Evidence map›Paper›PMID 38206330›Full record

ArticleJournal of behavioral addictions2024

The impact of long-term online learning on social anxiety and problematic smartphone use symptoms among secondary school students with different levels of fear of missing out: Evidence from a symptom network and longitudinal panel network analysis.

Yanqiang Tao, Qihui Tang, Shujian Wang, Xinyuan Zou, Zijuan Ma, Liang Zhang, Gang Liu, Xiangping Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of behavioral addictions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
13.7field-weighted citation impact, top 1% of its field
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

20 citing papers in PubMed, 27 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Yanqiang Tao1Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.ORCID 0000-0003-0301-3985
Qihui Tang1Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.ORCID 0000-0002-1865-6468
Shujian Wang1Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.ORCID 0000-0003-2462-7468
Xinyuan Zou1Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.ORCID 0009-0008-3952-465X
Zijuan Ma3School of Psychology, South Normal University, Guangzhou, 510631, China.ORCID 0000-0003-2260-1862
Liang Zhang4College Students' Mental Health Education Center, Northeast Agricultural University, Harbin 150030, China.ORCID 0000-0001-6231-8653
Gang Liu5Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China.ORCID 0000-0002-1712-8970
Xiangping Liu1Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.ORCID 0000-0002-8501-4844
Beijing Normal University · CNNanjing Brain Hospital · CNNortheast Agricultural University · CNSouth China Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The advancement of communication technology and the impact of the COVID-19 pandemic have led to an increased reliance on online education. However, the effects of the long-term use of smart devices for online learning on students' social anxiety and problematic smartphone use (PSU) and the role of fear of missing out (FoMO) in this process have yet to be fully explored. Methods: This study analysed longitudinal data from 2,356 high school students (female = 1,137 (48.26%), mean age = 13.84, SD age = 1.37) in China, divided into high- and low-FoMO groups based on their scores on the FoMO scale, to examine the impact of four months of online learning on social anxiety and PSU. The Social Anxiety Scale (SAS) and Mobile Phone Addiction Index (MPAI) were used to assess social anxiety and PSU symptoms. Results: The undirected symptom networks revealed more bridge symptoms among the students in the high-FoMO group, although their overall symptom scores decreased. The results of the directed cross-lagged panel networks showed that "productivity loss" predicted other symptoms in the low-FoMO group but that "afraid of negative evaluation" was the predictor in the high-FoMO group. Meanwhile, "withdrawal/escape" and "productivity loss" were the symptoms that were most affected by other symptoms in the high-FoMO and low-FoMO groups, respectively. Conclusions: The current study therefore sheds light on the changes in social anxiety and PSU symptoms among secondary school students during long-term online learning, as well as the moderating role of FoMO.

Indexed as

Education, DistanceAdolescentAnxietyFearFemaleHumansInfantPandemicsSchoolsSmartphoneStudentsfear of missing outlongitudinal surveynetwork analysisproblematic smartphone usesocial anxiety

Identifiers

PMID38206330
PMCPMC10988399
OpenAlexW4390730217

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.