• Journal of Creative Information Culture
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• v.7 no.4
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• pp.235-242
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• 2021

Recently, many human activity recognition(HAR) researches using smartphone sensor data have been studied. HAR can be utilized in various fields, such as life pattern analysis, exercise measurement, and dangerous situation detection. However researches have been focused on recognition of basic human behaviors or efficient battery use. In this paper, exercising activities performed indoors and outdoors were defined and recognized. Data collection and pre-processing is performed to recognize the defined activities by SVM, random forest and gradient boosting model. In addition, the recognition result is determined based on voting class approach for accuracy and stable performance. As a result, the proposed activities were recognized with high accuracy and in particular, similar types of indoor and outdoor exercising activities were correctly classified.

• Nutrition Research and Practice
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• v.17 no.1
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• pp.73-90
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• 2023

BACKGROUND/OBJECTIVES: Meat eaters face conflicts over meat consumption due to recent increasing demands for reduced-meat diets to promote human and environmental health. Attitudes toward consuming meat have been shown to be culture-specific. Thus, this study was performed to examine cultural differences in attitudes, beliefs, and patterns of meat consumption among meat eaters in a group homogeneous in terms of age and sex but with diverse ethnicities. SUBJECTS/METHODS: In this cross-sectional study conducted in New York City in 2014, 520 female meat eaters (Whites = 25%; Blacks = 20%; East Asians = 35%; Hispanics = 20%) aged 20-29 completed a questionnaire consisting of a series of questions on meat consumption behaviors, which addressed amounts of consumption, cooking methods, past and future changes in meat consumption, and attitudes and beliefs regarding relationships between health and meat consumption. Logistic and multiple regression analyses were used to assess the effects of variables on meat consumption. RESULTS: Blacks had the highest annual total meat consumption (64.2 kg), followed by East Asians (53.6 kg), Whites (46.9 kg), and Hispanics (35.8 kg). Blacks ate significantly more chicken than the other ethnic groups (P < 0.001), and East Asians ate significantly more pork and processed meat (P < 0.001). Regardless of ethnicity, grilling/roasting/broiling were the preferred cooking methods, and vegetables were most consumed as a side dish. More than half of the participants expressed an intention to decrease future meat consumption. East Asians more strongly perceived meat as a festive food (P < 0.001) and were less guilty about the slaughtering animals (P = 0.11) than other groups. No differences were found between the ethnic groups regarding negative attitudes to meat consumption. CONCLUSIONS: The results show that ethnicities differ in terms of attitudes, beliefs, and patterns of meat consumption. Irrespective of ethnicity, the meat-eating participants almost unanimously demonstrated a willingness to reduce future meat consumption. It is hoped these findings aid the formulation of culturally-tailored interventions that effectively reduce meat consumption.

• Journal of the Korean Society of Food Culture
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• v.24 no.4
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• pp.351-358
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• 2009

The aim of this study was to compare the dietary patterns and behaviors of female university students according to their type of residence. The subjects consisted of 369 female students from the Gyeongju area. This cross-sectional survey was conducted using a self-administered questionnaire. The SPSS 14.0 statistical package was used for the data analysis. The results are as follows: the height and weight means were 162.7${\pm}$4.6 cm and 53.9${\pm}$6.7 kg respectively. For BMI, 44.2% of the subjects were with in the normal (18.5-23) and 49.1% were underweight and 6.2% were overweight. In terms of alcohol consumption, 78.9% of the subjects consumed alcoholic beverages, and there was no significant difference by the type of residence However, for drink proportion and the preferred type of alcoholic drink there were significant differences by the type of residence (p<0.001). Third, for smoking status and the intention of quitting smoking there were significant differences by the type of residence (p<0.000, p<0.05 respectively). Also, for exercise regularity and preference as well as food preference and taste, there were again significant differences by the type of residence (p<0.001). Finally, in terms of breakfast intake and kinds of foods eaten at breakfast significant differences were found by the type of residence (p<0.01).

• Journal of the Korean Society of Food Culture
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• v.24 no.6
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• pp.793-804
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• 2009

This study was conducted to investigate the change in the anthropometric values, biochemical index, nutritional knowledge, food habits and nutrient intakes in obese children after a weight control program. The subjects of the study were 22 obese children with an obesity index over 120%. The children that participated in this study took nutritional education for weight control along with exercise once a week. The weight control program was conducted for 10 weeks. The BMI, WHR (Waist-Hip ratio), body fat (%) significantly decreased at the end of the weight control program. Total cholesterol and LDL cholesterol were also significantly decreased. The nutritional knowledge scores and knowledge score about obesity were slightly improved. Energy intake significantly decreased from 1768 to 1421 kcal. Intake of Ca, Na, K, vitamin A, vitamin $B_6$, vitamin C and folate increased, while intakes of P, Zn, vitamin $B_1$, vitamin $B_2$, vitamin E and niacin decreased. The distribution of energy intake was significantly changed for the better. The percent fat consumed decreased from 26.5 to 19.7%. In addition, the distribution of energy intake in the meals was changed, where the percent calories consumed during lunch significantly increased from 31.4 to 40.1% and the calorie percentage consumed from snacks significantly decreased from 17.6 to 10.7%. In conclusion, the nutritional education in the weight control program, which was conducted for 10 weeks, was effective in improving the anthropometric values, biochemical index and nutrient intake although nutrition knowledge and eating behaviors only changed slightly. Thus, nutritional weight control programs for obese children should be continuously provided under the proper cooperation of a nutritional teacher at elementary schools.

• Journal of muscle and joint health
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• v.30 no.3
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• pp.242-253
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• 2023

Purpose: The purpose of this study was to identify factors associated with physical activity in older adults living alone. Methods: This is cross-sectional, correlational study used secondary data from the 2019 Community Health Survey. The participants were 19,134 older adults aged 65 years or older and living alone. Data were analyzed using descriptive statistics, the 𝜒² test, and linear regression with the SPSS/WIN 27.0 program. Results: The participants' average amount of physical activity was 1,359.32 MET-min/week; 50.7% were inactive, 38.6% were minimally active, and 10.7% were health-promoting active. Demographic factors that predicted physical activity were gender, age, education level and monthly income, whereas health behavior factors included subjective health status and high risk drinking (R²=.055, p<.001). Psychological factors were sleeping time, stress, depression and fear of falling, and social factors included social contact with neighbors or friends, and participation in social or leisure activites(R²=.070, p<.001). Conclusion: It is important to determine the level of physical activity in older adults living alone. Demographic characteristics, health behaviors, psychological factors, and social factors should be considered in the development of specific and integrated nursing interventions to increase physical activity in older adults.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.301-311
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• 2013

This study aims to analyze characteristics, health behaviors and health management level related to private health examination recipients in one general hospital. To achieve this, we analyzed 150,501 cases of private health examination data for 11 years from 2001 to 2011 for 20,696 participants in 2011 in a Dae-Jeon general hospital health examination center. The cluster analysis for classify private health examination group is used z-score standardization of K-means clustering method. The logistic regression analysis, decision tree and neural network analysis are used to periodic/non-periodic private health examination classification model. 1,000 people were selected as a customer management business group that has high probability to be non-periodic private health examination patients in new private health examination. According to results of this study, private health examination group was categorized by new, periodic and non-periodic group. New participants in private health examination were more 30~39 years old person than other age groups and more patients suspected of having renal disease. Periodic participants in private health examination were more male participants and more patients suspected of having hyperlipidemia. Non-periodic participants in private health examination were more smoking and sitting person and more patients suspected of having anemia and diabetes mellitus. As a result of decision tree, variables related to non-periodic participants in private health examination were sex, age, residence, exercise, anemia, hyperlipidemia, diabetes mellitus, obesity and liver disease. In particular, 71.4% of non-periodic participants were female, non-anemic, non-exercise, and suspicious obesity person. To operation of customized customer management business for private health examination will contribute to efficiency in health examination center.

• Korean Journal of Health Education and Promotion
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• v.18 no.3
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• pp.11-36
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• 2001

The purpose of this study is to analyze health behavior by comparing the difference between self-perceived health status and health examination results. The study subjects consist of 7,702 people aged over 20, surveyed by Health Interview survey, Health Examination survey, Dietary Life survey, Health Consciousness and Behavior survey. Data used in the study are drawn from raw data from a 1998 National Health and Nutrition survey. General characteristics variables are sex, age, education level, residential area, marital status, occupation, and living standard while dichotomous variables, ‘not healthy’ and ‘healthy’ are used to measure self-perceived health status. Variables for health examination results are high blood pressure, high cholesterol, diabetes, liver diseases, liver inflammation, kidney diseases, normal weight, regular diet, optimum sleeping time(7-8 hours), regular health examination and health behavior practice group. Major findings of the study are as follows: 1) Analysis of self-perceived health status and health behavior by disease: Variables significantly correlated with high self-perceived health status have strong associations with high health behavior practice, which supports the hypothesis that as one has high self-perceived health status, one is more likely to practice health promoting behavior. The results of analysis of health behavior differences by dividing subjects into two categories, ‘cases of illness’ and ‘cases of no illness’ indicate that drinking, sleeping time, health examination are significant variables (p〈0.001, 0.05) whereas smoking, weight control, regular exercise, regular diet are not significant. 2) Analysis of disparity patterns between self-perceived health status and health examination: The hypothesis that health behaviors would be different according to the disparity pattern between self-perceived health status and health examination is supported as a result of χ2 test. Among Type I : Self-perceived health status is high and actual health status is good (no disease) Type II: Self-perceived health status is high and actual health status is poor(have disease) Type III: Self-perceived health status is low and actual health status is good(no disease) Type IN: Self-perceived health status is low and actual health status is poor(have disease) Type I and Type IV show no disparity, Type I shows the highest health promoting behavior whereas Type IV shows the lowest health promoting behavior. Type II, and III, compared to Type I, practise lower health promoting behavior. Multi-logistics regression analysis was conducted to find out the degree of impact on health behavior. Independent variables are general characteristics, self-perceived health status and health examination result and presence of illness, while the dependent variable is health promoting behavior. The analysis of the impact of self-perceived health status on the health promoting behavior shows that smoking, drinking, weight control, regular exercise, health examination practice, and/or regular diet are significantly correlated to self-perceived health status. High self-perceived health status is inversely related to high health promoting behavior. This finding supports the hypothesis that the higher one perceives one's health, the more likely one is to practice health promoting behavior. On the contrary, the presence of illness has little impact on health promoting behavior. 3) Multiple logistics analysis on how disparity patterns between self-perceived health status and health examination affect health behavior: The results of multiple logistics analysis made on health behavior variables compared to the standard variable are as follows: When analyzed on the standard of Type I, smoking is a significant risk factor for the Type IV. In case of drinking, all the patterns show a high probability of relative risk ratio. With regard to weight control, it is a risk factor for Type II while all the patterns show high probability of not practising when analyzed on the standard of type IV. Type III and IV show high probability of not doing regular exercise while Type IV, shows a high probability of not taking appropriate sleeping time. When analyzed on the standard of type IV, all the patterns show a high probability of not taking health examinations. Type III and IV show a high probability of not having regular meals. As for overall health promoting behavior, Type III and IV show a high relative risk ratio. These two groups have low self-perceived health status. It implies that self-perceived health status has significant impact on health promoting behavior. This is also supported by the fact that Type I with high self-perceived health status and no illness shows a high practice rate of health promoting behavior. Types II and III the groups with high disparity between self-perceived health status and health examination results, show a low practice rate of health promoting behavior when compared to Type I. Type IV, that is the group with low self-perceived health status and actual illness, shows the lowest practice of health promoting behavior. It is highly probable that this type proves to be the poorest health group.

• Journal of Nutrition and Health
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• v.41 no.7
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• pp.621-633
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• 2008

Diabetes mellitus (DM) is a well-established independent risk factor for cerebral infarction (CI). Additionally, the DM as well as CI are influenced significantly by health-related behaviors and diets. The aim of this study was to compare the food habits, nutrient intakes, and dietary patterns and quality in DM patients with CI (DM-CI) and without CI. This study was accomplished with 68 subjects (DM-CI group = 28, DM group = 40). Health-related behaviors, food habits, nutrient intakes and dietary quality were investigated. As a result, the mean ages and durations of diabetes in DM-CI and DM groups were $65.6{\pm}9.2$, $10.9{\pm}8.5$ and $69.2{\pm}3.0$, $9.7{\pm}8.4$ years, respectively. The health-related behaviors such as, smoking, alcohol drinking, and regular exercising in both groups were significantly different (p < 0.05) showing the number of subjects who were smoking and drinking alcohol was significantly higher in DM-CI group and the opposit result was seen for exercise. In male subjects, the intake of carbohydrate and sodium of DM-CI group were significantly higher than those of DM group (p < 0.05). In female subjects, the intake of calorie, carbohydrate, fat, sodium, and cholesterol were significantly higher in the DM-CI group (p < 0.05). Daily intake of vitamin $B_1$, vitamin $B_2$, folate, vitamin C, and calcium were significantly higher in DM group (p < 0.05). In the comparison with the dietary reference intake for Koreans (KDRI), vitamin $B_1$, vitamin $B_2$, folate, and calcium intakes were lower in DM-CI group whereas calcium and zinc intakes were in DM group. Moreover, index of nutritional quality (INQ) of vitamin $B_1$, vitamin $B_2$, vitamin C, folate, and calcium were lower significantly in DM-CI group (p < 0.05). Dietary quality including dietary diversity score (DDS), GMVDF (grain, meat, vegetable, dairy, fruit), and dietary quality index (DQI) was significantly lower in DM-CI group (p < 0.05). According to the results, diabetic mellitus patients accompanied by cerebral infarction had poorer eating patterns and dietary quality in accordance with poorer health-related behaviors compared with the DM patients without CI.

• Journal of Korean Home Economics Education Association
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• v.30 no.4
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• pp.141-164
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• 2018

The purpose of this study was to investigate the stress perception, dietary habits, lifestyle and snack intake behaviors of students to help dietary education of high school students in Jeonnam area. The data were collected from high school students in Jeonnam area and 503 questionnaires were used for analysis. The main results of this study are as follows. First, the mean scores of high school students' perception of stress were 2.92 points for male students and 3.07 points for female students, and female students were statistically significantly higher than male students(p<.01). Stress perceptions showed significant differences in school stress(p<.001) and family stress(p<.05) according to gender, and female students gained more stressed than male students. Second, the dietary habits and lifestyle characteristics of high school students by gender showed significant difference between male students and female students at the one meal time(p<.001), the amount of meal(p<.05), the tendency of eating habits(p<.001), the salty taste of food(p<.05), the exercise frequency per week(p<.001) and the exercise time per day(p<.001), respectively. One meal time was shorter for male students than for female students, and the amount of meals was more suitable amount for female students than male students. Also, male students ate more regularly than female students and female students preferred more stimulating foods than male students. Male students ate slightly bland salty taste, and female students ate standard salty taste. The exercise frequency per week and the exercise time per day were more in male students than in female students. Third, the snack intake characteristics of high school students by gender showed significantly different between male students and female students at the cost of snack per day(p<.01), the time to eat snacks(p<.01) and the favorite snacks(p<.001), respectively. The cost of snack per day was higher for female students than for male students in case of less than 4,000 won. The time for eating snack showed that 'Irregularly' was high for male students and 'In the evening after lunch' was high for female students. The favorite snacks were cookies, candies and chocolates for male and female students. Forth, the dietary habits and lifestyle characteristics of high school students by stress level showed significantly different at the frequency of daily meals(p<.05), the tendency of eating habits(p<.01) and the salty taste of food(p<.05), respectively. The frequency of daily meals was more than four times in case of the 'High stress' and 'Low stress' groups. The tendency of eating habit was low in regular meal rate in 'High stress' group. Fifth, the snack intake characteristics of high school students by stress level showed significantly different in the frequency of snacks per day(p<.05) and the favorite taste of snacks(p<.05). In case of the frequency of daily snack intake, 'More than 4 times' was highest in 'High stress' group and 'Low stress' group. The favorite taste of snacks showed that the spicy taste was highest in the 'High stress' group and the 'Low stress' group.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.12
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• pp.1560-1570
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• 2007

The purpose of this study was to investigate the differences according to lifestyle in anthropometric measurement, dietary attitude, health-related behaviors and nutrient intake among the college students. The subjects were 994 nation-wide college students (male: 385, female: 609) and divided into 7 clusters (PEAO: passive economy/appearance-oriented type, NCPR: non-consumption/pursuit of relationship type, PTA: pursuit of traditional actuality type, PAT: pursuit of active health type, UO: utility-oriented type, POF: pursuit of open fashion type, PFR: pursuit of family relations type). A cross-sectional survey was conducted using a self administered questionnaire, and the data were collected via Internet or by mail. The nutrient intake data collected from food record were analyzed by the Computer Aided Nutritional Analysis Program. Data were analyzed by a SPSS 12.0 program. Average age of male and female college students were 23.7 years and 21.6 years, respectively. Most of the college students had poor eating habits. In particular, about 60% of the PEAO group has irregularity in meal time. The students in PAH and POF groups showed significantly higher consumption frequency of fruits, meat products and foods cooked with oil compared to the other groups. As for exercise, drinking and smoking, there were significant differences between PAH and the other groups. Asked for the reason for body weight control, 16.2% of NCPR group answered "for health", but 24.8% of PEAO group and 26.3% of POF group answered "for appearance". Calorie, vitamin A, vitamin $B_2$, calcium and iron intakes of all the groups were lower than the Korean DRIs. Female students in PTA group showed significantly lower vitamin $B_1$ and niacin intakes compared to the PFR group. Therefore, these results provide nation-wide information on health-related behaviors and nutrient intake according to lifestyles among Korean college students.