African Americans' Access to Healthy Food Options in South Los Angeles Restaurants
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RESEARCH AND PRACTICE African Americans’ Access to Healthy Food Options in South Los Angeles Restaurants | LaVonna Blair Lewis, PhD, David C. Sloane, PhD, Lori Miller Nascimento, MPH, Allison L. Diamant, MD, MPH, Joyce Jones Guinyard, DC, Antronette K.Yancey, MD, MPH, Gwendolyn Flynn, for the REACH Coalition of the African Americans Building a Legacy of Health Project Researchers and community activists have Objectives. We examined availability and food options at restaurants in less af- recognized the link between ecological fac- fluent (target area) and more affluent (comparison area) areas of Los Angeles tors (e.g., access to quality food) and the County to compare residents’ access to healthy meals prepared and purchased onset of medical conditions (e.g., cardiovascu- away from home. We also considered environmental prompts that encourage lar disease, diabetes).1,2 Disparities exist the purchase of various foods. across different neighborhoods in terms of Methods. We designed an instrument to assess the availability, quality, and access to healthy or higher quality foods; preparation of food in restaurants. We also assessed advertisements and pro- these disparities put certain communities at motions, cleanliness, and service for each restaurant. We assessed 659 restau- higher risk for illnesses. Studies have shown rants: 348 in the target area and 311 in the comparison area. that neighborhoods with a higher proportion Results. The nutritional resource environment in our target area makes it chal- of African American residents have fewer lenging for residents to eat healthy away from home. Poorer neighborhoods with a higher proportion of African American residents have fewer healthy options supermarkets and fewer high-quality food available, both in food selections and in food preparation; restaurants in these options,3,4 as well as a disproportionate num- neighborhoods heavily promote unhealthy food options to residents. ber of fast food restaurants.5 Conclusions. Environment is important in understanding health status: support for Numerous studies have demonstrated that the healthy lifestyle associated with lower risks for disease is difficult in poorer com- regular consumption of fast food can lead to munities with a higher proportion of African American residents. (Am J Public Health. higher body mass index scores, which con- 2005;95:668–673. doi:10.2105/AJPH.2004.050260) tributes to obesity and related illnesses.6,7 However, few studies have focused on the availability of healthy options in a commu- preferences and purchasing behaviors of tar- options, such as access to hospitals and other nity’s nutritional resource environment.8 get audiences. A growing body of literature health care providers, and food services in Meals purchased away from home continue documents cultural variations across the the form of markets and restaurants. A rich to play an increasingly important role in range of commercial advertisements that may resource environment provides greater oppor- American diets. Guthrie et al.9 reported that contribute to health risk behavior dispari- tunities for people to make choices that will between 1977–1978 and 1994–1996, con- ties.12–21 A pattern of findings demonstrates lead to a healthier life.1 Conversely, when sumption of food prepared away from home significantly fewer advertisements for health- nutritional resources are limited, such as in increased from 18% to 32% of total calories ier food and beverage products (e.g., fruits, those areas researchers have termed “food consumed. Typically, meals purchased away vegetables, and dairy products) in magazines deserts,” the environment makes it more diffi- from home contain high calorie content and and television shows that target African cult for residents to sustain any effort to eat a large portion sizes.6,9,10 Health care providers Americans specifically compared with those healthy diet.22,23 and researchers have expressed concern that that target more general audiences. In addi- The richness of an area’s resource environ- the increase in eating away from home has tion, a significantly greater number of adver- ment can be measured by the services offered contributed to the growing epidemic of obe- tisements for unhealthy products (e.g., sodas, and by residents’ access to those services. We sity in the United States.11 Understanding the candy, and alcoholic beverages) appear in suggest that access to healthy options in a res- range of choices available in different com- magazines and television shows that target taurant, in addition to counting the types of munities may help public health advocates African Americans.14,20 In the only “success- restaurants, is a critical measure of the rich- develop a strategy to reduce the adverse ful” litigation in this arena to date, General ness of an environment that supports healthy health effects of meals purchased away from Foods settled a class action suit to address ad- living. We examined the availability of restau- home for groups at elevated risk within our vertising of high-fat/high-sugar breakfast cere- rants and food options within these restau- society. als with false claims of healthfulness that tar- rants in more affluent and less affluent areas Individual food choices also are influenced geted low-income children of color.1 of Los Angeles County. We hypothesized that by a sociocultural environment in which com- An ecological approach to health promo- residents in South Los Angeles (target area) mercial advertising, marketing, and promotion tion examines people’s opportunities to would have fewer healthy options in neigh- attempt to influence the food and beverage choose. This approach includes health care borhood restaurants than residents of West 668 | Research and Practice | Peer Reviewed | Lewis et al. American Journal of Public Health | April 2005, Vol 95, No. 4
RESEARCH AND PRACTICE Los Angeles (comparison area). In addition, the assessments, and presented findings to American sororities could be granted small we examined the environmental prompts that their respective communities. amounts of funding (up to $5000) to assess encourage the purchase of various foods (e.g., restaurants in their communities. Through a point-of-sale posters and other print advertise- Area Descriptions competitive review process, 5 community or- ments at the restaurants), postulating that The research was predicated on the as- ganizations received funding to assess restau- healthy food choices would be promoted less sumption that a community’s nutritional pur- rants in the target area. The comparison area in South versus West Los Angeles. chases range beyond the area defined by a restaurants were assessed by students in the census tract. Some individuals within a com- Master of Planning Program from USC. These METHODS munity might have considerable travel restric- students also conducted supplemental com- tions that limit their mobility; others might munity inventories in the target area, as Study Context travel well beyond any 1 zip code to eat at a needed. All of the surveyors participated in Community Health Councils, Inc., (CHC) particular restaurant. We decided on the zip the same training program, which served to is a nonprofit health advocacy organization code area as the unit of analysis on the basis reduce variation across surveyors. that has been launching programs to involve of these assumptions. The study areas were A list of restaurants by zip code was ex- community residents in discussions about made up of zip codes that represent neighbor- tracted from an electronic database from the health care system in Los Angeles hoods with of a high proportion of African each city’s environmental health office. Sur- County for more than 10 years. In 1999, American residents (target area) compared veyors were instructed to inventory at least CHC initiated the African Americans Build- with zip codes that include fewer African 60 restaurants in their assigned zip codes; ing a Legacy of Health coalition in an effort American residents (comparison area). specifically, they were instructed to ran- to bring together organizations and individ- The target area consisted of 4 noncontigu- domly survey 20 restaurants from each of uals to combat health disparities and issues ous areas: 2 in South Los Angeles and 1 each the following 3 categories: fast food (i.e., of access to health care. CHC led this coali- in Inglewood and North Long Beach. The food already prepared), fast casual (i.e., self- tion’s effort to apply for funding from the comparison area included zip codes in west seating of patrons, food prepared after plac- Racial and Ethnic Approaches to Commu- Los Angeles. Restaurant surveys were used to ing order), and sit down dining (i.e., hostess/ nity Health (REACH 2010) programming inventory healthy food options in the selected wait staff seating, wait staff takes and sub- initiative of the Centers for Disease Control target and comparison areas. Although these mits order) restaurants. Surveyors noted and Prevention. 2 areas were selected as part of the AABLH/ that within some target area zip codes, the CHC received a planning grant in 1999, REACH 2010 Project, they do not cover the desired breakdown was impossible to followed by 4 years of funding, to institute entire AABLH project area. Because of the achieve because of a lack of restaurants a series of interventions in South Los Ange- large number of restaurants, we confined our (i.e., not enough sit-down dining restaurants— les, Inglewood, and North Long Beach, areas restaurant survey to specific zip codes within a significant finding in and of itself). with high proportions of African Americans. the larger AABLH project area to achieve a After discussions with the AABLH coalition The African Americans Building a Legacy of comprehensive inventory of restaurants about what needed to be measured, justifica- Health coalition identified several interven- within the specified areas (Figure 1). tion for these measures, and related health tion areas and organized advisory groups In the target area, African Americans issues surrounding restaurant use, we devel- that focused on organizational wellness, ra- made up a significant portion of the popula- oped an instrument to inventory each restau- cial justice, education and prevention, and tion (35%) with moderate to low incomes rant. The questions covered issues identified economic parity. University of Southern Cali- (median = $35 144). The difference in per- by a literature search and community mem- fornia (USC) and University of California at centage of African American residents be- bers to be crucial to understanding the health- Los Angeles (UCLA) faculty and staff have tween the zip codes was broad, ranging from iness of restaurants. The instrument was de- served as evaluators of the project from its 14% in 90001 to 87% in 90305. The com- signed to assess the availability, quality, and planning phase. parison area for this project had few African preparation of food on the basis of a restau- We conducted community assessment ac- Americans (7.8%) and a higher median rant’s menu to provide the least biased data. tivities as part of the economic parity inter- household income ($47 697). However, for We used the menu as a source of information vention. The economic parity advisory zip codes 90007 and 90001 in the target to allow for a standardized response to the group is a fluid pool of individuals and or- area and 90034 and 90035 in the contrast questions and to obviate the need for interac- ganizations interested in improving the com- area, the proportion of African American tion between the surveyor and restaurant munity’s recreational and nutritional re- residents was roughly the same. employees. In addition, selected observational source environments through community elements about the restaurant were assessed, assessments and subsequent community de- Study Design and Data Sources including advertisements and promotions, velopment. An exemplar of community- CHC created a “mini grant” process through cleanliness, and quality of service. based participatory research, members of the which community organizations ranging from The instrument contained 21 main ques- workgroup developed instruments, conducted local churches to chapters of national African tions, some of which had multiple parts, for April 2005, Vol 95, No. 4 | American Journal of Public Health Lewis et al. | Peer Reviewed | Research and Practice | 669
RESEARCH AND PRACTICE Note. Adapted from Slone DC, Diamant AL, Lewis LB et al. J Intern Med. 2003:18:568-575. FIGURE 1—Target and comparison neighborhoods, by zip code: Los Angeles, Calif. a total of 62 separate questions. Items in- Data Analysis nomic Census, although the comparison area cluded information provided to the cus- We used SAS, version 8.0 (SAS, Inc., Re- had 1 restaurant for every 542 residents, the tomer in the restaurant, such as pointing out search Triangle Park, NC) to perform all statis- target area had 1 restaurant for every 1910 healthy foods and providing nutritional in- tical analyses; the results were presented in residents. In addition, the census indicated formation related to the selection. In addi- bivariate form. The bivariate significance tests that the 2 areas have very different restaurant tion, the instrument collected information used χ2 and Fisher exact tests. The population profiles. The census distinguished between about the types of food offered and options data presented were taken from a compilation “full service” (i.e., customers order and are about healthy food preparation and whether of US Census material provided by the United served while seated and pay after eating) and customers could request a healthy alterna- Way of Greater Los Angeles.24 We used that “limited service” restaurants (i.e., customers tive. Healthy food preparation options in- population data and data from the US Eco- order and pay before eating, there are no wait cluded the following: stir fry or sauté, broil, nomic Census for North American Industry staff, and services are limited).24 Although bake, boil, raw (no cooking needed), steam, Classification System number 7221 and 7222 58% of the restaurants in the comparison roasted or rotisserie, grilled, or other (spec- to calculate ratios of restaurant to population. area were full service, only 27% of the restau- ify). Healthy menu options included the fol- rants in the target area were full service. lowing: green salad, entrée salad, side order RESULTS We further explored this issue by examin- of cooked vegetables (without butter, cream, ing local government online listings of restau- or oil), baked potato (without butter), brown Restaurant Environment rants in our target and comparison areas. We rice, fresh fruit, fish, turkey burgers, soy/ Table 1 provides a zip-code-by-zip-code found that the average comparison area resi- tofu, vegetarian, or other (specify). The sur- comparison of the total population, African dent had 50% more restaurants to choose vey also included questions about beverage American population, and number of restau- from than a resident in the target area. options, meal prices, and store characteris- rants. The comparison area is home to a We inventoried 659 of these restaurants tics, such as access to parking, public trans- larger number of restaurants per population (Table 2) in the 2 areas: 311 (47% of all portation, cleanliness, and security. than the target area. According to the US Eco- restaurants listed in each city’s environmental 670 | Research and Practice | Peer Reviewed | Lewis et al. American Journal of Public Health | April 2005, Vol 95, No. 4
RESEARCH AND PRACTICE TABLE 1—Zip Code–by–Zip Code Comparison of Area Restaurants in South Los Angeles, area (25.6%) than in the comparison area Calif (11.2%). More detailed analysis is needed to determine the effect of the greater number of Population No. Restaurants fast food restaurants in the target communities. Zip Code Total African American % Full Service Limited Service Total In particular, there is evidence that the major- ity of fast food restaurants (particularly the Target area large chains, such as McDonald’s) are adding North Long Beach 90805 91 663 21 414 23 11 38 49 healthy menu options. Inglewood 90303 27 773 10 746 39 4 10 14 The target area restaurants were also signif- 90305 13 763 11 975 87 1 3 4 icantly less likely than comparison area restau- Crenshaw/Leimert Park 90007 45 021 5 561 12 15 39 54 rants to receive high marks on assessments of 90008 30 840 23 943 78 9 16 25 the restaurant environment (i.e., what do cus- 90016 46 968 22 026 47 7 18 25 tomers experience or see when they arrive at 90018 47 127 20 092 43 6 17 23 a particular restaurant?) Here, fewer than 5% 90056 8 108 5 792 71 3 2 5 of the target area restaurants receive an “ex- Willowbrook/Watts 90001 54 481 7 608 14 9 18 27 cellent” for cleanliness, customer service, first 90002 44 584 15 837 36 0 7 7 impressions, accessible parking, ease of access 90003 58 187 18 356 32 9 16 25 to public transportation, and safety/security 90059 38 123 17 199 45 1 7 8 (response categories were excellent, very 90061 24 503 10 923 46 1 11 12 good, average, fair, and poor). Totala (%) 531 141 191 472 36 76 (27%) 202 (73%) 278 Comparison area Promotion and Availability of Healthy West Los Angeles 90025 41 170 1 230 3 70 51 121 Options 90034 58 199 8 573 15 20 24 44 Table 3 displays findings on the marketing 90035 27 792 3 428 12 28 17 45 or promotions and availability of healthy op- 90064 24 489 594 2 73 43 116 tions. Diners were exposed to many more 90066 55 194 2 130 4 29 23 52 promotional prompts in the target area, with 90232 15 175 1 304 9 16 15 31 one third of the restaurants promoting spe- Totalb (%) 222 019 17 259 8 236 (58%) 173 (42%) 409 cific items. However, those promotions were a significantly less likely to be for healthy items 1 restaurant for every 1910 persons. b 1 restaurant for every 542 persons. than the smaller number of promotional items found in the comparison area. Compar- ison area restaurants were significantly more likely to make it easier for diners to find TABLE 2—Restaurant Physical Environment Profile in South Los Angeles, Calif healthy food items by labeling them and pro- Target Area (n = 348) Comparison Area (n = 311) P viding nutritional information. Nine percent of the restaurants in the comparison area la- Restaurant type (%) beled healthy food options compared with Fast food restaurants 25.6 11.2
RESEARCH AND PRACTICE TABLE 3—Marketing and Availability of Healthy Options in Restaurants in South Los Limitations Angeles, Calif, Restaurants The inventories used in this study were com- pleted over a relatively long period of time, be- Target Area (n = 348) Comparison Area (n = 311) P tween 2002 and 2004. During that time, the Marketing (% yes) atmosphere for healthier options was changing Promotional advertisements 33.4 20.9
RESEARCH AND PRACTICE diverse cities and to distinguish the effects of 5. Block JP, Scribner RA, Desalvo KB. Poverty, race/ 24. Zip Code Databook for Los Angeles County Strategic race/ethnicity and income in determining the ethnicity, and fast food: a geographic analysis. Am J Prev Planning Areas. Los Angeles, Calif: United Way of Med. 2004;27:211–217. Greater Los Angeles; 2003. outcomes. 6. Thompson OM, Ballew C, Resnicow K, et al. Food 25. Los Angeles County Health Survey. Los Angeles, purchased away from home as a predictor of change in Calif: Los Angeles County Department of Health Ser- BMI z-score among girls. Int J Obes Relat Metab Disord. vices; 2004. About The Authors 2004;28:282–298. LaVonna Blair Lewis and David C. Sloane are at the Uni- versity of Southern California School of Policy, Planning 7. Jeffrey RW, French SA. Epidemic obesity in the and Development, Los Angeles. Lori Miller Nascimento is United States: are fast foods and television viewing with the Division of Community Health, Department of contributing? Am J Public Health. 1998; 88:277–280. Family Medicine, University of Southern California Keck 8. Fitzgerald CM, Kannan S, Sheldon S, Eagle KA. School of Medicine, Los Angeles. Allison L. Diamant is Effect of a promotional campaign on heart-healthy with the Department of General Internal Medicine and menu choices in community restaurants. J Am Diet Health Services Research, University of California, Los An- Assoc. 2004;104:429–432. geles (UCLA), School of Medicine. Joyce Jones Guinyard 9. Guthrie JF, Lin BH, Frazao E. Role of food pre- and Gwendolyn Flynn are with Community Health Coun- pared away from home in the American diet, 1977–78 cils, Inc, Los Angeles. Antronette K. Yancey is with the Di- versus 1994–96: changes and consequences. J Nutr vision of Cancer Prevention and Control Research, UCLA Educ Behav. 2002;34(3):140–150. Jonsson Comprehensive Cancer Center and the Department of Health Services, UCLA School of Public Health. 10. French SA, Harnack L, Jeffrey RW. Fast food res- Requests for reprints should be sent to LaVonna Blair taurant use among women in the Pound of Prevention Lewis, PhD, School of Policy, Planning and Development, study: dietary, behavioral and demographic correlates. University of Southern California, 650 Childs Way, Ralph Int J Obes Relat Metab Disord. 2000;24:1353–1359. and Goldy Lewis Hall Room 309, Los Angeles, CA 11. French SA, Story M, Jeffery RW. Environmental 90089–0626 (e-mail: llewis@usc.edu). influences on eating and physical activity. Ann Rev Pub- This article was accepted November 13, 2004. lic Health. 2001;22:309–335. 12. Wallack L, Dorfman L. Health messages on televi- Contributors sion commercials. Percept Mot Skills. 1994;79(2): L. B. Lewis supervised the study and the data analyses. 747–752. D. C. Sloane led the writing. L. M. Nascimento assisted 13. Mitchell O, Greenberg M. Outdoor advertising of with the study and helped complete the analyses. A. L. addictive products. J Public Health Policy. 1995;16: Diamant, J. J. Guinyard, A. K. Yancey, and G. Flynn as- 213–230. sisted with the study and analyses. All authors helped to conceptualize ideas, interpret findings, and review 14. Pratt CA, Pratt CB. Comparative content analysis drafts of the article. of food and nutrition advertisements in Ebony, Essence, and Ladies’ Home Journal. J Nutr Educ. 1995;27:11–17. 15. Pratt CA, Pratt CB. Nutritional advertisements in Human Participant Protection consumer magazines: health implications for African This study was approved by the University of Southern Americans. J Black Stud. 1996;26:504–523. California’s institutional review board. 16. Byrd-Bredbenner C, Grasso D. What is television trying to make children swallow? Content analysis of Acknowledgments the nutrition information in prime-time advertisements. This study was conducted under a grant from the Cen- J Nutr Educ. 2000;32(4):187–195. ters for Disease Control and Prevention (02153). 17. Lohmann J, Kant AK. Comparison of food groups We thank the AABLH/CHC, Inc., staff, the mem- and health claims appearing in food advertisements in bers of the AABLH coalition who collected the data 3 popular magazine categories. JAMA 2000;100: for the target area, and the students from USC who 1396–1399. collected the data for the comparison area. Two USC students, Alexander Lew and Cindy Benitez, deserve 18. Hackbarth DP, Silvestri B, Cosper W. Tobacco and special recognition for their work on this project. alcohol billboards in 50 Chicago neighborhoods: mar- ket segmentation to sell dangerous products to the poor. Public Health Rep. 2001;116:558–567. References 19. Story M, Neumark-Sztainer D, French S. Individ- 1. Hill JO, Peters JC. Environmental contributions to ual and environmental influences on adolescent eating the obesity epidemic. Science. 1998; 280(5368): behaviors. J Am Diet Assoc. 2002; 102(3 suppl): 1371–1374. S40–S51. 2. Stokols D. Establishing and maintaining healthy 20. Tirodkar MA, Jain A. Food messages on African environments: toward a social ecology of health pro- American television shows. Am J Public Health. 2003; motion. Am Psychol. 1992;47:6–22. 93:439–441. 3. Sloane DC, Diamant AL, Lewis LB, et al. Improv- 21. Parloff R. Is fat the next tobacco? Fortune 2003; ing the nutritional resource environment for healthy 147(2):50–70 living through community-based participatory research. J Gen Intern Med. 2003;18:568–575. 22. Whelan A, Wrigley N, Warm D, Cannings E. Life in a food desert. Urban Stud. 2002;39:2083–2100. 4. Morland K, Wing S, Diez Roux A, Poole C. Neigh- borhood characteristics associated with the location of 23. Wrigley N, Warm D, Margetts B. Deprivation, diet, food stores and food service places. 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