Indonesian Adolescents’ Perceptions of Front-of-package Labels on Packaged Food and Drinks

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Unhealthy dietary behaviors arise with increased accessibility to ultra-processed foods and a concurrent drive towards increased autonomy. Objective To explore Indonesian adolescents’ drivers of food choice, perceptions of different front-of-package labels (FOPLs), and views on design features that could influence the impact of FOPLs. Methods Eight focus groups were conducted with 46 participants aged 12–18, of different socioeconomic status from Jakarta metropolitan areas. Three FOPLs were tested, and the selection of snacks was guided by interviews with four adolescents. The Pan American Health Organization (PAHO) nutrient profile and the UK nutrient profile were used for the warning label and traffic light label (TLL), respectively. Participants completed a demographics questionnaire, then an online assessment and discussion that encompassed food purchasing decisions, reactions to each of the FOPLs, comparison of FOPLs, and comparing alternative label designs for each FOPL type. Thematic analysis and the Likert scale were used for quantitative and qualitative analysis, respectively. Results Price, taste, and value were the major drivers of food purchasing. While most participants said the TLL would make them stop and think (57%) and helped them identify unhealthy food (80%), few believed the label would make them concerned about purchasing unhealthy food (37%). Few participants (35–37%) agreed that any of the three label types would make them not want to buy unhealthy foods or discourage them from purchasing unhealthy foods (26%-28%). Conclusions Traffic light and warning labels hold promise for helping adolescents in Indonesia identify unhealthy foods and discourage purchases of these products, while healthy icons are perceived as less effective. Health Policy Food purchasing dietary patterns ultra-processed foods nutrition transition food policy Figures Figure 1 Figure 2 Introduction In Indonesia, a significant public health issue among adolescents is the high prevalence of undernutrition and micronutrient deficiencies coupled by rapidly increasing rates of overweight and obesity ( 1 , 2 ). Adolescence is a particularly vulnerable period of biological development, characterized by rapid growth with increased demands for nutrients and energy ( 3 ). Poor nutrition during this period can impact adolescents’ growth and lead to negative consequences for health in adulthood ( 4 ). Unhealthy dietary behaviors are also cause for concern, particularly as dietary preferences and behaviors established early in life tend to persist into adulthood ( 5 ). At the same time as they undergo rapid physical changes, adolescents in Indonesia are also experiencing rapid changes in their food environment. As in other low- and middle-income countries, increasing incomes, urbanization, and the expansion of the processed food industry have increased access to ultra-processed foods, including sugar-sweetened beverages and other industrially produced products that tend to be low in beneficial nutrients and high nutrients of concern such as sugar, sodium, and saturated fat ( 6 ). Increased autonomy and agency along with the strong desire for belonging creates circumstances that foster a rise in unhealthy dietary behaviors ( 7 ). Indonesian adolescents practice more frequent snacking and increased consumption of food away-from home, with higher intakes of fast food, fried foods and snacks, soft drinks, and ultra-processed food, and overall poor dietary diversity ( 8 – 10 ). A recent qualitative study of Indonesian adolescents found that they were increasingly purchasing their own snacks and meals, at schools, at work, and at vendors ( 9 ). In the context of a rapidly changing food environment characterized by high levels of ultra-processed food, a high prevalence of marketing of these products to children and adolescents, and the widespread use of price promotions and other strategies to promote these products, front-of-package labels (FOPLs) have emerged as a promising strategy to help consumers make healthier food choices. Interpretive FOPLs, which provide a qualitative assessment or recommendation about the product in addition to summarizing its nutrition information, are especially promising. Among the most commonly tested label types are traffic light labels (TLL), which include color-coded and numeric information about specific nutrients of concern; warning labels, which indicate that a product is high in nutrients of concern; and positive ‘healthy’ logos, which indicate that a product is ‘healthy’ according to some pre-specified set of nutrient criteria ( 11 ). Of these label types, the warning label is perhaps the best studied to date, with multiple recent systematic reviews showing that warnings reduced selection of unhealthy food and drinks by 26–36% ( 12 , 13 ). In addition, evidence from Chile, the first country to implement a system of warning labels, found that the labels decreased purchases of unhealthy foods ( 14 ) and changed mothers’ and children’s perceptions about these products ( 15 ). In contrast, there is limited real-world data about the effectiveness of other common interpretive FOPLs, such as positive icons or TLL ( 7 ). Real world evidence on TLL systems has been mixed, with one study from the UK finding a sizeable reduction in calories purchased linked to the traffic light policy ( 16 ), while another study found no association with purchases ( 17 ). With regards to positive logos, some evidence suggests that they are linked to product reformulation ( 18 – 20 ). Experimental evidence is mixed, but generally finds that positive logos are less effective than negative labels at influencing consumer perceptions, reactions, and choices ( 21 , 22 ). One study found that a positive logo was linked to increased market share of logo-eligible products ( 23 ), but otherwise there is little real-world data on their influence on consumer purchase. Despite the growing evidence about FOPLs, a major gap in the literature is the lack of studies examining how adolescents perceive, understand, and use FOPL. There are unique considerations to adolescent development that affect how they make choices about food and thus their response to FOPLs. First, adolescents may be less motivated by nutritional or health concerns than other age groups, especially boys ( 24 ). A recent qualitative study of 18 countries found that adolescents food choice were influenced by family, social media, and the internet, followed by television, friends, and marketing (e.g., branding, advertising, celebrity endorsements) ( 25 ). Thus, it is important to understand whether adolescents’ food choices would be influenced by FOPL, considering that the basic premise of FOPL is to help consumers better identify which products are more or less healthy. In addition, adolescence is a period of increasing autonomy, including desire to separate from one’s family and the influence of one’s parents. Healthy foods including fruits and vegetables and home-cooked meals may be associated with parents and home life, while unhealthy foods may be associated with pleasure, socialization, and independence ( 7 ). These factors may influence how adolescents react to different FOPLs that communicate healthfulness. Thus, a better understanding of what drives adolescent food choice and response to different FOPL types in the Indonesian context is needed to identify an effective FOPL for this population. Finally, the evidence highlights the importance of different design features of FOPLS for ensuring consumers’ understanding of labels. A recent study in South Africa focused on warning labels found that consumers preferred black triangles on a white background, the words “high in” and warning” in bold and uppercase text, an exclamation mark, and an icon depicting the excessive nutrient ( 26 ). A similar study from the US found that the use of marker words and exclamation points increased perceived effectiveness of warnings ( 27 ). Less is known about the impact of design features for traffic light labels or positive icons. Given adolescents’ unique psychological profile, it is important to understand which design features are perceived as most effective. The objective of this study was to explore Indonesian adolescents’ (a) drivers of food choice; (b) perceptions of different FOPLs; and (c) views on different design features that could influence the impact of FOPLs. Methods We conducted eight focus groups between June 2nd and 4th, 2021. The total sample comprised 46 adolescents aged 12–18 years from the Jakarta metropolitan region, Indonesia’s most populous area. Each focus group had 4 to 7 participants and lasted between 1.5 hours to 2 hours. Focus groups were stratified by gender and age group (12–15 y and 16–18 y groups). We purposively recruited participants from different socio-economic status (SES) (Table 1 ). SES was defined by school location and type (government-subsidized, private, vocational and international school), with additional determinants based by The National Socioeconomic Survey (SUSENAS) such as parent’s education, parent’s occupation, weekly pocket money, number of vehicles (cars and motorcycles), household floor and wall type. Adolescents were recruited through digital ads, peer-to-peer recruitment, and in-person recruitment in selected areas of West Jakarta, East Jakarta, South Jakarta, and Depok. Written informed consent was given by each parent or guardian and participant prior to participation. The study was approved by the Ethical Committees of University Atmajaya, Jakarta with registration number 0030S/III/LPPM-PM.05.05/05/2021. Table 1 Stratification of focus group participants by location and SES Groups 1&2 (n = 13) Groups 3 &4 (n = 12) Groups 5 & 6 (n = 10) Groups 7 &8 (n = 11) Location South Jakarta East Jakarta Central Jakarta West Jakarta and Tangerang SES High-middle Middle-low Middle-low Low Stimuli Label Design : Three FOPLs were selected for testing: a traffic light label (TLL), warning label design and a healthier choice logo. While the latter was selected because it is displayed on a subset of product categories in Indonesia ( 28 ), the TLL and warning labels were selected based on their use for influencing purchasing behaviors in other populations. Images of the FOPLs are depicted in Fig. 1 . 1. The warning label’s design was based on the warning label used in South Africa. It comprised one black diamond-shaped warning on a white background (with the text “WARNING” and an exclamation point) and up to four similar diamond-shaped warnings (with text, HIGH IN SUGAR, HIGH IN SODIUM, HIGH IN FAT or HIGH IN SATURATED FAT), written in Indonesian. 2. The TLL’s design was based on the voluntary system used in the UK ( 29 ). The label showcased information on a product’s energy and amount of fat, saturated fat, total sugar, and salt, using color codes - red, yellow or green – to signal the nutrient content as high, medium, or low, respectively. 3. The Healthier choice label’s design was based on the icon used for selected instant pasta and noodles, and ready-to-drink beverages in Indonesia. The icon comprises an encircled green tick sign with the words ´HEALTHIER CHOICE´ written on top, and ´Compared to similar products when consumed in fair quantities´ at the bottom of the circle ( 28 ). For each label, we tested a set of alternate designs (Table 2 ). Participants were queried about a range of design elements, such as font size, color of label and ‘holding strap’, and the shape. To enhance realism, we presented the labels within digital and physical mock-ups resembling real Indonesian snacks commonly preferred by adolescents. The selection of snacks was guided by interviews with four adolescents, two boys and two girls, living in Jakarta. This selection was cross-verified with a dataset detailing frequently consumed packaged foods by Indonesian adolescents. The product categories shown to participants were consistent across each type of label and encompassed biscuits, ready-to-drink beverages, chips or crisps, and instant noodles. Nutrient profile models Different nutrient profile systems were used for each label type to determine the relevant information to display for each product. For instance, for the warning label, this encompassed determining the number and type of warnings to be included, and for the TLL, it involved deciding the color and numeric information for each nutrient. We used the Pan American Health Organization (PAHO) nutrient profile ( 30 ) and the UK nutrient profile ( 29 ) for the warning label and TLL, respectively. For the healthier choice logo, we used the nutrient profile established in the Indonesian BPOM norm 22 ( 28 ). In each case, the nutrient profile model was applied to the real nutritional information of each product. As an exception, chips and biscuits for the healthier choice icon were rated using the PAHO nutrient profile, as BPOM norm 22 did not include cutoffs for these product categories during the study period. Procedures: Trained moderators from a market research company used a semi-structured focus group discussion guide prepared by the research team for collect data. First, participants completed a demographics questionnaire, including information on age, gender, school level, school type, parent’s education, and parent’s occupation. Then, participants alternated between completing an online questionnaire and participating in a moderated discussion. Both the questionnaire assessment and the moderated discussion comprised four sections: a) food purchasing decisions; b) reactions to each of the front-of-package labels; b) comparison of front of package labels (e.g., the TLL vs. the warning label vs. the healthier choice icon; and d) comparing alternative label designs for each front-of-package label type. During each section, the moderator displayed product mockups with the relevant label types for participants to observe during the ratings assessment and discussion. The full discussion guide is presented in Appendix B . In the food purchasing decisions section, the group explored a) the most important factors influencing their purchasing decision; b) use of back-of-package nutrition information; c) use of front-of-package nutrition information; d) use of nutrition and health claims; e) appeal of product packaging and marketing elements (e.g., liking of cartoons or celebrities); f) consideration of price, healthfulness, and ‘coolness’; and g) meaning and potential use of government endorsement of front-of-package nutrition labels. In the section on reactions to FOPLs, participants explored a) visibility and memorability; b) comprehensibility; c) perceived effectiveness on attitudes towards products and purchasing behavior; and d) design elements of the label (e.g., which aspects of the FOPL were most memorable). In the comparative ratings section, participants were shown all three FOPLS and asked whether one label stood out and if so, why. Participants also discussed which label would most help them identify unhealthy foods and would most discourage them from buying unhealthy foods. Finally, in the comparative alternative label designs, participants were shown alternative designs of the FOPLS and discussed their a) visibility and memorability; b) comprehensibility; c) perceived effectiveness on attitudes towards products and purchasing behavior; and d) whether the alternations in the design influenced their intention to consume a product. Questionnaire Measures The Typeform platform on each participant’s phone was used to record questionnaire data. To examine drivers of food purchases, participants were asked to circle and rank the top five factors that were most important when making up their mind about a new food or drink. Responses included brand, price, presence of characters, promotions/gifts/discounts, flavor/taste, nutritional information, familiarity, convenience, recommendations by health professionals or institutions (e.g., ministry of health), advertisements, family preferences or requests, or nutrition/health claims. Participants were then shown product mock-ups with particular label, and asked to rate how much they agreed or disagreed that the label was a) easy to see; b) memorable; c) believable; d) made them stop and think; e) relevant; f) helped them know if foods/drinks are unhealthy; g) made them concerned about purchasing unhealthy foods/drinks; h) made them less likely to purchase unhealthy foods/drinks. Response options included strongly disagree, somewhat disagree, neither disagree nor agree, somewhat agree, or strongly agree. Actual wording for items and responses are shown in Appendix C . The sequence in which the labels were presented differed across FGD. After seeing all three labels, participants were asked to select which of the three options: a) was most likely to grab their attention; b) which one would help them tell which foods and drinks were unhealthy; and c) which one was most likely to avoid purchasing unhealthy foods or drinks (actual wording shown in Appendix D). Finally, in the comparative alternative label designs, we asked participants to observe three alternative design for each FOPL and select their preferred option. Discussion Guide (31) All discussions were conducted in Indonesian, recorded and transcribed verbatim and translated into English for analysis. Analysis Descriptive statistics on the socio-demographic characteristics of the sample were tabulated. For the qualitative analysis, we used a thematic analysis approach ( 31 , 32 ). Initial codes were defined based on our analytical interest and previous research (REF). These deductive codes formed main themes, some of which matched an interview question ( 26 , 33 ). After coding three different transcripts using Nvivo software, three analysts used inductive analysis to identify new codes and subthemes. The codebook was refined and updated during the data analysis phase. For the quantitative assessments, the Likert scale used for each item (5 − 1, strongly agree, somewhat agree, neither agree or disagree, somewhat disagree, and strongly disagree) was recoded to agree (5 and 4), neutral ( 3 ), or disagree (1 and 2). For each item, the percentage of adolescents responding “strongly agree” or “somewhat agree” was calculated. Results Table 3 presents the sociodemographic characteristics of the study participants. The majority of participants’ mothers were housewives, with public employment and entrepreneurship being the next most common maternal occupation. Approximately half the sample’s mothers had completed high school, while 32% completed college or graduate school. In terms of paternal occupation, daily worker and private worker were the most common occupations, followed by entrepreneur and other professional. Fathers were more educated, with 33% having completed college and 43% holding a master’s degree or higher. Regarding household assets, the vast majority (87%) of participants’ families owned a motorbike, while 57% owned a car. Table 3 Sociodemographic characteristics of the sample N % Age group *12–15 23 50% 16–18 23 50% School level Senior 25 54% Junior 21 46% School type Public 18 39% Private 9 20% International 7 15% Vocational 7 15% Other 4 9% Missing 1 2% Maternal occupation Housewife 26 57% Daily worker 2 4% Public worker 8 17% Civil servant 1 2% Entrepreneur 7 15% Doctor and other professional 1 2% Missing 1 2% Paternal occupation Daily worker 13 28% Private worker 15 33% Public worker 4 9% Entrepreneur 9 20% Doctor and other professional 5 11% Maternal highest education Elementary 3 7% Junior high 3 7% Senior high 23 50% Bachelor's degree 7 15% Master's degree or higher 8 17% Missing 1 2% Paternal highest education Elementary 4 9% Junior high 1 2% Senior high 4 9% Bachelor's degree 15 33% Master's degree or higher 20 43% Missing 1 2% Assets: family owns car 26 57% Assets: family owns motorbike 40 87% Adolescent weekly pocket money < IDR 50,000 (IDR 350,000 (> $ 35, USD) 1 2% Footnotes: Daily worker (e.g., online driver, security, laundry); private worker (advertising, general manager, architecture Most participants reported frequently purchasing snacks. The most frequently consumed snacks and beverages included puff snacks made out of corn, rice, or wheat, potato chips, bread, biscuits, flavoured dairy products, and ready-to-drink teas. Table 4 depicts the nine themes and 34 sub-themes identified in the qualitative analysis. Table 4 Themes and sub-themes from qualitative discussions Section Theme Sub-theme Food purchasing decisions Product packaging Cartoon characters Nutrition information (front and back) Ingredients Health/nutrition claims Attractiveness Product characteristics Brand/name Flavor Price Discount or promotion Advertising (not related to packaging) Endorsement Product perceptions Taste Familiarity Convenience Coolness Healthfulness Purchased by friends or family FOPL reactions Visibility and memorability Visibility Memorability Ability to recall the label Comprehension Ability to understand the purpose of the label Overall understanding of label’s meaning (what it says about the product) Other label reactions Believability Cultural appropriateness Target population of the label Perceived effectiveness Potential effect on product attitudes Potential effect on intentions to purchase Perceived benefits and harms Likelihood to use FOPL comparison FOPL comparison Selection of which FOPL was perceived as most effective Alternative design comparison Label or design preference Attractiveness and memorability Informational Perceived effect on purchasing decisions Overall preference Main factors influencing snack purchasing decisions Figure 2 shows the top factors influencing snack purchasing decisions reported via the forms. All groups mentioned price and taste as an important determinant influencing food purchases; a third of participants reported them as top factors. Nutrition information and brand were less important (reported as the top factor by 13% and 9% respectively), as were other factors, such as presence of characters in the package, familiarity with the product, and whether the product was liked or requested by family members (13% total). During the discussion, participants reiterated the importance of taste and price as primary factors influencing purchasing decisions and highlighted the importance of obtaining good value for money for their purchase. For instance, they reported not seeing the value of purchasing expensive snacks, when cheaper options also have good taste and quality; or buying snacks with a higher price tag and smaller quantities that might not be filling. “Even expensive snacks do not always taste good, so why buy expensive snacks when there are cheap ones that also taste good?” (13-y old girl, FGD 8) “For example, a big bag of Lays is a fourth of chips and the rest is air. So the food itself is not enough.” (14-y old boy, FGD3) Some participants mentioned during the discussion reading the nutritional information for selecting snacks. Those who did were generally more health-conscious, often due to reasons such as practicing sports or following a diet. Few adolescents understood the meaning of the nutrition information on the nutrition facts panel, or how to use this to determine whether a product was good for their health. One of the participants who read the nutrition labels mentioned: “I mostly pay attention to carbohydrate, protein, as well as saturated fat and the total. […] Like you just want to know the amount but you don't know if it's high or low. I trust nutritionists more. I was told to pay attention to labels when I shop for snacks.” (17-y old girl, FDG 2). Additional factors discussed that influenced purchasing decisions encompassed the presence of Halal labels (indicating compliance with Islamic dietary laws), expiration date, and recommendations from friends. “For example, if [name] has already bought it, he'd say, "Hey, man, give it a try. It's good, man." So I've tried it, and it's good. But, for instance, maybe I've already taken it or was about to buy it, and then he says, "Hey, man, not that one, man. It's not good." It's like that, definitely like that.” (16-y old boy, FGD 5) Mood and cravings and the budget available for purchase were also noted as influential elements in their decision-making process. Within one group, a female participant highlighted the eco-friendliness of products as a factor, favoring those with paper straws or no straws. Product packaging and marketing elements Participants paid attention to packaging and were attracted to products that were considered “cool” or aesthetically pleasing. Design preferences varied by age group, although attractive package colors were important to all. Older adolescents were more attracted to minimalist designs and designs that implied luxury or exclusivity, while younger children were more attracted to packages with characters, sports or celebrities, or games. Perceived healthiness of snacks Only a few participants were able to articulate the distinction between healthy and unhealthy products. Unhealthy products were identified based on various factors, including their ingredients, flavors, nutritional content, food safety, and freshness. Certain participants deemed products with elevated levels of calories, sugar, sodium, monosodium glutamate (MSG), preservatives, oils, or spiciness as unhealthy. On the other hand, others considered products that were stale, nearing or past their expiration dates, or obtained from unhygienic sources to be unhealthy. A subset of participants also recognized the link between consuming foods high in sugar or salt and the development of chronic conditions like hypertension or diabetes. Conversely, participants characterized healthy products as those containing specific ingredients like seaweed or milk, having particular nutritional qualities such as higher protein or fiber content, or belonging to specific food categories like bread. Additionally, perceptions of healthfulness were influenced by attributes like being Halal, not being overly tasty or filling, or being on the more expensive side. Furthermore, participants' views on healthiness were shaped by advertising and packaging, encompassing factors like product colors, with green been associated with healthiness, and nutritional claims. One participant mentioned: “It’s because just from the advertising you’re already convinced. Like, you want to have a snack but you don’t want to gain weight, so you snack on a FitBar. And then from the packaging too, from, what, the packaging makes this impression that it’s super healthy. The color is green. And there’s, what is it, the phrase ‘low-fat’”. (17-y old boy, FGD 5) Reactions to FOPLs Table 5 shows the quantitative ratings on reactions to FOPLs. Overall, most participants considered that each of the three FOPL types was easy to see, memorable, and believable. They particularly took note of the warning label’s black color, its simple design, exclamation point, and the word `warning´, which elicited a sense of danger, fear, or threat in some individuals. Table 5 Participant reactions to FOPLS: percent who agreed or strongly agreed with each statement (n = 46) The label is… Warning Traffic Light Healthy Icon Easy to see 83% 83% 72% Memorable 67% 67% 76% Believable 65% 76% 74% Makes me stop and think 67% 57% 52% Is relevant 67% 67% 59% Helps me identify unhealthy food 87% 80% 72% Makes me concerned about purchasing unhealthy food 52% 37% 37% Discourages unhealthy purchases 35% 35% 37% Decreases intentions to purchase unhealthy food 28% 26% 28% Exact item wording and responses can be found in Appendix B. In general, participants were drawn to the TLL’s design, described as catchy, “cool,” and memorable. Although the healthier choice icon received the highest rating for memorability (76% of participants), the ensuing discussion revealed that participants viewed this label as the least visible, difficult to notice, uninteresting, or unattractive. One participant elaborated on how the green label blended in with the product's packaging: “The color of the packaging is sometimes green and the color of the checkmark is also green, so there's not enough contrast.” (14-year old girl, FDG 3) The TLL and healthier icon were the most believable labels (76% and 74%, respectively). Elements of the TLL that made it believable and trustworthy included its colors, design, and display of numeric information. Some participants considered the warning label too intimating, frightening, or aggressive to be believable; others found it misleading, as they did not believe that any food product could pose a danger to adolescent health. Interestingly, participants suggested adding a government endorsement (e.g., the Ministry of Health or National Agency of Drug and Food Control) to make the warning label more believable. Furthermore, some deemed the healthier choice logo unbelievable when displayed on packages of product perceived as unhealthy, such as sweetened milk, instant noodles, crips or chips. Most participants considered that the warning label made them stop and think (67%), helped them identify unhealthy food (87%), and made them concerned about purchasing unhealthy food (52%). They understood the warning label and its purpose, describing it as a means to inform consumers that a product contains high amounts of nutrients of concern (e.g. sugar, saturated fat, fat). Participants recognized the label as a “warning” intended to make them stop and think, though it would not necessarily discourage purchases. Warning labels would help them identify whether a product was unhealthy or not. Although most participants considered that the TLL would made them stop and think (57%) and helped them identify unhealthy food (80%), few believed the label would made them concerned about purchasing unhealthy food (37%). Most understood the meaning of the colors of the TLL, and some considered the label would help them determine if a product was healthy or unhealthy. However, some did not understand the meaning of the colors and/or found the numeric information provide in the label to be confusing. Green is like, green is still safe. Yellow is fine, but not too often. If it’s red you shouldn’t have it often (boy, 16, public school). I don’t understand what the percentages mean either (…). It’s not really important, and I’m too lazy to read. The important thing is the warning (Boy, 15, public school). Overall, few participants agreed that any of the three label types would make them not want to buy unhealthy foods (35–37% of participants) or discourage them from purchasing unhealthy foods (26%-28% of participants). Boys were less likely to report that any label would be effective at changing their behavior. They perceived the labels as being for someone else (e.g., possibly peers, but only if they were on a diet or conscious about their health; parents would also be receptive to the label, and young children who are open to learning about healthy eating). Girls, on the other hand, were more open to the influence of the labels in their purchasing behaviors. Opinions about the labels’ influence on their snack purchasing behaviors were mixed. Warning labels appeared to exert a slightly stronger influence compared to other labels. Their clear and simple message and alarming connotation prompted a call to action. “Because people who don't understand much can immediately get to the point. The warning is good for people who don't want the hassle.” (15-year old girl, FGD3) Some individuals found this label to be ‘frustrating’ because it restricted their choices and felt like it was ‘telling them what to do’. These individuals expressed a desire to rebel against such label by purchasing the product. One participant mentioned its resemblance to the cigarette warning labels and explained: “It's like, you know… there's a [...] cigarettes have warning label, right? I think it's kind of like that. It won't necessarily, completely stop people from buying it. But at least it'll make people think and consider like, oh, this is what I'm getting myself into. [...] a little bit guilty.” (18-y old boy, FGD1) Some participants appreciated the positive nature of the healthier choice logo, noting that it could help them identify what products were healthy, particularly for those wishing to have a healthier lifestyle. While some considered that this label would help them choose healthier products, most characterized the label as not noticeable, too simplistic, and without any ability to make them stop and think or influence their behavior. FOPL Design Participants commented on each FOPL’s design as well as compared it to other versions of the same FOPL (e.g., with different shapes or colors). For warning labels, the word “WARNING” and the exclamation point were the design features that stood out the most. Participants considered that the black color enabled contrast and was easy to read. On the other hand, red was better at signaling warning, but was distracting or hard to read because it blends in with the package. Participants perceived that the harsher the outline shape was, the scarier it is, in comparison to the rounder outline. Reactions to the use of an icon varied by SES: while lower SES participants preferred warnings with icons, higher SES described them as distracting. Some expressed that the icons helped make the label seem friendlier or less scary. Overall, adolescents found the design of the TLL most attractive (e.g., it was ‘cool’ or ‘exciting). They found the colors especially attractive and enticing, although some pointed out that they blended in with the package. Reactions to shape were mixed (some preferred circles while others preferred squares). Similar to the warning, reactions to icons were mixed, with low-SES participants more likely to prefer icons while high-SES participants preferred more simplistic designs. Finally, participants found the healthy check icon to be too small in size, with too small font, and that while they understood that the green color signaled healthy, it blended in with packages. When comparing the check to the heart, participants felt the heart was childish, unclear in meaning, and “weird.” FOPL comparison Table 6 presents the participants’ selection of their preferred label. The largest proportion of participants chose the TLL as most attention-grabbing (41%) and most helpful in identifying unhealthy products (67%). Meanwhile, the highest proportion of participants selected the warning label as most likely to discourage purchases of unhealthy products (46%), followed by the traffic light (41%). Table 6 Selection of FOPL most likely to grab attention, help identify unhealthy products, or discourage purchase of unhealthy products (n = 46) Warning Traffic light Healthy icon All are the same Grabs attention 28% 41% 28% 2% Identify unhealthy products 26% 67% 7% 0% Discourages purchase of unhealthy products 46% 41% 19% 2% Exact item wording and responses can be found in Appendix B. During the discussion, participants perceived the warning label as highly attention-grabbing and appreciated its simplicity. However, they found it less visually attractive as compared to the TLL. Warnings were seen as conveying a negative tone, while TLL were considered more positive, ‘friendly’, educational, and informative. At the same time, participants found warnings to be clearer and easier to understand due to their simplicity, whereas the traffic light label was harder to understand, particularly for younger or less educated individuals. The healthy icon was perceived as the least useful because it exclusively referred to healthy products. Although a few participants noted that the warning label evoked a sense of rebellion, it was the label most commonly mentioned as likely to decrease purchases of unhealthy foods due to its simplicity and negative connotation. Discussion Main findings In this set of focus groups of Indonesian adolescents aged 12-18y, adolescents revealed that price and taste, rather than nutrition considerations, were the primary drivers of food purchasing decisions. When evaluating FOPLs, adolescents expressed a preference for the TLL, finding them more attractive and believable, and viewing them as more informative. However, despite liking the information conveyed by TLL, a major drawback was that the information was not well understood, particularly by participants with low SES, making it unlikely to influence their purchasing behavior. In contrast, adolescents reported that warning labels effectively grabbed their attention, were well understood, and were most likely to discourage them from buying unhealthy foods, representing crucial steps along the conceptual pathway to behavioral change. Nevertheless, warnings were the least favored and believable label. Finally, while adolescents liked the healthy check, appreciating its positive signaling rather than a negative one, it was the least noticeable FOPL. The healthy check label was perceived as the least likely to discourage purchases of unhealthy packaged foods. Main factors influencing snack purchasing decisions and implications for reactions to FOPL Price, taste and value for money consistently emerged as top drivers of food choice, consistent with previous research on both adolescents and adults ( 7 , 34 ). Nutrition information was not a top driver of choices, and adolescents were not likely to use or understand existing nutrition labels. The low rate of nutrition label use was anticipated due to the lack of salience of nutrition information in the package and the absence of guidance on how to interpret it. Interpretive FOPLS can help address this issue by capturing adolescents’ attention to nutrition information and offering guidance on the subsequent purchasing decision (e.g., recommendations or warnings) ( 11 ). Although some adolescents understood the link between nutrients like sugar or sodium and health, there was a limited understanding of the relationship between nutrition and chronic disease outcomes. Specifically, adolescents did not perceive nutrition as an important factor for them, a perception that influenced their reactions to the FOPLs. Indeed, across FOPL types, adolescents expressed the view that FOPLs were intended for “someone else,” i.e., younger children, parents, or individuals concerned about nutrition or health—but not them. Some participants, particularly boys, reported that they were unlikely to pay attention to or use FOPLs, likely due to this lack of knowledge or interest in nutrition. Previous research has found that high health consciousness increases adolescents’ responsivity to messaging about nutrition labels ( 35 ). In addition, risk perceptions are an important predictor of health behavior in adolescents ( 36 ). Tobacco research has demonstrated the effectiveness of mass media campaigns in changing risk perceptions ( 37 ) and driving behavioral change ( 38 ) in adolescent populations. This suggests that a potential strategy to increase receptivity to FOPL messages is to integrate tailored communication campaigns within the FOPL intervention aimed at raising awareness about the association between poor nutrition and health risks among adolescents. Social norms, approval, and interaction were not mentioned as a top driver of food purchases. Social norms and social approval have a strong influence on specific health-related behaviors ( 39 ), and this is likely to be especially heightened during adolescence. Furthermore, social norms play an important role for food choice in the presence of peers ( 40 ). Participants may not have explicitly mention social norms or interactions as a main driver of purchases as these factors might operate at a subconscious level, making them unaware of their influence on purchasing decisions. Moreover, the alterations in lifestyle brought about by the recent COVID-19 pandemic ( 41 ) likely led to a decrease in social interactions associated with snacking. Social interactions play a role in certain mechanisms through which labeling systems, particularly warning labels, can exert their influence. Research from tobacco labeling has shown that increased conversations about warning labels correlate with behavior change ( 42 ). Understanding how social interactions influence interpretation and use of FOPLs is important, especially considering that adolescents frequently encounter FOPLs in the company of their peers (e.g., when purchasing snacks with their friends at the minimarket, warung or at school). Labels that stimulate social interaction may be more likely to bring about changes in purchasing behavior ( 42 ). Hence, delving into the relationship between FOPL and social norms, approval, and interaction, and how these factors collectively influence product selection, merits further exploration within this demographic. Although adolescents rated both the TLL and warning label as easy to see, easy to recall, memorable, and likely to help them identify unhealthy foods, there were several notable differences between FOPLs. The finding that participants considered TLLs more informative than warnings, but that warnings were easier to understand, is consistent with previous literature ( 43 ). This is likely due to the complex and extensive information presented to participants on the TLL. In addition to the numeric information, which participants found confusing, TLLs can sometimes present contradictory information (e.g., a product is high in one nutrient of concern but low in another), requiring consumers to analyze all the information to assess a products’ healthfulness. Indeed, previous qualitative research on labeling has found that consumers have difficulty understanding and interpreting amounts and percentages on FOPLs ( 44 ). This poses a challenge since most consumers make decisions about food very quickly (in seconds) ( 45 ), and often make snap decisions without deeply processing the provided information ( 46 ). In addition, while other studies have found that the color-coding (red/yellow/green) helps facilitate interpretation of TLLs ( 44 ), this study found that certain participants were confused by the colors, suggesting that this approach may not work well with adolescent populations. Adolescents liked the TLL the most out of all FOPL types. They found the design appealing, cool, and interesting, and they liked that the label didn’t tell them what to do (compared to warning labels). These results are consistent with previous literature: people do not like warning labels as much as other label types ( 43 ), yet despite this, in experiments, warnings are frequently found effective at changing behavior ( 13 ). In this study, although the warnings were less well-liked, adolescents reported that warnings were well-understood and more likely to make them stop and think and to influence their purchases. Consistently, a recent study found that among youth, mandated warning labels in Mexico and Chile had substantially higher levels of awareness, use, and understanding than the voluntary TLL in the UK ( 47 ). Participants liked the simplicity of the TLL label, and considered that the warnings provided a clear message of danger or warning that would make them stop and think. This “stopping and thinking” is important because it disrupts subconscious processes that lead to impulsive purchasing decisions or ingrained patterns of purchasing. Indeed, previous evidence from tobacco warnings has found that making people think is a key mediator on the pathway between label exposure and behavioral change ( 48 ). The fact that warning labels also grabbed participants attention is critical because FOPL must be able to cut through the many other design elements on the packages that are designed to capture their attention ( 49 ), and be quickly and accurately understood. The adolescents indicated that they were attracted to many other packaging elements, so “attention-grabbing” is important for an effective FOPL design in this population. Nevertheless, a recent study showed that high level of awareness found in Chile and Mexico regarding the warning label, in contrast to lower levels related to TLL in UK likely reflected differences in mandated policies in Chile and Mexico versus voluntary UK policies ( 47 ). This implies that the mandatory nature of the label plays a significant role in use of the label ( 43 ), and may have a more significant influence than the attention-grabbing aspect. Warning labels elicited more negative emotions than other FOPLS. An increase in negative affect is consistent with the conceptual pathway for how warning labels change behavior ( 50 ) as well as theoretical and empirical research from tobacco warnings, which have found that negative affective reactions to warnings are a key trigger for eliciting behavioral change ( 48 , 51 , 52 ). Negative affect can help people process risk information ( 53 ) and also create more negative attitudes towards products ( 39 ). However, some participants indicated that the labels were less believable, misleading, or extreme for characterizing a product as dangerous. One possible explanation for this was participants’ low awareness about the health harms of foods high in sugar, sodium, or saturated fat. For example, previous work in tobacco has found that when adolescents have low awareness about a product’s health harms, they find messaging about it less believable ( 54 ). Communication campaigns about unhealthy foods and health harms could help increase knowledge and awareness, increasing the believability of warnings about unhealthy foods. Another option is to add a government endorsement on the warning label itself. According to the Elaboration Likelihood model, the source of a message can serve as a cue of message quality and influence attitudes, particularly for messages processed on the periphery of consciousness, such as food labels ( 46 ). Indeed, in the focus groups many adolescents noted that a government endorsement would help increase believability and trustworthiness, although empirical evidence about the effectiveness of including a government source in warnings is mixed ( 55 ). Similar government endorsements have been used in other real-world food warning label systems, including in Chile and in Mexico, and thus warrant further investigation in Indonesia as well. Another concern with the warning labels is reactance, which is defined as resistance to a message in response to a perceived threat to freedom ( 56 , 57 ). Some older participants noted that the label was telling them what to do, which made them want to rebel against it. This response makes sense in the context of adolescent psychological development: adolescents desire independence and have a tendency to reject authority, meaning that FOPLS like warnings that are perceived to restrict their freedom are more likely to be rejected ( 58 ). Currently, there is little understanding of the impact of nutrient warnings on reactance in adolescent populations, or how this is associated with impact on food purchasing behaviors. Evidence from tobacco in adolescent and adult populations has found that graphic warnings lead to more reactance than text-based warnings ( 59 , 60 ), suggesting that text-based nutrient warnings such as those used in this study may not elicit high levels of reactance. In addition, other tobacco control research suggests the of reactance on behavioral change is small( 51 ) and may even increase behavioral intentions (e.g., quit attempts) in response to warnings ( 61 ). On the other hand, reactance increases with age ( 58 ), and other FOPL elements that work well on one dimension can also increase reactance. For example, previous research has found that among adolescents, government endorsements increase credibility can also be perceived as domineering, which can in turn increase reactance ( 59 ). Researchers should further investigate reactance to nutrient warning labels in this population, including how the use of different types of messages (e.g., implicit vs. explicit) or design features consider reduce reactance ( 62 ). Warning labels appeared to be more likely to discourage adolescents from purchasing unhealthy packaged foods than other label type; however, adolescents overall did not seem to think any FOPL would be particularly effective at changing their behavior. This was reflected quantitatively as well as qualitatively, as participants rated all FOPLs low on perceived message effectiveness, or how much the labels make them concerned about purchasing unhealthy foods and discourages them from buying them. Perceived message effectiveness is predictive of behavior ( 62 ), which suggests that FOPLS may be less likely to affect purchasing decisions of adolescents. In addition, boys were less receptive to all FOPL types than girls, which may reflect underlying differences in interest in nutrition ( 24 ) or behaviors, as Indonesian girls are more responsible for food purchases and home cooking ( 9 ). Future research is needed to understand whether FOPLs would actually impact adolescents’ food purchasing behavior in this context, as well as potential differences by gender. Finally, the healthy check FOPL was perceived as the overall least noticeable or effective label. One possible explanation for this is that the healthy check contains less information than the other FOPLs tested, which is consistent with previous qualitative research finding that healthy icons were less acceptable because they do not provide information on specific ingredients or nutrients ( 44 ). In addition, some participants were confused that the healthy check FOPL appeared on products such as sweetened milk, which they perceived as unhealthy. Although the current Indonesian guidelines permit use of the healthy icon on sweetened milk, this finding underscores the importance of using a strong nutrient profiling model that correctly classifies products as healthy or unhealthy, and labeling them as such. The use of the check on unhealthy products can give them a ‘health halo’ effect, leading consumers to misjudge their nutritional quality and potentially consume even greater quantities than they otherwise would ( 63 , 64 ). With regards to FOPL design, several patterns emerged across FOPL type. First, icons tended to be most useful for low-SES groups, who considered that icons enhanced comprehension, but not for high-SES groups, who preferred more simplistic designs. In addition, adolescents liked the use of colors such as red (for signaling unhealthy) or green (for signaling healthy), and found them attractive, but also reported that this made it more difficult to distinguish the FOPLs from the package. With regards to warning labels in particular, the use of the word “WARNING” and the exclamation mark were memorable and indicated danger, consistent with previous studies ( 26 , 27 , 65 ) some adolescents suggested these design elements be used for the red-labeled nutrients on the TLL as well. Taken together, these results suggest that if colors are used, design elements like a holding strip or white border should be used to ensure adequate contrast with product packaging, and that elements like “warning” are particular useful to signal unhealthy. This study had several strengths and limitations. A strength of this study is that it sought to test adolescents’ reactions to FOPL with a focus on specific steps on the conceptual pathway from FOPL exposure to behavioral change. However, at the same time, the study relied on self-reported perceptions, which may not completely predict behavioral response. In addition, participants evaluated labels on a small subset of products, which does not represent the wide array of products available on the Indonesian food supply nor the complex food retail environment in which adolescents make decisions. Future experimental research would be useful in understanding how FOPLs impact adolescents’ food purchasing behaviors in a more realistic environment. Conclusions Based on the results of this qualitative study of Indonesian adolescents, traffic light and warning labels hold promise for helping adolescents identify unhealthy foods and discourage purchases of these products, while healthy icons are perceived as less effective. While TLL were better liked and considered more attractive and more believable, warning labels were perceived as more attention-grabbing, more likely to make participants stop and think, and more likely to influence purchases. Future research is needed to understand whether FOPLS will impact adolescents’ food purchasing behaviors and whether there are differences by gender or SES. Additionally, enhancing the efficacy of Front-of-Pack Labels (FOPLs) in real-life settings requires the identification of complementary interventions aimed at raising awareness and promoting the utilization of FOPLs. This is crucial for formulating a comprehensive policy action. Declarations Acknowledgements We thank Stephanie Momanyi and Dhara Buebel for support with manuscript formatting. We thank Makoma Bopape for sharing example focus group discussion guides. Funding: This research was primarily funded by Global Alliance in Nutrition. This research was also supported by Bloomberg Philanthropies. Author Disclosures: No authors had any conflicts of interest to report. 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Taillie","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAArklEQVRIiWNgGAWjYFACxsYDDwwY5CAcNiI08DAwNhxIMGAwJkULA8OBBAaGxAaitdizHwbaUmCTvuF28wOGD2WHibCFJxHksLTcDXeOGTDOOEeMFgawlsO5G27kMDDzthGjhf8hSMv/dAOQlr9EaZEA2wJEIC2MRGm5AbYl2XDmjTSDgz3n0glrYe9Pf/jgwx87eb4byQ8f/CizJqwFBRwgUf0oGAWjYBSMAlwAAJtjP0bkijdMAAAAAElFTkSuQmCC","orcid":"","institution":"The University of North Carolina at Chapel Hill","correspondingAuthor":true,"prefix":"","firstName":"Lindsey","middleName":"S.","lastName":"Taillie","suffix":""}],"badges":[],"createdAt":"2024-10-01 13:55:13","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-5187834/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5187834/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":66326307,"identity":"9a054d74-d490-4f3d-a783-5a2e350473a2","added_by":"auto","created_at":"2024-10-10 12:54:26","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":169638,"visible":true,"origin":"","legend":"\u003cp\u003eImages of FOPLS tested in this study\u003c/p\u003e","description":"","filename":"IndonesiaFOPFigure1.png","url":"https://assets-eu.researchsquare.com/files/rs-5187834/v1/3b7d5e70fd1816a5af74bde8.png"},{"id":66326309,"identity":"a3ea0ce3-f2e2-40af-99b3-0b7f98f09dc7","added_by":"auto","created_at":"2024-10-10 12:54:26","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":35320,"visible":true,"origin":"","legend":"\u003cp\u003eTop-rank factors driving food purchasing decisions (percent selecting fact)\u003c/p\u003e","description":"","filename":"IndonesiaFOPFigure2.png","url":"https://assets-eu.researchsquare.com/files/rs-5187834/v1/0ff4142d4803d8eb1a236c77.png"},{"id":66326930,"identity":"93a42332-f14c-4fba-978c-739702ce8727","added_by":"auto","created_at":"2024-10-10 13:02:27","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1057022,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5187834/v1/20edd299-5fb5-42b3-8b62-4abd1324c391.pdf"},{"id":66326306,"identity":"d22b4fbf-aabf-4a42-9a5a-e5bed5c7dca1","added_by":"auto","created_at":"2024-10-10 12:54:26","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":30716,"visible":true,"origin":"","legend":"\u003cp\u003eAppendix\u003c/p\u003e","description":"","filename":"IndonesiaFOPLAppendix.docx","url":"https://assets-eu.researchsquare.com/files/rs-5187834/v1/33e019e0e77c40c8c769f57e.docx"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eIndonesian Adolescents’ Perceptions of Front-of-package Labels on Packaged Food and Drinks\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eIn Indonesia, a significant public health issue among adolescents is the high prevalence of undernutrition and micronutrient deficiencies coupled by rapidly increasing rates of overweight and obesity (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e). Adolescence is a particularly vulnerable period of biological development, characterized by rapid growth with increased demands for nutrients and energy (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). Poor nutrition during this period can impact adolescents\u0026rsquo; growth and lead to negative consequences for health in adulthood (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e). Unhealthy dietary behaviors are also cause for concern, particularly as dietary preferences and behaviors established early in life tend to persist into adulthood (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAt the same time as they undergo rapid physical changes, adolescents in Indonesia are also experiencing rapid changes in their food environment. As in other low- and middle-income countries, increasing incomes, urbanization, and the expansion of the processed food industry have increased access to ultra-processed foods, including sugar-sweetened beverages and other industrially produced products that tend to be low in beneficial nutrients and high nutrients of concern such as sugar, sodium, and saturated fat (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). Increased autonomy and agency along with the strong desire for belonging creates circumstances that foster a rise in unhealthy dietary behaviors (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). Indonesian adolescents practice more frequent snacking and increased consumption of food away-from home, with higher intakes of fast food, fried foods and snacks, soft drinks, and ultra-processed food, and overall poor dietary diversity (\u003cspan additionalcitationids=\"CR9\" citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e). A recent qualitative study of Indonesian adolescents found that they were increasingly purchasing their own snacks and meals, at schools, at work, and at vendors (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn the context of a rapidly changing food environment characterized by high levels of ultra-processed food, a high prevalence of marketing of these products to children and adolescents, and the widespread use of price promotions and other strategies to promote these products, front-of-package labels (FOPLs) have emerged as a promising strategy to help consumers make healthier food choices. Interpretive FOPLs, which provide a qualitative assessment or recommendation about the product in addition to summarizing its nutrition information, are especially promising. Among the most commonly tested label types are traffic light labels (TLL), which include color-coded and numeric information about specific nutrients of concern; warning labels, which indicate that a product is high in nutrients of concern; and positive \u0026lsquo;healthy\u0026rsquo; logos, which indicate that a product is \u0026lsquo;healthy\u0026rsquo; according to some pre-specified set of nutrient criteria (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e). Of these label types, the warning label is perhaps the best studied to date, with multiple recent systematic reviews showing that warnings reduced selection of unhealthy food and drinks by 26\u0026ndash;36% (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e). In addition, evidence from Chile, the first country to implement a system of warning labels, found that the labels decreased purchases of unhealthy foods (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e) and changed mothers\u0026rsquo; and children\u0026rsquo;s perceptions about these products (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e). In contrast, there is limited real-world data about the effectiveness of other common interpretive FOPLs, such as positive icons or TLL (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). Real world evidence on TLL systems has been mixed, with one study from the UK finding a sizeable reduction in calories purchased linked to the traffic light policy (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e), while another study found no association with purchases (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e). With regards to positive logos, some evidence suggests that they are linked to product reformulation (\u003cspan additionalcitationids=\"CR19\" citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e). Experimental evidence is mixed, but generally finds that positive logos are less effective than negative labels at influencing consumer perceptions, reactions, and choices (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e). One study found that a positive logo was linked to increased market share of logo-eligible products (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e), but otherwise there is little real-world data on their influence on consumer purchase.\u003c/p\u003e \u003cp\u003eDespite the growing evidence about FOPLs, a major gap in the literature is the lack of studies examining how adolescents perceive, understand, and use FOPL. There are unique considerations to adolescent development that affect how they make choices about food and thus their response to FOPLs. First, adolescents may be less motivated by nutritional or health concerns than other age groups, especially boys (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e). A recent qualitative study of 18 countries found that adolescents food choice were influenced by family, social media, and the internet, followed by television, friends, and marketing (e.g., branding, advertising, celebrity endorsements) (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e). Thus, it is important to understand whether adolescents\u0026rsquo; food choices would be influenced by FOPL, considering that the basic premise of FOPL is to help consumers better identify which products are more or less healthy. In addition, adolescence is a period of increasing autonomy, including desire to separate from one\u0026rsquo;s family and the influence of one\u0026rsquo;s parents. Healthy foods including fruits and vegetables and home-cooked meals may be associated with parents and home life, while unhealthy foods may be associated with pleasure, socialization, and independence (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). These factors may influence how adolescents react to different FOPLs that communicate healthfulness. Thus, a better understanding of what drives adolescent food choice and response to different FOPL types in the Indonesian context is needed to identify an effective FOPL for this population.\u003c/p\u003e \u003cp\u003eFinally, the evidence highlights the importance of different design features of FOPLS for ensuring consumers\u0026rsquo; understanding of labels. A recent study in South Africa focused on warning labels found that consumers preferred black triangles on a white background, the words \u0026ldquo;high in\u0026rdquo; and warning\u0026rdquo; in bold and uppercase text, an exclamation mark, and an icon depicting the excessive nutrient (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e). A similar study from the US found that the use of marker words and exclamation points increased perceived effectiveness of warnings (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e). Less is known about the impact of design features for traffic light labels or positive icons. Given adolescents\u0026rsquo; unique psychological profile, it is important to understand which design features are perceived as most effective.\u003c/p\u003e \u003cp\u003eThe objective of this study was to explore Indonesian adolescents\u0026rsquo; (a) drivers of food choice; (b) perceptions of different FOPLs; and (c) views on different design features that could influence the impact of FOPLs.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003eWe conducted eight focus groups between June 2nd and 4th, 2021. The total sample comprised 46 adolescents aged 12\u0026ndash;18 years from the Jakarta metropolitan region, Indonesia\u0026rsquo;s most populous area. Each focus group had 4 to 7 participants and lasted between 1.5 hours to 2 hours. Focus groups were stratified by gender and age group (12\u0026ndash;15 y and 16\u0026ndash;18 y groups).\u003c/p\u003e \u003cp\u003eWe purposively recruited participants from different socio-economic status (SES) (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). SES was defined by school location and type (government-subsidized, private, vocational and international school), with additional determinants based by The National Socioeconomic Survey (SUSENAS) such as parent\u0026rsquo;s education, parent\u0026rsquo;s occupation, weekly pocket money, number of vehicles (cars and motorcycles), household floor and wall type. Adolescents were recruited through digital ads, peer-to-peer recruitment, and in-person recruitment in selected areas of West Jakarta, East Jakarta, South Jakarta, and Depok. Written informed consent was given by each parent or guardian and participant prior to participation. The study was approved by the Ethical Committees of University Atmajaya, Jakarta with registration number 0030S/III/LPPM-PM.05.05/05/2021.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eStratification of focus group participants by location and SES\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGroups 1\u0026amp;2\u003c/p\u003e \u003cp\u003e(n\u0026thinsp;=\u0026thinsp;13)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGroups 3 \u0026amp;4\u003c/p\u003e \u003cp\u003e(n\u0026thinsp;=\u0026thinsp;12)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eGroups 5 \u0026amp; 6\u003c/p\u003e \u003cp\u003e(n\u0026thinsp;=\u0026thinsp;10)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eGroups 7 \u0026amp;8\u003c/p\u003e \u003cp\u003e(n\u0026thinsp;=\u0026thinsp;11)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSouth Jakarta\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEast Jakarta\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCentral Jakarta\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eWest Jakarta and Tangerang\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSES\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHigh-middle\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMiddle-low\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMiddle-low\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eLow\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStimuli\u003c/h2\u003e \u003cp\u003e \u003cem\u003eLabel Design\u003c/em\u003e: Three FOPLs were selected for testing: a traffic light label (TLL), warning label design and a healthier choice logo. While the latter was selected because it is displayed on a subset of product categories in Indonesia (\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e), the TLL and warning labels were selected based on their use for influencing purchasing behaviors in other populations. Images of the FOPLs are depicted in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e1. The warning label\u0026rsquo;s design was based on the warning label used in South Africa. It comprised one black diamond-shaped warning on a white background (with the text \u0026ldquo;WARNING\u0026rdquo; and an exclamation point) and up to four similar diamond-shaped warnings (with text, HIGH IN SUGAR, HIGH IN SODIUM, HIGH IN FAT or HIGH IN SATURATED FAT), written in Indonesian.\u003c/p\u003e \u003cp\u003e2. The TLL\u0026rsquo;s design was based on the voluntary system used in the UK (\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e). The label showcased information on a product\u0026rsquo;s energy and amount of fat, saturated fat, total sugar, and salt, using color codes - red, yellow or green \u0026ndash; to signal the nutrient content as high, medium, or low, respectively.\u003c/p\u003e\u003cp\u003e3. The Healthier choice label\u0026rsquo;s design was based on the icon used for selected instant pasta and noodles, and ready-to-drink beverages in Indonesia. The icon comprises an encircled green tick sign with the words \u0026acute;HEALTHIER CHOICE\u0026acute; written on top, and \u0026acute;Compared to similar products when consumed in fair quantities\u0026acute; at the bottom of the circle (\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eFor each label, we tested a set of alternate designs (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Participants were queried about a range of design elements, such as font size, color of label and \u0026lsquo;holding strap\u0026rsquo;, and the shape.\u003c/p\u003e \n\u003cp\u003e\u003cimg 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\" height=\"475\" width=\"673\"\u003e\u003c/p\u003e\n\u003cp\u003eTo enhance realism, we presented the labels within digital and physical mock-ups resembling real Indonesian snacks commonly preferred by adolescents. The selection of snacks was guided by interviews with four adolescents, two boys and two girls, living in Jakarta. This selection was cross-verified with a dataset detailing frequently consumed packaged foods by Indonesian adolescents. The product categories shown to participants were consistent across each type of label and encompassed biscuits, ready-to-drink beverages, chips or crisps, and instant noodles.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eNutrient profile models\u003c/strong\u003e \u003cp\u003eDifferent nutrient profile systems were used for each label type to determine the relevant information to display for each product. For instance, for the warning label, this encompassed determining the number and type of warnings to be included, and for the TLL, it involved deciding the color and numeric information for each nutrient. We used the Pan American Health Organization (PAHO) nutrient profile (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e) and the UK nutrient profile (\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e) for the warning label and TLL, respectively. For the healthier choice logo, we used the nutrient profile established in the Indonesian BPOM norm 22 (\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e). In each case, the nutrient profile model was applied to the real nutritional information of each product. As an exception, chips and biscuits for the healthier choice icon were rated using the PAHO nutrient profile, as BPOM norm 22 did not include cutoffs for these product categories during the study period.\u003c/p\u003e \u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eProcedures:\u003c/h3\u003e\n\u003cp\u003eTrained moderators from a market research company used a semi-structured focus group discussion guide prepared by the research team for collect data. First, participants completed a demographics questionnaire, including information on age, gender, school level, school type, parent\u0026rsquo;s education, and parent\u0026rsquo;s occupation. Then, participants alternated between completing an online questionnaire and participating in a moderated discussion. Both the questionnaire assessment and the moderated discussion comprised four sections: a) food purchasing decisions; b) reactions to each of the front-of-package labels; b) comparison of front of package labels (e.g., the TLL vs. the warning label vs. the healthier choice icon; and d) comparing alternative label designs for each front-of-package label type. During each section, the moderator displayed product mockups with the relevant label types for participants to observe during the ratings assessment and discussion. The full discussion guide is presented in \u003cb\u003eAppendix B\u003c/b\u003e.\u003c/p\u003e \u003cp\u003eIn the food purchasing decisions section, the group explored a) the most important factors influencing their purchasing decision; b) use of back-of-package nutrition information; c) use of front-of-package nutrition information; d) use of nutrition and health claims; e) appeal of product packaging and marketing elements (e.g., liking of cartoons or celebrities); f) consideration of price, healthfulness, and \u0026lsquo;coolness\u0026rsquo;; and g) meaning and potential use of government endorsement of front-of-package nutrition labels. In the section on reactions to FOPLs, participants explored a) visibility and memorability; b) comprehensibility; c) perceived effectiveness on attitudes towards products and purchasing behavior; and d) design elements of the label (e.g., which aspects of the FOPL were most memorable).\u003c/p\u003e \u003cp\u003eIn the comparative ratings section, participants were shown all three FOPLS and asked whether one label stood out and if so, why. Participants also discussed which label would most help them identify unhealthy foods and would most discourage them from buying unhealthy foods. Finally, in the comparative alternative label designs, participants were shown alternative designs of the FOPLS and discussed their a) visibility and memorability; b) comprehensibility; c) perceived effectiveness on attitudes towards products and purchasing behavior; and d) whether the alternations in the design influenced their intention to consume a product.\u003c/p\u003e\n\u003ch3\u003eQuestionnaire Measures\u003c/h3\u003e\n\u003cp\u003eThe Typeform platform on each participant\u0026rsquo;s phone was used to record questionnaire data.\u003c/p\u003e \u003cp\u003eTo examine drivers of food purchases, participants were asked to circle and rank the top five factors that were most important when making up their mind about a new food or drink. Responses included brand, price, presence of characters, promotions/gifts/discounts, flavor/taste, nutritional information, familiarity, convenience, recommendations by health professionals or institutions (e.g., ministry of health), advertisements, family preferences or requests, or nutrition/health claims.\u003c/p\u003e \u003cp\u003eParticipants were then shown product mock-ups with particular label, and asked to rate how much they agreed or disagreed that the label was a) easy to see; b) memorable; c) believable; d) made them stop and think; e) relevant; f) helped them know if foods/drinks are unhealthy; g) made them concerned about purchasing unhealthy foods/drinks; h) made them less likely to purchase unhealthy foods/drinks. Response options included strongly disagree, somewhat disagree, neither disagree nor agree, somewhat agree, or strongly agree. Actual wording for items and responses are shown in \u003cb\u003eAppendix C\u003c/b\u003e. The sequence in which the labels were presented differed across FGD.\u003c/p\u003e \u003cp\u003eAfter seeing all three labels, participants were asked to select which of the three options: a) was most likely to grab their attention; b) which one would help them tell which foods and drinks were unhealthy; and c) which one was most likely to avoid purchasing unhealthy foods or drinks (actual wording shown in Appendix D). Finally, in the comparative alternative label designs, we asked participants to observe three alternative design for each FOPL and select their preferred option.\u003c/p\u003e\n\u003ch3\u003eDiscussion Guide (31)\u003c/h3\u003e\n\u003cp\u003eAll discussions were conducted in Indonesian, recorded and transcribed verbatim and translated into English for analysis.\u003c/p\u003e\n\u003ch3\u003eAnalysis\u003c/h3\u003e\n\u003cp\u003eDescriptive statistics on the socio-demographic characteristics of the sample were tabulated.\u003c/p\u003e \u003cp\u003eFor the qualitative analysis, we used a thematic analysis approach (\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e). Initial codes were defined based on our analytical interest and previous research (REF). These deductive codes formed main themes, some of which matched an interview question (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e). After coding three different transcripts using Nvivo software, three analysts used inductive analysis to identify new codes and subthemes. The codebook was refined and updated during the data analysis phase.\u003c/p\u003e \u003cp\u003eFor the quantitative assessments, the Likert scale used for each item (5\u0026thinsp;\u0026minus;\u0026thinsp;1, strongly agree, somewhat agree, neither agree or disagree, somewhat disagree, and strongly disagree) was recoded to agree (5 and 4), neutral (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e), or disagree (1 and 2). For each item, the percentage of adolescents responding \u0026ldquo;strongly agree\u0026rdquo; or \u0026ldquo;somewhat agree\u0026rdquo; was calculated.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e presents the sociodemographic characteristics of the study participants. The majority of participants\u0026rsquo; mothers were housewives, with public employment and entrepreneurship being the next most common maternal occupation. Approximately half the sample\u0026rsquo;s mothers had completed high school, while 32% completed college or graduate school. In terms of paternal occupation, daily worker and private worker were the most common occupations, followed by entrepreneur and other professional. Fathers were more educated, with 33% having completed college and 43% holding a master\u0026rsquo;s degree or higher. Regarding household assets, the vast majority (87%) of participants\u0026rsquo; families owned a motorbike, while 57% owned a car.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSociodemographic characteristics of the sample\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge group\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e*12\u0026ndash;15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e50%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e16\u0026ndash;18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e50%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSchool level\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSenior\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e54%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJunior\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e46%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSchool type\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePublic\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e39%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrivate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInternational\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e15%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVocational\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e15%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMissing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMaternal occupation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHousewife\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e57%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDaily worker\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePublic worker\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e17%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCivil servant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEntrepreneur\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e15%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDoctor and other professional\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMissing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePaternal occupation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDaily worker\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e28%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrivate worker\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e33%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePublic worker\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEntrepreneur\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDoctor and other professional\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMaternal highest education\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eElementary\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJunior high\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSenior high\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e50%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBachelor's degree\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e15%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMaster's degree or higher\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e17%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMissing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePaternal highest education\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eElementary\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eJunior high\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSenior high\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBachelor's degree\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e33%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMaster's degree or higher\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e43%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMissing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAssets: family owns car\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e57%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAssets: family owns motorbike\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e87%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAdolescent weekly pocket money\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt; IDR 50,000 (\u0026lt;\u003cspan\u003e$\u003c/span\u003e3 USD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e35%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDR 50,000-100,000 (\u003cspan\u003e$\u003c/span\u003e3\u0026ndash;7 USD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e39%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDR 100,000-250,000 (\u003cspan\u003e$\u003c/span\u003e7\u0026ndash;17 USD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDR 250,000-350,000 (\u003cspan\u003e$\u003c/span\u003e17\u0026ndash;24 USD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026gt;IDR 350,000 (\u0026gt;\u003cspan\u003e$\u003c/span\u003e35, USD)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e \u003cp\u003eFootnotes: Daily worker (e.g., online driver, security, laundry); private worker (advertising, general manager, architecture\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eMost participants reported frequently purchasing snacks. The most frequently consumed snacks and beverages included puff snacks made out of corn, rice, or wheat, potato chips, bread, biscuits, flavoured dairy products, and ready-to-drink teas.\u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e depicts the nine themes and 34 sub-themes identified in the qualitative analysis.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eThemes and sub-themes from qualitative discussions\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSection\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTheme\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSub-theme\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFood purchasing decisions\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eProduct packaging\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCartoon characters\u003c/p\u003e \u003cp\u003eNutrition information (front and back)\u003c/p\u003e \u003cp\u003eIngredients\u003c/p\u003e \u003cp\u003eHealth/nutrition claims\u003c/p\u003e \u003cp\u003eAttractiveness\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eProduct characteristics\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eBrand/name\u003c/p\u003e \u003cp\u003eFlavor\u003c/p\u003e \u003cp\u003ePrice\u003c/p\u003e \u003cp\u003eDiscount or promotion\u003c/p\u003e \u003cp\u003eAdvertising (not related to packaging)\u003c/p\u003e \u003cp\u003eEndorsement\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eProduct perceptions\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTaste\u003c/p\u003e \u003cp\u003eFamiliarity\u003c/p\u003e \u003cp\u003eConvenience\u003c/p\u003e \u003cp\u003eCoolness\u003c/p\u003e \u003cp\u003eHealthfulness\u003c/p\u003e \u003cp\u003ePurchased by friends or family\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFOPL reactions\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eVisibility and memorability\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eVisibility\u003c/p\u003e \u003cp\u003eMemorability\u003c/p\u003e \u003cp\u003eAbility to recall the label\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eComprehension\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAbility to understand the purpose of the label\u003c/p\u003e \u003cp\u003eOverall understanding of label\u0026rsquo;s meaning (what it says about the product) \u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eOther label reactions\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eBelievability\u003c/p\u003e \u003cp\u003eCultural appropriateness\u003c/p\u003e \u003cp\u003eTarget population of the label\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePerceived effectiveness\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePotential effect on product attitudes\u003c/p\u003e \u003cp\u003ePotential effect on intentions to purchase\u003c/p\u003e \u003cp\u003ePerceived benefits and harms\u003c/p\u003e \u003cp\u003eLikelihood to use\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFOPL comparison\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFOPL comparison\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSelection of which FOPL was perceived as most effective\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAlternative design comparison\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLabel or design preference\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAttractiveness and memorability\u003c/p\u003e \u003cp\u003eInformational\u003c/p\u003e \u003cp\u003ePerceived effect on purchasing decisions\u003c/p\u003e \u003cp\u003eOverall preference\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch3\u003eMain factors influencing snack purchasing decisions\u003c/h3\u003e\n\u003cp\u003eFigure \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows the top factors influencing snack purchasing decisions reported via the forms. All groups mentioned price and taste as an important determinant influencing food purchases; a third of participants reported them as top factors. Nutrition information and brand were less important (reported as the top factor by 13% and 9% respectively), as were other factors, such as presence of characters in the package, familiarity with the product, and whether the product was liked or requested by family members (13% total).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eDuring the discussion, participants reiterated the importance of taste and price as primary factors influencing purchasing decisions and highlighted the importance of obtaining good value for money for their purchase. For instance, they reported not seeing the value of purchasing expensive snacks, when cheaper options also have good taste and quality; or buying snacks with a higher price tag and smaller quantities that might not be filling.\u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;Even expensive snacks do not always taste good, so why buy expensive snacks when there are cheap ones that also taste good?\u0026rdquo; (13-y old girl, FGD 8)\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;For example, a big bag of Lays is a fourth of chips and the rest is air. So the food itself is not enough.\u0026rdquo; (14-y old boy, FGD3)\u003c/em\u003e \u003c/p\u003e \u003cp\u003eSome participants mentioned during the discussion reading the nutritional information for selecting snacks. Those who did were generally more health-conscious, often due to reasons such as practicing sports or following a diet. Few adolescents understood the meaning of the nutrition information on the nutrition facts panel, or how to use this to determine whether a product was good for their health. One of the participants who read the nutrition labels mentioned:\u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;I mostly pay attention to carbohydrate, protein, as well as saturated fat and the total. [\u0026hellip;] Like you just want to know the amount but you don't know if it's high or low. I trust nutritionists more. I was told to pay attention to labels when I shop for snacks.\u0026rdquo; (17-y old girl, FDG 2).\u003c/em\u003e \u003c/p\u003e \u003cp\u003eAdditional factors discussed that influenced purchasing decisions encompassed the presence of Halal labels (indicating compliance with Islamic dietary laws), expiration date, and recommendations from friends.\u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;For example, if [name] has already bought it, he'd say, \"Hey, man, give it a try. It's good, man.\" So I've tried it, and it's good. But, for instance, maybe I've already taken it or was about to buy it, and then he says, \"Hey, man, not that one, man. It's not good.\" It's like that, definitely like that.\u0026rdquo; (16-y old boy, FGD 5)\u003c/em\u003e \u003c/p\u003e \u003cp\u003eMood and cravings and the budget available for purchase were also noted as influential elements in their decision-making process. Within one group, a female participant highlighted the eco-friendliness of products as a factor, favoring those with paper straws or no straws.\u003c/p\u003e\n\u003ch3\u003eProduct packaging and marketing elements\u003c/h3\u003e\n\u003cp\u003eParticipants paid attention to packaging and were attracted to products that were considered \u0026ldquo;cool\u0026rdquo; or aesthetically pleasing. Design preferences varied by age group, although attractive package colors were important to all. Older adolescents were more attracted to minimalist designs and designs that implied luxury or exclusivity, while younger children were more attracted to packages with characters, sports or celebrities, or games.\u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003ePerceived healthiness of snacks\u003c/h2\u003e \u003cp\u003eOnly a few participants were able to articulate the distinction between healthy and unhealthy products. Unhealthy products were identified based on various factors, including their ingredients, flavors, nutritional content, food safety, and freshness. Certain participants deemed products with elevated levels of calories, sugar, sodium, monosodium glutamate (MSG), preservatives, oils, or spiciness as unhealthy. On the other hand, others considered products that were stale, nearing or past their expiration dates, or obtained from unhygienic sources to be unhealthy. A subset of participants also recognized the link between consuming foods high in sugar or salt and the development of chronic conditions like hypertension or diabetes.\u003c/p\u003e \u003cp\u003eConversely, participants characterized healthy products as those containing specific ingredients like seaweed or milk, having particular nutritional qualities such as higher protein or fiber content, or belonging to specific food categories like bread. Additionally, perceptions of healthfulness were influenced by attributes like being Halal, not being overly tasty or filling, or being on the more expensive side. Furthermore, participants' views on healthiness were shaped by advertising and packaging, encompassing factors like product colors, with green been associated with healthiness, and nutritional claims.\u003c/p\u003e \u003cp\u003eOne participant mentioned:\u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;It\u0026rsquo;s because just from the advertising you\u0026rsquo;re already convinced. Like, you want to have a snack but you don\u0026rsquo;t want to gain weight, so you snack on a FitBar. And then from the packaging too, from, what, the packaging makes this impression that it\u0026rsquo;s super healthy. The color is green. And there\u0026rsquo;s, what is it, the phrase \u0026lsquo;low-fat\u0026rsquo;\u0026rdquo;. (17-y old boy, FGD 5)\u003c/em\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eReactions to FOPLs\u003c/h2\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e shows the quantitative ratings on reactions to FOPLs. Overall, most participants considered that each of the three FOPL types was easy to see, memorable, and believable. They particularly took note of the warning label\u0026rsquo;s black color, its simple design, exclamation point, and the word `warning\u0026acute;, which elicited a sense of danger, fear, or threat in some individuals.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eParticipant reactions to FOPLS: percent who agreed or strongly agreed with each statement (n\u0026thinsp;=\u0026thinsp;46)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eThe label is\u0026hellip;\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWarning\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTraffic Light\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eHealthy Icon\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEasy to see\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e83%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e83%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e72%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMemorable\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e67%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e67%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e76%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBelievable\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e65%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e76%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e74%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMakes me stop and think\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e67%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e57%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e52%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIs relevant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e67%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e67%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e59%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHelps me identify unhealthy food\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e87%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e80%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e72%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMakes me concerned about purchasing unhealthy food\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e52%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e37%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e37%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDiscourages unhealthy purchases\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e35%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e35%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e37%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDecreases intentions to purchase unhealthy food\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e28%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e26%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e28%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003eExact item wording and responses can be found in Appendix B.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn general, participants were drawn to the TLL\u0026rsquo;s design, described as catchy, \u0026ldquo;cool,\u0026rdquo; and memorable. Although the healthier choice icon received the highest rating for memorability (76% of participants), the ensuing discussion revealed that participants viewed this label as the least visible, difficult to notice, uninteresting, or unattractive. One participant elaborated on how the green label blended in with the product's packaging:\u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;The color of the packaging is sometimes green and the color of the checkmark is also green, so there's not enough contrast.\u0026rdquo; (14-year old girl, FDG 3)\u003c/em\u003e \u003c/p\u003e \u003cp\u003eThe TLL and healthier icon were the most believable labels (76% and 74%, respectively). Elements of the TLL that made it believable and trustworthy included its colors, design, and display of numeric information. Some participants considered the warning label too intimating, frightening, or aggressive to be believable; others found it misleading, as they did not believe that any food product could pose a danger to adolescent health. Interestingly, participants suggested adding a government endorsement (e.g., the Ministry of Health or National Agency of Drug and Food Control) to make the warning label more believable. Furthermore, some deemed the healthier choice logo unbelievable when displayed on packages of product perceived as unhealthy, such as sweetened milk, instant noodles, crips or chips.\u003c/p\u003e \u003cp\u003eMost participants considered that the warning label made them stop and think (67%), helped them identify unhealthy food (87%), and made them concerned about purchasing unhealthy food (52%). They understood the warning label and its purpose, describing it as a means to inform consumers that a product contains high amounts of nutrients of concern (e.g. sugar, saturated fat, fat). Participants recognized the label as a \u0026ldquo;warning\u0026rdquo; intended to make them stop and think, though it would not necessarily discourage purchases. Warning labels would help them identify whether a product was unhealthy or not.\u003c/p\u003e \u003cp\u003eAlthough most participants considered that the TLL would made them stop and think (57%) and helped them identify unhealthy food (80%), few believed the label would made them concerned about purchasing unhealthy food (37%). Most understood the meaning of the colors of the TLL, and some considered the label would help them determine if a product was healthy or unhealthy. However, some did not understand the meaning of the colors and/or found the numeric information provide in the label to be confusing.\u003c/p\u003e \u003cp\u003e \u003cem\u003eGreen is like, green is still safe. Yellow is fine, but not too often. If it\u0026rsquo;s red you shouldn\u0026rsquo;t have it often (boy, 16, public school).\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eI don\u0026rsquo;t understand what the percentages mean either (\u0026hellip;). It\u0026rsquo;s not really important, and I\u0026rsquo;m too lazy to read. The important thing is the warning (Boy, 15, public school).\u003c/em\u003e \u003c/p\u003e \u003cp\u003eOverall, few participants agreed that any of the three label types would make them not want to buy unhealthy foods (35\u0026ndash;37% of participants) or discourage them from purchasing unhealthy foods (26%-28% of participants). Boys were less likely to report that any label would be effective at changing their behavior. They perceived the labels as being for someone else (e.g., possibly peers, but only if they were on a diet or conscious about their health; parents would also be receptive to the label, and young children who are open to learning about healthy eating). Girls, on the other hand, were more open to the influence of the labels in their purchasing behaviors.\u003c/p\u003e \u003cp\u003eOpinions about the labels\u0026rsquo; influence on their snack purchasing behaviors were mixed. Warning labels appeared to exert a slightly stronger influence compared to other labels. Their clear and simple message and alarming connotation prompted a call to action.\u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;Because people who don't understand much can immediately get to the point. The warning is good for people who don't want the hassle.\u0026rdquo; (15-year old girl, FGD3)\u003c/em\u003e \u003c/p\u003e \u003cp\u003eSome individuals found this label to be \u0026lsquo;frustrating\u0026rsquo; because it restricted their choices and felt like it was \u0026lsquo;telling them what to do\u0026rsquo;. These individuals expressed a desire to rebel against such label by purchasing the product. One participant mentioned its resemblance to the cigarette warning labels and explained:\u003c/p\u003e \u003cp\u003e \u003cem\u003e\u0026ldquo;It's like, you know\u0026hellip; there's a [...] cigarettes have warning label, right? I think it's kind of like that. It won't necessarily, completely stop people from buying it. But at least it'll make people think and consider like, oh, this is what I'm getting myself into. [...] a little bit guilty.\u0026rdquo; (18-y old boy, FGD1)\u003c/em\u003e \u003c/p\u003e \u003cp\u003eSome participants appreciated the positive nature of the healthier choice logo, noting that it could help them identify what products were healthy, particularly for those wishing to have a healthier lifestyle. While some considered that this label would help them choose healthier products, most characterized the label as not noticeable, too simplistic, and without any ability to make them stop and think or influence their behavior.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eFOPL Design\u003c/h2\u003e \u003cp\u003eParticipants commented on each FOPL\u0026rsquo;s design as well as compared it to other versions of the same FOPL (e.g., with different shapes or colors). For warning labels, the word \u0026ldquo;WARNING\u0026rdquo; and the exclamation point were the design features that stood out the most. Participants considered that the black color enabled contrast and was easy to read. On the other hand, red was better at signaling warning, but was distracting or hard to read because it blends in with the package. Participants perceived that the harsher the outline shape was, the scarier it is, in comparison to the rounder outline. Reactions to the use of an icon varied by SES: while lower SES participants preferred warnings with icons, higher SES described them as distracting. Some expressed that the icons helped make the label seem friendlier or less scary.\u003c/p\u003e \u003cp\u003eOverall, adolescents found the design of the TLL most attractive (e.g., it was \u0026lsquo;cool\u0026rsquo; or \u0026lsquo;exciting). They found the colors especially attractive and enticing, although some pointed out that they blended in with the package. Reactions to shape were mixed (some preferred circles while others preferred squares). Similar to the warning, reactions to icons were mixed, with low-SES participants more likely to prefer icons while high-SES participants preferred more simplistic designs.\u003c/p\u003e \u003cp\u003eFinally, participants found the healthy check icon to be too small in size, with too small font, and that while they understood that the green color signaled healthy, it blended in with packages. When comparing the check to the heart, participants felt the heart was childish, unclear in meaning, and \u0026ldquo;weird.\u0026rdquo;\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003eFOPL comparison\u003c/h2\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e presents the participants\u0026rsquo; selection of their preferred label. The largest proportion of participants chose the TLL as most attention-grabbing (41%) and most helpful in identifying unhealthy products (67%). Meanwhile, the highest proportion of participants selected the warning label as most likely to discourage purchases of unhealthy products (46%), followed by the traffic light (41%).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSelection of FOPL most likely to grab attention, help identify unhealthy products, or discourage purchase of unhealthy products (n\u0026thinsp;=\u0026thinsp;46)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWarning\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTraffic light\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eHealthy icon\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eAll are the same\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGrabs attention\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e28%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e41%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e28%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIdentify unhealthy products\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e26%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e67%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDiscourages purchase of unhealthy products\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e46%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e41%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e19%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003eExact item wording and responses can be found in Appendix B.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eDuring the discussion, participants perceived the warning label as highly attention-grabbing and appreciated its simplicity. However, they found it less visually attractive as compared to the TLL. Warnings were seen as conveying a negative tone, while TLL were considered more positive, \u0026lsquo;friendly\u0026rsquo;, educational, and informative. At the same time, participants found warnings to be clearer and easier to understand due to their simplicity, whereas the traffic light label was harder to understand, particularly for younger or less educated individuals. The healthy icon was perceived as the least useful because it exclusively referred to healthy products. Although a few participants noted that the warning label evoked a sense of rebellion, it was the label most commonly mentioned as likely to decrease purchases of unhealthy foods due to its simplicity and negative connotation.\u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003eMain findings\u003c/h2\u003e \u003cp\u003eIn this set of focus groups of Indonesian adolescents aged 12-18y, adolescents revealed that price and taste, rather than nutrition considerations, were the primary drivers of food purchasing decisions. When evaluating FOPLs, adolescents expressed a preference for the TLL, finding them more attractive and believable, and viewing them as more informative. However, despite liking the information conveyed by TLL, a major drawback was that the information was not well understood, particularly by participants with low SES, making it unlikely to influence their purchasing behavior. In contrast, adolescents reported that warning labels effectively grabbed their attention, were well understood, and were most likely to discourage them from buying unhealthy foods, representing crucial steps along the conceptual pathway to behavioral change. Nevertheless, warnings were the least favored and believable label. Finally, while adolescents liked the healthy check, appreciating its positive signaling rather than a negative one, it was the least noticeable FOPL. The healthy check label was perceived as the least likely to discourage purchases of unhealthy packaged foods.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003eMain factors influencing snack purchasing decisions and implications for reactions to FOPL\u003c/h2\u003e \u003cp\u003ePrice, taste and value for money consistently emerged as top drivers of food choice, consistent with previous research on both adolescents and adults (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e). Nutrition information was not a top driver of choices, and adolescents were not likely to use or understand existing nutrition labels. The low rate of nutrition label use was anticipated due to the lack of salience of nutrition information in the package and the absence of guidance on how to interpret it. Interpretive FOPLS can help address this issue by capturing adolescents\u0026rsquo; attention to nutrition information and offering guidance on the subsequent purchasing decision (e.g., recommendations or warnings) (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAlthough some adolescents understood the link between nutrients like sugar or sodium and health, there was a limited understanding of the relationship between nutrition and chronic disease outcomes. Specifically, adolescents did not perceive nutrition as an important factor for them, a perception that influenced their reactions to the FOPLs. Indeed, across FOPL types, adolescents expressed the view that FOPLs were intended for \u0026ldquo;someone else,\u0026rdquo; i.e., younger children, parents, or individuals concerned about nutrition or health\u0026mdash;but not them. Some participants, particularly boys, reported that they were unlikely to pay attention to or use FOPLs, likely due to this lack of knowledge or interest in nutrition.\u003c/p\u003e \u003cp\u003ePrevious research has found that high health consciousness increases adolescents\u0026rsquo; responsivity to messaging about nutrition labels (\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e). In addition, risk perceptions are an important predictor of health behavior in adolescents (\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e). Tobacco research has demonstrated the effectiveness of mass media campaigns in changing risk perceptions (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e) and driving behavioral change (\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e) in adolescent populations. This suggests that a potential strategy to increase receptivity to FOPL messages is to integrate tailored communication campaigns within the FOPL intervention aimed at raising awareness about the association between poor nutrition and health risks among adolescents.\u003c/p\u003e \u003cp\u003eSocial norms, approval, and interaction were not mentioned as a top driver of food purchases. Social norms and social approval have a strong influence on specific health-related behaviors (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e), and this is likely to be especially heightened during adolescence. Furthermore, social norms play an important role for food choice in the presence of peers (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e). Participants may not have explicitly mention social norms or interactions as a main driver of purchases as these factors might operate at a subconscious level, making them unaware of their influence on purchasing decisions. Moreover, the alterations in lifestyle brought about by the recent COVID-19 pandemic (\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e) likely led to a decrease in social interactions associated with snacking.\u003c/p\u003e \u003cp\u003eSocial interactions play a role in certain mechanisms through which labeling systems, particularly warning labels, can exert their influence. Research from tobacco labeling has shown that increased conversations about warning labels correlate with behavior change (\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e). Understanding how social interactions influence interpretation and use of FOPLs is important, especially considering that adolescents frequently encounter FOPLs in the company of their peers (e.g., when purchasing snacks with their friends at the minimarket, warung or at school). Labels that stimulate social interaction may be more likely to bring about changes in purchasing behavior (\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e). Hence, delving into the relationship between FOPL and social norms, approval, and interaction, and how these factors collectively influence product selection, merits further exploration within this demographic.\u003c/p\u003e \u003cp\u003eAlthough adolescents rated both the TLL and warning label as easy to see, easy to recall, memorable, and likely to help them identify unhealthy foods, there were several notable differences between FOPLs. The finding that participants considered TLLs more informative than warnings, but that warnings were easier to understand, is consistent with previous literature (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e). This is likely due to the complex and extensive information presented to participants on the TLL. In addition to the numeric information, which participants found confusing, TLLs can sometimes present contradictory information (e.g., a product is high in one nutrient of concern but low in another), requiring consumers to analyze all the information to assess a products\u0026rsquo; healthfulness. Indeed, previous qualitative research on labeling has found that consumers have difficulty understanding and interpreting amounts and percentages on FOPLs (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e). This poses a challenge since most consumers make decisions about food very quickly (in seconds) (\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e), and often make snap decisions without deeply processing the provided information (\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e). In addition, while other studies have found that the color-coding (red/yellow/green) helps facilitate interpretation of TLLs (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e), this study found that certain participants were confused by the colors, suggesting that this approach may not work well with adolescent populations.\u003c/p\u003e \u003cp\u003eAdolescents liked the TLL the most out of all FOPL types. They found the design appealing, cool, and interesting, and they liked that the label didn\u0026rsquo;t tell them what to do (compared to warning labels). These results are consistent with previous literature: people do not like warning labels as much as other label types (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e), yet despite this, in experiments, warnings are frequently found effective at changing behavior (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e). In this study, although the warnings were less well-liked, adolescents reported that warnings were well-understood and more likely to make them stop and think and to influence their purchases. Consistently, a recent study found that among youth, mandated warning labels in Mexico and Chile had substantially higher levels of awareness, use, and understanding than the voluntary TLL in the UK (\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eParticipants liked the simplicity of the TLL label, and considered that the warnings provided a clear message of danger or warning that would make them stop and think. This \u0026ldquo;stopping and thinking\u0026rdquo; is important because it disrupts subconscious processes that lead to impulsive purchasing decisions or ingrained patterns of purchasing. Indeed, previous evidence from tobacco warnings has found that making people think is a key mediator on the pathway between label exposure and behavioral change (\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e). The fact that warning labels also grabbed participants attention is critical because FOPL must be able to cut through the many other design elements on the packages that are designed to capture their attention (\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e), and be quickly and accurately understood. The adolescents indicated that they were attracted to many other packaging elements, so \u0026ldquo;attention-grabbing\u0026rdquo; is important for an effective FOPL design in this population. Nevertheless, a recent study showed that high level of awareness found in Chile and Mexico regarding the warning label, in contrast to lower levels related to TLL in UK likely reflected differences in mandated policies in Chile and Mexico versus voluntary UK policies (\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e). This implies that the mandatory nature of the label plays a significant role in use of the label (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e), and may have a more significant influence than the attention-grabbing aspect.\u003c/p\u003e \u003cp\u003eWarning labels elicited more negative emotions than other FOPLS. An increase in negative affect is consistent with the conceptual pathway for how warning labels change behavior (\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e) as well as theoretical and empirical research from tobacco warnings, which have found that negative affective reactions to warnings are a key trigger for eliciting behavioral change (\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e, \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e). Negative affect can help people process risk information (\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e) and also create more negative attitudes towards products (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e). However, some participants indicated that the labels were less believable, misleading, or extreme for characterizing a product as dangerous. One possible explanation for this was participants\u0026rsquo; low awareness about the health harms of foods high in sugar, sodium, or saturated fat. For example, previous work in tobacco has found that when adolescents have low awareness about a product\u0026rsquo;s health harms, they find messaging about it less believable (\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e). Communication campaigns about unhealthy foods and health harms could help increase knowledge and awareness, increasing the believability of warnings about unhealthy foods. Another option is to add a government endorsement on the warning label itself. According to the Elaboration Likelihood model, the source of a message can serve as a cue of message quality and influence attitudes, particularly for messages processed on the periphery of consciousness, such as food labels (\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e). Indeed, in the focus groups many adolescents noted that a government endorsement would help increase believability and trustworthiness, although empirical evidence about the effectiveness of including a government source in warnings is mixed (\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e). Similar government endorsements have been used in other real-world food warning label systems, including in Chile and in Mexico, and thus warrant further investigation in Indonesia as well.\u003c/p\u003e \u003cp\u003eAnother concern with the warning labels is reactance, which is defined as resistance to a message in response to a perceived threat to freedom (\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e). Some older participants noted that the label was telling them what to do, which made them want to rebel against it. This response makes sense in the context of adolescent psychological development: adolescents desire independence and have a tendency to reject authority, meaning that FOPLS like warnings that are perceived to restrict their freedom are more likely to be rejected (\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e). Currently, there is little understanding of the impact of nutrient warnings on reactance in adolescent populations, or how this is associated with impact on food purchasing behaviors. Evidence from tobacco in adolescent and adult populations has found that graphic warnings lead to more reactance than text-based warnings (\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e, \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e), suggesting that text-based nutrient warnings such as those used in this study may not elicit high levels of reactance. In addition, other tobacco control research suggests the of reactance on behavioral change is small(\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e) and may even increase behavioral intentions (e.g., quit attempts) in response to warnings (\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e). On the other hand, reactance increases with age (\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e), and other FOPL elements that work well on one dimension can also increase reactance. For example, previous research has found that among adolescents, government endorsements increase credibility can also be perceived as domineering, which can in turn increase reactance (\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e). Researchers should further investigate reactance to nutrient warning labels in this population, including how the use of different types of messages (e.g., implicit vs. explicit) or design features consider reduce reactance (\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eWarning labels appeared to be more likely to discourage adolescents from purchasing unhealthy packaged foods than other label type; however, adolescents overall did not seem to think any FOPL would be particularly effective at changing their behavior. This was reflected quantitatively as well as qualitatively, as participants rated all FOPLs low on perceived message effectiveness, or how much the labels make them concerned about purchasing unhealthy foods and discourages them from buying them. Perceived message effectiveness is predictive of behavior (\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e), which suggests that FOPLS may be less likely to affect purchasing decisions of adolescents. In addition, boys were less receptive to all FOPL types than girls, which may reflect underlying differences in interest in nutrition (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e) or behaviors, as Indonesian girls are more responsible for food purchases and home cooking (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). Future research is needed to understand whether FOPLs would actually impact adolescents\u0026rsquo; food purchasing behavior in this context, as well as potential differences by gender.\u003c/p\u003e \u003cp\u003eFinally, the healthy check FOPL was perceived as the overall least noticeable or effective label. One possible explanation for this is that the healthy check contains less information than the other FOPLs tested, which is consistent with previous qualitative research finding that healthy icons were less acceptable because they do not provide information on specific ingredients or nutrients (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e). In addition, some participants were confused that the healthy check FOPL appeared on products such as sweetened milk, which they perceived as unhealthy. Although the current Indonesian guidelines permit use of the healthy icon on sweetened milk, this finding underscores the importance of using a strong nutrient profiling model that correctly classifies products as healthy or unhealthy, and labeling them as such. The use of the check on unhealthy products can give them a \u0026lsquo;health halo\u0026rsquo; effect, leading consumers to misjudge their nutritional quality and potentially consume even greater quantities than they otherwise would (\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e, \u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eWith regards to FOPL design, several patterns emerged across FOPL type. First, icons tended to be most useful for low-SES groups, who considered that icons enhanced comprehension, but not for high-SES groups, who preferred more simplistic designs. In addition, adolescents liked the use of colors such as red (for signaling unhealthy) or green (for signaling healthy), and found them attractive, but also reported that this made it more difficult to distinguish the FOPLs from the package. With regards to warning labels in particular, the use of the word \u0026ldquo;WARNING\u0026rdquo; and the exclamation mark were memorable and indicated danger, consistent with previous studies (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e) some adolescents suggested these design elements be used for the red-labeled nutrients on the TLL as well. Taken together, these results suggest that if colors are used, design elements like a holding strip or white border should be used to ensure adequate contrast with product packaging, and that elements like \u0026ldquo;warning\u0026rdquo; are particular useful to signal unhealthy.\u003c/p\u003e \u003cp\u003eThis study had several strengths and limitations. A strength of this study is that it sought to test adolescents\u0026rsquo; reactions to FOPL with a focus on specific steps on the conceptual pathway from FOPL exposure to behavioral change. However, at the same time, the study relied on self-reported perceptions, which may not completely predict behavioral response. In addition, participants evaluated labels on a small subset of products, which does not represent the wide array of products available on the Indonesian food supply nor the complex food retail environment in which adolescents make decisions. Future experimental research would be useful in understanding how FOPLs impact adolescents\u0026rsquo; food purchasing behaviors in a more realistic environment.\u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusions","content":"\u003cp\u003eBased on the results of this qualitative study of Indonesian adolescents, traffic light and warning labels hold promise for helping adolescents identify unhealthy foods and discourage purchases of these products, while healthy icons are perceived as less effective. While TLL were better liked and considered more attractive and more believable, warning labels were perceived as more attention-grabbing, more likely to make participants stop and think, and more likely to influence purchases. Future research is needed to understand whether FOPLS will impact adolescents\u0026rsquo; food purchasing behaviors and whether there are differences by gender or SES. Additionally, enhancing the efficacy of Front-of-Pack Labels (FOPLs) in real-life settings requires the identification of complementary interventions aimed at raising awareness and promoting the utilization of FOPLs. This is crucial for formulating a comprehensive policy action.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements \u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe thank Stephanie Momanyi and Dhara Buebel for support with manuscript formatting. We thank Makoma Bopape for sharing example focus group discussion guides.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding:\u0026nbsp;\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThis research was primarily funded by Global Alliance in Nutrition. This research was also supported by Bloomberg Philanthropies.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Disclosures:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo authors had any conflicts of interest to report.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability statement:\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eData described in the manuscript, code book, and analytic code will be made available upon request by emailing the corresponding author.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eRah JH, Melse-Boonstra A, Agustina R, van Zutphen KG, Kraemer K (2021) The Triple Burden of Malnutrition Among Adolescents in Indonesia. SAGE Publications Sage CA, Los Angeles, CA\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRachmi CN Overweight and obesity in Indonesia: prevalence and risk factors\u0026mdash;a literature review. 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Nutrients 2018;10. accessed Date Accessed)|.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003e\u0026amp;#65532\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Global Alliance for Improved Nutrition","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Food purchasing, dietary patterns, ultra-processed foods, nutrition transition, food policy","lastPublishedDoi":"10.21203/rs.3.rs-5187834/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5187834/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eIndonesia faces a multi-faceted public health issue, with a shift in dietary patterns leading to increases in overweight and obesity. Unhealthy dietary behaviors arise with increased accessibility to ultra-processed foods and a concurrent drive towards increased autonomy.\u003c/p\u003e\u003ch2\u003eObjective\u003c/h2\u003e \u003cp\u003eTo explore Indonesian adolescents\u0026rsquo; drivers of food choice, perceptions of different front-of-package labels (FOPLs), and views on design features that could influence the impact of FOPLs.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eEight focus groups were conducted with 46 participants aged 12\u0026ndash;18, of different socioeconomic status from Jakarta metropolitan areas. Three FOPLs were tested, and the selection of snacks was guided by interviews with four adolescents. The Pan American Health Organization (PAHO) nutrient profile and the UK nutrient profile were used for the warning label and traffic light label (TLL), respectively. Participants completed a demographics questionnaire, then an online assessment and discussion that encompassed food purchasing decisions, reactions to each of the FOPLs, comparison of FOPLs, and comparing alternative label designs for each FOPL type. Thematic analysis and the Likert scale were used for quantitative and qualitative analysis, respectively.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003ePrice, taste, and value were the major drivers of food purchasing. While most participants said the TLL would make them stop and think (57%) and helped them identify unhealthy food (80%), few believed the label would make them concerned about purchasing unhealthy food (37%). Few participants (35\u0026ndash;37%) agreed that any of the three label types would make them not want to buy unhealthy foods or discourage them from purchasing unhealthy foods (26%-28%).\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eTraffic light and warning labels hold promise for helping adolescents in Indonesia identify unhealthy foods and discourage purchases of these products, while healthy icons are perceived as less effective.\u003c/p\u003e","manuscriptTitle":"Indonesian Adolescents’ Perceptions of Front-of-package Labels on Packaged Food and Drinks","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-10-10 12:54:21","doi":"10.21203/rs.3.rs-5187834/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"0e34ee86-df69-4c5a-ad09-0a753644841e","owner":[],"postedDate":"October 10th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":38479973,"name":"Health Policy"}],"tags":[],"updatedAt":"2024-10-10T12:54:22+00:00","versionOfRecord":[],"versionCreatedAt":"2024-10-10 12:54:21","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5187834","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5187834","identity":"rs-5187834","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}