The purpose of this study was to develop a software system for computer nutrition counseling based on food intake and level of exercise measurements. Various software programs were developed using Powerbuilder 5.0 and categorized according to their function: 1) inputting general data including age, sex, weight, height, degree of acitivity and exercise amount of individuals, 2) inputting food intake based upon a 24-hour dietary recall method, 3) calculating energy and general nutrient intake and evaluating dietary status with respect to the Korean recommended dietary allowances, 4) calculating dietary intake of fatty acids, 5) calculating PUFA : MUFA : SFA and $\omega$6 :$\omega$3 ratios, 6) reporting the results of nutrient analysis, and 7) assessing the nutritional status of individuals and practicing nutrition education. This study provides various information on the assessment of nutritional status.
Background : Several studies have suggested different arguments for the effect of stretching exercises and core muscle exercises on flexibility and balance ability. Objective : To determine the effects of stretching exercises and core muscle exercise on flexibility and balance ability. Design : Quasi experimental research Method : The study applied exercise interventions (three sessions per week for 6 weeks) on 40 subjects. The subjects were divided into stretching and core muscle exerciseing groups to identify the change of flexibility and balance ability. Sit- and- reach test results and hip hyperextension were measured for identifying changes in flexibility, and the Romberg test and Pedalo stabilizer were used for changes in balance ability. Results : Both the stretching exercise and core muscle exercise groups showed a statistically significant increase in flexibility (p<.05). However, the stretching exercise group showed a statistically significant increase in balance ability (p<.05), whereas the core muscle exercise group showed partially statistically significant differences in this par t(p>.05). In the analysis of the differences in the amount of change in flexibility, based on the types of exercise, stretching exercises showed a significant difference (p<.05), whereas a significant difference was not found in the amount of change in balance ability (p>.05). Conclusions : These findings indicate that stretching exercises are the more effective intervention for improving and maintaining flexibility, whereas there is no difference between stretching and core muscle exercises with respect to improving balance ability.
The purpose of this article is to provide a method of losing weight and early managing risky factors of geriatric diseases by having male and female obese middle school students' participate in behavioral modification and aerobic exercise, foster their own desirable behavioral habit and confidence in solving obesity and continue their living pattern all their life. In order to do this, 64, subjects over 20% obese degree obtained using the standard weight, belonging within 50% range of weight percentage per height(male:32, female:32) were grouped to 4 categories of aerobic exercise therapy, behavioral modification therapy, both therapies combinedly applied and control ones by 8 male and female students allocated to each group respectively, and they were practiced to each program for 12 weeks, and the findings between group were obtained as follows. 1. The male and female middle school students' cholesterol amount of blood fat reduced most in the combinedly performed group of aerobic exercise and behavioral modification therapy. It indicated a statistically significant difference between groups (F(3,56) =9.50, p=.000) and the measurements according to the application period of program as well (F(3,168)=554.94, p=.000). The cholesterol amount per measurement period reduced most between 8 and 12 weeks. 2. The male and female middle school students' high density fat amount increased most in the combinedly performed group of aerobic exercise therapy and behavioral therapy, its descending order of next highest rate was aerobic exercise therapy, behavioral modification therapy and control group. It indicated a statistically significant difference between the distinction of male and female sexes (F(1.56)=13.82. p=.000) and the measurements according to the application period of program (F(3,168) =55.58, p=.000). The high density fatty Quality per measurement period increased most between 8 and 12 weeks. 3. The male and female middle school students' low density fat amount reduced most in the combinedly performed group of aerobic exercise therapy and behavioral modification therapy. It indicated a statistically significant difference between groups (F(3,56)=17.35, p=.000) and the measurements according to the application period of program (F(3,168)=891.14, p=.000. The low density fat amount reduced most between 8 and 12 weeks. 4. The male and female middle school students' neutral fat amount reduced most in the combinedly performed group of aerobic exercise therapy and behavioral modification therapy. It indicated a statistically significant difference between the distinction of sexes (F(1,56)=9.54, p=.003) and groups (F(3,56) =25.57, p=.000) and the measurements according to the application period of program (F(3,168) =566.03, p=.000). The male students indicated the most reduction between 4 and 8 weeks. while the female students between 8 and 12 weeks.
Purpose An increase in the number of fitness apps across the world is a testament to the growing interest in health. As focus on medical services shifted from treatment to prevention, this type of app plays an essential role in promoting one's health and exercise management. Yet little has been known about practical effects of fitness apps in existing literature thus this study searches for factors that affect daily use of fitness apps and examine the relationship between app usage and exercise patterns. Design/methodology/approach This study surveyed people who used Cashwalk, the pedometer app for a minimum of a week to analyze reasons why they used the app. Particpants' exercise patterns were also recorded. By examining survey results of fitness app users and developing a research model based on the Customer Value Theory, this study provides real-life factors to the fitness and smart health care industry that will adopt a proactive lifestyle pattern. Findings Empirical analysis proved properties such as the complexity of fitness apps, monetary rewards, exercise monitoring and the enjoyment of using fitness apps contribute to using fitness apps on a daily basis. Furthermore, more daily use of fitness apps was shown to have a greater impact on exercise. This study also confirmed that social comparison does not affect the daily use of fitness apps and the amount of exercise, and the habitual walking was proved to directly affect the amount of exercise.
International journal of advanced smart convergence
/
제8권2호
/
pp.147-154
/
2019
In this paper, we conducted a study that utilizes deep learning to calculate appropriate physical exercise information when basic human factors such as sex, age, height, and weight of users come in. To apply deep learning, a method was applied to calculate the amount of fat needed to calculate the amount of one repetition maximum by utilizing the structure of the basic Deep Neural Network. By applying Accuracy improvement methods such as Relu, Weight initialization, and Dropout to existing deep learning structures, we have improved Accuracy to derive a lean body weight that is closer to actual results. In addition, the results were derived by applying a formula for calculating the one repetition maximum load on upper and lower body movements for use in actual physical exercise. If studies continue, such as the way they are applied in this paper, they will be able to suggest effective physical exercise options for different conditions as well as conditions for users.
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.
This study compared and studied the clothing mobility of two types of aerobic clothes - those made of currently popular stretch materials and those made of new stretch materials that were specially developed for this study. The focus of the comparison was on the range of joint movement during activity, and the physiological burden imposed on the body by the clothes. In total, 18 experiments were carried out under controlled conditions in an artificial climatic chamber with a temperature of $25{\pm}1^{\circ}C$, air humidity of $60{\pm}5^{\circ}C$ and negligible air movement. Each exercise program consisted of a 30-minute of aerobic workout and a 20-minute rest following the exercise. Measurements were taken to determine the following: physiological reactions (whole-body and local sweat rates), subjective sensations(of temperature, humidity, comfort, tightness, and clothing wetness), joint angle(measured with a goniometer), and so on. The results of the study us as follows: Material B excels in clothing mobility. Material C excels in sweat absorbency and drying speed. Material A was found to be the hottest material, while material C was found to be slightly hot through the analysis of the change in pre- and post-exercise bodyweight(= amount of sweat). Regarding the amount of evaporated sweat, material A>material C>material B. Material B produced the smallest amount of evaporated sweat. The wider the range of joint movement, the smaller the amount of sweat and the lower the average skin temperature.
Background In prosthesis-based breast reconstruction patients, the drain tends to be kept in place longer than in patients who undergo only mastectomy. Postoperative arm exercise also increases the drainage volume. However, to preserve shoulder function, early exercise is recommended. In this study, we investigated the effect of early exercise on the total drainage volume and drain duration in these patients. Methods We designed a prospective randomized trial involving 56 patients who underwent immediate breast reconstruction following mastectomy using tissue expanders. In each group, the patients were randomized either to perform early arm exercises using specific shoulder movement guidelines 2 days after surgery or to restrict arm movement above the shoulder height until drain removal. The drain duration and the total amount of drainage were the primary endpoints. Results There were no significant differences in age, height, weight, body mass index, or mastectomy specimen weight between the two groups. The total amount of drainage was 1,497 mL in the early exercise group and 1,336 mL in the exercise restriction group. The duration until complete removal of the drains was 19.71 days in the early exercise group and 17.11 days in the exercise restriction group. Conclusions Exercise restriction after breast reconstruction did not lead to a significant difference in the drainage volume or the average time until drain removal. Thus, early exercise is recommended for improved shoulder mobility postoperatively. More long-term studies are needed to determine the effect of early exercise on shoulder mobility in prosthesis-based breast reconstruction patients.
This paper proposes the architecture and major functionalities of IT converged smart outdoor exercise equipment and health cashback system. It provides basic information such as date, time, weather information, and display the amount of exercise, thermal images for monitoring the change of user's body temperature and health cashback point. The amount of exercise is transferred to a health cashback server via mobile communication network and the server provides the exercise history and health cashback point. Also, as additional public services, a fine dust alarm light and an emergency alarm function are embedded. The proposed IT converged smart outdoor exercise equipment will be a reference model for studying and commercializing the next generation product.
Recently, IoT(Internet of Things) technology is being actively used to develop smart products and services. This paper proposes the architecture and major functionalities of IoT outdoor exercise equipment using ARTIK IoT Platform. It provides an exerciser with date&time, weather information, the amount of exercise. The amount of exercise and a user's ID are sent to a service server by LTE-M modem and the server provides the exercise history by web or smartphone app. As additional functionalities, a fine dust alarm light and an emergency alarm button are embedded. The proposed system has been exhibited on CHINA SPORT SHOW 2018 held on Shanghai, China.
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