Evidence map›Paper›PMID 31798463›Full record

ArticleFrontiers in physiology2019

Evaluating Individual Level Responses to Exercise for Health Outcomes in Overweight or Obese Adults.

Leanna M Ross, Cris A Slentz, William E Kraus

Abstract read
In one paragraph

Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Evaluating individual level change in physical function response following an exercise program for cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Leanna M RossDuke University Medical Center, Duke Molecular Physiology Institute, Durham, NC, United States.
Cris A SlentzDuke University Medical Center, Duke Molecular Physiology Institute, Durham, NC, United States.
William E KrausDuke University Medical Center, Duke Molecular Physiology Institute, Durham, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding group responses to a given exercise exposure is becoming better developed; however, understanding of individual responses to specific exercise exposures is significantly underdeveloped and must advance before personalized exercise medicine can become a functional reality. Herein, utilizing data from the STRRIDE studies, we address some of the key issues surrounding our efforts to develop better understanding of individual exercise responsiveness.

methodsWe assessed individual cardiometabolic and cardiorespiratory fitness responses in subjects successfully completing STRRIDE I (

resultsFor subjects completing one of the aerobic training programs, change in peak VO

conclusionOur findings illustrate the unclear relationship between magnitude of individual response for a given outcome with training adherence and specific exercise exposure. These discordant and heterogeneous responses highlight the difficult nature of developing understanding for how individuals will respond to any given exposure. Further investigation into the biological, physiological, and genetics factors affecting individual responsiveness is vital to making personalized exercise medicine a reality.

Indexed as

cardiovascular healthexercise prescriptionindividual variationlifestyle medicineprecision medicinetraining response

Identifiers

PMID31798463
PMCPMC6867965

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.