Evidence map›Paper›PMID 41822301›Full record

ArticleFrontiers in aging2026

Use of sensing technologies to assess sleep quality and physical activity levels in nursing home residents with dementia taking nightly psychotropic drugs for sleep disturbance: a cross-sectional study.

Lydia D Boyle, Brice Marty, Kristoffer Haugarvoll, Ole Martin Steihaug, Bettina S Husebo

Abstract read
In one paragraph

Article in Frontiers in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Observational
  2. Article
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.

Lydia D BoyleDepartment of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway.
Brice MartyDepartment of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway.
Kristoffer HaugarvollDepartment of Neurology, Neuro-SysMed, Haukeland University Hospital, Bergen, Norway.
Ole Martin SteihaugDepartment of Internal Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway.
Bettina S HuseboDepartment of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sleep disturbances are common in people with dementia and nightly prescribed psychotropic drugs, such as sedatives or antidepressants, can increase risks such as injury, inactivity, and behavioral symptoms. Treatment decisions currently rely on periodic, proxy-rated questionnaires that may miss important daily fluctuations in sleep and activity. We explore whether sensing technologies provide insights into distinct differences in sleep characteristics and activity levels in nursing home residents with dementia who are prescribed nightly psychotropic drugs for sleep disturbances. Methods: Forty-seven participants were recruited from four nursing homes in Bergen, Norway, and stratified according to prescribed nightly psychotropic drug use for sleep disturbance: 1) none, 2) medications with short half-lives, 3) medications with long half-lives. Garmin Vivoactive5 and Venu3, Vital Things Somnofy sleep monitor, and traditional questionnaires (Physical Self Maintenance Scale and Neuropsychiatric Inventory-Nursing Home version) were used for data collection. Digital metrics included Euclidean Norm Minus One (ENMO; day/night/24-h), Sleep Regulatory Index (SRI), Sleep Efficiency (SE), Total Sleep Time (TST), Sleep Fragmentation Index (SFI), and no presence (time out of bed). Results: Thirty participants (73-100 years old) were included for analysis. Groups taking psychotropic medications were awake for longer periods (WASO: chi Conclusion: The digital biomarkers collected using the selected sensing technologies offered nuanced information regarding sleep behaviors and physical activity levels, providing detailed distinction between the groups. Sensing technologies may be a promising companion to the currently used proxy-rated assessment tools for sleep disturbance and physical activity levels for people with dementia residing in nursing homes.

Indexed as

dementianursing homephysical activitypsychotropic drugssensing technologysleep disturbance

Identifiers

PMID41822301
PMCPMC12975902

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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.