Studies have identified working postures as a major risk factors associated with Work-related musculoskeletal disorders (WMSD) in industries. This study investigated the prevalence of WMSD among assembly workers in Malaysia and how psychosocial factors such as personal values and workers relationship with family and superior are associated with discomfort and pain. A survey was conducted among 127 workers at assembly process in the manufacturing industry. The workers were aged 28.74±6.74 years and 64.6% of them were males. Analysis of Variance (ANOVA) was used to determine the effect of workplace factors on WMSD at different body regions. Spearman’s rank correlation was used to investigate association between psychosocial factors and occurrence of discomfort and pain. Only occupation and job activities revealed any significant different with WMSD in the major body regions while there was no significant difference in gender, age and work duration classifications. Shoulder painis the most prevalent in terms of frequency and intensity of occurrence. Psychosocial issues that have to do with person values, effect of job on family relationship and workers rapport with superiors are all found to be associated with the discomfort and pain among the occupational group. Employers and concerned government agencies need to take more proactive steps in tackling the problem as the occurrence of WMSD will have a significant effect on the overall wellbeing of the working population.
The complex and limited understanding of the interactions among multiple factors associated with back pain occurrence among schoolchildren might explain the current inconclusive and contradictory findings on the issue. The global increase in the prevalence of childhood overweight and obesity, which reportedly affects children's physical abilities, calls for concern among school/children ergonomists and other stakeholders.
The study analysed backpack-related back pain in school children by investigating the possibility of multiple interactions among causative factors, which may be responsible for the non-conclusive findings on the issue. Using data from 444 prepubescent schoolchildren, a mixed method design combining survey, observation and direct measurement strategies was implemented. Using a multivariate structural equation modelling approach, the study investigated interactions among anthropometry, posture, backpack volume, rating and back pain constructs, with each construct made of 2-4 indicators. Additionally, regression analysis was used to determine the feasibility of considering the two additional factors of age and body mass index along with the globally accepted recommendation of a load of 10-15% of body weight. Our model demonstrated an acceptable model fit and revealed direct and indirect effects of the factors. Obese children were recommended to carry a one-third lighter load than other children. The application of systematic/multiple strategies provided an explanation for some of the issues associated with school children's backpack-related back pain.
The increase in Musculoskeletal Disorders (MSDs) cases in the context of manufacturing industry in Malaysia in
the recent years has become a national concern. Therefore, the study aims to compare the severity of the WMSDs cases
involving electronic workers by using survey, interview, observation and experimental methods. The questionnaire
was designed and distributed to 204 assembly workers performing printer and inserting semiconductor in the electronic
sector. The ergonomic risk was assessed through direct observation of workers’ posture at their workstation using
WERA. In addition, Electromyogram (EMG) analysis was used to measure the muscle activity of workers. The result
shows that standing workers are exposed to consistent MSD more than sitting workers in all body regions except for
the upper back. According to WERA results, both postures contribute to high risk of MSD especially at wrist and leg
regions. In conclusion, there is a significant correlation in the findings from the survey, observation and EMG analysis
about the prevalence of MSDs among the workers, although the degree of prevalence differs in some body regions.
Hence, there is a need to identify more interacting variables associated with the problem.
OBJECTIVE: The unavailability of anthropometric data especially in developing countries has remained a limiting factor towards the design of learning facilities with sufficient ergonomic consideration. Attempts to use anthropometric data from developed countries have led to provision of school facilities unfit for the users. The purpose of this paper is to use factor analysis to investigate the suitability of the collected anthropometric data as a database for school design in Nigerian tertiary institutions.
PARTICIPANTS: Anthropometric data were collected from 288 male students in a Federal Polytechnic in North-West of Nigeria. Their age is between 18-25 years.
METHODS: Nine vertical anthropometric dimensions related to heights were collected using the conventional traditional equipment. Exploratory factor analysis was used to categorize the variables into a model consisting of two factors. Thereafter, confirmatory factor analysis was used to investigate the fit of the data to the proposed model.
RESULTS: A just identified model, made of two factors, each with three variables was developed. The variables within the model accounted for 81% of the total variation of the entire data. The model was found to demonstrate adequate validity and reliability. Various measuring indices were used to verify that the model fits the data properly. The final model reveals that stature height and eye height sitting were the most stable variables for designs that have to do with standing and sitting construct.
CONCLUSION: The study has shown the application of factor analysis in anthropometric data analysis. The study highlighted the relevance of these statistical tools to investigate variability among anthropometric data involving diverse population, which has not been widely used for analyzing previous anthropometric data. The collected data is therefore suitable for use while designing for Nigerian students.
KEYWORDS: Exploratory factor analysis; measurement model; school ergonomics