Fresh produce consumption and the association between frequency of food shopping, car access, and distance to supermarkets

Preventive Medicine Reports

Volumn 2, Issue , 2015, Pages 47-52

  Gustat, Jeanette ^a   O'Malley, Keelia ^a   Luckett, Brian G ^a   Johnson, Carolyn C ^a  

^a TULANE UNIVERSITY   (United States)

Author keywords

African American; Car access; Distance; Produce consumption

Indexed keywords

ADULT; AGED; ARTICLE; ASSOCIATION; CAR; COMMUNICATION DISORDER; FEMALE; FOOD; FOOD INTAKE; FRUIT; HOUSEHOLD; HUMAN; MAJOR CLINICAL STUDY; MALE; MARKET; SHOPPING; STRUCTURAL EQUATION MODELING; TELEPHONE INTERVIEW; VEGETABLE;

EID: 84922717213     PISSN: None     EISSN: 22113355     Source Type: Journal    
DOI: 10.1016/j.pmedr.2014.12.009     Document Type: Article

References (48)

1. Aggarwal A., Cook A.J., Jiao J., et al. Access to supermarkets and fruit and vegetable consumption. Am. J. Public Health 2014, 104:917-923. 10.2105/AJPH.2013.301763.
2. Black A.E., Cole T.J. Biased over- or under-reporting is characteristic of individuals whether over time or by different assessment methods. J. Am. Diet. Assoc. 2001, 101:70-80.
3. Bodor J.N., Rose D., Farley T.A., Swalm C., Scott S.K. Neighbourhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2008, 11(4):413-420.
4. Bodor J.N., Rice J.C., Farley T.A., Swalm C.M., Rose D. Disparities in food access: does aggregate availability of key foods from other stores offset the relative lack of supermarkets in African-American neighborhoods?. Prev. Med. 2010, 51(1):63-67.
5. Caraher M., Dixon P., Lang T., Carr-Hill R. Access to healthy foods: part I. Barriers to accessing healthy foods: differentials by gender, social class, income and mode of transport. Health Educ. J. 1998, 57(3):191-201.
6. Casagrande S.S., Wang Y., Anderson C., Gary T.L. Have Americans increased their fruit and vegetable intake? The trends between 1988 and 2002. Am. J. Prev. Med. 2007, 32(4):257-263.
7. Centers for Disease Control and Prevention Behavioral risk factor surveillance system operational and user's guide, version 3.0 2005, (Atlanta, GA).
8. Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System Survey Questionnaire 2011, U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Atlanta, Georgia.
9. Charreire H., Casey R., Salze P., et al. Measuring the food environment using geographical information systems: a methodological review. Public Health Nutr. 2010, 13(11):1773-1785.
10. Clifton K.J. Mobility strategies and food shopping for low-income families: a case study. J. Plan. Educ. Res. 2004, 23(4):402-413.
11. Drewnoswki A., Aggarwal A., Hurvitz P.M., Monsivais P., Vernez Moudon A. Obesity and supermarket access: proximity or price?. Am. J. Public Health 2012, 102:e74-e80.
12. ESRI, ArcGIS 380 New York Street, Redlands, CA 92373-8100 http://www.esri.com.
13. Farley T., Rice J., Bodor J., Cohen D., Bluthenthal R., Rose D. Measuring the food environment: shelf space of fruits, vegetables, and snack foods in stores. J. Urban Health 2009, 86(5):672-682.
14. Fuller D., Cummins S., Matthews S.A. Does transportation mode modify associations between distance to food store, fruit and vegetable consumption, and BMI in low-income neighborhoods?. Am. J. Clin. Nutr. 2013, 97(1):167-172.
15. Giang T., Karpyn A., Laurison H.B., Hillier A., Perry R.D. Closing the grocery gap in underserved communities: the creation of the Pennsylvania Fresh Food Financing Initiative. J. Public Health Manag. Practice 2008, 14(3):272-279.
16. Guidelines Advisory Committee Dietary Report of the Dietary Guidelines Advisory Committee on Dietary Guidelines for Americans. US. Department of Agriculture, Agricultural Research Service 2010, US Government Printing Office, Washington, DC, (January 2010).
17. Gustat J., Rice J., Parker K.M., Becker A.B., Farley T.A. Effect of changes to the neighborhood built environment on physical activity in a low-income African American neighborhood. Prev. Chronic Dis. 2012, 9:110165. 10.5888/pcd9.110165.
18. Haynes-Maslow L., Parsons S.E., Wheeler S.B., Leone L.A. A qualitative study of perceived barriers to fruit and vegetable consumption among low-income populations, North Carolina, 2011. Prev. Chronic Dis. 2013, 10:120206. 10.5888/pcd10.120206.
19. Hung H.C., Joshipura K.J., Jiang R., et al. Fruit and vegetable intake and risk of major chronic disease. J. Natl. Cancer Inst. 2004, 96:1577-1584.
20. Joint WHO/FAO Expert Consultation on Diet Nutrition and the Prevention of Chronic Diseases (2002: Geneva, Switzerland). Diet, Nutrition and the Prevention of Chronic Diseases: Report of a Joint WHO/FAO Expert Consultation, Geneva, 28 January-1 February 2002. (WHO Technical Report Series; 916). 2002.
21. Karpyn A., Manon M., Treuhaft S., Giang T., Harries C., McCoubrey K. Policy solutions to the 'grocery gap'. Health Aff. 2010, 29(3):473-480.
22. Kimmons J., Gillespie C., Seymour J., Serdula M., Blanck H.M. Fruit and vegetable intake among adolescents and adults in the United States: percentage meeting individualized recommendations. Medscape J. Med. 2009, 11(1):26.
23. Laforge R.G., Greene G.W., Prochaska J.O. Psychosocial factors influencing low fruit and vegetable consumption. J. Behav. Med. 1994, 17(4):361-374.
24. Merrill R.M., Richardson J.S. Validity of self-reported height, weight, and body mass index: findings from the National Health and Nutrition Examination Survey, 2001-2006. Prev. Chronic Dis. 2009, 6:A121.
25. Morland K., Wing S., Roux A.D. The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study. Am. J. Public Health 2002, 92(11):1761-1767.
26. New Orleans Fresh Food Retailer Initiative: Program Overview [Internet], (Accessed 2011 April 28). http://www.hope-ec.org/images/documents/neworleansfreshfoodretailerinitiative-programoverview-4-14-11.pdf.
27. Preacher K.J., Hayes A.F. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav. Res. Methods 2008, 40(3):879-891.
28. Rennie K.L., Coward A., Jebb S.A. Estimating under-reporting of energy intake in dietary surveys using an individualised method. Br. J. Nutr. 2007, 97:1169-1176.
29. Rolls B.J., Ello-Martin J.A., Tohill B.C. What can intervention studies tell us about the relationship between fruit and vegetable consumption and weight management?. Nutr. Rev. 2004, 62:1-17.
30. Rose D., Richards R. Food store access and household fruit and vegetable use among participants in the US Food Stamp Program. Public Health Nutr. 2004, 7(8):1081-1088.
31. Rose D., Bodor J.N., Swalm C.M., Rice J.C., Farely T.A., Hutchinson P.L. Deserts in New Orleans? Illustrations of urban food access and implications for policy 2009, University of Michigan National Poverty Center/USDA Economic Research Service Research, Ann Arbor, MI.
32. Rose D., Bodor J.N., Rice J.C., Swalm C.M., Hutchinson P.L. The effects of Hurricane Katrina on food access disparities in New Orleans. Am. J. Public Health 2011, 101(3):482-484.
33. Serdula M.K., Byers T., Mokdat A.H., Simoes E., Mendlein J.M., Coates R.J. The association between fruit and vegetable intake and chronic disease risk factors. Epidemiology 1996, 7(2):161-165.
34. Sobel M.E. Asymptotic confidence intervals for indirect effects in structural equation models. Sociol. Methodol. 1982, 13:290-312.
35. State-specific trends in fruit and vegetable consumption among adults - United States, 2000-2009 MMWR Morb. Mortal. Wkly Rep. 2010, 59(35):1125-1130.
36. Supplemental Nutrition Assistance Program (SNAP) Data System Washington (DC): U.S. Department of Agriculture: Economic Research Service Available from:. http://www.ers.usda.gov/data-products/supplemental-nutrition-assistance-program-(snap)-data-system/go-to-the-map.aspx.
37. Tamers S.L., Nebeling L., Dodd K.W., Agurs-Collins T. US and France adult fruit and vegetable consumption patterns: an international comparison [electronic resource]. Eur. J. Clin. Nutr. 2009, 63(1):11-17.
38. The Data Center analysis of US Census Bureau Data from Census SF3 and American Community Survey 2013 (Accessed December 21, 2014). http://www.datacenterresearch.org/data-resources/who-lives-in-new-orleans-now/.
39. The Wolfgang Frese Survey Research Laboraty Social Science Research Center at Mississippi State University http://www.ssrc.msstate.edu/laboratories/the-wolfgang-frese-survey-research-laboratory/.
40. Thornton L.E., Pearce J.R., Macdonald L., Lamb K.E., Ellaway A. Does the choice of neighbourhood supermarket access measure influence associations with individual-level fruit and vegetable consumption? A case study from Glasgow. Int. J. Health Geogr. 2012, 11:29. 10.1186/1476-072X-11-29.
41. Tomarken A.J., Waller N.G. Structural equation modeling: strengths, limitations, and misconceptions. Annu. Rev. Clin. Psychol. 2005, 1:31-65.
42. U.S.Census Bureau 2010 Census 2010.
43. U.S.Department of Agriculture, U.S.Department of Health and Human Services Dietary Guidelines for Americans 2010, U.S. Government Printing Office, Washington, DC, (December 2010). 7th Edition.
44. US Census Bureau American Community Survey 2010-2012 2012, (Washington, DC).
45. USDA Food deserts (Accessed July 25, 2014). https://apps.ams.usda.gov/fooddeserts/foodDeserts.aspx.
46. Winkleby M.A., Cubbin C. Changing patterns in health behaviors and risk factors related to chronic diseases, 1990-2000. Am. J. Health Promot. 2004, 19(1):19-27.
47. Yao M., Roberts S.B. Dietary energy density and weight regulation. Nutr. Rev. 2001, 59:247-258.
48. Zenk S.N., Schulz A.J., Izumi B.T., Mentz G., Israel B.A., Lockett M. Neighborhood food environment role in modifying psychosocial stress-diet relationships. Appetite 2013, 65:170-177.