Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 50Sports injuries and preventionSleep and related disordersSports Performance and Training

The DOI matches its Crossref record; 181 of the 182 references it cites were found in a registry or an index; none of the 122 sources its claims cite is checked for support yet.

Sleep, Nutrition, and Injury Risk in Adolescent Athletes: A Narrative Review

Open access

Abstract

This narrative review explores the impact of sleep and nutrition on injury risk in adolescent athletes. Sleep is viewed as essential to the recuperation process and is distinguished as an active participant in recovery through its involvement in growth, repair, regeneration, and immunity. Furthermore, the literature has shown that the sleep of athletes impacts elements of athletic performance including both physical and cognitive performance, recovery, injury risk, and mental well-being. For sleep to have a restorative effect on the body, it must meet an individual’s sleep needs whilst also lasting for an adequate duration and being of adequate quality, which is age-dependent. The literature has suggested that athletes have increased sleep needs compared to those of the general population and thus the standard recommendations may not be sufficient for athletic populations. Therefore, a more individualised approach accounting for overall sleep health may be more appropriate for addressing sleep needs in individuals including athletes. The literature has demonstrated that adolescent athletes achieve, on average, ~6.3 h of sleep, demonstrating a discrepancy between sleep recommendations (8–10 h) and actual sleep achieved. Sleep–wake cycles undergo development during adolescence whereby adaptation occurs in sleep regulation during this phase. These adaptations increase sleep pressure tolerance and are driven by the maturation of physiological, psychological, and cognitive functioning along with delays in circadian rhythmicity, thus creating an environment for inadequate sleep during adolescence. As such, the adolescent period is a phase of rapid growth and maturation that presents multiple challenges to both sleep and nutrition; consequently, this places a significant burden on an adolescent athletes’ ability to recover, thus increasing the likelihood of injury. Therefore, this article aims to provide a comprehensive review of the available literature on the importance of sleep and nutrition interactions in injury risk in adolescent athletes. Furthermore, it provides foundations for informing further investigations exploring the relation of sleep and nutrition interactions to recovery during adolescence.

Overview

CoChat Summary

TL;DR

This narrative review examines how sleep and nutrition interact with recovery and injury risk in adolescent athletes, noting injury rates of ~1.4–6.4 per 1000 h during training and ~22.4 per 1000 h during competition. It concludes that poor sleep and inadequate diet are associated with higher injury risk, but evidence in adolescent athletes remains limited and largely subjective.

Key findings

  • Adolescent athletes achieve, on average, ~6.3 h of sleep, below the 8–10 h recommendation; elite athletes may need ~8.3 h to feel rested.
  • Sleep loss is associated with injury: adolescent athletes with <8 h sleep per night were 1.7 times more likely to sustain injury (95% CI 1.0–3.0; p = 0.04); decreasing sleep during high-volume intense training produced a 2.25-fold increase (95% CI 1.46–3.45; p < 0.001); and <8 h specifically gave a 1.31-fold increase (95% CI 0.97–1.78; p = 0.080). Actigraphy found wake after sleep onset predicted previous injury (OR = 1.144), time spent awake predicted injury occurrence (OR = 0.974), and increasing time spent awake by at least 1 min reduced future injury likelihood [F(2.36) = 6.512; p = 0.004].
  • In 340 elite adolescent Swedish athletes, meeting recommended nutrition intake decreased injury risk by 64% (OR 0.36; 95% CI 0.14–0.91), and sleeping >8 h per weeknight decreased injury risk by 61% (OR 0.39; 95% CI 0.16–0.99).
  • Nutrition knowledge is low in adolescent athletes, with mean scores ranging from 43.8 ± 11.4% to 48.85 ± 12.7%, lower than adult athletes (40.2 ± 12.4% to 70 ± 9%; overall NK% = 55.1 ± 10.7%); a weak positive relationship (r = >0.26) exists between nutrition knowledge and energy balance/dietary quality.

Methods

  • Narrative review design, synthesizing available literature on sleep, nutrition, and injury risk in adolescent athletes.
  • Data/sample: literature involving adolescent athletes, adult athletes, and general adolescent populations; cited studies include subjective questionnaires, actigraphy, and multiple nutrition knowledge assessment tools, with one analysis involving 340 elite adolescent Swedish athletes.
  • Main analysis: narrative synthesis; no primary data collection or meta-analysis is reported, and the text does not describe a systematic search strategy, inclusion/exclusion criteria, or quality appraisal.

Limitations

  • Stated limitations: limited research investigates the impact of both sleep and nutrition on injury risk in adolescent athletes; consensus is mainly informed by adult athletes and/or general adolescent populations; objective sleep measures such as actigraphy or polysomnography are scarce in adolescent athletes, so conclusions are inferred from subjective questionnaires and sleep diaries; many studies involve limited sample sizes, case studies, or cross-sectional investigations, limiting conclusions; future longitudinal research using objective sleep measures is warranted.
  • Evident limitations: as a narrative review, it lacks a reported systematic search and quality appraisal, so selection and synthesis bias cannot be assessed; the paper also notes that nutrition knowledge research is difficult to infer because of multiple assessment tools.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.3390/nu15245101

Cites

181 of 181 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 The perfect storm model adapted from [41,42].
Figure 1 The perfect storm model adapted from [41,42].CC BY · PubMed Central
Figure 2 Training load framework adapted from [152].
Figure 2 Training load framework adapted from [152].CC BY · PubMed Central

Verification

Claims the paper makes

0 Valid · 0 Not valid · 32 Not checked · 4 Own results and interpretations

14 more claims

Create a free account to see all 36 claims and to verify the 122 references still open.

See all claims — free account
  • It may state two separate claims as one. 17
  • Probably not a substantial claim. 1

Create a free account to see these claims.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

2 of 2

Citations

Cites

Show all 182 references

Research works printed but not linked: 6

  1. Kryger, M.H., Roth, T., and Dement, W.C. (2005). Principles and Practice of Sleep Medicine, W.B. Saunders. [4th ed.].
  2. Kryger, M.H., Roth, T., and Dement, W.C. (2017). Principles and Practice of Sleep Medicine, Elsevier. [6th ed.].
  3. Hannon, M.P., Unnithan, V., Morton, J.P., and Close, G.L. (2019). Strength and Conditioning for Young Athletes, Routledge.
  4. Coutts, A., Crowcroft, S., and Kempton, T. (2017). Sport, Recovery and Performance: Interdisciplinary Insights, Routledge.
  5. Selye, H. (1956). The Stress of Life, McGraw-Hill.
  6. Read, M., Rietveld, R., Deigan, D., Birnie, M., Mason, L., and Centofanti, A. (2022). Peak Performance for Soccer, Routledge.

Cited by

See all 50

Metadata

Authors
Mason, L., Connolly, J., Devenney, L. E., Lacey, K., O’Donovan, J., & Doherty, R.
Affiliations
  • Atlantic Technological University (IE)
  • The Open University (GB)
  • Dublin City University (IE)
Corresponding author
Mason, Lorcán
Venue
Nutrients
Publisher
MDPI AG
Published
2023-12-13
Volume
15
Issue
24
Pages
5101
ISSN
2072-6643 (ISSN-L)
OpenAlex
W4389670054
Cited by
50
References
182
Citations by year
2026: 25 · 2025: 18 · 2024: 7
FWCI
2.29
Type
journal article
Language
en
Open access
Locations
  • Nutrients (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Ulster University Research Portal (Ulster University) (publishedVersion, cc-by)
  • Open Research Online (The Open University) (acceptedVersion)
Funders
the Atlantic Technological University of Donegal President’s Research Bursary
Topics
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports injuries and prevention
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
Keywords
sleep, nutrition, injury risk, youth athletes, sleep need, circadian rhythm, sleep regulation, recovery, athletic performance, psychological well-being
MeSH terms
Adolescent, Circadian Rhythm, Humans, Nutritional Status, Sleep, Athletic Performance, Athletes

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-11-14, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-14 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.