Evidence map›Paper›PMID 32825349›Full record

ArticleInternational journal of environmental research and public health2020

Predicting Psychological Distress Amid the COVID-19 Pandemic by Machine Learning: Discrimination and Coping Mechanisms of Korean Immigrants in the U.S.

Shinwoo Choi, Joo Young Hong, Yong Je Kim, Hyejoon Park

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. The Short-Term Consequences of COVID-19 on Mental Health: State of the Art from Available Studies.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

4 authors.

Shinwoo ChoiSchool of Social Work, Texas State University, San Marcos, TX 78666, USA.
Joo Young HongDepartment of Exceptional, Deaf, and Interpreter Education, University of North Florida, Jacksonville, FL 32224, USA.
Yong Je KimIngram School of Engineering, Texas State University, San Marcos, TX 78666, USA.ORCID 0000-0003-2970-2607
Hyejoon ParkDepartment of History, Philosophy, and Social Sciences, Pittsburg State University, Pittsburg, KS 66762, USA.

Funding

the National Science Foundation-funded Social Science Extreme Events Research (SSEER) network and the CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder NSF Award #1841338
6 · The paper itself

Abstract

The current study examined the predictive ability of discrimination-related variables, coping mechanisms, and sociodemographic factors on the psychological distress level of Korean immigrants in the U.S. amid the COVID-19 pandemic. Korean immigrants (both foreign-born and U.S.-born) in the U.S. above the age of 18 were invited to participate in an online survey through purposive sampling. In order to verify the variables predicting the level of psychological distress on the final sample from 42 states (

Indexed as

Adaptation, PsychologicalEmigrants and ImmigrantsMachine LearningAdultBetacoronavirusCoronavirus InfectionsCOVID-19FemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralRacismRepublic of KoreaSARS-CoV-2Artificial Neural NetworkCOVID-19Korean immigrantsmental healthracismUnited States

Identifiers

PMID32825349
PMCPMC7504344

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.