• 한국노년학
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• v.37 no.2
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• pp.431-444
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• 2017

This study identified effect size of cognition improvement programs developed for normal elderly in Korea. By searching four databases, 9,624 studies published from 2000 to 2016 were identified. Finally, 14 studies which satisfied the inclusion criteria were selected for meta-analysis. Quality assessment of included studies was conducted using controlled trial checklist of Scottish Intercollegiate Guidelines Network. R version 3.3.2 (2016-10-31) with "meta" and "metafor" package was used to calculate effect sizes, identify the reasons of heterogeneity, and check publication bias. Total effect size of cognition improvement program was middle (SMD=0.759, p<.001, $I^2=34%$). For heterogeneity, moderator analysis was executed and combined program with exercise had the largest effect size (SMD=1.231, p<.001, $I^2=40.8%$). Publication bias was exist by funnel plot and Egger 's regression test, but trim and fill analysis showed that there was no serious error to reverse study results. Therefore, Combined program with exercise for the normal elderly was expected to improve the cognitive function of the normal elderly.

• Journal of Preventive Medicine and Public Health
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• v.31 no.1 s.60
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• pp.91-103
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• 1998

Under experimental conditions, UVB radiation, a type of ultra violet radiation, has shown to .elate with the occurrence of skin erythema (sun-burn) in human and skin cancer in experimental animal. Cumulative exposure to UVB is also believed to be at least partly responsible for the 'aging' process of the skin in human. It has also been observed to have an effect of altering DNA (deoxyribonucleic acid). UVB radiation is both an initiator and a promoter of non-melanoma skin cancer. Meta-analysis is a new discipline that critically reviews and statistically combines the results of previous researches. A recent review of meta-analysis in the field of public health emphasized its growing importance. Using a meta-analysis in this study, we explored more reliable dose-response relationships between UVB radiation and skin cancer incidence. We estimated skin cancer incidence using measured UVB radiation dose at a local area of Seoul (Shin chou-dong). The studies showing the dose-response relationships between UVB radiation and non-melanoma skin cancer incidence were searched and selected for a meta-analysis. The data for 7 reported epidemiological studies of three counties (USA, England, Australia) were pooled to estimated the risk. We estimated rate of incidence change of skin cancer using pooled data by meta-analysis method, and exponential and power models. Using either model, the regression coefficients for UVB did not differ significantly by gender and age. In each analysis of variance, non-melanoma skin cancer incidence after removing the gender and age and UVB effects was significant (p>0.01). The coefficients for UVB dose were estimated $2.07\times10^{-6}$ by the exponential model and 2.49 by the power model. At a local area of Seoul (Shinchon-Dong), BAF value were estimated 1.90 and 2.51 by the exponential and power model, respectively. The estimated BAP value were increased statistical power than that of primary studies that using a meta-analysis method.

• Physical Therapy Korea
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• v.31 no.2
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• pp.91-103
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• 2024

Stroke is one of the most common disabilities experienced by the elderly in the community. However, stroke progresses to a chronic level, patients are discharged from medical institutions and eventually no longer receive therapeutic interventions at home. In this systematic review, we compared home-based rehabilitation (HBR) with comparison for patients with stroke. Literature published in Cumulative Index for Nursing and Allied Health Literature (CINAHL), Embase, Physiotherapy Evidence Database (PEDro), PubMed, and Google Scholar were reviewed. A total of 1,158 studies were initially retrieved. After reading the full texts, 11 articles were included in the systematic review. Quality assessment of the included studies was conducted using Risk of Bias (RoB) 2.0, and Egger's regression test was used to evaluate publication bias. Data analysis was performed using the R studio software (R Studio). According to the quality assessment using RoB 2.0, three studies were evaluated as low risk, two as of some concern, and three as high risk. The overall effect size was moderate (0.309). The value of the balance function was a small effect size (0.201), while the value of the gait function was a moderate effect size (0.353). The values were small and moderate effect (0.154, 0.411) for the chronic and subacute conditions, respectively. According to the Egger's regression test, no publication bias was observed. The findings of this study indicate that HBR resulted in the greatest improvement in gait function in patients with subacute stroke compared to those with chronic stroke. Therefore, the application of this intervention to patients with stroke in the community is recommended.

• Journal of Preventive Medicine and Public Health
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• v.49 no.4
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• pp.205-219
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• 2016

Objectives: No children-specified review and meta-analysis paper about the short-term effect of fine particulate matter ($PM_{2.5}$) on hospital admissions and emergency department visits for asthma has been published. We calculated more precise pooled effect estimates on this topic and evaluated the variation in effect size according to the differences in study characteristics not considered in previous studies. Methods: Two authors each independently searched PubMed and EMBASE for relevant studies in March, 2016. We conducted random effect meta-analyses and mixed-effect meta-regression analyses using retrieved summary effect estimates and 95% confidence intervals (CIs) and some characteristics of selected studies. The Egger's test and funnel plot were used to check publication bias. All analyses were done using R version 3.1.3. Results: We ultimately retrieved 26 time-series and case-crossover design studies about the short-term effect of $PM_{2.5}$ on children's hospital admissions and emergency department visits for asthma. In the primary meta-analysis, children's hospital admissions and emergency department visits for asthma were positively associated with a short-term $10{\mu}g/m^3$ increase in $PM_{2.5}$ (relative risk, 1.048; 95% CI, 1.028 to 1.067; $I^2=95.7%$). We also found different effect coefficients by region; the value in Asia was estimated to be lower than in North America or Europe. Conclusions: We strengthened the evidence on the short-term effect of $PM_{2.5}$ on children's hospital admissions and emergency department visits for asthma. Further studies from other regions outside North America and Europe regions are needed for more generalizable evidence.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.429-439
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• 2020

This study examined the effect size of virtual reality programs on the upper extremity function of stroke patients through a meta-analysis. Databases, such as the Research Information Sharing Service, the Korean Studies Information Service System, the National Library of Korea, the Korean Citation Index, and the National Digital Science Library, were used. Previous articles were surveyed for virtual reality programs between January 2010 and June 2019. A meta-analysis was performed by selecting the final 14 studies based on the PICO standard. The RoB and RoBANS tools were used as quality assessment tools for randomized and non-randomized control trials, respectively. The CMA 3.0 program was used to calculate the effect size of each study. Sub-group analysis, meta-regression analysis, and publication bias were performed. The total effect size of the virtual reality programs on the upper extremity function was Hedges's g=0.390 (95% CI: 0.192~0.587) (p<.05). The virtual reality program positively affects the upper extremity function of stroke patients. Therefore, the development of various virtual reality programs and industry-academia cooperation technology for stroke patients is required in accordance with the fourth industry. Randomized control trials and detailed upper extremity function studies for virtual reality programs will be needed in follow-up studies.

• Korean Journal of Culture and Social Issue
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• v.30 no.3
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• pp.239-265
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• 2024

The purpose of this study was to compare the predictive accuracy of traditional prediction models (methods) and machine learning algorithms in predicting suicidal behaviors. The research aimed to go beyond a systematic review level and scientifically examine the predictive capabilities of these two techniques through meta-analysis, analyzing variables identified through domestic research, particularly at the regional level. In order to achieve this, a total of 124 studies, including 50 studies utilizing machine learning and 74 studies employing traditional methods, were included in the meta-analysis. The results of the study revealed that the integrated area under the curve (AUC) for studies using traditional methods was .770, which was lower than the integrated AUC value of .853 for studies using machine learning. Particularly, studies conducted in Asia (AUC = .944) demonstrated higher accuracy compared to studies in Western countries (AUC = .820) and Korea (AUC = .864). Additional analysis of the moderating effects in domestic research indicated that a higher proportion of males and the prediction of suicide attempts were associated with higher prediction accuracy. On the other hand, prediction accuracy was lower when the prediction target was suicide deaths and when studies utilized neural network analysis. This study synthesized various research findings on the prediction of suicidal behaviors, verified the effectiveness of prediction using machine learning, and holds significance in exploring variables applicable in the context of South Korea.

• Journal of Korean Academy of Nursing
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• v.49 no.6
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• pp.655-676
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• 2019

Purpose: The purpose of this study was to investigate the effects of aromatherapy on sleep quality. Methods: This is a systematic review of randomized controlled trial studies (PROSPERO registration number CRD42017064519). In this study, the PICO were adults and the elderly, aromatherapy intervention, a comparative intervention with the control and placebo oil groups, and sleep. The selected articles were in English, Korean, and Chinese. Results: The results of the meta-analysis showed that the effect sizes of the experimental group were 1.03 (n=763, SMD=1.03, 95% CI 0.66 to 1.39) (Z=5.47, p<.001). In the aromatherapy intervention group, the effect size of sleep was statistically significant (Q_B=9.39, df=2, p=.009), with a difference of 0.77 for inhalation, 1.12 for oral intake and 2.05 for massage. A post-analysis showed that the effect of massage on sleep was significantly greater than the inhalation method. The regression coefficient of the intervention period, B=0.01 (Z=1.43, p=.154), also showed that the longer the intervention period, the larger the effect size; however, it was not statistically significant. Conclusion: A total of 23 literature analyses showed that aromatherapy is effective in improving quality of sleep, and the massage method is more effective in improving quality of sleep than the inhalation method. A meta-ANOVA showed that the aromatherapy intervention affected the high heterogeneity of the effect size. Thus, future research with stricter control in methods and experimental procedures is necessary.

• Journal of Animal Science and Technology
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• v.56 no.2
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• pp.5.1-5.5
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• 2014

The objectives of this study were thus to identify most significant factors that determine milk component yield (MCY) using a meta-analysis and, if possible, to develop equations to predict MCY using variables that can be easily measured in the field. A literature database was constructed based on the research articles published in the Journal of Dairy Science from Oct., 2007 till May, 2010. The database consisted of a total of 442 observed means for MCY from 118 studies. The candidate factors that determine MCY were those which can be routinely measured in the field (e.g. DMI, BW, dietary forage content, chemical composition of diets). Using a simple linear regression, the best equations for predicting milk fat yield(MFY) and milk protein yield (MPY) were $MFY=0.351({\pm}0.068)+0.038({\pm}0.003)$ DMI ($R^2=0.27$), and $MPY=0.552({\pm}0.071)+0.031({\pm}0.002)DMI-0.004({\pm}0.001)$ FpDM (%, forage as a percentage of dietary DM) ($R^2=0.38$), respectively. The best equation for predicting milk fat content (%) explained only 12% of variations in milk fat content, and none of a single variable can explain more than 5% of variations in milk protein content. We concluded that among the tested variables, DMI was the only significant factor that affects MFY and both DMI and FpDM significantly affect MPY. However, predictability of linear equations was relatively low. Further studies are needed to identify other variables that can predict milk component yield more accurately.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.8
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• pp.3233-3239
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• 2015

Background: Whether depression causes increased risk of the development of breast cancer has long been debated. We conducted an updated meta-analysis of cohort studies to assess the association between depression and risk of breast cancer. Materials and Methods: Relevant literature was searched from Medline, Embase, Web of Science (up to April 2014) as well as manual searches of reference lists of selected publications. Cohort studies on the association between depression and breast cancer were included. Data abstraction and quality assessment were conducted independently by two authors. Random-effect model was used to compute the pooled risk estimate. Visual inspection of a funnel plot, Begg rank correlation test and Egger linear regression test were used to evaluate the publication bias. Results: We identified eleven cohort studies (182,241 participants, 2,353 cases) with a follow-up duration ranging from 5 to 38 years. The pooled adjusted RR was 1.13(95% CI: 0.94 to 1.36; $I^2=67.2%$, p=0.001). The association between the risk of breast cancer and depression was consistent across subgroups. Visual inspection of funnel plot and Begg's and Egger's tests indicated no evidence of publication bias. Regarding limitations, a one-time assessment of depression with no measure of duration weakens the test of hypothesis. In addition, 8 different scales were used for the measurement of depression, potentially adding to the multiple conceptual problems concerned with the definition of depression. Conclusions: Available epidemiological evidence is insufficient to support a positive association between depression and breast cancer.

• Korean Journal of Radiology
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• v.21 no.7
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• pp.908-918
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• 2020

Objective: To categorize the radiological patterns of recurrence after bevacizumab treatment and to derive the pooled proportions of patients with recurrent malignant glioma showing the different radiological patterns. Materials and Methods: A systematic literature search in the Ovid-MEDLINE and EMBASE databases was performed to identify studies reporting radiological recurrence patterns in patients with recurrent malignant glioma after bevacizumab treatment failure until April 10, 2019. The pooled proportions according to radiological recurrence patterns (geographically local versus non-local recurrence) and predominant tumor portions (enhancing tumor versus non-enhancing tumor) after bevacizumab treatment were calculated. Subgroup and meta-regression analyses were also performed. Results: The systematic review and meta-analysis included 17 articles. The pooled proportions were 38.3% (95% confidence interval [CI], 30.6-46.1%) for a geographical radiologic pattern of non-local recurrence and 34.2% (95% CI, 27.3-41.5%) for a non-enhancing tumor-predominant recurrence pattern. In the subgroup analysis, the pooled proportion of non-local recurrence in the patients treated with bevacizumab only was slightly higher than that in patients treated with the combination with cytotoxic chemotherapy (34.9% [95% CI, 22.8-49.4%] versus 22.5% [95% CI, 9.5-44.6%]). Conclusion: A substantial proportion of high-grade glioma patients show non-local or non-enhancing radiologic patterns of recurrence after bevacizumab treatment, which may provide insight into surrogate endpoints for treatment failure in clinical trials of recurrent high-grade glioma.