Evidence map›Paper›PMID 40701443›Full record

ArticleThe Journal of nutrition2025

Household Nutrition Security Scale (HNSS): Further Establishing Validity and Reliability in a Statewide Sample in Massachusetts.

Eric E Calloway, Amy L Yaroch, Cara F Ruggerio, Meghan E Perkins, Christopher R Long, James P Marriott, Allison J Wu, Man Luo, Kieley L Chapman, Anisha Gundewar and 2 more

Abstract read
In one paragraph

Article in The Journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Eric E CallowayCenter for Nutrition and Health Impact, Omaha, NE, United States. Electronic address: ecalloway@centerfornutrition.org.
Amy L YarochCenter for Nutrition and Health Impact, Omaha, NE, United States.
Cara F RuggerioDivision of Gastroenterology and Nutrition, Mass General Brigham, Boston, MA, United States; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Meghan E PerkinsDivision of Gastroenterology and Nutrition, Mass General Brigham, Boston, MA, United States.
Christopher R LongCenter for Nutrition and Health Impact, Omaha, NE, United States.
James P MarriottCenter for Nutrition and Health Impact, Omaha, NE, United States.
Allison J WuDivision of Gastroenterology, Hepatology, and Nutrition, Boston Children's Hospital, Boston, MA, United States.
Man LuoDivision of Gastroenterology and Nutrition, Mass General Brigham, Boston, MA, United States.
Kieley L ChapmanDivision of Gastroenterology, Hepatology, and Nutrition, Boston Children's Hospital, Boston, MA, United States.
Anisha GundewarDivision of Gastroenterology and Nutrition, Mass General Brigham, Boston, MA, United States.
Daniel TaitelbaumThe Greater Boston Food Bank, Boston, MA, United States.
Lauren FiechtnerDivision of Gastroenterology and Nutrition, Mass General Brigham, Boston, MA, United States; The Greater Boston Food Bank, Boston, MA, United States.

Funding

TRAINING IN PEDIATRIC GASTROENTEROLOGY &NUTRITIONT32DK007477 · NIDDK · CHILDREN'S HOSPITAL BOSTON · PI Scott B Snapper · 1986 to 2026
$13.3M
Intervening in Food Insecurity to Reduce and Mitigate (InFoRM) Childhood ObesityK23DK135822 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI Allison Jane Wu · 2024 to 2026
$586k
AHRQ HHS T32 HS000063NIDDK NIH HHS K23 DK135822NIDDK NIH HHS T32 DK007477
6 · The paper itself

Abstract

backgroundOne of the first survey measures for assessing nutrition security in the United States is referred to as the Household Nutrition Security Scale (HNSS). Although the analyses conducted in the original HNSS development study supported the validity and reliability of the scale, some survey development steps were beyond the scope of the original study, such as confirmatory factor analysis (CFA) and differential item functioning (DIF).

objectivesThis study aims to conduct CFA and DIF analyses on the HNSS within a new statewide sample in Massachusetts.

methodsFrom November 2022 to January 2023, the Greater Boston Food Bank and Mass General Brigham conducted a cross-sectional, statewide, representative survey of Massachusetts adults. In addition to other topics, respondents answered questions about sociodemographics and completed the HNSS. To assess CFA model fit, the Satorra-Bentler scaled chi-squared test, root mean square error of approximation (RMSEA), standardized root mean square residual (SRMR), and the Bentler Comparative Fit Index (CFI) were calculated. Cronbach's alpha was calculated to assess internal consistency. The Cochran-Mantel-Haenszel procedure was used to investigate DIF across demographic groups.

resultsParticipants in the analytic sample (n = 2903) were mostly at or under age 54 (60.7%), women (58.0%), non-Hispanic White (71.3%), and with household incomes <$75,000 (71.1%). CFA model fit metrics were well within thresholds for adequate model fit [chi-square 5.213 (Degrees of freedom (DF) = 2, P = 0.074), RMSEA = 0.024 (95% confidence interval: 0.000, 0.049), SRMR = 0.006, and CFI = 0.999]. Cronbach's alpha was 0.923. There was no indication of DIF for any of the 4 items across groups for age, race/ethnicity, gender, educational attainment, income, having children in the household, or household size.

conclusionsThese findings further support construct validity and reliability of HNSS, and the further use of the scale for research and program evaluation purposes within sociodemographically diverse samples of households.

Indexed as

confirmatory factor analysisdifferential item functioningfood securitymeasurement developmentnutrition securityreliabilityvalidation

Identifiers

PMID40701443
PMCPMC12416916

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Registered trials

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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.