Multiple logistic regression modelling substantiates multifactor contributions associated with sick building syndrome in residential interiors in Mauritius.
This paper presents a mathematical model that depicts the relationship between the possibility of occurrence of common health problems and factors leading to Sick Building Syndrome symptoms in domestic interiors in Mauritius. The prevalence of upper respiratory symptoms (dry eyes, runny nose), central nervous system symptoms (headache, nervousness), and musculoskeletal symptoms (pain/stiffness in shoulders/neck) were found to be elevated when responses were statistically regressed to type of building and age of respondents. The model presented here will be useful in helping to identify and quantify the relative role of factors that contribute to Sick Building Syndrome. Thus it may be possible to evaluate the effectiveness of current building operation practices and to prioritise allocations of resources for reduction of risk associated with Indoor Environmental Air Quality.
Jowaheer
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Department of Mathematics, University of Mauritius, Reduit.
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D000328:Adult; D000367:Age Factors; D000368:Aged; D016902:Air Pollution, Indoor / Q000009:adverse effects*; D002493:Central Nervous System Diseases / Q000188:drug therapy; D005260:Female; D006304:Health Status; D006798:Housing; D006801:Humans; D008297:Male; D008436:Mauritius; D008875:Middle Aged; D008962:Models, Theoretical; D012044:Regression Analysis; D012140:Respiratory Tract Diseases / Q000209:etiology; D018570:Risk Assessment; D018877:Sick Building Syndrome / Q000209:etiology*