Abstract
Adolescents are exposed to extensive marketing for junk food, which drives overconsumption by creating positive emotional associations with junk food1–6. Here we counter this influence with an intervention that frames manipulative food marketing as incompatible with important adolescent values, including autonomy from adult control and social justice. In a pre-registered, longitudinal, randomized, controlled field experiment, we show that this framing intervention reduces boys’ and girls’ implicit positive associations with junk food marketing and substantially improves boys’ daily dietary choices in the school cafeteria. Both of these effects were sustained for at least 3 months. These findings suggest that reframing unhealthy dietary choices as incompatible with important values could be low-cost, scalable solution to producing lasting, internalized change in adolescents’ dietary attitudes and choices.
Unhealthy dietary choices are the leading cause of premature death and disease in the developed world, resulting in five times as many lost years of healthy life as physical inactivity7,8. In particular, the ever-increasing rate at which people are consuming “ultra-palatable” processed foods high in sugar, fat, and salt, has led to a global obesity pandemic, with devastating human and economic consequences6,9,10.
Somewhat counterintuitively given the scope of the problem, even a very small improvement in people’s dietary habits has the potential to substantially reduce the incidence of diet-related death and disease. For example, a reduction in average energy consumption of as little as 20 kcal/day (less than a 1% change), would not just slow but reverse the growth of the obesity crisis and, within 3 years, prevent millions of new cases of diabetes, heart disease, and cancer in the US and UK alone, according to a recent high-profile estimate10. But this is only true if two critical conditions are met: the changes must be sustained, and they must be on a population scale10–14.
Why must changes occur on a population scale? When risk is diffuse across the population, focusing prevention efforts on population-level risk factors (“universal prevention”) is expected to have a much greater impact on the incidence of disease and mortality than attempts to identify and protect the specific group of individuals believed to be at greatest risk (“high-risk prevention”). This is because all are exposed to population risk factors and it is impossible to accurately predict which individuals will succumb13,14. By reducing the effect of those risk factors at the population level, the universal approach can prevent more cases of disease and death than any other known strategy. This is the logic behind such universal prevention interventions as immunization and seatbelts. The key to universal prevention’s effectiveness is scale, not individual-level impact, which tends to be very small, on average13,14.
To meet the pressing public health need, many investigators have developed and tested universal preventive interventions to encourage healthier diets, typically designed to be administered in schools.15 Schools provide a unique opportunity to reach entire populations of young people, whose dietary preferences are still developing. Within the school-age years, adolescence may be a particularly opportune time at which to target interventions; this stage of life is increasingly recognized as an inflection point during which well-designed interventions have disproportionate potential to redirect a person’s developmental trajectory in lasting ways16,17. To date, however, despite intense scientific effort, research has not identified a cost-feasible approach with clear potential to produce lasting, self-sustaining change in dietary preferences on a population scale15,18. For this and related reasons, some experts have become pessimistic about classroom-based obesity interventions15,19.
We suggest that this pessimism about past interventions is warranted but it is misdirected. The problem is not with classroom-based universal prevention interventions per se. Rather, the traditional approach to such interventions, which typically involve teaching about nutrition and the importance of healthy choices in determining future health15, is critically flawed: Distant outcomes such as future health are known to have little motivational force—especially when pitted against the tempting appeal of unhealthy food20. Moreover, a focus on future health does nothing to counter the effect of the strong positive marketing messages about junk food that pervade children’s and adolescents’ daily lives. From a very young age, children are exposed to a relentless barrage of food industry marketing designed with the clear purpose of reinforcing strong positive associations with junk food in children’s minds in order to drive increased consumption. This includes not only advertising but also deliberately formulating junk food to be maximally rewarding and strategically positioning it in stores to be difficult to resist 1–5. This marketing is effective: leading experts have cited it as the single population risk factor most responsible for increasingly unhealthy diets3–6.
In contrast to the traditional approach, we test a “values-alignment” intervention aimed directly at neutralizing the positive emotional associations with junk food that marketing engenders and portraying the rejection of unhealthy foods in favour of healthy alternatives as a way to live up to the values participants already care about deeply. The intervention seeks to do this by reframing food marketing and the eating of junk food as inconsistent with adolescent values, specifically, (1) the desire to be autonomous from adult control and (2) the desire for social justice. Both of these values have been shown to be of heightened importance during the adolescent period21–26.
The question of whether and how it is possible to change entrenched implicit associations (like the ones created by food marketing) has been a major focus of leading researchers in the field of social cognition for more than a decade27–30. Until now, an intervention that reliably produces any lasting change in these associations has not been discovered27, but the approach we take here differs from most previous approaches. By altering adolescents’ construal of junk food ads, the exposé intervention was designed to lessen the appeal of the environmental stimuli that support the existing problematic associations, making them easier to change28,31.
To reframe food marketing and unhealthy dietary choices as inconsistent with adolescent values, our intervention provided an exposé of manipulative food marketing practices, perpetrated by self-interested adults and aimed at pushing adolescents and other vulnerable groups to buy and consume junk food1,2. It emphasized the social justice implications of the food companies’ disproportionate targeting of vulnerable populations, including children and the poor, with their marketing for the unhealthiest foods1–3,32. The purpose of this framing was to portray the rejection of unhealthy foods in favour of healthier options as a way to reassert one’s autonomy from adult control and to take a symbolic stand against the injustice perpetrated by food marketers.
Our past research provided support for the basic elements of our theoretical premise. We found that teaching adolescents about manipulative food marketing and its social justice implications caused them to view healthy dietary choices as consistent with widely-shared adolescent values and, as a result, to make significantly healthier snack and drink choices, one day post-treatment, in what they believed was an unrelated situation17. Although these results were encouraging, they left the big question unanswered: Can a values-alignment intervention that is brief and inexpensive enough to be implemented on a population scale produce sustained change in attitudes and dietary choices? Values alignment is expected to be more effective at producing sustained change in attitudes and choices than other approaches because it connects food marketing and dietary choices with long-term values that are important to participants.
In a double-blind, longitudinal, pre-registered field experiment, we tested whether a values-alignment intervention can produce enduring changes in (1) adolescents’ implicit affective associations with junk food marketing and (2) adolescents’ dietary choices as measured by their purchases in the school cafeteria for the rest of the school year (3 months). Students in the eighth grade at a rural/suburban Texas middle school (N = 362) were randomly assigned, at the individual level, to either the exposé intervention or an active placebo control intervention (see Supplementary Note 1 for detail about the pre-registered analysis plan). Both interventions were designed to be efficient—they were administered over two classroom sessions on consecutive days—to be compatible with the ultimate goal of universal prevention, which requires that an intervention be brief and inexpensive enough that it could plausibly be administered on a population scale.
The exposé (i.e., values-aligned) intervention taught participants about deceptive food marketing and its social justice consequences (see Table 1). To reinforce the negative construal of food marketing, and in particular the junk food advertisements adolescents are exposed to in their daily lives, participants in the exposé condition completed an activity called “Make it True.” In this activity, participants were shown images of food ads on tablet computers that allowed them to draw or write over the images. Instructions encouraged them to make changes (e.g., cross out and replace words) that would make the ad “true” (i.e., no longer deceptive; see Fig. 1). The “Make it True” exercise was designed to evoke the subversive adolescent thrill of using graffiti to express rebellious opposition to adult-imposed injustice.
Table 1.
Exposé intervention: Representative excerpts | Control intervention: Representative excerpts |
---|---|
“Unhealthy foods—ones loaded with sugar, fat, and salt—are more addictive than they’ve ever been, and companies are spending lots of money to find ways to make them even more addictive every day.” | “Just like a car, our bodies need fuel in order to keep running and nutrients are just like fuel for our bodies. We need nutrients to give us the energy to work, play, and help our bodily systems stay in shape. Without proper fuel, a car will break down and so will our bodies.” |
“The most unfair part is that addictive unhealthy foods hurt children and poor people the most—the people who have the least ability to defend themselves.” | “It’s important to check [the] nutrition labels on the foods we eat so we can make sure it’s healthy before we put it into our bodies.” |
“They hire scientists to figure out the brain’s blind spots. Then they invent foods that trick the brain into craving more and more sugar and fat, whether you’re hungry or not.” | “…[T]oo much salt can lead to problems with increased blood pressure and cardiovascular disease. Processed foods like potato chips and cookies usually contain a lot of sodium, which is bad news!” |
“You can kick the junk food habit mostly by staying away from these foods. If you avoid them in the store, and don’t keep them in your home, you take away the food companies’ power to keep sucking you in.” | “The best plan is to keep eating a variety of healthy foods like fruits, vegetables, and nuts and stay active to keep your body healthy and strong.” |
The placebo control intervention was based on existing middle school health curricula and the U.S. government’s healthy eating website. Like many past interventions, it taught participants about nutrition and the importance of a healthy diet for ensuring one’s future health (see Table 1). In the second session, participants in the control condition completed an interactive activity that had been professionally developed as part of an existing nationwide health campaign, in which participants played a game designed to teach them how much of different types of physical activity it takes to work off the calories from various foods. The activity was introduced to participants with the title “Make it Fun.”
All reported P-values refer to two-sided tests and all reported standardized mean differences (SMD) are the unstandardized effect size divided by the control group’s standard deviation, which is considered the most appropriate effect size index for intervention experiments33. Replicating the findings of our past research17, the exposé intervention significantly increased the extent to which participants construed healthy eating as aligned with the adolescent values of autonomy from adult control and social justice (MExposé = 3.52, SD = 0.88; MControl = 2.55, SD = 0.86), t(338) = 10.23; P < 0.001; SMD = 1.13, 95% CISMD: [0.90, 1.33], relative to the control intervention. Supporting our theoretical premise that this change in construal constituted a re-alignment of healthy dietary choices with widely-shared adolescent values, the exposé intervention also increased the perceived social status appeal of healthy choices (MExposé = 3.49, SD = 0.87; MControl = 3.04, SD = 0.93), t(339) = 4.66; P < 0.001; SMD = 0.49, 95% CISMD: [0.28, 0.70], and this effect was statistically mediated by the increased construal of such dietary choices as autonomy- and social-justice-oriented behaviour, bindirect effect = 0.64, P < 0.001, 95% CIindirect effect: [0.53, 0.76], with 100 bootstrapped samples (see Supplementary Results 1 for detail). These status appeal results all replicate findings of our previous research17. Also replicating our past research17, the exposé intervention significantly increased participants’ self-reported level of anger in response to images of junk food ads they were shown immediately after the intervention (MExposé = 2.28, SD = 1.16; MControl = 1.34, SD = 0.85), t(303) = 8.00; P < 0.001; SMD = 1.09, 95% CISMD: [0.82, 1.37], and significantly reduced their self-reported desire to consume the products depicted in those ads (MExposé = 2.45, SD = 1.29; MControl = 2.87, SD = 1.33), t(304) = −2.85; P = 0.005; ; SMD = 0.32, 95% CISMD: [0.10, 0.55] (see Supplementary Figure 1).
We measured participants’ affective associations with junk food ads using the affect misattribution procedure (AMP), a validated and widely-used measure of implicit affective associations in which participants indicate whether an unfamiliar and affectively neutral character feels pleasant or unpleasant to them after a very brief (75ms) exposure to images of the true target of measurement34,35. We also used the AMP to measure affective associations with healthy foods, both to serve as a contrast category with the junk food ads and to test the possibility that the exposé intervention would also increase positive associations with those foods. We administered the AMP 2 weeks post-intervention, and again 3 months post-intervention, immediately before the end of the school year. (We also administered the AMP immediately post-intervention, during the second classroom session, but a problem with the school Wi-Fi connection caused most of those data not to be saved. The 57 participants whose data were saved showed marginally significant evidence of the same condition effect (see Supplementary Results 1.)
Compared with the control intervention, across the two measurement points, the exposé intervention caused participants’ implicit affective reactions to junk food ads to become significantly more negative, b = −0.068, SE = 0.026, t(348.729) = −2.65, P = 0.009, SMD = 0.26, 95% CISMD: [0.06, 0.45], and their implicit affective reactions to healthy food to become significantly more positive, b = 0.047, SE = 0.021, t(347.112) = 2.283, P = 0.023, SMD = 0.20, 95% CISMD: [0.02, 0.38] (see Figure 2; Supplementary Results 1; Supplementary Table 1). There was no significant evidence that these effects weakened over that period—that is, neither of those effects interacted significantly with variables representing the time of assessment (see Supplementary Table 1).
The second key outcome was participants’ choices of snacks and drinks in the school cafeteria. The cafeteria uses an electronic debit system, linked to students’ school ID cards, to charge students for food purchases. The school provided us with the complete purchase records for the academic year for every participant in the study. The cafeteria’s accounting system differentiates among the snacks and drinks on offer and the options for both include healthy items (e.g., fruit, milk, water) and unhealthy items (e.g., chips, cookies, sugary juice). Cafeteria staff were blind to the intervention content and to students’ condition assignments, and the purchase records are not subject to bias due to non-response or misreporting. Using these cafeteria purchase data, we compared the changes in purchases, from before to after the interventions were administered, among those in the exposé and control intervention groups (see Methods; Supplementary Results 1). Compared with participants in the control condition, those in the exposé condition made significantly healthier snack and drink purchases in the remaining three months of the school year after the intervention was administered, than they did in the roughly 6.5 months before. This change was evident whether we looked at effects on healthy purchases or on unhealthy purchases, btime x condition = 0.002, SE = 0.001, t = 2.06, P = 0.039, OR = 1.49, 95% CI: [1.02, 1.97]; btime x condition = −0.012, SE = 0.005, t = 2.21, P = 0.027 OR = 0.92, 95% CI: [0.85, 0.99], for healthy and unhealthy purchases, respectively (see Supplementary Table 2; Supplementary Results 2).
Exploratory analysis revealed that the above-reported effects of the exposé intervention on cafeteria snack and drink purchases were driven entirely by changes in boys’ purchases, btime x condition x gender = −0.011, SE = 0.003, t = −4.476, P < 0.001, ORboys, healthy = 2.16, 95% CI: [1.66, 2.67], ORgirls, healthy = 0.92, 95% CI: [0, 3.2] and btime x condition x gender = 0.062, SE = 0.011, t = 5.603, P < 0.001, ORboys, unhealthy = 0.74, 95% CI: [0.66, 0.83], ORgirls, unhealthy = 1.14, 95% CI: [1.02, 1.26] for healthy purchases and unhealthy purchases, respectively; (see Supplementary Results 1; Supplementary Table 3). In pre- vs. post-intervention comparisons, the health profile of girls’ purchases actually improved slightly (and, in some tests, significantly) more following the control intervention than they did following the exposé intervention (see Supplementary Table 3). The relative advantage of the control intervention for girls, although significant in some tests, was much smaller than (i.e., 32% the size of) the relative advantage of the exposé intervention for boys. Among boys, the exposé intervention caused a 31% reduction in daily purchases of unhealthy snacks and drinks (e.g., sugary drinks, chips, cookies) and a 35% overall improvement in the health profile of their daily snack and drink purchases in the three months post-intervention, relative to participants in the control condition (see Supplementary Results 2 for detail). The moderation of the intervention’s effect on cafeteria purchases by gender appears highly robust. That is, the relatively large sample and very low P-values for the interactions with gender suggest that the moderation by gender is unlikely to be a spurious finding (see Supplementary Results 2 for an additional check of the robustness of the gender moderation finding).
Importantly, boys’ and girls’ psychological responses to the intervention (including values-aligned construal of healthy eating, explicit emotional reactions to junk food marketing, and implicit affective associations) were the same—all of those effects were in the same direction and of similar size for boys and girls (all gender interaction Ps > 0.05; see Supplementary Table 5). We suggest that the gender moderation of the cafeteria purchase effects is likely driven by increased behavioural responsiveness among girls to the bodyweight implications of the control intervention, which was composed almost exclusively of content generated by professional public health and communications experts that is currently being employed on a national scale with the purpose of improving adolescent health decisions. For girls, an emphasis on calories, for example, might trigger sociocultural pressures to be thin, which are much greater for them than they are for boys36.
Indeed, for many adolescent girls, being thin might be a more important value than autonomy and social justice. So, although girls’ psychological responses to the exposé intervention are identical to those of boys, their food choices might be driven more strongly by a concern with the effects of their diets on their physical appearance. It is also important to remember that the finding of a slight relative advantage of the control intervention in improving the health profile of girls’ food choices does not imply that the exposé intervention was ineffective for that purpose. Thus, future research should investigate whether the exposé intervention, by avoiding the traditional emphasis on cues related to bodyweight, can achieve similar health results with fewer negative psychological side effects for girls.
Each of the two major findings of this experiment—enduring change in boys’ and girls’ implicit affective reactions to junk food marketing messages and in boys’ daily real-life dietary choices, over 3 months—represents an important scientific advance in its own right. We do not believe it is a coincidence that these advances were achieved together. On the contrary, our theory of long-term behaviour change was predicated on being able to undermine the positive affective associations with junk food that are created and maintained by food marketing. Indeed, by explicitly linking our exposé message with the junk food ads adolescents are continually exposed to, the “Make it True” exercise may even have allowed us to co-opt the ubiquity of such ads to serve as continual reminders of our exposé message. A test of this hypothesis would require accurate data on adolescents’ levels of exposure to food marketing. Examining this should be a high priority for future research.
The finding that this intervention’s effect on dietary choices appears to have been specific to boys is notable in light of the fact that past interventions, to the extent they have had any effect, have only worked for girls. The meta-analytic effect of past behavioural interventions—including expensive and involved ones—on boys has repeatedly been found to be indistinguishable from zero15,18. (Note that this is consistent with indications in the present experiment that the control intervention, which mimicked the traditional intervention approach, seems to have been at least somewhat effective for changing girls’ behaviour.) The discovery of an effective method for influencing the dietary preferences of boys is, itself, a significant advance with important public health implications.
Although the improvements the exposé intervention produced in boys’ daily snack and drink choices in the school cafeteria are substantial, one might question whether they extended to contexts beyond the cafeteria. For example, did the changes in dietary choices extend to contexts in which opposing forces might have been present (e.g., parents’ control of what is available to eat at home; pressure from untreated peers outside of school)? It is possible that they did not, but this would not diminish the theoretical importance of our finding. The data make clear that, even if there were countervailing forces at work in other contexts, the intervention’s effect on participants’ internalized preferences was strong enough to withstand them. Boys continued to make healthier selections in the cafeteria, even in the face of any such outside influences, for the full 3 months of the school year that remained after the intervention was complete.
The effects of the exposé intervention in this study are particularly striking given that, for reasons of methodological rigor, we opted to use individual-level random assignment. This meant that the intervention protocol could not include any group discussion, social media campaigns, or other features that might have fostered a “social movement” within the school. An intervention that deliberately taps into socially-shared values should be expected to have even stronger and longer-lasting effects if it had an overtly collective social dimension. The present results underscore the need for large-scale trials using classroom- or school-level randomized designs that could test these theoretical predictions directly.
More broadly, these findings constitute a major advance in the science of behaviour change, demonstrating how a values-alignment approach can lead to scalable interventions that successfully change behaviour in domains where traditional approaches have been unsuccessful. Values alignment is expected to be particularly effective in domains where, despite understanding the importance of responsible choices, people regularly face temptation to make irresponsible ones (e.g., distracted driving, environmental conservation). In light of the present findings, the current dominant focus on long-term self-interest as a way to motivate behaviour change should be carefully re-evaluated24. Rather than urging people to prioritize their long-term material interest over short-term temptations, policy makers and program designers might consider what other goals or values already feel important and immediate to the relevant population and whether behavioural appeals can be framed to harness this existing source of motivation. Because values alignment creates change by fostering internalized motivation, it may be particularly useful when, as with diet, regulatory solutions to behaviour problems (e.g., strong legal restrictions on food marketing) face political opposition or are impractical. For the same reason, values alignment might also be an especially useful approach when contextual “nudges”37 cannot offer a comprehensive solution because behavioural decisions are repeated and occur in a wide range of different contexts.
We caution that this research does not imply that the specific exposé approach employed in this research will be effective in all situations—or even in all adolescent school contexts. As with any psychologically sophisticated behavioural intervention, the details should be tailored to the nuances of the context and population in question38,39. These findings do, however, suggest the urgent need for a major new scientific initiative to explore the potential of values-alignment approaches to “move the needle” on the large number of personal behaviours that contribute to some of society’s most persistent problems.
Methods
The institutional review board at the University of Chicago approved the study. This experiment was conducted as a program evaluation carried out at the request of the participating school district. Parents were informed of the program evaluation in advance and given the opportunity to withdraw their children from the study. Informed student assent was obtained from all participants.
Participants
All students attending the eighth grade at a middle school serving families living in rural and suburban areas were invited to participate in the study and 362 of them did (85.6% of registered 8th grade students). This sampling plan was determined in advance and included in the pre-registered analysis plan (available at https://osf.io/7krnt/) to make clear that the sample size decision was not influenced in any way by its implications for experimental results. There were 400 students enrolled in the 8th grade at the start of the school year. By that count, our sample comprised 90.1% of enrolled students. By the end of the year, however, enrolment in the 8th grade was 423. Since we do not know how many of the additional 23 students began before the start of our study, we make the conservative assumption and report the participation rate based on a denominator of 423. The sample ranged in age from 13 to 15 years (44% were 13, 52% were 14, and 4% were 15) and was 51% White, 44% Latinx, and the remaining students were Black/African-American or of mixed race. Thirty eight percent were officially designated as economically disadvantaged based on their family’s income.
Procedure
Participants and teachers were fully blinded to the goals of the study and the condition assignments (i.e., the study was not described to participants or teachers as an experiment with different conditions that would be compared but rather as an opportunity for the researchers to obtain feedback from students about various sets of draft material for use in future 8th-grade health classes). The researchers who facilitated data collection were also kept blind to experimental condition.
Participants were randomly assigned at the individual level, automatically upon logging into Qualtrics software, to either the exposé (n = 184) or the placebo control (n = 178) condition. Both interventions were administered on two consecutive school days during a single 50-minute class period each day.
Overview of manipulation and survey.
The first experimental session in both conditions involved a brief, condition-specific, narrated informational reading exercise (completed using laptop computers with disposable earphones), followed by a condition-specific paper-and-pencil writing exercise. Paper materials were distributed in coded envelopes to preserve researchers’ blindness to condition. The randomized Qualtrics program was linked to the envelope codes to allow research assistants to provide condition-appropriate envelopes to each participant without learning participants’ condition assignments. Participants then completed a survey of psychological process variables, completed on paper; these were identical across conditions (see Summary of measurement time points, below). Students completed all activities privately and quietly at their desks. Research assistants, blind to students’ experimental condition assignment, introduced the activity as an opportunity to provide feedback on novel curricula for schools. Assistants, working with teachers, maintained a quiet and focused atmosphere until all students had completed the activities. All manipulated content was delivered either in written materials or via audio using earphones (or both) so that participants in different conditions could participate in the same classroom.
In Session 2, the experimental session, in both conditions, consisted of a brief (5-minute), condition-specific video summary of the previous day’s content (viewed on laptop computers with disposable earphones), a short survey of explicit attitudes about junk food marketing (identical across conditions), a condition-specific game-like interactive activity completed on a tablet computer, and finally an implicit associations measurement task, which was identical across conditions and completed on a tablet computer.
All intervention materials were developed through an iterative process of prototyping and piloting to ensure material was clear, evocative, and age appropriate.
Exposé treatment.
Session 1.
The narrated informational reading exercise in the exposé intervention described recent journalistic works exposing the deceptive and manipulative marketing practices of food companies and the harmful effects of these practices on society, with a particular emphasis on harm to young children and the poor. For example, the exposé described how companies invest millions of dollars in scientific research with the explicit goal of maximizing its addictiveness (or “craveability”), using deceptive labels and product names to create the perception that unhealthy products are healthy, and disproportionately targeting very young children and the poor with marketing of unhealthy products. To activate adolescents’ desire to assert autonomy from adults and tap into the stereotype of the controlling, hypocritical adult, the article included pictures of four specific food industry executives or consultants (all White, middle-aged men in business attire) and described their hypocritical behavior (e.g., “[Name] is a former tobacco executive who oversaw Kraft. He calls himself ‘a bit of a fitness freak.’ So, he avoids the sweet drinks and fatty snacks that his company sells.”). Finally, the informational reading exercise included a series of quotes that contributed both to the perception of widespread outrage and suggest how that outrage could be channeled to take a stand against the injustice perpetrated by food companies by eating less unhealthy—and more healthy—food.
To increase the likelihood that participants would internalize this information, this informational exercise was followed by a reading and writing exercise that incorporated two techniques that have become standard practice in psychological interventions40. First, to create the perception of a descriptive norm in support of the treatment message41, participants read a brief report from an ostensible survey of older students in their own school district, conducted in an earlier year, that suggested that most such students felt outraged about food company practices and planned to change their behavior in response to having learned about it (e.g., “…almost all 9th graders said they planned to fight back against the companies by buying and eating less processed food.” [Bold in original]). Second, students were asked to write a short statement explaining why other students like them were outraged and how they might fight back against the companies—a so-called “saying is believing” exercise40,42.
Session 2.
The second classroom session, held on the following day, began with a 5-minute video that provided an overview of how junk food companies unjustly target children. Next, participants were shown images of real junk food ads along with real quotes from morally outraged 9th grade students (the previous year’s 8th graders)— edited for clarity and concision—that described how they intended to fight back by not purchasing junk food. Students were then asked to write a short statement representing what they would tell a younger child about the advertisements.
Next, to reinforce this new values-aligned construal of food marketing, participants completed an interactive activity, called “Make it True.” They were shown images of food ads on tablet computers in a software program that allowed them to draw or write over the images. They were instructed to make whatever changes (e.g., cross out and replace words) they thought were needed to make the ad “true” (i.e., no longer deceptive; see Fig. 1). This exercise intentionally simulated the subversive adolescent thrill of using graffiti to express rebellious opposition to adult-imposed injustice and thus to reinforce the association in participants’ minds between healthy diets and the powerful symbolic reward that comes from living up to the important values they share with their peers.
Traditional health education (active placebo control).
The control activities were designed to mimic the current standard approach to health and nutrition education and behavior change in this population, almost exclusively using content and communication approaches designed by relevant experts and currently in use on a national scale (e.g., textbooks, government educational websites, national non-governmental health education and behavior change programs).
Session 1.
The narrated informational reading exercise in the control intervention was based directly on published 8th grade health textbooks and conveyed information about how the body processes foods, and how this relates to weight and health in general. It included colorful, appealing pictures of healthy foods, informative tips about reading nutrition labels, and specific recommendations for eating a healthy and balanced diet. Finally, the informational reading exercise included a series of purported quotes from adults (e.g., parents, health educators) expressing praise for the material and encouraging students to read and follow the recommendations.
Next, participants were asked to write essays explaining why it is important to make healthy eating choices. They were also asked to describe some active steps that they might take in order to follow the advice of the article and of the adults who endorsed it. Hence, like the exposé treatment, it involved active interaction with the messages as well as elements of psychological intervention40.
Session 2.
The second classroom session began with a 5-minute video that detailed how to use the federal government’s MyPlate guidelines to make healthy food choices. Participants then completed an interactive tablet-computer-based activity, developed by an academic laboratory with specific expertise in media and communication as part of a national foundation-funded program to encourage young people to adopt healthy lifestyles. Called “Make it Fun” (to roughly match the name of the corresponding activity in the exposé condition) it invited participants to spin a virtual (Wheel-of-Fortune-style) wheel to learn how much physical activity it takes to work off the calories from various foods. An instructional packet encouraged participants to think about how long they would need to spend doing their favorite activity to burn off calories from their favorite foods.
In sum, the active placebo control was substantially more informative about the science of health and nutrition, and provided more self-interest-based reasons why it is important to eat healthily than the exposé intervention did. It also included explicit appeals to drink water, avoid food high in salt, fat and sugar, eat fruit, and make other healthy dietary choices. For these reasons, it was a strong active placebo control and allowed for a conservative test.
Measures
Self-reports.
Six survey items, presented in a single randomly-determined order, assessed three focal constructs outlined below.
Alignment of healthy eating with adolescent values (Session 1).
Four items assessed adolescents’ construal of healthy eating as addressing social justice concerns; they were “When I eat healthy, I’m doing my part to protect kids who are being controlled by food companies”; “When I choose to eat healthy, I’m helping to make the world a better place”; “By not buying products from junk food companies, I’m helping others in need” and “What I choose to eat makes a difference to others.” Participants responded to each item using a five-point scale (1 = Not at all true; 2 = Slightly true; 3 = Somewhat true; 4 = Very true; 5 = Extremely true).
Next, three items assessed individuals’ construal of healthy eating as independent and autonomy-assertive behavior. These were “Eating healthy is a way to stand up to people who are trying to control us” and “Eating healthy is a way to be independent” and “When I eat healthy, I really feel like I’m taking control of my food choices.” Participants responded to each item using a five-point scale (1 = Not at all true; 2 = Slightly true; 3 = Somewhat true; 4 = Very true; 5 = Extremely true).
The items assessing values-aligned construal of healthy eating were averaged into a single index. Results are substantively identical when the autonomy items are averaged into one index and the social justice items are averaged into another index (see Supplementary Results 1).
Social-status appeal of healthy eating (Session 1).
Three items assessed the social status appeal of healthy eating: “I like the idea of being a healthy eater”; “I respect healthy eaters more than unhealthy eaters” and “I want to think of myself as a healthy eater.” Participants responded to each item using a five-point scale (1 = Not at all like me; 2 = Slightly like me; 3 = Somewhat like me; 4 = Very like me; 5 = Extremely like me). These items were averaged into a single social-status-appeal index.
Explicit marketing attitudes (Session 2).
Explicit attitudes toward unhealthy food marketing were measured by showing participants two junk food advertisements (one for a Gatorade sports drink and one for Cheetos-brand corn puffs). Participants were asked to rate the extent that the advertisements made them feel angry (1 = Not angry at all; 2 = Slightly angry; 3 = Somewhat angry; 4 = Very angry; 5 = Extremely angry), and want to consume product (1 = Not at all; 2 = Slightly; 3 = Somewhat; 4 = Very much; 5 = A great deal). These items were analyzed separately because they measure conceptually distinct constructs.
Implicit affective associations.
Affect Misattribution Procedure (Session 2, 2 weeks post-intervention, 3 months post-intervention).
We measured participants’ implicit affective associations with junk food marketing and healthy foods using the affect misattribution procedure (AMP), a thoroughly-validated and widely-used measure of implicit affective associations in which participants indicate whether an unfamiliar and emotionally neutral character feels pleasant or unpleasant to them (relative to similar such characters) after a very brief (75ms) exposure to images of the true target of measurement34,35. The AMP was administered with tablet computers using Inquisit software and each administration lasted 3 to 5 minutes. The AMP measured students’ implicit attitudes towards three types of food: healthy foods (fruits and vegetables), marketing of popular unhealthy foods (e.g., Doritos and Coca-Cola), and unhealthy foods available in the school cafeteria (e.g., Snapple 100% Natural, Oven-Baked Lays, chocolate chip cookies). Our pre-registered hypotheses were limited to the first two of these three categories but we included the third for exploratory purposes. Results for the third (exploratory) category were substantively identical (i.e., in magnitude and significance level) to those using the popular unhealthy items and so they are not discussed further. The procedure comprised 150 trials (50 per food category). Students were asked to make a dichotomous rating of each of the series of 150 target Chinese characters as “pleasant” or “unpleasant.” (Instructions made clear that this rating was intended to be relative to other similar characters.) We administered the AMP during Session 2 of the intervention but a problem with the school’s Wi-Fi connection prevented us from saving the data from the majority of participants. We corrected the technical issue in time to re-administer the AMP 2 weeks post-intervention and again 3 months post-intervention (at the end of the school year). The analysis of the AMP data described in the main text refers to a mixed effects repeated measures analysis with time points nested within individuals
Behavior.
Cafeteria Purchases.
The school district provided data on all purchase choices by participating students for the entire school year. Before the researchers had access to the cafeteria purchase data, each snack and drink item was classified either as healthy or unhealthy. The pre-registered analysis focused on the change in healthy and junk food choices from pre- to post-intervention, by condition. The reported effects of intervention condition on cafeteria purchases in the main text refer to results of a multilevel mixed effects linear probability model with days nested within individuals (see Supplementary Results 1).
Snack pack order form (1 week post-intervention).
Before the intervention, the school principal announced that 8th graders would have the opportunity to select their own snack pack as a reward for completing the state-wide standardized tests. Students completed the snack pack order forms in their homerooms (a different setting from the one in which they had received the treatment). Teachers instructed students to complete the snack pack order forms with no discussion and without looking at any other students’ forms. Students completed the forms immediately upon arriving at their first-period class.
In contrast to the initial evaluation study17, in which the order form was distributed the day after the intervention, in the present study, the form was administered 1 week after the intervention (because the present intervention required two class periods rather than one and the school administration expressed a preference that we not take up class time in three consecutive days in the same week). No condition differences were observed on students’ snack pack choices in the present study. (This is the only pre-registered hypothesis that was not supported. See Supplementary Results 1 for further discussion of this topic.)
Summary of measurement time points.
Below is a brief summary of the study’s measurement timeline in chronological order.
Pre-intervention period (baseline).
We obtained a pre-intervention measure of cafeteria purchases. Those data comprise records of all 8th-grade students’ daily cafeteria purchases from the start of the school year through the day before the intervention began. We also obtained information about students’ demographic characteristics and pre-intervention body mass index from the school’s administrative data system.
Intervention Session 1.
After completing the intervention activities in Session 1, participants completed the measures of perceived alignment of healthy eating with adolescent values and social status appeal of healthy eating.
Intervention Session 2.
After completing the intervention activities in Session 2, participants completed the measures of explicit affective reactions to junk food marketing and the AMP. As is noted above, data from this first administration of the AMP were only successfully saved for a small number of participants due to a problem with the school’s Wi-Fi connection.
1. week post-intervention.
One week after the intervention was over, participants completed the snack pack order form.
2. weeks post-intervention.
Two weeks after the intervention was over, participants completed the AMP for the second time.
3. months post-intervention (single time point).
Three months after the intervention was over, participants completed the AMP for the third and final time.
Post-intervention period (3 months, continuous).
Daily cafeteria purchases were measured beginning the day after the intervention was over through the end of the school year.
Supplementary Material
Acknowledgements:
The authors are grateful to Carol Dweck, Ronald Dahl, Jane Risen, Bart Bonikowski, Geoff Cohen, Sherman James, Kirsten Wysen, and Kristy Pathakis for helpful feedback on previous drafts, to Andre Audette, Quinn Hirschi, Fortunato (Nick) Medrano, and members of the Adolescent Development Research Group for help with data collection, and to Andrew Kim and the staff at the participating school district for their partnership and support.
Funding: Financial support to develop the intervention and carry out data analysis was provided in part by grants from The Character Lab (PI: C.J.B, Co-I: D.S.Y.), the Templeton Foundation, via the University of Chicago New Paths to Purpose project (PI: C.J.B., Co-I: D.S.Y.), the William T. Grant Foundation (PI: D.S.Y.), and the National Institute of Child Health and Human Development (Grant No. 10.13039/100000071 R01HD084772–01 (PI: D.S.Y.); and Grant No. P2C-HD042849, to the Population Research Center at The University of Texas at Austin). Preparation of this manuscript was supported by a fellowship from the FMC faculty research fund at the University of Chicago’s Booth School of Business (to C.J.B.), a fellowship from the Center for Advanced Study in the Behavioral Sciences at Stanford University (to C.J.B.) and by a William T. Grant Scholars award (to D.S.Y.).
Footnotes
Data availability: The data that support the findings of this experiment are available upon request from the Population Research Center at the University of Texas, Austin, for researchers who agree to terms of data use, including analysis on a secure server and prohibitions against any analysis that risks exposing the identity of participating students (i.e., deductive disclosure). Requests for data should be directed to Elizabeth Johnson at ejohnson@prc.utexas.edu.
Code availability: The syntax used to produce all the results reported in this article is available at https://osf.io/2wuh3/.
Competing interests: The authors have no competing interests.
References
- 1.Kessler DA The End of Overeating: Taking Control of the Insatiable American Appetite (Rodale Books, 2009). [Google Scholar]
- 2.Moss M Salt, Sugar, Fat: How the Food Giants Hooked Us (Random House,2013). [Google Scholar]
- 3.Nestle M Food marketing and childhood obesity—a matter of policy. N.Engl. J. Med. 354, 2527–2529 (2006). [DOI] [PubMed] [Google Scholar]
- 4.Hastings G & Cairns G in Preventing Childhood Obesity: Evidence Policyand Practice 120–128 (Wiley-Blackwell, 2010). [Google Scholar]
- 5.Harris JL, Pomeranz JL, Lobstein T & Brownell KD A crisis in themarketplace: how food marketing contributes to childhood obesity and whatcan be done. Annu. Rev. Public Health 30, 211–225 (2009). [DOI] [PubMed] [Google Scholar]
- 6.Swinburn BA et al. The global obesity pandemic: shaped by global driversand local environments. Lancet 378, 804–814 (2011). [DOI] [PubMed] [Google Scholar]
- 7.Forouzanfar MH et al. Global, regional, and national comparative riskassessment of 79 behavioural, environmental and occupational, and metabolicrisks or clusters of risks in 188 countries, 1990–2013: a systematic analysis forthe Global Burden of Disease Study 2013. Lancet 386, 2287–2323 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Gakidou E et al. Global, regional, and national comparative risk assessmentof 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 390, 1345–1422 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kleinert S & Horton R Rethinking and reframing obesity. Lancet 385,2326–2328 (2015). [DOI] [PubMed] [Google Scholar]
- 10.Wang YC, McPherson K, Marsh T, Gortmaker SL & Brown M Healthand economic burden of the projected obesity trends in the USA and the UK.Lancet 378, 815–825 (2011). [DOI] [PubMed] [Google Scholar]
- 11.Bailey R Evaluating calorie intake. Data Science Campus https://datasciencecampus.ons.gov.uk/eclipse/(2018). [Google Scholar]
- 12.NCHS Nutrition Data https://www.cdc.gov/nchs/data/factsheets/factsheet_nutrition.htm (National Center for Health Statistics, 2013)..
- 13.Rose G Sick individuals and sick populations. Int. J. Epidemiol. 30,427–432 (1985). [DOI] [PubMed] [Google Scholar]
- 14.Rose G The Strategy of Preventive Medicine (Oxford Univ. Press, 1992). [Google Scholar]
- 15.Kobes A, Kretschmer T, Timmerman G & Schreuder P Interventions aimed at preventing and reducing overweight/obesity among children and adolescents: a meta-synthesis. Obes. Rev. 19, 1065–1079 (2018). [DOI] [PubMed] [Google Scholar]
- 16.Dahl RE, Allen NB, Wilbrecht L & Suleiman AB Importance of investing in adolescence from a developmental science perspective. Nature 554, 441–450 (2018). [DOI] [PubMed] [Google Scholar]
- 17.Bryan CJ et al. Harnessing adolescent values to motivate healthier eating. Proc. Natl Acad. Sci. USA 113, 10830–10835 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Stice E, Shaw H & Marti CN A meta-analytic review of obesity prevention programs for children and adolescents: the skinny on interventions that work. Psychol. Bull 132, 667–691 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Steinberg L How to improve the health of American adolescents. Perspect. Psychol. Sci. 10, 711–715 (2015). [DOI] [PubMed] [Google Scholar]
- 20.Ainslie G Specious reward: a behavioral theory of impulsiveness and impulse control. Psychol. Bull. 82, 463–496 (1975). [DOI] [PubMed] [Google Scholar]
- 21.Vansteenkiste M, Simons J, Lens W, Sheldon KM & Deci EL Motivating learning, performance, and persistence: the synergistic effects of intrinsic goal contents and autonomy-supportive contexts. J. Pers. Soc. Psychol. 87, 246–260 (2004). [DOI] [PubMed] [Google Scholar]
- 22.Lee KH, Siegle GJ, Dahl RE, Hooley JM & Silk JS Neural responses to maternal criticism in healthy youth. Soc. Cogn. Affect. Neurosci 10, 902–912 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Damon W, Menon J & Bronk KC The development of purpose during adolescence. Appl. Dev. Sci. 7, 119–128 (2003). [Google Scholar]
- 24.Robinson TN Save the world, prevent obesity: piggybacking on existing social and ideological movements. Obesity 18, 17–22 (2010). [DOI] [PubMed] [Google Scholar]
- 25.Telzer EH, Fuligni AJ, Lieberman MD & Galván A Neural sensitivity to eudaimonic and hedonic rewards differentially predict adolescent depressive symptoms over time. Proc. Natl Acad. Sci. USA 111, 6600–6605 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Yeager DS et al. Boring but important: a self-transcendent purpose for learning fosters academic self-regulation. J. Pers. Soc. Psychol. 107, 559–580 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Lai CK et al. Reducing implicit racial preferences: II. Intervention effectiveness across time. J. Exp. Psychol. Gen. 145, 1001–1016 (2016). [DOI] [PubMed] [Google Scholar]
- 28.Payne BK, Vuletich HA & Lundberg KB The bias of crowds: how implicit bias bridges personal and systemic prejudice. Psychol. Inq. 28, 233–248 (2017). [Google Scholar]
- 29.Gawronski B & Bodenhausen GV Associative and propositional processes in evaluation: an integrative review of implicit and explicit attitude change. Psychol. Bull 132, 692–731 (2006). [DOI] [PubMed] [Google Scholar]
- 30.Gawronski B & Bodenhausen GV The associative–propositional evaluation model: theory, evidence, and open questions.Adv. Exp. Soc. Psychol. 44, 59–127 (2011). [Google Scholar]
- 31.Mann TC & Ferguson MJ Can we undo our first impressions? The role of reinterpretation in reversing implicit evaluations. J. Pers. Soc. Psychol. 108, 823–849 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Inspiring Tobacco-Free Lives Truthinitiatives.org https://truthinitiative.org/truth%C2%AE-campaign (2015).
- 33.Kraft MA Interpreting Effect Sizes of Education Interventions. Harvard.edu; https://scholar.harvard.edu/files/mkraft/files/kraft_2018_interpreting_effect_sizes.pdf (2018). [Google Scholar]
- 34.Payne BK, Cheng CM, Govorun O & Stewart BD An inkblot for attitudes: affect misattribution as implicit measurement. J. Pers. Soc. Psychol. 89, 277–293 (2005). [DOI] [PubMed] [Google Scholar]
- 35.Payne K & Lundberg K The affect misattribution procedure: ten years of evidence on reliability, validity, and mechanisms: affect misattribution procedure. Soc. Pers. Psychol. Compass 8, 672–686 (2014). Nature Human Behaviour | www.nature.com/nathumbehav [Google Scholar]
- 36.Thompson JK, Heinberg LJ, Altabe M & Tantleff-Dunn S Exacting Beauty: Theory, Assessment, and Treatment of Body Image Disturbance (American Psychological Association, 1999). [Google Scholar]
- 37.Thaler RH & Sunstein CR Nudge: Improving Decisions About Health, Wealth, and Happiness (Yale Univ. Press, 2008). [Google Scholar]
- 38.Bryan CJ, Walton GM & Dweck CS Psychologically authentic versus inauthentic replication attempts. Proc. Natl Acad. Sci. USA 113, E6548 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Yeager DS & Walton GM Social-psychological interventions in education: they’re not magic. Rev. Educ. Res. 81, 267–301 (2011). [Google Scholar]
- 40.Walton GM The new science of wise psychological interventions. Curr. Dir. Psychol. Sci. 23, 73–82 (2014). [Google Scholar]
- 41.Cialdini RB Crafting normative messages to protect the environment. Curr. Dir. Psychol. Sci. 12, 105–109 (2003). [Google Scholar]
- 42.Aronson E The power of self-persuasion. Am. Psychol. 54, 875–884 (1999). [Google Scholar]
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