Evidence mapPaperPMID 40201368Full record

ArticleFrontiers in public health2025

The best exercises from top 20 by health-related indicators.

Albertas Skurvydas, Natalja Istomina, Dovilė Valanciene, Ruta Dadeliene, Ieva Egle Jamontaite, Ausra Lisinskiene, Asta Sarkauskiene, Daiva Majauskiene

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Albertas SkurvydasDepartment of Rehabilitation, Physical and Sports Medicine, Institute of Health Sciences, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Natalja IstominaFaculty of Medicine, Institute of Health Sciences, Vilnius University, Vilnius, Lithuania.
Dovilė ValancieneFaculty of Law, Vilnius University, Vilnius, Lithuania.
Ruta DadelieneDepartment of Rehabilitation, Physical and Sports Medicine, Institute of Health Sciences, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Ieva Egle JamontaiteDepartment of Rehabilitation, Physical and Sports Medicine, Institute of Health Sciences, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Ausra LisinskieneEducation Academy, Vytautas Magnus University, Kaunas, Lithuania.
Asta SarkauskieneDepartments of Sports Recreation and Tourism, Klaipėda University, Klaipėda, Lithuania.
Daiva MajauskieneDepartment of Rehabilitation, Physical and Sports Medicine, Institute of Health Sciences, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The study aimed to determine whether participation in professional sports, exercise in a sports/health center, or independent exercise (dependent variables) is associated with 11 health behavior-related indicators (independent variables) compared to having no exercise. Methods: The survey involved 293 professional Lithuanian athletes, 2,120 who exercise independently or in a sports/health centre and perform at least one of the 20 most popular exercise types in Lithuania (hereafter referred to as "E-20"), and 3,400 who do not exercise. The participants were aged 18-74 years. Results: The study uniquely examines a comprehensive range of 11 health-related indicators: body mass index, subjective health, depressed mood, stress, sedentary behavior, physical activity, sleep, alcohol consumption, smoking, overeating, and breakfast consumption. We examined whether these indicators differ between the three populations studied, whether they are associated with specific types of the E-20 exercises, and whether these patterns differ between men and women. Conclusion: Our study indicates that participants who engaged in physical activity generally scored higher on various health-related scales compared to those who were inactive. These benefits include reductions in depressed mood, stress, body mass index, and binge eating, as well as improvements in the regularity of breakfast consumption, vigorous physical activity, moderate to vigorous physical activity, and sleep duration (notably in men).

Indexed as

AthletesExerciseHealth BehaviorHealth Status IndicatorsAdolescentAdultAgedBody Mass IndexFemaleHumansLithuaniaMaleMiddle AgedSedentary BehaviorSurveys and QuestionnairesYoung Adultathletesbehavior indicatorsexercisehealth indicatorsphysical activity

Identifiers

PMID40201368
PMCPMC11975573

What Socratic 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 Socratic graph.