Evidence map›Paper›PMID 37744504›Full record

ArticleFrontiers in public health2023

Smartphone addiction, sleep quality, depression, anxiety, and stress among medical students.

Aleksandra Nikolic, Bojana Bukurov, Ilija Kocic, Milica Vukovic, Nikola Ladjevic, Miljana Vrhovac, Zorana Pavlović, Jovan Grujicic, Darija Kisic, Sandra Sipetic

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06239779 (Effects of Fibromyalgia Education on Smart Phone Addiction, Pain, and Quality of Life in Fibromyalgia Patients), which is not on this map. Cited by 110 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 4 pooled it
–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.

NCT06239779 nacompletednot on this mapstarted 2024, after this paper: background citation

Effects of Fibromyalgia Education on Smart Phone Addiction, Pain, and Quality of Life in Fibromyalgia Patients: A Randomized Controlled Study

TypeinterventionalSponsorAntalya Training and Research HospitalRan2024 to 2024Enrolled90ConditionsFibromyalgia, Pain Syndrome, Addiction, Mobile PhoneArmsEducation
3 · Its place in the literature

Who cites it

110 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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50 more citing papers are in PubMed but not listed here.

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

10 authors.

Aleksandra NikolicFaculty of Medicine, Institute of Epidemiology, University of Belgrade, Belgrade, Serbia.
Bojana BukurovClinic of Otorhinolaryngology and Maxillofacial Surgery, Faculty of Medicine, University Clinical Center of Serbia, University of Belgrade, Belgrade, Serbia.
Ilija KocicCovid Hospital Krusevac, University Clinical Center of Niš, Niš, Serbia.
Milica VukovicFaculty of Medicine, Institute of Social Medicine, University of Belgrade, Belgrade, Serbia.
Nikola LadjevicUrology Hospital, University Clinical Centre of Serbia, Belgrade, Serbia.
Miljana VrhovacFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Zorana PavlovićClinic for Psychiatry, Faculty of Medicine, University Clinical Center of Serbia, University of Belgrade, Belgrade, Serbia.
Jovan GrujicicUniversity of Arkansans for Medical Science, Little Rock, AR, United States.
Darija KisicFaculty of Medicine, Institute of Epidemiology, University of Belgrade, Belgrade, Serbia.
Sandra SipeticFaculty of Medicine, Institute of Epidemiology, University of Belgrade, Belgrade, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Studies consistently link excessive smartphone use to poor sleep quality, depression, anxiety, and stress. This study specifically aimed to investigate these associations among medical students in Belgrade and Nis (Central Serbia). Materials and methods: The cross-sectional study included a sample of 761 students, who were selected from both the Faculties of Medicine at the University of Belgrade and the University of Nis. Questionnaires, including the International Physical Activity Questionnaire - Short Form (IPAQ-SF), Smartphone Addiction Scale - Short Version (SAS-SV), the Pittsburgh Sleep Quality Index (PSQI), and the Depression, Anxiety, and Stress Scale - 21 items (DASS-21), were completed by the participants. Statistical analysis techniques, such as the Chi-square test, student's Results: The findings indicated a prevalence of smartphone addiction among medical students at 21.7%, with rates of 22.9% among males and 21.1% among females. Females exhibited significantly higher scores on the SAS-SV scale compared to males ( Conclusion: This study sheds light on the prevalence of smartphone addiction among medical students, with spending excessive time on smartphones and higher levels of depression standing out as significant factors. Future research should delve into the underlying mechanisms and causal relationships between smartphone addiction and these psychosocial factors. Understanding these connections will aid in developing effective interventions and strategies to tackle this growing public health concern.

Indexed as

Students, MedicalAnxietyCross-Sectional StudiesDepressionFemaleHumansInternet Addiction DisorderMaleSleep Qualityanxietydepressionsleep qualitysmartphone addictionstress

Identifiers

PMID37744504
PMCPMC10512032

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Registered trials

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.