Evidence map›Paper›PMID 33016617›Full record

ArticleApplied psychology. Health and well-being2020

Different Trajectories of Panic and the Associated Factors among Unmarried Chinese during the COVID-19 Pandemic.

Yuxin Tan, Xiuyun Lin, Dazhou Wu, Hui Chen, Yongqiang Jiang, Ting He, Jinxiu Yin, Yingying Tang

Open access · bronzeAbstract read
In one paragraph

Article in Applied psychology. Health and well-being, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Post-COVID-19 physical and mental quality of life: a latent profile analysis and predictive factors.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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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 1 institution in 1 country.

Yuxin TanFaculty of Psychology, Beijing Normal University, China.
Xiuyun LinFaculty of Psychology, Beijing Normal University, China.ORCID 0000-0001-6006-2893
Dazhou WuFaculty of Psychology, Beijing Normal University, China.
Hui ChenFaculty of Psychology, Beijing Normal University, China.
Yongqiang JiangFaculty of Psychology, Beijing Normal University, China.
Ting HeFaculty of Psychology, Beijing Normal University, China.
Jinxiu YinFaculty of Psychology, Beijing Normal University, China.
Yingying TangFaculty of Psychology, Beijing Normal University, China.
Beijing Normal University · CN

Funding

National Key R&D Program of China 2018YFC0810600The COVID-19 Mental Health Support Project of the Department of Psychology of Beijing Normal UniversityThe COVID-19 Prevention and Research Emergency Project of Beijing Normal University 310430002
6 · The paper itself

Abstract

backgroundA large number of the population experienced panic during the pandemic of the coronavirus disease 2019 (COVID-19) in China. The current study explored the trajectory of panic and its associated factors to develop promising strategies for controlling the global spread of COVID-19 and improving the mental health emergency management.

methodsA total of 812 unmarried adults (aged from 18 to 42 years, M = 23.3, SD = 3.45) from all over China participated online in our investigation. A Growth Mixture Model (GMM) was developed and analysed.

resultsThree classes of trajectories for panic were identified: the "continuous decline group (CDG)", the "continuous low group (CLG)," and the "continuous high group (CHG)". With reference to the CDG, people in the CHG were more sensitive to social factors. With reference to the CDG, people in the CLG were more likely to possess some of the following traits: being men, in Hubei Province (center of the pandemic), with a lower income, and less sensitive towards social factors and individual factors. With reference to the CLG, people in the CHG were more likely to be women, located outside of Hubei Province, and more sensitive to social factors, family factors, and individual factors.

conclusionSocial factors, family factors, and individual factors predicted the different trajectories of panic.

Indexed as

Socioeconomic FactorsAdolescentAdultAnxietyChinaFemaleHumansMalePanicSex FactorsSingle PersonSocial FactorsYoung AdultCOVID-19family factorsindividual factorspanicsocial factorstrajectory

Identifiers

PMID33016617
PMCPMC7675528
OpenAlexW3090452805

What OpenQuestion 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 OpenQuestion graph.