Evidence map›Paper›PMID 40443692›Full record

ArticleDiscover public health2025

Developing subscale threshold scores for the nutrition literacy assessment instrument (NLit).

Nicholas J Marchello, Juliana T Camargo, Byron J Gajewski, Debra K Sullivan, Heather D Gibbs

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Article in Discover public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nicholas J MarchelloDepartment of Nutrition, Kinesiology, and Health, University of Central Missouri, Warrensburg, MO 64093 USA.ORCID 0000-0003-3144-7617
Juliana T CamargoDepartment of Dietetics and Nutrition, University of Kansas Medical Center, 3901 Rainbow Boulevard Mail Stop 4013, Kansas City, KS 66160 USA.ORCID 0000-0003-0288-7744
Byron J GajewskiDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS 66160 USA.ORCID 0000-0001-7589-8247
Debra K SullivanDepartment of Dietetics and Nutrition, University of Kansas Medical Center, 3901 Rainbow Boulevard Mail Stop 4013, Kansas City, KS 66160 USA.ORCID 0000-0003-1694-5829
Heather D GibbsDepartment of Dietetics and Nutrition, University of Kansas Medical Center, 3901 Rainbow Boulevard Mail Stop 4013, Kansas City, KS 66160 USA.ORCID 0000-0001-7383-5496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Understanding a patient's nutrition literacy weaknesses may aid in improving the patient's nutrition literacy and diet quality. The Nutrition Literacy Assessment Instrument (NLit) was developed to fill this knowledge gap. Global NLit cutoff scores were previously developed; however, subscale NLit cutoff scores are needed. Design: In this secondary analysis, individual post hoc linear regressions were calculated for each NLit subscale to determine scoring thresholds for each NLit subscale. Scoring thresholds were determined for both long- and short-form NLit subscales. Setting: Two University-affiliated general practice clinics and two University-affiliated safety net clinics were used as recruitment sites. Participants: Patients (n = 402) with self-reported hyperlipidemia, hypertension, diabetes, or obesity were included in primary analysis from which data in this secondary analysis were derived. Results: Subscale scores were associated with predicted Healthy Eating Index (HEI)-2010 scores linked to increased risk for mortality. Tenth-percentile NLit scores were associated with HEI-2010 scores between 59.33 and 62.27 (by subscale) for the long-form NLit, and between 60.12 and 61.77 for the short-form NLit. Conclusions: NLit cutoff scores can pinpoint capacity with nutrition information by subscale. Identifying nutrition literacy deficits may allow nutrition professionals to better focus interventions. Supplementary Information: The online version contains supplementary material available at 10.1186/s12982-025-00677-5.

Identifiers

PMID40443692
PMCPMC12116843

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