Evidence map›Paper›PMID 30845893›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2019

Using the Short Graph Literacy Scale to Predict Precursors of Health Behavior Change.

Yasmina Okan, Eva Janssen, Mirta Galesic, Erika A Waters

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Using Separate Single-Outcome Risk Presentations Instead of Integrated Multioutcome Formats Improves Comprehension in Discrete Choice Experiments.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
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  2. Trial
  3. Trial
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  5. When Does the Incremental Risk Format Aid Informed Medical Decisions? The Role of Learning, Feedback, and Number of Treatment Options.Medical decision making : an international journal of the Society for Medical Decision Making · 2020
    Trial
  6. Article
  7. Article
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  9. Know Your Stripes? An Assessment of Climate Warming Stripes as a Graphical Risk Communication Format.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  10. Article
  11. Observational
  12. Evaluating convergence between two data visualization literacy assessments.Cognitive research: principles and implications · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Visualizing machine learning-based predictions of postpartum depression risk for lay audiences.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  19. Article
  20. Testing Explanations for Skepticism of Personalized Risk Information.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
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.

Yasmina OkanCentre for Decision Research, Leeds University Business School, University of Leeds, Leeds, UK.ORCID 0000-0001-7963-1363
Eva JanssenDepartment of Work and Social Psychology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Mirta GalesicSanta Fe Institute, Santa Fe, NM, USA.
Erika A WatersWashington University School of Medicine, Division of Public Health Sciences, Saint Louis, MO, USA.ORCID 0000-0001-7402-0133

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
COMMUNICATING MULTIPLE DISEASE RISKS: A TRANSLATION OF RISK PREDICTION SCIENCER01CA190391 · NCI · WASHINGTON UNIVERSITY · PI WATERS, ERIKA A · 2015 to 2018
$1.4M
Cancer Research UK 22182Cancer Research UK C57775/A22182NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCI NIH HHS R01 CA190391
6 · The paper itself

Abstract

backgroundVisual displays can facilitate risk communication and promote better health choices. Their effectiveness in improving risk comprehension is influenced by graph literacy. However, the construct of graph literacy is still insufficiently understood, partially because existing objective measures of graph literacy are either too difficult or too long.

objectivesWe constructed a new 4-item Short Graph Literacy (SGL) scale and examined how SGL scores relate to key cognitive, affective, and conative precursors of health behavior change described in common health behavior theories.

methodsWe performed secondary analyses to adapt the SGL scale from an existing 13-item scale. The initial construction was based on data collected in a laboratory setting in Germany ( n = 51). The scale was then validated using data from nationally representative samples in Germany ( n = 495) and the United States ( n = 492). To examine how SGL scores relate to precursors of health behavior change, we performed secondary analyses of a third study involving a nationwide US sample with 47% participants belonging to racial/ethnic minorities and 46% with limited formal education ( n = 835).

resultsGraph literacy was significantly associated with cognitive precursors in theoretically expected ways (e.g., positive associations with risk comprehension and response efficacy and a negative association with cognitive risk perception). Patterns for affective precursors generally mirrored those for cognitive precursors, although numeracy was a stronger predictor than graph literacy for some affective factors (e.g., feelings of risk). Graph literacy had predictive value for most cognitive and affective precursors beyond numeracy. In addition, graph literacy (but not numeracy) predicted key conative precursors such as defensive processing.

conclusionsOur data suggest that the SGL scale is a fast and psychometrically valid method for measuring objective graph literacy. Our findings also highlight the theoretical and practical relevance of graph literacy.

Indexed as

Health BehaviorAdolescentAdultAnalysis of VarianceBehavior TherapyFemaleGermanyHealth LiteracyHumansMalePsychometricsSurveys and Questionnairesgraph literacyhealth behaviorindividual differencesrisk communicationrisk perceptionvisual aids

Identifiers

PMID30845893
PMCPMC6470031

What OpenQuestion holds

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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.