Data Analysis
musculoskeletal disorders, pain
MUSCULOSKELETAL DISORDERS
Data analysis was performed using descriptive and inferential statistics by Statistical Package for the Social Sciences version 19 (SPSS; IBM, Armonk, NY, USA). Normality was measured by the Kolmogorov-Smirnov test. The data were not normally distributed, so non-parametric tests were used for data analysis. To evaluate the effect of the intervention on MSDs, the post-intervention results were evaluated using the Chi-square test. To evaluate the effect of the intervention on pain intensity, the post-intervention results and the mean score of pain intensity of musculoskeletal disorders were compared between the two groups compared using the Mann-Whitney test. To compare pain variables before and after the intervention, the Wilcoxon test was used. The McNemar’s test was used for the presence or absence of MSDs.The percentage of change pre- and post-test was calculated as.Percentage change from pretest to posttest =The Chi-square or Fisher’s exact test was used to evaluate the homogeneity of background (demographic) variables in the two intervention and control groups. All calculations were performed at a significant level of P < .05.