Evidence map›Paper›PMID 41646180›Full record

ArticleSports medicine and health science2026

ATLAS study: Design, athletic performance, and sex-specific regression models for muscle strength in the Greek population.

Natia A Pogosova, Despoina Brekou, Ioanna E Gavra, Efthymia A Katsareli, Eleni More, Panagiotis G Symianakis, Maria Kafyra, Ioanna Panagiota Kalafati, Giannis Arnaoutis, George V Dedoussis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sports medicine and health science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Natia A PogosovaDepartment of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.
Despoina BrekouDepartment of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.
Ioanna E GavraDepartment of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.
Efthymia A KatsareliDepartment of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.
Eleni MoreDepartment of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.
Panagiotis G SymianakisDepartment of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.
Maria KafyraDepartment of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.
Ioanna Panagiota KalafatiDepartment of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.
Giannis ArnaoutisDepartment of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.
George V DedoussisDepartment of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17671, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: ATLAS is a cross-sectional study aiming to investigate environmental and genetic determinants of athletic performance in healthy Greek competitive athletes (CA). This article presents the study design, investigates the muscle strength performance (MSP) of 289 adult and teenage CA, exercisers, and physically inactive individuals (PI), and proposes predictive models of MSP for adults. Methods: Muscle maximal, speed, and explosive strength (MMS/MSS/MES) at unilateral maximal concentric flexion and extension contraction (FC/EC) were evaluated using Biodex System 3 PRO™ at 60 °/s, 180 °/s, and 300 °/s, while additional performance markers were assessed through field ergometric testing. Participants were interviewed about their lifestyle, dietary habits, physical activity, injury, and medical history. Body composition was assessed via bioelectrical impedance. gDNA was extracted from biochemical samples and then genotyped. Statistical analysis was conducted using IBM SPSS Statistics v21.0 and R. Results: Age, fitness, and sex impacted correlations of MSP with body composition and anthropometric measurements ( Conclusions: Muscle-strengthening strategies should be customized according to individual fitness levels, body composition, and anthropometric measurements. The innovative sex-specific regression models assessing MMS, MSS, and MES at EC and FC provide a framework for personalizing rehabilitation and skill-specific training strategies.

Indexed as

Athletic performanceBody compositionGreek populationIsokinetic dynamometerMuscle strength performancePredictive models

Identifiers

PMID41646180
PMCPMC12869047

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.