journal article·2020-04-14Open access

Pressure Applied during Deep Friction Massage: Characterization and Relationship with Time of Onset of Analgesia

Paula Chaves, Daniela Simões, Maria Paço, Francisco Pinho, José Alberto Duarte, Fernando Ribeiro

Applied Sciences· Volume 10· Issue 8

Abstract

This study aims to determine if a dose–response relationship exists between the pressure applied during deep friction massage (DFM) and the time to the onset of analgesia in an asymptomatic patellar tendon. For this purpose, pressures applied by physiotherapists during DFM (study 1) were characterized and then, based on these pressures, the effects of different DFM pressures on the time to the onset of analgesia were assessed (study 2). First, the mean pressure applied by 40 physiotherapists during a DFM session was assessed with a pressure sensor through an observational, cross-sectional and analytical study. Next, the effects of different pressure intensities (the median, the percentile 25 (P25), and the percentile 75 (P75) of the mean pressure obtained in study 1) were studied in a crossover trial enrolling 30 participants with an asymptomatic patellar tendon. A pressure sensor was used to register the pressures applied during DFM. Our main results indicated that the physiotherapists applied pressures with a wide variation ((mean pressure: 2.317 kg/cm2 (P25: 1.022 kg/cm2; P75: 4.161 kg/cm2)). It was also shown that higher pressures had shorter times to the onset of analgesia (pressure: 1 kg/m2, time to the onset of analgesia: 67.0 s (P25: 84.5 s; P75: 113.5 s); pressure: 2.3 kg/m2, time to the onset of analgesia: 59.0 s (P25: 73.5 s; P75: 87.3 s); pressure: 4.2 kg/m2, time to the onset of analgesia: 37.8 s (P25: 54.0 s; P75: 62.0 s)) (p ≤ 0.001). In conclusion, the mean DFM pressure obtained by the physiotherapists was 2.3 kg/cm2 (P25: 1.02 kg/cm2; P75: 4.16 kg/cm2). Higher pressures of DFM resulted in shorter times to the onset of analgesia.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Tendon Structure and Treatment · Shoulder Injury and Treatment · Sports injuries and prevention

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

CESPU, Institute of Research and Advanced Training in Health Sciences and Technologies, 4585-116 Gandra-Paredes, Portugal

Santa Maria Health School, 4049-024 Porto, Portugal

Applied Artificial Intelligence Laboratory (2AI), IPCA-Instituto Politécnico do Cávado e do Ave, 4750-810 Barcelos, Portugal

Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, 4200-450 Porto, Portugal

Institute of Biomedicine-iBiMED, School of Health Sciences, University of Aveiro, 3810-193 Aveiro, Portugal

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