Evidence map›Paper›PMID 37180923›Full record

ArticleHeliyon2023

Moving online: Implementation of virtual sessions of physical activity and movement training as a therapeutic approach to premenstrual symptoms.

David Dal Brun, Giulia Spagnolo, Beatrice Cuni, Angela Favaro, Elena Tenconi, Paolo Meneguzzo

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. 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

6 authors at 1 institution in 1 country.

David Dal BrunDepartment of Linguistic and Literary Studies, University of Padova, Padova, Italy.
Giulia SpagnoloDepartment of Medicine - DIMED, University of Padova, Padova, Italy.
Beatrice CuniDepartment of General Psychology, University of Padova, Padova, Italy.
Angela FavaroDepartment of Neuroscience, University of Padova, Padova, Italy.
Elena TenconiDepartment of Neuroscience, University of Padova, Padova, Italy.
Paolo MeneguzzoDepartment of Neuroscience, University of Padova, Padova, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aerobic exercise and movement training improve premenstrual syndrome (PMS) symptoms in women. However, the data is still preliminary, and online-based training has not been evaluated yet. Thus, this pilot study aims to assess the workability and usefulness of an online protocol based on aerobic exercise and movement training as an intervention for premenstrual symptoms. Methods: A sample of 30 women from the general population was enrolled in this study, with an average age of 28.27 ± 9.35, and an average BMI of 23.47 ± 3.42 kg/m Results: Significant improvements in PMS (p = .015) and mood (p = .011) were recorded, with specific mood effects related to PMS symptomatology. The patients provided positive feedback on the protocol, and adherence was optimal. Conclusion: The effectiveness of a combination of aerobic and isometric exercises was confirmed as a valuable tool in improving women's well-being and reducing premenstrual symptomatology, even if the protocol is delivered online, which tends to be more affordable for the participants than in-presence sessions. Future studies might assess the difference between online programs and face-to-face interventions.

Indexed as

Aerobic exerciseOnline trainingPremenstrual dysphoric disorderPremenstrual syndromeYoga

Identifiers

PMID37180923
PMCPMC10173597
OpenAlexW4367043326

What OpenQuestion 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 OpenQuestion graph.