Article(id=1190310110435049877, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1190243275249390089, articleNumber=null, orderNo=null, doi=10.11855/j.issn.0577-7402.1428.2024.0813, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1699027200000, receivedDateStr=2023-11-04, revisedDate=null, revisedDateStr=null, acceptedDate=1704643200000, acceptedDateStr=2024-01-08, onlineDate=1761721645220, onlineDateStr=2025-10-29, pubDate=1748361600000, pubDateStr=2025-05-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1761721645220, onlineIssueDateStr=2025-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1761721645220, creator=13701087609, updateTime=1761721645220, updator=13701087609, issue=Issue{id=1190243275249390089, tenantId=1146029695717560320, journalId=1189873630562394117, year='2025', volume='50', issue='5', pageStart='505', pageEnd='640', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1761705710470, creator=13701087609, updateTime=1765784077922, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1207349188233372409, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1190243275249390089, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1207349188233372410, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1190243275249390089, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=531, endPage=535, ext={EN=ArticleExt(id=1190310111596872115, articleId=1190310110435049877, tenantId=1146029695717560320, journalId=1189873630562394117, language=EN, title=Applied value of physical motor function assessment system in the risk assessment of recruit training injury, columnId=1190310109000602400, journalTitle=Medical Journal of Chinese People’s Liberation Army, columnName=Clinical Research, runingTitle=null, highlight=null, articleAbstract=
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.
, correspAuthors=Qi Chang, authorNote=null, correspAuthorsNote=
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目的 分析身体运动功能评估(EMPF)系统在新兵军事训练伤风险评估中的应用价值,以期为军事训练提供科学指引和方法选择。方法 选取2016年7月-2018年2月5支基层部队中的527名新兵进行回顾性分析。所有新兵使用EMPF系统进行测试,并通过为期2年的随访记录其军事训练伤的发生情况。将军事训练伤的新兵作为伤病组(n=163),其余作为健康组(n=364),利用ROC曲线评估EMPF总分预测训练伤风险的能力,并采用二元logistic回归分析EMPF各项评分及总分与军事训练伤之间的相关性。结果 伤病组新兵的EMPF总分明显低于健康组[(19.52±1.97)分 vs. (24.31±1.54)分,P<0.001];利用EMPF总分评估训练伤风险具有较高的价值,其ROC曲线下面积为0.971(P<0.001),当截断值为22分时,预测后期发生训练伤的准确度最高,其比值比(OR)为25.63,敏感度为0.939,特异度为0.879,阳性似然比为7.76,验后概率为0.67。二元logistic回归分析显示,EMPF系统的10项测试中,双手持球过顶后仰触背、立位体前屈持球触地、持球弓箭步行走转体、持球后跨步燕式平衡、原地纵跳及呼吸模式评估6项评分与军事训练伤的发生呈明显负相关(P<0.001)。结论 EMPF系统可用于预测军事人员的训练伤风险,EMPF总分低于22分的人员后期更可能罹患军事训练伤。
, correspAuthors=常祺, authorNote=null, correspAuthorsNote=
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魏伟,医学硕士,主治医师,主要从事军事训练伤先进防治技术及战创伤救治先进技术方面的研究
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魏伟,医学硕士,主治医师,主要从事军事训练伤先进防治技术及战创伤救治先进技术方面的研究
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陆军军医大学学报,
2023,
45(20): 2189-2194., articleTitle=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, refAbstract=null)], funds=[Fund(id=1190330439974879776, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, awardId=16CXZ044, language=EN, fundingSource=Special Applied Basic Research Project of Military Medical Innovation Project(16CXZ044), fundOrder=null, country=null), Fund(id=1190330440062960162, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, awardId=16CXZ044, language=CN, fundingSource=军事医学创新工程专项应用基础研究项目(16CXZ044), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1190330434773942725, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, xref=null, ext=[AuthorCompanyExt(id=1190330434782331334, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, companyId=1190330434773942725, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Department of Orthopedics, the 989th Hospital of Chinese PLA/Military Training Medical Research Institute of PLA, Luoyang, Henan 471031, China), AuthorCompanyExt(id=1190330434790719943, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, companyId=1190330434773942725, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=解放军联勤保障部队第989医院骨科/全军军事训练医学研究所,河南洛阳 471031)])], figs=[ArticleFig(id=1190330438792086029, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, language=EN, label=Fig.1, caption=
ROC curve for predicting military training injuries in new recruits using EMPF total score, figureFileSmall=0gA/LQqmKTjNUuD4wlcP3g==, figureFileBig=I2fsK55WHQ2az7poK/wrNQ==, tableContent=null), ArticleFig(id=1190330438896943630, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, language=CN, label=图1, caption=
EMPF总分预测新兵军事训练伤风险的ROC曲线EMPF. 军人身体运动功能评估
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Comparison of demographic data between the two groups of new recruits ($\bar{x}±s$)
, figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 健康组(n=364) | 伤病组(n=163) | t | P |
|---|
| 年龄(岁) | 20.1±1.2 | 20.3±1.2 | 0.134 | 0.772 |
| 身高(m) | 1.72±0.23 | 1.71±0.35 | 0.098 | 0.875 |
| 体重(kg) | 65.4±5.87 | 66.1±4.89 | 0.822 | 0.126 |
| BMI(kg/m2) | 22.18±2.21 | 21.98±1.97 | 0.476 | 0.236 |
), ArticleFig(id=1190330439144407571, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, language=CN, label=表1, caption=
两组参训新兵一般资料比较($\bar{x}±s$)
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| 项目 | 健康组(n=364) | 伤病组(n=163) | t | P |
|---|
| 年龄(岁) | 20.1±1.2 | 20.3±1.2 | 0.134 | 0.772 |
| 身高(m) | 1.72±0.23 | 1.71±0.35 | 0.098 | 0.875 |
| 体重(kg) | 65.4±5.87 | 66.1±4.89 | 0.822 | 0.126 |
| BMI(kg/m2) | 22.18±2.21 | 21.98±1.97 | 0.476 | 0.236 |
), ArticleFig(id=1190330439295402517, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, language=EN, label=Tab.2, caption=
Logistic regression analysis of EMPF sub-item scores and military training injuries in new recruits
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | β | SE | Walds | df | P | OR(95%CI) |
|---|
| 双手持球过顶后仰触背 | -1.737 | 0.458 | 14.403 | 1 | <0.001 | 0.176(0.072~0.432) |
| 立位体前屈持球触地 | -1.264 | 0.323 | 15.346 | 1 | <0.001 | 0.283(0.150~0.532) |
| 持球弓箭步行走转体 | -2.398 | 0.412 | 33.851 | 1 | <0.001 | 0.091(0.041~0.204) |
| 持球后跨步燕式平衡 | -3.236 | 0.507 | 40.769 | 1 | <0.001 | 0.039(0.015~0.106) |
| 原地纵跳 | -2.334 | 0.405 | 33.165 | 1 | <0.001 | 0.097(0.044~0.214) |
| 呼吸模式评估 | -2.095 | 0.373 | 31.584 | 1 | <0.001 | 0.123(0.059~0.256) |
| 常量 | 28.509 | 3.080 | 85.682 | 1 | <0.001 | - |
), ArticleFig(id=1190330439488340503, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, language=CN, label=表2, caption=
EMPF各项评分与新兵军事训练伤情况的logistics回归分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | β | SE | Walds | df | P | OR(95%CI) |
|---|
| 双手持球过顶后仰触背 | -1.737 | 0.458 | 14.403 | 1 | <0.001 | 0.176(0.072~0.432) |
| 立位体前屈持球触地 | -1.264 | 0.323 | 15.346 | 1 | <0.001 | 0.283(0.150~0.532) |
| 持球弓箭步行走转体 | -2.398 | 0.412 | 33.851 | 1 | <0.001 | 0.091(0.041~0.204) |
| 持球后跨步燕式平衡 | -3.236 | 0.507 | 40.769 | 1 | <0.001 | 0.039(0.015~0.106) |
| 原地纵跳 | -2.334 | 0.405 | 33.165 | 1 | <0.001 | 0.097(0.044~0.214) |
| 呼吸模式评估 | -2.095 | 0.373 | 31.584 | 1 | <0.001 | 0.123(0.059~0.256) |
| 常量 | 28.509 | 3.080 | 85.682 | 1 | <0.001 | - |
), ArticleFig(id=1190330439589003801, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, language=EN, label=Tab.3, caption=
Diagnostic performance of different cut-off points for total EMPF scores
, figureFileSmall=null, figureFileBig=null, tableContent=
| EMPF总分(分) | 敏感度 | 特异度 | Youden指数 |
|---|
| 14 | 0 | 1.000 | 0 |
| 15 | 0.031 | 1.000 | 0.031 |
| 16 | 0.080 | 1.000 | 0.080 |
| 17 | 0.129 | 1.000 | 0.129 |
| 18 | 0.282 | 1.000 | 0.282 |
| 19 | 0.509 | 0.997 | 0.506 |
| 20 | 0.706 | 0.992 | 0.698 |
| 21 | 0.828 | 0.970 | 0.798 |
| 22 | 0.939 | 0.879 | 0.818 |
| 23 | 0.982 | 0.709 | 0.691 |
| 24 | 1.000 | 0.448 | 0.448 |
| 25 | 1.000 | 0.242 | 0.242 |
| 26 | 1.000 | 0.069 | 0.069 |
| 27 | 1.000 | 0.008 | 0.008 |
| 28 | 1.000 | 0 | 0 |
), ArticleFig(id=1190330439685472795, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, language=CN, label=表3, caption=
不同EMPF总分截断点分值的诊断效能
, figureFileSmall=null, figureFileBig=null, tableContent=
| EMPF总分(分) | 敏感度 | 特异度 | Youden指数 |
|---|
| 14 | 0 | 1.000 | 0 |
| 15 | 0.031 | 1.000 | 0.031 |
| 16 | 0.080 | 1.000 | 0.080 |
| 17 | 0.129 | 1.000 | 0.129 |
| 18 | 0.282 | 1.000 | 0.282 |
| 19 | 0.509 | 0.997 | 0.506 |
| 20 | 0.706 | 0.992 | 0.698 |
| 21 | 0.828 | 0.970 | 0.798 |
| 22 | 0.939 | 0.879 | 0.818 |
| 23 | 0.982 | 0.709 | 0.691 |
| 24 | 1.000 | 0.448 | 0.448 |
| 25 | 1.000 | 0.242 | 0.242 |
| 26 | 1.000 | 0.069 | 0.069 |
| 27 | 1.000 | 0.008 | 0.008 |
| 28 | 1.000 | 0 | 0 |
), ArticleFig(id=1190330439765164573, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, language=EN, label=Tab.4, caption=
Distribution of injury and illness among recruits with different EMPF total scores (n)
, figureFileSmall=null, figureFileBig=null, tableContent=
| EMPF总分(分) | 伤病情况 | 合计 | 伤病率(%) |
|---|
| 无 | 有 |
|---|
| 合计 | 364 | 163 | 527 | 30.9 |
| >22 | 320 | 10 | 330 | 3.0 |
| ≤22 | 44 | 153 | 197 | 77.7 |
), ArticleFig(id=1190330439853244958, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1190310110435049877, language=CN, label=表4, caption=
不同EMPF总分的新兵伤病情况分布(例)
, figureFileSmall=null, figureFileBig=null, tableContent=
| EMPF总分(分) | 伤病情况 | 合计 | 伤病率(%) |
|---|
| 无 | 有 |
|---|
| 合计 | 364 | 163 | 527 | 30.9 |
| >22 | 320 | 10 | 330 | 3.0 |
| ≤22 | 44 | 153 | 197 | 77.7 |
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