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Neighbourhood variation in the price of soda relative to milk and its association with neighbourhood socio-economic status and race

  • David M Kern (a1), Amy H Auchincloss (a1), Lance S Ballester (a1) and Lucy F Robinson (a1)
  • Please note a correction has been issued for this article.
Abstract
Objective

Soda consumption is high in the USA, especially among minorities and individuals of lower socio-economic status (SES); this may be due to its affordable price in relation to healthier alternatives. The objective of the present study was to examine geospatial variation in price of milk and soda, and the price of milk relative to soda, by neighbourhood SES and proportion of Hispanic and black individuals.

Design

Retailer soda and milk prices (n 2987; Information Resources, Inc. Academic Data Set 2004–2011) were linked to census block group sociodemographic characteristics (American Community Survey 2005–2009). Linear hierarchical regression models were used to adjust for confounders.

Setting

Large chain supermarkets and superstores (n 1743) in forty-one states and 1694 block groups (USA).

Results

For equivalent fluid ounces, price of soda on average was 62 % lower than milk ($US 0·23 v. $US 0·63 per serving) and there was high dispersion in milk price across geographic areas. After adjustment for confounding, neighbourhoods with a higher concentration of black and Hispanic individuals tended to have lower soda prices and higher milk prices (−$US 0·001 and +$US 0·007 in price per serving, respectively, for a one quintile increase in black/Hispanic population), while soda and milk both became less expensive as SES decreased (–$US 0·002 and −$US 0·015 in serving price per one sd decrease in SES index, respectively).

Conclusions

Neighbourhoods with a higher concentration of blacks and Hispanics may be at greater risk of higher soda consumption due to more affordable prices, in absolute terms and relative to the price of milk.

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Corresponding author
* Corresponding author: Email aha27@drexel.edu
References
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1. Euromonitor (2015) Statistics: Total volume, soft drink (carbonates), 2014 sales, per capita. http://www.portal.euromonitor.com/portal/statistics/tab (accessed December 2015).
2. Ogden, CL, Kit, BK, Carroll, MD et al. (2011) Consumption of Sugar Drinks in the United States, 2005–2008. NCHS Data Brief no. 71. Hyattsville, MD: National Center for Health Statistics.
3. Han, E & Powell, LM (2013) Consumption patterns of sugar sweetened beverages in the United States. J Acad Nutr Diet 113, 4353.
4. US Department of Agriculture & US Department of Health and Human Services (2015) Dietary Guidelines for Americans, 2015–2020, 8th ed. http://health.gov/dietaryguidelines/2015/guidelines/ (accessed June 2016).
5. Cocal-Cola (2014) Product Nutrition Information. http://productnutrition.thecoca-colacompany.com/ (accessed December 2014).
6. Malik, VS & Hu, FB (2012) Sweeteners and risk of obesity and type 2 diabetes: the role of sugar-sweetened beverages. Curr Diab Rep 12, 195203.
7. Schulze, MB, Manson, JE, Ludwig, DS et al. (2004) Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA 292, 927934.
8. de Koning, L, Malik, VS, Rimm, EB et al. (2011) Sugar-sweetened and artificially sweetened beverage consumption and risk of type 2 diabetes in men. Am J Clin Nutr 93, 13211327.
9. Malik, VS, Popkin, BM, Bray, GA et al. (2010) Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis. Diabetes Care 33, 24772483.
10. Ludwig, DS, Peterson, KE & Gortmaker, SL (2001) Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet 357, 505508.
11. Forshee, RA, Anderson, PA & Storey, ML (2008) Sugar-sweetened beverages and body mass index in children and adolescents: a meta-analysis. Am J Clin Nutr 89, 441442.
12. Malik, VS, Schulze, MB & Hu, FB (2006) Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr 84, 274288.
13. Dhingra, R, Sullivan, L, Jacques, PF et al. (2007) Soft drink consumption and risk of developing cardiometabolic risk factors and the metabolic syndrome in middle-aged adults in the community. Circulation 116, 480488.
14. Nguyen, S, Choi, HK, Lustig, RH et al. (2009) Sugar sweetened beverages, serum uric acid, and blood pressure in adolescents. J Pediatr 154, 807813.
15. de Koning, L, Malik, VS, Kellogg, MD et al. (2012) Sweetened beverage consumption, incident coronary heart disease, and biomarkers of risk in men. Circulation 125, 17351741, S1.
16. Ogden, CL, Carroll, MD, Kit, BK et al. (2014) Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA 311, 806814.
17. Evans, JM, Newton, RW, Ruta, DA et al. (2000) Socio-economic status, obesity and prevalence of type 1 and type 2 diabetes mellitus. Diabet Med 17, 478480.
18. McWilliams, JM, Meara, E, Zaslavsky, AM et al. (2009) Differences in control of cardiovascular disease and diabetes by race, ethnicity, and education: US trends from 1999 to 2006 and effects of medicare coverage. Ann Intern Med 150, 505515.
19. Centers for Disease Control and Prevention (2014) National Diabetes Statistics Report: Estimates of Diabetes and Its Burden in the United States, 2014. Atlanta, GA: US Department of Health and Human Services.
20. Krebs, AL (2013) Beyond the gallon jug: how can innovation change the path of fluid milk? CoBANK Knowledge Exchange, June 2013 issue. http://www.cobank.com/Knowledge-Exchange/~/media/Files/Unsearchable%20Files/Knowledge%20Exchange/KEFluidMilkReportJune2013.pdf (accessed June 2016).
21. Sebastian, RS, Goldman, JD, Enns, CW et al. (2010) Fluid Milk Consumption in the United States: What We Eat in America, NHANES 2005–2006. FSRG Dietary Data Brief no. 3. Beltsville, MD: US Department of Agriculture, Agricultural Research Service, Beltsville Human Nutrition Research Center, Food Surveys Research Group; available at http://www.ars.usda.gov/SP2UserFiles/Place/80400530/pdf/DBrief/3_milk_consumption_0506.pdf
22. Afeiche, M, Williams, PL, Mendiola, J et al. (2013) Dairy food intake in relation to semen quality and reproductive hormone levels among physically active young men. Hum Reprod 28, 22652275.
23. Chan, JM, Stampfer, MJ, Ma, J et al. (2001) Dairy products, calcium, and prostate cancer risk in the Physicians’ Health Study. Am J Clin Nutr 74, 549554.
24. Nachman, KE & Smith, TJ (2015) Hormone use in food animal production: assessing potential dietary exposures and breast cancer risk. Curr Environ Health Rep 2, 114.
25. Choi, HK, Willett, WC, Stampfer, MJ et al. (2005) Dairy consumption and risk of ype 2 diabetes mellitus in men. Arch Intern Med 165, 9971003.
26. Liu, S, Choi, HK, Ford, E et al. (2006) A prospective study of dairy intake and the risk of type 2 diabetes in women. Diabetes Care 29, 15791584.
27. Pereira, MA, Jacobs, DR, Van Horn, L et al. (2002) Dairy consumption, obesity, and the insulin resistance syndrome in young adults: the CARDIA Study. JAMA 287, 20812089.
28. Elwood, PC, Givens, DI, Beswick, AD et al. (2008) The survival advantage of milk and dairy consumption: an overview of evidence from cohort studies of vascular diseases, diabetes and cancer. J Am Coll Nutr 27, issue 6, 723S734S.
29. Elwood, PC, Pickering, JE, Givens, DI et al. (2010) The consumption of milk and dairy foods and the incidence of vascular disease and diabetes: an overview of the evidence. Lipids 45, 925939.
30. Kratz, M, Baars, T & Guyenet, S (2013) The relationship between high-fat dairy consumption and obesity, cardiovascular, and metabolic disease. Eur J Nutr 52, 124.
31. Maersk, M, Belza, A, Holst, JJ et al. (2012) Satiety scores and satiety hormone response after sucrose-sweetened soft drink compared with isocaloric semi-skimmed milk and with non-caloric soft drink: a controlled trial. Eur J Clin Nutr 66, 523529.
32. Dove, ER, Hodgson, JM, Puddey, IB et al. (2009) Skim milk compared with a fruit drink acutely reduces appetite and energy intake in overweight men and women. Am J Clin Nutr 90, 7075.
33. Fletcher, JM, Frisvold, DE & Tefft, N (2010) The effects of soft drink taxes on child and adolescent consumption and weight outcomes. J Public Econ 94, 967974.
34. Powell, LM & Chaloupka, FJ (2009) Food prices and obesity: evidence and policy implications for taxes and subsidies. Milbank Q 87, 229257.
35. Frazao, E, Andrews, M, Smallwood, D et al. (2007) Food Spending Patterns of Low-Income Households: Will Increasing Purchasing Power Result in Healthier Food Choices? Economic Information Bulletin no. 29–4. Washington, DC: US Department of Agriculture, Economic Research Service.
36. Drewnowski, A (2010) The cost of US foods as related to their nutritive value. Am J Clin Nutr 92, 11811188.
37. Drewnowski, A & Darmon, N (2005) Food choices and diet costs: an economic analysis. J Nutr 135, 900904.
38. Lipsky, LM (2009) Are energy-dense foods really cheaper? Reexamining the relation between food price and energy density. Am J Clin Nutr 90, 13971401.
39. Andrieu, E, Darmon, N & Drewnowski, A (2006) Low-cost diets: more energy, fewer nutrients. Eur J Clin Nutr 60, 434436.
40. Monsivais, P, McLain, J & Drewnowski, A (2010) The rising disparity in the price of healthful foods: 2004–2008. Food Policy 35, 514520.
41. Information Resources, Inc. (2015) Academic Data Set. http://www.iriworldwide.com/solutions/Academic-Data-Set (accessed June 2015).
42. Bronnenberg, BJ, Kruger, MW & Mela, CF (2008) Database Paper – The IRI Marketing Data Set. Market Sci 27, 745748.
43. Bleich, SN, Wolfson, JA, Vine, S et al. (2014) Diet-beverage consumption and caloric intake among US adults, overall and by body weight. Am J Public Health 104, e72e78.
44. Nettleton, JA, Lutsey, PL, Wang, Y et al. (2009) Diet soda intake and risk of incident metabolic syndrome and type 2 diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA). Diabetes Care 32, 688694.
45. US Department of Labor, Bureau of Labor Statistics (2014) Consumer Price Index – All Urban Consumers, Series Id: CUUR0000SA0. http://www.bls.gov/cpi/home.htm (accessed August 2014).
46. Grocery Headquarters (2014). Wiping out the competition. http://www.groceryheadquarters.com/2014/11/paper-products (accessed June 2014).
47. Babey, SH, Diamant, AL, Hastert, TA et al. (2008) Designed for Disease: The Link Between Local Food Environments and Obesity and Diabetes. California Center for Public Health Advocacy, PolicyLink and the UCLA Center for Health Policy Research. April 2008. http://healthpolicy.ucla.edu/publications/Documents/PDF/Designed%20for%20Disease%20The%20Link%20Between%20Local%20Food%20Environments%20and%20Obesity%20and%20Diabetes.pdf (accessed June 2016).
48. Diez Roux, AV, Stein Merkin, S, Arnett, D et al. (2001) Neighborhood of residence and incidence of coronary heart disease. N Engl J Med 345, 99106.
49. US Department of Agriculture, Economic Research Service (2013) Urban Influence Codes: Documentation. http://www.ers.usda.gov/data-products/urban-influence-codes/documentation.aspx (accessed June 2015).
50. Grimm, KA, Moore, LV & Scanlon, KS (2013) Access to healthier food retailers – United States, 2011. MMWR Suppl 62, issue 3, 2026.
51. Lamichhane, AP, Warren, J, Puett, R et al. (2013) Spatial patterning of supermarkets and fast food outlets with respect to neighborhood characteristics. Health Place 23, 157164.
52. Merlo, J, Chaix, B, Yang, M et al. (2005) A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon. J Epidemiol Community Health 59, 443449.
53. Andreyeva, T, Long, MW & Brownell, KD (2010) The impact of food prices on consumption: a systematic review of research on the price elasticity of demand for food. Am J Public Health 100, 216222.
54. Fry, R & Taylor, P (2012) The Rise of Residential Segregation by Income. Pew Research Center Social & Demographic Trends. http://www.pewsocialtrends.org/2012/08/01/the-rise-of-residential-segregation-by-income/ (accessed June 2016).
55. Jesse, E & Cropp, B (2008) Basic Milk Pricing Concepts for Dairy Farmers. University of Wisconsin Extension – Cooperative Extension, Publication a3379. http://future.aae.wisc.edu/publications/a3379.pdf (accessed June 2016).
56. Manchester, AC & Blayney, D (2001) Milk Pricing in the United States. Agriculture Information Bulletin no. AIB-761. Washington, DC: US Department of Agriculture, Economic Research Service; available at http://www.ers.usda.gov/media/306483/aib761_1_.pdf
57. Powell, LM, Wada, R & Kumanyika, SK (2014) Racial/ethnic and income disparities in child and adolescent exposure to food and beverage television ads across the US media markets. Health Place 29, 124131.
58. Grier, SA & Kumanyika, SK (2008) The context for choice: health implications of targeted food and beverage marketing to African Americans. Am J Public Health 98, 16161629.
59. Powell, L, Rimkus, L, Isgor, Z et al. (2012) Exterior Marketing Practices of Fast-Food Restaurants – A BTG Research Brief . Chicago, IL: Bridging the Gap Program, Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago; available at www.bridgingthegapresearch.org
60. Fleischhacker, SE, Evenson, KR, Rodriguez, DA et al. (2011) A systematic review of fast food access studies. Obes Rev 12, e460e471.
61. Larson, NI, Story, MT & Nelson, MC (2009) Neighborhood environments: disparities in access to healthy foods in the US. Am J Prev Med 36, 7481.
62. US Department of Agriculture, Economic Research Service (2014) Food Expenditures – Table 15. http://www.ers.usda.gov/data-products/food-expenditures.aspx (accessed June 2016).
63. US Department of Agriculture, Economic Research Service (2015) Milk Cost of Production Estimates – 2010 Base. http://www.ers.usda.gov/data-products/milk-cost-of-production-estimates.aspx (accessed December 2015).
64. Duffey, KJ, Gordon-Larsen, P, Shikany, JM et al. (2010) Food price and diet and health outcomes: 20 years of the CARDIA Study. Arch Intern Med 170, 420426.
65. Wada, R (2015) Associations between soda prices and intake: evidence from 24-h dietary recall data. Food Policy 55, 5460.
66. Zhuang, Y, Dimitri, C & Jaenicke, EC (2009) Consumer choice of private label or national brand: the case of organic and non-organic milk. Paper presented at the AAEA & ACCI 2009 Joint Annual Meeting, Milwaukee, WI, USA, 26–28 July 2009.
67. Hu, FB & Malik, VS (2010) Sugar-sweetened beverages and risk of obesity and type 2 diabetes: epidemiologic evidence. Physiol Behav 100, 4754.
68. Berkey, CS, Rockett, HR, Field, AE et al. (2004) Sugar-added beverages and adolescent weight change. Obes Res 12, 778788.
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