Evidence map›Paper›PMID 39654292›Full record

ArticleJournal of sleep research2025

Objective sleep monitoring at home in older adults: A scoping review.

Sarah Nauman Ghazi, Anders Behrens, Jessica Berner, Johan Sanmartin Berglund, Peter Anderberg

Abstract readScoping Review
In one paragraph

Article in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Night Watch: A Survey of Older Adult Sleep-Tracking.Behavioral sciences (Basel, Switzerland) · 2026
    Article
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  7. Review
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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

5 authors.

Sarah Nauman GhaziDepartment of Health, Blekinge Institute of Technology, Karlskrona, Sweden.ORCID 0000-0001-8114-8813
Anders BehrensDepartment of Health, Blekinge Institute of Technology, Karlskrona, Sweden.ORCID 0000-0002-9099-0348
Jessica BernerDepartment of Health, Blekinge Institute of Technology, Karlskrona, Sweden.ORCID 0000-0002-2848-2377
Johan Sanmartin BerglundDepartment of Health, Blekinge Institute of Technology, Karlskrona, Sweden.ORCID 0000-0003-4312-2246
Peter AnderbergDepartment of Health, Blekinge Institute of Technology, Karlskrona, Sweden.ORCID 0000-0001-9870-8477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inadequate sleep in older adults is linked to health issues such as frailty, cognitive impairment and cardiovascular disorders. Maintaining regular sleep patterns is important for healthy aging, making effective sleep monitoring essential. While polysomnography is the gold-standard for diagnosing sleep disorders, its regular use in home settings is limited. Alternative objective monitoring methods in the home can offer insights into natural sleep patterns and factors affecting them without the limitations of polysomnography. This scoping review aims to examine current technologies, sensors and sleep parameters used for home-based sleep monitoring in older adults. It also aims to explore various predictors and outcomes associated with sleep to understand the factors of sleep monitoring at home. We identified 54 relevant articles using PubMed, Scopus, Web of Science and an AI tool (Research Rabbit), with 48 studies using wearable technologies and eight studies using non-wearable technologies. Further, six types of sensors were utilized. The most common technology employed was actigraphy wearables, while ballistocardiography and electroencephalography were less common. The most frequent objective parameters of sleep measured were total sleep time, wakeup after sleep onset and sleep efficiency, with only six studies evaluating sleep architecture in terms of sleep stages. Additionally, six categories of predictors and outcomes associated with sleep were analysed, including Health-related, Environmental, Interventional, Behavioural, Time and Place, and Social associations. These associations correlate with total sleep time, wakeup after sleep onset and sleep efficiency, and include in-bed behaviours, exterior housing conditions, aerobic exercise, living place, relationship status, and seasonal thermal environments.

Indexed as

PolysomnographySleepSleep Wake DisordersActigraphyAgedElectroencephalographyHumansWearable Electronic Devicesactigraphyhealthy agingobjective sleep monitoringsensorssleeptechnology

Identifiers

PMID39654292
PMCPMC12215280

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.