Havenetidis Konstantinos, Paxinos Thrasivoulos
Human Performance-Rehabilitation Laboratory, Faculty of Physical and Cultural Education, Hellenic Army Academy, Leoforos Vari-Koropiou Avenue, 16673 Vari, Attiki, Greece.
Mil Med. 2011 Oct;176(10):1111-6. doi: 10.7205/milmed-d-10-00448.
Predictors of work-related injuries were assessed using data from a group of Greek Army officer cadets.
Cadets (n = 253) were monitored by physicians for musculoskeletal injuries resulting through a 7-week Basic Combat Training (BCT) period. Potential predictors of musculoskeletal injuries (Cadets' entry number, body mass index [BMI], body fat percentage [BFP], gender, age, sport experience, and nationality) were modeled via univariate and multivariate logistic regressions.
Using odds ratio (OR) and confidence interval (CI), it was shown that older age (OR = 0.73; 95% CI = 0.56-0.96), female gender (OR = 0.13; 95% CI = 0.02-0.81), high BFP (OR = 1.21; 95% CI = 1.07-1.37), and Greek nationality (OR = 0.22; 95% CI = 0.07-0.69) were all associated with musculoskeletal injuries. These factors, except for gender, were also related to overuse injuries.
During BCT, adiposity expressed as BFP and not as BMI can predict the magnitude and type (acute-overuse) of musculoskeletal injuries in Greek cadets.
利用一组希腊陆军军官学员的数据评估与工作相关损伤的预测因素。
在为期7周的基础战斗训练（BCT）期间，医生对学员（n = 253）的肌肉骨骼损伤进行监测。通过单变量和多变量逻辑回归对肌肉骨骼损伤的潜在预测因素（学员入学编号、体重指数[BMI]、体脂百分比[BFP]、性别、年龄、运动经历和国籍）进行建模。
使用比值比（OR）和置信区间（CI）表明，年龄较大（OR = 0.73；95% CI = 0.56 - 0.96）、女性（OR = 0.13；95% CI = 0.02 - 0.81）、高BFP（OR = 1.21；95% CI = 1.07 - 1.37）和希腊国籍（OR = 0.22；95% CI = 0.07 - 0.69）均与肌肉骨骼损伤有关。除性别外，这些因素也与过度使用损伤有关。
在基础战斗训练期间，以体脂百分比而非体重指数表示的肥胖可预测希腊学员肌肉骨骼损伤的程度和类型（急性 - 过度使用）。
