Evidence mapPaperPMID 41599834Full record

ReviewNutrients2026

Identifying Chronotype for the Preservation of Muscle Mass, Quality and Strength.

Roberto Barrientos-Salinas, Norma Dahdah, Jorge Alvarez-Luis, Nuria Vilarrasa, Pablo M Garcia-Roves

Abstract readReview
In one paragraph

Review in Nutrients, 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

5 authors.

Roberto Barrientos-SalinasDepartment of Physiological Sciences, Universitat de Barcelona, 08907 Barcelona, Spain.ORCID 0009-0009-2341-9596
Norma DahdahFaculty of Sport Sciences, Antonine University, Hadat-Baabda, Lebanon.ORCID 0000-0003-1079-2139
Jorge Alvarez-LuisDepartment of Physiological Sciences, Universitat de Barcelona, 08907 Barcelona, Spain.ORCID 0009-0003-3488-4641
Nuria VilarrasaBellvitge Biomedical Research Institute-IDIBELL, Hospitalet de Llobregat, 08907 Barcelona, Spain.
Pablo M Garcia-RovesDepartment of Physiological Sciences, Universitat de Barcelona, 08907 Barcelona, Spain.ORCID 0000-0002-8371-2067

Funding

Ministerio de Ciencia, Innovación y Universidades PID2022-138537OB-I00
6 · The paper itself

Abstract

Chronotype, an individual's preferred timing of sleep and activity within a 24 h cycle, significantly influences metabolic health, muscle function, and body composition. This review explores the interplay between circadian rhythms, hormonal fluctuations, and behavioral patterns-such as nutrition timing, physical activity and sleep quality-and their impact on muscle mass, strength, and quality. Evening chronotypes (ETs) are consistently associated with poorer sleep, irregular eating habits, reduced physical activity, and increased risk of obesity, sarcopenia and metabolic disorders compared to morning types (MTs). At the molecular level, disruptions in circadian clock gene expression (e.g., BMAL1, PER2, CRY1) affect protein synthesis, insulin sensitivity, and energy metabolism, contributing to muscle degradation and impaired recovery. The review highlights critical components-targeting chrono-nutrition, sleep quality, and exercise timing-to align lifestyle behaviors with circadian biology, thereby preserving muscle health and improving overall metabolic outcomes.

Indexed as

ChronotypeCircadian RhythmMuscle, SkeletalMuscle StrengthAnimalsCircadian ClocksEnergy MetabolismExerciseHumansSleepchronotypecircadian rhythmclock geneshormonal fluctuationsmuscle healthmuscle massmuscle strengthobesitysarcopeniasleep

Identifiers

PMID41599834
PMCPMC12844850

What Socratic holds

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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.