Resistance Training for Strength: Effect of Number of Sets and Contraction Speed
Abstract
Purpose To compare effects on strength in the early phase of resistance training with one or three sets and fast or slow speeds. Methods A total of 115 healthy, untrained subjects were randomized to a control group or one of four training groups: one set fast (approximately 140 degrees.s(-1)), three sets fast, one set slow (approximately 50 degrees.s(-1)), or three sets slow. All subjects attended training 3 x wk(-1) for 6 wk. Subjects in the training groups performed unilateral elbow flexion contractions with a target six- to eight-repetition maximum load. Control subjects sat at the training bench but did not train. One repetition maximum strength, arm circumference, and biceps skinfold thickness were measured before and after training. Results One slow set increased strength by 25% (95% CI 13-36%, P Conclusions Three sets of exercise produce twice the strength increase of one set in the early phase of resistance training. Training fast produces greater strength increases than training slow; however, there does not appear to be any additional benefit of training with both three sets and fast contractions.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Few studies have equated work volume between different training groups.
“Thus, few studies have equated work volume between the diff erent training groups [ 10 , 17 , 19 , 25 , 26 , 40 ]”
From Effect of Movement Velocity during Resistance Training on Neuromuscular Performance (2014) · cites this paper as [26]
Some isoinertial studies comparing fast- vs. slow-velocity training on strength found greater strength gains when performing repetitions at fast velocities.
“some found greater strength gains when performing the repetitions at fast velocities [ 17 , 20 , 25 -27 ]”
From Effect of Movement Velocity during Resistance Training on Neuromuscular Performance (2014) · cites this paper as [26]
Most previous studies identified movement velocity with lifting cadence.
“and most studies identifi ed movement velocity with lifting cadence [ 10 , 25 , 26 , 28 , 30 , 35 , 40 ]”
From Effect of Movement Velocity during Resistance Training on Neuromuscular Performance (2014) · cites this paper as [26]
The citation lists haven’t been fetched yet
References 33 · Cited by 132
- Authors
- MUNN, J., HERBERT, R. D., HANCOCK, M. J., & GANDEVIA, S. C.
- Affiliations
- The University of Sydney (AU)
- UNSW Sydney (AU)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2005-09
- Volume
- 37
- Issue
- 9
- Pages
- 1622-1626
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2006850024
- Cited by
- 132
- References
- 33
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 6 · 2023: 6 · 2022: 4 · 2021: 4 · 2020: 6 · 2019: 5 · 2018: 2 · 2017: 5 · 2016: 9 · 2015: 11 · 2014: 9 · 2013: 8 · 2012: 9
- FWCI
- 4.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Cross Connect (Southern Cross University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Muscle metabolism and nutrition
- Keywords
- resistance training, training data, contraction velocity, muscle strength, elbow flexion, one-repetition maximum, untrained subjects, arm circumference
- MeSH terms
- Adaptation, Physiological, Adult, Arm, Female, Humans, Male, Muscle Contraction, Physical Education and Training, Skinfold Thickness, Weight Lifting, Muscle, Skeletal
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review