Strength testing or strength training: considerations for future research
Open accessAbstract
Maximal strength testing is often performed to assess the efficacy of training programs or as a way to prescribe exercise load. Generally, it is believed that high load exercise is superior to low load exercise at increasing absolute strength, however this is not always the case (i.e. strength increases similarly between groups). We hypothesized that some of the discrepancy in the literature may be related to performing the strength test itself. To investigate this further we reviewed the literature looking for studies comparing high load and low load exercise. The included studies were separated into ‘no extra practice’ and ‘practice’. No extra practice means the strength test was only performed at pre and post whereas practice refers to additional strength tests performed throughout the training intervention. Our results indicated that the differences between high load and low load exercise can be reduced when the group training with a low load is allowed additional exposure to the maximal strength test. This suggests that repeated exposure to strength tests may augment low load training adaptations and influence the outcomes. We discuss potential moderators of this relationship (e.g. how low is the low load, complexity of the skill) and offer considerations for future research. Based on this it would be recommended that when investigating the effects of low load training strength tests should be limited to pre and post intervention or if a control group is utilized then the control group should receive the same number of exposures to the strength test.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 50 · Cited by 31
- Authors
- Spitz, R. W., Bell, Z. W., Wong, V., Yamada, Y., Song, J. S., Buckner, S. L., Abe, T., & Loenneke, J. P.
- Affiliations
- University of Mississippi (US)
- University of South Florida (US)
- ORCID
- Venue
- Physiological Measurement
- Publisher
- IOP Publishing
- Published
- 2020-09-01
- Volume
- 41
- Issue
- 9
- Pages
- 09TR01
- ISSN
- 0967-3334 (ISSN-L)
- 1361-6579
- OpenAlex
- W3080690618
- Cited by
- 31
- References
- 50
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 3 · 2023: 5 · 2022: 3 · 2021: 7 · 2020: 1
- FWCI
- 0.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Physiological Measurement (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
- Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Keywords
- resistance training, low-load exercise, strength training adaptation, control group design
- MeSH terms
- Adaptation, Physiological, Exercise Test, Humans, Muscle Strength, Resistance Training
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