Evidence map›Paper›PMID 35783368›Full record

ReviewSports medicine and health science2021

Glycemic variability: Importance, relationship with physical activity, and the influence of exercise.

Joshua R Sparks, Erin E Kishman, Mark A Sarzynski, J Mark Davis, Peter W Grandjean, J Larry Durstine, Xuewen Wang

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Sports medicine and health science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 8% of its field
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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The Effect of Acerola Intake on Metabolic and Immunological Parameters in Elite Athletes.Plant foods for human nutrition (Dordrecht, Netherlands) · 2025
    Article
  9. Proposed Practical Guidelines to Improve Glycaemic Management by Reducing Glycaemic Variability in People with Type 1 Diabetes Mellitus.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
  10. Advances in laboratory medicine · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

7 authors at 3 institutions in 1 country.

Joshua R SparksReproductive Endocrinology and Women's Health Laboratory, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States.
Erin E KishmanDepartment of Exercise Science, Noman J. Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Mark A SarzynskiDepartment of Exercise Science, Noman J. Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
J Mark DavisDepartment of Exercise Science, Noman J. Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Peter W GrandjeanDepartment of Health, Exercise Science, and Recreation Management, School of Applied Sciences, University of Mississippi, Oxford, MS, United States.
J Larry DurstineDepartment of Exercise Science, Noman J. Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Xuewen WangDepartment of Exercise Science, Noman J. Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
University of South Carolina · USPennington Biomedical Research Center · USUniversity of Mississippi · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycemic variability is a more sensitive assessment of glycemic health as opposed to traditional clinical measurements. It considers all blood glucose concentrations over a given period to better account for glucose oscillations that occur and provides clinicians with insight into how individuals regulate and/or maintain their glycemic health. The advancement of continuous glucose monitoring (CGM) allows for the measurement of free-living glucose concentrations while providing a more reliable assessment of treatment of dysregulated glycemic. CGM coupled with management of lifestyle behavioral factors, such as reduced sedentary behavior and increased physical activity and regular exercise, potentially offers a previously untapped method for promoting improved glycemic health through greater regulation of glucose concentrations. The aim of this review is to critically evaluate the evidence regarding the measurement of glycemic variability and summarize the current understanding of the relationship between glycemic variability, sedentary behavior, physical activity, the influence of a single exercise session or repeated exercise sessions, and exercise training. This review considers information pertaining to the strengths and limitations for measuring glycemic variability and provides insight into future study designs aimed at evaluating the relationship between sedentary behavior and physical activity with, as well as the influence of exercise on, glycemic variability as a primary outcome.

Indexed as

Continuous glucose monitoring (CGM)ExerciseGlycemic controlGlycemic variabilityPhysical activity

Identifiers

PMID35783368
PMCPMC9219280
OpenAlexW3205159945

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.