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Record W3117432541 · doi:10.1093/nutrit/nuaa103

Omega-3 long-chain polyunsaturated fatty acid and sleep: a systematic review and meta-analysis of randomized controlled trials and longitudinal studies

2020· review· en· W3117432541 on OpenAlexaboutno aff
Ying Dai, Jianghong Liu

Bibliographic record

VenueNutrition Reviews · 2020
Typereview
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentNational Institute of Environmental Health SciencesNational Institutes of Health
KeywordsPolyunsaturated fatty acidMeta-analysisRandomized controlled trialLong chainSleep (system call)MedicineFatty acidInternal medicineBiochemistryBiologyChemistryComputer science

Abstract

fetched live from OpenAlex

CONTEXT: Omega-3, a long-chain polyunsaturated fatty acid (LC-PUFA), may help promote healthy sleep outcomes. However, evidence from randomized controlled trials are inconclusive. OBJECTIVE: The objective of this systematic review and meta-analysis was to explore the impact of omega-3 LC-PUFA supplementation and related dietary intervention in clinical trials as well as omega-3 LC-PUFA exposure in longitudinal studies on human's sleep-related outcome. DATA SOURCES: The PubMed, EMBASE, Cochrane Library, CINAHL, and AMED databases were searched from inception to November 2019. Randomized controlled trials, clinical trials that included a control group, and longitudinal studies that reported the intake of omega-3 LC-PUFA and sleep-related outcomes were included. STUDY SELECTION: A total of 20 studies with 12 clinical trials and 8 longitudinal studies were identified for inclusion. DATA EXTRACTION: Participant characteristics, study location, intervention information, and sleep-related outcome measurements were reported. Included studies were appraised with Cochrane risk-of-bias tools and the Newcastle-Ottawa Scale. Weighted mean differences (WMDs) and 95%CIs were pooled with fixed or random effect models. RESULTS: Omega-3 LC-PUFA may improve infants' sleep organization and maturity. It reduced the percentage of infants' active sleep (WMD = -8.40%; 95%CI, -14.50 to -2.29), sleep-wake transition (WMD = -1.15%; 95%CI, -2.09 to -0.20), and enhanced the percentage of wakefulness (WMD = 9.06%; 95%CI, 1.53-16.59) but had no effect on quiet sleep. Omega-3 reduced children's total sleep disturbance score for those with clinical-level sleep problems (WMD = -1.81; 95%CI, -3.38 to -0.23) but had no effect on healthy children's total sleep duration, sleep latency, or sleep efficiency. No effectiveness was found in adults' total sleep duration, sleep latency, sleep efficiency, sleep quality, or insomnia severity. CONCLUSION: Omega-3 LC-PUFA may improve certain aspects of sleep health throughout childhood. Additional robust studies are warranted to confirm the relationship between omega-3 LC-PUFA and sleep.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.032
metaresearch head score (Gemma)0.087
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.032
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.087
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0260.040
Bibliometrics0.0130.014
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.181
GPT teacher head0.428
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
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

Citations48
Published2020
Admission routes1
Has abstractyes

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