Effects of calorie labeling and value size pricing on fast food meal choices: Results from an experimental trial
© Harnack et al; licensee BioMed Central Ltd. 2008
Received: 07 August 2008
Accepted: 05 December 2008
Published: 05 December 2008
Although point-of-purchase calorie labeling at restaurants has been proposed as a strategy for improving consumer food choices, a limited number of studies have evaluated this approach. Likewise, little research has been conducted to evaluate the influence of value size pricing on restaurant meal choices.
To examine the effect of point-of-purchase calorie information and value size pricing on fast food meal choices a randomized 2 × 2 factorial experiment was conducted in which participants ordered a fast food meal from one of four menus that varied with respect to whether calorie information was provided and whether value size pricing was used. Study participants included 594 adolescents and adults who regularly ate at fast food restaurants. Study staff recorded the foods ordered and consumed by each participant. Participants also completed surveys to assess attitudes, beliefs and practices related to fast food and nutrition.
No significant differences in the energy composition of meals ordered or eaten were found between menu conditions. The average energy content of meals ordered by those randomized to a menu that included calorie information and did not include value size pricing was 842 kcals compared with 827 kcals for those who ordered their meal from a menu that did not include calorie information but had value size pricing (control menu). Results were similar in most analyses conducted stratified by factors such as age, race and education level.
Additional research is needed to better evaluate the effects of calorie labeling and value size pricing on fast food meal choices. Studies in which participants are repeatedly exposed to these factors are needed since long term exposure may be required for behavior change.
The prevalence of overweight and obesity in the United States has increased dramatically . One factor that many believe to be an important contributor to this increase is the number of meals and snacks eaten away from home. Over the past several decades the proportion of total food expenditures spent on food away from home has increased from 34% in 1974 to about half in 2004 . Foods available at restaurants and other away from home eating locations tend to be higher in calories and fat [3–6] and often larger in portion size [7, 8] compared to foods eaten from home, which may contribute to energy intake in excess of energy expenditure.
In recognition of the potential role of meals eaten away from home on excess energy intake, a number of strategies to promote more healthful food choices when eating out have been proposed [9–13]. One recommended approach is to increase the availability of nutrition information for foods eaten and prepared away from home [9–13]. Moreover, it has been suggested that fast food chain restaurants be required to provide calorie information on their menu boards or on product packaging . In theory, the provision of calorie information at the point-of-purchase for restaurant products may help consumers limit excess calorie intake.
Aside from providing point-of-purchase nutrition information, it has also been suggested that the food industry reduce its use of value size pricing as a marketing technique . Value size pricing involves structuring product prices such that the per unit cost (e.g., price per ounce) decreases as portion size increases. It has been speculated that this product pricing structure leads to higher energy intake when eating out because value conscious consumers may be prone to purchase larger-sized food items .
Although a number of studies have been conducted to evaluate the effect of point-of-purchase nutrition promotions on foods purchased away from home [14–37], the relevance of most of these studies to calorie labeling in a restaurant context is limited for a number of reasons. First, many of the studies evaluated point-of-purchase promotional activities that focused solely on identifying and promoting more healthful food choices (e.g., low-fat foods) [16, 19–23, 27, 28, 30–33] versus providing nutrient content information, such as calorie information, for the full range of available foods. Many of the studies were conducted in a workplace or university setting [14–20, 31–37] instead of a restaurant. Among those studies that evaluated comprehensive calorie labeling (e.g., providing calorie information for most food items) [14, 15, 17, 18, 24, 26, 34–37], a number evaluated self-reported behavioral intentions [14, 24–26, 29, 37] rather than actual food purchases.
In consideration of the limitations of previous studies, we conducted an experimental trial to examine the effects on food purchases of providing calorie information at the point-of-purchase for food items on a fast food restaurant menu. The influence of value size pricing on fast food meal choices and consumption was also examined.
Four paper menus designed to be similar in format to menu boards at fast food restaurants were developed. Food items on all four menus were lunch and dinner items available at McDonald's at the start of the experiment (October 2005). Thus, the menu included a variety of foods and beverages including hamburgers (n = 9), fish and chicken entrees (n = 6), salads (n = 4), french fries (n = 1), beverages (n = 9), and desserts (n = 4). All of the portion size options available at McDonalds at the time of the study were included on the menu as well. To blind participants to the meal source some food descriptions were modified. For example, the Big Mac™ hamburger was given the generic description 'Double Cheese Burger Deluxe'. Each of the four study menus is briefly described as follows:
To calculate the standardized prices, a standard price per ounce for each product type (e.g., soft drinks) was determined and applied to calculate the total price for each product portion size. The standard price per ounce used in this calculation was based on the price per ounce of the medium-sized portion available (price of medium serving divided by the total number of ounces in a medium serving). Using this price per ounce estimate, the price for each product portion size option was calculated by multiplying the standard price per ounce by the number of ounces in each product portion. The price menu did not include calorie information.
Calorie plus Price Menu
Participants were recruited from suburban and urban communities in the Minneapolis St. Paul, Minnesota metropolitan area via advertisements placed in community newspapers and flyers posted in community locations. Also, recruitment was conducted in-person at selected area high school. A $25 gift certificate to a discount store was offered as an incentive to participate.
Those who called the recruitment phone number provided in advertisements and flyers were screened for the following eligibility criteria: 1) ≥ 16 years of age; 2) eat at fast food restaurants ≥ 1 time/week; and 3) able to read and speak English. Those who met eligibility criteria were told that participation would involve completing a two-hour evening study session at which they would be required to purchase a fast food restaurant meal for their dinner and complete several questionnaires. To minimize subject reactivity participants were blinded to the menu manipulation aspect of the study. The study purpose was described as "learning more about fast food meal choices". Participants were also blinded to the source of the fast food. Those who indicated an interest in participating were scheduled for a study session, and randomly assigned to one of the four menu conditions.
Study Session Procedures
Study sessions were held on weekday and weekend evenings (4:50 pm–7:30 pm) between October 2005 and April 2006. The sessions were held in three sites. Two of the sites were conference rooms in suburban hotels. One site was the basement of an urban church. Each location was within six blocks of a McDonald's restaurant.
Upon arrival at the study session each participant met individually with a study staff member who provided him/her with the study menu to which they were randomly assigned. The participant was asked to order their dinner from the menu, and the study staff member recorded the order. After ordering participants were told that payment for their meal would be collected from them at the end of the study session, and then they were escorted to a room set up as a dining area. Participants were asked to complete a survey while waiting for their food. The survey included questions about fast food consumption frequency, opinions about fast food restaurants, and food shopping and preparation practices.
Immediately after participants placed their dinner order study staff drove to the nearby McDonald's restaurant to purchase the meals ordered by participants. Participants were then provided their food by study staff. When participants were finished eating, leftover food was collected and covertly measured using a digital food scale.
After meals were consumed participants were escorted to an exit interview area where a final interview was completed by a research staff person. This interview included questions about nutrition knowledge and beliefs and self-reported height and weight. After participants completed the interview they were informed of the true intent of the study (debriefed) and told that they would not have to pay for their meal. They were then asked several questions to determine whether they had noticed the menu manipulations, and whether they were aware of the true purpose of the study or the source of the food prior to the study session.
The University of Minnesota Institutional Review Board approved all study procedures.
Determining Nutrient Composition of Meals Selected and Consumed
The nutrient composition of the meals selected and consumed by participants were calculated using a food composition table available from the McDonald's corporation  in combination with the gram weight information for the amount of each food item selected and consumed. Although energy (kcal) was the primary focus, estimates for total fat, total carbohydrate, total protein, saturated fat, dietary fiber, vitamin C, and calcium were also generated so that possible experimental effects on selection and consumption of these nutrients could be examined.
A total of 605 individuals completed the study procedures. Eleven of these individuals were excluded from the analyses because they disclosed during the debriefing that they knew before participating in the study that calories might be listed or price would be modified on the menu (n = 2) or knew that they would not have to pay for their meal (n = 9).
Means and frequencies were calculated to describe the characteristics of the study sample. To evaluate whether randomization was effective in equally distributing potential confounders across experimental conditions, characteristics of participants such as age, sex, and education level were compared across experimental groups.
General linear modeling (GLM)  was conducted to test for differences in the food and nutrient composition of meals selected and consumed by those in each experimental condition. In each model, the food or nutrient under consideration was included as the dependent variable and experimental condition was included as the independent variable. Possible differences in experimental condition effects by age (16–28 years, 29–49 years, 50+ years), sex (male, female), highest education level (college graduate or higher, less than college graduate), body weight (normal weight, overweight or obese), and perceived importance of nutrition and price when eating fast food were examined by conducting analyses stratified by these factors, and qualitatively comparing results. Tests for interactions were not conducted because power for two-way interactions was weak.
All analyses were conducted using SAS (Version 9.1.2, 2004; SAS Institute, Cary, NC).
The study was designed to have strong power (85%) to detect small main effects (delta < 100 kcal; effect size = 0.2) under ideal conditions (e.g., low variance, perfect randomization, Gaussian errors). Modest to strong effect sizes may be detected in analyses conducted stratified by factors such as sex and education level. For example, in analyses involving one-half of the sample, modest effects (delta < 140 kcal) are detectable.
Demographic characteristics of participants by experimental group
(n = 594)
(n = 151)
(n = 143)
Calorie + pricec
(n = 150)
(n = 150)
graduate or less
College graduate or higher
Importance of taste, price, nutrition, and convenience when purchasing food from a fast food restaurant and the grocery store
Very important % (n)
Somewhat important % (n)
Not very important% (n)
Not at all important % (n)
Mean nutrient contents of meals ordered and consumed by participants in each experimental group
Calorie + Pricec
Total fat, g
Total carbohydrate, g
Total protein, g
Saturated fat, g
Dietary fiber, g
Vitamin C, mg
Total fat, g
Total carbohydrate, g
Total protein, g
Saturated fat, g
Dietary fiber, g
Vitamin C, mg
Percent of those in the calorie, price, and calories + price experimental conditions who reported noticing the menu modifications
Calories + pricec
Noticed price modification
To evaluate whether calorie information may have influenced food choices among those who reported noticing this information relative to those who did not, a linear regression analysis was conducted. This analysis was restricted to participants in the calories and calories plus price experimental conditions. Covariates included in the analysis were factors found to differ between those who reported noticing the calorie information and those who did not notice this information, specifically age, race, education level, and site. Results from the multivariate analysis indicated that average energy intake was comparable between those who reported noticing the calorie information and those who did not (690 kcal versus 671 kcal; p = 0.65). Results were similarly null in a comparable analysis conducted to compare energy intake of those who noticed and did not notice the pricing structure modification (p= 0.90).
Results of the present study showed that providing calorie information at the point-of-purchase on a fast food restaurant menu had little effect on food selection and consumption among a sample of adolescents and adults who eat regularly at fast food restaurants. These results contribute to a limited literature on point-of-purchase calorie labeling. To date, seven studies have examined the influence of providing calorie composition information at the point-of-purchase for most food items available in a cafeteria [14, 15, 17, 18, 37] or restaurant [24, 26] setting. Among these studies, one found no evidence of an effect of calorie labeling on food choices . In contrast, six of the seven studies found some evidence in support of the hypothesis that calorie information may positively influence food choices [14, 15, 24, 17, 26], however, results from most of these studies were weak or inconsistent. For example, Conklin et al. found that only 18% of college freshman living on a campus where point-of-purchase nutrition information was available in the dining commons agreed that the available information affected their choice of food .
A host of factors may explain the weak and inconsistent results in the literature. Firstly, the calorie labeling formats utilized varied across studies. For example, in one study 5 cm by 5 cm cards with calories in red ink were placed as close as possible to food items in a hospital cafeteria . In contrast, in another cafeteria study calorie information for all menu items was presented on two large posters at the cafeteria entrances, with leaflets distributed to patrons to encourage use of this information . Also, in three studies calorie information was provided along with other nutrient composition information such as saturated fat and fiber [14, 24, 37]. In the present study, calorie information alone was provided on a restaurant menu in a column between the food item name and price. To draw attention to it, the column was highlighted in bright yellow. Nonetheless, only slightly more than one-half of those who ordered from a menu with calories listed reported noticing this information. The calorie content of meals selected by those who noticed the information compared to those who did not were similar, suggesting our null results are not solely due to the failure of some to notice the calorie information.
The designs of studies conducted to date have varied greatly, with all having limitations. Most notably, four studies measured behavioral intentions [14, 24, 26, 37] rather than actual food choices. Consequently, social desirably bias in reporting is a significant concern in these studies. Other major weaknesses include use of quasi-experimental designs [15, 17, 18] where factors other than the experimental conditions being tested may have differed across test periods due to lack of randomization. The present study is the first to measure actual food choices within an experimental design where participants were randomly assigned to experimental condition. However, it has methodological weaknesses. Participants were exposed to the calorie information on only one occasion. This is a critical shortcoming if repeated exposure to calorie information is required before awareness or behavior change may be expected.
A final issue is that the weak and inconsistent results across studies may reflect heterogeneity in response to calorie labeling, with certain population subgroups more apt to utilize calorie information when it is provided. For example, a number of studies have found that females are more likely than males to use nutrition information on packaged food products [40–45]. Consequently, it is perhaps not surprising that Milich et al found calorie labeling to effect cafeteria food choices in a sample of female hospital employees , whereas Mayer et al. found no significant effect of calorie labeling on cafeteria food choices in a study involving male and females employees of a Fortune 500 company . The results of the present study are consistent with the notion that certain population subgroups may be more likely to use calorie information when it is provided. In the present study males appeared to use the calorie information to choose a higher calorie meal. This finding could be an artifact of multiple comparisons, as a significant number of subgroup analyses were conducted. Conversely, this result could reflect a desire among males for an energy dense meal. To our knowledge, only one other study  has reported findings suggesting an unintended consequence of calorie labeling. Yamamoto et al. conducted a study in which adolescents were asked to order meals from three different restaurant menus that did not contain nutrition information, and then reorder their meals after being shown a version of the menus that included calorie and fat content information for menu items. Approximately 17% of meal orders were changed in response to the calorie and fat information. Among the meals that were modified, 20.4% were modified in a way that resulted in a higher calorie content meal.
In the present study the elimination of value size pricing was found to have little influence on food selection or consumption. This finding is somewhat surprising given that a number of studies have documented that price changes may influence food choices [32, 46–48]. The price shifts we evaluated tended to be smaller in magnitude compared to those evaluated in previous studies, which could explain why our results conflict with previous findings. It is also possible that the null results are due to the study design which provided only one exposure to the price modification. When queried regarding whether they had noticed the modified pricing structure, less than one-fifth responded affirmatively. Since most fast food restaurant chains utilize a value size price structure, it is possible that study participants generally assumed the larger sized items were the better value without considering the prices listed on the menu. In consideration of this potential methodological issue, future studies designed to evaluate value size pricing should ensure repeated exposure to price modification.
The present study has a number of strengths. The study measured actual food choices rather than behavioral intent. Consequently, social desirability bias in reporting is likely less of a concern and internal validity is probably better than studies that only measured behavioral intent. A randomized design was employed ensuring that potential confounding factors, such as age and sex were equally distributed across experimental conditions. Another strength of the present study is that participants were a community sample of adolescents and adults who ate regularly at fast food restaurants. Consequently, the external validity of results may be stronger than many previous studies.
Limitations of the present study include that participants were exposed to the experimental condition only once. As mentioned earlier, this is problematic as it is possible that repeated exposure to calorie information and standardized pricing may be required before behavior is impacted. Although participants were blinded to the true intent of the study, and the ordering and dining procedure was set-up to be as naturalistic as possible, subject reactivity remains a concern. Of particular concern is the possibility that the participation incentive undermined price sensitivity.
It is important to note that most of the study limitations just described could have been avoided if the study had been conducted in fast food restaurants where menu boards and prices could be manipulated for prolonged periods of time. Unfortunately we were not able to find any fast food restaurants willing to collaborate with us, and thus we were not able to implement a more rigorously designed study.
In conclusion, results from this study indicate that providing calorie information for food items on fast food restaurant menus may have little effect on the food choices made by adolescents and adults who regularly eat at these establishments. It is possible that skills for using point-of-purchase nutrition information must be built before the information provided may be effectively used. For example, Hawthorne at el. found that knowledge of the basic use of the nutrition facts label on packaged food products was low among a sample of adolescents . After a brief training on use of the label, understanding of the label was significantly improved. More likely though is the need to increase concern about nutrition when eating at fast food restaurants, as factors such as taste and convenience appear to be far more important consideration for most consumers.
Although the design of the present study is more methodologically rigorous than most previous research, it has significant shortcomings. Consequently additional research is warranted to more rigorously evaluate calorie labeling and value size pricing in the context of fast food restaurants. Collaborating with fast food restaurant establishments will be a critical but challenging need.
This research was supported by NIDDK grant DK067599
- Ogden C, Carroll M, Curlin L, McDowell M, Tabak C, Flegal K: Prevalence of overweight and obesity in the US 1999–2004. J Am Med Assoc. 2006, 295: 1549-1555. 10.1001/jama.295.13.1549.View ArticleGoogle Scholar
- Stewart H, Blisard N, Jolliffe D: Let's Eat Out: Americans Weigh Taste, Convenience, and Nutrition. 2006, Washington, DC: USDA ERSGoogle Scholar
- Lin B, Frazao E: Away-From-Home Foods Increasingly Important to Quality of American Diet. 1999, Washington, DC: United States Department of Agriculture Economic Research ServiceGoogle Scholar
- Fast yes, but how good? We rate popular foods from the major chains for taste and nutrition. Consumer Reports. 1997, 10-15.Google Scholar
- Hurley J, Corcoran L: Meals to go. Nutrition Action Healthletter. 1998, 25: 12.Google Scholar
- Lin B, Frazao E: Nutritional quality of foods at and away from home. FoodReview. 1997, 20: 33-40.Google Scholar
- Young L, Nestle M: The contribution of expanding portion sizes to the obesity epidemic. Am J Pub Health. 2002, 29: 246-249. 10.2105/AJPH.92.2.246.View ArticleGoogle Scholar
- Young L, Nestle M: Expanding portion sizes in the US marketplace: Implications for nutrition counseling. J Am Diet Assoc. 2003, 103: 231-234. 10.1053/jada.2003.50027.View ArticleGoogle Scholar
- United States Department of Health and Human Services: The Surgeon General's call to action to prevent and decrease overweight and obesity. 2001, Rockville, MD: U.S. Department of Health and Human Services, Public Health Service, Office of the Surgeon GeneralGoogle Scholar
- Nestle M, Jacobson M: Halting the obesity epidemic: A public health policy approach. Pub Hlth Rep. 2000, 115: 12-24. 10.1093/phr/115.1.12.View ArticleGoogle Scholar
- Rolls B: The supersizing of America. Nutrition Today. 2003, 38: 42-53. 10.1097/00017285-200303000-00004.View ArticleGoogle Scholar
- National Alliance for Nutrition and Activity: From Wallet to Waistline: The Hidden Costs of Super Sizing. 2002, Washington DC: The National Alliance for Nutrition and ActivityGoogle Scholar
- Keystone Center: The Keystone Forum on Away-From-Home Foods: Opportunities for Preventing Weight Gain and Obesity. 2006, Washington DC: The Keystone CenterGoogle Scholar
- Balfour D, Moody R, Wise A, Brown K: Food choice in response to computer-generated nutrition information provided about meal selection in workplace restaurants. J Human Nutr Dietetics. 1996, 9: 231-237. 10.1046/j.1365-277X.1996.00452.x.View ArticleGoogle Scholar
- Cinciripini P: Changing food selection in a public cafeteria: An applied behavior analysis. Behavior Modification. 1984, 8: 520-539. 10.1177/01454455840084004.View ArticleGoogle Scholar
- Sproul A, Canter D, Schmidt J: Does point-of-purchase nutrition labeling influence meal selections? A test in an army cafeteria. Military Medicine. 2003, 168: 556-560.Google Scholar
- Milich R, Aderson J, Mills M: Effects of visual presentation of caloric values on food buying by normal and obese persons. Percept Mot Skills. 1976, 42: 155-162.View ArticleGoogle Scholar
- Mayer J, Brown T, Heins J, Bishop D: A multi-component intervention for modifying food selections in a worksite cafeteria. J Nutr Educ. 1987, 19: 277-280.View ArticleGoogle Scholar
- Schmitz M, Fielding J: Point-of-choice nutrition labeling: Evaluation in a worksite cafeteria. J Nutr Educ. 1986, 18: S65-S68.View ArticleGoogle Scholar
- Davis-Chervin D, Rogers T, Clark M: Influencing food selection with point-of-choice nutrition information. J Nutr Educ Beh. 1985, 17: 18-22.View ArticleGoogle Scholar
- Dubbert P, Johnson W, Schlundt D, Montague N: The influence of caloric information on cafeteria food choices. J Applied Behavior Analysis. 1984, 17: 85-92. 10.1901/jaba.1984.17-85.View ArticleGoogle Scholar
- Albright C, Flora J, Fortmann S: Restaurant menu labeling: Impact of nutrition information on entree sales and patron attitudes. Health Educ Q. 1990, 17 (2): 157-167.View ArticleGoogle Scholar
- Colby J, Elder J, Peterson G: The effects of menu item description on food selection in a family style restaurant. Am J Prev Med. 1987, 3: 171-177.Google Scholar
- Yamamoto J, Yamamoto J, Yamamoto B, Yamamoto : Adolescent fast food and restaurant ordering behavior with and without calorie and fat content menu information. J Adol Health. 2005, 37: 397-402. 10.1016/j.jadohealth.2004.10.002.View ArticleGoogle Scholar
- Krukowski R, Harvey-Berino J, Kolodinsky J, Narsana R, DeSisto T: Consumers may not use or understand calorie labeling restaurants. J Am Diet Assoc. 2006, 106: 917-920. 10.1016/j.jada.2006.03.005.View ArticleGoogle Scholar
- Burton S, Creyer E, Kees J, Huggins K: Attacking the obesity epidemic: The potential health benefits of providing nutrition information in restaurants. Am J Pub Health. 2006, 96: 1669-1675. 10.2105/AJPH.2004.054973.View ArticleGoogle Scholar
- Horgen K, Brownell K: Comparison of price change and health message interventions in promoting healthy food choices. Health Psychology. 2002, 21: 505-512. 10.1037/0278-6126.96.36.1995.View ArticleGoogle Scholar
- Stubenitsky K, Aaron J, Catt S, Dela D: The influence of recipe modification and nutritional information on restaurant food acceptance and macronutrient intakes. Pub Health Nutr. 2000, 3: 201-209. 10.1017/S1368980000000239.View ArticleGoogle Scholar
- Kozup J, Creyer E, Burton S, Making Healthful food choices: The influence of health claims and nutrition information on consumers' evaluations of packaged food products and restaurant menu items. Journal of Marketing. 2003, 67: 19-34. 10.1509/jmkg.188.8.131.5208.View ArticleGoogle Scholar
- Mayer J, Heins J, Vogel J, Morrison D, Lankester J, Jacobs A: Promoting low-fat entree choices in a public cafeteria. J Applied Behavior Analysis. 1986, 19: 397-402. 10.1901/jaba.1986.19-397.View ArticleGoogle Scholar
- Bergen D, Yeh M: Effects of energy-content labels and motivational posters on sales of sugar-sweetened beverages: Stimulating sales of diet drinks among adults study. J Am Diet Assoc. 2006, 106: 1866-1869. 10.1016/j.jada.2006.08.002.View ArticleGoogle Scholar
- French S, Jeffery R, Story M, et al: Pricing and promotion effects on low-fat vending snack purchases: The CHIPS study. Am J Public Health. 2001, 91: 112-117.View ArticleGoogle Scholar
- Fiske A, Weber-Cullen K: Effects of promotional materials on vending sales of low-fat items in teacher's lounges. J Am Diet Assoc. 2004, 104: 90-93. 10.1016/j.jada.2003.10.011.View ArticleGoogle Scholar
- Hoerr S, Louden V: Can nutrition information increase sales of healthful vended snacks?. J Sch Health. 1993, 63: 386-390.View ArticleGoogle Scholar
- Larson-Brown L: Point-of-purchase information on vended foods. J Nutr Educ. 1978, 10: 116-118.View ArticleGoogle Scholar
- Wilbur C, Zifferblatt S, Pinsky J, Zifferblatt S: Healthy vending: A cooperative pilot research program to stimulate good health in the marketplace. Prev Med. 1981, 10: 85-93. 10.1016/0091-7435(81)90009-8.View ArticleGoogle Scholar
- Conklin M, Cranage D, Lambert C: College students' use of point of selection nutrition information. Top Clin Nutr. 2005, 20: 97-108.View ArticleGoogle Scholar
- McDonalds USA Nutrition Information. Accessed 23/12/08, [http://www.mcdonalds.com/usa/eat/nutrition_info.html]
- McCulloch C, Searle S: Generalized, Linear, and Mixed Models. 2001, New York: WileyGoogle Scholar
- McCullum C, Achterberg C: Food shopping and label use behavior among high school adolescents. Adolescence. 1997, 32: 181-197.Google Scholar
- Kristal A, Levy L, Patterson R, Li S, White E: Trends in food label use associated with new nutrition labeling regulations. Am J Public Health. 1998, 88: 1212-1215. 10.2105/AJPH.88.8.1212.View ArticleGoogle Scholar
- Bender M, Derby B: Prevalence of reading nutrition and ingredient information on food labels among adult Americans: 1982–1988. J Nutr Educ. 1992, 24: 292-297.View ArticleGoogle Scholar
- Neuhouser M, Kristal A, Patterson R: Use of food nutrition labels is associated with lower fat intake. J Am Diet Assoc. 1999, 99: 45-50. 10.1016/S0002-8223(99)00013-9.View ArticleGoogle Scholar
- Kreuter M, Brennen L: Do nutrition label readers eat healthier diets? Behavioral correlates of adults use of food labels. Am J Prev Med. 1997, 13: 277-283.Google Scholar
- Guthrie J, Fox J, Cleveland L, Welsh S: Who uses nutrition labeling, and what effects does label use have on diet quality?. J Nutr Educ. 1995, 27.Google Scholar
- Jeffery R, French S, Raether C, Baxter J: An environmental intervention to increase fruit and salad purchases in a cafeteria. Prev Med. 1994, 23: 788-792. 10.1006/pmed.1994.1135.View ArticleGoogle Scholar
- French S, Jeffery R, Story M, Hannan P, Snyder M: A pricing strategy to promote low fat snack choices through vending machines. Am J Public Health. 1997, 87: 849-851. 10.2105/AJPH.87.5.849.View ArticleGoogle Scholar
- French S, Story M, Jeffery R, et al: Pricing strategy to promote fruit and vegetable purchase in high school cafeterias. J Am Diet Assoc. 1997, 97: 1008-1010. 10.1016/S0002-8223(97)00242-3.View ArticleGoogle Scholar
- Hawthorne K, Moreland K, Griffin I, Abrams S: An educational program enhances food label understanding of young adolescents. J Am Diet Assoc. 2006, 106: 913-916. 10.1016/j.jada.2006.03.004.View ArticleGoogle Scholar
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