Background: Heavy lifting, and prolong sitting, all of which are known risk factors for musculoskeletal disorders (MSDs). These physical demands can cause long-term health problems, discomfort, and decreased productivity. Creating successful ergonomic interventions for this workforce requires examining the prevalence of MSDs and the risk factors that are linked to them.

Need of Study: The need of this study is to find prevalence and risk factors of work-related musculoskeletal disorders among administrative staff in higher education institution.

Method: This study recruited administrative staff aged 25-45 years to assess the prevalence and distribution of musculoskeletal disorders (MSDs) using the Nordic Musculoskeletal Questionnaire (NMQ) and Ergonomic risk was assessed onsite using the Rapid Office Strain Assessment (ROSA). A sample of 122 participants was selected through simple random sampling. Data were collected through direct observation and questionnaires. Descriptive statistics summarized the data, while logistic regression was used to test relationships. Only full-time staff employed for at least 6 months were included, and those with a history of cardiac or neurological conditions were excluded.

Result: In 122 participants, 59% were female. Mean age was 37.8 years, with an average of 9.7 years of service and 6.5 hours/day of computer use. Twelve-month WMSD prevalence was 64.8%, with the neck (55.7%), upper back (47.5%), lower back (41.8%), and shoulders (31.1%) most affected. In the past 7 days, 37.7% reported symptoms, especially in the lower back (24.6%). Mean pain intensity was 4.6/10.Average ROSA score was 5.0; 72.1% of workstations scored ≥5, indicating moderate to high ergonomic risk. Statistical Associations with WMSD Presence, Significant associations were found for age >35 (p = 0.02), computer use >7 hours/day (p = 0.01), and ROSA ≥5 (p < 0.001). Gender and service duration were not significant. (Multivariate Analysis) ROSA ≥5 (OR = 3.5), computer use >7 hours (OR = 2.3), and age >35 years (OR = 1.6) independently predicted WMSDs.