Evidence map›Paper›PMID 41359110›Full record

ArticleDiscover mental health2025

Unpacking the theoretical role of fear of missing out in the relationship between social networking intensity and well-being among Indian college students.

Satnam Ubeja, Neetu Chhillar, Swaranjeet Arora, Ratnesh Gupta

Abstract read
In one paragraph

Article in Discover mental health, 2025. 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

4 authors.

Satnam UbejaPrestige Institute of Management and Research, Indore, India. Satnam_ubeja@pimrindore.ac.in.
Neetu ChhillarMDI , Gurgaon, India.
Swaranjeet AroraLal Bahadur Shastri Institute of Management, New Delhi, India.
Ratnesh GuptaPrestige Institute of Management and Research, Indore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor today's Indian college students, social media is deeply embedded in daily academic and social life. While digital platforms offer opportunities for connection, they also heighten the fear of missing out (FOMO), which may undermine well-being. This study examines the complex relationship between social networking intensity (SNI), FOMO, and mental well-being (MW), focusing on both mediating and reciprocal dynamics.

methodsA structured survey was conducted among 357 students enrolled in professional courses in Indore, India. Standardized scales measured SNI, FOMO, and MW. Data were analyzed using factor analysis and structural equation modeling (SEM) to test the hypothesized pathways.

resultsFindings confirm that SNI is positively associated with FOMO, and FOMO significantly mediates the relationship between SNI and MW. At the same time, the results suggest a potential bidirectional pattern: students with higher baseline FOMO may engage more intensively in social networking, reinforcing a feedback loop between emotional vulnerability and digital usage.

conclusionThe study highlights that the psychological effects of social networking cannot be reduced to usage time alone but are shaped by reciprocal interactions between emotional experiences and digital behaviors. Interventions should focus on digital literacy, resilience to social comparison, and balanced online engagement. Recognizing the possibility of this feedback loop is critical for designing effective campus-based mental health strategies in India and beyond.

Indexed as

Digital habitsFOMOIndian studentsMental healthSocial media

Identifiers

PMID41359110
PMCPMC12796080

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.