Evidence map›Paper›PMID 39120242›Full record

ReviewHealthcare (Basel, Switzerland)2024

Tailored Physical Activity Interventions for Long COVID: Current Approaches and Benefits-A Narrative Review.

Guhua Jia, Chun-Hsien Su

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
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

2 authors.

Guhua JiaSports Teaching Department, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China.
Chun-Hsien SuDepartment of Exercise and Health Promotion, Chinese Culture University, Taipei City 111369, Taiwan.ORCID 0000-0003-2331-7927

Funding

Beijing Jingti da Culture Development Co. , Ltd. Grant No. HXXM-18-10-006
6 · The paper itself

Abstract

This narrative review explores the essential role of physical activity in managing long COVID, which is characterized by persistent symptoms such as fatigue, breathlessness, and cognitive impairments following SARS-CoV-2 infection. In this context, "physical activity" includes various exercises, such as aerobic and resistance training, as well as flexibility and balance exercises, thereby encompassing the subset known as "exercise". The methodology involved a comprehensive literature search across PubMed, EBSCO (EDS), and Google Scholar, selecting peer-reviewed articles from December 2019 to June 2024 focusing on long COVID physical activity interventions. The review highlights that tailored exercise programs, adjusted to individual health status and abilities, significantly alleviate symptoms and enhance psychological well-being. Key findings emphasize the importance of personalized exercise prescriptions due to the variability in patient responses and the need for a multidisciplinary approach in developing and monitoring interventions. Despite promising outcomes, the review identifies research gaps, including the need for long-term studies, randomized controlled trials, and deeper mechanistic insights. It suggests that standardized reporting, templates like the Consensus on Exercise Reporting Template (CERT), and integrating digital health tools are essential for optimizing interventions. Overall, the review advocates including personalized physical activity or exercise programs in standard care for long COVID to improve patient outcomes and quality of life.

Indexed as

dyspneaexercise therapyfatiguelife qualitystamina

Identifiers

PMID39120242
PMCPMC11311891

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.