Evidence map›Paper›PMID 40847298›Full record

ArticleBMC public health2025

Examining sleep health and its associations with technology use among older adults in Sweden: insights from a population-based study.

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

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sarah Nauman GhaziDepartment of Health, Blekinge Institute of Technology, Valhallavägen, Karlskrona, 371 41, Blekinge, Sweden. sarah.n.ghazi@bth.se.ORCID http://orcid.org/0000-0001-8114-8813
Anders BehrensDepartment of Health, Blekinge Institute of Technology, Valhallavägen, Karlskrona, 371 41, Blekinge, Sweden.ORCID http://orcid.org/0000-0002-9099-0348
Johan Sanmartin BerglundDepartment of Health, Blekinge Institute of Technology, Valhallavägen, Karlskrona, 371 41, Blekinge, Sweden.ORCID http://orcid.org/0000-0003-4312-2246
Jessica BernerDepartment of Health, Blekinge Institute of Technology, Valhallavägen, Karlskrona, 371 41, Blekinge, Sweden.ORCID http://orcid.org/0000-0002-2848-2377
Peter AnderbergDepartment of Health, Blekinge Institute of Technology, Valhallavägen, Karlskrona, 371 41, Blekinge, Sweden.ORCID http://orcid.org/0000-0001-9870-8477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionExploring the association between technology use and sleep health in older adults is important as digital engagement becomes integrated into society.

objectiveThis study aimed to examine sleep health and its association with technology use in a population-based cohort of 60 years and older.

methodsThis cross-sectional, population-based study (2023) included 436 older adults from the Swedish National Study on Aging and Care, Blekinge (SNAC-B) population. These participants were sent questionnaires about their sleep, internet usage, Digital Social Participation (DSP), Technology Anxiety (TA), Technology Enthusiasm (TE), and use of information and communication technology. We used a multidimensional instrument, SATED, to measure sleep health. In this study, we conducted statistical analyses using the chi2 test, T-test, Pearson correlation, and backward linear and logistic regression.

resultsOur study found that older adults (60 years+) have a mean sleep health score of 7.40 (SD = 2.03). TE ([Formula: see text], [Formula: see text]) and DSP ([Formula: see text], [Formula: see text]) were positively associated with better sleep health, while TA ([Formula: see text], [Formula: see text]) was negatively associated. Frequent internet users(M = 7.6) and engaging with screens before bedtime (M = 7.7) had higher sleep health scores compared to non-frequent users (M = 6.90, [Formula: see text]) and none or seldom engagement with screens before bedtime (M = 7.10, [Formula: see text]) respectively. Linear regression showed TE positively associated (β = 0.241, [Formula: see text]) while TA negatively associated (β = -0.220, [Formula: see text]) with sleep health. DSP was found to be a predictor of better satisfaction (OR: 1.32, [Formula: see text]), efficiency (OR: 1.16, [Formula: see text]), and duration of sleep (OR:1.16, [Formula: see text]). Lower TA predicted better satisfaction (OR: 0.81, [Formula: see text]), timing (OR: 0.74, [Formula: see text]), and efficiency (OR:0.78, [Formula: see text]) of sleep. Older adults who use technology one hour before sleep have better sleep timing (OR: 3.003, [Formula: see text]), while those who do use mobile phones with a screen during the awake period after sleep onset have poor sleep timing (OR:0.016, [Formula: see text]).

conclusionsDSP and TE support better sleep health, while TA negatively impacts sleep satisfaction, timing, and efficiency. Encouraging positive digital engagement and minimizing technology-related stress may promote healthier sleep in older adults.

Indexed as

Internet UseSleepAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesSwedenGerontechnologyOlder adultsSleep healthSNAC-BTechnology use

Identifiers

PMID40847298
PMCPMC12372380

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.