Evidence map›Paper›PMID 39544923›Full record

ArticleDigital health

Influence of social and psychological factors on smartphone usage during the COVID-19 pandemic.

Hyeon Jo, Donghyuk Shin

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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.

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 synthesis or guideline pooled it.

  1. Pooled it
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.

Hyeon JoHJ Institute of Technology and Management, Bucheon, Republic of Korea.ORCID https://orcid.org/0000-0001-7442-4736
Donghyuk ShinOperations Department, Secufind Co., Ltd 584, Gangnam-daero, Gangnam-gu, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates the influence of psychological factors-specifically affective and cognitive risk perceptions, social distancing attitudes, subjective norms, and cabin fever syndrome-on smartphone usage intensity during the COVID-19 pandemic, with a particular focus on university students. Methods: Utilizing a cross-sectional survey design, data were collected from 314 university students from South Korea and Vietnam. Structural equation modeling was employed to analyze the relationships between the psychological constructs and their impact on smartphone usage. Results: The analysis confirms that both affective and cognitive risk perceptions significantly influence attitudes towards social distancing. Furthermore, these social distancing attitudes are found to significantly affect cabin fever syndrome, suggesting that positive attitudes towards social distancing are closely associated with higher reports of cabin fever. Notably, cabin fever syndrome emerges as a significant predictor of increased smartphone usage, underscoring its role as a mediator between prolonged isolation and digital engagement. Additionally, subjective norms are also shown to significantly influence smartphone usage intensity, highlighting the impact of social expectations on digital behaviors during the pandemic. Conclusion: The study highlights the complex interplay between psychological distress induced by social restrictions and increased reliance on digital technology for social connectivity. These insights suggest that mental health interventions and digital literacy programs tailored to university students' needs can be effective in managing the negative impacts of prolonged social isolation.

Indexed as

Behavioral responsescabin fever syndromecognitive risk perceptionpandemicsmartphone usagesocial distancing

Identifiers

PMID39544923
PMCPMC11561998

What OpenQuestion holds

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LicenceCC BY-NC
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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.