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High consumption of energy-dense nutrient-poor foods among low-income groups in the Mississippi Delta and Alabama

  • Deborah A Cohen (a1), Laura M Bogart (a1), Bing Han (a1), Stephanie Williamson (a1) and Gabriela Castro (a1)...

Abstract

Objective:

To assess the consumption of sugar-sweetened beverages (SSB) and other energy-dense nutrient-poor (EDNP) foods in two Southern low-income communities targeted by the Balance Calories Initiative, a campaign by the top-three American beverage companies intended to reduce the consumption of sugary beverages by 20 % over 10 years.

Design:

We conducted self-administered intercept surveys in front of food retail outlets between August and November 2016. We recruited adults with children <18 years living at home and adolescents aged 10–17 years with parental consent.

Setting:

Retail food outlets in Mississippi and Alabama, USA.

Participants:

Adults (n 11 311) and adolescents (n 3460).

Results:

The percentage of high SSB consumers (≥4 servings/d) was 40·9 % among adult males, 32·3 % among adult females, 43·0 % among adolescent males and 34·4 % among adolescent females (male – female difference, P < 0·0001). In aggregate, respondents also reported consuming a mean of 3 servings of salty snacks, cookies and/or candy in the past 24 h, with adolescent males reporting 4 servings.

Conclusions:

SSB should be a primary target of future interventions to improve dietary intake, but EDNP foods likely contribute as many daily kilojoules as SSB among this population. Future campaigns should aim to limit the consumption of all EDNP foods.

Copyright

Corresponding author

*Corresponding author: Email dcohen@rand.org

References

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1. Krebs-Smith, SM, Guenther, PM, Subar, AF et al. (2010) Americans do not meet federal dietary recommendations. J Nutr 140, 18321838.
2. Drewnowski, A & Rehm, CD (2013) Energy intakes of US children and adults by food purchase location and by specific food source. Nutr J 12, 59.
3. Ambrosini, GL, Oddy, WH, Huang, RC et al. (2013) Prospective associations between sugar-sweetened beverage intakes and cardiometabolic risk factors in adolescents. Am J Clin Nutr 98, 327334.
4. Teshima, N, Shimo, M, Miyazawa, K et al. (2015) Effects of sugar-sweetened beverage intake on the development of type 2 diabetes mellitus in subjects with impaired glucose tolerance: the Mihama diabetes prevention study. J Nutr Sci Vitaminol (Tokyo) 61, 1419.
5. 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.
6. Fung, TT, Malik, V, Rexrode, KM et al. (2009) Sweetened beverage consumption and risk of coronary heart disease in women. Am J Clin Nutr 89, 10371042.
7. Keller, A, Heitmann, BL & Olsen, N (2015) Sugar-sweetened beverages, vascular risk factors and events: a systematic literature review. Public Health Nutr 18, 11451154.
8. Assy, N, Nasser, G, Kamayse, I et al. (2008) Soft drink consumption linked with fatty liver in the absence of traditional risk factors. Can J Gastroenterol 22, 811816.
9. Lim, S, Zoellner, JM, Lee, JM et al. (2009) Obesity and sugar-sweetened beverages in African-American preschool children: a longitudinal study. Obesity (Silver Spring) 17, 12621268.
10. Keller, A & Torre, SBD (2015) Sugar-sweetened beverages and obesity among children and adolescents: a review of systematic literature reviews. Child Obes 11, 338346.
11. Johnson, RK, Appel, LJ, Brands, M et al. (2009) Dietary sugars intake and cardiovascular health: a scientific statement from the American Heart Association. Circulation 120, 10111020.
12. US Department of Health and Human Services & US Department of Agriculture (2005) Nutrition and Your Health: Dietary Guidelines for Americans. PART D: SCIENCE BASE. Section 3: Discretionary Calories. http://www.health.gov/DIETARYGUIDELINES/dga2005/report/HTML/D3_DiscCalories.htm (accessed September 2019).
13. Han, E & Powell, LM (2013) Consumption patterns of sugar-sweetened beverages in the United States. J Acad Nutr Diet 113, 4353.
14. Ogden, CL, Kit, B, Carroll, M 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; available at https://www.cdc.gov/nchs/data/databriefs/db71.pdf (accessed September 2019).
15. Silver, LD, Ng, SW, Ryan-Ibarra, S et al. (2017) Changes in prices, sales, consumer spending, and beverage consumption one year after a tax on sugar-sweetened beverages in Berkeley, California, US: a before-and-after study. PLoS Med 14, e1002283.
16. Bleich, SN, Vercammen, KA, Koma, JW et al. (2018) Trends in beverage consumption among children and adults, 2003–2014. Obesity (Silver Spring) 26, 432441.
17. Kumar, GS, Pan, L, Park, S et al. (2014) Sugar-sweetened beverage consumption among adults – 18 states, 2012. MMWR Morb Mortal Wkly Rep 63, 686690.
18. Le, A, Judd, SE, Allison, DB et al. (2014) The geographic distribution of obesity in the US and the potential regional differences in misreporting of obesity. Obesity (Silver Spring) 22, 300306.
19. Park, S, Xu, F, Town, M et al. (2016) Prevalence of sugar-sweetened beverage intake among adults – 23 states and the district of Columbia, 2013. MMWR Morb Mortal Wkly Rep 65, 169174.
20. Centers for Disease Control and Prevention (2015) Behavioral Risk Factor Surveillance System. https://www.cdc.gov/brfss/ (accessed September 2019).
21. American Beverage Association (2018) Community Support. https://www.balanceus.org/community-support/ (accessed September 2019).
22. Frank, R & Massey, W (1970) Shelf position and space effects on sales. J Mark Res 7, 5966.
23. Curhan, R (1972) The relationship between shelf space and unit sales in supermarkets. J Mark Res 9, 406412.
24. Curhan, RC (1974) The effects of merchandising and temporary promotional activities on the sales of fresh fruits and vegetables in supermarkets. J Mark Res 11, 286294.
25. Chevalier, M (1975) Increase in sales due to in-store display. J Mark Res 12, 426431.
26. Min, J, Jahns, L, Xue, H et al. (2018) Americans’ perceptions about fast food and how they associate with its consumption and obesity risk. Adv Nutr 9, 590601.
27. Eck, KM, Dinesen, A, Garcia, E et al. (2018) ‘Your body feels better when you drink water’: parent and school-age children’s sugar-sweetened beverage cognitions. Nutrients 10, 1232.
28. Onufrak, SJ, Park, S, Sharkey, JR et al. (2014) Perceptions of tap water and school water fountains and association with intake of plain water and sugar-sweetened beverages. J Sch Health 84, 195204.
29. Rehm, CD, Peñalvo, JL, Afshin, A et al. (2016) Dietary intake among US adults, 1999–2012. JAMA 315, 25422553.
30. Cohen, DA, Bogart, L, Castro, G et al. (2018) Beverage marketing in retail outlets and the Balance Calories Initiative. Prev Med 115, 17.
31. Bogart, LM, Cowgill, BO, Sharma, AJ et al. (2013) Parental and home environmental facilitators of sugar-sweetened beverage consumption among overweight and obese Latino youth. Acad Pediatr 13, 348355.
32. Bogart, LM, Elliott, MN, Ober, AJ et al. (2017) Home sweet home: parent and home environmental factors in adolescent consumption of sugar-sweetened beverages. Acad Pediatr 17, 529536.
33. Institute of Medicine (2011) Child and Adult Care Food Program: Aligning Dietary Guidance for All. Washington, DC: National Academies Press.
34. Babey, SH, Jones, M, Yu, H et al. (2009) Bubbling Over: Soda Consumption and Its Link to Obesity in California. UCLA Healthy Policy Brief no. PB2009-5. Los Angeles, CA: UCLA Center for Health Policy Research; available at https://www.ncbi.nlm.nih.gov/pubmed/19768858 (accessed September 2019).
35. Babey, SH, Wolstein, J & Goldstein, H (2013) Still Bubbling Over: California Adolescents Drinking More Soda and Other Sugar-Sweetened Beverages. UCLA Healthy Policy Brief no. PB2013-8. Los Angeles, CA: UCLA Center for Health Policy Research; available at https://phadvocates.org/wp-content/uploads/2016/09/BubblingOver-Policy-Brief-and-Recommendations-combined.pdf (accessed September 2019).
36. Hartman, TJ, Haardorfer, R, Greene, BM et al. (2017) Beverage consumption patterns among overweight and obese African American women. Nutrients 9, 1344.
37. Pinard, CA, Davy, BM & Estabrooks, PA (2011) Beverage intake in low-income parent–child dyads. Eat Behav 12, 313316.
38. Poti, JM, Popkin, BM, Mendez, MA et al. (2018) Persistent disparities over time in the distribution of sugar-sweetened beverage intake among children in the United States. Am J Clin Nutr 109, 7989.
39. Park, S, McGuire, LC & Galuska, DA (2015) Regional differences in sugar-sweetened beverage intake among US adults. J Acad Nutr Diet 115, 19962002.
40. Mendez, MA, Miles, DR, Poti, JM et al. (2019) Persistent disparities over time in the distribution of sugar-sweetened beverage intake among children in the United States. Am J Clin Nutr 109, 7989.
41. Centers for Disease Control and Prevention (2017) Get the Facts: Sugar-Sweetened Beverages and Consumption. https://www.cdc.gov/nutrition/data-statistics/sugar-sweetened-beverages-intake.html (accessed September 2019).
42. Gardner, CD, Trepanowski, JF, Del Gobbo, LC et al. (2018) Effect of low-fat vs low-carbohydrate diet on 12-month weight loss in overweight adults and the association with genotype pattern or insulin secretion: the DIETFITS randomized clinical trial. JAMA 319, 667679.
43. Arsenault, BJ, Lamarche, B & Després, J-P (2017) Targeting overconsumption of sugar-sweetened beverages vs. overall poor diet quality for cardiometabolic diseases risk prevention: place your bets! Nutrients 9, 600.
44. Dijksterhuis, AU, Spears, R & Lépinasse, VE (2001) Reflecting and deflecting stereotypes: assimilation and contrast in impression formation and automatic behavior. J Exp Soc Psychol 37, 286299.
45. Park, JY, Mitrou, PN, Keogh, RH et al. (2011) Effects of body size and sociodemographic characteristics on differences between self-reported and measured anthropometric data in middle-aged men and women: the EPIC-Norfolk study. Eur J Clin Nutr 65, 357367.

Keywords

High consumption of energy-dense nutrient-poor foods among low-income groups in the Mississippi Delta and Alabama

  • Deborah A Cohen (a1), Laura M Bogart (a1), Bing Han (a1), Stephanie Williamson (a1) and Gabriela Castro (a1)...

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