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Record W2945895035 · doi:10.2340/16501977-2560

Effect of different levels of exercise on telomere length: A systematic review and meta-analysis

2019· review· en· W2945895035 on OpenAlexaboutno aff
Xiaoyi Lin, Jie Zhou, Birong Dong

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2019
Typereview
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsnot available
FundersWest China Hospital, Sichuan UniversityNIH Clinical CenterSichuan University
KeywordsMeta-analysisTelomereCINAHLConfidence intervalRandom effects modelMedicineMEDLINEInternal medicineBiologyGeneticsPsychological interventionDNAPsychiatry

Abstract

fetched live from OpenAlex

Telomeres are structures found at the end of human chromosomes that help to protect the chromosome. Telomeres become shorter with ageing and age-related diseases. This study investigated the effect of different levels of exercise on telomere length. Research databases were searched for relevant studies and these were checked for eligibility. Studies included in this metaanalysis were analysed for heterogeneity, using the random-effects or fixed-effects models. Longer telomere length was found to be associated with physically active individuals, and significantly associated with robust and moderate exercise. Subgroup analysis revealed that longer telomere length was positively associated with exercise, regardless of the person's sex, but this was not statistically significant in elderly populations. In conclusion, compared with inactive individuals, people who were active had longer telomere lengths, regardless of the intensity of exercise. Objective: To investigate the effect of different levels of exercise on telomere length. Methods: CINAHL, SPORTDiscus (EBSCO), OVID (Medline) and EMBASE databases were searched for eligible studies. Methodological quality was evaluated using the Newcastle-Ottawa Scale, and heterogeneity among the studies was assessed using the I-squared test. When heterogeneity among studies was high (I 2 > 50%), a random-effects model was used (Review Manager version 5, Cochrane Collaboration, Copenhagen, Denmark); otherwise, a fixedeffects model was used. Results: Eleven eligible studies involving 19,292 participants were included in this meta-analysis. Longer telomere length was associated with physically active individuals, with a mean difference (MD) of 0.15 (95% confidence interval; 95% CI 0.05, 0.24); I 2 = 99%. Longer telomere length was significantly associated with robust exercise (MD 0.08 (95% CI 0.04, 0.12)); I 2 = 99%, as was moderate exercise (MD 0.07 (95% CI 0.03, 0.11)); I 2 = 100%. Subgroup analysis revealed that longer telomere length was positively associated with exercise, regardless of sex, but was not statistically significant in elderly populations. Conclusion: Compared with inactive individuals, telomere lengths were longer in active subjects, regardless of the intensity of exercise.

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)0.005
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.597
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0260.004
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.075
GPT teacher head0.396
Teacher spread0.321 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations35
Published2019
Admission routes1
Has abstractyes

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