• Title/Summary/Keyword: exercise time (ET)

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A Study on Knowledge, Self-efficacy and Quality of Life in Rheumatic Arthritis Patients (류마티스 관절염 환자의 지식, 자기효능감 및 삶의 질과의 관계 연구)

  • Park, Hye-Sook;Kim, In-Sook
    • Journal of agricultural medicine and community health
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    • v.25 no.2
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    • pp.275-292
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    • 2000
  • The purpose of this study was to analyze the relationship between knowledge, self-efficacy and quality of life of patients suffering from rheumatic arthritis. The data were collected from 100 rheumatic arthritis patients 1 university hospital, K rheumatic clinic in kwang-ju city for 20 days from March 2 to March 22, 1999, by means of questionnaires. The instruments used in this study were the knowledge scale developed by Kim, the self-efficacy scale developed by Long et al and the quality of life scale developed by Rho. The data were analyzed by t-test, ANOVA, Pearson's Correlation Coefficient, and Stepwise Multiple Regression by using the SAS program. The results of this study were summarized as follows : 1. The total mean score of knowledge was 15.01(SD${\pm}$3.08), In self-efficacy, the total mean score was 1030.40(SD${\pm}$233.42), In quality of life, the total mean score was 135.19(SD${\pm}$11.07). 2. The relationship between general characteristics and knowledge were significant difference in sex(t=19.03, p=.00), occupation(F=2.34, p=.03), types of exercise (F=2.95, p=.0.3), and time of exercise(F=3.20, p.=02). 3. The relationship between general characteristics and self-efficacy were significant difference in religion(F=2.75, p=.04), in monthly salary(F=3.64, p=.01), in occupation(F=2.30, p=.03), in period of rheumatic arthritis(F=2.70, F=.03), in time of exercise(F=3.77, P=.01), and in effectiveness of exercise (F=4.56, p= .02). 4. The relationship between general characteristics and quality of life were significant difference in age(F=3.36, p=.01), monthly income(F=3.11, p=.02), types of housing(t=4.93, p=.02), arid time of exercise(F=3.03, p=.03). 5. There was not significant correlation between the subjects knowledge and quality of life. 6. There was significant correlation between the self-efficacy and quality of life(r=462, p<.011). 7. The main factor influencing on quality of life was self-efficacy(21.4%).

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A Study on State of Computer Use and VDT Subjective Symptoms among the Middle and High School Students (중.고등학생들의 컴퓨터 사용실태와 VDT 자각증상 연구)

  • Chung, Seung-Hee;Park, In-Sun
    • Journal of the Korean Society of School Health
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    • v.16 no.1
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    • pp.23-35
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    • 2003
  • This study is to provide basic data regarding prevention of VDT syndrome by surveying the computer usage and understanding the VDT subjective symptoms. Data collection was done using a structured questionnaire among 617 students in middle and high schools in J city, Chonbuk province from 1 April 2002 to 20 April 2002. Modified and adjusted study tools were used which were based on previous studies on the actual computer usage and the VDT subjective symptoms, and the self-assessment tool for VDT syndrome by Moon et al(1991). Collected data were analyzed by SPSS program. The results were as follows: It showed 97.2% of students in middle schools and 97.6% in high schools to hold personal computer, 92.2% of middle school students and 84.7% of high school students commonly used computer at home. Communication was the obvious reason to use computer in 55.8% of middle school students and 71.6% of high school students. The mean of the VDT subjective symptoms among students in high schools showed $1.09{\pm}.69$ which higher than that of $.80{\pm}.59$ among students in middle schools (t=5.666, p=.000). Musculoskeletal symptom was marked the highest in the scoring of VDT subjective symptoms among students in middle and high schools. The higher grade, The more pocket money, The less breaks or exercise taken during computer use, The more they feel harmful about using computer, The actual time of computer longer than 3 hours per use were contributed to the higher score of the VDT subjective symptoms among students. There are suggestions following this study: To establish a systematic preventative program and management regarding the current computer use among students especially in relation to the VDT subjective symptoms. To develop better educational programs for parents regarding time-limit and to create appropriate environment in computer use.

Effect of Dietary Supplementation of Terrapin or Snake Extract on Exercise Performance in Rats (용봉탕 또는 사탕(蛇湯) 보충식이가 횐쥐의 지구력 운동 수행능력에 미치는 영향)

  • Song, Tae-Chul;Han, Dae-Seok;Lee, Chang-Ho;Kim, Young-Eon;Kim, Hae-Yeong
    • Korean Journal of Food Science and Technology
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    • v.37 no.2
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    • pp.214-220
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    • 2005
  • Effect of terrapin or snake extract on forced-swimming capacity and related biochemical parameters of SD rats was evaluated. Treatment groups were fed diet supplemented with 5% terrapin extract or 1% snake extract for 4 weeks. After adaptation for 1 week, each group was divided into two subgroups: one group swam for 90 min (90-min subgroups), and the other swam until exhaustion (all-out subgroups). No significant difference was observed in swimming time until exhaustion among the groups. After swimming for 90 min, contents of fatigue factors of serum such as lactate, inorganic phosphate, creatine kinase, and ammonia were not significantly different (p < 0.05) between control and treatment groups, including all-out subgroups, except for lactate concentration. These results indicated that terrapin or snake extract had little effect on forced-swimming capacity of rats.

Thermoregulatory Responses of AM & PM with Body Fat Rate at a Hot Environment (서열환경하에서 체지방률에 따른 오전과 오후의 체온조절반응)

  • Kim, Seong-Suk;Lee, Jung-Sug;Kim, Hee-Eun
    • Fashion & Textile Research Journal
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    • v.7 no.3
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    • pp.315-320
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    • 2005
  • With regard to the fact that temperature of human body remains almost constant at $37^{\circ}C$, changes by circadian variation, this study intended to investigate the effect of circadian rhythm on physiological responses of human body according to body fat rate. Fifteen healthy adult women were recruited for this study and were measured body fat as a method of bio impedance. We organized subjects into three groups ; low body fat group(group L-less than 20% of body fat), medium body fat group(group M-20%~30% of body fat) and high body fat group(group H-more than 30% of body fat). The experiment was carried out in a climate chamber of $32^{\circ}C$, 60% RH with the repeat of 'Exercise' and 'Rest' period. Subjects participated in two experiments, one is morning experiment(called 'AM'), the other is afternoon experiment (called 'PM'). The results of this study are as follows ; As to the variation of rectal temperature, group L and M had a significant difference in the time of the day between AM and PM, but group H had almost the same rectal temperature in the two kinds of experimental time. The reason why group H had a smaller difference in the circadian rhythm of rectal temperature in this study is estimated at the Budd et al.(1991)'s results that body fat had effects on reduction in thermogenesis, radiation, mean skin temperature, and increase in insulation of the tissues. Group M had the highest mean skin temperature in the 'PM'. All the 3 groups didn't have stable values in 'AM'. But it showed more stable in 'PM' than 'AM'. Sweat rate was the highest in group H in both 'AM' and 'PM'. Group M had larger sweat rate in 'PM' than 'AM'. but in group L and H, sweat rate was almost the same in two kinds of time of the day. This result suggests that who have more or less body fat have larger difference in sweat rate between morning and afternoon than who have normal body fat.

Development of User Based Recommender System using Social Network for u-Healthcare (사회 네트워크를 이용한 사용자 기반 유헬스케어 서비스 추천 시스템 개발)

  • Kim, Hyea-Kyeong;Choi, Il-Young;Ha, Ki-Mok;Kim, Jae-Kyeong
    • Journal of Intelligence and Information Systems
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    • v.16 no.3
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    • pp.181-199
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    • 2010
  • As rapid progress of population aging and strong interest in health, the demand for new healthcare service is increasing. Until now healthcare service has provided post treatment by face-to-face manner. But according to related researches, proactive treatment is resulted to be more effective for preventing diseases. Particularly, the existing healthcare services have limitations in preventing and managing metabolic syndrome such a lifestyle disease, because the cause of metabolic syndrome is related to life habit. As the advent of ubiquitous technology, patients with the metabolic syndrome can improve life habit such as poor eating habits and physical inactivity without the constraints of time and space through u-healthcare service. Therefore, lots of researches for u-healthcare service focus on providing the personalized healthcare service for preventing and managing metabolic syndrome. For example, Kim et al.(2010) have proposed a healthcare model for providing the customized calories and rates of nutrition factors by analyzing the user's preference in foods. Lee et al.(2010) have suggested the customized diet recommendation service considering the basic information, vital signs, family history of diseases and food preferences to prevent and manage coronary heart disease. And, Kim and Han(2004) have demonstrated that the web-based nutrition counseling has effects on food intake and lipids of patients with hyperlipidemia. However, the existing researches for u-healthcare service focus on providing the predefined one-way u-healthcare service. Thus, users have a tendency to easily lose interest in improving life habit. To solve such a problem of u-healthcare service, this research suggests a u-healthcare recommender system which is based on collaborative filtering principle and social network. This research follows the principle of collaborative filtering, but preserves local networks (consisting of small group of similar neighbors) for target users to recommend context aware healthcare services. Our research is consisted of the following five steps. In the first step, user profile is created using the usage history data for improvement in life habit. And then, a set of users known as neighbors is formed by the degree of similarity between the users, which is calculated by Pearson correlation coefficient. In the second step, the target user obtains service information from his/her neighbors. In the third step, recommendation list of top-N service is generated for the target user. Making the list, we use the multi-filtering based on user's psychological context information and body mass index (BMI) information for the detailed recommendation. In the fourth step, the personal information, which is the history of the usage service, is updated when the target user uses the recommended service. In the final step, a social network is reformed to continually provide qualified recommendation. For example, the neighbors may be excluded from the social network if the target user doesn't like the recommendation list received from them. That is, this step updates each user's neighbors locally, so maintains the updated local neighbors always to give context aware recommendation in real time. The characteristics of our research as follows. First, we develop the u-healthcare recommender system for improving life habit such as poor eating habits and physical inactivity. Second, the proposed recommender system uses autonomous collaboration, which enables users to prevent dropping and not to lose user's interest in improving life habit. Third, the reformation of the social network is automated to maintain the quality of recommendation. Finally, this research has implemented a mobile prototype system using JAVA and Microsoft Access2007 to recommend the prescribed foods and exercises for chronic disease prevention, which are provided by A university medical center. This research intends to prevent diseases such as chronic illnesses and to improve user's lifestyle through providing context aware and personalized food and exercise services with the help of similar users'experience and knowledge. We expect that the user of this system can improve their life habit with the help of handheld mobile smart phone, because it uses autonomous collaboration to arouse interest in healthcare.