Acute Physiological and Perceptual Responses to Six Body-Weight Squat Exercise Variations

Adequate exercise prescription requires a deep understanding of the body's response to exercise. This study explored the responses of heart rate (HR), muscle oxygen saturation (SmO<sub>2</sub>), and perceived exertion (RPE) during six body-weight squat exercise variations. A total of 15 recreationally active participants (age: 28.2 ± 8.0 years; body mass: 71.1 ± 11.2 kg; height: 1.73 ± 0.08 m) were recruited. Six body-weight squat variations (deep, jumping, single-leg, uneven, unstable, and wall-sit) were randomly performed for 90 s. Results revealed that the jumping squat promoted a higher average and peak HR (165.3 ± 14.5 and 146.1 ± 14.8 bpm, respectively), and a lower average SmO<sub>2</sub> and higher deoxygenation SmO<sub>2</sub> in the soleus muscle (40.3 ± 15.4 and 46.0 ± 11.4%, accordingly). No differences were observed in recovery time or in the same SmO<sub>2</sub> derived-parameters in the vastus lateralis muscle. The jumping variation promoted a greater response at a physiological level, both centrally, related to cardiovascular response, and peripherally, related to soleus SmO<sub>2</sub>. It was also the more demanding variation at both the overall and lower limb muscular level of RPE. This holistic view allows a precise identification of the response patterns in body-weight squat exercise variations to an acute session, with a training intervention providing additional information.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2025-03-23
DOI
https://doi.org/10.3390/s25072018
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acute Physiological and Perceptual Responses to Six Body-Weight Squat Exercise Variations

Andréia Teixeira, Daniel Santarém, Jaime E. Sampaio, Catarina Abrantes et al.
Sensors
Sports Performance and Training
article

Acute Physiological and Perceptual Responses to Six Body-Weight Squat Exercise Variations

Andréia Teixeira, Daniel Santarém, Jaime E. Sampaio, Catarina Abrantes, António Amaral
article en

Abstract

Adequate exercise prescription requires a deep understanding of the body's response to exercise. This study explored the responses of heart rate (HR), muscle oxygen saturation (SmO<sub>2</sub>), and perceived exertion (RPE) during six body-weight squat exercise variations. A total of 15 recreationally active participants (age: 28.2 ± 8.0 years; body mass: 71.1 ± 11.2 kg; height: 1.73 ± 0.08 m) were recruited. Six body-weight squat variations (deep, jumping, single-leg, uneven, unstable, and wall-sit) were randomly performed for 90 s. Results revealed that the jumping squat promoted a higher average and peak HR (165.3 ± 14.5 and 146.1 ± 14.8 bpm, respectively), and a lower average SmO<sub>2</sub> and higher deoxygenation SmO<sub>2</sub> in the soleus muscle (40.3 ± 15.4 and 46.0 ± 11.4%, accordingly). No differences were observed in recovery time or in the same SmO<sub>2</sub> derived-parameters in the vastus lateralis muscle. The jumping variation promoted a greater response at a physiological level, both centrally, related to cardiovascular response, and peripherally, related to soleus SmO<sub>2</sub>. It was also the more demanding variation at both the overall and lower limb muscular level of RPE. This holistic view allows a precise identification of the response patterns in body-weight squat exercise variations to an acute session, with a training intervention providing additional information.

SensorsVol. 25(7)
University of Trás-os-Montes and Alto Douro (PT)
Openalex Percentile: Top 93%
Sports Performance and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.