Literature DB >> 24819996

Development and Reliability Testing of a Fast-Food Restaurant Observation Form.

Leah Rimkus, Punam Ohri-Vachaspati, Lisa M Powell, Shannon N Zenk, Christopher M Quinn, Dianne C Barker, Oksana Pugach, Elissa A Resnick, Frank J Chaloupka.   

Abstract

PURPOSE: To develop a reliable observational data collection instrument to measure characteristics of the fast-food restaurant environment likely to influence consumer behaviors, including product availability, pricing, and promotion.
DESIGN: The study used observational data collection.
SETTING: Restaurants were in the Chicago Metropolitan Statistical Area.
SUBJECTS: A total of 131 chain fast-food restaurant outlets were included. MEASURES: Interrater reliability was measured for product availability, pricing, and promotion measures on a fast-food restaurant observational data collection instrument. ANALYSIS: Analysis was done with Cohen's κ coefficient and proportion of overall agreement for categorical variables and intraclass correlation coefficient (ICC) for continuous variables.
RESULTS: Interrater reliability, as measured by average κ coefficient, was .79 for menu characteristics, .84 for kids' menu characteristics, .92 for food availability and sizes, .85 for beverage availability and sizes, .78 for measures on the availability of nutrition information,.75 for characteristics of exterior advertisements, and .62 and .90 for exterior and interior characteristics measures, respectively. For continuous measures, average ICC was .88 for food pricing measures, .83 for beverage prices, and .65 for counts of exterior advertisements.
CONCLUSION: Over 85% of measures demonstrated substantial or almost perfect agreement. Although some measures required revision or protocol clarification, results from this study suggest that the instrument may be used to reliably measure the fast-food restaurant environment.

Keywords:  Environment; Fast-Food Restaurants; Health focus: nutrition, weight control; Manuscript format: research; Marketing; Outcome measure: other environmental; Prevention Research; Reliability; Research purpose: instrument development; Setting: local community; Strategy: policy, built environment; Study design: observational research; Target population age: youth, adults, seniors; Target population circumstances: Chicago Metropolitan Statistical Area, all education levels, all income levels, all races/ethnicities

Mesh:

Year:  2014        PMID: 24819996     DOI: 10.4278/ajhp.130731-QUAN-389

Source DB:  PubMed          Journal:  Am J Health Promot        ISSN: 0890-1171


  3 in total

1.  Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Environmental Domain.

Authors:  Brian E Saelens; S Sonia Arteaga; David Berrigan; Rachel M Ballard; Amy A Gorin; Tiffany M Powell-Wiley; Charlotte Pratt; Jill Reedy; Shannon N Zenk
Journal:  Obesity (Silver Spring)       Date:  2018-04       Impact factor: 5.002

2.  Marketing to Children Inside Quick Service Restaurants: Differences by Community Demographics.

Authors:  Juliana F W Cohen; Kristen Cooksey Stowers; Marlaina Rohmann; Nicole Lapierre; Eric B Rimm; Sean B Cash; Kirsten K Davison; Kyle McInnis; Christina D Economos
Journal:  Am J Prev Med       Date:  2021-05-11       Impact factor: 6.604

3.  Evaluating the use of in-store measures in retail food stores and restaurants in Brazil.

Authors:  Ana Clara Duran; Karen Lock; Maria do Rosario D O Latorre; Patricia Constante Jaime
Journal:  Rev Saude Publica       Date:  2015-10-30       Impact factor: 2.106

  3 in total

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