The Association Between Occupation and the Incidence of Knee Disorders in Young Military Recruits

Medical Corps, Israel Defense Forces, Tel Hashomer Base, Tel Hashomer 52620, Israel.
Military medicine (Impact Factor: 0.77). 01/2013; 178(1):61-7. DOI: 10.7205/MILMED-D-12-00307
Source: PubMed


To investigate the association between occupational risk factors and the incidence of knee disorders in a young adult population.
Israeli recruits to the Israel Defense Forces go through a rigorous medical investigation. Study participants were classified by prior knee condition status and divided into 5 categories of prospective occupational exposure to physical activity according to their assigned military duties, and were then followed for 30 months for the development of severe knee disorders (SKD). Logistic regression analysis was used to estimate the occupational risks for incident SKD, adjusted for any previous mild or moderate disorder, body mass index, and body height at induction.
The study population consisted of 76,491 males. SKD developed in 615 (0.8%). Compared to administrative workers as referents, a higher risk of developing SKD was manifest among high intensity combat occupations, (odds ratios [OR] 2.15), those in moderate intensity combat occupations (OR 2.57) and maintenance (OR 1.59). Drivers did not demonstrate increased risk of knee disorders compared to referents.
Occupational factors during military service are associated with incident SKD, even when taking into account previous knee disorders, body mass index, and height, which also had independent effects in our study population.

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    • "In the knee, the most common findings in examination was the knee shrug sign this is in accordance with findings from similar studies which have reported patellofemoral pain syndrome as the most common cause of knee complaints among military recruits.[262728] An interesting finding in our study was the relative imbalance in findings when comparing the right and left lower extremities. "
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    ABSTRACT: In this prospective case series we have assessed the clinical effects of 8 weeks military training on the lower extremity of the recruits. Military recruits who met the eligibility criteria and gave informed consent were entered into the study. They were asked to fill out a self-reporting pain and functionality questionnaire before and after their training. They were also examined by a physician before and after their military training. The questionnaire and examination were concentrated on three blocs: lower back, knee, and foot. Three-hundred and seventy-three study subjects were evaluated. The study showed that there is a significant difference in reporting lower back pain after the training compared to the rate of complaints prior to the training (P < 0.001), knee pain, and foot pain also increased significantly (P < 0.1 and P < 0.0001, respectively) The difference was most prominent in foot complaints. Physical examination also showed significant increase in lower extremity findings following the training (P < 0.05). Our study shows that there is a need for a new approach to military training of male recruits in Iran in order to minimize the adverse health effects.
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    ABSTRACT: Objectives: To derive job condition scales for future studies of the effects of job conditions on soldier health and job functioning across Army Military Occupation Specialties (MOSs) and Areas of Concentration (AOCs) using Department of Labor (DoL) Occupational Information Network (O*NET) ratings. Methods: A consolidated administrative dataset was created for the “Army Study to Assess Risk and Resilience in Servicemembers” (Army STARRS) containing all soldiers on active duty between 2004 and 2009. A crosswalk between civilian occupations and MOS/AOCs (created by DoL and the Defense Manpower Data Center) was augmented to assign scores on all 246 O*NET dimensions to each soldier in the dataset. Principal components analysis was used to summarize these dimensions. Results: Three correlated components explained the majority of O*NET dimension variance: “physical demands” (20.9% of variance), “interpersonal complexity” (17.5%), and “substantive complexity” (15.0%). Although broadly consistent with civilian studies, several discrepancies were found with civilian results reflecting potentially important differences in the structure of job conditions in the Army versus the civilian labor force. Conclusions: Principal components scores for these scales provide a parsimonious characterization of key job conditions that can be used in future studies of the effects of MOS/AOC job conditions on diverse outcomes.
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