Evidence map›Paper›PMID 42842033›Full record

ReviewEuropean journal of pediatrics2026

Smartphone addiction and metabolic health risk in pediatrics.

Amrit Singh, Sonam Kumari, Asmita Dujawara, Anushka Kulshrestha, Gauri Shandilya, Ananya Sharma

Abstract readReview
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In one paragraph

Review in European journal of 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

6 authors.

Amrit SinghSchool of Allied Health Sciences, Galgotias University, Uttar Pradesh, Dankaur, India.ORCID http://orcid.org/0009-0007-4524-0250
Sonam KumariSchool of Allied Health Sciences, Galgotias University, Uttar Pradesh, Dankaur, India. sonamsingh2094@gmail.com.ORCID https://orcid.org/0009-0009-2805-4987
Asmita DujawaraSchool of Allied Health Sciences, Galgotias University, Uttar Pradesh, Dankaur, India.ORCID http://orcid.org/0000-0003-0124-2370
Anushka KulshresthaSchool of Allied Health Sciences, Galgotias University, Uttar Pradesh, Dankaur, India.ORCID http://orcid.org/0009-0000-0495-1055
Gauri ShandilyaSchool of Allied Health Sciences, Galgotias University, Uttar Pradesh, Dankaur, India.ORCID http://orcid.org/0009-0002-6478-3000
Ananya SharmaSchool of Allied Health Sciences, Galgotias University, Uttar Pradesh, Dankaur, India.ORCID http://orcid.org/0009-0008-2207-9000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smartphone ownership among children and adolescents has risen sharply over the past decade, coinciding with a parallel rise in pediatric metabolic disorders, including obesity, hypertension, insulin resistance, and early markers of metabolic syndrome. Whether these two trends are mechanistically related has become a question of growing clinical and public health relevance. This study synthesizes evidence on the association between problematic smartphone use in children and adolescents and metabolic health outcomes, with attention to the behavioral, neurobiological, and psychiatric pathways that may connect the two. Peer-reviewed studies published between 2019 and 2026 were identified through structured searches of PubMed, Scopus, Web of Science, Google Scholar, and IEEE Xplore, using combinations of terms related to smartphone addiction, problematic smartphone use, screen time, and pediatric metabolic outcomes. Fourteen studies meeting predefined eligibility criteria (original research; participants aged 5-18 years; a quantitatively examined association between smartphone use and a metabolic or closely related outcome) constituted the primary evidence base. This base was supplemented with additional targeted literature on diagnostic classification, neurobiology, psychiatric comorbidity, and intervention, cited separately, to address conceptual and clinical gaps identified during peer review. Across the included studies, the prevalence of problematic smartphone use ranged from approximately 22% to 53%, varying by instrument, cutoff score, and cultural context. Problematic use was consistently associated with obesity, hypertension, unfavorable dietary patterns, sleep disruption, and reduced physical activity; evidence for a direct association with insulin resistance was more limited and inconsistent. The COVID-19 pandemic was associated with a marked, temporary increase in both screen time and addiction prevalence. Proposed mechanisms include displacement of physical activity, altered dietary behavior, circadian disruption via melatonin suppression, and dysregulation of reward and stress-response circuitry, occurring within an apparently bidirectional relationship with psychiatric symptoms such as anxiety, depression, and attention-deficit/hyperactivity disorder.

conclusionProblematic smartphone use appears to be a plausible, modifiable contributor to pediatric metabolic risk, operating through overlapping behavioral, neurobiological, and psychosocial pathways. Because most available evidence is cross-sectional and drawn from a limited number of heterogeneous studies, causal inference is not currently possible, and the associations reported here should be interpreted as correlational rather than confirmed pathogenic relationships. Longitudinal and mechanistic research, alongside coordinated clinical screening and family-centered intervention, is needed to clarify and act on this relationship. WHAT IS KNOWN: • Previous studies have investigated the role of how excessive use of smartphones has progressively become common among children and adolescents worldwide. • The researches also demonstrated how excessive smartphone use may negatively affect overall well-being in pediatric populations. WHAT IS NEW: • In this review, all the recent studies on smartphone addiction and metabolic health risk in pediatrics are highlighted. • Unlike previous studies that have focused on individual outcomes, this review combines evidence on sleep disturbances, sedentary behavior, psychological factors, dietary pattern, obesity, hypertension, diabetes, and other health consequences within a single framework. • The review highlights the diverse impact of smartphone addiction and identifies important gaps for future research.

Indexed as

Behavior, AddictiveInternet Addiction DisorderMetabolic DiseasesSmartphoneAdolescentChildCOVID-19HumansMetabolic SyndromePediatric ObesityRisk FactorsScreen TimeAdolescent psychiatryCOVID-19HypertensionInsulin resistanceObesityPediatric metabolic syndromeProblematic smartphone useScreen timeSleep disruptionSmartphone addiction

Identifiers

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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.