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[1]范志刚,夏巍巍,潘森鑫,等.某部新兵跖骨行军骨折风险因素的多元logistic回归分析[J].医学研究与战创伤救治(原医学研究生学报),2017,19(05):484-487.[doi:10.3969/j.issn.1672-271X.2017.05.009]
　FAN Zhi-gang,XIA Wei-wei,PAN Sen-xin,et al.Multivariate logistic regression analysis of risk factors for fracture of metatarsal bones in recruits[J].JOURNAL OF MEDICALRESEARCH —COMBAT TRAUMA CARE,2017,19(05):484-487.[doi:10.3969/j.issn.1672-271X.2017.05.009]
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某部新兵跖骨行军骨折风险因素的多元logistic回归分析()
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《医学研究与战创伤救治》（原医学研究生学报）[ISSN:1672-271X/CN:32-1713/R]

卷:
第19卷
期数:
2017年05期
页码:
484-487
栏目:
出版日期:
2017-09-29

文章信息/Info

Title:
Multivariate logistic regression analysis of risk factors for fracture of metatarsal bones in recruits
作者:
范志刚; 夏巍巍; 潘森鑫; 刘美霞
作者单位：212001镇江，解放军第359医院放射科
Author(s):
FAN Zhi-gang;  XIA Wei-wei;  PAN Sen-xin;  LIU Mei-xia
(Radiology Department,the 359th Hospital of PLA,Zhenjiang 212001,Jiangsu,China)
关键词:
跖骨; 行军骨折; logistic回归; 风险因素
Keywords:
Metatarsal bone; Marching fracture; Logistic regression; Risk factors
分类号:
R683.42
DOI:
10.3969/j.issn.1672-271X.2017.05.009
文献标志码:
A
摘要:
目的 探讨新兵战士跖骨行军骨折的风险因素，为部队建立新兵战士健康预警机制和防治提供依据。方法 采用多元logistic回归法对东部战区某部新兵战士身高、体重、训练时间、跖骨长度、跖骨宽度、跖骨密度、足弓高度、骨龄等风险因素进行逐层筛选分析。结果 跖骨宽度、跖骨密度、足弓高度、骨龄为跖骨行军骨折的消极因素。而训练时间、跖骨长度为跖骨行军骨折的积极因素。进一步的结果 显示训练时间、跖骨长度、跖骨宽度、足弓高度可进入logistic回归模型，且回归模型对数据的拟合度较好（P＝0.847），具有统计学意义（χ2=52.449，P＜0.001）。结论 多个因素参与行军骨折的发病过程，其风险因素应得到重视，以此建立有效的预防预警措施，减低跖骨行军骨折在新兵战士群体中的发病率。
Abstract:
Objective To explore the risk factors of the metatarsal fracture of the new recruits, and to provide evidence for the establishment of early warning mechanism and prevention and control of recruits.Methods The training time, height, weight, metatarsal length, metatarsal width, arch height of metatarsal, bone density and bone age of the eastern theater recruits were screened by layer regression analysis method with multiple logistic.Results The width of metatarsal bone, the density of metatarsal bone, the height of arch, and the bone age were the negative factors of metatarsal fractures, while the training time and the length of metatarsal bone were the positive factors. Further Results showed that the training time, metatarsal length, metatarsal width and arch height of metatarsal could enter the logistic regression model which fit the data well (P=0.847) with statistical significance (χ2=52.449, P<0.001).Conclusion Many factors were involved in the process of the progression of the fracture; The risk factors should be paid more attention so as to establish effective preventive measures to reduce the incidence of metatarsal fractures in recruits.

参考文献/References:

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备注/Memo

备注/Memo:
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更新日期/Last Update: 2017-09-20