• 제목/요약/키워드: Mood State

검색결과 210건 처리시간 0.026초

치매노인에 대한 동물로봇 매개 중재 프로그램의 효과 (Effects of a Robot Pet-assisted Program for Elderly People with Dementia)

  • 송정희
    • 대한간호학회지
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    • 제39권4호
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    • pp.562-573
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    • 2009
  • Purpose: The purpose of this study was to identify the effects on the cognitive function, Activities of Daily Living (ADL), mood, social behaviors, and problematic behaviors of robot pet-assisted program for elderly people with dementia. Methods: This study was a nonequivalent control group pretest-posttest design. The participants were 32 elders with dementia. Seventeen were assigned to the experimental group and 15 to the control group. The intervention was conducted twicea week for 6 weeks. Results: 1) After the program, cognitive function, ADL, and social behaviors did not show significant differences. 2) After the program, mood of experimental group was significantly better than that of the control group. 3) After the program, problematic behaviors of the experimental group were significantly more diminished than those of control group. 4) As a result of analyzing the response, robot pet-assisted program was effective such as inducing a positive emotional state and increasing communication and interaction. Conclusion: The robot pet-assisted program was effective in changing the mood and diminishing problematic behaviors and had positive effects such as increasing communication and interaction for elders with dementia. Therefore, this program should be considered as a positive program for physical and emotional support for elders with dementia.

아건강 설문지와 기분상태척도의 상관성 연구 (Correlation Analysis of Korean Version of the Subhealth Questionnaire And Profile of Mood States Factors)

  • 유재민;박영재;박영배
    • 대한한의진단학회지
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    • 제15권1호
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    • pp.77-86
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    • 2011
  • Objectives: With increased rate of chronic disease, concerns about preventive medicine has raised. Therefore questionnaire of subhealth status was developed and analysed in our previous study. A large number of chronic diseases is related to emotional issues. This study was to confirm a relationship between mood state and health status in terms of modern people's healthcare. Methods: Subhealth Questionnaire and Korean version of Profile of Mood States(k-POMS) were putted by 113 college students. And correlation and regression analysis was conducted. Results: Subhealth questionnaire and k-POMS proved a significant correlation. In particular, subhealth factor 3(mood) had a significant correlation with all factors of k-POMS. Subhealth factor 1(body), subhealth factor 2(life) and subhealth factor 6(society) had significant correlations with 5 factors of k-POMS. Subhealth factor 4(energy) and subhealth factor 5(heredity) did not show significant results. 'Fatigue' factor of k-POMS was proved to be the most important factor influencing the subhealth status and illness, indicating high correlations with all of subhealth status.

양극성 장애에서의 수면장애: 일주기 리듬의 교란과 수면 무호흡증을 중심으로 (Sleep Disorders in Bipolar Disorders: A Narrative Review on Circadian Rhythm Disturbances and Sleep Apnoea)

  • 이준희;오상훈
    • 수면정신생리
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    • 제29권2호
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    • pp.40-44
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    • 2022
  • Bipolar disorders are a group of mood disorders characterised by relapsing mood episodes throughout the course of illness. Patients with bipolar disorders commonly present with various sleep problems. Patients in a manic episode generally show decreased need of sleep and those in a depressed episode frequently complain about hypersomnia. Current literature even points to evidence that patients with bipolar disorder in euthymic state may still show signs of sleep disturbances when compared to the general population. Clinicians may also note intricate interactions between changes of circadian rhythm and evolution of mood episodes in patients with bipolar disorder. Also, commonly prescribed medications which plays a crucial role in treatment of bipolar disorders including mood stabilisers and antipsychotic medications often cause significant weight gain over time. Being a risk factor of sleep apnoea, weight gain can predispose the patient to develop sleep apnoea. In this narrative review, we summarised current evidence and literature regarding characteristics of circadian rhythm and comorbid sleep apnoea in patients with bipolar disorder. We also present literature regarding implications of circadian disturbance and comorbid sleep apnoea in managing patients with bipolar disorder.

The Effect of Forest Experience on School Life Satisfaction of Korean Boarding Middle School Students

  • Myoung Suk Lee;Man-Leung Ha;Hyun Kim;Chong Kyu Lee
    • Journal of Forest and Environmental Science
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    • 제39권3호
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    • pp.140-149
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    • 2023
  • We surveyed to assess the impact of the mood states and sentiments resulting from forest experience on the school life satisfaction of Korean boarding middle school students (n=90). The average mood state score was 2.32 on a scale of 1-5, with the subscale of vigor scoring the highest (3.19). The average sentiment score was 3.08, with the subscale of subjective happiness scoring the highest (3.08). The average school life satisfaction score was 3.66, with the subscale of interpersonal relationships scoring the highest (3.91). The mood states resulting from forest experience explained 39.6% of the variance in school life satisfaction, and the regression model showed a significant fit (F=9.077, p<0.001). Similarly, sentiments resulting from forest experience explained 47.4% of school life satisfaction, with the regression model showing a significant fit (F=10.569, p<0.001). It can be concluded that forest experience positively impacts the school life satisfaction of Korean boarding middle school students.

피톤치드흡입이 폐경기 여성의 기분상태 및 건강 관련 삶의 질에 미치는 영향 (Effects of Phytoncide Aroma Inhalation on Mood State and Health Related Quality of Life among Menopausal Women)

  • 이영조;김수영
    • 융합정보논문지
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    • 제10권5호
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    • pp.224-231
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    • 2020
  • 본 연구의 목적은 피톤치드흡입이 폐경기 여성의 기분상태 및 건강 관련 삶의 질에 변화를 8주간 실험을 통하여 분석하는 것이였다. 연구대상자는 서울 소재 D, N구의 폐경 후 2년 이하 41명을 목적적 표집하였다. 실험설계는 피톤치드흡입집단과 통제집단으로 구성되는 연구대상자 요인과 사전측정(0week)·중간측정(4week)·사후측정(8week)의 3개 측정시점으로 구성되는 2×3 반복측정에 의한 요인설계를 이용하였다. 본 연구의 종속변인으로는 기분상태와 건강관련 삶의 질로 설정하였으며 사전측정·중간측정·사후측정 3회 질문지를 통하여 자료를 수집하였다. 분석방법은 one-way ANOVA와 사후검증을 실시하였다. 도출된 결과는 첫째, 폐경기 여성의 피톤치드흡입집단이 통제집단에 비하여 긴장, 우울, 피로, 혼돈 요인의 감소 효과와 활력 요인의 증가 효과가 통계적 유의하게 나타났다. 둘째, 폐경기 여성의 피톤치드흡입집단은 통제집단에 비하여 유능감, 정신적 안녕, 안정성, 활력 요인에서 통계적 유의한 증가 추이를 나타내었다.

Machine Learning Algorithm Accuracy for Code-Switching Analytics in Detecting Mood

  • Latib, Latifah Abd;Subramaniam, Hema;Ramli, Siti Khadijah;Ali, Affezah;Yulia, Astri;Shahdan, Tengku Shahrom Tengku;Zulkefly, Nor Sheereen
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.334-342
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    • 2022
  • Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

The Effects of Single Session Forest Walking on Physiological and Psychological State of Myocardial Infarction Patients

  • Shin, Jung-Woo;Choi, Jong-Hwan
    • 인간식물환경학회지
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    • 제22권1호
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    • pp.109-118
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    • 2019
  • Physical activities in the forest environment stimulate the parasympathetic nervous system of humans and have positive effects on the autonomic nervous system as well as moods and emotions. However, there are almost no studies on the benefits of exercise in the forest environment for patients with myocardial infarction. The aim of this study was to investigate the effects of 15-minute single session walking by myocardial infarction patients in the forest and urban environment on the physiological and psychological states. The heart rate variability was measured in 10 patients with myocardial infarction to assess physiological state after single session walking for 15 minutes in the forest environment and urban environment. In order to evaluate the psychological state, a profile of mood scale (POMS) and semantic differential (SD) questionnaire were used. The results of this study showed that 15-minute single session walking in the forest environment activated the parasympathetic nervous system of adult myocardial infarction patients more than 15 minutes of single session walking in the urban environment, and also made them feel more positive in terms of the POMS and SD. Therefore, this study suggests that even single session walking in the forest environment can positively influence the physiological and psychological states of adult heart disease patients and may also contribute to health care.

텍스트 및 영상의 멀티모달분석을 이용한 트위터 사용자의 감성 흐름 모니터링 기술 (Monitoring Mood Trends of Twitter Users using Multi-modal Analysis method of Texts and Images)

  • 김은이;고은정
    • 한국융합학회논문지
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    • 제9권1호
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    • pp.419-431
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    • 2018
  • 본 논문은 개인 사용자의 트윗을 분석하여 사용자의 감정 흐름을 모니터링할 수 있는 새로운 방법을 제안한다. 본 논문에서는 사용자의 감성 흐름을 정확하게 예측하기 위해서 기존의 텍스트 위주의 시스템과 달리 본 연구에서는 사용자가 쓴 텍스트와 영상 등으로부터 감성을 인식하는 멀티 모달 분석 기법이 개발된다. 제안된 방법에서는 먼저 어휘분석 및 문맥을 이용한 텍스트분석기와 학습기반의 영상감성인식기를 이용하여 텍스트 및 영상 트윗에 숨겨진 개별 감성을 추출한다. 이후 이들은 규칙기반 통합 방법에 의해 날짜별로 통합되고, 마지막으로 개인의 감성흐름을 보다 직관적으로 관측할 수 있도록 감성흐름그래프로 시각화한다. 제안된 방법의 효용성을 평가하기 위해 두 단계의 실험이 수행되었다. 먼저 4만여 개의 트윗으로부터 제안된 방법의 정확도 평가 실험이 수행되고, 최신 트윗 분석 기술과 비교 분석되었다. 두 번째 실험에서는 40명의 우울증을 가진 사용자와 일반사용자를 구분할 수 있는지에 대한 실험이 수행된 결과, 제안된 기술이 실제 사용자의 감성흐름을 모니터하는데 효율적임을 증명하였다.

유도선수의 성별, 체급 및 연령에 따른 신체적 기능과 심리적 기능의 비교 (The Compare Physical and Psychological Functioning by Sex, Weight and Age in Judo Athletes)

  • 김혜영;정은정;이병희
    • 한국콘텐츠학회논문지
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    • 제20권3호
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    • pp.678-686
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    • 2020
  • 본 연구는 유도선수의 성별, 체급 및 연령에 따른 신체적 기능과 심리적 기능을 비교하기 위해 시행되었다. 연구의 대상자는 고등학생, 대학생, 실업팀 선수 124명이 참가하였으며, 신체적 검사로 무릎기능 검사지, 발목기능 검사지, 허리 검사지를 자기 기술하여 신체적 검사를 측정하고, 심리적 검사로 기분상태 질문지, 운동선수 자기관리행동 질문지, 운동 대처기술 검사지를 측정하였다. 신체적, 심리적 기능의 성별, 체급별, 연령별 기능을 비교한 결과, 성별에 따른 신체적 검사의 결과에서는 무릎과 허리에서 남녀의 차이가 있었고, 심리적 검사에서는 기분 상태 중 활력과 자기관리행동, 스포츠 대처기술에는 차이가 있었다. 체급별 신체적 검사의 결과, 무릎의 통증과 스포츠 항목에서 체급별 차이가 있었고, 심리적 검사의 결과 기분상태는 활력을 제외한 모든 항목에서 체급별 차이가 있었다. 연령별 신체적 검사는 무릎, 발목, 허리에서 연령별 차이가 있었고, 심리적 검사의 결과, 기분상태검사 중 긴장과 활력을 제외한 모든 항목에서 차이가 있었으며, 자기관리행동 중 몸관리 문항에서만 연령별 유의한 차이가 있었다. 본 연구 결과는 향후 유도선수의 성별, 체급 및 연령에 따른 스포츠 상해 관련 훈련 프로그램 및 의학 기술 개발 관련 기초자료로 활용될 수 있을 것으로 예상한다.

산모의 모유수유 적응과 모유 내 면역물질에 영향을 미치는 심리사회적 요인 (Maternal Psychosocial Factors that Affect Breastfeeding Adaptation and Immune Substances in Human Milk)

  • 김은숙;정미조;김수;신현아;이향규;신가영;한지희
    • 여성건강간호학회지
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    • 제20권1호
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    • pp.14-28
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    • 2014
  • Purpose: This study was to identify relationships of maternal psychosocial factors including mother's mood state, childcare stress, social support and sleep satisfaction with breastfeeding adaptation and immune substances in breast milk, especially secretory immunoglobulin A (sIgA) and transforming growth factor-beta 2 (TGF-${\beta}2$). Methods: Data were collected from 84 mothers who delivered full-term infants by natural childbirth. Structured questionnaires and breast milk were collected at 2~4 days and 6 weeks postpartum. Data were analyzed using descriptive statistics, Pearson's correlation, multiple linear regression, and generalized estimating equation (GEE). Results: Scores for the breastfeeding adaptation scale were significantly related with child care stress, mood state and social support. Mother's anger was positively correlated with the level of sIgA in colostrum (p<.01). Immune substances of breastmilk was significantly influenced by time for milk collection (p<.001) and the type of breastfeeding (sIgA, p<.001, TGF-${\beta}2$, p=.003). Regression analysis showed that breastfeeding adaptation could be explained 59.1% by the type of breastfeeding, childcare stress, the Profile of Mood States, emotional support and sleep quality (F=16.67, p<.001). Conclusion: The findings from this study provide important concepts of breastfeeding adaptation program and explanation of psychosocial factors by immune substances in breast milk. Future research, specially, bio-maker research on breast milk should focus on the ways to improve breastfeeding adaptation.