Evidence map›Paper›PMID 38885019›Full record

ArticleJMIR formative research2024

How College Students Used Information From Institutions of Higher Education in the United States During COVID-19: Web-Based Cross-Sectional Survey Study.

Emmanuel Peprah, Etornam Amesimeku, Brian Angulo, Himani Chhetri, Judy Fordjuoh, Christina Ruan, Cong Wang, John Patena, Dorice Vieira, Nessa Ryan and 3 more

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Emmanuel Peprah *Implementing Evidence-Based Interventions Through Engagement (ISEE) Lab, Department of Global and Environmental Health, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-0495-7016
Etornam Amesimeku *Implementing Evidence-Based Interventions Through Engagement (ISEE) Lab, Department of Global and Environmental Health, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0009-0002-7463-3751
Brian AnguloImplementing Evidence-Based Interventions Through Engagement (ISEE) Lab, Department of Global and Environmental Health, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0009-0004-2303-5270
Himani ChhetriImplementing Evidence-Based Interventions Through Engagement (ISEE) Lab, Department of Global and Environmental Health, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0009-0007-7378-6517
Judy FordjuohImplementing Evidence-Based Interventions Through Engagement (ISEE) Lab, Department of Global and Environmental Health, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-6867-3071
Christina RuanImplementing Evidence-Based Interventions Through Engagement (ISEE) Lab, Department of Global and Environmental Health, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0000-0001-6583-6448
Cong WangDepartment of Biostatistics, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0009-0006-2471-3808
John PatenaImplementing Evidence-Based Interventions Through Engagement (ISEE) Lab, Department of Global and Environmental Health, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-4652-1712
Dorice VieiraNew York University Grossman School of Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0003-4232-9413
Nessa RyanImplementing Evidence-Based Interventions Through Engagement (ISEE) Lab, Department of Global and Environmental Health, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-8051-0021
Chukwuemeka IloegbuImplementing Evidence-Based Interventions Through Engagement (ISEE) Lab, Department of Global and Environmental Health, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0009-0006-3167-3111
Joyce GyamfiImplementing Evidence-Based Interventions Through Engagement (ISEE) Lab, Department of Global and Environmental Health, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0000-0001-5037-0833
Jonathan OdumegwuDepartment of Biostatistics, New York University School of Global Public Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-4508-7907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe start of the COVID-19 pandemic resulted in the implementation of nonpharmaceutical interventions by US institutions of higher education at an unprecedented level. During the backdrop of an emerging pandemic, younger adults (eg, college students) had an overall lower risk for severe outcomes for SARS-CoV-2, making this population a potential source of transmission for age groups with high susceptibility and negative health outcomes. We examine how college students' level of concern for COVID-19 was influenced by different sources of information, their living status, income level, and other demographic identifiers and its association with prevention behavior change.

objectiveWe sought to examine the level of concern, defined as the extent to which the participant would take corrective action to mitigate contracting or spreading the virus (to family or friends) by using personal protective equipment such as a face mask, practicing social distancing, and following other public health recommendations, among college students during the COVID-19 pandemic.

methodsA cross-sectional, web-based survey was conducted in 2021 among 185 college students aged 18-41 years, with most living in New York City and the United States (n=134, 72.4%). Out of 185 college students, 94 provided their zip codes, with 51 of those college students indicating they lived in New York City areas. The participants completed the survey via a QR code. Study participants who did not complete the full survey or were not college students in any US college or university were excluded. Analyses were conducted using R (version 4.2.2; R Foundation for Statistical Computing).

resultsOf 185 respondents participated in the study, 25 (13.5.%) used emails from their schools, 51 (27.6%) used mainstream media, and 109 (58.9%) used social media and other sources to obtain information about COVID-19. Of the 109 participants who learned about the pandemic from social media, 91 (83.5%) were concerned; however, only 63% (32/51) and 60% (15/25) of the participants who sourced information from mainstream media and their schools' email, respectively, were concerned. Further, the participants who received information from social media and other sources were about 3 times more likely to be concerned about COVID-19 than participants who received information from the university via email (P=.036; OR=3.07, 95% CI: 1.06-8.83)..

conclusionsCollege students who received information from social media and other sources were more likely to be concerned about COVID-19 than students who received information from their school via emails.

Indexed as

anxietyawarenesscollegeconcernCOVID-19cross-sectionaldisseminationhealth informationhigher educationhigher learninginformation sourceinformation spreadmaskspandemicperceptionspersonal protective equipmentpostsecondarypreventativepreventionpublic healthsocial distancingsocial mediastudentssurveysuniversityuniversity studentsweb-based informationworryyoung adultyoung adults

Identifiers

PMID38885019
PMCPMC11217704

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.