Evidence map›Paper›PMID 41350896›Full record

ArticleBMC psychology2025

Determinants of smartphone addiction among university students in Jordan.

Nour Al-Rajabi, Rami Masadeh, Mohammed ALBashtawy, Khadejah F Mahmoud, Rabia S Allari, Elham H Othman, Samiha S Jarrah

Abstract read
In one paragraph

Article in BMC psychology, 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

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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

7 authors.

Nour Al-RajabiDepartment of Community Health Nursing, Faculty of Nursing, Applied Science Private University, Amman, 11931, Jordan.
Rami MasadehDepartment of Community Health Nursing, Faculty of Nursing, Applied Science Private University, Amman, 11931, Jordan.ORCID http://orcid.org/0000-0002-9070-3732
Mohammed ALBashtawyPrincess Salma Faculty of Nursing, Al Al-Bayt University, P.O box 130040, Mafraq, 25113, Jordan.ORCID http://orcid.org/0000-0002-6107-7605
Khadejah F MahmoudDepartment of Community Health Nursing, Faculty of Nursing, Applied Science Private University, Amman, 11931, Jordan. k_mahmoud@asu.edu.jo.ORCID http://orcid.org/0000-0001-7822-5515
Rabia S AllariFaculty of Nursing, Al-Ahliyya Amman University, Amman, Jordan.ORCID http://orcid.org/0000-0003-0892-346X
Elham H OthmanDepartment of Clinical Nursing, Faculty of Nursing, Applied Science Private University, Amman, 11931,, Jordan.ORCID http://orcid.org/0000-0002-2438-0429
Samiha S JarrahDepartment of Community Health Nursing, Faculty of Nursing, Applied Science Private University, Amman, 11931, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphones have become an integral part of our daily lives where they provide portability and fast access to online information. With the development of technology and the need to use smartphones for various reasons, smartphone addiction has been reported. In addition, university students have to use smartphones for studying, attending lectures, and searching for information, thus, increasing their risk of addiction. Therefore, the purpose of this study is to examine the determinants of smartphone addiction among university students.

methodsA descriptive cross-sectional design was employed. After receiving ethical approval, students were recruited from two governmental and two private universities, chosen at random from Amman, using Google Forms. The Arabic versions of the Smartphone Addiction Scale (SAS), the Generalized Anxiety Disorder- 7 (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), and the Rosenberg Self-Esteem Scale (RSES) were utilized in this study.

resultsThe sample consisted of 306 university students, 183 were female students with a mean age of approximately 24 years old. The total score of smartphone addiction on the SAS scale was high (M = 105.86). Students reported a mild level of anxiety (M = 7.35) and depression (M = 8.59). The mean score of RSES was 15.86, indicating a low level of self-esteem among university students. Regression analysis revealed that younger age (p =.013), being female (p =.003), reporting higher levels of depression (p <.001), and lower levels of self-esteem (p =.043) predicted higher levels of smartphone addiction.

conclusionsRecognizing the determinants contributing to smartphone addiction among university students can help universities identify students who are at higher risk of developing smartphone addiction, so support can be provided to them. Encouraging those students to enroll in various physical activities may decrease their risk of smartphone addiction. Moreover, public awareness about the risk factors of smartphone addiction might help to raise awareness among students. Nevertheless, it is important to point out that the findings of the study are limited due to the use of cross-sectional design.

Indexed as

Behavior, AddictiveInternet Addiction DisorderSmartphoneStudentsAdolescentAdultAnxietyCross-Sectional StudiesDepressionFemaleHumansJordanMaleSelf ConceptUniversitiesYoung AdultAddictionAnxietyDepressionSelf-esteemSmartphone

Identifiers

PMID41350896
PMCPMC12784609

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LicenceCC BY-NC-ND
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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.