• Journal of Physiology & Pathology in Korean Medicine
• /
• v.25 no.3
• /
• pp.551-557
• /
• 2011

The purpose of this study is to investigate the relation between brachial-ankle pulse wave velocity and the features of metabolic syndrome, and differences according to sex in patients diagnosed cerebral infarction. The study group comprised 61 patients over age 30 who were diagnosed cerebral infarction, accompanied with metabolic syndrome. The brachial-ankle pulse wave velocity, blood pressure, lipid profiles, fasting blood glucose, body mass index were measured. Also we checked past history of patients. Then we analyzed the association between brachial-ankle pulse wave velocity and the features of metabolic syndrome. Pearson correlation analysis reflected the variables affecting the brachial-ankle pulse wave velocity as follows : Age, SBP(systolic blood pressure), DBP(diastolic blood pressure), FBS(fasting blood glucose) were positively correlated. As a result of regression analysis, in patients with cerebral infarction accompanied with metabolic syndrome, the brachial-ankle pulse wave velocity is affected by age to men, SBP, FBS, DBP to women. The brachial-ankle pulse wave velocity is not affected by the components of metabolic syndrome, except blood pressure, FBS, in patients with ischemic stroke.

• Journal of Korean Academy of Nursing
• /
• v.39 no.1
• /
• pp.33-43
• /
• 2009

Purpose: This study was done to develop a pregnancy nutrition knowledge scale and to examine the relationships between pregnancy nutrition knowledge and eating habits in pregnant women. Methods: With convenient sampling, 189 pregnant women who used community health centers for their ante-natal care were recruited. Data were collected using a self administered questionnaire including items on pregnancy nutrition knowledge (18 items) developed by researcher and items on eating habits (14 items). Cronbach's alpha and exploratory factor analysis were examined to test reliability and construct validity of the scale. Pearson's correlation coefficients were used to identify the relationship between pregnancy nutrition knowledge and eating habits. Results: Cronbach's alpha of 18 items was .80. In factor analysis using principal components, 6 factors explained 65% of the total variance. The level of pregnancy nutrition knowledge was not sufficient but correlations between pregnancy nutrition knowledge and some of eating habits were significant. Specifically, pregnancy nutrition knowledge was positively correlated with good eating habits and negatively with bad eating habits. Conclusion: The pregnancy nutrition knowledge scale developed in this study is acceptable for nutrition education led by nurses. Pregnancy nutrition knowledge and eating habits are considered as major variables for ante-natal nutrition education. In future studies, explorations are needed on dietary intake and physiological indices in pregnant women, comparison of women at risk with those not at risk, and development of nutritional education programs for pregnant women.

• Journal of Korean Academy of Nursing
• /
• v.43 no.1
• /
• pp.81-90
• /
• 2013

Purpose: This study was done to test structural equation modeling of health-related quality of life (QOL) of men with obstructive sleep apnea in order to identify parameters affecting QOL and provide guidelines for interventions and strategies to improve QOL in these patients. Methods: Model construction was based on 'The conceptual model of patient outcome in health-related QOL' by Wilson and Cleary, using the variables; age, physiological factors, social support, cognitive appraisal, symptoms and QOL. Participants were 201 adult male patients recruited at a tertiary university hospital in Seoul. Data were collected via questionnaires, polysomnography, and clinical records. Results: Age and symptoms directly influenced QOL. Social support and cognitive appraisal about sleep did not have a direct influence on QOL, but indirectly affected it via symptoms. QOL was lower in patients who were younger and had more severe symptoms. Symptoms were more severe for patients with lower social support and more dysfunctional cognitive appraisal. When social support was lower, cognitive appraisal was more dysfunctional. Conclusion: These results suggest it is necessary to not only manage symptoms, but also apply interventions to increase social support and cognitive appraisal about sleep in order to increase QOL in patients with obstructive sleep apnea.

• IE interfaces
• /
• v.18 no.2
• /
• pp.158-166
• /
• 2005

Human-error and mental stress caused by psychophysiological dissonance between people and artificial environments have become a social problem. And it is a common knowledge that comfort environment reduces human-error and mental stress. Comfort sensibility is related to complex interactions between fabric, climatic, physiological and psychological variables. Currently, comfort sensibility has been evaluated by many sensory tests. However, it is difficult to evaluate comfort sensibility because a concrete concept of comfort sensibility is hard to define. In this paper, we propose a model to evaluate the comfort sensibility using Fuzzy-weighted score on an individual's subjective state for the stimulus. To represent the degree of comfort sensibility level for the stimulus, we represent comfort sensibility using 2 dimensional sensibility vector model. And we use the fuzzy-weighted score that is a fuzzy version of the weighted checklist technique computerized for evaluating the subjects. As an example, this model is applied to 1/f fluctuation sound evaluation. The results show that this model can be effectively used to the quantitative evaluation of comfort sensibility for the stimulus.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.1076-1080
• /
• 2003

$CO_2$ uptake of vegetation is one of the important variables in order to estimate photosynthetic activity, plant growth and carbon budget estimations. The objective of this research was to develop a new estimation method of $CO_2$ uptake of vegetation based on airborne hyperspectral remote sensing measurements in combination with a photosynthetic rate curve model. In this study, a compact airborne spectrographic imager (CASI) was used to obtain image over a field that had been set up to study the $CO_2$ uptake of corn on August 7, 2002. Also, a field survey was conducted concurrently with the CASI overpass. As a field survey, chlorophyll a content, photosynthetic rate curve, Leaf area, dry biomass and light condition were measured. The developed estimation method for $CO_2$ uptake consists of three major parts: a linear mixture model, an enhanced big leaf model and a photosynthetic rate curve model. The Accuracy of this scheme indicates that $CO_2$ uptake of vegetation could be estimated by using airborne hyperspectral remote sensing data in combination with a physiological model.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.34 no.4
• /
• pp.209-214
• /
• 2020

The association of cold-heat (CH) pattern and anthropometry/body composition has been suggested in that they are related to thermoregulation. We aimed to study the association of CH pattern and anthropometry/body composition. A total of 1479 individuals aged 50-80 years were included in the study, and their CH pattern were evaluated by a self-administered questionnaire. After adjustment for age and sex, the CH score were significantly correlated with weight, BMI (body mass index), body surface area, waist-hip ratio, fat free mass, body fat mass, body cell mass, intracellular water, extracellular water, and basal metabolic rate; however, the correlation coefficients were mostly low (0.15-0.24). The selected variables for predicting CH score were various according to the methods used for variable selection; however, the adjusted R-squared of the final models were all around 0.12. Thus the most parsimonious model could be the one that includes sex and BMI. In conclusion, various anthropometry and body composition indices were associated with CH pattern. Future studies are necessary to improve the performance of the prediction model.

• Journal of Biomedical Engineering Research
• /
• v.42 no.5
• /
• pp.232-240
• /
• 2021

Heterogeneity in cancer is the major obstacle for precision medicine and has become a critical issue in the field of a cancer diagnosis. Many attempts were made to disentangle the complexity by molecular classification. However, multi-dimensional information from dynamic responses of cancer poses fundamental limitations on biomolecular marker-based conventional approaches. Cell morphology, which reflects the physiological state of the cell, can be used to track the temporal behavior of cancer cells conveniently. Here, we first present a hybrid learning-based platform that extracts cell morphology in a time-dependent manner using a deep convolutional neural network to incorporate multivariate data. Feature selection from more than 200 morphological features is conducted, which filters out less significant variables to enhance interpretation. Our platform then performs unsupervised clustering to unveil dynamic behavior patterns hidden from a high-dimensional dataset. As a result, we visualize morphology state-space by two-dimensional embedding as well as representative morphology clusters and trajectories. This cell morphology profiling strategy by hybrid learning enables simplification of the heterogeneous population of cancer.

• The Korean Journal of Food & Health Convergence
• /
• v.7 no.6
• /
• pp.17-24
• /
• 2021

This study investigates the exercise-physiological changes in stages through the movement of the automatic stepper and to analyze the usefulness of the automatic stepper. For 18 male university students, out of 10 levels, 5 level and 10 level of automatic stepper exercise were performed. At each 10, 20, 30 minutes during exercise, 5 and 10 minutes after exercise stop the subjects were examined to analyze the changes in energy consumption after minutes, respiratory exchange rate, heart rate, oxygen consumption per body weight, METs, cumulative energy consumption, and lactic acid to verify the usefulness of the automatic stepper. The mean and standard deviation were calculated using the SPSS, and one-way ANOVA with repeated measure was performed to verify the difference in the mean between time periods. The LSD method was used for the post-hoc test, and the significance level was set to α = .05. There were no significant changes in both 5 and 10 level, but the cumulative energy consumption over time increased significantly. In addition, as a low-intensity exercise intensity is shown, a low increase in lactic acid indicated a safe exercise level. In future studies, in-depth studies of various variables through regular exercise programs are needed for those who need safe exercise.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.36 no.5
• /
• pp.163-168
• /
• 2022

After the outbreak of COVID-19 in China, the national health commission of the people's republic of China distributed guidelines for the diagnosis and treatment of COVID-19. Based on that, each region of China made guidelines for traditional Chinese medical treatment of COVID-19 applicable to clinical field. Under the hypothesis that each region's guideline contains regional characteristics, a comparison was made on pattern identification among each region's guidelines and central guidelines. At the beginning of the analysis of the cases, opinions on pattern identification vary from region to region, and the diversity is mainly reflected in the early stage of the disease. When the guideline is organized to a certain level due to the accumulation of clinical cases, there is a strong tendency to enumerate various types of pattern identification. It means that as a specific infectious disease progresses, it can appear in various cases due to variables. In some guidelines, disease stages were analyzed by only a limited pathological mechanism, but no regional characteristics were found here. Rather, it may mean that unique characteristics for disease can be derived.

• Journal of muscle and joint health
• /
• v.16 no.2
• /
• pp.135-144
• /
• 2009

Purpose: The purpose of this study was to develop an exercise program to prevent osteoporosis in working women and to examine its effects on bone mineral density (BMD). Method: The subjects of the study were 55 working women. The experimental group participated three times per week for twelve weeks in this exercise program. T-test and ANOVA, Pearson's correlation coefficients were used to analyze the data. Results: The BMD of the experimental group prior to participating in the exercise program was 0.9301 $(\pm08620)g/cm^2$. However, after the exercise program, the BMD increased to 0.9415 $(\pm1117)g/cm^2$ (t=-2.338, p=.026). Moreover, in relations to BMD and physiological variables, there were significant correlations between BMD and physical activity (r=.294, p=.030), as well as between BMI and physical activity (r=.267, p=.049). Conclusion: In this study, BMD in the experimental group had significantly increased after their participation, while the control group had decreased. Thus, this study showed that the exercise program developed for working women is effective in maintaining BMD and consequently preventing osteoporosis.