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dc.contributor.advisorChandhana Indhapanya, advisorth
dc.contributor.authorAreerat Sensodth
dc.date.accessioned2014-05-05T08:49:58Z
dc.date.available2014-05-05T08:49:58Z
dc.date.issued2010th
dc.identifier.urihttp://repository.nida.ac.th/handle/662723737/352th
dc.descriptionThesis (Ph.D. (Population and Development))--National Institute of Development Administration, 2010th
dc.description.abstractThis is a quantitative study of the impact of pollution found within office buildings upon the occupants of those buildings. Data were gathered by means of questionnaires completed by a case of 396 office workers. The purposes on this research were: 1) To identify the characteristics which contribute towards the probability of an individual contracting each of six symptoms. 2) To ascertain means by which the effects of those contributory characteristics may be mitigated. 3) To establish the extent of these symptoms and the probability that an office worker will suffer each of them. 4) To establish the general characteristics of the sampled population and specifically gender, age, education level, income, status, working hours per day and working days per week. Logistic regression analysis was used to establish relationships between four relating characteristics (personal characteristics, workplace characteristics, health characteristics and work environment characteristics) and the six types of symptoms (eye symptoms, nose symptoms, throat symptoms, respiratory system symptoms, nervous system symptoms and skin symptom). In order to analyze the characteristics that influenced to the six types of symptoms of Bangkok Metropolis’ populations by consider on the adjusted R square, significance and odds ratio. The researcher used the Logistic Regression Analysis via enter method and found that the irrelevant characteristics that caused to the six types of symptoms were as follow: the frequency of using the office equipments, the frequency of office cleaning, the smoker and eyesight condition problem. Later the researcher used the Logistic Regression Analysis via stepwise method and found that the causes of the six types of symptoms were as follow: the people who had the health background on asthma, migraine and dermatitis, the frequency of office cleaning, eyesight condition problems and the smoking background of population.th
dc.description.provenanceMade available in DSpace on 2014-05-05T08:49:58Z (GMT). No. of bitstreams: 1 nida-diss-b169162.pdf: 21038946 bytes, checksum: a4acc71afc7ccc2584356ab7b82f9b30 (MD5) Previous issue date: 2010th
dc.format.extentx, 139 leaves : ill. ; 30 cm.th
dc.format.mimetypeapplication/pdfth
dc.language.isoength
dc.publisherNational Institute of Development Administrationth
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.th
dc.subject.lccRA 577.5 Ar31 2010th
dc.subject.otherIndoor air pollution -- Health aspectsth
dc.subject.otherOffices -- Health aspectsth
dc.subject.otherBuildings -- Health aspectsth
dc.subject.otherSick building syndrometh
dc.titleThe impact of indoor pollution on health of population in Bangkok metropolisth
dc.typeTextth
mods.genreDissertationth
mods.physicalLocationNational Institute of Development Administration. Library and Information Centerth
thesis.degree.nameDoctor of Philosophyth
thesis.degree.levelDoctoralth
thesis.degree.disciplinePopulation and Developmentth
thesis.degree.grantorNational Institute of Development Administrationth
thesis.degree.departmentSchool of Applied Statisticsth
dc.identifier.doi10.14457/NIDA.the.2010.90


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