Evidence map›Paper›PMID 40738941›Full record

ArticleScientific reports2025

Perceived digital threats influencing smartphone use among the aging population.

R Kanimozhi, V Padmavathi, P S Ramesh

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

3 authors.

R KanimozhiDepartment of Information Technology, A.V.C. College of Engineering, Mayiladuthurai, Tamilnadu, India. kanimozhivedharajan@gmail.com.
V PadmavathiDepartment of Information Technology, A.V.C. College of Engineering, Mayiladuthurai, Tamilnadu, India.
P S RameshDepartment of CSE, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread use of mobile phones among seniors (i.e., those over the age of 50) is still not sufficiently acknowledged, especially concerning security and online threats. The present research investigates the Perceived Danger (PD) of attacks on computers as a possible obstacle to the acceptance and utilization of cell phones among older people. This study examines the differences between smartphone owners and non-users, and older people with and without mobile phone knowledge. We conducted a qualitative cross-sectional poll among elderly people in TamilNadu The results obtained from multilevel modelling indicate solid evidence of support for the associations between the Motivation to Use (MTU), Learning Adaptability (LA), perceived usefulness (UF), and Technology Anxiety (TA). Additionally, there is a notable association between Avoidance Behaviour [AB], adoption readiness [AR], perceived Ease of Use [EoU], social connectivity impact (SC), self-efficacy [SE], and Digital Engagement (DE).Though Perceived Threat (PT) negatively correlates with general smartphone adoption, the association between PT and both Attitude toward Use (AtU) and Perceived Usefulness (PU) seems surprisingly positive. The findings indicate that MTU has a negative relationship with TA and AB but a beneficial relationship with LA and UF. AR shows poor relationships with TA and AB while having positive relationships with LA and UF. By their impacts on LA, UF, TA, and AB, EoU, SC, SE, and DE have an impact on MTU. These patterns indicate that AR, SE, and SC could indirectly impact PT's impact on adoption. The research discovered that advertising must reduce TA and AB, which negatively impacts mobile technology use, and boosts smartphone adoption among elderly individuals. LA and UF, together, enhance MTU and have to be increased. Enhancing Learning Adaptability (LA) and Perceived Usefulness (PU), while reducing Technology Anxiety (TA) and Avoidance Behaviour (AB), can be achieved through improved attitude preparedness, perceived ease of use, and strengthened social connectivity. Instructional materials should be easily implemented, develop trust, and encourage DE with self-efficacy.

Indexed as

AgingSmartphoneAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedMotivationSelf EfficacySurveys and QuestionnairesAdoption readinessDigital engagementLearning attitudeMobile technology useOlder adultsPerceived usefulnessTechnology anxiety

Identifiers

PMID40738941
PMCPMC12310973

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.