Predictive and Associated Factors of Musculoskeletal Injuries
Condition: Musculoskeletal Injury
MeSH terms: Wounds and Injuries
Study type: Observational

Summary: 
      The aim of this research is to find out the factors associated with musculoskeletal injuries
      among office workers and also determine whether Functional Movement Screen (FMS) can predict
      musculoskeletal injuries or not? Prospective Cohort study will be done at the offices of
      Rawalpindi. The sample size is 208. Study duration will be of 6 months. Non probability
      Purposive Sampling will be used. Tools used in the study are FMS, Fat Caliper, Weighing
      machine & Inches tape. Data will be analyzed through SPSS 23.
    

Detailed description: 
      Musculoskeletal injuries and conditions represent a major public health problem, with
      significant social, economic, and health consequences. Office workers are forming a major
      group for musculoskeletal injuries as they have to work for a longer period of time on
      computer and sitting on a chair. Musculoskeletal discomfort in office workers is commonly
      caused by poor ergonomic workstation design, psychosocial, physical and organizational risk
      factor. There are several MSK disorders associated with computer use in people spending more
      than 9 hours or more every day using computer.

      To combat workplace caused mental and physical exhaustion physical activity has been proven
      to be an efficient. Physical activity is known not to only treat but prevent the occurrence
      of a fore coming disease. Being physically active will lead to reduced stress levels and
      increased productivity. The Functional Movement Screen (FMS) is a physical examination used
      to measure essential movement patterns in a practical and dynamic way. Functional Movement
      screen was designed with a purpose of identify body asymmetries, assess mobility and
      stability within the kinetic chain of whole-body movements and to detect poor quality
      movement patterns. Other tools like modified Y-balance test have also been used to predict
      injuries.

      Literature review: Previously in a study carried out on firefighters Contreras et al reported
      that 47% of the participants had an FMS score lower than 14 and they accounted for 72% of the
      total musculoskeletal injuries.

      In another study carried out on Collegiate athletic association Division II athletes the
      overall prognostic accuracy of the FMS offered a slightly better than 50/50 chance of
      correctly classifying those most at risk for injury.

      A study carried out to find the association between functional fitness scores calculated by
      FMS and musculoskeletal injury in police officers by Liana Lentz et al suggested that of all
      the participants, females accounted for 17.9% of the injured subjects.

      Previously a study carried out by Michal Pan Tanowitz et al to find factors associated with
      musculoskeletal injuries in an infantry commanders' course suggested that army operators who
      sustained a spinal injury have a significantly greater BMI than those who did not, and also
      increased body fat combined with reduced physical fitness may increase the soldier's risk for
      injury.
    

Intervention name(s): Office Workers
Intervention type(s): Other
Intervention description(s): Office Workers which will be observed/exposed with different task and different factors
Observational model: Cohort
Time perspective: Cross-Sectional
Sampling method: Non-Probability Sample
Study population: 
        office workers spending at least 6 hours per day at work
      
Keywords: Functional movement screen.; Musculoskeletal Injury; Office workers