Investigating factors affecting musculoskeletal disorders: Predictive models for identifying caregivers at risk
- Resource Type
- Authors
- Abdulrahman M. Khamaj; Abdulelah M. Ali; Mohd Mukhtar Alam
- Source
- Work. 72:1311-1320
- Subject
- Occupational Diseases
Cross-Sectional Studies
Caregivers
Risk Factors
Surveys and Questionnaires
Rehabilitation
Prevalence
Public Health, Environmental and Occupational Health
Humans
Musculoskeletal Diseases
- Language
- ISSN
- 1875-9270
1051-9815
BACKGROUND: Musculoskeletal disorders (MSDs) are the most common work-related injuries identified among caregivers in the health sector as a high-risk group. OBJECTIVES: The study aimed to investigate the factors that influence musculoskeletal disorders among caregiver and to evaluate the relationship between work and non-work related factors with MSDs. METHODS: Data were collected from 104 caregivers using descriptive design and stratified cluster sampling. The survey included a demographic questionnaire and a Nordic Standardized Musculoskeletal Questionnaire. Logistic regression was performed to determine the risk factors associated with MSDs. The Odds ratio (OR) was calculated to define the influence of each risk factors. In addition, we used forward logistic regression analysis to validate the predictive model. RESULTS: In this cross-sectional survey, the results showed that 70 (67.3%) participants reported MSDs. MSD was highest at the lower back (46%), then knee (15.4%) and shoulder (11.5%). The overall success of the prediction is 90.4% (94.6 for having MSDs). The most important risk factors were manual handling (p