between diet high in carbohydrate and breast cancer. However, a higher intake of sweets and deserts may by associated with an increased risk of breast cancer among women who were less physically active.

• Journal of Korean Public Health Nursing
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• v.33 no.1
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• pp.20-32
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• 2019

Objectives: This study identified biopsychosocial factors associated with metabolic syndrome among Korean men and women aged over 40 years. Methods: Secondary data from the 2010-2016 Korean National Health and Nutrition Examination Survey were used for this study. Based on the biopsychosocial model, psychosocial factors (stress, depression, smoking, binge alcohol consumption, physical activity) were assessed with control of biomedical (age, body mass index, family history of hypertension, dyslipidemia, type 2 diabetes mellitus, and cardiovascular disease) and biosocial factors (educational level and economic status). Data from 8,624 men and 7,321 women were analyzed by logistic regression analysis using a complex sample procedure. Results: Among men, current or past smoking habits (Adjusted Odds Ratio [AOR]: 1.349; 95% Confidence Interval [CI]: 1.155-1.575, p<.001) and binge alcohol consumption (AOR: 1.570, CI: 1.389-1.774, p<.001) were associated with metabolic syndrome. In addition, moderate (AOR: 1.205, CI: 1.038-1.400, p=.014) and low levels of physical activity (AOR: 1.296, CI: 1.109-1.514, p=.001) were associated with metabolic syndrome. Among women, low level of physical activity (AOR: 1.276, CI: 1.017-1.602, p=.036) was associated with metabolic syndrome. Conclusion: Gender specific interventions such as encouraging physical activity and prevention of smoking and excessive alcohol drinking are important to prevention of metabolic syndrome.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.334-344
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• 2021

The study has suggested a way to minimize safety accidents found in on-site firefighting activity by analyzing firefighters' [investigation report on accidents to on-sie workers]. The study result is described as follows. First, the result of [investigation report on on-site workers] shows that while accidents are found to most frequently have occurred to low-ranking firefighting officers such as Sobangsa and Sobanggyo and firefighting officers with career of less than 5 years, fire-extinguishing activity proved to be the most prone to accidents in the category of activity. Second, analysis performed to identify variance between injury extent and area based on cause of accident shows statistically significant variance. In addition, the result of verifying difference in cause of accident based on category of activity shows significant difference with 'falling over and sliding' being the highly likely cause of accident in fire containment and rescue activities and 'reckless move' being highly likely case of accident in emergency activities. Third, the result of verifying factors behind the extent of injury done to on-site workers shows that when accident is caused by 'incomplete behavior', it was found that the extent of injury is substantial. It was also found that rescue activity is accompanied by substantial extent of injury. As a solution to this, the study suggested ways to establish, extend and operate safety-specific curriculum for entrants, develop materials regarding risk prognosis training and explicate training-related regulations, set up safety management measure for a single squad team, upgrade performance of private protection equipment, institutionalize SOP by on-site activity stage, materialize and activate swift rescue team and increase objectivity and proficiency of safety accident investigation.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2551-2555
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• 2013

Background: Physical activity is a component of lifestyle activity and one that has been increasingly seen as 'the medicine' to cure chronic diseases, including certain types of cancer. Physical activity has potent impact on mortality but only if it is well incorporated as lifestyle activity may it allow a better outcome of the quality of life of cancer survivors. This paper presents a review on the evidence of physical activity being actively promoted as lifestyle activity amongst cancer survivors, for the last five years. Materials and Methods: Electronic databases were systematically searched for randomized controlled trials incorporated as lifestyle activity through MEDLINE with the associated terms "physical activity or exercise", "quality of life" and "cancer survivor or people with cancer", 'lifestyle' and 'randomised controlled trial'. The period of search was confined to publication within January 2008 till December 2012 and further limits were to full text, peer reviewed, abstract available and English language. Results: Based on inclusion criteria, 45 articles were retrieved. Of these, 41 were excluded after examining the full paper. Four final articles on randomized controlled trials were studied to determine the effectiveness of PA to improve the quality of life in post treatment cancer survivors and positive associations were found. Conclusions: Physical activity is related to better quality of life of cancer survivors. Only one paper had characteristics of lifestyle incorporation for a lifestyle redesign, but none overtly or actively promoting exercise interventions as an essential lifestyle activity. With increasing survivorship, the benefits of physical activity must be aggressively and overtly promoted to optimize its positive impact.

• Journal of Korean Academy of Nursing
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• v.44 no.5
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• pp.525-533
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• 2014

Purpose: This study was done to propose and test a predictive model that would explain and predict fall prevention behaviors in postmenopausal women. The health belief model was the theoretical basis to aid development of a nursing intervention fall prevention program. Methods: Data for 421 postmenopausal women were selected from an original data set using a survey design. The structural equation model was tested for 3 constructs: modifying factors, expectation factors, and threat factors. Expectation factors were measured as relative perceived benefit (perceived benefit minus perceived barrier), self-efficacy, and health motivation; threat factors, as perceived susceptibility (fear of falling) and perceived severity (avoiding activity for fear of falling); and modifying factors: level of education and knowledge about fall prevention. Data were analyzed using SPSS Windows and AMOS program. Results: Mean age was 55.7 years (range 45-64), and 19.7% had experienced a fall within the past year. Fall prevention behaviors were explained by expectation and threat factors indicating significant direct effects. Mediating effect of health beliefs was significant in the relationship between modifying factors and fall prevention behaviors. The proposed model explained 33% of the variance. Conclusion: Results indicate that fall prevention education should include knowledge, expectation, and threat factors based on health belief model.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.8
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• pp.3159-3162
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• 2015

Purpose: This systematic analysis was conducted to evaluate the efficacy and safety of nedaplatin based salvage chemotherapy for treatment of patients with advanced cervical cancer. Methods: Clinical studies evaluating the efficacy and safety of nedaplatin based regimens on response and safety for patients with cervical cancer were identified using a predefined search strategy. Pooled response rates (RRs) were calculated. Results: For nedaplatin based regimens, 5 clinical studies including 264 patients with advanced cervical cancer were considered eligible for inclusion. The analysis showed that, in all patients, pooled RR was 74.6% (197/264). Major adverse effects were leukopenia, thrombocytopenia and nausea/vomiting. No treatment related death occurred with nedaplatin based treatment. Conclusion: This systematic analysis suggests that nedaplatin based regimens are associated with good activity with acceptable tolerability in treating patients with advanced cervical cancer.

• Journal of the Korea Safety Management & Science
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• v.4 no.4
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• pp.63-71
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• 2002

Accident analyses are used to identify common factors contributing to occupational accidents and to give recommendations for accident prevention. This study concerns with the accident characteristics and prevention in the telecommunication service industry. To investigate the accident characteristics, we used workers' compensation reports and employers' accident analysis reports. Three hundred and forty-five injury accidents which results in more than 4 days absence were surveyed. These data were used to investigate the accident characteristics in terms of company size, injured person's age, work experience, accident time, activity at time of accident, accident type, injured body part, and accident agency. We propose the accident prevention policy based on the accident characteristics. These results can be used to develop more effective occupational safety management policies in the telecommunication service industries.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.2
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• pp.797-802
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• 2014

We screened a small molecular library that was designed and independently synthesized in vitro and found a new drug (MY-03-01) that is active against ovarian cancer. We established that MY-03-01 effectively inhibited SKOV-3 cell survival in a dose-dependent manner, based on cell viability rates, and that it not only induced SKOV-3 apoptosis by itself, but also did so synergistically with paclitaxel. Secondly, when MY-03-01 was applied at $40{\mu}M$, its hemolytic activity was less than 10%, compared with the control, and there was almost no damage to nor mal cells at this concentration. In addition, we used DAPI staining and flow cytometry to show that MY-03-01 could significantly induce apoptosis of SKOV-3 cells. Finally, we found that MY-03-01 likely induced SKOV-3 apoptosis by activating caspase3 and caspase9 through the mitochondrial pathway.