Evidence map›Paper›PMID 39969960›Full record

ArticleJournal of medical Internet research2025

Identifying Profiles of Digital Literacy Among Community-Dwelling Korean Older Adults: Latent Profile Analysis.

Jiyoung Shin, Hun Kang, Seongmi Choi, Sang Hui Chu, JiYeon Choi

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

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  13. Development and Validation of a Nomogram Predicting Sarcopenia in Community-Dwelling Older Adults.Inquiry : a journal of medical care organization, provision and financing
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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.

Jiyoung ShinMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Republic of Korea.ORCID 0009-0003-6279-1047
Hun KangDepartment of Social and Behavioral Sciences, Yale University School of Public Health, New Haven, CT, United States.ORCID 0000-0002-5312-1493
Seongmi ChoiMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-0988-9307
Sang Hui ChuMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0001-6877-5599
JiYeon ChoiMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0003-1947-7952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe digital divide is apparent not only between older and younger generations but also within the older adult population itself. Identifying digital literacy profiles among older adults is crucial for developing targeted strategies to narrow this divide.

objectiveThis study aimed to identify profiles of digital literacy among community-dwelling older adults and to examine factors associated with these profiles.

methodsData were collected from community-dwelling older adults in South Korea through a nationwide cross-sectional survey that assessed digital literacy and related factors. Digital literacy was evaluated across 3 domains: information and communication (9 items), content creation and management (4 items), and safety and security (9 items). Latent profile analysis was used to identify profiles of digital literacy among community-dwelling older adults, and multinomial logistic regression was used to identify predictors of profile membership.

resultsA total of 1016 older adults completed structured questionnaires (average age 68, SD 6.5 years; 486/1016, 47.8% men). Three digital literacy profiles were identified (P<.001): "low level" (346/1016, 34.1%), "middle level" (374/1016, 36.8%), and "high level" (296/1016, 29.1%). With the "middle-level" digital literacy group as the reference group, older adult participants (odds ratio [OR] 1.11, 95% CI 1.07-1.15) with less than a middle school education (vs with a college degree or higher; OR 7.22, 95% CI 2.31-22.54), who needed help with one of the 10 instrumental daily activities (vs ≥2 activities; OR 3.06, 95% CI 1.11-8.40) and who did not engage in in-person social activities (OR 1.81, 95% CI 1.07-3.07), were more likely to be in the "low-level" group. Women were less likely to be in the "high-level" digital literacy group than men (OR 0.45, 95% CI 0.25-0.80). Participants with less than a college education were also less likely to be in the "high-level" group, with those having less than a middle school education showing the lowest OR (OR 0.17, 95% CI 0.07-0.41). Those who had never worked (OR 0.23, 95% CI 0.06-0.90) and those not engaging in regular physical exercise (OR 0.58, 95% CI 0.40-0.84) were also less likely to be in the "high-level" digital literacy group. Participants with greater social support were more likely to be in the "high-level" digital literacy group (OR 1.70, 95% CI 1.22-2.37).

conclusionsThese findings underscore the characteristics linked to lower digital literacy and suggest a tailored approach to meet the needs of diverse groups of older adults in a digitalizing society. To promote digital literacy among older adults, potential strategies include improving access to and guidance for using digital devices, specifically designed for this demographic, as well as promoting social support and encouraging participation in social activities.

Indexed as

Computer LiteracyIndependent LivingAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedRepublic of KoreaSurveys and Questionnairesdigital dividedigital literacylatent profile analysisolder adultsSouth Korea

Identifiers

PMID39969960
PMCPMC11888056

What OpenQuestion holds

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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 OpenQuestion graph.