Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/62288
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dc.contributor.authorKitti Sasivimonluken_US
dc.contributor.authorWiyada Tanvatanangulen_US
dc.contributor.authorVichai Tanvatanangulen_US
dc.date.accessioned2018-09-11T09:25:10Z-
dc.date.available2018-09-11T09:25:10Z-
dc.date.issued2005-12-01en_US
dc.identifier.issn09720502en_US
dc.identifier.other2-s2.0-84890081914en_US
dc.identifier.other10.1080/09720502.2005.10700419en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84890081914&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/62288-
dc.description.abstractThe purpose of this research is to study people's health preventive behavior in different aspects and to study the pattern of relation between health preventive behavior and personal data set. The results of this study found that most people did not smoke or drink alcohol, rode motorbike, did not exercise regularly, did not have sexual intercourse with other people except their own couple, and relaxed themselves by listening to music and watching movies. At the level of significance 0.05, the pattern of relation between people's health preventive behavior and personal data set was analyzed canonical correlation analysis. The results found that the relation between personal data set and medical check up and health interests behavior set had canonical correlation at 0.547. Regarding nonlinear canonical correlation between personal data set, smoking and drinking alcohol behaviors set, exercising behavior set and medical check up and health interests behavior set were 0.683. According to binary logistic regression analysis which corrected classification result 88.3% and the study found that the influential factors for smoking behavior consisted of sex, religion, the highest level in education, type of job and drinking alcohol behavior. Regarding categorical regression, the study found that sex was the most influential factor on drinking alcohol behavior while age and smoking behavior were ranked respectively. Besides, the highest level in education was the most influential factor on health interest while sex and age were ranked respectively. © Taru Publications.en_US
dc.subjectMathematicsen_US
dc.titleStatistical analysis of health preventive behavior of population under universal coverage health insurance project in Chiang Mai municipal area (Thailand)en_US
dc.typeJournalen_US
article.title.sourcetitleJournal of Interdisciplinary Mathematicsen_US
article.volume8en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsMaejo Universityen_US
Appears in Collections:CMUL: Journal Articles

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