Modified Initial Era Checklist for Screening Ergonomics Risk Factors in Diagnosing Work-Related Musculoskeletal Disorders Introduction Work-related musculoskeletal disorders (WRMSDs) are known to affect a diverse range of occupations around the world. One major factor for their occurrence is the presence of ergonomics risk factors in the workplace; as such, steps to minimize WRMSDs in Malaysia include the development of the Initial Ergonomics Risk Assessment (ERA) checklist for on-site assessors. The checklist, however, may not be useful for medical doctors who diagnose WRMSDs in hospitals or clinics. Moreover, there is no tool to assist medical doctors in considering the role of ergonomics risk factors when diagnosing WRMSDs, which can hamper the overall management of occupational diseases. This study was therefore carried out to modify the Initial ERA checklist so that medical doctors can use it to consider the role of ergonomics risk factors when diagnosing WRMSDs. Methods In Phase I, document analysis was performed to construct the tool by integrating elements that were relevant for use in hospitals or clinics from the Initial ERA checklist and similar tools published overseas. In Phase II, the tool was reviewed by medical doctors and nurses and was found to have excellent content validity (I-CVI = 1.00). In Phase III, the tool underwent further improvement after trailing its application in two role-play sessions involving various healthcare professionals. Results The resulting Modified Initial ERA Checklist can assist medical doctors screen for various ergonomics risk factors when diagnosing WRMSDs in hospitals or clinics. Conclusions Future studies could further examine its application in the field to validate its actual use in hospitals or clinics

Objective: To investigate how gait parameters in children with traumatic brain injury (TBI) versus typically developing (TD) children are influenced by secondary concurrent tasks and examine the correlations between gait parameters and attention and balance in children with TBI. Methods: Sixteen children with TBI (mean age, 11.63±1.89 years) and 22 TD controls (mean age, 11.41±2.24 years) participated in this case-control study. Attention and functional balance were measured using the Children’s Color Trail Test (CCTT) and Pediatric Balance Scale (PBS). All participants first walked without concurrent tasks and then with concurrent motor and cognitive tasks. The APDM Mobility Lab was used to measure gait parameters, including gait velocity, stride length, stride duration, cadence, and double support time. Repeatedmeasures analysis of variance and Spearman correlation coefficient were used for the analysis. Results: Children with TBI showed significantly more deterioration in gait performance than TD children (p<0.05). Concurrent tasks (motor and cognitive) significantly decreased gait velocity and cadence and increased stride time; the differences were more obvious during the concurrent cognitive task. A moderate correlation was found between gait parameters (gait velocity and stride length) and CCTT-2 and PBS scores in children with TBI. Conclusion Gait performance may be affected by task complexity following TBI. Attention and balance deficits caused deterioration in gait performance under the concurrent task condition in children with TBI. This study illustrates the crucial role of task demand and complexity in dual-task interference.

Objective: To investigate how gait parameters in children with traumatic brain injury (TBI) versus typically developing (TD) children are influenced by secondary concurrent tasks and examine the correlations between gait parameters and attention and balance in children with TBI. Methods: Sixteen children with TBI (mean age, 11.63±1.89 years) and 22 TD controls (mean age, 11.41±2.24 years) participated in this case-control study. Attention and functional balance were measured using the Children’s Color Trail Test (CCTT) and Pediatric Balance Scale (PBS). All participants first walked without concurrent tasks and then with concurrent motor and cognitive tasks. The APDM Mobility Lab was used to measure gait parameters, including gait velocity, stride length, stride duration, cadence, and double support time. Repeatedmeasures analysis of variance and Spearman correlation coefficient were used for the analysis. Results: Children with TBI showed significantly more deterioration in gait performance than TD children (p<0.05). Concurrent tasks (motor and cognitive) significantly decreased gait velocity and cadence and increased stride time; the differences were more obvious during the concurrent cognitive task. A moderate correlation was found between gait parameters (gait velocity and stride length) and CCTT-2 and PBS scores in children with TBI. Conclusion Gait performance may be affected by task complexity following TBI. Attention and balance deficits caused deterioration in gait performance under the concurrent task condition in children with TBI. This study illustrates the crucial role of task demand and complexity in dual-task interference.

Background: Mutations in glucocerebrosidase (GBA) have been associated with the risk of developing Parkinson’s disease (PD) in different ethnic populations. The prevalence of GBA mutations among Malay PD patients is unknown. Thus, the aim of this study was to determine the frequency of GBA mutations among Malay PD patients, focusing on early (EOPD) and late-onset (LOPD) patients. Methods:EOPD (n = 50) and LOPD (n = 50) patients along with 50 ethnically and age-matched control wererecruited. The GBA exons of these patients were sequenced using the Ion Torrent PGMTM System. Results: Five heterozygous mutations exclusive to EOPD patients were identified; c.-203A>G,p.S146L, p.R159Q, p.L483P and p.L483R+c.-145G>A. In LOPD patients, c.543C>T(p.(F181=)), c.28-10C>A and p.R202Q were identified in which this p.R202Q was also present in a control subject. In addition, c.259C>A(p.(R87=)) and c.-145G>A were identified in two control subjects. In summary, we observed GBA mutations in 8% and 6% of Malay PD cases and control subject, respectively. The prevalence of GBA mutations was higher in EOPD (10%) than LOPD (6%). However, these differences were not statistically significant; [PD vs. controls: OR = 1.36, 95%CI 0.35-5.38, p = 0.752] and [EOPD vs. LOPD: OR = 1.74, 95%CI 0.39-7.71, p = 0.715]. Conclusion: We identified five exclusive heterozygous GBA mutations in EOPD patients which might predict the increase susceptibility of Malays to develop PD at young age. These findings could add knowledge into the existing evidences linking genetic alterations in GBA and PD.