Journal List > Nutr Res Pract > v.12(3) > 1104533

Lee and Lee: Parents' meal choices for their children at fast food and family restaurants with different menu labeling presentations

Abstract

BACKGROUND/OBJECTIVES

This study examined the effect of nutrition labeling formats on parents' food choices for their children at different restaurant types.

SUBJECTS/METHODS

An online survey was conducted with 1,980 parents of children aged 3–12 years. Participants were randomly assigned to fast food or family restaurant scenarios, and one of four menu stimuli conditions: no labeling, low-calorie symbol (symbol), numeric value (numeric), and both low-calorie symbol and numeric value (symbol + numeric). Participants selected menu items for their children. Menu choices and total calories were compared by nutrition labeling formats in each type of the restaurant.

RESULTS

Low-calorie item selections were scored and a two-way analysis of variance (ANOVA) was conducted for an interaction effect between restaurant and labeling type. In the fast food restaurant group, parents presented with low-calorie symbols selected the lowest calorie items more often than those not presented with the format. Parents in the symbol + numeric condition selected significantly fewer calories (653 kcal) than those in the no labeling (677 kcal) or numeric conditions (674 kcal) (P = 0.006). In the family restaurant group, no significant difference were observed among different labeling conditions. A significant interaction between restaurant and labeling type on low-calorie selection score (F = 6.03, P < 0.01) suggests that the effect of nutrition labeling format interplays with restaurant type to jointly affect parents' food choices for their children.

CONCLUSIONS

The provision of easily interpretable nutritional information format at fast food restaurants may encourage healthier food choices of parents for their children; however, the effects were negligible at family restaurants.

INTRODUCTION

Childhood obesity has become a prominent public health concern worldwide and the increasing consumption of food away from home has been linked to rising childhood obesity rates [12345]. To reduce excessive calorie intake and encourage healthier food choices of children at restaurants, many national level initiatives have been proposed including mandatory nutritional information disclosure at restaurants. In South Korea, the Special Act on Safety Management of Children's Dietary Life was passed in 2008. It includes the provision of calorie and nutrient information on children's menus at restaurants. This act stipulates that any restaurant chain with 100 or more units nationally has a duty to disclose nutritional information [6].
Several studies were conducted on the effects of nutrition labeling in restaurants in South Korea; however, the studies were limited to consumers' attitudes, awareness, and satisfaction [789]. Many studies abroad have examined the effectiveness of disclosing nutritional information at restaurants. While some studies presented empirical evidence demonstrating positive effects of nutritional information on consumers' healthier food choices [10111213], there are other studies reporting no significant difference in calorie intakes [1415161718]. Some systematic reviews have also reported mixed findings about the effect of nutritional labeling at restaurants [192021]. These varied results imply there are potential factors that may interplay with nutritional information disclosure on affecting consumers food choices.
The type of restaurant is considered one of the factors affecting food choices with disclosed nutritional information. In general, consumers pursue more utilitarian values at limited service restaurants (e.g., fast food), which involves an economical and functional view of consumption. On the other hand, consumers pursue more hedonic values at table service restaurants (e.g., family restaurants), in which consumers value experiential benefits [22]. It is well known that utilitarian value-seeking consumers pay attention to detailed aspects of products and hedonic value-seeking consumers to abstract and experiential information [23]. Hence, we can assume that consumers visiting limited service restaurants are more likely to carefully consider information about menu items when selecting foods than consumers visiting table service restaurants are. However, it can also be argued that consumers visit fast food restaurants with low expectation on food quality, thus less attention will be paid to menu information.
Consumers perceive fast foods to be less healthful than foods served at upper-level restaurants. The perceived healthfulness of restaurants has been discussed as an accessible cue to predict consumers' food choices [242526]. Chandon and Wansink [25] examined the effect of the perceived healthfulness of fast food restaurants on consumers' calorie estimation and food selection. Accordingly, the effects of menu labeling format may differ in full-service restaurants versus fast food restaurants. It is well recognized that the nutritional information format has a significant impact on customers' buying behavior [10272829]. Liu et al. found that rank-ordered and colored-calorie menu format led to fewer caloric items ordered compared to the no calorie information or only calorie information group [27]. A traffic light information was also found to influence customers' fast food selections toward lower calorie items [29]. However, research on the interaction effect of restaurant type and nutritional information format on food selection is limited.
It is important to understand the role of restaurant type and nutritional information format on food selection, especially on parents. Parents influence their children's eating behaviors from birth and still influence their food selection by helping them choose foods or selecting foods directly for children to eat [3031]. Besides, menu labeling effects on parental decision-making differ depending on whether the parents are ordering for themselves or their children [11]. However, few studies have investigated the influence of different types of nutritional labeling on parents' meal choices for their children, including how parents response to different types of restaurants.
Based on the above arguments, we developed the following research questions; there will be differential effects of nutritional information formats on food choices of parents for their children at different types of restaurants. Therefore, the present study examined the effect of four different levels of nutritional information formats on parental food choices for their children in two types of restaurants; fast food and family restaurants.

SUBJECTS AND METHODS

Study design and subjects

Previous studies [2729] used a scenario-based experimental design to investigate the effects of different menu labeling. Thus, we employed a 2 (restaurant type: fast food vs. family restaurants) × 4 (labeling type) scenario-based experimental design. Labeling conditions were: (1) no labeling (No labeling); (2) low-calorie symbol (symbol); (3) numeric value (numeric); and (4) both low-calorie symbol and numeric value (symbol + numeric).
Participants were recruited from consumer panels of a research company in South Korea. They consisted of parents to children aged between 3–12 years, who dined with their children at fast food or family restaurants at least once a month in the past 3 months. An email with an embedded survey link directed participants who met the criteria to the experimental condition. Participants were evenly and randomly assigned to either the fast food or the family restaurant scenario, and to one of the four labeling conditions of each type of restaurant. Participants were asked to project themselves into a situation at a restaurant when they were ready to order a meal (one main dish, one side dish, and one beverage) for their children and to respond to a series of questions. A total of 2,237 were participated in the survey, of which the answers of 1,980 participants (993 for fast food restaurants and 987 for family restaurants) were analyzed after excluding incomplete and inconsistent questionnaires. The survey was conducted from March 31, 2014 to April 14, 2014. The study protocol was reviewed and approved by the Institutional Review Board of Myongji University (MJU-2014-03-001-01).

Stimuli (menu) development

We developed a menu comprising of five items for each menu category of main dish, side dish, and beverage, with 15 items in total. Participants could select one item in each menu category at a fixed price. To provide a more naturalistic setting for the experiment, the menu included items for children that are typically sold at fast food restaurants (e.g., Lotteria, McDonald, Burger King, Popeyes, and KFC) and family restaurants (e.g., Bennigan's, Outback Steakhouse, and TGI Fridays) in South Korea. Menus were designed by a professional menu designer and all menu items, except beverages, included brief descriptions.
Numeric values were presented for all items per portion: calories (kcal), sugar (g), protein (g), saturated fat (g), and sodium (mg), all of which are required by law to be presented on menus at restaurants with more than 100 units in South Korea [6]. The nutritional information was obtained from the websites of the fast-food and family restaurant chains. For the condition including low-calorie symbols, a symbol indicating “low calorie” was added besides the lowest calorie item within each menu category (main dishes, side dishes, and beverages).

Measures

The questionnaire included questions regarding the participants' general characteristics (gender, age, educational level, occupation type, and monthly household income). The total calorific load of selected items was calculated by adding together their calorie values. In addition, we devised a “low calorie selection score” to evaluate the effects of different calorie labeling in inducing consumers to choose the lowest calorie menus. The low calorie selection score was graded in a way that parents earned 1 point per one lowest calorie item, selected from each category. Because the menu stimulus had three categories, the possible score of low calorie selection ranged from 0 to 3. To test the assumption that parents will perceive fast foods to be less healthful than foods at family restaurants, this study measured perception of healthfulness of foods offered at the restaurant in stimuli (1 = strongly disagree to 7 = strongly agree).

Statistical analysis

All statistical analyses were conducted using SPSS 21.0 for Windows. Variables were compared between the groups using the χ2 test, independent t-test or ANOVA (analysis of variance) and post hoc test. For a direct comparison of restaurant type and labeling type, a two-way ANOVA was conducted for the low calorie selection score. The results were presented as frequency and percentage or average and standard deviation.

RESULTS

Participants' characteristics and perception of healthfulness

Participants' general characteristics are presented in Table 1. The gender composition of the participants was 49.8% male and 50.2% female. The average age of participants was 38.8 years. No significant differences were found in gender, age, educational level, occupation type, and monthly household income by the restaurant type and the labeling type. Participants' perception of healthfulness of foods at fast food restaurants was lower (M = 3.77) than foods at family restaurants (M = 4.52) (P < 0.001).

Menu choices according to labeling type

Table 2 and Table 3 show participants' menu choices for their children. In fast food restaurants, the menu choice of main dishes was significantly different among different labeling types (P = 0.018). The choice of the lowest calorie menu (chicken tortilla wrap in the current study) showed irregularities. In conditions with low-calorie symbols, the percentage of choice was higher (13.1% with low-calorie symbol and 11.1% with low-calorie symbol and numeric value). In conditions without low-calorie symbol, the percentage of choice remained approximately 5%. Similar tendencies were observed in side dishes and beverages, yet there were no significant differences. For example, the fruit cup (the lowest calorie menu in the side dishes category) was chosen more than twice in the condition with low-calorie symbol and numeric values (17.9%) than in the condition without any information (7.8%).
In the family restaurant, the menu choice of side dishes was significantly different among different labeling types (P = 0.018). The choice of the lowest calorie menu (yogurt salad in the current study) in the low-calorie symbol condition (27.9%) was relatively higher than in other conditions. However, no significant differences were observed in main dishes and beverages.
When we compared the difference in choices of the lowest calorie item in each menu category according to labeling type and restaurant type, the differences became apparent. In the fast food restaurant, the frequencies of the lowest calorie menu selection varied significantly in all menu categories (P = 0.001 in main dishes, P = 0.004 in side dishes, and P = 0.003 in beverages) whereas no significant differences were observed among different labeling conditions in family restaurant (Table 4).
The means of low calorie selection scores are plotted in Fig. 1. Although the means of low calorie selection scores (indicated as M) of all the groups were less than 1.0 point, the result of two-way ANOVA showed a significant interaction effect (F = 6.03, P < 0.001) between restaurant type and labeling type on low calorie selection scores. Parents who saw low calorie symbols on fast food restaurant menus were more likely to choose the lowest calorie items (Mnolabeling = 0.16, Msymbol = 0.34, Mnumeric = 0.20, Msymbol+numeric = 0.39). The highest low calorie selection score was found with parents in the condition showing both symbol and numeric information. However, parents who saw family restaurant menus did not have different food selections by labeling type (Mnolabeling = 0.78, Msymbol = 0.79, Mnumeric = 0.71, Msymbol+numeric = 0.68). The lowest low calorie selection score was found in the condition that showed both symbolic and numerical information, which was contrary to the results shown in fast food restaurants.

Calorie selected

Calories selected according to labeling type are shown in Table 5. The total calories in the fast food restaurant significantly varied according to labeling type (P = 0.006). When numeric values as well as low-calorie symbols were offered, participants selected a meal with a lower caloric content (653.1 kcal) than when they had not been given any information (677.1 kcal) or when just numeric values were provided (673.5 kcal). Among menu categories, calories selected in beverages varied according to labeling type (P = 0.006). Participants given both numeric values and low-calorie symbols choose significantly lower calorie (89.1 kcal) than those who had been given no information (97.1 kcal) or only provided with numeric value (95.8 kcal). In side dishes, the participants with both low-calorie symbol and numeric values tended to select lower calorie options (168.6 kcal) than those who without any labels (183.4 kcal) (P = 0.065). However, we did not find any differences in calorific content in main dish choices. Furthermore, there were no significant differences in calories selected in the family restaurant.

DISCUSSION

In an experimental study using menus with real food items as stimuli, the current research explored the effects of restaurant type and labeling types on parents' behavioral changes in food choices. Our results showed that in the family restaurant setting, parents did not show considerable differences in their menu choices, particularly in the lowest calorie menu selection. In contrast, at the fast food restaurant, parents who were provided with nutritional information, particularly a low-calorie symbol, tended to choose menu items with lower calorie than those who had not been provided with such information.
Many researchers have tried to explain variances in consumers' behavior towards different types of restaurant. Concept-driven and data-driven processing [3233] is one of the theories suggested. Using this theory, Wei and Miao [26] demonstrated that the perceived healthfulness of restaurants influences the effect of disclosed calorie information on food choices in the quick service restaurant sector. In a perceived healthful restaurant, consumers who have been provided with calorie information will make food choices with smaller calorie count than those without calorie information. Conversely, in a perceived unhealthful restaurant, consumers showed the opposite behavior. There have been several studies detailing similar results [2534], however, our results showed contrast tendencies with the results of these.
Burton et al. [2435] reported consumers significantly underestimated levels of calories, fat and saturated fat in less-healthful restaurant items. Similarly, Elbel [36] and Block et al. [37] demonstrated that consumers often also underestimate calories in foods purchased from fast food restaurants. Burton et al. [2435] found that for less-healthful menu items whose calorie counts exceeded consumers expectations, the provision of nutritional information had a significant influence on their purchase intention and decision making behaviors. Burton et al. [2435] also revealed that the percentage of consumers choosing the less healthful menu items decreased in quick service restaurant when calorie information had been disclosed. They explained that the discrepancy between expected and objective nutritional levels should result in an interaction between the provision of nutritional information and the healthfulness of the menu item. Negative disconfirmation for less-healthful items is therefore expected to lead to increased choice preference for more-healthful items.
Consequently, the perceived healthfulness of restaurants would serve as a cue to influence the effect of the nutritional information disclosure on parents' behavioral changes in food choices. The fast food industry is frequently targeted as one of the key causes of the national obesity problem for selling higher-calorie and less-nutritive meals [38]. There are similar situations in South Korea and consequently caregivers usually have negative perceptions of fast-food restaurants [3940]. In the current study, the perceived healthfulness of family restaurants was measured as significantly higher than that of fast food restaurants. Accordingly, the clear effectiveness of menu labeling observed in the fast food restaurants was not identified as relevant in the family restaurants, which are perceived to be relatively healthful by consumers. A previous study also reported there to be no significant changes in the total calories and fat ordered in 4 different labeling conditions at a full service family restaurant [28]. Another explanation could be that parents at fast food restaurants seek more utilitarian value compared to parents at family restaurant enjoying hedonic value, as suggested in introduction [22]. We can assume that consumers visiting fast food restaurants are more likely to consider carefully information about menu items when selecting foods than consumers at family restaurants [23]. Future study can investigate the underlying mechanisms on such different results between fast food and family restaurant customers.
The results of the current study suggest that presenting numerical information with low-calorie symbol formats may increase labeling efficacy in fast-food restaurants. Research examining the effectiveness of labels on the front of packaged foods found that a “traffic light” labeling system, which uses red, green, and yellow traffic light symbols on packages to indicate fat, saturated fat, sugar, and salt levels, can help consumers identify healthier food choices [41]. There are several studies revealing that the addition of symbols to the calorie information could further reduce calories ordered [27294243]. Among limited studies concerning the effect of different nutrition label formats in South Korea, Sah and Yeo [44] revealed that consumers show more positive evaluation for alternative formats (nutrition certification mark, traffic lights) than existing formats (nutrition facts, nutrition claims) of nutrition labeling. In addition, consumers made more accurate decisions under alternative formats than existing formats. This therefore suggests that using symbols on menus may also direct parents to more positive choices for their children especially in fast food restaurants.
There are several limitations to the current research that warrant further consideration and provide suggestions for future studies. Firstly, a scenario-based experimental design using an online survey that measured hypothetical rather than actual choices was used in the present study. Future field research to examine how the disclosure of menu labels may influence consumers actual food choices at different types of restaurants should be underaken. Secondly, the results may not be generalizable to the population at large as since the current study focused solely on Koreans. Future studies, perhaps employing a qualitative approach, should expand this research further afield. Finally, this study focused primarily on low calorie selection, which could lead to misinterpretation of parents' food selections. In general, it is assumed that a lower calorie selection involves healthier food choices. However, in the beverage case of our scenario, fruit juice and milk are more nutritious in terms of their protein, vitamin, and mineral content, but higher calorie than zero calorie soda. Thus, the result of this study should not be interpreted in a way to evaluate parents' healthy food selections. Despite these limitations, our findings have some important implications for policymakers, consumers, and restaurant managers by providing a better understanding of caregivers' reactions to different nutritional information formats in different types of restaurants.
The results of this study suggest the effect of nutrition labeling type interplays with the type of restaurant to jointly affect caregivers' food choices for their children. These findings suggest that the provision of easily interpretable nutrition information in fast food restaurants may provide significant public health benefits by encouraging healthier parental food choices for their children. However, it is important to note the effects of different types of nutritional information disclosure were negligible in family restaurants. From these results, we concluded that disclosed nutritional information alone may not necessarily lead to healthful choices and the type of restaurant is a significant factor that interplays with nutritional information disclosure. This study suggests that the effects of menu labeling on food choices should be examined with a host of intervening factors. Future studies that extend the current research will offer a better understanding of this issue and provide guidelines for effective public health policies.

Figures and Tables

Fig. 1

Low calorie selection scores

nrp-12-243-g001
Table 1

Demographic characteristics of subjects

nrp-12-243-i001

1)P-value by χ2-test or analysis of variance

Table 2

Menu choices in fast food restaurant according to labeling types (n = 993)

nrp-12-243-i002

1)P-value by χ2-test

Menu items with the lowest calories in each category are in bold. These items have the low-calorie symbol in the stimuli of ‘symbol’ and ‘symbol + numeric.’

Table 3

Menu choices in family restaurant according to labeling types (n = 987)

nrp-12-243-i003

1)P-value by χ2-test

Menu items with the lowest calories in each category are in bold. These items have the low-calorie symbol in the stimuli of ‘symbol’ and ‘symbol + numeric.’

Table 4

Choices of the lowest calorie menu in each menu category according to labeling types

nrp-12-243-i004

1)P-value by χ2-test

Table 5

Calorie selected according to labeling types

nrp-12-243-i005

1)P-value by analysis of variance

2)Values in the same row with different superscripted letters are significantly different at P < 0.05 using analysis of variance and Duncan's multiple range test.

Notes

CONFLICT OF INTEREST The authors declare no potential conflicts of interests.

References

1. Powell LM, Nguyen BT. Fast-food and full-service restaurant consumption among children and adolescents: effect on energy, beverage, and nutrient intake. JAMA Pediatr. 2013; 167:14–20.
crossref
2. Mancino L, Todd JE, Guthrie J, Lin BH. Food away from home and childhood obesity. Curr Obes Rep. 2014; 3:459–469.
crossref
3. Altman M, Holland JC, Lundeen D, Kolko RP, Stein RI, Saelens BE, Welch R, Perri MG, Schechtman KB, Epstein LH, Wilfley DE. Reduction in food away from home is associated with improved child relative weight and body composition outcomes and this relation is mediated by changes in diet quality. J Acad Nutr Diet. 2015; 115:1400–1407.
crossref
4. Seguin RA, Aggarwal A, Vermeylen F, Drewnowski A. Consumption frequency of foods away from home linked with higher body mass index and lower fruit and vegetable intake among adults: a cross-sectional study. J Environ Public Health. 2016; 2016:3074241.
crossref
5. Bhutani S, Schoeller DA, Walsh MC, McWilliams C. Frequency of eating out at both fast-food and sit-down restaurants was associated with high body mass index in non-large metropolitan communities in midwest. Am J Health Promot. 2018; 32:75–83.
crossref
6. Ministry of Food and Drug Safety (KR). The special act on safety management of children's dietary life of food and drug safety [Internet]. Cheongju: Ministry of Food and Drug Safety;2014. cited 2017 November 27. Available from: http://www.law.go.kr/lsInfoP.do?lsiSeq=154149&efYd=20140521#AJ.
7. Yang JH, Heo YR. Perception of university students on nutrition information according to food & nutrition labeling systems in family restaurant. J Korean Soc Food Sci Nutr. 2013; 42:2068–2075.
crossref
8. Ham S, Jeong JY, Kim YS. Relationships among customer attitudes, behavioral intention and health-consciousness toward menu labeling in restaurants. J Tourism Leis Res. 2016; 28:365–384.
9. Lee JH. Structural relationship among consumer attitude, usage motive, health-consciousness, satisfaction, and revisit intent pursuant to foodservice nutrition information labeling system. Culin Sci Hosp Res. 2017; 23:129–139.
crossref
10. Roberto CA, Larsen PD, Agnew H, Baik J, Brownell KD. Evaluating the impact of menu labeling on food choices and intake. Am J Public Health. 2010; 100:312–318.
crossref
11. Tandon PS, Wright J, Zhou C, Rogers CB, Christakis DA. Nutrition menu labeling may lead to lower-calorie restaurant meal choices for children. Pediatrics. 2010; 125:244–248.
crossref
12. Wisdom J, Downs JS, Loewenstein G. Promoting healthy choices: information versus convenience. Am Econ J Appl Econ. 2010; 2:164–178.
crossref
13. Auchincloss AH, Mallya GG, Leonberg BL, Ricchezza A, Glanz K, Schwarz DF. Customer responses to mandatory menu labeling at full-service restaurants. Am J Prev Med. 2013; 45:710–719.
crossref
14. Elbel B, Kersh R, Brescoll VL, Dixon LB. Calorie labeling and food choices: a first look at the effects on low-income people in New York City. Health Aff (Millwood). 2009; 28:w1110–w1121.
crossref
15. Dumanovsky T, Huang CY, Nonas CA, Matte TD, Bassett MT, Silver LD. Changes in energy content of lunchtime purchases from fast food restaurants after introduction of calorie labelling: cross sectional customer surveys. BMJ. 2011; 343:d4464.
crossref
16. Tandon PS, Zhou C, Chan NL, Lozano P, Couch SC, Glanz K, Krieger J, Saelens BE. The impact of menu labeling on fast-food purchases for children and parents. Am J Prev Med. 2011; 41:434–438.
crossref
17. Elbel B, Mijanovich T, Dixon LB, Abrams C, Weitzman B, Kersh R, Auchincloss AH, Ogedegbe G. Calorie labeling, fast food purchasing and restaurant visits. Obesity (Silver Spring). 2013; 21:2172–2179.
crossref
18. Downs JS, Wisdom J, Wansink B, Loewenstein G. Supplementing menu labeling with calorie recommendations to test for facilitation effects. Am J Public Health. 2013; 103:1604–1609.
crossref
19. Kiszko KM, Martinez OD, Abrams C, Elbel B. The influence of calorie labeling on food orders and consumption: a review of the literature. J Community Health. 2014; 39:1248–1269.
crossref
20. Long MW, Tobias DK, Cradock AL, Batchelder H, Gortmaker SL. Systematic review and meta-analysis of the impact of restaurant menu calorie labeling. Am J Public Health. 2015; 105:e11–e24.
crossref
21. VanEpps EM, Roberto CA, Park S, Economos CD, Bleich SN. Restaurant menu labeling policy: Review of evidence and controversies. Curr Obes Rep. 2016; 5:72–80.
crossref
22. Arora R, Singer J. Cognitive and affective service marketing strategies for fine dining restaurant managers. J Small Bus Strategy. 2006; 17:51–61.
23. Maclnnis DJ, Jaworski BJ. Information processing from advertisements: toward an integrative framework. J Mark. 1989; 53:1–23.
crossref
24. Burton S, Creyer EH, Kees J, Huggins K. Attacking the obesity epidemic: the potential health benefits of providing nutrition information in restaurants. Am J Public Health. 2006; 96:1669–1675.
crossref
25. Chandon P, Wansink B. The biasing health halos of fast-food restaurant health claims: lower calorie estimates and higher side-dish consumption intentions. J Consum Res. 2007; 34:301–314.
crossref
26. Wei W, Miao L. Effects of calorie information disclosure on consumers' food choices at restaurants. Int J Hosp Manag. 2013; 33:106–117.
crossref
27. Liu PJ, Roberto CA, Liu LJ, Brownell KD. A test of different menu labeling presentations. Appetite. 2012; 59:770–777.
crossref
28. Holmes AS, Serrano EL, Machin JE, Duetsch T, Davis GC. Effect of different children's menu labeling designs on family purchases. Appetite. 2013; 62:198–202.
crossref
29. Morley B, Scully M, Martin J, Niven P, Dixon H, Wakefield M. What types of nutrition menu labelling lead consumers to select less energy-dense fast food? An experimental study. Appetite. 2013; 67:8–15.
crossref
30. Ventura AK, Birch LL. Does parenting affect children's eating and weight status? Int J Behav Nutr Phys Act. 2008; 5:15.
crossref
31. Castro IA, Williams CB, Madanat H, Pickrel J, Jun HJ, Zive M, Gahagan S, Ayala GX. Food ordering for children in restaurants: multiple sources of influence on decision making. Public Health Nutr. 2016; 19:2404–2409.
crossref
32. Bobrow DG, Norman DA. Some principles of memory schemata. In : Bobrow DG, Collins AM, editors. Representation and Understanding: Studies in Cognitive Science. New York (NY): Academic Press;1975. p. 131–149.
33. Hoch SJ, Ha YW. Consumer learning: advertising and the ambiguity of product experience. J Consum Res. 1986; 13:221–233.
crossref
34. Seenivasan S, Thomas D. Negative consequences of nutrition information disclosure on consumption behavior in quick-casual restaurants. J Econ Psychol. 2016; 55:51–60.
crossref
35. Burton S, Howlett E, Tangari AH. Food for thought: how will the nutrition labeling of quick service restaurant menu items influence consumers' product evaluations, purchase intentions, and choices? J Retail. 2009; 85:258–273.
crossref
36. Elbel B. Consumer estimation of recommended and actual calories at fast food restaurants. Obesity (Silver Spring). 2011; 19:1971–1978.
crossref
37. Block JP, Condon SK, Kleinman K, Mullen J, Linakis S, Rifas-Shiman S, Gillman MW. Consumers' estimation of calorie content at fast food restaurants: cross sectional observational study. BMJ. 2013; 346:f2907.
crossref
38. Rosenheck R. Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk. Obes Rev. 2008; 9:535–547.
crossref
39. Choe JS, Chun HK, Hwang DY, Nam HJ. Consumer perceptions of food-related hazards and correlates of degree of concerns about food. J Korean Soc Food Sci Nutr. 2005; 34:66–74.
crossref
40. Lee JY, Kim KD. A study on the perception of and concern for food safety among urban housewives. Korean J Food Preserv. 2009; 16:999–1007.
41. Hawley KL, Roberto CA, Bragg MA, Liu PJ, Schwartz MB, Brownell KD. The science on front-of-package food labels. Public Health Nutr. 2013; 16:430–439.
crossref
42. Ellison B, Lusk JL, Davis D. Looking at the label and beyond: the effects of calorie labels, health consciousness, and demographics on caloric intake in restaurants. Int J Behav Nutr Phys Act. 2013; 10:21.
crossref
43. Viera AJ, Antonelli R. Potential effect of physical activity calorie equivalent labeling on parent fast food decisions. Pediatrics. 2015; 135:e376–e382.
crossref
44. Sah JY, Yeo JS. Efficacy and accuracy of consumer responses for four different nutrition label formats. Consum Policy Educ Rev. 2014; 10:217–245.
crossref
TOOLS
ORCID iDs

Kiwon Lee
https://orcid.org/0000-0002-2157-1051

Youngmi Lee
https://orcid.org/0000-0001-9965-0748

Similar articles