Evidence map›Paper›PMID 30120636›Full record

ArticleJournal of general internal medicine2018

Examining the Interrelations Among Objective and Subjective Health Literacy and Numeracy and Their Associations with Health Knowledge.

Erika A Waters, Caitlin Biddle, Kimberly A Kaphingst, Elizabeth Schofield, Marc T Kiviniemi, Heather Orom, Yuelin Li, Jennifer L Hay

Abstract read
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Article in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Health Literacy in Pregnant Women: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  3. Pooled it
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  8. Assessing health literacy and diversity within the All of Us Research Program.Journal of the American Medical Informatics Association : JAMIA · 2025
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  18. Using the Short Graph Literacy Scale to Predict Precursors of Health Behavior Change.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
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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.

Erika A WatersWashington University in St. Louis, 660 S. Euclid Ave, Campus Box 8100, St. Louis, MO, 63110, USA. waterse@wustl.edu.
Caitlin BiddleUniversity at Buffalo - State University of New York, Buffalo, USA.
Kimberly A KaphingstUniversity of Utah, Salt Lake City, USA.
Elizabeth SchofieldMemorial Sloan Kettering Cancer Center, New York, USA.
Marc T KiviniemiUniversity at Buffalo - State University of New York, Buffalo, USA.
Heather OromUniversity at Buffalo - State University of New York, Buffalo, USA.
Yuelin LiMemorial Sloan Kettering Cancer Center, New York, USA.
Jennifer L HayMemorial Sloan Kettering Cancer Center, New York, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
"Don't Know" Responses to Risk Perception Questions: Identifying Mechanisms and SolutionsR01CA197351 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI HAY, JENNIFER L, OROM, HEATHER · 2015 to 2018
$1.4M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA197351
6 · The paper itself

Abstract

backgroundHealth literacy and numeracy influence many health-related behaviors and outcomes. Health literacy and numeracy have been assessed objectively and subjectively, but interrelationships among the measures and the consistency of their association with health knowledge have not been examined.

objectiveTo increase understanding of the structure and interrelations among objective and subjective health literacy and numeracy and how these constructs relate to knowledge of risk factors of two major diseases.

designSecondary analysis of cross-sectional survey data, weighted to be representative of the general US population of non-institutionalized adults.

participantsParticipants (N = 1005, 55.2% response rate) were recruited from GfK KnowledgePanel. The unweighted sample included 52% women, 26% racial/ethnic minorities, and 37% with no college experience. MAIN MEASURES: Objective health literacy, subjective health literacy, objective numeracy, subjective numeracy. Objective and perceived knowledge of diabetes and colon cancer risk factors were also assessed. KEY

resultsConfirmatory factor analyses indicated that a model with correlated (r = 0.16-0.56) but separate factors for each of the four literacy/numeracy constructs best fit the data (RMSEA = 0.055 (95% CI 0.049-0.061), CFI = 0.94). Consistency between measures in classifying people as having adequate or limited health literacy or numeracy was 60.9-77.1%, depending on the combination of measures. All four literacy/numeracy constructs were independently associated with objective diabetes knowledge and objective colon cancer knowledge (all ps < .04). Subjective (but not objective) literacy and numeracy measures were associated with diabetes perceived knowledge (all ps < .02). No literacy/numeracy measures were associated with perceived colon cancer knowledge.

conclusionsWe identified objective and subjective health literacy and numeracy as four distinct but related concepts. We also found that each construct accounts for unique variance in objective (but not subjective) disease knowledge. Until research uncovers what psychological processes drive subjective measures (e.g., motivation, self-efficacy), research investigating the relationship between health literacy and health outcomes should consider assessing all four measures.

Indexed as

Diagnostic Self EvaluationHealth Knowledge, Attitudes, PracticeSurveys and QuestionnairesAdultAgedCross-Sectional StudiesFemaleHealth LiteracyHumansMaleMiddle Agedcolon cancerdiabeteshealth literacyknowledgenumeracy

Identifiers

PMID30120636
PMCPMC6206359

What OpenQuestion holds

Textmetadata
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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.