Evidence map›Paper›PMID 42193711›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Decoding the Generational Digital Divide: Profiles and Predictors of Grandparents' Attitudes Toward Young Children's Technology Use.

Wenwei Luo, Huihua He, Ilene R Berson, Michael J Berson, Zhiying Wang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wenwei LuoShanghai Institute of Early Childhood Education, Shanghai Normal University, Shanghai 200234, China.ORCID 0000-0003-0014-9799
Huihua HeShanghai Institute of Early Childhood Education, Shanghai Normal University, Shanghai 200234, China.ORCID 0000-0003-4628-7425
Ilene R BersonDepartment of Teaching and Learning, University of South Florida, Tampa, FL 33620, USA.ORCID 0000-0001-8114-7474
Michael J BersonDepartment of Teaching and Learning, University of South Florida, Tampa, FL 33620, USA.ORCID 0000-0002-7894-5851
Zhiying WangSchool of Education, Shanghai Normal University, Shanghai 200234, China.ORCID 0009-0009-8025-2438

Funding

Shanghai Philosophy and Social Science Planning A2025010
6 · The paper itself

Abstract

In today's digital age, child-rearing presents unique challenges that extend across generations, impacting both parenting and grandparenting. This study investigated patterns of grandparents' attitudes toward their grandchildren's technology use and identified key predictors of these patterns. Utilizing latent profile analysis (LPA) with a sample of 712 grandparents from Shanghai, China, the research identified four distinct attitudinal profiles: positively supportive, cautiously observant, low-involvement reserved, highly concerned and restrictive. Multinomial logistic regression analyses revealed that the age of the grandparent, sibling status, and the frequency of communication between grandparents and parents were significant predictors of profile membership. The findings indicate that grandparents' attitudes toward their grandchildren's technology use reflect a combination of acceptance and concern. This study underscores the need for further research and educational supports to help grandparents develop perspectives informed by an evidence base, thereby strengthening guidance strategies for young children's digital engagement.

Indexed as

attitudesgrandchildrengrandparentstechnology use

Identifiers

PMID42193711
PMCPMC13203561

What OpenQuestion holds

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Registered trials

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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.