Evidence map›Paper›PMID 39165256›Full record

ArticleJournal of multidisciplinary healthcare2024

Music and Caffeine Intake Effects on Gait, and Its Relationship with Psychological Parameters, in Middle-Aged Women.

Mohammed Issa Alsaeed, Fatma Ben Waer

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. 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

2 authors.

Mohammed Issa AlsaeedDepartment of Biomechanics & Motor Behavior, College of Sport Science & Physical Activity, King Saud University, Riyadh, Saudi Arabia.
Fatma Ben WaerResearch Laboratory Education, Motricité, Sport et Santé, LR19JS01, High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to explore the combined effects of caffeine intake and listening to music on walking parameters, and its relationship with psychological variables (fatigue and exercise enjoyment) in middle-aged women. Patients and Methods: Sixteen healthy middle-aged women, aged between 50 and 60 years old, participated in this study. Their walking parameters (distance, number of steps, steps number/minute, cadence and walking speed) were assessed using the 6-minute walking test (6MWT) in four task conditions: in no-music/no-caffeine, no-music/with caffeine, with music/no-caffeine, and with music/with caffeine conditions. Besides, exercise enjoyment and fatigue were evaluated using the Physical Activity Enjoyment Scale (PACES-8) and rating of perceived exertion (RPE) questionnaires, respectively. Results: As a result, we found that 100 mg of caffeine intake significantly (p < 0.05) improved walking parameters such as distance, cadence and number of steps during both simple (p < 0.05) and dual-task, while listening to preferred music, where optimal results were found (p < 0.01) with a large effect size (η2p >0.14). Listening to music was sufficient to significantly improve the distance (p < 0.001), cadence (p < 0.001), and walking speed (p < 0.05) values. Besides, both caffeine intake and/or listening to music significantly (p < 0.05 with large effect size (η2p >0.14)) decreased the feeling of fatigue and increased exercise enjoyment while walking in healthy middle-aged women. Conclusion: In conclusion, caffeine intake seems to positively influence gait capacities, and its combined effects with listening to music, mainly preferred ones, would boost these beneficial effects in middle-aged women.

Indexed as

agingauditory stimulusexercise enjoymentfatiguesupplementswalking parameters

Identifiers

PMID39165256
PMCPMC11334914

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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.