ABSTRACT
@#Workplaces in tropical countries are associated with increasing temperature and humidity, thus, the workers are susceptible to heat hazards. The inability for self-cooling properly toward exposure to head hazards can lead to severe dehydration and even death. To date, there are several indices and models to assess heat stress, such as WBGT, ISO 7933, discomfort index, HIS, PhSI, etc. However, their accuracy and suitability for tropical regions are still under investigation since they are mostly developed for subtropical regions. This review assessed the indices to estimate heat exposure in tropical regions based on the various online database. Among those indices, WBGT is the most suitable despite its inability to estimate human thermal response in tropical regions with several adjustments. Based on this review, it showed that there is a need for improvement of current indexes to be used in tropical regions since they are more suitable for the subtropical countries.
ABSTRACT
Abstract@#Introduction: Not only does flood affects the household community, but it also has an impact on business entities, particularly small and medium enterprises (SMEs) located in flood-prone areas. In order to assist SMEs to prepare for a flood disaster effectively, the set-up of a disaster preparedness plan is essential. The purpose of this study is to develop a validated instrument for identifying the different levels of disaster preparedness among SMEs in their readiness to face a flood disaster. Methods: In this preliminary study, 26 items of flood disaster preparedness activities (FDPA) reviewed from works of literature were adopted and adapted to be randomly administered to 30 respondents (SME business owners) located in the Temerloh province, Malaysia, which is identified as a flood-prone area. A Rasch analysis technique was used to identify the psychometric properties of the instrument. Results: Using the Rasch measurement analysis technique, the instrument used was able to categorise the SMEs into two level of preparedness: low and moderate. About 25 items were found to possess good psychometric features in determining the flood preparedness level of SMEs despite the lack of items on measuring high-level preparedness activities. Conclusion: The results of this preliminary study have served to highlight the strength of the instrument and gaps identified for further improvement in the near future.
ABSTRACT
@#Background: Quality of Work Life (QWL) is a subset of the quality of life which expresses the interactions between workers and their total working environment with individual or human dimension. Objectives: The objective of this study was to determine the prevalence of QWL among Malaysian workers. Methods: 2740 respondents (1921 males and 819 females) were randomly selected from 11 different industries from all states of Malaysia. Respondents were aged between 18 to more than 55 years and were a local OSH Personnel and local general workers. Face to face interviews were conducted in all the selected industries using a structured questionnaire form adapted from Malaysian OSH Profile 2016. Respondents have completed the questionnaire under instructions and supervision of the research team. Results: Majority of the respondents were male (70.1%) and from manufacturing industries (76.3%). 50% of the respondents identified a high level of QWL in each component like not having a stress with the work load (85.5%), good work environment (78.4%), family life (83.1% and 83.6%), enough income and distribution (58.9%), good communication and harmonies relationship between colleagues and boss (93.4% and 88.7%), good facilities (88.6%), welfare at work (71.3%) and productive working condition (80.8%). There is a significant difference between QWL and type of industries [F(10)=12.897, p=0.001] where agriculture industry had the highest QWL. There is significant difference between QWL and gender (p=0.009) where male reported higher QWL compared to female. Conclusion: These findings could be used by the organizations in order to enhance its performance, productivity, employees’ commitment and satisfaction.