Browsing by Subject "Health"
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ItemCreatinine prediction from body composition a neural network approach( 2011) Thitipong Tanprasert ; Chularat TanprasertCreatinine, a naturally-produced chemical compound in blood, has been commonly used as a reliable indicator of kidney function. Creatinine level is typically obtained from blood-test. In this paper, a technique for predicting the criticality of creatinine level in blood is presented. The proposed technique takes only body size and mass parameters obtained from advanced weighing scale and body scanner, allowing the prediction to be done more casually. The technique applies a multi-layered feed-forward neural network for developing the prediction model. The achieved overall prediction accuracy is in the vicinity of 88% where the average false negative rate and the average false positive rate are 22.15% and 8.26%, respectively.
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ItemThe relationship between self-concept, body image, and the personal health of the Assumption University female studentThis correlative study had the following four objectives; 1) to explore the self-concept and body image of the Au female students, 2) to explore the Au female students’ knowledge concerning personal health, 3) to identify health behaviors of Au female students, and 4) to study the correlation between self-concept, body image, and personal health of the Au female students. The population consisted of 1,336 female students who were pursuing a bachelor degree. The 243 participants were selected using stratified random sampling technique. Data was collected from the three questionnaires: Female Body Image Questionnaire, Self-Concept Questionnaire, and Personal Health Questionnaire. Data analysis was conducted by SPSS version 10.01. Results of data concluded that the majority of participants (75.40 %) had a slightly negative body image and only 8.60 % had a positive body image. However, the results show that only a small correlation exists between body image and health behaviors. 47.70 % of the participants posse sed positive levels of self-concept. Students with positive levels of self-concept were believed to also possess positive health behaviors. Furthermore, data analysis showed a significantly moderate correlation of 0.455 between these two variables, denoting that a direct relationship existed between self-concept and personal health. To accomplish the objective of exploring the Au female students’ general health, results showed that the majority (66.25%) held very good health practices, emphasizing that health was very important, 36.60 % stated to that they read health related literature, 41.20 % exercised regularly, and 50.60 % had very good eating habits, eating three meals daily. On the other hand, a percentage of the Au female students displayed negative health practices. 23.10 % of the participants had a bad practice of smoking almost always or often as a means to alleviate stress along with 31.60 % who either usually or always used alcohol as a means to handle stress. This study hopefully will assist in enhancing health care professionals understanding and perspective of the relationship between the human mind and body. It is noted that this connection will act as an important means in the advancement of interventions that will promote health.
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ItemText Neck Epidemic: a Growing Problem for Smart Phone Users in Thailand( 2015-12) Poonsri Vate-U-LanThis research study examined the rapid changes in computer user behavior among Thai internet users, and analyzed differences in the computer health risk between desktop users and mobile device users. The emphasis is on “Text Neck” which has become a global epidemic affecting millions of people of all ages using various computer devices. The purpose of this study was to consider the incidence and relationship between health problems, and Thai Internet users’ behavior on computer and smart devices. The main research instrument was an internet-based survey which yielded 642 responses. The research findings reflected that the text neck health problem in Thailand is growing. This survey found that the smart phone device was the most popular computer application rather than desktop computers as almost two thirds of Thais always have their smart phones with them. The research isolated other behaviors of Thai computer users that contribute to health problems as the survey found that almost two thirds of respondents never wear glasses to protect their eyes from the blue light that emanates from computer screens (64.33%). Almost one third of participants continuously worked on the computer without a break (30.84%). On occasions, 62.3 percent of users experienced pain in the neck and/or shoulder regions when working on the computer.