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1.450100 郑州,中国人民解放军32739部队
2.400037 重庆,陆军军医大学(第三军医大学)陆军卫勤训练基地军事共同与部队管理教研室
[孟涛,E-mail: tao_meng@163.com MENG Tao, E-mail: tao_meng@163.com
收稿:2023-02-14,
修回:2023-05-23,
纸质出版:2023-10-30
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王刚, 宋永飞, 胡绪, 等. 军人身体关节功能筛查对新兵军事训练伤的预测效度研究[J]. 陆军军医大学学报, 2023,45(20):2189-2194.
Gang WANG, Yongfei SONG, Xu HU, et al. Predictive validity of joint function screening for military training injuries in new recruits[J]. Journal of Army Medical University, 2023, 45(20): 2189-2194.
王刚, 宋永飞, 胡绪, 等. 军人身体关节功能筛查对新兵军事训练伤的预测效度研究[J]. 陆军军医大学学报, 2023,45(20):2189-2194. DOI: 10.16016/j.2097-0927.202302075.
Gang WANG, Yongfei SONG, Xu HU, et al. Predictive validity of joint function screening for military training injuries in new recruits[J]. Journal of Army Medical University, 2023, 45(20): 2189-2194. DOI: 10.16016/j.2097-0927.202302075.
目的
2
探讨军人身体关节功能筛查对新兵军事训练伤的预测效度。
方法
2
于2022年3-5月对联勤保障部队某训练机构113名新兵进行身体关节功能筛查测试,记录新训期间军事训练伤情况。采用JB(Jarque-Bera)正态性检验、二元Logistic回归、ROC曲线和
OR
值计算分析,综合判定身体关节功能筛查在预测军事训练伤中的效度。
结果
2
新兵关节功能筛查平均得分为9.46分,受伤新兵与未受伤新兵筛查得分差异有统计学意义[(7.30±1.45)分
vs
(9.92±1.74)分,
P
<
0.01
]
;二元Logistic回归分析显示,筛查评估得分是军事训练伤的重要影响因素(
β
=-1.098,
P
<
0.01);ROC曲线分析显示,AUC=0.875(95%
CI
:0.789~0.952,
P
<
0.01)、敏感度为75%、特异性为80.6%、损伤风险阈值为8.5分;筛查评估<8.5分的新兵潜在损伤风险概率是≥8.5分新兵的12.5倍(
OR
=12.5)。
结论
2
军人身体关节功能筛查评估得分与军事训练伤关联强度高、预测效度好,可作为各军兵种新兵军事训练伤的预测工具。
Objective
2
To explore the predictive validity of joint function screening for military training injuries in new recruits.
Methods
2
A total of 113 new recruits were subjected from a training institution of the Joint Logistic Support Force of PLA from March to May 2022. Their joint function was evaluated
and the military training injuries were recorded during the training. Jarque-Brea (JB) normality test
binary logistic regression
receiver operating characteristic (ROC) curve and OR value calculation were used to comprehensively evaluate the validity of joint function screening in predicting military training injuries.
Results
2
The average score of joint function was 9.46 in the participants
and statistical difference was observed in the score between the injured recruits and uninjured recruits (7.30±1.45
vs
9.92±1.74
P
<
0.01). Binary logistic regression analysis showed that the screening score of joint function was an important influencing factor of military training injuries (
β
=-1.098
P
<
0.01). ROC curve analysis showed that the AUC value was 0.875 (95%
CI
: 0.789~0.952
P
<
0.01) in the prediction of training injuries
with a sensitivity of 75% and a specificity of 80.6%
and the injury risk threshold was 8.5 points. The potential injury risk probability in the new recruits with
<
8.5 points in screening was 12.5 times higher than those with the score ≥8.5 points (
OR
=12.5).
Conclusion
2
The screening score of joint function has good correlation with military training injury
and shows good predictive performance for the injuries. Therefore
it can be used as a prediction tool of military training injuries for new recruits in all branches of the military.
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