Evidence map›Paper›PMID 35385213›Full record

ArticlePsyCh journal2022

The association between intolerance of uncertainty and Internet addiction during the second wave of the coronavirus disease 2019 pandemic: A multiple mediation model considering depression and risk perception.

Ronglei Luo, Qi Li, Guangteng Meng, Ya Zheng, Kesong Hu, Xiaoya Zhang, Bibing Dai, Xun Liu

Open access · greenAbstract read
In one paragraph

Article in PsyCh journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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  14. The Application of the Intolerance of Uncertainty Model to Gambling Urge and Involvement.International journal of environmental research and public health · 2022
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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 5 institutions in 2 countries.

Ronglei LuoDepartment of Psychiatry and Psychology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Qi LiBeijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China.
Guangteng MengCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Ya ZhengDepartment of Psychology, Dalian Medical University, Dalian, China.
Kesong HuDepartment of Psychology, Lake Superior State University, Sault St. Marie, Michigan, USA.
Xiaoya ZhangCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Bibing DaiDepartment of Psychiatry and Psychology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0003-2460-9155
Xun LiuCAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.ORCID https://orcid.org/0000-0003-1366-8926
Institute of Psychology, Chinese Academy of Sciences · CNTianjin Medical University · CNCapital Normal University · CNDalian Medical University · CNLake Superior State University · US

Funding

The Key Project of Beijing Education Science Planning, Reevaluation and Cognitive Training to Treat College Students with Internet Addiction (BEAA21046)
6 · The paper itself

Abstract

Repeated outbreaks of coronavirus disease 2019 (COVID-19) have forced people to shift most of their work and life activities from offline to online, leading to a growing problem of Internet dependence and even Internet addiction. However, the mechanism of the association between COVID-19-related intolerance of uncertainty (COVID-19 IU) and Internet addiction during the second wave of COVID-19 is still unclear. The current study explored the association between COVID-19 IU and Internet addiction as mediated by depression and risk perception based on the Uncertainty-Depression-Perception-Addiction model (UDPA). A total of 1,137 adult participants were recruited, and COVID-19 IU, depression, risk perception, Internet addiction, and demographic variables were analyzed. The results showed that COVID-19 IU was significantly and positively associated with Internet addiction and that this relationship was mediated in parallel by depression and risk perception. Our findings further extend the Interaction of Person-Affect-Cognition-Execution (I-PACE) model from the perspective of applicability in the unique context of COVID-19. Furthermore, the study suggests that individuals could decrease their dependence on the Internet to prevent Internet addiction during the second wave of the pandemic through effective interventions that include lowering COVID-19 IU, improving emotion regulation, and developing reasonable perceptions of risk.

Indexed as

COVID-19AdultDepressionHumansInternetInternet Addiction DisorderPandemicsPerceptionSARS-CoV-2UncertaintydepressionInternet addictionintolerance of uncertaintyrisk perceptionthe second wave of coronavirus disease 2019

Identifiers

PMID35385213
PMCPMC9088591
OpenAlexW4224221936

What Socratic holds

Textmetadata
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 Socratic graph.