Abstract

Purpose: To develop a valid and feasible short-form corner store audit tool (SCAT) that could be used in-store or over the phone to capture the healthfulness of corner stores. Design: Nonexperimental. Setting: Four New Jersey cities. Subjects: Random selection of 229 and 96 corner stores in rounds 1 and 2, respectively. Measures: An adapted version of the Nutrition Environment Measures Survey for Corner Stores (NEMS-CS) was used to conduct in-store audits. The 7-item SCAT was developed and used for round 2 phone audits. Analysis: Exploratory factor analysis and item response theory were used to develop the SCAT. Results: The SCAT was highly correlated with the adapted NEMS-CS (r =.79). Short-form corner store audit tool scores placed stores in the same healthfulness categories as did the adapted NEMS-CS in 88% of the cases. Phone response matches indicated that store owners did not distinguish between 2% and low-fat milk and tended to round up the fruit and vegetable count to 5 if they had fewer varieties. Conclusion: The SCAT discriminates between higher versus lower healthfulness scores of corner stores and is feasible for use as a phone audit tool.

Original languageEnglish (US)
Pages (from-to)224-232
Number of pages9
JournalAmerican Journal of Health Promotion
Volume32
Issue number1
DOIs
StatePublished - Jan 1 2018

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audit
Vegetables
Patient Selection
Statistical Factor Analysis
nutrition
Fruit
Milk
Fats
Surveys and Questionnaires
vegetables
factor analysis

Keywords

  • built environment
  • corner stores
  • food environment
  • nutrition
  • nutrition audits

ASJC Scopus subject areas

  • Health(social science)
  • Public Health, Environmental and Occupational Health

Cite this

Short-Form Audit Instrument for Assessing Corner Store Healthfulness. / DeWeese, Robin; Todd, Michael; Karpyn, Allison; Yedidia, Michael J.; Kennedy, Michelle; Bruening, Meredith; Wharton, Christopher; Ohri-Vachaspati, Punam.

In: American Journal of Health Promotion, Vol. 32, No. 1, 01.01.2018, p. 224-232.

Research output: Contribution to journalArticle

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