Why the New Nutritional Label Is More Confusing Peer Review Articles
Obes Sci Pract. 2019 Dec; v(six): 581–591.
A review of nutrition labeling and food choice in the U.s.
Alice Dumoitier
i Carlsberg Groupe, Lyon France,
Vincent Abbo
2 Michel & Augustin, Paris France,
Zachary T. Neuhofer
iii Agricultural Economic science Section, Purdue University, Westward Lafayette Indiana,
Brandon R. McFadden
iv Department of Applied Economics and Statistics, Academy of Delaware, Newark Delaware,
Received 2019 Jul sixteen; Revised 2019 Sep 9; Accepted 2019 Sep 19.
Summary
A proliferation of candy nutrient and labeling claims motivated the Nutrition Labeling and Education Act of 1990, which mandated the Nutrition Facts Label. Providing nutrition information is oftentimes put forth equally a way to change food pick; even so, despite efforts to provide dietary information using nutrition labeling, more than a tertiary of the Usa has obesity and portions of the population proceed to under eat vital nutrients. At that place has been progress across the Nutrition Facts Characterization in recent years with front‐of‐package labeling and menu labeling, which is crucial given changes in consumption trends for food‐away‐from‐abode. Additionally, changes were recently fabricated to the Diet Facts Label due to lack of awareness, understanding, and ability to effectively improve diet quality. This paper explores the literature to rail the evolution of knowledge almost attention to diet information and how nutrition information affects dietary choices.
Keywords: nutrition, obesity, weight
ane. INTRODUCTION
Despite rates of nutrient insecurity decreasing from a recent high of approximately 15% in 2008 to approximately 11% in 2017,1 more than triple the rate (35%) of persons in the U.s. have obesity.2 The rate of persons with obesity indicates that many Americans are consuming enough calories to meet, or exceed, energy requirements. However, consuming an energy‐dense nutrition is not tantamount to consuming a food‐dense diet.
The 2015 Dietary Guidelines Informational Commission report determined "nutrients of public health concern" in the US and ended the population underconsumes calcium, fiber, iron, potassium, and vitamin D while overconsuming saturated fatty and sodium.3 The costs associated with malnutrition are not trivial or completely internalized by the malnourished. For example, the medical costs associated with persons with obesity every year is estimated to be $209.7 billion.4 Improved diet can subtract wellness intendance costs, for case, reducing sodium intake to the recommended daily value would relieve an estimated $xviii billion wellness care dollars.5
While making healthy dietary decisions when consuming food‐at‐domicile (FAH) continues to exist a challenge in the American diet, increased consumption of food‐away‐from‐home (FAFH) is the more than contemporary challenge. In 1980, expenditures on FAFH accounted 39% of all food dollars. Currently, as shown in Figure1, approximately one-half of food expenditures are devoted to FAFH.6 While an increase in food expenditure away from home does not necessarily lead to a decrease in healthy dietary decisions, information technology is likely correlated with an increase in calorie consumption due to the larger portion sizes at restaurants.7 Consumption of FAFH, specially fast nutrient, is positively associated with increases in weight gain8, 9, 10, 11 and may lead to lower amounts of vegetable consumption, which contributes to poor diet quality.7 However, FAFH, particularly restaurant nutrient, is not ever positively associated with weight gain.8, 12 Contempo research concluded that consumption of fast food and restaurant food is essentially equivalent in some nutritional quantities (ie, total calories, total fat, and saturated fat); and, in other nutritional quantities, restaurant food outperformed fast food (ie, lower intake of sugar and higher intake of certain vitamins and minerals); and, in other quantities, fast food outperformed eating house nutrient (ie, lower intake of cholesterol and sodium).13, xiv, 15
Food‐at‐home and food‐away‐from‐home expenditures in the United states of america 1960‐2014
The objective of this paper is to provide a narrative review of the history of diet labeling and effects of the respective nutrition data on food choice. Previous enquiry has reviewed the literature for nutrition labels on packaged food,16, 17, 18 front‐of‐package (FOP) nutrition labeling,19, xx and nutrition labeling on menus.21, 22, 23 The present review adds to this literature by examining enquiry for nutrition labels for both FAH and FAFH. Additionally, this review adds to the literature by discussing the changes to the nutrition facts label (NFL) and recent findings from eye tracking studies.
2. BACKGROUND ON FAH NUTRITION INFORMATION
two.1. Nutrition facts characterization
In the late 1960s, the proliferation of processed nutrient motivated changes to nutrition labeling, which, at the time, was voluntary.24 Some other contribution to the increased desire for diet information was the improved understanding of the relationship between nutrition and obesity. The increased understanding of the link between obesity and disease (eg, centre disease and cancer) and the difficulty of assessing the healthfulness of food items spurred the demand for legislative efforts on diet labels (processed and manufactured food volition be referred to equally packaged foods henceforth).25, 26 The NFL was established by the Nutrition Labeling and Education Act of 1990 (NLEA) and designed by the Food and Drug Assistants (FDA) to communicate the food profile of packaged foods and, ideally, assist consumers in making salubrious dietary decisions when consuming FAH.27 Despite mandatory policies for packaged foods, nutrition labeling continues to be "voluntary" for raw food. The nutrition information for raw nutrient is to be displayed by labels affixed to the food or to external materials in close proximity to the nutrient items, such as shelf labels, signs, posters, brochures, notebooks, or leaflets.28
The previous NFL, which has been present on about food products since 1994, requires information be provided for serving size, servings per container, calories per serving, calories coming from fat, amounts of macronutrients (ie, carbohydrates, fat, and protein), cholesterol, and sodium. Additionally, the previous NFL uses a base 2,000‐calorie diet to provide the percentage of recommended daily value per serving for total fat, saturated fat, cholesterol, sodium, total carbohydrates, dietary cobweb, and micronutrients (ie, calcium, fe, vitamin A, and vitamin C).29 A delineation of the previous NFL is shown in FigureiiA.
Current Nutrition Facts panel versus updated Nutrition Facts Labels. Major changes to the Diet Facts Characterization include increased font size and bolding of "Calories," and "Servings Size." Serving sizes accept also been increased to reflect more realistic portion sizes. Additionally, "Added Sugars" is now teased out of "Full Sugars" and, at present, at that place is a recommended daily intake for added sugar. "Calories from Fat" has been removed to indicate that not all fat should be avoided
The process to begin the revisions to the NFL began in 2005 and 2007 at the Avant-garde Notices of Proposed Rulemaking.xxx Early revisions considered were removing "calories from fatty," recalculation of the "% Daily Values," recommended intake values, and updating the "serving sizes" on packages.30 Prior to the revisions to the characterization, the only changes fabricated to the NFL was the addition of "trans‐fat" content in 2006 due to testify of trans‐fat intake increasing agin effects in cardio‐metabolic health.31
In early 2014, the FDA suggested revisions of the previous NFL to ensure that consumers take access to nutrition information that reflect new scientific information almost the linkages between diet and chronic diseases. A start draft of the updated NFL (Figure2B) was proposed and public comments were elicited for the proposed changes.32 Some proposed changes were minor and simply made current information more pronounced to better highlight this information. To increase consumers' attention to important information, the proposed NFL increased the prominence of "calories," "servings per container," and the numerical values of "calories" and "servings per container." In some other effort to make of import information more accessible, the percent daily value column was relocated from the right side of the characterization to the left side. Other changes suggested by the proposed NFL were more significant, for instance, "calories from fat" was removed in an attempt to communicate that the type of fat consumed affects risks of chronic diseases relative to overall total fatty intake. The proposed characterization also distinguished betwixt natural sugar and added carbohydrate by requiring the display of "added sugars." Due to gimmicky data most micronutrient deficiencies and the association of wellness‐related weather, the requirements for the micronutrients displayed and sure daily recommend values were updated. Vitamin D and potassium, micronutrients that are underconsumed, replaced vitamins A and C on the new label. Finally, the proposed NFL suggested updating serving sizes to amounts that are more likely to be consumed. This includes the addition of some other column that communicated all the diet data for the entire package if a food could reasonably be consumed on 1 occasion.32
In belatedly May 2016, the FDA announced the finalized revisions to the NFL (FigureiiC).33 Ultimately, the changes fabricated to the NFL were based on contemporary nutrition research, bodily dietary advices from nutritional proficient groups, and public opinion on the previous proposed changes. Elements from the 2014 proposed changes that were maintained in the finalized revision to the NFL included increased prominence of "calories," and "servings per container," and the numerical values of "calories" and "servings per container." The change to serving sizes based on amounts of food and beverages that are actually consumed was maintained as well. The master differences betwixt the 2014 proposed changes and the finalized updates to the NFL included the "serving size" line is now bolded, whereas "servings per container" is not. The percent daily value column remained on the right side of the label because research demonstrated the negative furnishings of moving the percent daily values to the left side.34 While the essence of "added sugars" was maintained in the final revision, the pregnant was communicated more precisely and percent daily value was added. Laquatra et al35 concluded that the addition of "added sugars" dislocated the consumers and, thus, recommended adding more clarification. Therefore, the updated NFL displays "total sugars" with the addition of "includes (x) g added sugars." Nutrient manufacturers had until late July 2018 to comply with the final requirements and provide the updated NFL.35
ii.2. FOP label
In late 2009, Dr. Margaret A. Hamburg, the then commissioner of FDA, wrote an open up alphabetic character to the food industry highlighting the importance of providing nutrition data that consumers could rely on.36 She also expressed concerns about unauthorized health and nutrient content claims in add-on to the unauthorized employ of terms such as "healthy."36 The letter also discussed making nutrition labeling a priority for the FDA, which was also supported past the and so First Lady Michelle Obama Let'southward Move! initiative. Both the FDA and the first lady asked the industry to develop an FOP labeling organization that would assistance consumers in making more informed decisions.36
In response, the Grocery Manufacturers Association and the Nutrient Marketing Plant adult the voluntary front‐of‐pack nutrition labeling organization Facts Up Front (formerly called Diet Keys).37 Facts Upwards Front summarizes important nutrition information in an easy‐to‐utilize characterization on the forepart of food and beverages packages. As shown in Effigy3, the four basic icons are for calories, saturated fat, sodium, and sugars, which represent the central daily nutrients. As an option, labels tin can as well include "nutrients to encourage" (ie, potassium, fiber, protein, vitamin A, vitamin C, vitamin D, calcium, and iron) and some nutrients were allowed to exist placed on FOP if the production contained more than 10 percent of daily value per serving.38 Facts Up Forepart is not the only FOP nutrition labeling system. There are more than a dozen FOP labeling systems that have been developed and tested in various countries (Figure4). For example, Sweden created the Keyhole programme, Britain used the traffic light system based on a nutrient‐profiling approach designed by Oxford University, The Netherlands used the Choices programme, and Australia created a National Heart Foundation label Tick for heart‐healthy approved foods.39
Facts Up Front front‐of‐pack nutrition labeling arrangement
Examples of front‐of‐package labels worldwide
Bix et alxl demonstrated the impact of FOP labeling on the human activity of ownership and developed a arrangement to classify FOP labeling, ie, directive, nondirective, and semidirective. These categories correspond to the degree in which they provide guidance about the overall healthfulness of the product. Nondirective labels, which refer to the previous NFL and the Nutrition Keys system, provide a listing of nutrients that let the consumer to correctly interpret the nutritional value of the food item. When nondirective labels are overlaid with symbols or other qualitative assessments (eg, colour), these labels are described as semidirective. The color‐coded arrangement provides an interpretation of the healthfulness of each component in reference to predetermined reference amounts. Finally, simple icons, similar the Swedish Keyhole or the Great for you used by Walmart, are examples of directive labels that affirm food is nutritious.40
3. Event OF FAH Diet Data ON Behavior AND CHOICE
3.1. Previous NFL
Since the implementation of the 1990 Diet Labeling and Education Act, numerous studies have examined the furnishings of the previous NFL on consumer beliefs. Many studies identified the effects of sociodemographic determinants on nutrition label use and have highlighted the necessity of nutrition education to fight obesity and other diet‐related wellness problems, which are correlated with individuals who use diet labels. These studies were conducted to examine factors that lead to NFL usage, and which factors are insignificant toward NFL usage. The earliest studies from the 1990s focused on age. In several studies, age did not have a significant effect on nutrition characterization use, as no specific historic period range was more likely to regularly use nutrition labels.41, 42, 43, 44, 45, 46 Others take demonstrated that age has a positive effect on label apply, as younger consumers are more likely to understand the labels and perform characterization‐related tasks easier.47, 48, 49 Many studies have determined that women are more probable to apply diet labels than men.41, 45, 46, 47, 49, 50 Finally, education and nutrition noesis are associated with label apply and agreement. Consumers, who have higher levels of education and nutrition cognition, are typically able to embrace characterization information and compare foods using labels easier than others.41, 45, 47, 50, 51, 52, 53, 54, 55
Some inquiry has focused solely on the behavior of college students. The rational being is that some students adapt dietary habits in college, which remain throughout adulthood. However, it should be noted that convenience samples, similar college students, may introduce bias that tin be resolved with the inclusion of young adults non in college. Todd and Variyam52 reported that at that place has been a decline in consumer use of nutrition labels when making food purchases over the terminal decade, especially among young adults under 30. Even when college students agreed that the previous NFL was useful47 and easy to read,41 most of them do not utilise the label and doubt the accuracy and truthfulness of food labels. Nonetheless, some research concluded that the NFL is useful when comparing two products41, 48 or when purchasing a food item for the kickoff time.41, 47
Consumer use has decreased for most of the NFL components, such as calories, fats, cholesterol, and sodium. Despite these decreases, the use of fiber information has increased, whereas the use of sugars remained constant. Possible reasons behind the refuse in consumer apply are the difficulty of calculating the correct amount of food intake, the increase in consumption of FAFH, the increment of the availability of nutrition information for FAH and FAFH online, and the fact that consumers are paying more than attention to other information, such as country of origin, organic certification, or welfare issues.52
Many studies have critiqued the effectiveness of the NFL. In full general, studies accept demonstrated that consumers have a limited focus on the pervious NFL and do non examine every component of the label in item.56, 57 Goldberg and Probart57 determined that the information located at the summit or bottom of the label received more visual attention than the information located nearly the center of the label. They ended that consumers who do not use nutrition labels often were more than likely to view the information on the top of the label, and high frequency users focused on the information located most the eye of the label, especially nutrient data.57 In a more than contemporary study, Graham and Jeffery also determined that consumers focus on the elevation of the NFL, however, significantly less focus on the bottom lines of the characterization.56 Several studies take concluded that consumers are more interested in specific nutrition information, such equally total fat and calories, and relatively less interested in minerals, trans fat, sugar, and dietary fibers.41, 47, 56 Finally, some studies revealed that consumers do not empathise some specific vocabulary present on the label. Dallas et al58 explained that consumers generally misinterpreted the serving size data and believed that it defines the quantity of food that they can or should consume, whereas, in actuality, it refers to how much typical consumers eat, fifty-fifty if information technology is non the healthiest. Similarly, at that place are misinterpretations of specific terms such as "serving size," "good source," and "reduced calorie," especially among college students.41
Virtually research has concluded that the NFL is generally misunderstood and misused. When analyzing the label of a single food item, studies written report that the NFL is an inadequate tool, especially to plan diets or to follow dietary recommendations.48, 51 In particular, nutrition labeling tin can exist difficult for consumers to assess when mathematical calculations are necessary, as any quantitative task may represents a barrier to information.48, 52 Rothman et al51 demonstrated that patients struggled to understand the previous NFL, indifferent of their literacy, and numerical skills. Misunderstanding the labels may lead to a imitation estimation of the quantity of nutrients consumed, and in particular, it may possibly contribute to a misinterpretation of the daily value percentages.51
The weaknesses of the NFL formulation led to enquiry to suggest potential improvements to the NFL. An earlier change implemented in 2006 was the inclusion of trans‐fatty information. Wang et al59 analyzed the consequence of this modify on demand for margarine and spreads and concluded that the change was successful in its early years of implementation just less effective in the long run. Later suggestions addressed issues such equally diet and chronic diseases. Graham and Jeffery suggested to relocate important nutrients, like saccharide, to a higher position on the characterization since consumers are more likely to read the top lines of the NFL.56 Rothman et al suggested highlighting "serving size" and "servings per container," as well as providing nutrition information for the entire container of small food products to reflect actual consumption behavior.40 Finally, Todd and Variyam suggested creating sensation campaigns specifically targeting young adults to increase the use of diet labels.52
3.2. Revised NFL
Later on the FDA announced potential revisions to the previous NFL, some studies were conducted to test the effects of all of the proposed changes.34, 60 Some studies focused on specific proposed changes, such as the increase of serving sizes58, 61 or the inclusion of "added sugars."34
Xie et al60 used eye tracking to examine consumer attending to the proposed changes to the NFL and ended that the proposed NFL changes significantly increased consumer's attending; however, the caste of attention difference varied by product. They concluded that consumers spent more time viewing labels for relatively healthy nutrient (ie, Salubrious Choice Frozen Meal) because the negative diet information for relatively unhealthy food was easier to find (ie, chips).60 Furthermore, the proposed NFL increased attention for consumers who previously had depression involvement and were less familiar with a specific food product used in the experiment.lx
Some other eye‐tracking study, by Graham and Roberto,34 examined the furnishings of the proposed changes on visual attending and food selection of young adults and ended that, when compared to the original NFL, the proposed NFL changes did non increment visual attention. Food choices were not significantly different between the characterization groups either. Additionally, the increased font size of "calories" and "serving size" did non significantly increase visual attention, which is reverse to the findings of Xie et al.60 The dissimilarity in results between the two studies may be due to differences in sample characteristics (ie, age). However, the "added sugars" line garnered more visual attention in young adults. Finally, Graham and Roberto reported that the proposed change of moving "%DV" from the correct side to the left side of the NFL garnered less attending for this information.34
Several studies focused on the proposed change to update serving sizes to better reflect bodily consumption of a food production. Interestingly, the updated "serving sizes" has been found to both increase58 and subtract61 consumption. Dallas et al58 suggested to add a serving size definition to the updated NFL because consumers apply this information as a reference for consumption levels. Therefore, the increase of serving sizes could result in serving larger portions for themselves or for others.58, 62 In contrast, Hydock et al61 demonstrated that larger serving sizes could pb consumers to perceive some products equally less healthy and, therefore, reduce the consumption of high‐calorie foods. Dallas et al58 determined that perception of serving sizes, every bit a reference point, resulted in participants overconsuming foods, whereas Hydock et al61 reported that participants had greater attending to nutrition data and, therefore, were sensitive to the increases in negative nutrient information.61 Nevertheless, Hydock et al did annotation that the smaller serving sizes on the previous NFLs may reduce consumers' guilt and, therefore, increase their own consumption.61
Laquatra et al35 focused on the inclusion of the "Added Sugars" line in the proposed NFL. Even though the addition of the "Added Sugars" line increases visual attention, consumers seem to misunderstand the bodily significant of "Added Sugars." They note that, if the primary motivation of the FDA was to clarify the nutrition information and go far easier to understand for the consumers, it seems that this proposed change has led to more than misinterpretations than the previous NFL. However, they determined that the combination of "Total Sugars" and "Added Sugars," rather than "Sugars" and "Added Sugars," helped clarify the significant of the "Added Sugars."35
A more than recent eye‐tracking study on the proposed NFL found mixed results.63 The report used a variety of food products to test for the event of product differentiation on the use of the previous and revised NFL. The authors concluded that the healthiness of the product determined the amount of visual attending paid to the proposed NFL. More visual attention was given to the healthier products in the experiment (salads, yogurt, and healthy frozen meal), whereas less good for you products (cereal, cookies, and potato fries) received less visual attention. Salad, which was the healthiest nutrient option, and chips, the to the lowest degree healthy pick, both received less visual attention than the other products. The authors posit this is due to "perceived ambivalence," because the healthiness of the other food options was not as obvious as salad or fries. Due to the mixed results, the authors concluded that versions of the NFL should vary by food.63
three.three. FOP label
Discussions and possible implementations of FOP labeling are vast and, as with any nutrition‐labeling programme, diverse FOP labeling has heterogeneous furnishings. The FOP labeling is very prominent in Europe, Australia, and New Zealand. In a study in The Netherlands on FOP labels, eye‐tracking and self‐reported measures take shown that, when consumers are looking for a specific nutrient with a specific health goal in mind, they will compare unlike products for the specific nutrient rather than closely examining the characterization of one product.64 Moreover, nutrition labels, even FOP characterization, are not the most viewed portion of a package and that they are viewed even less under a time constraint.64
The FOP labels that focus on colors, such every bit Traffic Light and the 5‐Colour Nutrition Label, have received substantial attention in previous research.65, 66, 67, 68, 69, 70, 71 In a U.s.a. written report, it was reported that color‐coded labels were more effective than the NFL in attracting consumer attending regardless of the healthiness of the nutrient.65 Balcombe et al66 ended that UK consumers understood the labels and were interested in less consumption of a nutrient with the "red" label. Traffic Light labels are too effective under fourth dimension constraint,67 and eye‐tracking results have confirmed that less time is needed to process Traffic Low-cal labels than Guideline Daily Corporeality labels.68 Crosetto et al67 asked participants to plan a daily menu using either Guideline Daily Amounts or Traffic Lights, and, while Guideline Daily Amounts are more than informative, Traffic Lights were as constructive when fourth dimension was constraint. Moreover, eye‐tracking results accept confirmed that less time is needed to process the Traffic Light labels.68 Ducrot et al71 concluded that color‐coded labels were the well-nigh effective for helping consumers rank food items based on healthiness. When testing for the nutritional quality of food pick, the 5‐Color Nutrition Label outperformed the Guideline Daily Amounts, Traffic Light, and Green Tick Characterization.69 Of the labels studied, Guideline Daily Amounts was the least effective at improving nutritional quality.69 Julia et allxx confirmed the success of the 5‐Color Nutrition Label in its ability for consumers in the French market to differentiate the nutritional quality of breakfast cereals.
Other studies question the usefulness of color‐coded labels. Bialkova and Van Triijp72 concluded that monochrome labels were more effective than polychrome coloring. Even so, using purchasing data on yogurt products and set up meals from a major retailer in the UK, Boztug et al73 determined that monochrome labels contributed to healthier choices only when the data were aggregated, only purchasing beliefs did not change when disaggregating the categories. Helfer and Shultz favored simpler FOP labeling schemes as opposed to Traffic Lights or Guideline Daily Amounts and concluded that Traffic Lights only contribute to moderate increases in more nutritious food choice.74
Boosted FOP labeling systems include star‐ratings, like the Guiding Stars that are developed by the Hannaford supermarkets, in which a 0‐three rating scale is used as recommended past the National Academy of Medicine (formerly known as the Institute of Medicine).75, 76 This system rates nutrient based on how many key nutrients (fats, sugars, and salt) are over recommended limits.77, 78 Some inquiry determined that stars brand it easier to understand the healthiness of a production,77 whereas other research concluded that at that place was defoliation in the healthiness of products using this organisation.78 The Guiding Stars used stars that ranged from zero to three to communicate the healthfulness of a product; however, information technology has been argued that having naught stars removes a reference point that can be used to evaluate the differences in attributes.79 Graham and Mohr'southward first experiment used a 0‐3 star ranking and concluded that food with zero stars were considered healthier than food with ane star and equal in healthiness to food of two stars.78 In the 2nd experiment, using a 1‐4 star ranking, the new reference bespeak is allowed for a clearer understanding of the label and thus healthier choices.78 Lundeburg et alfourscore saw conflicting results every bit to Graham and Mohr78; they conducted an experiment on college students where they asked them to view products and rate them on healthiness. They ended that the star labeling system was almost efficient at participants making healthy choices, as it outperformed the Traffic Lite labels. The Guiding Stars were successful at deterring consumers away from food that was deemed "very poor" in nutrition quality.81 Rahkovsky et al82 tested for the effectiveness of the Guiding Stars Plan on fix‐to‐eat cereals and ended that healthier cereals were purchased if price was held constant. Furthermore, Sutherland et al also showed that the Guiding Star Program was effective at irresolute consumer choice over the course of multiple years.83
Australia has a like labeling design to the Guiding Stars, known as the Health Star Rating. Neal at al measured the effectiveness of the Health Star Rating label against other labels, such as the Traffic Lights, and, while the Health Star Rating label was the nigh preferred past consumers, it did non result in healthier food choices.84
Bix et al40 concluded that FOP labels are constructive, as they increment attending to nutrition information. In item, the color‐coded system increases the consumers' attention to diet data. Nonetheless, they also concluded that FOP labeling can be used as a short‐cut under sure situations, and it decreases consumers' attention to the information provided by the NFL on the back of the package. Therefore, Bix et al40 strongly suggested that the well-nigh of import information should announced in the FOP characterization. On the contrary, Turner et al suggested that FOP labels are not short‐cuts when consumers are explicitly interested in diet information and ended that consumers with motivation to buy healthful nutrient spend more than time looking at all available nutrition information, in comparison to consumers who purchase based on taste.85
In a contempo study, Graham et al86 quantified NFL and FOP label viewing using eye‐tracking engineering and examined differences between participants who viewed NFL vs FOP. The results indicated that NFL were less likely to exist viewed than FOP labels during a food‐selection task and the authors concluded that increased visual attending for FOP labels occurred considering of signage that was present in the grocery store at the time that informed consumers most the purposes of FOP labels. According to this written report, FOP labels are simply relevant if an sensation campaign to educate consumers on the availability of this resource accompanies its usage.86
It will be more efficient to keep the Nutrition Keys system every bit noncompulsory and create awareness campaigns to educate American consumers, and so they could employ this label to make healthier food choices.87 Furthermore, effective FOP labels would facilitate the comparison between several similar products available on a supermarket. The effectiveness of whatever given system may vary with the population's nationality, civilization, level of health literacy, and other socioeconomic status.88 Andrews et al89, 90 revealed the importance of giving an education to the American citizens to contribute to a deeper understanding of how nutrition icons work. In summary, the findings indicated that continued examination of FOP system is warranted to enhance the system.87, 88, 89, 90
four. BACKGROUND ON FAFH NUTRITION Data
Nutrient sold at fast‐food and sit down‐down restaurants was exempted from the Nutrition Labeling and Didactics Act of 1990.27 In December 2006, the Center for Science in Public Involvement (CSPI) collaborated with the New York City'south Department of Health and Mental Hygiene on the offset carte labeling policy, requiring calories labeling on menus and menu boards of fast‐food and chain‐nutrient restaurants.32 In September 2008, Arnold Schwarzenegger, so governor of California, passed the first state menu labeling legislation. The CSPI collaborated on the evolution of the bill. Henceforth, CSPI has helped and continues to abet for menu labeling policies in more than than 20 states, counties, and cities. As office of the Affordable Intendance Act, the US Congress adopted a national law for calorie labeling on menus, menu boards, and food on display at restaurants and other similar retail establishments that accept at least 20 locations are doing business under the same proper noun or offering similar nutrient items to restaurants.39 In December 2014, the FDA finalized menu and vending labeling regulations. In May 2016, the carte du jour labeling implementation guide was finalized and has been enforced since May 2017.32 However, many fast‐food and sit‐down restaurants displayed caloric data on menus prior to enforcement. Consequently, some studies have been conducted to decide if legislation requiring menu calories has a real impact on food choice for FAFH.34
5. Upshot OF FAFH Nutrition INFORMATION ON BEHAVIOR AND CHOICE
Cafeterias have provided a setting for several studies91, 92, 93 Research in cafeterias has shown an impact on both intentions to select food92 and actual choice.91, 94 Thorndike et al93 assessed the effectiveness of colour‐coded labeling in a deli and determined that sales of unhealthy items (coded ruddy) decreased and sales of healthy items (coded green) increased significantly. The largest decrease in unhealthy items was noticed in the potable category. Additionally, the bear on on pick was more than noticeable when combining color coding and positioning items in a more user-friendly location.93
Several studies focused on different dimensions of fast‐food carte labeling.94, 95, 96 Cocky‐reported attending to calorie labeling is associated with total calories purchased94 and may have contributed to a 1.five% reduction in body mass alphabetize (BMI) and a 12% reduction in persons with obesity.95 Restrepo95 used country files from the 2004‐2012 Behavioral Adventure Factor Surveillance Organisation to compare health measurements in counties that implemented labeling laws, and counties that did non. The presence of bill of fare labeling is correlated with a 1.5% reduction in BMI, and a lowered risk of obesity (12%), when compared to time periods prior to implication. Calorie labeling in New York was also associated with body weight reductions, especially in lower income minority groups.95 An centre‐tracking study examined the effect of 3 label formats on attention, ie, numeric, color‐coded, and physical activity‐based formats.96 The physical activity‐based labeling, which put caloric information into how much physical activity it would accept to burn the calories, was the nearly preferred and effective type of label. The concrete activeness labels attracted the most visual attention, and the customers fabricated healthier food choices when they were nowadays.96
While the previous studies are informative, a command group was not included to decide if changes intentions or choice occurred randomly. Ellison et al97 examined nutrient choice in a sit‐down eating place where patrons were randomized to a menu‐labeling handling. 2 label treatments provided calorie information (ane with the number of calories and i that used symbols to communicate calorie content), and a control menu that did non provide whatever information almost calorie content. While both characterization treatments influenced nutrient option, effectiveness of a bill of fare label varied based on the level of knowledge consumers had almost diet. The effectiveness of the labels is determined by calories purchased. The numeric representation of calories reduced caloric intake for consumers with relatively less knowledge well-nigh nutrition and the menu with the symbolic calorie label was more effective in reducing calorie intake for more than knowledgeable consumers. Consumers of lower wellness consciousness were affected more by the implementation of the nutrition labels than those of high wellness awareness.97
Other studies have examined the affect of menu labeling by using like cities without menu labeling as a control.98, 99, 100 Including a control location allows for a deviation‐in‐difference analysis. Finkelstein et al98 examined the impact of carte labeling in King County, Washington. The analysis examined transactions before and after menu labeling at seven locations in King Canton and seven control locations. Results indicated that calories per transaction did not vary between King Land and the control locations later calories were displayed on menus. Elbel et al99 examined the touch of bill of fare labeling in Philadelphia by eliciting cocky‐reported use of calorie data and determined calories purchased from fast nutrient receipts from consumers leaving restaurants. Baltimore was used every bit a control because information technology was a similar city that did not have menu labeling. Significantly, more consumers in Philadelphia self‐reported noticing calories on menus, which is not surprising, given that there was no menu labeling in Baltimore. Nevertheless, the deviation in the number of fast food visits or calories purchased was not significant between the two cities. These results do not provide evidence that mandatory menu labeling positively influenced nutrient purchasing beliefs. Elbel et al100 used Newark, New Bailiwick of jersey as a command to examine the impact of New York City's labeling mandate. The results indicated that 27.vii% of those who saw calorie labeling in New York said that the information influenced their choices; however, at that place was no noticeable modify in calories purchased.100
6. CONCLUSION
The American diet is increasingly energy rich but nutrient poor. This is indicative from the high prevalence of obese persons in the U.s.a., and the 2015 Dietary Guidelines Advisory Committee report declares that Americans underconsume calcium, fiber, iron, potassium, and Vitamin D and overconsume saturated fatty and sodium.
Diet labeling was established because it is incommunicable for consumers to determine the nutritional content of packed and prepared food even after consumption. Continuing research provides a better understanding of how to help consumers develop a diverse diet. The proposed changes to the NFL, besides as the inclusion of FOP labeling and carte labeling for FAFH, stand for the development of knowledge most attending to information and another stride in the process to meliorate inform consumers.
Nutrition information is oftentimes put forth as a way to change food choice; however, as research has shown, only providing information is not that effective.sixteen, 17, eighteen, 19, twenty, 21, 22, 23 A problem may exist that many consumers use the nutrition labels to avoid sure nutrients that oft is accompanied with conflicting information (eg, fat and sodium). Information to develop a diversified diet may be more effective if it is targeted to specific audiences.
More research is needed to understand the effectiveness of consistent labeling for FAH and FAFH. It is incommunicable to list as many details on menu labeling that can exist included on products in the grocery store, and agreement nutrition labeling depends on the ability to understand quantitative data. However, labeling cues, such as colour coding, could exist consistently displayed for consumers when shopping for FAH and FAFH. Of course, any diet labeling is dependent on the accurateness of claims, which may be more than problematic for FAFH.101 Yet, in that location may be innovative ways to display nutrition information, which may make it more accessible to most consumers. For case, providing per‐repast recommendations with diet information would provide a reference point and allow consumers to deliberate tradeoffs between meals. 102 A nutrient‐to‐energy ratio, or some type of index, may help consumers better understand nutrient density within and across food groups and FAH versus FAFH.
Some other potential consideration is to improve awareness campaigns to increment cognition of nutrition and better agreement of labels. As noted in the piece of work of Graham et al,87 information technology is more efficient to keep FOP schemes to effectively compare food items. The same reasoning could be practical to the NFL. An effective sensation campaign paired with clear formulation of the NFL can allow for easy comparisons of healthfulness in nutrient items at the supermarket. Much like FOP labeling, the effectiveness of the NFL is contingent on the nationality, culture, level of wellness literacy, and socioeconomic condition.88 The electric current lack of awareness and agreement of the NFL indicates its disability to effectively improve nutrition quality in the The states.
DISCLOSURE
The authors declared no conflicts of interest.
Notes
Dumoitier A, Abbo V, Neuhofer ZT, McFadden BR. A review of nutrition labeling and food choice in the Usa. Obes Sci Pract. 2019;5:581–591. 10.1002/osp4.374 [CrossRef] [Google Scholar]
REFERENCES
1. Alisha, Coleman‐Jensen , Rabbitt Matthew P., Gregory Christian A., and Singh Anita. Household Food Security in the U.s. in 2017. No. 291968. United States Department of Agriculture, Economic Research Service, 2018.
2. Ogden CL, Carroll Doc, Kit BK, Flegal KM. Prevalence of babyhood and developed obesity in the United states, 2011‐2012. JAMA ‐ J Am Med Assoc. 2014. 10.1001/jama.2014.732 [PMC free commodity] [PubMed] [CrossRef] [Google Scholar]
3. USDA . Scientific Written report of the 2015 Dietary Guidlines Advisory Committee. Washington DC; 2015.
iv. Cawley J, Meyerhoefer C. The medical care costs of obesity: an instrumental variables approach. J Health Econ. 2012. 10.1016/j.jhealeco.2011.10.003 [PubMed] [CrossRef] [Google Scholar]
v. Polar Chiliad, Sturm R. Potential societal savings from reduced sodium consumption in the U.Southward. adult population. Am J Wellness Promot. 2009. ten.4278/ajhp.080826-QUAN-164 [PubMed] [CrossRef] [Google Scholar]
seven. Seguin RA, Aggarwal A, Vermeylen F, Drewnowski A. Consumption frequency of foods abroad from home linked with college body mass index and lower fruit and vegetable intake among adults: a cross‐sectional study. J Environ Public Health. 2016. 10.1155/2016/3074241 [PMC costless article] [PubMed] [CrossRef] [Google Scholar]
eight. Popkin BM, Jacobs DR, Duffey KJ, Williams OD, Gordon‐Larsen P. Differential associations of fast food and eating house food consumption with 3‐y change in torso mass alphabetize: the Coronary Artery Chance Development in Immature Adults Study. Am J Clin Nutr. 2018. 10.1093/ajcn/85.1.201 [PubMed] [CrossRef] [Google Scholar]
9. Duerksen SC, Elder JP, Rogers M, et al. Away‐from‐home nutrient intake and risk for obesity: examining the influence of context. Obesity. 2008. ten.1038/oby.2008.34 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
x. Jeffery RW, Baxter J, McGuire Yard, Linde J. Are fast food restaurants an ecology risk cistron for obesity? Int J Behav Nutr Phys Act. 2006. 10.1186/1479-5868-3-2 [PMC gratis commodity] [PubMed] [CrossRef] [Google Scholar]
11. Bowman SA, Vinyard BT. Fast food consumption of U.S. adults: bear upon on energy and nutrient intakes and overweight status. J Am Coll Nutr. 2004;23:163‐168. 10.1080/07315724.2004.10719357 [PubMed] [CrossRef] [Google Scholar]
12. Bezerra IN, Curioni C, Sichieri R. Association betwixt eating out of abode and torso weight. Nutr Rev. 2012. 10.1111/j.1753-4887.2011.00459.ten [PubMed] [CrossRef] [Google Scholar]
thirteen. An R. Fast‐food and full‐service restaurant consumption and daily energy and nutrient intakes in U.s. adults. Eur J Clin Nutr. 2016;seventy:97‐103. ten.1038/ejcn.2015.104 [PubMed] [CrossRef] [Google Scholar]
14. Nguyen BT, Powell LM. The impact of eatery consumption among US adults: effects on energy and nutrient intakes. Public Health Nutr. 2013;17:2445‐2452. 10.1017/S1368980014001153 [PubMed] [CrossRef] [Google Scholar]
15. Powell LM, Nguyen BT. Fast‐nutrient and full‐service eatery consumption amid children and adolescents: effect on free energy, drink, and nutrient intake. Curvation Pediatr Adolesc Med. 2013;167:14‐20. 10.1001/jamapediatrics.2013.417 [PMC complimentary commodity] [PubMed] [CrossRef] [Google Scholar]
16. Campos Southward, Doxey J, Hammond D. Nutrition labels on pre‐packaged foods: a systematic review. Public Health Nutr. 2011. x.1017/S1368980010003290 [PubMed] [CrossRef] [Google Scholar]
17. Miller LMS, Cassady DL. The effects of nutrition knowledge on food label use. A review of the literature. Ambition: 2015. 10.1016/j.appet.2015.05.029 [PMC costless commodity] [PubMed] [CrossRef] [Google Scholar]
xix. Muth MK, Arsenault JE, Kosa KM, Wohlgenant KC, Hersey JC. Effects of front end‐of‐parcel and shelf nutrition labeling systems on consumers. Nutr Rev. 2013. 10.1111/nure.12000 [PubMed] [CrossRef] [Google Scholar]
20. Hawley KL, Roberto CA, Bragg MA, Liu PJ, Schwartz MB, Brownell KD. The scientific discipline on front end‐of‐packet food labels. Public Health Nutr. 2013. 10.1017/S1368980012000754 [PubMed] [CrossRef] [Google Scholar]
21. Fernandes Ac, Oliveira RC, Proenca RPC, Curioni CC, Rodrigues VM, Fiates GMR. Influence of carte labeling on nutrient choices in real‐life settings: a systematic review. Nutr Rev. 2016. 10.1093/nutrit/nuw013 [PubMed] [CrossRef] [Google Scholar]
22. Long MW, Tobias DK, Cradock AL, Batchelder H, Gortmaker SL. Systematic review and meta‐assay of the impact of restaurant menu calorie labeling. Am J Public Health. 2015;105:e11‐e24. [PMC free article] [PubMed] [Google Scholar]
23. Sinclair SE, Cooper Chiliad, Mansfield ED. The influence of menu labeling on calories selected or consumed: a systematic review and meta‐analysis. J Acad Nutr Nutrition. 2014. 10.1016/j.jand.2014.05.014 [PubMed] [CrossRef] [Google Scholar]
25. United States . Office of the Assistant Secretary for Health, United States. Public Wellness Service. Function of the Surgeon General. The Surgeon Full general'southward report on nutrition and wellness. U.s.a. Department of Health and Human being Services, Public Health Service; 1988.
26. National Research Council . Diet and Health: Implications for Reducing Chronic Disease Take chances Committee on Diet and Health. 1989. http://world wide web.nap.edu/catalog/1222.html
thirty. Nutrient Condom and Inspection Service . Revision of the Nutrition Facts Labels for Meat and Poultry Products and Updating Certain Reference Amounts Customarily Consumed. 2017. http://www.regulations.gov
32. FDA . Office Two Department of Health and Human being Services. 2014;79(41).
33. FDA . 33742 Supplementary information: food labeling: revision of the Diet and Supplement Facts Labels Agency: action: summary. 2016;81(103):240‐402. [PubMed]
34. Graham DJ, Roberto CA. Evaluating the touch on of U.South. food and drug assistants–proposed Nutrition Facts Label changes on young adults' visual attention and purchase intentions. Health Educ Behav. 2016;43:389‐398. 10.1177/1090198116651082 [PubMed] [CrossRef] [Google Scholar]
35. Laquatra I, Sollid K, Smith Edge M, Pelzel J, Turner J. Including "added sugars" on the nutrition facts panel: how consumers perceive the proposed modify. J Acad Nutr Diet. 2015;115:1758‐1763. 10.1016/j.jand.2015.04.017 [PubMed] [CrossRef] [Google Scholar]
38. GMA . GMA‐FMI voluntary forepart‐of‐pack diet labeling system revised style guide. 2012.
39. U.S. Department of Health and Human Services and U.S. Department of Agriculture (USDHHS/USDA) . Food Labeling; Nutrition Labeling of Standard Carte du jour Items in Restaurants and Like Retail Food Establishments; Calorie Labeling of Articles of Food in Vending Machines; Concluding Rule. Vol 79 Washington DC; 2014. https://www.ncbi.nlm.nih.gov/pubmed/25438344 [Google Scholar]
40. Bix L, Sundar RP, Bello NM, Peltier C, Weatherspoon LJ, Becker MW. To see or not to see: do front of pack nutrition labels touch attention to overall nutrition information? PLoS ONE 2015;10(10):e0139732 10.1371/journal.pone.0139732 [PMC complimentary article] [PubMed] [CrossRef] [Google Scholar]
41. Marietta AB, Welshimer KJ, Anderson SL. Noesis, attitudes, and behaviors of college students regarding the 1990 Nutrition Labeling Education Act food labels. J Am Nutrition Assoc. 1999. ten.1016/S0002-8223(99)00108-X [PubMed] [CrossRef] [Google Scholar]
42. Bender Chiliad, Derby B. Prevalence of reading nutrition and ingredient information on food labels among adult Americans: 1982–1988. J Nutr Educ. 1992;24:292‐297. [Google Scholar]
43. Burton S, Andrews JC. Age, production diet, and label format effects on consumer perceptions and product evaluations. J Consum Aff. 1996;30:68‐89. x.1111/j.1745-6606.1996.tb00726.ten [CrossRef] [Google Scholar]
44. Cole CA, Balasubramanian SK. Age differences in consumers' search for data: public policy implications. J Consum Res. 2002;20:157 10.1086/209341 [CrossRef] [Google Scholar]
45. Kim SY, Nayga RM Jr, Capps O Jr. Nutrient label utilize, cocky‐selectivity, and diet quality. J Consum Aff 2001;35(ii):346‐ 363. [Google Scholar]
46. Kim Due south‐Y, Nayga RM, Capps O. Health knowledge and consumer use of nutritional labels: the event revisited. Agric Resour Econ Rev. 2016;thirty:10‐xix. 10.1017/s1068280500000502 [CrossRef] [Google Scholar]
47. Misra R. Knowledge, attitudes, and characterization use amid college students. J Am Diet Assoc. 2007. x.1016/j.jada.2007.09.001 [PubMed] [CrossRef] [Google Scholar]
48. Levy Equally, Fein SB. Consumers' ability to perform tasks using nutrition labels. J Nutr Educ. 1998;thirty:210‐217. 10.1016/S0022-3182(98)70321-8 [CrossRef] [Google Scholar]
49. Guthrie JF, Fob JJ, Cleveland LE, Welsh S. Who uses nutrition labeling, and what furnishings does label use have on nutrition quality? J Nutr Educ. 1995;27:163‐172. ten.1016/S0022-3182(12)80422-v [CrossRef] [Google Scholar]
l. Mclean‐Meyinsse PE. An assay of nutritional label apply in the Southern United States. Nutrient Distrib Res Soc. 2001;32:1‐5. [Google Scholar]
51. Rothman RL, Housam R, Weiss H, et al. Patient understanding of food labels. The function of literacy and numeracy. Am J Prev Med. 2006. 10.1016/j.amepre.2006.07.025 [PubMed] [CrossRef] [Google Scholar]
52. Todd JE, Variyam JN. Economic Inquiry Report Number 63: The Decline in Consumer Use of Nutrient Nutrition Labels. 2008. http://world wide web.ers.usda.gov
53. Nayga RM. Determinants of consumers' use of nutritional information on food packages. J Agric Appl Econ. 2016;28:303‐312. 10.1017/s107407080000732x [CrossRef] [Google Scholar]
54. Nayga RM, Lipinski D, Savur Due north. Consumers' utilize of nutritional labels while food shopping and at Home. J Consum Aff. 1998;32:106‐120. [Google Scholar]
55. Wang Chiliad, Fletcher SM, Carley DH. Consumer utilization of food labeling equally a source of nutrition information. J Consum Aff. 1995;29:368‐380. [Google Scholar]
56. Graham DJ, Jeffery RW. Location, location, location: eye‐tracking evidence that consumers preferentially view prominently positioned nutrition information. J Am Nutrition Assoc. 2011. 10.1016/j.jada.2011.08.005 [PMC free commodity] [PubMed] [CrossRef] [Google Scholar]
57. Goldberg JH, Probart CK, Zak RE, Force A, Logistics 1000, Detrick F. Visual search of nutrient nutrition labels. Hum Factors. 1999;41:425‐437. [PubMed] [Google Scholar]
58. Dallas SK, Liu PJ, Ubel PA. Potential problems with increasing serving sizes on the Diet Facts label. Appetite. 2015;95:577‐584. 10.1016/j.appet.2015.08.012 [PubMed] [CrossRef] [Google Scholar]
59. Wang EY, Wei H, Caswell JA. The touch on of mandatory trans fat labeling on product mix and consumer option: a longitudinal analysis of the U.S. Marketplace for margarine and spreads. Food Policy. 2016. x.1016/j.foodpol.2016.09.004 [CrossRef] [Google Scholar]
lx. Xie Y, Grebitus C, Davis G. Tin can the new label make a departure? Comparing consumer attention towards the electric current versus proposed Nutrition Facts panel. 2015 Aaea Waea 2015. http://ageconsearch.umn.edu/bitstream/205683/4/2015AAEA ‐ Xie, Grebitus, Davis.pdf
61. Hydock C, Wilson A, Easwar K. The effects of increased serving sizes on consumption. Appetite. 2016;101:71‐79. 10.1016/j.appet.2016.02.156 [PubMed] [CrossRef] [Google Scholar]
62. McFerran B, Dahl DW, Fitzsimons GJ, Morales Air conditioning. I'll accept what she'southward having: effects of social influence and body type on the nutrient choices of others. J Consum Res. 2010;36:915‐929. 10.1086/644611 [CrossRef] [Google Scholar]
63. Grebitus C, Davis GC. Change is good!? Analyzing the human relationship between attention and nutrition facts console modifications. Food Policy. 2017;73:119‐130. 10.1016/J.FOODPOL.2017.10.002 [CrossRef] [Google Scholar]
64. van Herpen E, van Trijp HCM. Front‐of‐pack diet labels. Their effect on attention and choices when consumers have varying goals and fourth dimension constraints. Appetite. 2011. x.1016/j.appet.2011.04.011 [PubMed] [CrossRef] [Google Scholar]
65. Becker MW, Bello NM, Sundar RP, Peltier C, Bix L. Front of pack labels enhance attention to nutrition information in novel and commercial brands. Food Policy. 2015. 10.1016/j.foodpol.2015.08.001 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
66. Balcombe K, Fraser I, Di Falco S. Traffic lights and food choice: a selection experiment examining the relationship between nutritional food labels and price. Nutrient Policy. 2010. 10.1016/j.foodpol.2009.12.005 [CrossRef] [Google Scholar]
67. Crosetto P, Muller L, Ruffieux B. Helping consumers with a front‐of‐pack label: numbers or colors?: Experimental comparison between Guideline Daily Amount and Traffic Light in a nutrition‐edifice do. J Econ Psychol. 2016. 10.1016/j.joep.2016.03.006 [CrossRef] [Google Scholar]
68. Siegrist K, Leins‐Hess R, Keller C. Which front‐of‐pack nutrition characterization is the most efficient one? The results of an eye‐tracker study. Food Qual Prefer. 2015. ten.1016/j.foodqual.2014.07.010 [CrossRef] [Google Scholar]
69. Ducrot P, Julia C, Méjean C, et al. Bear upon of different front‐of‐pack diet labels on consumer purchasing intentions: a randomized controlled trial. Am J Prev Med. 2016. x.1016/j.amepre.2015.ten.020 [PubMed] [CrossRef] [Google Scholar]
70. Julia C, Kesse‐Guyot E, Ducrot P, et al. Functioning of a v category front‐of‐pack labelling system ‐ the 5‐colour nutrition label ‐ to differentiate nutritional quality of breakfast cereals in French republic. BMC Public Health. 2015;15:one‐9. 10.1186/s12889-015-1522-y [PMC costless article] [PubMed] [CrossRef] [Google Scholar]
71. Ducrot P, Méjean C, Julia C, et al. Objective understanding of front‐of‐package nutrition labels among nutritionally at‐hazard individuals. Nutrients. 2015. x.3390/nu7085325 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
72. Bialkova S, van Trijp H. What determines consumer attention to diet labels? Food Qual Prefer. 2010. 10.1016/j.foodqual.2010.07.001 [CrossRef] [Google Scholar]
73. Boztuğ Y, Juhl HJ, Elshiewy O, Jensen MB. Consumer response to monochrome Guideline Daily Amount nutrition labels. Food Policy. 2015. 10.1016/j.foodpol.2015.03.002 [CrossRef] [Google Scholar]
74. Helfer P, Shultz TR. The effects of diet labeling on consumer nutrient choice: a psychological experiment and computational model. Ann North Y Acad Sci. 2014. 10.1111/nyas.12461 [PubMed] [CrossRef] [Google Scholar]
78. Graham DJ, Mohr GS. When zero is greater than one: consumer misinterpretations of nutrition labels. Health Psychol. 2014. 10.1037/hea0000080 [PubMed] [CrossRef] [Google Scholar]
79. Palmeira MM. The zero‐comparing consequence. J Consum Res. 2011. 10.1086/657998 [CrossRef] [Google Scholar]
eighty. Lundeberg PJ, Graham DJ, Mohr GS. Comparing of two front‐of‐packet nutrition labeling schemes, and their explanation, on consumers' perception of production healthfulness and food choice. Appetite. 2018;125:548‐556. 10.1016/j.appet.2018.02.027 [PubMed] [CrossRef] [Google Scholar]
81. Newman CL, Burton Southward, Andrews JC, Netemeyer RG, Kees J. Marketers' apply of culling front‐of‐package nutrition symbols: an examination of effects on product evaluations. J Acad Market Sci 2018;46(3):453‐ 476. [Google Scholar]
82. Rahkovsky I, Lin B‐H, Lin C‐TJ, Lee J‐Y. Effects of the Guiding Stars Plan on purchases of ready‐to‐eat cereals with different nutritional attributes. Food Policy. 2013. 10.1016/j.foodpol.2013.08.013 [CrossRef] [Google Scholar]
83. Sutherland LA, Kaely LA, Fischer Fifty. Annotate on Guiding Stars: the effect of a nutrition navigation program on consumer purchases at the supermarket. Nutr Clin Pract. 2010. 10.1177/0884533610379856 [PubMed] [CrossRef] [Google Scholar]
84. Neal B, Crino M, Dunford Due east, et al. Effects of different types of forepart‐of‐pack labelling information on the healthiness of nutrient purchases—a randomised controlled trial. Nutrients. 2017. 10.3390/nu9121284 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
85. Turner MM, Skubisz C, Pandya SP, Silverman M, Austin LL. Predicting visual attention to nutrition information on food products: the influence of motivation and ability. J Health Commun. 2014;19:1017‐1029. ten.1080/10810730.2013.864726 [PubMed] [CrossRef] [Google Scholar]
86. Graham DJ, Heidrick C, Hodgin K. Nutrition label viewing during a nutrient‐choice job: Front‐of‐Parcel Labels vs Diet Facts Labels. J Acad Nutr Diet. 2015;115:1636‐1646. 10.1016/j.jand.2015.02.019 [PubMed] [CrossRef] [Google Scholar]
87. Graham DJ, Orquin JL, Visschers VHM. Eye tracking and nutrition label use: A review of the literature and recommendations for label enhancement. Nutrient Policy. 2012;37:378‐382. 10.1016/J.FOODPOL.2012.03.004 [CrossRef] [Google Scholar]
88. Bronwell KD, Koplan JP. Forepart‐of‐parcel nutrition labeling ‐ an abuse of trust by the nutrient manufacture? North Engl J Med. 2011;364:2373‐2375. [PubMed] [Google Scholar]
89. Andrews JC, Burton Due south, Kees J. Is simpler always better? Consumer evaluations of front‐of‐parcel nutrition symbols. J Public Policy Mark. 2011;30:1547‐7207. [Google Scholar]
90. Andrews JC, Lin C‐TJ, Levy AS, Lo Southward. Consumer research needs from the Food and Drug Administration on front‐of‐packet nutritional labeling. J Public Policy Mark. 2014;33:10‐16. 10.1509/jppm.33.one.ten [CrossRef] [Google Scholar]
91. Chu YH, Frongillo EA, Jones SJ, Kaye GL. Improving patrons' meal selections through the employ of point‐of‐selection nutrition labels. Am J Public Health. 2009;99:2001‐2005. 10.2105/AJPH.2008.153205 [PMC costless article] [PubMed] [CrossRef] [Google Scholar]
92. Roseman MG, Joung HW, Choi EK, Kim HS. The effects of eating place nutrition menu labelling on college students' salubrious eating behaviours. Public Health Nutr. 2017. 10.1017/S1368980016002871 [PubMed] [CrossRef] [Google Scholar]
93. Thorndike AN, Sonnenberg L, Riis J, Barraclough S, Levy DE. A 2‐phase labeling and choice architecture intervention to improve healthy food and beverage choices. Am J Public Wellness. 2012;102:527‐533. 10.2105/AJPH.2011.300391 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
94. Brissette I, Lowenfels A, Noble C, Spicer D. Predictors of total calories purchased at fast‐food restaurants: eating house characteristics, calorie awareness, and utilize of calorie information. J Nutr Educ Behav. 2013;45:404‐411. 10.1016/j.jneb.2013.01.019 [PubMed] [CrossRef] [Google Scholar]
95. Restrepo BJ. Calorie labeling in concatenation restaurants and trunk weight: evidence from New York. Heal Econ (United Kingdom). 2017. 10.1002/hec.3389 [PubMed] [CrossRef] [Google Scholar]
96. Kim Due east, Tang L (Rebecca), Meusel C, Gupta M. Optimization of menu‐labeling formats to drive healthy dining: an center tracking study. Int J Hosp Manag. 2018. 10.1016/j.ijhm.2017.10.020 [CrossRef] [Google Scholar]
97. 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:i‐9. 10.1186/1479-5868-ten-21 [PMC free commodity] [PubMed] [CrossRef] [Google Scholar]
98. Finkelstein EA, Strombotne KL, Chan NL, Krieger J. Mandatory menu labeling in i fast‐food chain in king county, Washington. Am J Prev Med. 2011;40:122‐127. 10.1016/j.amepre.2010.10.019 [PubMed] [CrossRef] [Google Scholar]
99. Elbel B, Mijanovich T, Dixon LB, et al. Calorie labeling, fast food purchasing and eating place visits. Obesity. 2013;21:2172‐2179. 10.1002/oby.20550 [PMC gratis article] [PubMed] [CrossRef] [Google Scholar]
100. Elbel B, Kersh R, Brescoll VL, Dixon LB. Calorie labeling and nutrient choices: a kickoff look at the effects on low‐income people in New York City. Health Aff (Millwood). 2009;28:1110‐1121. x.1377/hlthaff.28.vi.w1110 [PubMed] [CrossRef] [Google Scholar]
101. Pomeranz JL, Brownell KD. Legal and public health considerations affecting the success, achieve, and impact of menu‐labeling laws. Am J Public Health. 2008;98:1578‐1583. ten.2105/AJPH.2007.128488 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
102. Downs JS, Wisdom J, Wansink B, Loewenstein 1000. Supplementing card labeling with calorie recommendations to exam for facilitation effects. Am J Public Health. 2013;103:1604‐1609. 10.2105/AJPH.2013.301218 [PMC free commodity] [PubMed] [CrossRef] [Google Scholar]
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