Evidence map›Paper›PMID 35329363›Full record

ArticleInternational journal of environmental research and public health2022

Digital Health Literacy and Information-Seeking Behavior among University College Students during the COVID-19 Pandemic: A Cross-Sectional Study from Denmark.

Carsten K Bak, Jeanne Ø Krammer, Kevin Dadaczynski, Okan Orkan, Jesper von Seelen, Christina Prinds, Lene M Søbjerg, Heidi Klakk

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
15.0field-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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Patterns of Online Stress Management Information-Seeking Behavior in Hungary.International journal of environmental research and public health · 2025
    Article
  9. Article
  10. Article
  11. Effect of Health Literacy and Patient Activation on Health-Seeking Behaviour: A Cross-Sectional Study in Turkey.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  12. Article
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  19. Determinants of COVID-19 Knowledge, Perception and Attitudes in Indonesia: A Cross-Sectional Survey.International journal of environmental research and public health · 2023
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  20. Review
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 2 countries.

Carsten K BakDepartment of Research of Applied Science, University College South Lembckesvej 7, 6100 Haderslev, Denmark.ORCID 0000-0003-3174-7919
Jeanne Ø KrammerDepartment of Research of Applied Science, University College South Lembckesvej 7, 6100 Haderslev, Denmark.ORCID 0000-0003-2143-5102
Kevin DadaczynskiDepartment of Nursing and Health Science, Fulda University of Applied Science, 36037 Fulda, Germany.ORCID 0000-0002-7367-5362
Okan OrkanDepartment of Sport and Health Sciences, Technical University Munich, D80992 Munich, Germany.ORCID 0000-0003-1714-4783
Jesper von SeelenDepartment of Research of Applied Science, University College South Lembckesvej 7, 6100 Haderslev, Denmark.
Christina PrindsDepartment of Research of Applied Science, University College South Lembckesvej 7, 6100 Haderslev, Denmark.
Lene M SøbjergDepartment of Research of Applied Science, University College South Lembckesvej 7, 6100 Haderslev, Denmark.
Heidi KlakkDepartment of Research of Applied Science, University College South Lembckesvej 7, 6100 Haderslev, Denmark.
University College South Denmark · DKUniversity of Southern Denmark · DKLeuphana University of Lüneburg · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic and the concomitant infodemic have emphasized the importance of digital health literacy (DHL) to global public health research and practice. The aim of this study was to examine information-seeking behavior, the ability to find, understand and deal with health information among university college students in Denmark and/in addition we wanted to examine the impact of their close social network on students' ability to find and understand health information. This research was carried out as part of the COVID-HL university student survey by using a uniform questionnaire consisting of elaborated scales. Data were collected from a cross-sectional survey conducted at University College South during 4 weeks in April and May 2020. To capture DHL, four subscales of the DHL instrument were adapted to the pandemic context. A total of 59.9% of the students have sufficient DHL-most students find it rather easy to find information and are satisfied with the information they find on the internet. However, some (28.1%) students find it difficult to judge the quality and reliability of the information. Students with a sufficient level of DHL are more likely to seek information through search engines and websites of official institutions, while students with a limited level of DHL more often use social media for health information. Students with sufficient DHL more often share health information and less often ask for support in their network.

Indexed as

COVID-19Health LiteracyCross-Sectional StudiesDenmarkHumansInformation Seeking BehaviorPandemicsReproducibility of ResultsStudentsUniversitiesCOVID-19Denmarkdigital health literacyinformation seekingsocial networkuniversity college students

Identifiers

PMID35329363
PMCPMC8955471
OpenAlexW4220726929

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.