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Record W2133590973 · doi:10.1055/s-0046-1820482

Effects of Resistance Exercise on the Sleep Patterns of Sedentary Individuals

2009· article· en· W2133590973 on OpenAlexaff
Alexandre Paulino de Faria

Bibliographic record

VenueSleep Science · 2009
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsCanadian Society for Exercise Physiology
FundersAssociação Fundo de Incentivo à PesquisaConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsSleep (system call)EveningResistance trainingPhysical therapySleep qualityMedicineSession (web analytics)PsychologyAudiologyInsomniaPsychiatry

Abstract

fetched live from OpenAlex

Abstract The past decades have seen the conduction of a great number of studies that have attempted to assess the effects of physical exercise on sleep. However, the majority of these studies have specifically evaluated the effects of aerobic exercise. To the best of our knowledge, only one study has evaluated the effects of resistance exercise (RE) on sleep patterns. The aim of the current investigation is to verify the effect of one session of RE on the sleep patterns of sedentary individuals with good sleep quality. Twenty-seven sedentary men with good sleep quality between the ages of 20 and 40 participated in this investigation. The experimental protocol consisted of one session of RE, which was comprised of 3 sets of 15 repetitions with a load equivalent to 50% of the one-repetition maximum test (1-RM) with 90 sec intervals between each set. The sleep parameters were analyzed by means of a t-test, with significance defined as p < 0.05. No significant differences were found between sleep parameters when RE was performed during different periods of the day. However, the sleep onset latency and the sleep efficiency in the evening group showed a trend toward alteration (p = 0.06). Sedentary individuals with good sleep quality did not display significant alterations in their sleep parameters after performing one session of RE with a load equivalent to 50% of 1-RM.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.263
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2009
Admission routes1
Has abstractyes

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