Evidence map›Paper›PMID 42144607›Full record

ArticleBMC pediatrics2026

Connected parents, connected children: the relationship of smartphone, social media, and AI with parenting and children's tech consumption in Türkiye.

Suat Tuncay, Abdullah Sarman, Emrah Zirek, İbrahim Güngör

Abstract read
In one paragraph

Article in BMC pediatrics, 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

4 authors.

Suat TuncayFaculty of Health Science, Department of Pediatric Nursing, Bingöl University, Bingöl, Turkey.ORCID 0000-0001-5493-6507
Abdullah SarmanFaculty of Health Science, Department of Pediatric Nursing, Bingöl University, Bingöl, Turkey. abdullah.sarman@hotmail.com.ORCID 0000-0002-5081-4593
Emrah ZirekFaculty of Physical Therapy and Rehabilitation Department of Physiotherapy and Rehabilitation, Bingöl University, Bingöl, Turkey.ORCID 0000-0002-0546-5961
İbrahim GüngörGraduate School of Health Sciences, Hacettepe University, Ankara, Turkey.ORCID 0000-0002-4283-4842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study is to investigate parental utilization of smartphones, engagement with social media, and adoption of artificial intelligence tools in child-rearing practices, alongside analyzing their children's technology consumption habits.

methodsThis descriptive cross-sectional study was conducted in the downtown area of an eastern Turkish city. Data collection utilized various forms, including a demographic findings form, the parents' smartphone attitudes form, parents' use of social media and knowledge of artificial intelligence form, parents' use of digital tools in childcare form, children's smartphone use form, and the Smartphone Addiction Scale.

resultsThe study revealed that smartphone usage led to insomnia at night, as well as neck and hand-wrist pain. Parents utilizing artificial intelligence applications such as Google Bard/Gemini and ChatGPT demonstrated a higher potential for addiction. Those who allowed their infants to watch content on their smartphones between the first and sixth months of life showed a greater potential for addiction, with such content often utilized to soothe the baby during feeding. It was determined that parents who did not pay attention to the use of smartphones in the presence of their children and parents of children who reacted violently when the phone was taken away had higher phone addiction scores.

conclusionsThe results suggest that parents who extensively utilize social media and artificial intelligence applications tend to integrate these tools into childcare practices.

Indexed as

Artificial IntelligenceBehavior, AddictiveChild RearingParent-Child RelationsParentingParentsSmartphoneSocial MediaAdultChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMaleAddictionArtificial intelligenceChildParent, Smartphone

Identifiers

PMID42144607
PMCPMC13347880

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.