Fruit and vegetable desirability is lower in more rural built food environments of Montana, USA using the Produce Desirability (ProDes) Tool
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The main objective of this study is to present a food environment measure, the Produce Desirability (ProDes) Tool, to assess consumer desirability of fruits and vegetables (FVs) based on generalizable sensory characteristics that can be applied in diverse socio-ecological contexts. We implemented the ProDes Tool in rural and urban built food environments (grocery stores) in 11 counties in the frontier state of Montana, United States, towards elucidating access gaps to desirable produce based on rurality of location. Total ProDes scores were calculated by averaging the five sensory parameters of the tool (overall desirability, visual appeal, touch and firmness, aroma, and size) for individual and total FVs. We statistically analyzed the relationship of ProDes scores by FV type, rurality, Nutrition Environment Measurement Scores for Stores (NEMS-S), and price. Mean Total ProDes scores for all produce was 3.5 (SD = 0.7), or low to moderate, on a 7-point scale (0 to 6). Significant differences (p < 0.0001) in means of Total ProDes scores were found on the basis of rurality with FVs from the rural food environments having lower scores compared to the urban food environments. There was no significant relationship for Total ProDes Scores by NEMS-S Total Scores (p = 0.880; r = −0.019), NEMS-S Availability scores (p = 0.926; r = 0.012), NEMS-S Quality scores (p = 0.457; r = 0.095), and for the majority of NEMS-S acceptable ratings for individual produce. A significant negative relationship was found between price and the ProDes sensory parameter of touch and firmness (p < 0.0029) for total fruit. Findings support our overall hypothesis that FV desirability as measured by the ProDes Tool varies based on rurality of location of the built food environment in Montana. The lack of correlation of Total ProDes scores with NEMS-S scores rationalizes the need of the ProDes Tool to accompany existing food environment tools to more comprehensively characterize the food environment.
KeywordsFood environment Fruits and Vegetables Sensory analysis Desirability NEMS-s
The authors received funding support for the study presented here from the National Institute of General Medical Sciences of the National Institutes of Health under Award Number P20GM103474 and Award Number 5P20GM104417 and the National Science Foundation RII Track-2 FEC 1632810. The content presented here is solely the responsibility of the authors and does not represent the official views of the National Institutes of Health or the National Science Foundation. We are grateful to the consumer raters in our study for rating FVs using the ProDes Tool.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest to disclose.
- Afshin, A., Peñalvo, J. L., Del Gobbo, L., Silva, J., Michaelson, M., O'Flaherty, M., Capewell, S., Speigelman, D., Goodarz, D., & Mozaffarian, D. (2017). The prospective impact of food pricing on improving dietary consumption: A systematic review and meta-analysis. PLoS One, 12(3), e0172277.CrossRefPubMedPubMedCentralGoogle Scholar
- Boeing, H., Bechthold, A., Bub, A., Ellinger, S., Haller, D., Kroke, A., Leschik-Bonnet, E., Müller, M. J., Oberritter, H., Schulze, M., Stehle, P., & Stehle, W. (2012). Critical review: Vegetables and fruit in the prevention of chronic diseases. European Journal of Nutrition, 51, 637–663.CrossRefPubMedPubMedCentralGoogle Scholar
- Calancie, L., Leeman, J., Jilcott-Pitts, S. B., Khan, L. K., Fleischhacker, S., Evenson, K. R., Schreiner, M., Byker, C., Owens, C., Mcguirt, J., Barnidge, E., Wesley, D., Johnson, D., Kolodinsky, J., Piltch, E., Pinard, C., Quinn, E., Whetstone, L., & Ammerman, A. (2015). Nutrition-related policy and environmental strategies to prevent obesity in rural communities: A systematic review of the literature. Preventing Chronic Disease, 12, 140540.CrossRefGoogle Scholar
- Centers for Disease Control and Prevention. (2011). Strategies to prevent obesity and other chronic diseases: CDC guide to strategies to increase the consumption of fruits and vegetables. Atlanta: U.S. Department of Health and Human Services.Google Scholar
- Dufour, D. L., Goodman, A. H., & Pelto, G. H. (2012). Nutritional anthropology: Biocultural perspectives on food and nutrition (2nd ed.). New York: Oxford University Press.Google Scholar
- Food and Agricultural Organization of the United Nations. (2002). The state of food insecurity in the world 2001. Italy: Rome. http://www.fao.org/docrep/003/y1500e/y1500e00.htm. Accessed November 2017.
- George, D., & Mallery, P. (2002). SPSS for windows step by step: A simple guide and reference, 11.0 (4th ed.). Boston: Allyn & Bacon.Google Scholar
- Gittelsohn, J., Rowan, M., & Gadhoke, P. (2012). Interventions in small food stores to change the food environment, improve diet, and reduce risk of chronic disease. Preventing Chronic Disease, 9, 110015.Google Scholar
- Health Canada (2013). Measuring the food environment in Canada. www.hc-sc.gc.ca/fn-an/nutrition/pol/index-eng.php. Accessed October 2015.
- Herforth, A., Ahmed, S., & Byker Shanks, C. (2017). Wanted: Food environment measurement tools. Agriculture, Nutrition, and Health Academy Newsletter. http://anh-academy.org/academy-news-events/blog/2017/02/21/wanted-food-environment-measurement-tools. Accessed November 2017.
- Institute of European Food Studies (1996). A pan-EU survey of consumer attitudes to food, nutrition and health, no. 1. Dublin: Institute of European Food Studies.Google Scholar
- Johnson, D., Quinn, E., Sitaker, M., Ammerman, A., Byker, C., Dean, W., Fleischhacker, S., Kolodinsky, J., Pinard, C., Jilcott-Pitts, S. B., & Sharkey, J. (2014). Developing an agenda for research about policies to improve access to healthy foods in rural communities: A concept mapping study. BMC Public Health, 14, 592.CrossRefPubMedPubMedCentralGoogle Scholar
- Moore, L.V., & Thompson, F.E., (2013). Adults meeting fruit and vegetable intake recommendations-United States. http://cdn.elsevier.com/promis_misc/AMEPRE_gfa.pdf.
- National Cancer Institute. (2015). Usual dietary intakes: food intakes, U.S. population, 2007–10. Epidemiology and Genomics Research Program website. http://epi.grants.cancer.gov/diet/usualintakes/pop/2007-10/. Accessed 26 November 2017.
- Nunnally, J. C., & Bernstein, I. H. (1994). Psychometic theory: the assessment of reliability (3rd edn., pp. 248–292). New York: McGraw Hill.Google Scholar
- Schmilovitch, Z., & Mizrach, A. (2013). Instrumental assessment of food sensory quality. In Z. Schmilovitch & A. Mizrach (1st Ed.), Instrumental assessment of the sensory quality of fruits and vegetables (pp. 446–461). Philadelphia: Woodhead Publishing.Google Scholar
- U.S. Census Bureau (2015). Montana counties by population. Washington, DC: U.S. Government Printing Office. Accessed March 2015.Google Scholar
- US Department of Agriculture, Economic Research Service (2013). Rural–urban continuum codes. http://www.ers.usda.gov/data-products/rural-urban-continuumcodes.aspx. Accessed March 2015.
- US Department of Agriculture, Economic Research Service (2015). Food environment atlas overview. http://www.ers.usda.gov/data-products/food-environment-atlas.aspx. Accessed October 2015.
- US Department of Health and Human Services National Cancer Institute: Applied Research Program (2015). Measures of the food environment. http://appliedresearch.cancer.gov/mfe/. Accessed 29 Oct 2015.
- World Food Summit (1996). Rome Declaration on World Food Security. http://www.fao.org/docrep/003/w3613e/w3613e00.htm. Accessed November 2017.