| Literature DB >> 27213134 |
Kimberley A Andersen1, Paul N Grimshaw1, Richard M Kelso1, David J Bentley2.
Abstract
Injuries are common within military populations, with high incidence rates well established in the literature. Injuries cause a substantial number of working days lost, a significant cost through compensation claims and an increased risk of attrition. In an effort to address this, a considerable amount of research has gone into identifying the most prevalent types of injury and their associated risk factors. Collective evidence suggests that training and equipment contribute to a large proportion of the injuries sustained. In particular, the large loads borne by soldiers, the high intensity training programs and the influence of footwear have been identified as significant causative factors of lower limb injury in military populations. A number of preventative strategies have been developed within military bodies around the world to address these issues. The relative success of these strategies is highly variable; however, with advancements in technology, new approaches will become available and existing strategies may become more effective.Entities:
Year: 2016 PMID: 27213134 PMCID: PMC4851683 DOI: 10.1186/s40798-016-0046-z
Source DB: PubMed Journal: Sports Med Open ISSN: 2198-9761
Injury rates amongst military populations
| Author (s) | Year | Rate [% ( | Observation period (weeks) | Study population | Injuries studied | Source data |
|---|---|---|---|---|---|---|
| Milgrom et al. [ | 1985 | 31 (91) | 14 | Male IDF recruits ( | Stress fracture | Empirical data |
| Jones et al. [ | 1993 | 45.9 (139) | 12 | Male US Army infantry recruits ( | All injuries—lower limb only | Empirical data |
| Almeida et al. [ | 1999 | 39.6 (482) | 12 | Male US Marine recruits ( | All injuries | Empirical data |
| Defence Health Service Branch [ | 2000 | 9.1 (5038) | 52 | Full-time ADF personnel ( | All injuries | DEFCARE data (1997/98 financial year) |
| 3.9 (1067) | 52 | Part-time ADF personnel ( | ||||
| Davidson et al. [ | 2008 | 26.7 (2575) | 48 (11 months) | Active NZDF personnel ( | All injuries—lower limb only | ACC claim forms |
| Knapik et al. [ | 2012 | 1.93 (9182) | 520 (10 years) | Male US Army recruits ( | Stress fracture | DMDC Master Personnel File, DMSS, and MEPS database (1997–2007) |
| 7.99 (8622) | 520 (10 years) | Female US Army recruits ( |
ACC Accident Compensation Corporation; ADF Australian Defence Force; DMDC Defense Manpower Data Center; DMSS Defense Medical Surveillance System; IDF Israeli Defence Force; MEPS Medical Entrance Processing Station; NZDF New Zealand Defence Force; US United States
Fig. 1Loads and equipment carried in the Australian Army by activity type. The solid red lines indicate the loads carried measured in kilograms. The dotted blue lines indicate the percentage of the activities completed with weapons, and armour and helmets in addition to marching and patrol orders. Reproduced from Orr, [17] with permission
Fig. 2Mean oxygen uptake (VO2) versus shoe forefoot longitudinal bending stiffness. Reproduced from Roy and Stefanyshyn, [53] with permission. The blue solid line is the data presented by Roy and Stefanyshyn [53], while the red dotted line is a potential trend of energetic cost with shoe longitudinal bending stiffness