Evidence map›Paper›PMID 41692824›Full record

ArticleBMC psychology2026

Is your phone ruining your well-being? Exploring the role of phubbing and mobile phone usage addiction on the well-being of users.

Prerana Baber, Ruturaj Baber

Abstract read
In one paragraph

Article in BMC psychology, 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

2 authors.

Prerana BaberSymbiosis Law School, Symbiosis International Deemed University Pune, Noida, India. prerana.baber@symlaw.edu.in.
Ruturaj BaberSchool of Business & Management, Christ University, Bengaluru, Karnataka, India. ruturajbaber@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe consumption of mobile screen time is increasing day by day. When a person engages with the mobile phone for an extended period of time, it depicts addiction and escapes from the surroundings, leading to phubbing behavior. Therefore, this study investigates mobile phone addiction and how phubbing behavior affects psychological well-being. In addition, this paper examines the moderating role of self-determination theory in the aforesaid relationship.

methodsTo examine the cause-and-effect relationship among the examined variables, PLS-SEM is used as a statistical tool for analysis. The data was collected from 450 participants via a survey through mall-intercept method, using a non-probability purposive sampling technique.

resultsThe results exhibited that mobile phone addiction is a significant determinant of phubbing behavior and well-being. The results also indicated that phubbing behavior negatively influences the well-being of the mobile phone user. It was also found that need satisfaction theory moderated the relationship between mobile phone usage, phubbing behavior, and well-being. The role of gender and time spent on mobile phones as control variables was also found to be significant. ORIGINALITY: This current study offers insights into mobile phone addiction, phubbing behavior, and well-being, offering theoretical and practical implications for digital health, underpinned by the need satisfaction theory on the mobile phone user.

Indexed as

Behavior, AddictiveCell PhoneCell Phone UsePersonal AutonomyPsychological Well-BeingAdultFemaleHumansMaleYoung AdultA-C-E frameworkMobile phone addictionNeed SatisfactionPhubbing behaviourSelf Determination theoryWell Being

Identifiers

PMID41692824
PMCPMC13023186

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.