This cross-sectional descriptive-analytical study was conducted on 143 carpet weaving workers at a carpet weaving industry located in Qom city, south of the Tehran Province. Before the study, all participants completed an ethical consent form to participate in the study and provided consent to participate in this study. The randomized sample with a confidence level of 95% and a power effect size test of 8% by an absolute error of 25% was determined as 143 individuals.
Inclusion criteria for the study were at least 1 year experience in carpet weaving, working hours longer than 4 hours per day, and lack of history of non-work related upper limb musculoskeletal injuries (such as injuries caused by accidents, birth defects, fractures, disability, etc.). Exclusion criteria included trauma to the musculoskeletal system during the study time. At first, a hierarchical job analysis (HJA) was used to determine the tasks and sub-tasks involved in different jobs of carpet weaving industries (
23). The HTA results showed 3 separate parts in carpet weaving operations, including the tree task of weave, the weft laying thick and combing, and the weft laying thin and combing. Workers employed in these jobs typically worked from 8 to 12 hours per day. Within one working day, regarding the allocated time for the weave task, the weft laying thick and comb making task, and the weft laying thin, and combing operations took 78%, 12%, and 9% of the total work time, respectively. Each of the above tasks included sub- tasks; all of the tasks with their encoding are presented in
Figure 1.
The Task and Sub-Tasks Assigned by the Hierarchical Job Analysis Method in the Carpet Weaving Job and Their Encoding
For determining the prevalence of musculoskeletal disorders, nordic musculoskeletal questionnaire (NMQ) was used. This questionnaire has 2 parts, general and specific, and with regards to the purposes of the current study, only the general part was examined (
24). To achieve better results, questionnaires were completed through direct interviews with the subjects, and prevalence of musculoskeletal disorders was recorded during the past year.
In order to assess the risk factors that cause musculoskeletal disorders in the upper extremity, the job strain index (JSI) was used. The job strain index (JSI) is a pen and paper scale based observational methods to determine the risk factors causing musculoskeletal disorders upper extremity was used in repetitive tasks (
25). This method was presented by Moore and Garg in 1995 based on physiological, biomechanics, and epidemiological principles (
26). Job strain index of 6 ergonomic risk factors, including intensity of exertion (IE), duration of exertion (DE), efforts/minutes (EM), speed of work (SW), during per day (DD), and hand/wrist posture (HWP), was determined and the final strain score was obtained by multiplying each parameter. Each variable had 5 levels of classification and provided the possibility for the observer to determine the risk factors. Also, using a fixed number for each variable made this method easy to use. For implementing this method, each job was analyzed according to its tasks, then considering the variable of each task, the degree and the severity, the score of strain index was calculated for each hand, separately. Given the range of factors to calculate the strain, all information must be entered in
Table 1 to determine the multipliers of each factor, according to the schedule that was established.
| Classification | Intensity of Exertion (IE) | Duration of Exertion (DE), % | Efforts/Minutes (EM) | Hand/Wrist Posture (HWP) | Speed of Work (SW) | During Per Day (DD) |
|---|
| 1 | Light | 10 > | 4 > | Very good | Very slow | 1 > |
| (1) | (0.5) | (0.5) | (1) | (1) | (0.25) |
| 2 | Average | 10 - 29 | 4 - 8 | Good | Slow | 12 |
| (3) | (1) | (1) | (1) | (1) | (0.5) |
| 3 | Hard | 30 - 49 | 9 - 14 | Average | Average | 2 - 4 |
| (6) | (1.5) | (1.5) | (1.5) | (1) | (0.75) |
| 4 | Very hard | 50 - 79 | 15 - 19 | Bad | Fast | 4 - 7 |
| (9) | (2) | (2) | (2) | (1.5) | (1) |
| 5 | At maximum power | 80 - 100 | 20 ≤ | Villainous | Very fast | 8 ≤ |
| (13) | (3) | (3) | (3) | (2) | (1.5) |
After determining the multipliers of each factor, the final score was calculated according to the following formula (25):
JSI = IE × DE × EM × HWP × SW × DD
Moore and Garg (1995) recommended a job strain index score of 5 as a discrimination criteria between a safe or hazardous condition (26). However, Drinkaus et al. (2005) proposed a classification under 4 criteria for interpreting the computed job strain index score as follows (12):
Risk level 1 (safe condition): job strain index score of less than 3;
Risk level 2 (uncertain condition): job strain index score of 3 to 5;
Risk level 3 (low-risk conditions): job strain index score of 5 to 7;
Risk level 4 (hazardous conditions): job strain index score greater than 7;
In this study, after determining the final score by the strain index, the data were analyzed using statistical package for social sciences (SPSS) (SPSS, Chicago, Illinois, USA). Also, the were were drawn by this software.