Evidence map›Paper›PMID 42772739›Full record

ArticleJMIR formative research2026

Early Adoption of Digital Devices and Change in Loneliness Over 10 Years Among Late Middle-Aged and Older Adults: Longitudinal Cohort Study.

Anna K Dahl Aslan, Martin Gellerstedt, Chandra A Reynolds, Deborah Finkel

Abstract read
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anna K Dahl AslanSchool of Health Sciences, University of Skövde, Skövde, Västra Götaland, Sweden.ORCID 0000-0002-6305-8993
Martin GellerstedtSchool of Health Sciences, University of Skövde, Skövde, Västra Götaland, Sweden.ORCID 0000-0002-0575-4309
Chandra A ReynoldsInstitute for Behavioral Genetics and and Department of Psychology & Neuroscience, University of Colorado Boulder, Boulder, CO, United States.ORCID 0000-0001-6502-7173
Deborah FinkelInstitute of Gerontology, Jönköping University, Jönköping, Jönköping, Sweden.ORCID 0000-0003-2346-2470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoneliness is recognized as a global health threat. Older adults are vulnerable to loneliness due to life changes common in old age. While individual risk factors for loneliness in old age are well-documented, contextual factors are scarcely explored, such as digitalization. Rapid digitalization underscores the need to explore the long-term association between the use of digital devices and loneliness.

objectiveThis study aimed to explore whether and how the use of digital devices is associated with changes in loneliness in a population-based sample of middle-aged and older adults in a context where digital technology and digital environments were introduced and rapidly evolving.

methodsData were obtained from the longitudinal cohort study, the Swedish Adoption/Twin Study of Aging (SATSA; N=771; mean age 69.64 years, SD 11.00). Daily digital use and loneliness were assessed across 5 waves between 2004 and 2014. Age, sex, education, living situation, self-rated health, and the personality traits openness and extraversion were assessed at baseline. Growth mixture modeling was used to identify latent trajectories of loneliness, and multinomial logistic regression was used to predict class membership based on baseline daily digital use and covariates.

resultsThree latent loneliness classes were identified: class 1 (10.5%; high intercept and significant increases in loneliness), class 2 (33.2%; intermediate stable loneliness), and class 3 (56.3%; low stable loneliness). Daily digital use at baseline is significantly associated with lower odds of belonging to the high-increasing loneliness group (class 1) compared to the low-stable group (class 3; odds ratio 0.27, 95% CI 0.08-0.90; P=.03). Differences between classes were not explained by the personality traits.

conclusionsDaily use of digital devices is associated with lower and more stable levels of loneliness over time, compared to not using digital devices daily, which is associated with higher and increasing levels of loneliness. These findings, based on data from early adopters of digital technology, lend further support to the idea that digital use is associated with lower levels of loneliness and less increase in loneliness. Hence, these findings suggest that use of digital devices may represent a noninvasive approach to addressing loneliness in older adults.

Indexed as

Digital TechnologyLonelinessAgedCohort StudiesDigital HealthDigital MediaFemaleHumansLongitudinal StudiesMaleMiddle AgedSwedencell phone accesscell phone usecomputer accesscomputer usedigital healthdigitalizationepidemiologylonelinessold ageolder adults

Identifiers

PMID42772739
PMCPMC13643262

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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.