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Nutrients
  • Article
  • Open Access

7 June 2020

“It’s Healthy Because It’s Natural.” Perceptions of “Clean” Eating among U.S. Adolescents and Emerging Adults

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1
Department of Psychology, Dickinson College, P.O. Box 1773, Carlisle, PA 17013, USA
2
Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
3
Division of Adolescent Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
*
Author to whom correspondence should be addressed.
This article belongs to the Section Nutrition and Public Health

Abstract

Definitions for the culturally trendy “clean” eating phenomenon vary: whereas some characterize it as natural and healthy, others adopt more restrictive, moralizing, and affectively-laden definitions that may reflect disordered eating. We examined levels of familiarity with “clean” eating, sources of information, and perceptions of this dietary trend among a large, diverse sample of U.S. adolescents and emerging adults recruited from the National MyVoice Text Message Cohort (n = 1266; ages 14–24 years). Participants answered five questions assessing knowledge of “clean” eating, definitions, perceived healthiness vs. harm, and willingness to adopt “clean” eating, and responses were coded by three trained researchers. Results indicate that 55% of respondents had previously heard of “clean” eating, most commonly through social media, other online sources, and peers. Definitions were heterogeneous, with 40% offering “non-processed” or “whole foods” and 13% noting “non-GMO” or “organic” components. Few respondents (0.6%) expressed outright skepticism about “clean” eating, but many (30%) identified dietary avoidance and restriction as part of the definition. Overall, 71% characterized “clean” eating as a healthy approach, whereas 6% flagged it as “unhealthy”, and 18% noted elements of both healthfulness and harm. Notably, 41% reported they “probably would” try “clean” eating themselves, with greater willingness to try “clean” eating among cisgender women. Present findings highlight high levels of awareness and positive attitudes toward “clean” eating among young people in the U.S., with little recognition of the potential risks of dietary restriction. Further research should examine actual dietary behaviors to clarify potential risks of “clean” eating and related trends and thus inform strategies for eating disorder prevention.

1. Introduction

Dieting is a popular endeavor, particularly when it is framed as a health pursuit; a 2019 survey of over 1000 U.S. adults indicated that 38% had followed a diet over the past year, of which “clean” eating was the most commonly cited diet []. “Clean” diets and labels are heterogeneous entities, without clear definitions or oversight from regulatory authorities, resulting in their broad usage by industry and varied interpretation by consumers []. For instance, whereas some “clean” diets emphasize the consumption of whole, unprocessed foods, others involve eliminating entire food groups such as dairy, refined sugar, wheat, and “alkaline” foods [,]. While “clean” recipes may be no more nutritious than matched control recipes [], the pursuit of “wellness” through “clean” eating is closely tied to the values of healthism, an approach that singularly focuses on individual responsibility to pursue health []. Although pursuers of “wellness” benefit from social acceptance and ‘moral citizenship’ [], the cultural moralization of eating behavior, signaled by the ambiguous language of “clean” (vis à vis “dirty”) foods could increase harmful dietary restriction and preoccupation with so-called “healthy” eating among vulnerable groups including individuals at risk for eating disorders. Furthermore, cultural preoccupations with “clean” eating may promote dichotomous thinking, an approach characterized by extreme “all bad” or “all good” views toward food.
Although dieting is a well-established risk factor for disordered eating in adolescents and young adults [,,,,,], research linking the two has historically focused on diets explicitly branded for weight loss. However, research also suggests that following a special diet (e.g., vegan/raw, paleo, gluten-free) may be linked with higher rates of eating disorders [], evidence that is particularly salient within the backdrop of a burgeoning wellness industrial complex [,]. Nonetheless, the impact of new waves of “wellness” focused diets remains poorly understood.
“Clean” diets may require particular scrutiny for their ability to mask eating disorder symptoms as ostensibly “healthy” behaviors and thereby prevent detection and intervention []. Indeed, research suggests that positive attitudes toward “clean” diets are linked with disordered eating attitudes and behaviors [] and those who followed advice from “clean” eating websites exhibited higher dietary restraint, a risk factor for disordered eating []. Although not yet recognized as a standalone diagnosis, research suggests that orthorexia nervosa (ON) reflects an unhealthy preoccupation with healthy eating, one associated with substantial distress and functional impairment mirroring eating disorder psychopathology [,]. Moreover, the National Eating Disorder Association suggests that the “clean” eating trend may be associated with ON [], and scholars often describe ON as an extreme variant of “clean” eating (e.g., [,,]). Thus, “clean” eating may involve excessive dietary restriction resembling an eating disorder [] and thereby increase risk for nutritional deficiencies []. Even more concerning is the potentially expansive reach of “clean” diets: individuals who may not have been susceptible to dietary restriction for weight loss may be vulnerable to new diet approaches promoting the obsessive pursuit of wellbeing []. For instance, a recent pilot investigation reported generally favorable perceptions of “clean” diets among a small sample of U.S. undergraduates, even when those diets were linked with substantial distress and dysfunction []. Thus, these new dietary approaches need to be better understood, particularly among a larger swath of adolescents and young adults, in order to facilitate macro-level eating disorder prevention, a key priority for eating disorder research [,].
Whereas research suggests that adolescents and emerging adults are particularly susceptible to dieting and disordered eating [], perceptions of “wellness” oriented diets among adolescents and emerging adults remain poorly understood. Further understanding of how young people view “clean” eating could inform prevention and intervention efforts to reduce risk for nutritional deficiencies and disordered eating and thereby promote public health. Thus, the purpose of the current exploratory study was to examine impressions of “clean” eating and gender differences in attitudes toward “clean” diets among a large, diverse sample of young people in the United States.

2. Method

2.1. Participants

Participants were from the MyVoice Text Message Cohort (n = 1266 respondents; []). A group of individuals aged 14–24 years were recruited via targeted Facebook and Instagram ads to match national demographics based on weighted samples from the 2016 American Community Survey (ACS). Demographic features for those who responded to at least one question on the current survey (n = 1020) are reported in Table 1. This study was approved by the University of Michigan Institutional Review Board (HUM00119982). Participants provided consent online and were compensated $1 for responding to the survey.
Table 1. Demographic features of respondents.

2.2. Measures

Demographics. Participants self-reported age, gender, race, zip code, marital status, education level (self and parent/guardian), and socioeconomic status as part of their registration in the MyVoice cohort. We did not assess current dietary behaviors. Additional details about the cohort have previously been published [].
Perceptions and attitudes toward “clean” eating questions. Participants were prompted to answer five predominantly open-ended questions about “clean” eating, described as “an approach to eating that has been getting a lot of attention lately.” Questions were presented individually in the following order and could not be answered retroactively: (1) Have you previously heard about “clean” eating? If so, how did you hear about it? (2) How would you define “clean” eating? (3) “Clean” eating usually means eating natural, whole foods, and strictly avoiding processed foods. Knowing that, what is your opinion of “clean” eating? (4) Do you think “clean” eating is healthy or harmful? Tell us why. (5) How likely would you be to try “clean” eating for yourself? (1 = probably will not try it; 2 = not sure; 3 = probably will try it). Questions were pilot-tested with the MyVoice team prior to administration.

2.3. Procedure

Participants responded to questions via text message between January–February 2019. Due to the carefully curated nature of the MyVoice cohort and the use of captcha and text message response procedures for providing consent [], there were no concerns about random responding by bots. All responses were checked by the primary author (S.A.) to exclude nonsensical or implausible answers (e.g., strings of letters or digits, random answers that did not match the questions) and correct any misalignments in data due to the text messaging system (e.g., long responses that might have carried over to the next column of data). After data cleaning, the number of total respondents varied by question (n = 945–1020).

2.4. Data Analyses

For the open-ended questions, length of responses varied from 2 to 967 characters, with specific character counts per question as follows: question 1 (M = 32.35, SD = 36.22), question 2 (M = 54.47, SD = 40.49), question 3 (M = 75.92, SD = 69.35), and question 4 (M = 93.26, SD = 76.27). We used qualitative content analysis to code responses to these questions to capture nuances and identify distinct themes based on the data []. Analysis proceeded in four phases. First, the primary author (S.A.) generated initial themes based on reviewing the first 100 responses for each question. The investigative team (S.A., K.R.S., T.K.R.) then reviewed those data to generate additional themes and reached a consensus on primary themes. Second, the themes were clarified and revised slightly based on feedback from coding 25 additional responses by three coders (K.L.R., G.S., H.S.). Third, these coders independently coded the responses for each question in the data set (responses could be coded for multiple themes). Inter-coder reliability was determined by calculating agreement between all three coders. A total of 151 responses (~15% of total responses) were triple-coded, at which point agreement statistics consistently indicated over 90% agreement. Fourth, two coders (K.L.R., H.S.) independently coded the remaining responses and the third coder (G.S.) received the double-coded responses in batches, calculated agreement at each round, and provided continuous clarification on the final themes. Final estimates for interrater agreement ranged from 78–99% for each theme (M = 94.37%; SD = 0.06) and discrepancies were resolved by the third coder. We conducted frequency analyses (counts and percentages) to summarize the occurrence of various themes in participant responses. We then conducted exploratory chi-squared analyses of independence to compare interest in “clean” diets across gender categories, followed by Bonferroni-corrected post-hoc analyses to compare those who were interested versus unsure or uninterested in trying “clean” diets.

3. Results

Among those in the MyVoice cohort, 1020 participants provided interpretable responses to at least one of the questions in the current survey (80.57% response rate). Over half of the respondents had heard about “clean” eating (54.6%), and they reported learning about it from a wide variety of sources, with social media most commonly specified (see Table 2).
Table 2. Awareness of “clean” eating and sources of information.
Participant definitions of “clean” eating were heterogeneous, with many highlighting elements of perceived healthiness (38.7%), dietary restriction (29.7%), and processed or whole foods (39.7%), and few identifying weight loss goals (<1%), detoxification (2%) or outright skepticism about “clean” diets (<1%) as part of their definition (see Table 3). Participant opinions of “clean” eating included comments on its perceived healthiness (with 88.3% viewing it as healthy), impact on wellbeing (with 75% viewing it as having a positive impact), ambiguous opinions (of which 88% were positively hued), and ambivalent or neutral opinions (7.5%), and others highlighted financial considerations, feasibility, and environmental considerations in shaping their opinions (1.2–15.3%). When asked to identify whether “clean” eating was healthy or harmful, most respondents identified it as healthy (70.8%), but some participants identified elements of healthfulness and harm (18%), such as through increased risk for eating disorders. In terms of willingness to try “clean” eating, 24.1% (220/912) reported they probably would not try it, 41.2% (376/912) probably would, and 34.6% (316/912) were unsure.
Table 3. Definitions of “clean” eating, opinions, and perceptions of healthiness vs. harm.
A chi-squared analysis of independence comparing willingness to adopt “clean” diets across gender categories was significant, χ2 (6) = 34.56, p < 0.01, with 46.8% (249/532) of cisgender women, 37.6% (118/314) of cisgender men, and 13.6% (9/66) of those identifying with other genders reporting that they “probably would” try “clean” eating themselves. Post-hoc analyses using a Bonferroni correction compared respondents who “probably would” to those who would not or were unsure; results indicated significant differences between all gender groups, including, cisgender men and cisgender women (χ2 (1) = 6.84, p = 0.009)), cisgender women and other gender (χ2 (1) = 26.33, p < 0.001), and cisgender men and other gender (χ2 (1) = 14.05, p < 0.001), with greater willingness to try “clean” eating among cisgender women, followed by cisgender men, than their other gender counterparts.

4. Discussion

Dietary fads such as “clean” eating have potentially wide-reaching public health implications, ranging from increased eating disorder risk [] to the potential for nutritional deficiencies among vulnerable individuals []. Our findings suggest high levels of awareness, largely favorable impressions, and high levels of interest in pursuing “clean” eating in a large, diverse sample of U.S. adolescents and young adults. Although definitions varied widely, our data suggest that “clean” eating is frequently characterized by unprocessed or whole foods (such as raw foods, natural foods, or foods without artificial colors or flavors) and sometimes within the context of farming practices such as non-genetically modified (GMO), organic or environmentally-friendly/sustainable farming methods. These predominantly positive impressions may reflect the ways in which “clean” diets are marketed and the cultural moralization inherent in the language of clean/dirty. Moreover, a minority of respondents demonstrated awareness of the potential for harm conferred by “clean” eating pursuits. Public health messaging that highlights these risks may facilitate a more nuanced understanding about “clean” diets and related “wellness” health trends among a broader swath of young people.
Notably, very few participants identified weight loss or calorie reduction as key themes in their definition of “clean” eating, and although “clean” eating was frequently defined using language of dietary restriction, few respondents offered restrictive dietary behaviors as a potential harmful consequence of following “clean” diets. In a recent analysis of women bloggers’ experiences with orthorexia nervosa, participants reported that their diets were initially motivated by health problems (such as digestive issues) and a desire to be healthy, but that social influences (such as social comparisons of “healthiness”, and praise for pursuing “healthy” behaviors) and lack of awareness fueled their difficulties []. These data suggest that weight loss is likely not a defining feature for those who may eventually go on to pursue “clean” diets in an unhealthy manner, and that further research is needed to identify pathways that tip the balance from healthy to unhealthy pursuits.
Given recent calls to address macro-environmental factors for eating disorder risk [,], current findings signal a need to direct greater attention toward “clean” diets in prevention campaigns directed toward adolescents and young adults in the U.S. These results also suggest a need to promote social media literacy, which was identified as the top source of information for “clean” eating among our respondents. Indeed, social media is an important source of information about healthy eating (e.g., Facebook and Instagram are used to guide nutrition-related decision-making; []), but it is easy to imagine how social media promotion of “clean” eating can be harmful. For instance, one participant in a qualitative investigation described this process as follows: “Twitter and Instagram are filled with celebrities and health bloggers attributing their glowing appearance to eating ‘clean’… but in trying to emulate them, I became so obsessed with eating the perfect diet that it took over my life” (p. 598) [].
The present investigation is limited by our use of a cross-sectional survey design with a limited number of questions. We are thus unable to comment on how perceptions of “clean” diets are linked with actual dietary behaviors. Further, we defined “clean” diets mid-way through the survey (to assist those who had never heard of the term in completing the survey), and although we used both negative (“strict avoidance”) and positive (“natural, whole”) descriptors, our definition may have influenced willingness to try “clean” diets among participants. Moreover, although we measured definitions of “clean” eating, we did not directly assess motivational features underpinning the pursuit of “clean” diets and therefore cannot comment on the many reasons why people may pursue these diets.
Overall, our findings offer a useful glimpse into perspectives on the “clean” dietary trend from a large, diverse sample of young people in the U.S. Given the constantly evolving nature of dietary fads, researchers face an ongoing challenge to understand their impact. Nonetheless, future studies should assess actual dietary behaviors to investigate the potential benefits of “clean” diets and the mechanisms by which formerly healthy behaviors may devolve into disordered eating. For instance, the pursuit of “clean” diets may in some cases represent (and indeed, mask) underlying body dissatisfaction and related eating disorder symptomatology, and thus warrant further scrutiny to prevent harm. Future researchers may also seek to identify strategies for effective public health communication to mitigate the potential harms of these new waves of diets on vulnerable youth. Indeed, current findings suggest that “clean” eating holds different meanings for different people, so public health messaging must carefully consider these impressions and promote a more nuanced understanding that acknowledges the potential risks of such “wellness” oriented diet fads.

Author Contributions

Conceptualization, S.A., T.K.R., and K.R.S.; formal analysis, S.A., G.S., and K.L.R.; funding acquisition, S.A.; methodology, S.A., G.S., K.L.R., T.K.R., and K.R.S.; project administration, K.R.S.; supervision, S.A.; writing—original draft, S.A.; writing—review and editing, G.S., K.L.R., T.K.R., and K.R.S. All authors have read and agreed to the published version of the manuscript.

Funding

Participants were compensated though funding provided by a Research and Development Committee Scholarly/Creative Grant from Dickinson College. Funding for MyVoice was initially provided by the University of Michigan MCubed program and the Department of Family Medicine Building Blocks grant. None of these agencies had any role in the study design, collection, analysis or interpretation of the data, writing the manuscript, or the decision to submit the paper for publication.

Acknowledgments

The authors thank Harriet Sidford for her assistance with data coding.

Conflicts of Interest

The authors declare no conflict of interest.

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