Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,360

The DOI matches its Crossref record.

Designing Resistance Training Programs

Fleck, Steven J., Kraemer, William J.·2014·Human Kinetics eBooks

Abstract

Designing Resistance Training Programs, Fourth Edition, is a guide to developing individualized training programs for both serious athletes and fitness enthusiasts. Two of the world’s leading experts on strength training explore how to design scientifically based resistance training programs, modify and adapt programs to meet the needs of special populations, and apply the elements of program design in the real world. The fourth edition presents the most current information while retaining the studies that are the basis for concepts, guidelines, and applications in resistance training. Meticulously updated and heavily referenced, the fourth edition contains the following updates: A full-color interior provides stronger visual appeal.Sidebars focus on a specific practical question or an applied research concept, allowing readers to connect research to real-life situations.Multiple detailed tables summarize research from the text, offering an easy way to compare data and conclusions.A glossary makes it simple to find key terms in one convenient location.Newly added instructor ancillaries make the fourth edition a true learning resource for the classroom (available at www.HumanKinetics.com/DesigningResistanceTrainingPrograms). Designing Resistance Training Programs, Fourth Edition, is an essential resource for understanding and applying the science behind resistance training for any population.

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5040/9781718225107

Cites

Statistics

Verification

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.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,360

Metadata

Authors
Fleck, S. J., & Kraemer, W. J.
Venue
Human Kinetics eBooks
Published
2014
OpenAlex
W1542830531
Cited by
1,360
References
0
FWCI
66.33
Type
book
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Designing Resistance Training Programs. https://app.cochat.ai/papers/10.5040/9781718225107
The paper
Fleck, S. J., & Kraemer, W. J. (2014). Designing Resistance Training Programs. Human Kinetics eBooks. https://doi.org/10.5040/9781718225107

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.