Xu Kai, Blazevich Anthony J, Boullosa Daniel, Ramirez-Campillo Rodrigo, Yin MingYue, Zhong YuMing, Tian YuHang, Finlay Mitchell, Byrne Paul J, Cuenca-Fernández Francisco, Wang Ran
School of Athletic Performance, Shanghai University of Sport, No. 200, Henren Road, Shanghai, 200438, China.
School of Medical and Health Sciences, Centre for Human Performance, Edith Cowan University, Joondalup, Australia.
Sports Med. 2025 Apr;55(4):977-1008. doi: 10.1007/s40279-024-02170-6. Epub 2025 Jan 24.
Post-activation performance enhancement (PAPE) has demonstrated efficacy in acutely improving athletic performance. However, its distinction from general warm-up (GW) effects remains ambiguous, and experimental designs adopted in most PAPE studies exhibit important limitations.
The aims of this work are to (i) examine the effects of research methodology on PAPE outcomes, (ii) explore PAPE outcomes in relation to comparison methods, performance measures, GW comprehensiveness, recovery duration, participants' characteristics, conditioning activity (CA) parameters, and (iii) make recommendations for future PAPE experimental designs on the basis of the results of the meta-analysis.
Four databases were searched for peer-reviewed English-language literature. Risk of bias was assessed using a modified Cochrane Collaboration's tool and PEDro scale. PAPE groups were compared with control groups, pre-conditioning activity (pre-CA) performances were compared with post-conditioning activity (post-CA) performances throughout a verification test in PAPE groups, and control groups were compared before and after the "rest" period using a three-level meta-analysis. Further analyses, including subgroup analysis and both linear and nonlinear meta-regression methods, were used to explore the effect of different moderating factors on PAPE magnitude. A subgroup analysis of GW comprehensiveness was conducted using four classification methods. One method classified GW as non-comprehensive (stretching or jogging only), partially comprehensive (stretching, jogging, and low-intensity self-weighted dynamic exercises), and comprehensive (adding maximal or near-maximal intensity CAs to a partially comprehensive GW). The other three classifications were adjusted according to the type and number of GW exercises. Certainty of evidence was assessed using the GRADE approach.
The final analysis included 62 PAPE studies (1039 participants, male: n = 857, female: n = 182) with a high risk of bias and low certainty of pooled evidence. A trivial PAPE effect was observed from pre- to post-CA (effect size [ES] = 0.12, 95% CI [0.06 to 0.19], prediction intervals [PI] = - 0.29 to 0.54); a small PAPE effect was observed when compared with a control group (ES = 0.30, 95% CI [0.20 to 0.40], PI [- 0.38 to 0.97]). The slightly greater effect against control resulted from a small decrease in performance in control groups (ES = - 0.08, 95% CI [- 0.13 to - 0.03], PI [- 0.30 to 0.14]), but there was no relationship with between PAPE recovery time (β = - 0.005, p = 0.149). Subgroup analyses showed that PAPE magnitude was greater for non-comprehensive GWs (ES = 0.16) than comprehensive (ES = 0.01) and partially comprehensive GWs (ES = 0.11). In contrast, the control group showed a decline in performance after comprehensive GW (ES = - 0.20). An inverted U-shaped PAPE was noted as a function of recovery time. In some cases, PAPE appeared to manifest at < 1 min post CA. Additionally, participants with longer training experience (ES = 0.36) and higher training levels (ES = 0.38) had larger PAPE magnitudes. PAPE effect was higher in females (ES = 0.51) than males (ES = 0.32) and mixed groups (ES = 0.16) but did not reach a significant difference (p > 0.05). Plyometric exercise (ES = 0.42) induced greater PAPE amplitude than traditional resistance exercise (ES = 0.23), maximal isometric voluntary contraction (ES = 0.31) and other CA types (ES = 0.24).
Although the overall pooled results for both PAPE pre- versus post-CA and PAPE versus control group comparisons showed significant improvement, the wider and past-zero prediction intervals indicate that future studies are still likely to produce negative results. The comprehensiveness of the GW, the time between GW and the pre-CA test, participant sex, training level, training experience, type of CA, number of CA sets, and recovery time after CA all influence the PAPE magnitude. The PAPE magnitude was trivial after comprehensive GW, but it was greater in studies with a control group (i.e., no CA) because performance decreased over the control period, inflating the PAPE effect. Finally, two theoretical models of PAPE experimental design and suggestions for methodological issues are subsequently presented. Future studies can build on this to further explore the effects of PAPE.
The original protocol was prospectively registered (osf.io/v7sbt) with the Open Science Framework.
激活后性能增强(PAPE)已被证明能有效急性提高运动表现。然而,它与一般热身(GW)效果的区别仍不明确,且大多数PAPE研究采用的实验设计存在重要局限性。
本研究的目的是:(i)检验研究方法对PAPE结果的影响;(ii)探讨与比较方法、性能测量、GW全面性、恢复持续时间、参与者特征、调节活动(CA)参数相关的PAPE结果;(iii)根据荟萃分析结果为未来的PAPE实验设计提出建议。
检索四个数据库中的同行评审英文文献。使用改良的Cochrane协作工具和PEDro量表评估偏倚风险。将PAPE组与对照组进行比较,在PAPE组的验证测试中,将预处理活动(pre-CA)表现与后处理活动(post-CA)表现进行比较,并使用三级荟萃分析对对照组在“休息”期前后进行比较。进一步的分析,包括亚组分析以及线性和非线性荟萃回归方法,用于探讨不同调节因素对PAPE幅度的影响。使用四种分类方法对GW的全面性进行亚组分析。一种方法将GW分为非全面性(仅拉伸或慢跑)、部分全面性(拉伸、慢跑和低强度自重动态练习)和全面性(在部分全面性GW中增加最大或接近最大强度的CA)。其他三种分类根据GW练习的类型和数量进行调整。使用GRADE方法评估证据的确定性。
最终分析纳入了62项PAPE研究(1039名参与者,男性:n = 857,女性:n = 182),偏倚风险高,合并证据的确定性低。从pre-CA到post-CA观察到微不足道的PAPE效应(效应量[ES]=0.12,95%CI[0.06至0.19],预测区间[PI]= - 0.29至0.54);与对照组相比观察到较小的PAPE效应(ES = 0.30,95%CI[0.20至`0.40],PI[-0.38至0.97])。与对照组相比效应略大是由于对照组的表现略有下降(ES = - 0.08,95%CI[-0.13至 - 0.03],PI[-0.30至0.14]),但与PAPE恢复时间无关(β = - 0.005,p = 0.149)。亚组分析表明,非全面性GW的PAPE幅度(ES = 0.16)大于全面性(ES = 0.01)和部分全面性GW(ES = 0.11)。相比之下,对照组在全面性GW后表现下降(ES = - 0.20)。观察到PAPE呈恢复时间的倒U形。在某些情况下,PAPE似乎在CA后<1分钟出现。此外,训练经验较长(ES = 0.36)和训练水平较高(ES = 0.38)的参与者的PAPE幅度较大。女性的PAPE效应(ES = 0.51)高于男性(ES = 0.32)和混合组(ES = 0.16),但未达到显著差异(p>0.05)。增强式运动(ES = 0.42)比传统阻力运动(ES = 0.23)、最大等长自主收缩(ES = 0.31)和其他CA类型(ES = 0.24)诱导更大的PAPE幅度。
尽管PAPE的pre-CA与post-CA以及PAPE与对照组比较的总体合并结果显示出显著改善,但更宽且过零的预测区间表明未来的研究仍可能产生阴性结果。GW的全面性、GW与pre-CA测试之间的时间、参与者性别、训练水平、训练经验、CA类型、CA组数以及CA后的恢复时间都会影响PAPE幅度。全面性GW后的PAPE幅度微不足道,但在有对照组(即无CA)的研究中更大,因为在对照期内表现下降,夸大了PAPE效应。最后,随后提出了PAPE实验设计的两个理论模型以及方法学问题的建议。未来的研究可以在此基础上进一步探索PAPE的效果。
原始方案已在开放科学框架上进行前瞻性注册(osf.io/v7sbt)。