Screening Tests Detect Knee Pain and Predict Discharge from Military Service

Authors: Larsson, Helena1; Larsson, Matthias2; Österberg, Hanna2; Harms-Ringdahl, Karin1

Source: Military Medicine, Volume 173, Number 3, March 2008 , pp. 259-265(7)

Publisher: AMSUS - Association of Military Surgeons of the U.S.

Buy & download fulltext article:

OR

Price: $20.00 plus tax (Refund Policy)

Abstract:

This study evaluated the capacity of a screening test to predict discharge from military training. When starting their training, 590 artillery and 258 ranger conscripts were tested in step-up, step-down, rising from a 0.40-m-high bench, and bilateral squat tests, with pain intensity ratings. Ranger conscripts who did not complete their training were noted. The rising test identified 82% and the step-down test 81% of artillery conscripts who reported pain at any level during any of the screening tests. Receiver operating characteristic curve analysis revealed that both the step-down test and the rising test were good in predicting discharge from military ranger training because of knee problems. The step-down test identified 80% of ranger conscripts who did not complete training because of knee disorders. The tests constitute a simple, time-saving, cost-effective tool in a systematic process for screening knee pain to identify high-risk groups, for prioritization of interventions.

Document Type: Research article

Affiliations: 1: Department of Neurobiology, Care Sciences, and Society, Division of Physiotherapy, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden. 2: Swedish Armed Forces Recruitment Centre, Stockholm, Sweden.

Publication date: 2008-03-01

More about this publication?
Related content

Tools

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page