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Related Concept Videos

Exercise and Muscle Performance01:27

Exercise and Muscle Performance

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Exercise induces a range of adaptations in muscle tissue, depending on the type and duration of activity. Such physical training can be broadly categorized into two types: endurance exercises and resistance exercises.
Endurance exercises
Endurance exercises involve running, swimming, or cycling, which require repetitive movements with low force output. When a person engages in endurance exercise, a few noticeable changes occur in their skeletal muscles. For instance, the number of capillaries...
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Related Experiment Video

Updated: Jun 4, 2025

A Real-World High-Intensity Interval Training Protocol for Cardiorespiratory Fitness Improvement
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A PubMed search filter for efficiently retrieving exercise training studies.

Dawei Yin1, Mikaela V Engracia1, Matthew K Edema1

  • 1Department of Biomedical Physiology and Kinesiology, 8888 University Dr., Burnaby, BC, V5A 1S6, Canada.

BMC Medical Research Methodology
|December 18, 2024
PubMed
Summary
This summary is machine-generated.

A new PubMed search filter helps find exercise training studies more efficiently. This tool improves access to evidence for exercise programming, enhancing clinical practice.

Keywords:
Evidence-based practiceExercise trainingInformation storage and retrievalKinesiologyPubMedSearch filterSearch hedge

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Area of Science:

  • Exercise Science
  • Medical Informatics
  • Library Science

Background:

  • Locating studies on exercise training programs is a significant barrier to evidence-informed exercise programming.
  • Developing a specialized search filter for the PubMed database is crucial for improving access to relevant research.

Purpose of the Study:

  • To create and validate a search filter specifically designed for identifying studies on exercise training programs within PubMed.

Main Methods:

  • Candidate search terms were identified using MeSH terms, word frequency analysis of a reference set, and retrospective searching.
  • An exercise training search filter was assembled and tested against a basic search string using six case studies.
  • Performance was evaluated based on sensitivity (relative recall), precision, and number needed to read (NNR), aiming for relative recall ≥85% and NNR ≥2.

Main Results:

  • The reference set comprised 71 articles from six systematic reviews.
  • Twenty-one search terms were included in the finalized exercise-training search filter.
  • The filter achieved 96% relative recall and a mean precision of 54% ±16%, with an NNR of approximately 2, outperforming a basic search string.

Conclusions:

  • The developed exercise training search filter significantly enhances the efficiency of searching for exercise training studies in PubMed.
  • This tool supports evidence-informed practice in exercise programming by facilitating better access to relevant research.