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Objective To assess the effectiveness of the evaluation of military physical function (EMPF) system in predicting the occurrence of military training injuries among new recruits to provide scientific guidance and methodological choice for military training. Methods A total of 527 new recruits from 5 grassroots units from July 2016 to February 2018 were selected for the study. The recruits underwent EMPF testing, and their military training injuries were monitored over a 2-year follow-up period. Those who sustained injuries during training were divided into injury group (n=163), while the remaining recruits were placed in healthy group (n=364). The predictive ability of the total EMPF score for training injuries was assessed using the receiver operating characteristic curve (ROC), and the correlation between the total EMPF score, individual test scores, and military training injuries were analyzed using binary logistic regression. Results The total EMPF score of new recruits in injury group (19.52±1.97) was significantly lower than that of healthy group (24.31±1.54) (P<0.001), which also demonstrated a high diagnostic value in predicting the risk of military training injuries, with an area under the curve (AUC) of ROC of 0.971 (P<0.001). A cut-off value of 22 scores was found to have the highest accuracy in predicting future training injuries, with an odds ratio (OR) of 25.63, sensitivity of 0.939, specificity of 0.879, positive likelihood ratio of 7.76, and a post-test probability of 0.67. Binary logistic regression analysis revealed that 6 EMPF tests, including holding the ball over and leaning back, bending forward and touching the ground with the ball, lunge squat and twist, swallow balance with holding the ball afterward, vertical jump, and respiratory pattern assessment, were negatively associated with the risk of military training injuries (P<0.0001). Conclusion The EMPF system can effectively predict the risk of military training injuries, with military personnel whose total EMPF score is less than 22 being at higher risk of sustaining such injuries.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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