• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.257-274
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• 2015

The purpose of the current study was to validate Fetzer Institute & National Institute on Aging Working Group[NIA](1999)'s Brief-Multidimensional Measure of Religiousness/Spirituality Scale (BMMRS) in Korean adults. The Korean version of BMMRS, Spiritual Well-Being Scale(SWS), Korean Sprituality Scale(KSS), Penn State Worry Questionnaire(PSWQ), and Intolerance of uncertainty Scale(IUS) were administered to the 286 students and community samples. A principle axis factoring analysis with direct oblimin rotation and Kaiser normalization identified a six-factor solution accounting for 66.24% of the variance in scores, labeled as: positive spiritual experience, negative spiritual experience, forgiveness, religious practices, negative congregational support, and positive congregational support. Confirmatory factor analysis results showed that 6 factor model of BMMRS have a good fitness. Also, the internal consistency(.64~.97) and the test-retest reliablity was adequate.(.72~.88) Korean version of BMMRS has adequate psychometric characteristics so it can be used to verify the effects of various compassion-related psychotherapeutic approaches.

• Smart Structures and Systems
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• v.17 no.6
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• pp.957-980
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• 2016

Structural damage detection (SDD) is a challenging task in the field of structural health monitoring (SHM). As an exploring attempt to the SDD problem, a hybrid self-adaptive Firefly-Nelder-Mead (SA-FNM) algorithm is proposed for the SDD problem in this study. First of all, the basic principle of firefly algorithm (FA) is introduced. The Nelder-Mead (NM) algorithm is incorporated into FA for improving the local searching ability. A new strategy for exchanging the information in the firefly group is introduced into the SA-FNM for reducing the computation cost. A random walk strategy for the best firefly and a self-adaptive control strategy of three key parameters, such as light absorption, randomization parameter and critical distance, are proposed for preferably balancing the exploitation and exploration ability of the SA-FNM. The computing performance of the SA-FNM is evaluated and compared with the basic FA by three benchmark functions. Secondly, the SDD problem is mathematically converted into a constrained optimization problem, which is then hopefully solved by the SA-FNM algorithm. A multi-step method is proposed for finding the minimum fitness with a big probability. In order to assess the accuracy and the feasibility of the proposed method, a two-storey rigid frame structure without considering the finite element model (FEM) error and a steel beam with considering the model error are taken examples for numerical simulations. Finally, a series of experimental studies on damage detection of a steel beam with four damage patterns are performed in laboratory. The illustrated results show that the proposed method can accurately identify the structural damage. Some valuable conclusions are made and related issues are discussed as well.

• Journal of Life Science
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• v.27 no.9
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• pp.1047-1051
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• 2017

Due to aging, the physical fitness of middle-aged women decreases after menopause. This results in increased body fat and reduced lean body mass, both of which can lead to obesity. This phenomenon is accompanied by changes in hormone secretion in the body. The purpose of this study was to analyze the effects of circuit training on aging-related hormones in obese middle-aged women. The subjects were 20 obese middle-aged women. The subjects were divided into two groups: a circuit training group (n=10) and nonexercise control group (n=10). Growth hormone (GH), insulin-like growth factor-1 (IGF-1), estrogen, and DHEA-S were measured before and after the circuit training program. The circuit training group performed circuit training for 12 weeks, three times per week. Exercise intensity was increased gradually from 60% to 80% of heart rate reserve every 6 weeks. In the circuit training group, at the end of the 12-week training program, the IGF-1 levels were significantly increased compared to pre-exercise levels, and they were higher than those of the control group. GH levels were also significantly increased in the circuit training group, but the differences were not statistically significant. DHEA-S was significantly increased in the circuit training group, but the difference was not statistically significant. The results showed that circuit training improved aging-related hormones levels in obese middle-aged women.

• Korean Journal of Health Education and Promotion
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• v.2 no.1
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• pp.31-61
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• 2000

Introduction. Despite the fact that half of premature deaths are caused by unhealthy lifestyles such as smoking tobacco, sedentary lifestyle, alcohol and drug abuse and poor nutrition, there are no theoretical models which accurately explain these health promotion related behaviors. This study tests a new model of health behavior called the Model of Health Promotion Behavior. This model draws on elements and frameworks suggested by the Health Belief Model, Social Cognitive Theory, the Theory of Planned Action and the Health Promotion Model. This model is intended as a general model of behavior but this first test of the model uses amount of exercise as the outcome behavior. Design. This study utilized a cross sectional mail-out, mail-back survey design to determine the elements within the model that best explained intentions to exercise and those that best explained amount of exercise. A follow-up questionnaire was mailed to all respondents to the first questionnaire about 10 months after the initial survey. A pretest was conducted to refine the questionnaire and a pilot study to test the protocols and assumptions used to calculate the required sample size. Sample. The sample was drawn from 2000 eligible participants at two blue collar (utility company and part of a hospital) and two white collar (bank and pharmaceutical) companies located in Southeastern Michigan. Both white collar site had employee fitness centers and all four sites offered health promotion programs. In the first survey, 982 responses were received (49.1％) after two mailings to non-respondents and one additional mailing to secure answers to missing data, with 845 usable cases for the analyzing current intentions and 918 usable cases for the explaining of amount of current exercise analysis. In the follow-up survey, questionnaires were mailed to the 982 employees who responded to the initial survey. After one follow-up mailing to non-respondents, and one mailing to secure answers to missing data, 697 (71.0％) responses were received, with 627 (63.8％) usable cases to predict intentions and 673 (68.5％) usable cases to predict amount of exercise. Measures. The questionnaire in the initial survey had 15 scales and 134 items; these scales measured each of the variables in the model. Thirteen of the scales were drawn from the literature, all had Cronbach's alpha scores above .74 and all but three had scores above .80. The questionnaire in the second mailing had only 10 items, and measured only outcome variables. Analysis. The analysis included calculation of scale scores, Cronbach's alpha, zero order correlations, and factor analysis, ordinary least square analysis, hierarchical tests of interaction terms and path analysis, and comparisons of results based on a random split of the data and splits based on gender and employer site. The power of the regression analysis was .99 at the .01 significance level for the model as a whole. Results. Self efficacy and Non-Health Benefits emerged as the most powerful predictors of Intentions to exercise, together explaining approximately 19％ of the variance in future Intentions. Intentions, and the interaction of Intentions with Barriers, with Support of Friends, and with Self Efficacy were the most consistent predictors of amount of future exercise, together explaining 38％ of the variance. With the inclusion of Prior Exercise History the model explained 52％ of the variance in amount of exercise 10 months later. There were very few differences in the variables that emerged as important predictors of intentions or exercise in the different employer sites or between males and females. Discussion. This new model is viable in predicting intentions to exercise and amount of exercise, both in absolute terms and when compared to existing models.

• The Korean Journal of Community Living Science
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• v.27 no.2
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• pp.245-263
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• 2016

This study was conducted to investigate the thermoregulatory behavior of young males in terms of self-identified thermal tolerance. We recruited 436 male students from Seoul ($24.0{\pm}4.6yr$ in age, $175.3{\pm}5.5cm$ in height, $70.1{\pm}10.6kg$ in body mass, and $23.0{\pm}2.7$ in BMI) in accordance with four types of self-identified thermal tolerance: 1) tolerable of both cold and heat, BCH (N=15); 2) heat tolerable only, HTO (N=118); 3) cold tolerable only, CTO (N=162); and 4) neither cold nor heat tolerable, NCH (N=141). The questionnaire consisted of 55 questions regarding preference to cold or heat environment, seasonal thermoregulatory behaviors including clothing habits, seasonal sleeping environments, health care/physical fitness, and anthropometric items. The results showed that: 1) BCH preferred less auxiliary heating devices, gloves/hats, or thermal underwear in winter and had very few experiences with cold/heat injuries or catching a cold, whereas NCH showed the opposite behavior and experiences as BCH; 2) thermoregulatory behaviors were not symmetrical between summer and winter. Most male students preferred cold beverage/foods to using cooling devices to lower body temperature in summer, whereas auxiliary heating devices were preferred to warm beverage/foods to maintain body temperature in winter; 3) thermoregulatory behaviors of NCH had more items in common with HTO than CTO, while the behaviors of BCH were more closely related to CTO than the behaviors of BCH were more closely related to CTO than HTO. Overall, we confirmed that thermoregulatory behaviors were apparently classified by self-identified thermal tolerance, and such behaviors could be adjusted by improving cold or heat tolerance.

• Journal of The Korean Society of Integrative Medicine
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• v.8 no.1
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• pp.159-168
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• 2020

Purpose : To provide data on exercise prescription for obesity management and prevention of cardiovascular disease in girl's high school and to prepare basic data for more effective exercise program for lifestyle improvement and prevention of lifestyle-related diseases. This study examines the effects on brain nerve growth factor and inflammatory factors, and the relationship between obesity factor and brain neuron cell production factor and inflammatory factor changes by complex exercise. Methods : The subjects of the study were obese students with a body fat percentage of 30 % or higher after obtaining body fat percentage of high school girls in C-city. Among them, 20 students who wanted to participate in the program of this study and did not participate in special exercise and diet therapy within the last 6 months were radio-sampled into groups of exercise group and control group, but attendance rate was low and The final exercise group (9) and control group (9) were measured, except for one student who did not respond. Results : Analysis of the range of variation in body composition, BMI, lean body mass, and the interaction between the groups showed significant differences (p<.05). TC, TG, HDL-C, and LDL-C as variables of blood lipids, TC and TG were not significantly different and TG was significantly different (p<.05) in interactions. HDL-C showed a significant difference (p<.01) in interactions, an increase in exercise group, and a significant decrease in control group (p<.05). There was a significant difference (p<.05) in BDNF interaction, an increase in the exercise group and a decrease in the control group, but no significant difference. NGF tended to increase in both exercise and control groups. IL-6 had a significant difference in timing (p<.05) and significantly decreased (p<.01) in the exercise group, and TNF-α interacted with timing (p<.05), and a significant increase in the control group. Conclusion : This study confirmed 12-week compound exercise program was effective in increasing the expression of basal fitness or CNS factor, but not enough to actually improve brain function. Fat mass and obesity are also affecting vascular inflammatory factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.121-128
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• 2019

The purpose of this study was to investigate the effects of exercise program intervention in Korea for the control of blood sugar levels in elderly women patients undergoing diabetes mellitus typeII and to investigate the effects of exercise program intervention. Research methods were searched through RISS, KISS, KoreaMed, and KMbase as domestic databases and limited to domestic papers published from 2010 to May 2017. Diabetes, female diabetes, and diabetes mellitus typeII were used as the search terms related to the patient group. Programs related to intervention, intervention, exercise, blood glucose, glucose insufficiency, glucose control, fasting glucose and HbA1c were used. A total of 12 papers were provided according to the intervention method. The mediation period was 12 weeks(50%), 3 times per week(58.3%), and 50 to 69 minutes(83.4%) was the most. The combined aerobic and anaerobic exercise was found to be an effective exercise method to control not only blood glucose level but also HbA1c. Individualized exercise program intervention should be provided considering the physical fitness level and health status of elderly patients undergoing diabetes mellitus typeII and should be encouraged to maintain effective blood glucose control through continuous exercise rather than one-off exercise.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4404-4415
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• 2014

This study was carried out to verify the relationship between the job satisfaction and turnover intention of nurses working in general hospitals The study included 312 nurses working in three general hospitals located in Gyeoungpook area. The data was collected by a survey using self-administered questionnaires structured from February 25 to March 16, 2013. The level of turnover intention was negatively correlated with job satisfaction and professional position, autonomy, administrative capacity, pay, task requirement. In logistic regression analysis, the adjusted odds ratio of the high risk turnover intention was increased significantly in the lower groups of job satisfaction, job autonomy, administrative capacity and pay than in the higher groups of these items. Hierarchical multiple regression analysis showed that the turnover intention correlated significantly with the education level, subjective sleep evaluation, job career, job position, monthly pay, satisfaction with work, fitness of the job, career choice motives, physical burden of work, and job satisfaction. In addition, there was a negative correlation between the job satisfaction and turnover intention in the studied nurses, which showed that the turnover intention increased with decreasing level of job satisfaction. The variations in the job related characteristics and job satisfaction have a significant influence on the turnover intention.

• Journal of Life Science
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• v.19 no.10
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• pp.1403-1409
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• 2009

The purpose of this study was to compare Obesity Age (OA) and chronological age, to calculate Obesity Age (OA), which gauges the state of obesity, and to analyze presented factors of obesity using expectant factors on middle-aged obese women. The subjects were one hundred twenty seven middle-aged obese women ($49.6\pm7.3$ yr, BMI $29.41\pm2.9$, fat $36.8\pm4.6%$) who participated in different weight loss programs three times. The body composition, physical fitness, blood pressure and blood were measured before the weight loss programs. Informed consent was obtained from all subjects before enrollment in the study. The regression equation is as follows: (1) OAS (Obesity Age Score)=$0.106*X_1+0.035*X_2+0.048*X_3+0.041*X_4+0.003*X_5-0.037*X_6-10.667$ ($X_1$: BMI, $X_2$: weight, $X_3$: %fat, $X_4$: WC, $X_5$: TG, $X_6$: $VO_{2max}$), (2) OA (Obesity Age)=7.3*OAS+49.6*(-1), (3) Z (correction factor)=(CA-49.6)(1-0.03), (4) OAc (corrected Obesity Age)=1.03*CA-7.3*OAS+1.47. The comparison of corrected Obesity Age (OAc) and chronological age did not have any differences, and the average of the OAc was close to chronological age. The correlation coefficient between the OAc and chronological age was r=0.724 (p<0.05). The equation can be utilized for middle-aged obese women, because it could evaluate the obesity-related factors by including BMI, body weight, %fat, waist circumference, triglycerides and $VO_{2max}$.

• Journal of Korean Society of Transportation
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• v.33 no.4
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• pp.348-356
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• 2015

In 2026, in ten years from now, Korea is expected to enter into a super aged society. By facing this social phenomenon, analyzing the elderlies and preparing measures are needed among society. In the transportation field, the traffic accidents which are related to the elderly pedestrians have drastically increased so that R&D projects and policy supplementations are introduced. However very few base studies on which focused on the behavior, capability, impact factors analysis of for elderly pedestrians are conducted. To determine the walking capability, this study divided the walking capability into 3 three categories - general, health and exercise. It carries out the comprehensive survey targeting 52 elderlies with the average age of 72.6 years and this survey is made up of total 12 factors in the 3 three categories. This survey also is conducted with various measuring devices and methods such as interview, National Fitness Award, SPBB, Cybex and the like for. From the 12 detailed factors, the general factors such as age, physical shape and so forth have little impact on the walking speed. However the factors that have the greatest impact on the walking speed are extensor muscle on lower limbs in the health factors and balance, coordination, and SPPB in the exercise factors. With these results, this study develops the independent walking model which can measure the walking capability of the elderly people. The developed model is expected to be utilized as the base study for elderly's walking patterns in the transportation field by examining the walking capability of the older people.