Evidence map›Paper›PMID 40012767›Full record

ArticleFrontiers in digital health2025

Predictors of smartphone addiction and its effect on quality of life: a cross-sectional study among the young adults in Bangladesh.

Zubair Ahmed Ratan, Anne-Maree Parrish, Mohammad Saud Alotaibi, Hassan Hosseinzadeh

Abstract read
In one paragraph

Article in Frontiers in digital health, 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

4 authors.

Zubair Ahmed RatanFaculty of the Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, Australia.
Anne-Maree ParrishFaculty of the Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, Australia.
Mohammad Saud AlotaibiDepartment of Social Work, College of Social Sciences, Umm Al-Qura University, Mecca, Saudi Arabia.
Hassan HosseinzadehFaculty of the Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The enigma of smartphone addiction (SA) has plagued academics for the last decade, now scholars believed this behaviour might affect physical and mental wellbeing. SA has become a complex problem, yet to date, there is limited research investigating the predictors of SA and its effect on "health-related quality of life (HRQoL)". This study aimed to address this gap. The data was gathered from a convenience sample of 440 young adults completed between July 2021 and February 2022 through online survey in Bangladesh. On Logistic regression, after controlling for socio-demographic variables; friend support, process, social and compulsive usage were determined as significant predictors of SA. Those who were smartphone addicted were more presumably to have a lower quality of life. This study has significant implications for designing prevention pro-grams and policy development in relation to predictors of SA and its effect on HRQoL.

Indexed as

Bangladeshcompulsive usagepredictorsquality of lifesmartphone addiction

Identifiers

PMID40012767
PMCPMC11861494

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.