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  • 标题:Measuring the food service environment: development and implementation of assessment tools.
  • 作者:Minaker, Leia M. ; Raine, Kim D. ; Cash, Sean B.
  • 期刊名称:Canadian Journal of Public Health
  • 印刷版ISSN:0008-4263
  • 出版年度:2009
  • 期号:November
  • 语种:English
  • 出版社:Canadian Public Health Association
  • 关键词:Food habits;Food services;Obesity;Public health;Universities and colleges

Measuring the food service environment: development and implementation of assessment tools.


Minaker, Leia M. ; Raine, Kim D. ; Cash, Sean B. 等


The obesity epidemic is influenced by social, cultural, economic and physical contexts. (1-4) The accessibility, availability and affordability of foods have an impact on food purchasing and consumption behaviours. Access to healthy foods has been related to certain neighbourhood characteristics. Specifically, access to healthy foods is increased in higher-income neighbourhoods. (5,6) Conversely, lower-income neighbourhoods may have increased access to fast food restaurants. (7,8) Residents' diets have been found to correlate with their food environment, particularly in lower income and minority populations. (5,6,9,10) There are few published conceptual models of the food environment (3,11) and, until recently, even fewer tools to assess it. (12-14) This paper describes the development and implementation of food environment assessment tools.

METHODS

Setting

Data were collected between January and May 2006 at the University of Alberta, which covers 50 square city blocks in a city of approximately one million people. The campus is workplace, school or home to at least 45,000 people and thus was deemed an appropriate setting in which to conduct the current study.

All food service outlets, defined as outlets preparing and serving food for immediate consumption, within the geographic boundaries of the campus were defined as the sample. Convenience stores (n=10) were excluded from the sample as the primary purpose of most convenience stores was not service of prepared meals. There were no grocery stores in the geographic area of study.

Measures

Measures were based on Glanz and colleagues' conceptual model of community nutrition environments. (3)

Community Nutrition Environment

Measures included the type and number of each food outlet in the community and reflected the accessibility of food service outlets.

Food outlet types were defined as Asian, burger outlets, cafeterias, coffee shops, pizza places, sandwich shops (main products are "subs", pitas or sandwiches), sit-down restaurants and smoothies outlets (i.e., outlets serving mostly dairy-based beverages blended with fruit or juice). The number of outlets in each category was tallied.

Consumer Nutrition Environment

Food availability: The number of healthy and unhealthy options of main meals, snacks and beverages were assessed for each type of food outlet type described above. "Healthy" and "unhealthy" foods were defined using the 2005 British Columbia Ministry of Education and Ministry of Health food classifications, (15) as at the time of the study these were the only publicly accessible Canadian food classification guidelines available for educational institutions. Classifications are based on total energy (kcal) per serving, amount of processing and key nutrients (including saturated fat, trans fat, sodium and sugar). Healthy foods and beverages were considered those in the "Choose Most" or "Choose Sometimes" categories.

Convenience: Wait times at each establishment and hours of operation were recorded as measures of convenience. Wait times were measured by calculating the difference between the time a customer entered a line-up during the lunch hour and the time the customer was handed his or her food. Wait times of sit-down restaurants were not assessed; for these, we assumed a slower service and lower convenience than fast-food outlets.

Additionally, the mean number and range of weekday and weekend hours of operation were calculated. Other indicators of convenience, such as parking and drive-thru service, were not measured, as the setting of this community (a university) precluded meaningful assessment. Specifically, the vast majority of outlets were located within main buildings on campus and thus had neither parking nor drive-thru service.

Food affordability: "Typical" foods, those predominantly advertised within an outlet or that were observed as commonly ordered items, were selected by the first author. Food price, food weight (g) and energy content were used to determine the energy density (kilocalories per gram) and energy cost ($Cdn/100 kcal). (16) Details of these methods, analyses and results are reported elsewhere (unpublished data: Minaker, Raine, Cash, 2007).

Food promotion: The number and subject of promotions within each outlet were assessed. Promotions were coded into one of the following categories: unhealthy, healthy and overeating. The previous definitions of healthy and unhealthy were used to code the promotions. (15) In addition, promoting healthier preparation options (defined as any alternative method of preparing the same food to have a higher nutritional value or be lower in salt, fat or sugar) also counted as a "healthy" promotion. Advertising "sizing up" for value (e.g., "Super-size", "Jumbo", or "All you can eat" options) was classified as promoting overeating. Each advertisement was coded in up to two categories (e.g., Super-size options for burger and fries combinations were coded as both unhealthy and overeating).

Nutrition information: Nutrition information, information about the nutritional content of the food, was considered "available" if it could be found online or within the food outlet. The number of items with health-related labels on the menu was also recorded.

Analysis

Quantitative data were analysed using SPSS 12.0 for Windows (SPSS Inc., Chicago, IL, 2003). For each inferential statistical test, a p-value of [less than or equal to] 0.05 represented statistical significance.

Consumer Nutrition Environment

Food availability: Means and ranges of food availability data were reported where appropriate. In addition, the mean proportions of healthy main meals, snacks and beverages and specific food availability were regressed on categorical "dummy" variables representing each outlet type minus one "base case" that was varied to provide a complete set of pairwise comparisons. This form of dummy variable regression is equivalent to the use of a one-way ANOVA comparing all outlet types.

Convenience: To establish whether the hours of operation differed across outlet type, linear regressions were performed between weekday or weekend hours of operation and outlet type. Wait times were also regressed on outlet type.

Food promotion within food outlets: The number of advertisements and the corresponding proportion of each advertisement type were calculated. The mean proportions of the subject matter categories were regressed on outlet type.

Nutrition information: The proportions of outlets with health-related menu labels, the mean proportion of items labelled and the proportion of outlets with available nutrition information were each regressed on outlet type.

Composite rankings: To assess how these different food outlets were related to food choice constructs at an environmental level, measures developed to assess the nutrition environment were grouped into categories reflecting overall convenience, cost/value, health and health-promoting food advertising within outlets. Because of the diverse units of measurement used for the various observed measures, outlet types were ranked in each category. Ranks of each column were averaged to obtain the final rank of each outlet type. Where averages were identical, the same rank was given. Measures related to convenience were the number of outlets, hours of operation and wait times, and they were ranked such that the most convenient situations were ranked before less convenient situations. Measures in the cost/value grouping were super-size options, mean energy cost and mean energy density of typical foods. Outlets were ranked such that situations of higher value (in terms of energy) for the dollar were ranked before lower value situations. Measures related to health were the proportion of healthy food options available, healthier preparation options, specific healthy item availability, health-related food labels and availability of nutrition information; these were ranked such that healthier situations were ranked before less healthy situations. Finally, outlet types were ranked according to the three categories of promotions found within food outlets. Outlets were ranked such that more healthful promotions were ranked before less healthful promotions. Spearman's rho was used to formally investigate this hypothesis.

RESULTS

Community Nutrition Environment

There were 75 food outlets within the geographic boundaries. Table 1 shows the number and proportion of total for each outlet type.

Consumer Nutrition Environment

Food availability: Seven of 75 food outlets offered super-size options. Burger outlets were significantly more likely to super-size than all other types of outlet (data not shown). Burger outlets and pizza places had lower proportions of healthy main meals than all other outlet types (range: p=0.000 when compared with Asian outlets to p=0.015 when compared with sit-down restaurants). Smoothies outlets had a higher mean proportion of healthy main meals than coffee shops (p=0.006), sandwich shops (p=0.006), and sit-down restaurants (p=0.008) (see Table 2 for number of outlets offering healthy main meals and proportion of healthy items assessed).

Sandwich shops had a higher mean proportion of healthy sides and snacks than coffee shops (p=0.034). All other comparisons were not statistically significant (see Table 2). Of the 18 sandwich shops, 12 (67%) allowed whole-wheat bread choices instead of white bread, and did so at no extra cost. Of the 10 cafeterias, 4 (40%) allowed whole-wheat bread choices instead of white bread. One of the five burger shops offered baked potatoes instead of French fries for no additional cost. No other healthier preparation options were found on campus (data not shown).

Convenience: Table 1 describes the mean wait times and hours of operation associated with each outlet type. Cafeterias had longer wait times than coffee shops (p=0.035). All other comparisons were non-significant.

Food promotion within food service outlets: Table 3 compares advertisements by food outlet types. All overeating advertisements also advertised unhealthy foods. Pizza places had higher proportions of unhealthy advertisements than all other outlet types. Smoothies outlets had a lower mean proportion of unhealthy advertisements and a higher mean proportion of healthy advertisements than all other outlet types. Burger outlets had more overeating advertisements than all other outlet types.

Nutrition information: Smoothies outlets were more likely to label food on menus according to health or food content than Asian outlets (p=0.002), burger outlets (p=0.021), cafeterias (p=0.019), pizza places (p=0.012) and sit-down restaurants (p=0.017) (data not shown). Burger outlets were more likely to provide nutrition information than Asian outlets (p=0.025), cafeterias (p=0.001), coffee shops (p=0.030) and sit-down restaurants (p=0.003). Sandwich shops were more likely to provide nutrition information than were cafeterias (p=0.000) and sit-down restaurants (p=0.005). Pizza places were more likely to provide nutrition information than sit-down restaurants (p=0.032) and cafeterias (p=0.009). All other comparisons were not significant (data not shown).

Composite rankings: As presented in Table 4, composite rankings of outlet types that ranked higher in convenience and cost/value tended to rank lower in health and healthy food promotions. There was a positive correlation between convenience measures and cost/value measures (r=0.67, n=8, p<0.10). There was a negative correlation between cost/value measures and health (r=-0.74, n=8, p<0.05) and between cost/value measures and healthy food promotions (r=-0.80, n=8, p<0.05).

DISCUSSION

The measures developed, based on the literature to date and consistent with recently published nutrition environment measures, (12) yielded results consistent with expected outcomes, with some limitations (discussed below). The logic of the findings suggests both face and content validity. Future research is necessary to refine instruments, to address identified limitations (minor) and to assess reliability.

The most common reasons why frequent patrons of fast-food restaurants choose to patronize these restaurants are that they are quick, convenient, inexpensive and sell tasty food. (17) People may also consider health when making food choices, even when eating out. (18,19) The vast majority of the food outlets in the current study were fast-food restaurants--a broad category under which all outlet types in the current study other than cafeterias and sit-down restaurants fell. Although the current study did not address the "tastiness" of the food across outlet types, other reasons given by consumers in making food outlet choices were evaluated, including convenience, cost and health. Using composite rankings of convenience, cost and health, this study is the first to our knowledge to empirically show the relations among convenience, cost and health for different types of food outlet.

The current study distinguished between types of fast-food outlet with respect to the "health" of the outlets' food environments. In other studies (12) fast-food outlets have been thought to represent unhealthy food environments, and living in proximity to such outlets has been related to obesity (20) and cardiovascular outcomes. (21) Although the assumption that fast-food outlets represent unhealthy food environments is reasonable, based on the evidence that fast-food consumption is related to increased body mass index, (22-24) the current study indicates that fast-food outlets are variable in the health of their food environments. For example, burger outlets ranked low in measures of health and healthy food promotions and higher in convenience and cost/value. On the other hand, fast-food smoothies outlets and sandwich shops ranked highly in health and healthy food promotions and lower in convenience and cost/value. To further illustrate the difference between types of fast-food outlets, burger outlets had the lowest mean proportion of healthy main meal options (9%) and smoothies outlets had the highest (96%). To include all types of fast-food outlets under one definition or construct may be less precise than specifying the type of fast-food outlet.

Following completion of this research, in 2007, the BC guidelines used to define healthy vs. unhealthy foods (the key measure used in assessing food availability within the consumer nutrition environment) were revised to reflect the updated Canada's Food Guide. Major revisions include further restricting the sodium and fat content of many foods. This revision would likely alter the findings of this study slightly by reclassifying certain foods as unhealthy rather than healthy. Our findings could, therefore, be conservative.

Two measures developed in the current study--observing the availability of super-size options and nutrition information--may be less meaningful than originally thought. Every outlet that offered super-size options (eight outlets) and/or nutrition information (26 outlets) were corporate franchises. The availability of nutrition information may be more indicative of the company's resources to have the nutrition content of food products evaluated than of whether the foods served are healthy. Larger chains may be under more external pressure to provide nutrition information.

Assessing the availability of nutrition information may not be a useful expenditure of time or resources when assessing the food environment, particularly given recent findings indicating that consumers may not use or even understand nutrition information. (25,26) Future research to refine the scoring system could address these limitations.

Unhealthy food promotion was far more prevalent than healthy food promotion. Of all outlet types, smoothies outlets advertised unhealthy items least (25% of advertisements) and healthy items most (47% of advertisements). Conversely, pizza places advertised unhealthy options more (86% of advertisements) and healthy options very infrequently (only 3% of advertisements). Advertisements in food outlets may merely reflect the food sold within the outlets. Indeed, it seems intuitive that the proportion of healthy advertisements would reflect the proportion of healthy items available. This measure may therefore be considered redundant and thus a limitation in the scoring system. Alternatively, it could be an easily applied proxy for the overall healthfulness of the outlet. Further, it is possible that despite the availability of healthy foods at fast food outlets, the promotion of even healthy foods could contribute to over-consumption. Further research could investigate the context of people's food choices in a variety of food service settings.

This study attempted to comprehensively evaluate the food service environment of a small community. It appeared that the current tool had some redundancies and that certain components of the tool were less useful than others. More research is needed to evaluate the worth of each of the tools described here and to explicate the relation between the food environment and residents' diets.

Acknowledgements: This research was supported by a scholarship to Leia Minaker from the Social Sciences and Humanities Research Council and funding support by POWER (Promoting Optimal Weights through Ecological Research), a New Emerging Team in the Study of Obesity and Healthy Body Weight, Canadian Institutes of Health Research (CIHR)/Heart and Stroke Foundation of Canada (HSFC). Kim Raine acknowledges salary support from the Alberta Heritage Foundation for Medical Research, CIHR and HSFC.

Received: February 17, 2009

Accepted: August 15, 2009

REFERENCES

(1.) Booth SL, Sallis JF, Ritenbaugh C, Hill JO, Birch LL, Frank LD, et al. Environmental and societal factors affect food choice and physical activity: Rationale, influences, and leverage points. Nutr Rev 2001;59(3 Pt 2):S21-39.

(2.) Drewnowski A, Rolls BJ. How to modify the food environment. J Nutr 2005;135(4):898-99.

(3.) Glanz K, Sallis JF, Saelens BE, Frank LD. Healthy nutrition environments: Concepts and measures. Am J Health Promot 2005;19(5):330-33.

(4.) Story M, Neumark-Sztainer D, French S. Individual and environmental influences on adolescent eating behaviors. J Am Diet Assoc2002;102(3 Suppl):S40-51.

(5.) Cheadle A, Psaty BM, Curry S, Wagner E, Diehr P, Koepsell T, et al. Community-level comparisons between the grocery store environment and individual dietary practices. Prev Med 1991;20(2):250-61.

(6.) Morland K, Wing S, Roux AD. The contextual effect of the local food environment on residents' diets: The Atherosclerosis Risk in Communities Study. Am J Public Health 2002;92(11):1761-67.

(7.) Hemphill EB, Raine KD, Spence JC, Tomic K. Exploring obesogenic food environments in Edmonton, Canada: Are socioeconomic factors related to fast-food outlet access? Am J Health Promot, in press.

(8.) Block JP, Scribner RA, DeSalvo KB. Fast food, race/ethnicity, and income: A geographic analysis. Am J Prev Med 2004;27:211-17.

(9.) Cheadle A, Psaty BM, Curry S, Wagner E, Diehr P, Koepsell T, et al. Can measures of the grocery store environment be used to track community-level dietary changes? Prev Med 1993;22(3):361-72.

(10.) Morland K, Wing S, Diez Roux A, Poole C. Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med 2002;22(1):23-29.

(11.) Swinburn B, Egger G, Raza F. Dissecting obesogenic environments: The development and application of a framework for identifying and prioritizing environmental interventions for obesity. Prev Med 1999;29(6):563-70.

(12.) Saelens BE, Glanz K, Sallis JF, Frank LD. Nutrition environment measures study in restaurants (NEMS-R). Am J Prev Med 2007;32(4):273-81.

(13.) Glanz K, Sallis JF, Saelens BE, Frank LD. Nutrition environment measures survey in stores (NEMS-S): Development and evaluation. Am J Prev Med 2007;32(4):282-89.

(14.) Lewis LB, Sloane DC, Nascimento LM, Diamant AL, Guinyard JJ, Yancey AK, et al. African Americans' access to healthy food options in south Los Angeles restaurants. Am J Public Health 2005;95:668-73.

(15.) Ministry of Education, Ministry of Health. Guidelines for Food and Beverage Sales in B.C. Schools. 2005, Available online at: http://www.bced.gov.bc.ca/ health/guidelines_sales.pdf. (Accessed August 17, 2006).

(16.) Darmon N, Briend A, Drewnowski A. Energy-dense diets are associated with lower diet costs: A community study of French adults. Public Health Nutr 2004;7:21-27.

(17.) Rydell SA, Harnack LJ, Oakes JM, Story M, Jeffery RW, French SA. Why eat at fast-food restaurants: Reported reasons among frequent consumers. J Am Diet Assoc 2008;108(12):2066-70.

(18.) Stewart H, Blisard N, Jolliffe D. Let's Eat Out: Americans Weigh Taste, Convenience and Nutrition. Washington, DC: United States Department of Agriculture Economic Research Service, 2006.

(19.) Glanz K, Basil M, Maibach E, Goldberg J, Snyder D. Why Americans eat what they do: Taste, nutrition, cost, convenience, and weight control concerns as influences on food consumption. J Am Diet Assoc 1998;98(10):1118-26.

(20.) Maddock J. The relationship between obesity and the prevalence of fast food restaurants: State-level analysis. Am J Health Promot 2004;19(2):137-43.

(21.) Alter DA, Eny K. The relationship between the supply of fast-food chains and cardiovascular outcomes. Can J Public Health 2005;96(3):173-77.

(22.) French SA, Harnack L, Jeffery RW. Fast food restaurant use among women in the Pound of Prevention study: Dietary, behavioral and demographic correlates. Int J Obesity Related Metabol Disorders 2000;24(10):1353-60.

(23.) Duffey KJ, Gordon-Larsen P, Jacobs DR, Williams OD, Popkin BM. Differential associations of fast food and restaurant food consumption with 3-y change in body mass index: The Coronary Artery Risk Development in Young Adults Study. Am J Clin Nutr 2007;85:201-8.

(24.) Niemeier HM, Raynor HA, Lloyd-Richardson EE, Rogers ML, Wing RR. Fast food consumption and breakfast skipping: Predictors of weight gain from adolescence to adulthood in a nationally representative sample. J Adolesc Health 2006;39:842-49.

(25.) O'Dougherty M, Harnack LI, French SA, Story M, Oaks JM, Jeffery RW. Nutrition labeling and value size pricing at fastfood restaurants: A consumer perspective. Am J Health Promot 2006;20(4):247-50.

(26.) Krukowski RA, Harvey-Berino J, Kolodinsky J, Narsana RT, DeSisto TP. Consumers may not use or understand calorie labeling in restaurants. J Am Diet Assoc 2006;106(6):917-20.

Leia M. Minaker, MSc, [1] Kim D. Raine, PhD, RD, [1] Sean B. Cash, PhD [2]

Author Affiliations

[1.] Centre for Health Promotion Studies, School of Public Health, University of Alberta, Edmonton, AB

[2.] Department of Rural Economy, University of Alberta, Edmonton; Department of Consumer Science, University of Wisconsin--Madison, Madison, WI

Correspondence and reprint requests: Kim D. Raine, PhD, RD, Centre for Health Promotion Studies, School of Public Health, University of Alberta, 5-10 University Terrace, 8303-112 St., Edmonton, AB T6G 2T4, Tel: 780-492-4039, Fax: 780-4929579, E-mail: kim.raine@ualberta.ca
Table 1. Convenience of Accessing Food from Different Outlet Types

Type of Outlet        Number   Proportion of     Mean Number
                                 Total (%)     of Weekday Hours
                                                     (SD)

Asian outlet             8         10.7           53 (13.1)
Burger outlet            5          6.7           65 (12.3) *
Cafeteria               13         17.3           39 (14.1)
Coffee shop             12         16.0           67 (20.3) *

Pizza place              8         10.7           55 (14.8) *
Sandwich shop           18         24.0           55 (18.1) *
Sit-down restaurant      6          8.0           65 (10.3) *
Smoothies outlet         5          6.7           34 (17.0)

Type of Outlet         Weekday      Mean Wait      Wait Time
                      Hour Range     Time in      Range (min)
                                   Minutes (SD)

Asian outlet            33-75       3.5 (3.3)         1-8
Burger outlet           53-86       2.7 (1.8)         1-4
Cafeteria               18-64       5.9 (4.0)         1-11
Coffee shop             38-120      2.8 (3.1)         0-8
                                    ([dagger])
Pizza place             25-75       3.8 (4.3)         0-11
Sandwich shop           20-80       4.2 (2.4)         1-10
Sit-down restaurant     55-81          n/a            n/a
Smoothies outlet        30-70       2.3 (1.7)         0-4

* Indicates statistically significantly (p<0.05) longer mean
number of hours of operation than cafeterias, using regression
analysis with categorical independent variables.

([dagger]) Indicates statistically significantly (p<0.05) shorter
mean wait time than cafeterias, using regression analysis.

Table 2. Proportion of Healthy Meals, Sides and Beverages by Type
of Outlet

Type of Outlet        Number *   Mean % Healthy     Number
                                   Main Meals     ([dagger])

Asian outlet              8             68            7
Burger outlet             5              9            5
Cafeteria                10             65            7
Coffee shop               5             47           12
Pizza place               7             12            5
Sandwich shop            18             53           16
Sit-down restaurant       5             47            5
Smoothies outlet          3             96            4

Type of Outlet        Mean % Healthy     Number    Mean % Healthy
                      Sides or Snacks   ([double     Beverages
                                        dagger])

Asian outlet                  15            7             28
Burger outlet                 14            4             28
Cafeteria                     20            8             53
Coffee shop                   11           12             32
Pizza place                   21            6             22
Sandwich shop                 32           17             29
Sit-down restaurant           27            5             24
Smoothies outlet              23            4             45

* Includes all establishments that serve main meals.

([dagger]) Includes all establishments that serve sides or snacks.

([double dagger]) Includes all establishments that serve beverages.

Table 3. Number and Proportion of Different Advertisement
Types * by Type of Outlet

Type of Outlet           Number     % Unhealthy
                         of Ads    Ads ([dagger])

Asian outlets               40           65
Burger outlets              44           64
Cafeterias                 141           60
Coffee shop                 63           48
Pizza place                 35           86
Sandwich shop              114           50
Sit-down restaurants         7           29
Smoothies outlets           55           25

Type of Outlet            % Healthy       % Overeating
                         Ads ([double    Ads ([section])
                           dagger])

Asian outlets                  20               10
Burger outlets                  2               18
Cafeterias                     25                1
Coffee shop                    10                2
Pizza place                     3                6
Sandwich shop                  25                5
Sit-down restaurants           14                0
Smoothies outlets              47                0

* The percentage of each type of advertisement may not add up to
100% because the subject matter of some ads fell beyond the scope
of the four categories (e.g., ads for a contest). Alternatively,
the percentage of each type of ad may add up to more than 100%
because the subject matter of some ads was coded in up to two
groups (e.g., 12 ads focused on both unhealthy food and
overeating).

([dagger]) All outlets had a statistically significantly lower
mean proportion of unhealthy ads than pizza places; except for
sit-down restaurants, all outlets had a statistically
significantly higher mean proportion of unhealthy ads than
smoothies outlets.

([double dagger]) All outlets had a statistically significantly
lower mean proportion of healthy ads than smoothies outlets;
except for sit-down restaurants, all outlets had a statistically
significantly higher mean proportion of healthy ads than burger
outlets and pizza places; coffee shops had a statistically
significantly lower mean proportion of healthy ads than
cafeterias and sandwich shops.

([section]) All outlets had a statistically significantly lower
mean proportion of overeating ads than burger outlets;
cafeterias, coffee shops and smoothies outlets had a
statistically significantly lower mean proportion of overeating
ads than Asian outlets.

Table 4. Summary of Outlet Type Characteristics *

Outlet Type           Convenience   Cost/Value   Health   Healthy Food
                                                           Promotion
Asian outlet               3            4          7           6
Burger outlet              2            1          8           7
Cafeteria                  5            6          4           3
Coffee outlet              1            2          5           5
Pizza place                3            3          6           6
Sandwich outlet            3            5          1           4
Sit-down restaurant        4            4          3           2
Smoothies outlet           3            7          2           1

* Rankings as noted in the text
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