• Human Ecology Research
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• v.60 no.1
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• pp.99-113
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• 2022

This study examined the effect of maternal cognitive empathy on children's executive function focusing on mediating effects of preschooler's caring behavior and happiness. The subject of this study was 460 five-year-old preschooler-their mother dyads in Korea. Data were collected by Korean Version of Questionnaire of Cognitive and Affective Empathy(K-QCAE), Caring Behaviors Scale for Young Children, Happiness Scale for Young Children and Behavior Rating Inventory of Executive Function-Preschool Version(BRIEF-P). Data were analyzed using descriptive statistics, independent samples t-test, Pearson correlation analysis, structural equation model and bootstrapping test with SPSS 25.0 and AMOS 23.0 program. The major results were as follows. 1) Maternal cognitive empathy had a positive influence on preschooler's caring behavior. 2) Preschooler's caring behavior had a positive influence on happiness and executive function. 3) Preschooler's happiness had a positive influence on executive function. 4) The effect of maternal cognitive empathy on preschooler's executive function was mediated by preschooler's caring behavior. 5) The effect of maternal cognitive empathy on preschooler's executive function was sequentially mediated by preschooler's caring behavior and happiness. This study revealed that maternal cognitive empathy, preschooler's caring behavior, and happiness have an important role in preschooler's executive function. Most of all, we suggest that maternal cognitive empathy should be improved to promote preschooler's executive function. The findings of this study will contribute to designing intervention programs to improve preschooler's executive function as well as maternal empathy.

• Journal of Preventive Medicine and Public Health
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• v.56 no.1
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• pp.31-40
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• 2023

Objectives: This study investigated the effect of cognitive impairment on the association between social network properties and mortality among older Korean adults. Methods: This study used data from the Korean Social Life, Health, and Aging Project. It obtained 814 older adults' complete network maps across an entire village in 2011-2012. Participants' deaths until December 31, 2020 were confirmed by cause-of-death statistics. A Cox proportional hazards model was used to assess the risks of poor social network properties (low degree centrality, perceived loneliness, social non-participation, group-level segregation, and lack of support) on mortality according to cognitive impairment. Results: In total, 675 participants (5510.4 person-years) were analyzed, excluding those with missing data and those whose deaths could not be verified. Along with cognitive impairment, all social network properties except loneliness were independently associated with mortality. When stratified by cognitive function, some variables indicating poor social relations had higher risks among older adults with cognitive impairment, with adjusted hazard ratios (HRs) of 2.12 (95% confidence interval [CI], 1.34 to 3.35) for social nonparticipation, 1.58 (95% CI, 0.94 to 2.65) for group-level segregation, and 3.44 (95% CI, 1.55 to 7.60) for lack of support. On the contrary, these effects were not observed among those with normal cognition, with adjusted HRs of 0.73 (95% CI, 0.31 to 1.71), 0.96 (95% CI, 0.42 to 2.21), and 0.95 (95% CI, 0.23 to 3.96), respectively. Conclusions: The effect of social network properties was more critical among the elderly with cognitive impairment. Older adults with poor cognitive function are particularly encouraged to participate in social activities to reduce the risk of mortality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.3
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• pp.289-304
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• 2010

This paper proposes a novel scheme for cooperative spectrum sensing on distributed cognitive radio networks. A fuzzy logic rule - based inference system is proposed to estimate the presence possibility of the licensed user's signal based on the observed energy at each cognitive radio terminal. The estimated results are aggregated to make the final sensing decision at the fusion center. Simulation results show that significant improvement of the spectrum sensing accuracy is achieved by our schemes.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.2
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• pp.83-93
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• 2020

The purpose of this study was to verify the effect on learning using YouTube. The relationship between expectations, cognitive attitudes, emotional attitudes, and reuse intentions was explored. The results are as follows. First, the factors affecting the intention to reuse YouTube were emotional attitude and expectation. cognitive attitude did not show any significant effect. Second, cognitive attitude and expectation agreement were significant variables in emotional attitude. cognitive attitude was identified as a major factor affecting emotional attitude. Third, expectation agreement was found to have a significant influence on cognitive attitude. Therefore, expectancy is an important factor in identifying cognitive attitudes. In particular, the satisfaction of expectations after experiencing a new technology or system, such as YouTube, affects the cognitive attitude. Finally, the main findings of this study were that cognitive attitude was not a variable affecting the intention to reuse YouTube. The reason for this is that YouTube is used as a medium of interest, and it is not used as a medium for searching the main data source for learning. Therefore, in order to activate YouTube learning, it is necessary to convert recognition into YouTube for learning rather than YouTube for play.

• Asian Oncology Nursing
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• v.12 no.3
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• pp.221-229
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• 2012

Purpose: The purpose of this study was to identify correlates influencing cognitive impairment in breast cancer patients receiving chemotherapy. Methods: Study subjects consisted of 102 breast cancer patients who received chemotherapy. Subjects were the members of a breast cancer self-help group. Data were collected using structured self-reporting questionnaires including scales of cognitive impairment, physical status, fatigue, quality of life, emotional status, sleeping, family support, and menopausal symptoms. Statistical Package for Social Sciences was used for statistical analyses. Results: Breast cancer patients receiving chemotherapy appeared to show a high level of cognitive impairment. Among demographic characteristics, the effects of economic status and family type on cognitive impairment were found to be statistically significant. Among disease related characteristics, the effect of duration of chemotherapy on cognitive impairment was statistically significant. Menopausal symptoms were positively associated with cognitive impairment. The model including postmenopausal symptoms and caregiver type explained about 66% of variability in cognitive impairment. Conclusion: These findings highlight the importance of contextual factors in understanding cognitive impairment in breast cancer patients receiving chemotherapy and can be used to develop appropriate, effective nursing interventions.

• Korean Journal of Adult Nursing
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• v.26 no.1
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• pp.34-45
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• 2014

Purpose: The purpose of this study was to investigate the effect of laughter therapy and cognitive reinforcement program on self-efficacy, depression and cognitive functions of the elderly with mild cognitive impairments (MCI). Methods: The study design was a non-equivalent control group pre and posttest design. Thirty-six subjects over the age of 65 with a diagnosis of mild cognitive impairment were assigned either to a treatment or a comparison group. Data were collected from February 7 to March 27, 2012 in the dementia supporting center. An eight week treatment program that included laughter therapy coupled with a cognitive reinforcing program including hand exercise, laughter dance routine, laughter technic and cognitive training for attention, memory, orientation and execution skill. Results: MoCA-K (t=-6.86, p<.001) and Stroop test CW correct (t=-2.54, p=.008), self-efficacy (t=-3.62, p=.001) in the treatment group were significantly higher than those of the comparison group. Reported depression (t=2.29, p=.014), Stroop test CW error (U=53.50, p<.001) in the treatment group was significantly less than the comparison group. Conclusion: In this study, the treatment was effective in improving self-efficacy, cognitive function and reducing depression in the elderly with MCI.

• PNF and Movement
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• v.12 no.4
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• pp.217-224
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• 2014

Purpose: The purpose of this study is to analyze the hand functions of elderly persons according to their cognitive status and age. Methods: A total of 65 persons voluntarily participated in the study. The subjects were divided into three groups: impairment cognitive group, normal cognitive group, adult group (persons in their twenties). Assessment of cognitive status was performed using a mini-mental state examination for Koreans (MMSE-K). Hand function was assessed using the Purdue pegboard test. The collected data were analyzed using a one-way ANOVA and Pearsonn Acorrelation. Results: There were significant differences in hand functions in the three groups. Post-hoc test results showed significant differences between each group. There were statistically significant differences in the correlation among hand functions, cognitive status, and age. The findings of this study suggest that hand functions have a positive correlation with cognitive status. However, a negative correlation was found between hand function and age. Conclusion: According to the study's results, hand functions are correlated with age and cognitive functions in elderly persons. This study suggests that hand rehabilitation with cognitive intervention increases hand functions in elderly persons.

• Korean Journal of Clinical Pharmacy
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• v.34 no.2
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• pp.118-125
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• 2024

Background: Numerous studies have consistently demonstrated that depression can be associated with cognitive function decline, primarily focusing on older adults due to the neurodegenerative characteristics of dementia. With persistent depression frequently reported in patients with early-onset or young-onset dementia, this study aimed to assess the impact of depression, specifically the changes in depressive symptoms over time, on the risk of cognitive function decline in middle-aged adults in Korea. Methods: This retrospective study utilized data from the first four waves (2006-2012) of the Korean Longitudinal Study of Aging (KLoSA), focusing on middle-aged adults with normal cognitive function at baseline. Changes in depressive symptoms were categorized into four groups based on the CES-D score, and their association with cognitive function decline was evaluated using a multivariate logistic regression model. Results: Of the initial 10,254 participants, 3,400 were included in the analysis. Depressive status, particularly newly onset (adjusted odds ratio [aOR] 1.96; 95% confidence interval [CI] 1.32-2.93) and persistent depression groups (aOR 5.59; 95% CI 2.90-10.78), were significantly associated with cognitive function decline. In contrast, recovery from depressive symptoms was not significantly associated with cognitive function decline (p=0.809). Conclusions: Our study showed a significant association between changes in depressive symptoms and cognitive function decline in middle-aged Korean adults. This suggests that management of depressive symptoms could be crucial for the prevention of cognitive function decline in this population.

• ETRI Journal
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• v.39 no.4
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• pp.558-569
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• 2017

In this study, a non-preemptive M/G/1 queueing model of a spectrum handoff scheme for cognitive wireless networks is proposed. Because spectrum handoff gives secondary users an opportunity to carry on their transmissions, it is crucially important to determine the actions of primary users. In our queueing model, prioritized data traffic is utilized to meet the requirements of the secondary users. These users' packets are categorized into three different priority classes: urgent, real-time, and non-real time. Urgent data packets have the highest priority, while non-real time data packets have the lowest priority. Riverbed (OPNET) Modeler simulation software was used to simulate both reactive and proactive decision spectrum handoff schemes. The simulation results were consistent with the analytical results obtained under different load and traffic conditions. This study also revealed that the cumulative number of handoffs can be drastically decreased by exploiting priority classes and utilizing a decent spectrum handoff strategy, such as a reactive or proactive decision-based strategy.

• Journal of information and communication convergence engineering
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• v.13 no.2
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• pp.74-80
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• 2015

In cognitive radios, spectrum sensing plays an important role in accurately detecting the presence or absence of a licensed user. However, the intervention of malicious users (MUs) degrades the performance of spectrum sensing. Such users manipulate the local results and send falsified data to the data fusion center; this process is called spectrum sensing data falsification (SSDF). Thus, MUs degrade the spectrum sensing performance and increase uncertainty issues. In this paper, we propose a method based on the Hausdorff distance and a similarity measure matrix to measure the difference between the normal user evidence and the malicious user evidence. In addition, we use the Dempster-Shafer theory to combine the sets of evidence from each normal user evidence. We compare the proposed method with the k-means and Jaccard distance methods for malicious user detection. Simulation results show that the proposed method is effective against an SSDF attack.