The impact of indoor pollution on health of population in Bangkok metropolis
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2010
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2553
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eng
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x, 139 leaves : ill. ; 30 cm.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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National Institute of Development Administration. Library and Information Center
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Areerat Sensod (2010). The impact of indoor pollution on health of population in Bangkok metropolis. Retrieved from: http://repository.nida.ac.th/handle/662723737/352.
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The impact of indoor pollution on health of population in Bangkok metropolis
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Abstract
This 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.
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Thesis (Ph.D. (Population and Development))--National Institute of Development Administration, 2010