Background: Evidence for associations between dietary factors and breast cancer risk is inconclusive among Chinese females. To evaluate this question, we conducted a systematic review of relevant case-control and cohort studies. Methods: Studies were systematically searched among 5 English databases (PudMed, ScienceDirect, Wiley, Clinicaltrials.gov, and Cochrane) and 3 Chinese databases (CNKI, WanFang, and VIP) until November 2012. Random effects models were used to estimate summary odds ratios (ORs) and the corresponding 95% confidence intervals (CIs). Results: Thirty one case-control studies and two cohort studies involving 9,299 cases and 11,413 controls were included. Consumption of both soy and fruit was significantly associated with decreased risk of breast cancer, with summary ORs of 0.65 (95% CIs: 0.43-0.99; I2=88.9%, P<0.001; N=13) and 0.66 (95% CIs: 0.47-0.91; $I^2$=76.7%, P<0.001; N=7), respectively. Consumption of fat was significantly associated with increased risk of breast cancer (OR=1.36; 95% CIs: 1.13-1.63; $I^2$=47.9%, P=0.088; N=6). There was nonsignificant association between consumption of vegetables and breast cancer risk (OR=0.72; 95% CIs: 0.51-1.02; $I^2$= 74.4%, P<0.001; N=9). However, sensitivity analysis based on adjusted ORs showed decreased risk of breast cancer was also associated with consumption of vegetables (OR=0.49; 95% CIs: 0.30-0.67). Conclusion: Both soy food and fruit are significantly associated with decreased risk of breast cancer among Chinese females, and vegetables also seems to be protective while dietary fatexerts a promoting influence.
Objective: To evaluate associations between tea consumption, alcohol drinking and physical activity and breast cancer risk among Chinese females. Methods: Three English databases (PubMed, ScienceDirect and Wiley) and three Chinese databases (CNKI, WanFang and VIP) were independently searched by 2 reviewers up to December 2012, complemented by manual searches. The quality of included studies was assessed with the Newcastle-Ottawa Scale items. Random-effects models were used to estimate the pooled odds ratios (ORs) and 95% confidence intervals (CIs). Potential publication bias was estimated through Egger's and Begg's tests. Heterogeneity between studies was evaluated with $I^2$ statistics. Results: Thirty-nine studies involving 13,204 breast cancer cases and 87,248 controls were identified. Compared with non-drinkers, regular tea drinkers had decreased risk (OR=0.79, 95%CIs: 0.65-0.95; $I^2$=84.9%; N=16). An inverse association was also found between regular physical activity and breast cancer risk (OR=0.73, 95%CIs: 0.63-0.85; $I^2$=77.3%; N=15). However, there was no significant association between alcohol drinking and breast cancer risk (OR=0.85, 95%CIs: 0.72-1.02; $I^2$=63.8%; N=26). Most of the results from the subgroup analysis were consistent with the main results. Conclusion: Tea consumption and physical activity are significantly associated with a decreased risk of breast cancer in Chinese females. However, alcohol drinking may not be associated with any elevation of risk.
This study examined in what category that the knowledge dimension and the cognitive processes dimension are described based on 'A revision o Bloom's taxonomy of educational objectives' in oral health education textbooks. Oral health education and practice from Educational Objectives of Dental Hygiene Department(Korea dental hygienist Prof Council, 2009) were selected to analyze a textbook, the body contents was analyzed in the knowledge dimension, and the activity was analyzed in cognitive processes dimension. Three experts were selected as a corder for reliable analysis. As a result of this study, the knowledge dimension in oral health education textbook was focused on the categories of factual knowledge and conceptual knowledge in textbook analysis based on 'A revision of Bloom's taxonomy of educational objectives', and the category dimension of 'understand' showed to be the most for the cognitive processes dimension. Moreover, there was no 'meta cognitive knowledge' that conforms to a higher-order thinking and the category dimensions of 'analyze', 'evaluate', and 'create' took very low proportion or did not exist. Conclusion, Oral health education textbooks were analyzed to fragmentary and Memorizing the level knowledge. Thus we have to develop oral health education textbooks reflected a variety of cognitive and knowledge dimension.
Park, Sang-Mo;Park, Ji-Man;Kim, Seong-Kyun;Heo, Seong-Joo;Koak, Jai-Young
Journal of Korean Dental Science
/
v.12
no.1
/
pp.13-19
/
2019
Purpose: The aim of this study was to compare the flexural strength of provisional fixed dental prostheses which was three-dimensional (3D) printed by several build directions. Materials and Methods: A metal jig with two abutment teeth and pontic space in the middle was fabricated. This jig was scanned with a desktop scanner and provisional restoration was designed on dental computer-aided design program. On the preprocessing software, the build angles of the restorations were arranged at $0^{\circ}$, $30^{\circ}$, $45^{\circ}$, $60^{\circ}$, and $90^{\circ}$ and support was added and resultant structure was sliced to a thickness of $100{\mu}m$. Processed restorations were printed with digital light processing type 3D printer using poly methyl meta acrylate-based resin. After washing and post-curing, compressive loading was applied at a speed of 1 mm/min on a metal jig fixed to a universal testing machine. The maximum pressure at which fracture occurred was measured. For the statistical analysis, build direction was set as the independent variable and fracture strength as the dependent variable. One-way analysis of variance and Tukey's post hoc analysis was conducted to compare fracture strength among groups (${\alpha}=0.05$). Result: The mean flexural strength of provisional restoration 3D printed with the build direction of $0^{\circ}$ was $1,053{\pm}168N$; it was $1,183{\pm}188N$ at $30^{\circ}$, $1,178{\pm}81N$ at $45^{\circ}$, $1,166{\pm}133N$ at $60^{\circ}$, and $949{\pm}170N$ at $90^{\circ}$. The group with a build direction of $90^{\circ}$ showed significantly lower flexural strength than other groups (P<0.05). The flexural strength was significantly higher when the build direction was $30^{\circ}$ than when it was $90^{\circ}$ (P<0.01). Conclusion: Among the build directions $0^{\circ}$, $30^{\circ}$, $45^{\circ}$, $60^{\circ}$, and $90^{\circ}$ set for 3D printing of fixed dental prosthesis, an orientation of $30^{\circ}$ is recommended as an effective build direction for 3D printing.
The metaverse, derived from the fusion of "meta" and "universe," encompasses a three-dimensional virtual realm where avatars actively participate in a range of political, economic, social, and cultural activities. With the recent development of the metaverse, the traditional way of experiencing services is changing. While existing studies have mainly focused on the technological advancements of metaverse services (e.g., scope of technological enablers, application areas of technologies), recent studies are focusing on evaluating the quality of experience (QoE) of metaverse services from a customer perspective. This is because understanding and analyzing service characteristics that determine QoE from a customer perspective is essential for designing successful metaverse services. However, relatively few studies have explored the customer-oriented approach for QoE evaluation thus far. This study conducted an online review analysis using text mining to overcome this limitation. In particular, this study analyzed 227,332 online reviews of the Roblox service, known as a representative metaverse service, and identified points for improving the Roblox service based on the analysis results. As a result of the study, nine service features that can be used for QoE evaluation of metaverse services were derived, and the importance of each feature was estimated through relationship analysis with service satisfaction. The importance estimation results identified the "co-experience" feature as the most important. These findings provide valuable insights and implications for service companies to identify their strengths and weaknesses, and provide useful insights to gain an advantage in the changing metaverse service environment.
As the 4th industrial revolution progresses, new technologies and services are being born, growing, and maturing. Now, beyond the mobile era, the metaverse is being discussed as a new paradigm. Therefore, in this study, in preparation for the metaverse era, we tried to analyze what factors have an important influence when consumers want to use new technologies. In particular, the research was conducted focusing on how the context in which consumers use the technology changes depending on whether they are B2C or B2B. For this, augmented reality (AR) was selected in the B2C context by linking the research subject with the metaverse era, and the smart factory was selected in the B2B context. The research model for the analysis was established by deriving and setting common influence variables by reflecting the characteristics of the research target technology based on the modified extended unified theory of acceptance and use of technology. A survey was conducted for empirical analysis, and 150 AR and 150 smart factory subjects were analyzed. The empirical study results are as follows. The relationship between performance expectancy and intention to use, technology readiness and intention to use was found to have a significant positive (+) effect on both AR and smart factory. On the other hand, it was found that effort expectancy, social influence, and trust had a positive (+) effect on intention to use only in AR. Only in smart factory, facilitating conditions had a significant positive (+) effect on intention to use. It was also found that the perceived risk had a significant negative (-) effect on the intention to use only in the smart factory. The results of this study are academically significant in that we empirically test that influencing factors of technology use varies depending on the context in which it is used by consumers. In practice, it provided an implication of what to focus on first is being implemented.
MND(Ministry of National Defense) has developed MND AF(Ministry of National Defense Architecture Framework) and CADM(Core Architecture Data Model to guarantee interoperability among defense information systems. But, it is very difficult to manage architecture product documented through MND AF and CADM. So, there Is necessity for development of modeling tool and repository system which can develop architecture products and manage architecture product informations in common repository In this paper, we developed architecture product management system which supports development and management of meta model and architecture product of MND AF and CADM. Through architecture product management system architect of each agency can construct architecture product in a more effective and efficient way with modeling method and a user can search and refer useful architecture product informations using query function. Also, architecture product management system provides the basis for system integration and interoperability with integration, analysis and comparison of architecture product.
Kim, Hyo-Mi;Heo, Jin-A;Park, Yoon-Hyung;Lee, Jong-Tae
Journal of Environmental Health Sciences
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v.38
no.3
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pp.184-194
/
2012
Objectives: We investigated the effects of air pollution on allergic diseases (allergic rhinitis, asthma, atopic dermatitis) in metropolitan cities in Korea, adjusting for meteorological factors. Methods: Data on daily hospital visits and hospital admissions for 2003-2010 was obtained from the National Health Insurance Cooperation. Meteorological data was obtained from the Korea Meteorological Administration. We then calculated daily mean temperature, daily mean humidity, daily mean air pressure at sea level, and diurnal temperature range. We used data on air pollution provided by the National Institute of Environmental Research. Maximum daily eight-hour average ozone concentrations and the daily mean $PM_{10}$ were used. We estimated excess risk and 95% confidence interval for the increasing interquatile range (IQR) of each air pollutant using Generalized Additive Models (GAM) that appropriate for time series analysis. Results: In this study, we observed an association between ozone and hospital visits for allergic rhinitis, asthma, and atopic dermatitis in all metropolitan cities, adjusting for temperature, humidity, air pressure at sea level, diurnal temperature range, and day of the week. Ozone was associated with hospital visits for allergic rhinitis, asthma, and atopic dermatitis across all metropolitan cities. However $PM_{10}$ was associated with allergic-related diseases in only select cities. Also, ozone and $PM_{10}$ were associated with hospital admission for asthma in all cities except Gwangju. Hospitalization for the other diseases failed to show consistent association with air pollutants. Conclusion: In the findings of this study, there was a significant association between air pollutants and allergic-related diseases. More detailed research subdivided age group or conducting meta-analyses combining data of all cities is required.
Purpose: This study was to systematically review the contents and effects of nurse-led transitional care programs for discharged patients from hospital to home. Methods: Randomized controlled trials published between 2005 and 2015 were searched in Pubmed, Embase, Cochrane(Central Register of Controlled Trials) and CINAHL. Data were analyzed using Cochrane Review Manager(Revman) software 5.3. Results: Nine studies were selected and analyzed. Patient assessment, education and discharge planning were included in pre-discharge phase. Referring, communication and care planning were performed by nurses in transition phase. Home and phone visits, monitoring and multidisciplinary advices were included in post-discharge phase. Various outcome measures such as hospital utilization(30 days readmission and emergency department visit), quality of life, and cost were used to identify effectiveness of nurse-led transitional care programs. 30 days readmission(OR=.73, 95% CI 0.54, 0.98; p=.03) and emergency department visit(OR=.67, 95% CI 0.50, 0.88; p=.005) were statistically significant in meta-analysis. However, participant blinding was not done in seven studies which put at the risk of performance bias. Conclusion: The results indicated that nurse-led transitional care program is effective in reducing unnecessary hospital utilization. Nevertheless, small sample size and risk at performance bias are the limitation of this study. Thus, we suggest that well-designed randomized controlled trials need to be conducted.
Background: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are immune-complex-mediated hypersensitivity reactions that predominantly involve skin and mucous membranes. Despite the low incidence, both are considered medical emergencies as the mortality rate has been estimated at 30-50%. Although as many as half of cases are idiopathic, several drugs have been implicated as main cause of SJS/TEN. This review therefore aimed to identify drugs that were potentially associated with SJS/TEN and compare the relative risk of the medications. Method: A comprehensive search was performed using MEDLINE, EMBASE and 5 Korean databases. We defined study drugs as non-steroidal anti-inflammatory drugs (NSAIDs), antibiotics, antiepileptics, and allopurinol. Only epidemiologic studies investigating associations between the above drugs and drug-induced SJS/TEN were included. Two reviewers independently selected and evaluated candidate papers and extracted odds ratios or incidence rates. Meta-analysis was performed only for drugs that were reported from 4 or more studies. Results: We found 8 case-control studies, 3 cohort studies and 1 RCT. The ranges of adjusted ORs were 0.6-34.0 for NSAIDs, 1.6-302.0 for antiepileptics, 0.3-10.0 for antibiotics and 1.0-187.0 for allopurinol. The drug with the highest incidence of SJS/TEN was carbamazepine (40 persons/1,000 DDD). Conclusion: Finally, the risk was highest in first 8 weeks after onset of treatment in all drugs.
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