Tehan Peta Ellen, Sadler Sean George, Lanting Sean Michael, Chuter Vivienne Helaine
1School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Ourimbah, NSW 2258 Australia.
2Priority Research Centre for Physical Activity and Nutrition, Univeristy of Newcastle, Callaghan, 2308 NSW Australia.
J Foot Ankle Res. 2018 Nov 26;11:63. doi: 10.1186/s13047-018-0309-7. eCollection 2018.
Whilst post exercise ankle-brachial indices (ABI) are commonly used to help identify peripheral arterial disease (PAD), the role of post exercise toe pressures (TP) or toe-brachial indices (TBI) is unclear The aim of this study was to determine, in a population without clinical signs of PAD, the effect that 30 s of weight-bearing heel raises has on TP and TBI values. Additionally, the ability of resting TP and TBI values to predict change in post-exercise values using the heel raise method was investigated.
Participants over the age of 18 with a resting TBI of ≥0.60 and ABI between 0.90 and 1.40, without diabetes, history of cardiovascular disease and not currently smoking were included. Following ten minutes of supine rest, right TP and bilateral brachial pressures were performed in a randomized order using automated devices. Participants then performed 30 s of weight-bearing heel raises, immediately after which supine vascular measures were repeated. Data were assessed for normality using the Shapiro-Wilk test. For change in TP and TBI values the Wilcoxon Signed-Rank Test was performed. For correlations between resting and change in post exercise values, the Spearman Rank Order Correlations were performed, and where significant correlation identified, a linear regression undertaken.
Forty-eight participants were included. A statistically significant decrease was seen in the median TP from resting 103.00 mmHg (IQR: 89.00 to 124.75) to post exercise 98.50 mmHg (IQR: 82.00 to 119.50), z = - 2.03, = 0.04. This difference of 4.50 mmHg represents a 4.37% change and is considered a small effect size ( = 0.21). The median TBI also demonstrated a statistically significant decrease from resting 0.79 (IQR: 0.68 to 0.94) to post exercise 0.72 (IQR: 0.60 to 0.87), z = - 2.86, = < 0.01. This difference of 0.07 represents an 8.86% change and is considered a small effect size ( = 0.29). Linear regression demonstrated that resting TBI predicted 22.4% of the variance in post exercise TBI, = < 0.01, coefficients beta - 0.49.
Thirty seconds of weight-bearing heel raises resulted in a similar decrease in TBI values seen in longer periods of exercise. TP values also showed a decrease post exercise; however this was contrary to previous studies.
虽然运动后踝臂指数（ABI）常用于帮助识别外周动脉疾病（PAD），但运动后趾压（TP）或趾臂指数（TBI）的作用尚不清楚。本研究的目的是在无PAD临床体征的人群中，确定30秒负重提踵对TP和TBI值的影响。此外，还研究了静息TP和TBI值预测使用提踵法运动后值变化的能力。
纳入年龄在18岁以上、静息TBI≥0.60且ABI在0.90至1.40之间、无糖尿病、无心血管疾病史且目前不吸烟的参与者。仰卧休息10分钟后，使用自动设备以随机顺序测量右侧TP和双侧肱动脉压。参与者随后进行30秒的负重提踵，之后立即重复仰卧位血管测量。使用Shapiro-Wilk检验评估数据的正态性。对于TP和TBI值的变化，进行Wilcoxon符号秩检验。对于静息值与运动后值变化之间的相关性，进行Spearman等级相关分析，若发现显著相关，则进行线性回归分析。
共纳入48名参与者。TP中位数从静息时的103.00 mmHg（四分位间距：89.00至124.75）降至运动后的98.50 mmHg（四分位间距：82.00至119.50），差异具有统计学意义，z = -2.03，P = 0.04。这4.50 mmHg的差异代表4.37%的变化，被认为是小效应量（r = 0.21）。TBI中位数也显示出从静息时的0.79（四分位间距：0.68至0.94）降至运动后的0.72（四分位间距：0.60至0.87），差异具有统计学意义，z = -2.86，P < 0.01。这0.07的差异代表8.86%的变化，被认为是小效应量（r = 0.29）。线性回归分析表明，静息TBI可预测运动后TBI 22.4%的方差，P < 0.01，系数β为 -0.49。
30秒的负重提踵导致TBI值下降，与较长时间运动时的下降情况相似。运动后TP值也有所下降；然而，这与先前的研究结果相反。
