A regression model on work-related musculoskeletal disorders and associated risk factors among radiographers

Abstract

Objectives. This study aimed to develop a predictive model for work-related musculoskeletal disorders (WRMSDs) among radiographers. Methods. A survey was conducted in seven hospitals in two cities with radiographers using the ergonomic assessment for radiographers questionnaire. Logistic regression, confirmatory factor analysis and structural equation modelling (SEM) were utilized to establish statistical relationships between independent factors and musculoskeletal complaints. Results. Of 165 respondents, 75.2% reported musculoskeletal pain in the past 12 months, with lower back pain the most prevalent (58.8%). Adjusting for covariates, musculoskeletal pain significantly correlated with body mass index < 23 (odds ratio [OR] 0.06, 95% confidence interval [CI] [0.005, 0.914]), smoking status (OR 0.274, 95% CI [0.751, 6.195]), fixed work break schedule (OR 2.839, 95% CI [1.123, 7.176]), sustained posture (OR 4.854, 95% CI [1.203,19.594]) and prolonged standing or walking (OR 7.499, 95% CI [1.086, 51.753]). The fit measures indicate a moderately good fit of the proposed model to the observed data. However, latent variables did not exhibit significant associations with WRMSD in SEM. Conclusions. The model suggests that WRMSDs among radiographers moderately correlate with underweight, smoking status, fixed work breaks, sustained posture and extended periods of standing or walking. The absence of significant associations between latent variables and WRMSDs suggests the presence of unexplored factors influencing the outcome. Trial registration: Clinical Trials Registry India identifier: CTRI/2021/09/036992