Evidence map›Paper›PMID 41417316›Full record

ArticleRevista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo2025

Smartphone addiction among adolescents: associations with mental health, physical inactivity, daytime sleepiness, and consumption of ultra-processed foods.

Lopes Laís Amaral, Bianca Borges Meireles, Luany Caxangá Carneiro, Carolina Amaral Oliveira Rodrigues, Hanna Beatriz Bacelar Tibães, Rosângela Ramos Veloso Silva, Lucineia de Pinho, Maria Fernanda Santos Figueiredo Brito

Abstract read
In one paragraph

Article in Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Lopes Laís AmaralUniversidade Estadual de Montes Claros, Montes Claros, MG, Brazil.ORCID http://orcid.org/0009-0003-6709-9324
Bianca Borges MeirelesUniversidade Estadual de Montes Claros, Montes Claros, MG, Brazil.ORCID http://orcid.org/0009-0000-8706-4805
Luany Caxangá CarneiroUniversidade Estadual de Montes Claros, Montes Claros, MG, Brazil.ORCID http://orcid.org/0009-0006-4583-3921
Carolina Amaral Oliveira RodriguesUniversidade Estadual de Montes Claros, Montes Claros, MG, Brazil.ORCID http://orcid.org/0000-0003-1804-619X
Hanna Beatriz Bacelar TibãesUniversidade Estadual de Montes Claros, Montes Claros, MG, Brazil.ORCID http://orcid.org/0000-0001-8553-4666
Rosângela Ramos Veloso SilvaUniversidade Estadual de Montes Claros, Montes Claros, MG, Brazil.ORCID http://orcid.org/0000-0003-3329-8133
Lucineia de PinhoUniversidade Estadual de Montes Claros, Montes Claros, MG, Brazil.ORCID http://orcid.org/0000-0002-2947-5806
Maria Fernanda Santos Figueiredo BritoUniversidade Estadual de Montes Claros, Montes Claros, MG, Brazil.ORCID http://orcid.org/0000-0001-5395-9491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the prevalence of smartphone addiction and identify associated factors among high school adolescents.

methodsA cross-sectional study, part of the first phase of the project "Longitudinal Study on Adolescent Behavior in Physical Activity and Health," was conducted with 1,616 adolescents of both sexes from public schools in Montes Claros, Minas Gerais, Brazil. Sociodemographic data, lifestyle habits, health aspects, and future expectations were collected. Smartphone addiction was assessed using the Smartphone Addiction Inventory (SPAI) with a cutoff score of ≥9. Additionally, levels ofphysical activity, eating habits, daytime sleepiness, depressive and anxious symptoms, presence of pain, weight satisfaction, body mass index, waist-to-height ratio, and future perspectives were evaluated. Prevalence ratios (PR) with 95% confidence intervals (95%CI) were estimated using Poisson regression with robust variance in both crude and adjusted analyses (p<0.05).

resultsThe prevalence of smartphone addiction was 54.9%. Associated factors included female sex (PR 1.15; 95%CI 1.00-1.20), not practicing of physical activity (PR 1.10; 95%CI 1.00-1.22), consumption of salty industrialized/ultra-processed foods (PR 1.16; 95%CI 1.05-1.28) and fast foods (PR 1.16; 95%CI 1.04-1.28), presence of daytime sleepiness (PR 1.65; 95%CI 1.39-1.95), symptoms of depression (PR 1.42; 95%CI 1.22-1.65), and stress (PR 1.27; 95%CI 1.11-1.45).

conclusionsMore than half of the adolescents demonstrated smartphone addiction, which was associated with female sex, unhealthy eating habits, and unfavorable emotional indicators. The findings highlight the importance of interventions that promote healthy behaviors and provide psychological support for this population.

Indexed as

Adolescent BehaviorBehavior, AddictiveFast FoodsMental HealthSedentary BehaviorSmartphoneAdolescentBrazilCross-Sectional StudiesExerciseFeeding BehaviorFemaleFood, ProcessedHumansMalePrevalence

Identifiers

PMID41417316
PMCPMC12707819

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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.