Natalie S Poulos1, Keryn E Pasch2, Melissa N Laska3. 1. Department of Nutritional Sciences, University of Texas at Austin, Austin, TX. 2. Department of Kinesiology and Health Education, University of Texas at Austin, Austin, TX. 3. Department of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN.
Abstract
OBJECTIVE: To develop an informed, reliable data collection tool to code restaurants found within the youth food environment. METHODS: Registered Dietitians were surveyed and academic literature review was reviewed to determine health centric food environment features. Features were incorporated into an electronic data collection tool. Inter-rater reliability was tested across coders of varying nutrition training on all restaurants located within a half-mile of three high schools. RESULTS: Sixteen restaurant food environment codes were generated. Data collection had a mean inter-rater reliability of 90.7% agreement (range=81.3-100%), suggesting that regardless of nutrition training, the restaurant food environment can be reliability coded. CONCLUSIONS: Academic and public health professionals can use this tool to collect reliable, informed local restaurant food environment data.
OBJECTIVE: To develop an informed, reliable data collection tool to code restaurants found within the youth food environment. METHODS: Registered Dietitians were surveyed and academic literature review was reviewed to determine health centric food environment features. Features were incorporated into an electronic data collection tool. Inter-rater reliability was tested across coders of varying nutrition training on all restaurants located within a half-mile of three high schools. RESULTS: Sixteen restaurant food environment codes were generated. Data collection had a mean inter-rater reliability of 90.7% agreement (range=81.3-100%), suggesting that regardless of nutrition training, the restaurant food environment can be reliability coded. CONCLUSIONS: Academic and public health professionals can use this tool to collect reliable, informed local restaurant food environment data.
Authors: Leah Rimkus; Lisa M Powell; Shannon N Zenk; Euna Han; Punam Ohri-Vachaspati; Oksana Pugach; Dianne C Barker; Elissa A Resnick; Christopher M Quinn; Jaana Myllyluoma; Frank J Chaloupka Journal: J Nutr Educ Behav Date: 2013-05-30 Impact factor: 3.045
Authors: John J Reilly; Julie Armstrong; Ahmad R Dorosty; Pauline M Emmett; A Ness; I Rogers; Colin Steer; Andrea Sherriff Journal: BMJ Date: 2005-05-20