Military Performance Division, USARIEM, Natick, MA.
Med Sci Sports Exerc. 2018 May;50(5):987-994. doi: 10.1249/MSS.0000000000001523.
Low back pain (LBP) and lower-extremity injuries (LEI) are primary reasons for lost duty days and disability among military populations.
This study examined acute LEI as a risk factor for developing LBP and examined the time to incident LBP between individuals with and without a history of LEI.
This retrospective cohort study examined U.S. Army medical and personnel data from the Total Army Injury and Health Outcomes Database for the years 2007 to 2011. Andersen-Gill Cox regression methods were used to examine the change in LEI status over time and changes in demographic covariates. Adjusted hazard ratios (HR) for LBP after LEI were calculated from the Cox regression model for each calendar year. An accelerated failure time (AFT) model was used to describe time to LBP, and mean time to event and adjusted time ratios (TR) after LEI were calculated from the AFT model for each year. Overall HR and TR for LBP after LEI were calculated over the five calendar years using variance-based weighted averages.
Each yearly analysis included an average of 213,307 soldiers; on average for each year 8.44% of soldiers developed LBP and 11.54% had previous LEI. The pooled TR showed soldiers with a LEI had a 10% decrease in mean survival times to LBP compared to those without a LEI (TR, 0.901; 95% confidence interval, 0.897-0.905). The weighted average HR showed that soldiers with a LEI had 1.7 times the hazard of LBP compared with those without LEI (HR, 1.70; 95% confidence interval, 1.66-1.74).
These findings suggest that a potential second-order effect of LEI is an increased short-term risk for developing LBP, which should be considered during rehabilitation planning.
下腰痛(LBP)和下肢损伤(LEI)是军事人群失去工作天数和残疾的主要原因。
本研究探讨了急性 LEI 作为发生 LBP 的危险因素,并检查了有无 LEI 病史的个体之间发生 LBP 的时间。
本回顾性队列研究使用从 2007 年至 2011 年美国陆军全军伤病和健康结果数据库中的医疗和人员数据。使用 Andersen-Gill Cox 回归方法检查 LEI 状态随时间的变化以及人口统计学协变量的变化。从 Cox 回归模型中计算出 LEI 后发生 LBP 的调整后的危险比(HR)。使用加速失效时间(AFT)模型来描述 LBP 的时间,并从 AFT 模型计算出每年发生 LBP 的平均时间和调整后的时间比(TR)。使用基于方差的加权平均值计算出 LEI 后五年的总体 LBP HR 和 TR。
每年的分析平均包括 213307 名士兵;平均每年有 8.44%的士兵发生 LBP,11.54%的士兵有先前的 LEI。汇总的 TR 显示,与没有 LEI 的士兵相比,患有 LEI 的士兵发生 LBP 的平均生存时间缩短了 10%(TR,0.901;95%置信区间,0.897-0.905)。加权平均 HR 显示,患有 LEI 的士兵发生 LBP 的危险是没有 LEI 的士兵的 1.7 倍(HR,1.70;95%置信区间,1.66-1.74)。
这些发现表明,LEI 的潜在二阶效应是发生 LBP 的短期风险增加,这在康复计划中应予以考虑。