Evidence map›Paper›PMID 36167935›Full record

ArticleJournal of sleep research2023

Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh: an evaluation against polysomnography.

Peter J Johansson, Patrick Crowley, John Axelsson, Karl Franklin, Anne Helene Garde, Pasan Hettiarachchi, Andreas Holtermann, Göran Kecklund, Eva Lindberg, Mirjam Ljunggren and 3 more

Abstract read
In one paragraph

Article in Journal of sleep research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A pilot study of body-mind-spirit group therapy on sleep and quality of life in individuals with visual impairment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Trial
  3. Sedentary behavior and activity patterns in Swedish log truck drivers - a descriptive cross-sectional study.Journal of occupational medicine and toxicology (London, England) · 2026
    Article
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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

13 authors.

Peter J JohanssonDepartment of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala University Hospital, Uppsala, Sweden.ORCID 0000-0001-9354-6704
Patrick CrowleyThe National Research Centre for the Working Environment, Copenhagen, Denmark.
John AxelssonDepartment of Psychology, Department of Clinical Neuroscience, Stress Research Institute, Karolinska Institutet, Stockholm University, Stockholm, Sweden.
Karl FranklinDepartment of Surgical and Perioperative Sciences, Surgery, Umeå University, Umeå, Sweden.
Anne Helene GardeThe National Research Centre for the Working Environment, Copenhagen, Denmark.
Pasan HettiarachchiDepartment of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala University Hospital, Uppsala, Sweden.
Andreas HoltermannThe National Research Centre for the Working Environment, Copenhagen, Denmark.
Göran KecklundDepartment of Psychology, Department of Clinical Neuroscience, Stress Research Institute, Karolinska Institutet, Stockholm University, Stockholm, Sweden.
Eva LindbergDepartment of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala University Hospital, Uppsala, Sweden.
Mirjam LjunggrenDepartment of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala University Hospital, Uppsala, Sweden.ORCID 0000-0002-8486-6746
Emmanuel StamatakisCharles Perkins Centre, Faculty of Medicine and Health, School of Health Sciences, University of Sydney, Sydney, Australia.
Jenny Theorell HaglöwDepartment of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala University Hospital, Uppsala, Sweden.ORCID 0000-0003-2819-2799
Magnus SvartengrenDepartment of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala University Hospital, Uppsala, Sweden.

Funding

British Heart Foundation SP/F/20/150002
6 · The paper itself

Abstract

Accelerometers placed on the thigh provide accurate measures of daily physical activity types, postures and sedentary behaviours, over 24 h and across consecutive days. However, the ability to estimate sleep duration or quality from thigh-worn accelerometers is uncertain and has not been evaluated in comparison with the 'gold-standard' measurement of sleep polysomnography. This study aimed to develop an algorithm for sleep estimation using the raw data from a thigh-worn accelerometer and to evaluate it in comparison with polysomnography. The algorithm was developed and optimised on a dataset consisting of 23 single-night polysomnography recordings, collected in a laboratory, from 15 asymptomatic adults. This optimised algorithm was then applied to a separate evaluation dataset, in which, 71 adult males (mean [SD] age 57 [11] years, height 181 [6] cm, weight 82 [13] kg) wore ambulatory polysomnography equipment and a thigh-worn accelerometer, simultaneously, whilst sleeping at home. Compared with polysomnography, the algorithm had a sensitivity of 0.84 and a specificity of 0.55 when estimating sleep periods. Sleep intervals were underestimated by 21 min (130 min, Limits of Agreement Range [LoAR]). Total sleep time was underestimated by 32 min (233 min LoAR). Our results evaluate the performance of a new algorithm for estimating sleep and outline the limitations. Based on these results, we conclude that a single device can provide estimates of the sleep interval and total sleep time with sufficient accuracy for the measurement of daily physical activity, sedentary behaviour, and sleep, on a group level in free-living settings.

Indexed as

SleepThighAccelerometryActigraphyAdultAlgorithmsHumansMaleMiddle AgedPolysomnographyReproducibility of Resultsactigraphyactivity tracker; wearablesphysical activitysedentary behaviour

Identifiers

PMID36167935
PMCPMC10909528

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.