Predictive and Associated Factors of Musculoskeletal Injuries

NCT ID: NCT05331950

Last Updated: 2023-02-02

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 208 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2022-04-15
• Study Completion Date: 2023-01-30

Brief 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.

Conditions

Musculoskeletal Injury

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: CROSS_SECTIONAL

Study Groups

Office workers

The office workers will do their routine job tasks and will be observed through injury predictor (functional movement screen) at baseline and after actual injuries happened 6 months

Office Workers

Intervention Type: OTHER

Office Workers which will be observed/exposed with different task and different factors

Interventions

Office Workers

Office Workers which will be observed/exposed with different task and different factors

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• • Both Genders.

• 25-45 years.
• Office workers

Exclusion Criteria

• any neuromusculoskeletal injuries

• Minimum Eligible Age: 25 Years
• Maximum Eligible Age: 45 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Riphah International University

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Aisha Razzaq, MSPT-OMPT

Role: PRINCIPAL_INVESTIGATOR

Riphah International University

Locations

MTBC

Rawalpindi, Punjab Province, Pakistan

Countries

Pakistan

Other Identifiers

RiphahIU Atif Zulfiqar

Identifier Type: -

Identifier Source: org_study_id