To study the first hypothesis, a retrospective cohort analysis of Air Force members from
January 2005 to December 2010 will be performed to evaluate the association of obesity as an
independent predictor variable with musculoskeletal disease as the dependent variable. A
second analysis will be performed on the same cohort using musculoskeletal disease as an
independent predictor variable, as well as evaluating a potential interaction between
obesity and musculoskeletal disease, to determine the association of these variables with
the dependent variable of service member readiness for duty. The independent variables for
the analyses include:
- Age
- Sex
- BMI
- Fitness data (PIMR: PFT scores, weight, height, BMI, abdominal circumference)
- Profile data (PIMR: Number of profiles, number of profiles due to musculoskeletal
diagnoses, total days on duty limitation, total days on mobility limitation)
- Total number of deployments served
- All new musculoskeletal diagnoses (see attached abbreviated ICD-9 list)
- Incidence of member separation from AF
- Incidence of disability retirement
- X-rays
- Surgeries (orthopaedic, general)
- Referrals to the Orthopaedic Department
- Referrals to the Pain Clinic
- New diagnosis of diabetes mellitus
- Death
All data will be gathered by SG6H, Healthcare Informatics Division, and de-identified. Then
the de-identified data will be coded and sent to the Principal Investigator for analysis.
All informational data sets will be totally de-identified prior to releasing to the
Principle Investigator to be analyzed by a statistician.
Observational
Observational Model: Case Control, Time Perspective: Retrospective
Nathaniel Nye, MD
Principal Investigator
Mike O'Callaghan Federal Hospital
United States: Federal Government
FWH20120036H
NCT01613001
March 2012
March 2013
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