Evidence map›Paper›PMID 39860902›Full record

ArticleSensors (Basel, Switzerland)2025

Monitoring Sleep and Nightly Recovery with Wrist-Worn Wearables: Links to Training Load and Performance Adaptations.

Olli-Pekka Nuuttila, Daniela Schäfer Olstad, Kaisu Martinmäki, Arja Uusitalo, Heikki Kyröläinen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Olli-Pekka NuuttilaFaculty of Sport and Health Sciences, University of Jyväskylä, 40014 Jyväskylä, Finland.ORCID 0000-0003-4819-0619
Daniela Schäfer OlstadPolar Electro Oy, 90440 Kempele, Finland.
Kaisu MartinmäkiPolar Electro Oy, 90440 Kempele, Finland.
Arja UusitaloDepartment of Sports and Exercise Medicine, Clinicum, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0001-5177-0273
Heikki KyröläinenFaculty of Sport and Health Sciences, University of Jyväskylä, 40014 Jyväskylä, Finland.ORCID 0000-0003-3822-1733

Funding

Polar Electro OyThe Finnish Sports Research FoundationThe Foundation of Sports Institute
6 · The paper itself

Abstract

Previous studies on the effects of intensified training on sleep quality/quantity have been somewhat contradictory. Moreover, recreational athletes often track various sleep metrics, and those metrics' actual connections to training adaptations are unknown. This study explored the effects of intensified training on sleep and nightly recovery along with their associations with training adaptations. A total of 24 participants (10 females) performed a 3-week baseline training period (BL), a 2-week overload period (OL), and a 1-week recovery period (REC), which were followed by test days (T1-T3). The endurance performance was assessed with a 3000 m running test. Throughout all of the periods, the nightly recovery information was monitored with a wrist-worn wearable, including sleep quantity and quality, heart rate (HR) and HR variability (HRV), and proprietary parameters combining several parameters and scaling the results individually. In addition, the perceived strain and muscle soreness were evaluated daily. The 3000 m running performance improved from T1 to T2 (-1.2 ± 1.7%,

Indexed as

Adaptation, PhysiologicalSleepWearable Electronic DevicesAdultFemaleHeart RateHumansMaleMonitoring, PhysiologicRunningWristYoung Adultautonomic nervous systemnocturnal heart ratenocturnal heart rate variabilityoverreachingsleep monitoring

Identifiers

PMID39860902
PMCPMC11768492

What OpenQuestion 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 OpenQuestion graph.