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20 results on '"Kongcharoen, Jinda"'

18. FACTORS AFFECTING SICK BUILDING SYNDROME AMONG HOTEL STAFF.

Author

Kongcharoen, Jinda, Onmek, Nutthajit, and Karrila, Seppo

Subjects
*SICK building syndrome, *LIKELIHOOD ratio tests, *RISK-taking behavior, *HEALTH behavior, *JUDGMENT sampling, *HOTEL employees, *LOGISTIC regression analysis
Abstract

Sick building syndrome (SBS) is commonly found among office staff. There have been few studies on SBS among hotel staff. The main objective of this research was to establish a risk factor model related to the occurrence of SBS among hotel staff. A questionnaire on SBS was used to survey 246 hotel staff based on purposive sampling. Significant factors were detected using chi- square and likelihood ratio tests while binary logistic regression was used to determine the significant difference among personal information, workplace characteristics, and environmental and psychosocial factors in relation to the occurrence of SBS. The outcome of the evaluation indicates the prevalence of SBS as about 7%. The statistical factors related to SBS were female staff (OR = 20.52, 95%CI = 2.91-144.92), smoking habits (OR = 10.67, 95%CI = 1.94-58.61), and presence of animals (OR = 8.09, 95%CI = 2.52-26.01). This study indicates that female smokers surrounded by animals had an elevated risk of SBS. This study could be useful for guiding hotel staff to avert health risk behavior. [ABSTRACT FROM AUTHOR]

Published
2019

20. The Analysis of Pattern Change in Intron Sequences.

Author

Kongcharoen, Jinda, Yan-Xia Lin, Caldwell, Rachel, Yiren Yang, and Zhang, Ren

Subjects
*INTRONS, *BERNOULLI effect (Fluid dynamics), *ARABIDOPSIS thaliana, *GENE expression, *PROTEINS
Abstract

The Generalized Bernoulli Modeling approach is used to analyze the pattern change in intron sequences of a model plant species Arabidopsis thaliana. The influence of the intron length and the number of GC on the intron sequence pattern changes is examined. Two other gene properties, the gene expression level and the protein function encoded are also assessed. Among the random sampled intron sequences, 10.71% of them have been identified to have sequence pattern change. Our study shows that the number of GC and the intron length significantly influence the intron pattern change while the gene expression level and the protein function have little effect. Our results show that for Arabidopsis thaliana, the shorter intron with more number of GC might have a higher chance to have pattern changes detected on its sequence and this piece of information could be used for checking whether the intron is functional introns. This study may be benefit to the further study on functions of intron. [ABSTRACT FROM AUTHOR]

Published
2011
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