• Journal of Preventive Medicine and Public Health
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• v.44 no.4
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• pp.167-175
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• 2011

Objective: This study was designed to describe the trends in body mass index (BMI) during 6 years (2002-2008) and to identify associations between these trends and the amount of physical activity of South Korean career soldiers. Method: This study targeted the 40 993 (38 857 men and 2136 women) of the 58 657 career soldiers who had undergone four (2002, 2004, 2006, and 2008) biennial medical examinations conducted by the National Health Insurance Corporation; 17 664 soldiers with missing data on height, weight, and physical activity were excluded. A linear mixedregression model was used to categorize changes in BMI due to age versus those due to amount of physical activity. Results: Career soldiers experienced significant increases in BMI compared with baseline data gathered in 2002. The increases in each age group were as follows: men aged 20-29: 1.16, men aged 30-39: 0.61, men aged 40-49: 0.05, women aged 20-29: 0.35, women aged 30-39: 0.30, women aged 40 -49: 0.26, and women aged 50-59: 0.21. However, men aged 50 or older showed significant decreases (as high as 0.5) in BMI compared with baseline data obtained in 2002. They also experienced significant decreases in BMI compared with those who reported no physical activity. The differences between baseline and final BMIs were: 0.02 for men exercising 1-2 times per week, -0.07 for men exercising 3-4 times per week, -0.19 for men exercising 5-6 times per week, -0.21 for men exercising seven times per week, -0.05 for women exercising 1-2 times per week, -0.19 for women exercising 3-4 times per week, -0.30 for women exercising 5-6 times per week, and -0.30 for women exercising seven times per week. Conclusions: Obesity in South Korean career soldiers increased markedly between 2002 and 2008, and our data showed that the amount of physical activity was inversely related to increases in BMI. Policies to prevent obesity are needed to reduce this trend.

• The Journal of Korean Physical Therapy
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• v.28 no.5
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• pp.308-313
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• 2016

Purpose: This study investigated the effects of sex hormones across menstrual cycle phases on knee muscle activity during one-leg landing in non-athletic females. Methods: Twenty-six healthy females who reported normal menstrual cycles for the previous three months were tested when estrogen levels were highest (ovulation) and lowest (menstruation). Knee muscle activity was analyzed based on electromyography (EMG) data recorded during landing on a 30-cm box. Before data collection, each subject was trained in single-leg landing tasks ten times. Landing was analyzed by measuring the average of three landing tasks. EMG data were collected between the moment of ground contact and the point of knee maximum flexion. The maximum voluntary isometric contraction (MVIC) for normalization that was recorded as the EMG root-mean-square (RMS) during landing was tested, with paired t-tests used to assess differences in knee muscle activity according to menstrual cycle phases. Results: The results showed that the soleus, semitendinosus, and lateral gastrocnemius muscle activity during landing was differed significantly during ovulation compared to that during menstruation (p<0.05). No significant differences in vastus medialis activity were found between menstrual and ovulatory phases during landing (p>0.05). Conclusion: Changes in the menstrual cycle in response to sex hormones changed the activity of muscles around the knee during landing. Females utilize different muscle activity control strategies during different phases of the menstrual cycle, which may contribute to increased ACL injury risk.

• ETRI Journal
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• v.44 no.3
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• pp.426-437
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• 2022

To understand the multilateral characteristics of human behavior and physiological markers related to physical, emotional, and environmental states, extensive lifelog data collection in a real-world environment is essential. Here, we propose a data collection method using multimodal mobile sensing and present a long-term dataset from 22 subjects and 616 days of experimental sessions. The dataset contains over 10 000 hours of data, including physiological, data such as photoplethysmography, electrodermal activity, and skin temperature in addition to the multivariate behavioral data. Furthermore, it consists of 10 372 user labels with emotional states and 590 days of sleep quality data. To demonstrate feasibility, human activity recognition was applied on the sensor data using a convolutional neural network-based deep learning model with 92.78% recognition accuracy. From the activity recognition result, we extracted the daily behavior pattern and discovered five representative models by applying spectral clustering. This demonstrates that the dataset contributed toward understanding human behavior using multimodal data accumulated throughout daily lives under natural conditions.

• Journal of The Korean Society of Agricultural Engineers
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• v.65 no.5
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• pp.69-80
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• 2023

Carbon neutrality in agriculture can be derived from systematic GHG reduction policies based on quantitative environmental impact analysis of GHG-emitting activities. This study is to explore how to advance the calculation of carbon emissions from agricultural activities to the detailed spatial level to a spatial Tier 3 level (Tier 2.5 level), methodologically beyond the Tier 2 approach. To estimate the GHG emissions beyond the Tier 2.5 level by region for detailed spatial units, we constructed available activity data on carbon emission impact factors such as rice cultivation, agricultural land use, and livestock. We also built and verified detailed data on emission activities at the field level through field surveys. The GHG emissions were estimated by applying the latest national emission factors and regional emission factors according to the IPCC 2019 GL based on the field-level activity data. This study has significance that it explored ways to build activity data and calculate GHG emissions through statistical data and field surveys based on parcels, one of the smallest spatial units for regional carbon reduction strategies. It is expected that by utilizing the activity data surveyed for each field and the emission factor considering the activity characteristics, it will be possible to improve the accuracy of GHG emission calculation and quantitatively evaluate the effect of applying reduction policies.

• Journal of Korean Academy of Nursing
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• v.42 no.1
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• pp.48-55
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• 2012

Purpose: The aim of this study was to compare statistical methods to control response bias in nursing activity surveys. Methods: Data were collected at a medical unit of a general hospital. The number of nursing activities and consumed activity time were measured using self-report questionnaires. Descriptive statistics were used to identify general characteristics of the units. Average, Z-standardization, gamma regression, finite mixture model, and stochastic frontier model were adopted to estimate true activity time controlling for response bias. Results: The nursing activity time data were highly skewed and had non-normal distributions. Among the 4 different methods, only gamma regression and stochastic frontier model controlled response bias effectively and the estimated total nursing activity time did not exceeded total work time. However, in gamma regression, estimated total nursing activity time was too small to use in real clinical settings. Thus stochastic frontier model was the most appropriate method to control response bias when compared with the other methods. Conclusion: According to these results, we recommend the use of a stochastic frontier model to estimate true nursing activity time when using self-report surveys.

• Journal of Korean Academy of Nursing
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• v.13 no.1
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• pp.22-33
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• 1983

This study was done to research the relationship between State-Trait Anxiety and Sexual activity of pregnant women. The subjects for this study were 200 pregnant women from 2 hospitals located in a urban area. The data was collected through questionnaires which was developed by Spielberger, from to, 1982. The content of the questionnaire consist of following 2 categories of Anxiety and Sexual activity; (1) State Anxiety, (2) Trait Anxiety and (3) Sexual activity included sexual drive, number of sexual intercourse, and length of sexual intercourse. Analysis of data was done by use percentage, T-test, x$^2$-test, ANOVA and pearson correlation coefficiency. The findings of this study are as follows: 1. The mean score of state Anxiety and Trait Anxiety of respondents were 43.06, 44.19, therefore Trait Anxiety was higher than state Anxiety. 2. A significant state Anxiety and Trait Anxiety were not found among general characteristics with age, education level and religion 3. In the analysis of correlation among state Anxiety, Trait anxiety and Sexual activity, the Trait Anxiety was positively correlated with the State Anxiety. (r=.3877, p=.000) It was support the fact that the higher level of Trait anxiety, the greater was the State anxiety. 4. And the state anxiety was negatively correlated with number of sexual intercourse. (r=-1518, p=.016) Therefore, the higher the state anxiety, the lower sexual activity. Or the lower sexual activity, the higher the State Anxiety. 5. Also, in the analysis of factors affecting sexual activity, only the variable of age showed a significant correlation to number of sexual intercounse. That is the younger, the higher number of sexual intercounse. (r=. -. 1380, p=.026).

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.551-568
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• 2018

Purpose: This study addressed the relationship between technological innovation activity and management efficiency of Korean automobile firms. We tested the hypothesis of non-liner relationship of innovation activity in relation to management efficiency. Methods: We discussed prior literature in the firm innovation strategy and management efficiency studies to provide better understanding of relationships between technological innovation activity and management efficiency. As a result, we developed develop and tested a model (Inverted-U shaped) capturing the non-linear impact of technological innovation activity. While we used R&D expenditure and patent registration data for measuring firms' innovation activity, management efficiency was evaluated by using DEA(Data Envelopment Analysis). Results: Main findings of our empirical analysis indicated that the relationships between technological innovation activity and management efficiency was inverted U shaped. This implied that the relationship between technological innovation and management efficiency is inverted U-shaped non-linear, with management efficiency increasing up to a point, beyond which higher levels of R&D and patent registration activities led to a decrease in management efficiency. Conclusion: This study empirically assessed the inconclusive findings of previous research in the area of effects of innovation activities in relation to firm performance. The paper also provided theoretical and practical implications for firms who explore efficient strategy to promote the management performance through technological innovation activities. Future research directions with the limitation of the study was discussed.

• Research in Community and Public Health Nursing
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• v.22 no.2
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• pp.162-172
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• 2011

Purpose: This study was conducted to evaluate differences in pain, pain interference, and fatigue, according to the level of physical activity in the elderly with chronic pain. Methods: Data were collected between January and March 2011 from 116 elders with chronic pain living in community settings. The data were analyzed using the SPSS/WIN 17.0 program for descriptive statistics, $x^2$ test, t-test, ANOVA and ANCOVA. The reliability of the instruments was tested with Cronbach's ${\alpha}$ coefficient, which ranged from .91 to .93. Results: The results were as follows. The mean total physical activity was 2287.4 MET-min/week, and 41.4% of the investigated subjects were classified into the low physical activity group. After adjusting for age and sex, the moderate and high physical activity groups were significantly lower in pain (F=6.33, p=.002), pain interference (F=11.57, p<.001), and fatigue (F=3.16, p=.046) than the low physical activity group. Conclusion: Results from this study suggest that the level of physical activity can influence pain, pain interference and fatigue. Therefore, incorporating more physical activities into daily routines, inactive elderly individuals may improve their pain, pain interference and fatigue.

• Korean Journal of Adult Nursing
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• v.23 no.4
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• pp.386-396
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• 2011

Purpose: This study was conducted to examine the level of physical activities at time points of pre-illness and current treatment, and the differences in body mass index (BMI), anxiety, depression and fatigue according to their physical activity in cancer patients undergoing chemotherapy. Methods: The survey was used with 126 cancer patients undergoing daily chemotherapy at injection room, cancer clinic of C University Hospital in G city. Data were collected from June to September, 2009 using a structured questionnaire. The data were analyzed by descriptive statistics, chi-square, Fisher's exact test and t-test using SPSS/WIN15.0. Results: The significant increase in physical activity was reported from pre-illness to the time in treatment (${\chi}^2$=69.027, p<.001). The anxiety level of the group with increased physical activity was significantly lower than those who did not (t=-2.218, p =.028). There were no significant differences in BMI, depression, and fatigue according to physical activity. Conclusion: The level of physical activity was significantly associated with the anxiety level of the cancer patients undergoing chemotherapy. Cancer patients should been encouraged regular physical activity during chemotherapy treatment. And an appropriative nursing intervention should be established in order to motivate cancer patients to increase physical activity.

• Korean Journal of Health Education and Promotion
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• v.28 no.5
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• pp.51-60
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• 2011

Objectives: This article intends to describe the status of and challenges for physical activity in Korean university students. Methods: National level secondary data and related articles were reviewed including KNHANES(Korea National Health and Nutrition Examination Survey) and Online Youth Health Behavior Survey. Four tables and two figures were generated from original data and related articles. Results: The proportion of Korean university students practicing regular physical activity appear to be about half of that in American students. Gender difference in physical activity practicing rate seems to be maintained in university years. The main reason for physical inactivity was that physical activity was bothersome. The trends of physical activity practice in Korean students since middle school years needs further research. Conclusions: To increase the rate of physical activity in Korean university students, evidence-based comprehensive approaches are needed including campaign and informational approaches, behavioral and social approaches and policy and environmental approaches adapted to Korean university students.