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. Author manuscript; available in PMC: 2020 Apr 13.
Published in final edited form as: Am J Prev Med. 2010 Mar 15;38(5):543–547. doi: 10.1016/j.amepre.2010.01.026

Effects of a College Course About Food and Society on Students’ Eating Behaviors

Eric B Hekler 1, Christopher D Gardner 2, Thomas N Robinson 3
PMCID: PMC7153746  NIHMSID: NIHMS1578740  PMID: 20227847

Abstract

Background:

Health education programs for promoting a healthful diet have shown limited success in clinical trials.

Purpose:

This paper aims to examine whether an innovative educational course focused on societal-level issues related to food and food production (Food and Society) would promote healthful eating among college students.

Methods:

A quasi-experimental non-RCT was conducted to compare changes in eating behaviors among students taking the Food and Society course (n = 28) versus students taking health-related human biology courses about obesity, health psychology, and community health assessment (n = 72). All participants were undergraduates. A Food Frequency Questionnaire was administered at the beginning and end of the four courses taught from January through March 2009. Students in the Food and Society course read selected portions of popular books and essays (e.g., Michael Pollan’s Omnivore’s Dilemma) and watched documentaries (e.g., Aaron Woolf’s King Corn) highlighting environmental, ethical, social justice, cultural, political, and agricultural issues related to food and food production, and discussed these major themes during class sessions. In addition, students were required to (1) write an Op-Ed article and (2) create a brief YouTube video focused on themes discussed in the course.

Results:

The students who took the Food and Society course reported signifıcantly improving their healthful eating (F[2, 97] = 5.72, p = 0.02), with greatest improvements in increased vegetable (F[2, 97] = 10.96, p = 0.001) and decreased high-fat dairy (F[2, 97] = 5.39, p = 0.02) intakes relative to the comparison group.

Conclusions:

The results suggest that it may be possible to change dietary behaviors in college students by focusing on social, ethical, cultural, and environmental issues related to food and food production.

Introduction

Improving dietary behaviors for disease prevention is challenging.1 Many medical/public health interventions emphasize health-related outcomes as motivators for behavior change (e.g., weight loss) but focus less on rewarding aspects of the behavior changes themselves (i.e., the process of behavior change).2,3 Interventions may work better if they address process motivation.2

If process motivation is emphasized, interventions may not need to focus on health. These are called stealth interventions because the primary focus is promoting behavior change via a motivating process for the participant (e.g., dance classes for adolescent girls)4 that, as a side effect, influences a health outcome that the clinician/ policymaker deems important (e.g., physical activity).2,5 Effective TV-viewing reduction and physical activity interventions for children and families used this stealth intervention model.4,6

Social/ideological movements are other potentially powerful process motivators.2,3 Some existing and emerging social/ideological movements share behavioral goals with healthful living, including environmental sustainability, animal rights, social justice, labor rights, cultural movements, and agricultural reform (subsequently referred to as food-related social issues).2,3 For example, engagement in environmental sustainability might encourage eating more fresh vegetables and fruits and less processed foods, meat, and dairy. Therefore, it was hypothesized that a course about food-related social issues would function as a stealth intervention to motivate college students to consume more vegetables and fruits and less high-fat meat, high-fat dairy, processed foods, and sweets.

Methods

This study used a quasi-experimental, nonrandomized control group design. Data were collected at the beginning and end of four college courses (January through March 2009). The experimental course “Food and Society: Exploring Eating Behaviors in a Social, Environmental and Policy Context” (Food and Society), taught by the authors, focused on food-related social issues, but did not focus on health issues, and thus was designed as a stealth intervention. Students read selected portions of popular books,714 and watched documentaries,1517 and then discussed major themes in class. Assignments included writing and submitting an Op-Ed article (a newspaper opinion article) and creating a YouTube video in small groups, advocating for behavior change related to a course theme. To promote engagement, students were encouraged to fınd food-related social issue organizations and events and to share their experiences.

Three comparison courses—“Health Psychology,” “Community Assessment/Health,” and “Obesity: Clinical/Societal Implications”—were selected because they also were upper-level Human Biology courses, were delivered the same quarter, and were taught by experienced health promotion researchers and focused on a health message.

Dietary intake was assessed with items adapted from the Harvard Food Frequency Questionnaire (FFQ)18 and scored as servings per week within food categories (vegetables, fruits, high-fat dairy, high-fat meats, processed foods, and sweets). Students also rated the importance to them of six values: eating a healthful diet, staying physically fıt, environmental sustainability, animal rights, social justice, and ethics and morality (Table 1) using items demonstrated to have satisfactory reliability and validity among college students (unpublished data). The protocol was approved by the Stanford University Panel on Human Subjects in Medical Research.

Table 1.

Demographics, values, and outcome variable statistics, % unless otherwise indicated

Variables
Comparison courses (n=72)
Food and society course (n=28)
Demographics Pre Post Pre Post
Female 80.6 82.1
Race/ethnicity
 White 45.8 46.4
 Asian/Asian-American 12.5 35.7
 African-American/black 11.1 7.1
 Other race/ethnicity 15.3 3.6
 Multiracial 15.3 7.1
Grade level
 Sophomore 13.9 7.1
 Junior 38.9 39.3
 Senior 44.4 46.4
 Other 2.8 7.1
Majora
 Human biology 56.9 82.1
 Psychology 33.3 0.0
 Other 8.3 17.9
Lost to follow-up 13.9 10.3
Overweight (BMI>25)b 4.2 0.0
Values variables (M±SD)c
 Importance of environmental sustainabilityd 1.8±0.8 1.7±0.9 2.0±0.9 2.3±1.1**
 Importance of animal rightsd 1.3±0.9 1.2±0.9 1.5±1.0 1.8±1.1**
 Importance of eating a healthful dietd 2.6±0.9 2.5±0.9 2.7±0.9 3.0±0.9**
 Importance of staying physically fit 2.7±1.2 2.6±1.0 2.9±1.1 3.0±1.0
 Importance of social justice 2.9±1.1 2.8±1.1 2.8±1.0 2.8±1.0
 Importance of ethics and morality 3.2±1.1 3.1±1.1 3.0±1.1 3.0±1.0
Servings per week of dietary intake variablese (M±SD)
 Healthful diet scored 3.1±1.6 3.3±1.6 3.3±1.5 4.0±1.6**
 Vegetablesd 27.9±19.3 25.5±17.4** 27.9±14.1 32.1±17.5**
 High-fat dairyd 8.7±6.2 8.3±5.8 8.5±6.5 6.3±4.8***
 High-fat meat 4.2±3.7 3.8±3.5 4.0±4.1 3.1±4.4*
 Sweets 7.7±5.6 7.7±5.6 8.6±5.0 7.1±4.6*
 Fruits 13.0±9.2 13.4±9.5 14.6±7.6 16.1±8.6
 Processed foods 4.9±4.3 4.8±4.2 5.0±4.2 3.6±2.3
a

There were significantly more psychology majors in the comparison courses relative to the Food and Society course (p = 0.004). There were no other differences between groups at baseline on any of the demographic; values (all p’s>0.23); or servings per week intake (all p’s 0.40) variables. Baseline group differences in demographic variables were tested with chi-square analyses.

b

Based on self-reported heights and weights. One participant in the control group and two participants in the intervention group did not report weight at baseline.

c

These survey items were phrased as Compared to other things in your life, [issue] is: Not at all important compared to other things in your life (coded 0); Less important (1); About as important (2); More important (3); Just about the most important (4); The very most important (5).

d

ANCOVA predicting changes in each variable controlling for baseline values indicated significant differences between courses for these variables.

e

High-fat dairy includes whole milk, ice cream, cream cheese, other cheese, margarine, and butter. High-fat meat includes bacon, hot dogs, hamburgers, processed meats (e.g., sausage, salami, and bologna), beef, pork, or lamb in a sandwich or as a main dish. Sweets include chocolate, candy without chocolate, pie or cakes, and cookies. Processed foods include fast food, soda, french fries, and processed snack food.

Pre to Post within-group changes were tested with paired-sample t-tests

*

p<0.10

**

p<0.05

***

p<0.01.

Statistical Analyses

All analyses were conducted in 2009. There were no differences among the three comparison courses on any eating variables from the FFQ, so their data were aggregated. Within-group pre–post changes were tested with paired sample t-tests. Differences between the Food and Society course and comparison courses were assessed using ANCOVA, with changes in outcome behaviors/values as the dependent variable; group assignment (Food and Society or Comparison) as the independent variable; and baseline value of the dependent variable as a covariate. An intent-to-treat analysis was used (baseline values carried forward when post-test data were missing). To reduce the potential influence of outliers, Winsorization was used (replacing values greater than the 95th percentile with the 95th percentile value).19

To test the overall impact of the Food and Society course, a healthful diet score was calculated using baseline median splits for each food category. At each time point, intakes at or above the baseline median for vegetable and fruit consumption, and those at or below the baseline median for high-fat meat, high-fat dairy, processed foods, and sweets were given a + 1 on the healthful diet score (possible range = 0 – 6), following an established method.20

Results

Table 1 summarizes all results. There were more psychology majors in the comparison courses than in the Food and Society course (p = 0.004), but there were no other signifıcant differences between the two groups on any other demographic, value, or outcome variables at baseline. Food and Society students reported signifıcant, within-group improvements in vegetable (p = 0.03) and high-fat dairy (p = 0.006) consumption and near-signifıcant improvements in sweets (p 0.08) and high-fat meat (p = 0.06) consumption. The comparison group reported no improvements (p’s>0.14) and a decrease in vegetable consumption (p = 0.03).

The Food and Society course signifıcantly improved overall healthful eating relative to the comparison group (F[2, 97] = 5.72, p = 0.02). Vegetable consumption increased (F[2, 97] = 10.96, p = 0.001) and high-fat dairy consumption decreased (F[2, 97] = 5.39, p = 0.02) in the Food and Society course relative to the comparison group. The Food and Society course also signifıcantly increased students’ beliefs in the importance of the environment (F[2, 97] = 10.64, p = 0.002); animal rights (F[2, 97] = 9.92 p = 0.002); and healthful diet (F[2, 97] = 8.08, p = 0.005) relative to the comparison group.

Discussion

A course focused on food-related social issues improved healthful eating compared to courses focused on health issues. The Food and Society course also increased the strength of students’ beliefs regarding the importance of the environment, animal rights, and eating healthful food. This increase was greater than that for the comparison students, suggesting a potential mechanism for making dietary improvements.

These fındings suggest that food-related social issues may be more motivating for the process of dietary behavior change than health-related issues (see Robinson2,3). If this is true, the demonstrated short-term improvements in eating resulting from this stealth approach may more readily translate into long-term behavior change. This possibility requires further empirical testing.

The implications of the present study are also notable because young adults are at high risk for weight gain and associated cardiovascular disease risks.21,22 New approaches are needed for this age group, and a college course is relatively easy to disseminate.

There were several limitations to this pilot study. Students were not randomly assigned into courses. Students predisposed to making healthful dietary changes may have been more likely to enroll in a course entitled “Food and Society,” and there were more psychology majors in the comparison courses, creating a potential threat to internal validity.23 Therefore, differences observed between groups may be unrelated to course effectiveness. Although this possibility cannot be ruled out, there were no signifıcant differences between courses at baseline regarding any of the measured dietary behaviors or values (Table 1). Further, using health-related courses is a particularly rigorous comparison condition because they likely attract students predisposed to behavior change, and may prompt dietary behavior change themselves.

All participants were undergraduates at an uppertier academic institution. It is not known if this intervention would be as effective among a less-educated group. Nonetheless, food justice, labor rights, and other related movements exist in urban and low-income areas,2,3 supporting the potential generalizability of the approach. Finally, although engagement in food-related social issues was encouraged, the experimental course focused primarily on increasing knowledge and awareness. However, anecdotal evidence during and after the course suggested that a number of students did become more engaged in food-related social issues.

Conclusion and Future Directions

These results suggest a potentially innovative behavior change approach. The results are consistent with the stealth intervention model, suggesting that intervention effectiveness can be improved by focusing on process motivations rather than outcomes, and they do not need to explicitly address health topics.2,3 Future studies in other samples should examine similar interventions, mechanisms whereby social issues influence behavior change and their potential ability to maintain behavior change.

Acknowledgments

EBH was supported by Public Health Service Training Grant 5 T32 HL 007034 from the National Heart, Lung, and Blood Institute. The funding agency was not involved in any aspect of the design or conduct of the study.

Footnotes

No fınancial disclosures were reported by the authors of this paper.

Contributor Information

Eric B. Hekler, Stanford Prevention Research Center, Department of Pediatrics, Stanford University School of Medicine, Stanford, California.

Christopher D. Gardner, Stanford Prevention Research Center, Department of Pediatrics, Stanford University School of Medicine, Stanford, California.

Thomas N. Robinson, Stanford Prevention Research Center, Division of General Pediatrics , Department of Pediatrics, Stanford University School of Medicine, Stanford, California.

References

  • 1.Brunner E, Rees K, Ward K, Burke M, Thorogood M. Dietary advice for reducing cardiovascular risk. Cochrane Database Syst Rev 2007;3:CD002128. [DOI] [PubMed] [Google Scholar]
  • 2.Robinson TN. Stealth interventions for obesity prevention and control: motivating behavior change In: Dube L, Bechara A, Dagher A, et al. , eds. Obesity prevention: the role of brain and society on individual behavior. New York: Elsevier, In press. [Google Scholar]
  • 3.Robinson TN. Save the world, prevent obesity: piggybacking on existing social and ideological movements. Obesity 2010;18(Suppl 1): S17–22. [DOI] [PubMed] [Google Scholar]
  • 4.Robinson TN, Killen JD, Kraemer HC, et al. Dance and reducing television viewing to prevent weight gain in African-American girls: the Stanford GEMS pilot study. Ethn Dis 2003;13(1S 1):S65–77. [PubMed] [Google Scholar]
  • 5.Robinson TN, Sirard JR. Preventing childhood obesity: a solution-oriented research paradigm. Am J Prev Med 2005;28(2S 2):194–201. [DOI] [PubMed] [Google Scholar]
  • 6.Robinson TN. Reducing children’s television viewing to prevent obesity. JAMA 1999;282(16):1561–7. [DOI] [PubMed] [Google Scholar]
  • 7.Wansink B. Mindless eating: why we eat more than we think. New York: Bantam Books, 2007. [Google Scholar]
  • 8.Nestle M. Food politics: how the food industry influences nutrition and health. Berkeley: University of California Press, 2003. [Google Scholar]
  • 9.Pollan M. The omnivore’s dilemma: a natural history of four meals. New York: Penguin Books, 2006. [Google Scholar]
  • 10.Schlosser E. Fast food nation: the dark side of the all-American meal. New York: Harper Perennial, 2002. [Google Scholar]
  • 11.Singer P, Mason J. The ethics of what we eat: why our food choices matter. Emmaus PA: Rodale, 2006. [Google Scholar]
  • 12.Kingsolver B. Animal, vegetable, miracle: a year of food life. New York: Harper Perennial, 2007. [Google Scholar]
  • 13.Menzel P, D’Aluisio F. Hungry planet: what the world eats. Berkeley CA: Ten Speed Press and Material World Books, 2007. [Google Scholar]
  • 14.Jacobson MF. Six arguments for a greener diet: how a plant-based diet could save your health and the environment. Washington DC: Center for Science in the Public Interest, 2006. [Google Scholar]
  • 15.Spurlock M. Super size me. Samuel Goldwyn Pictures, 2004. [Google Scholar]
  • 16.Geyrhalter N. Unser taglich Brot (Our Daily Bread). Austria, 2005. Produced by: Nikolaus Geyrhalter Filmproduktion; distributed by AUTLOOK Filmsales. [Google Scholar]
  • 17.Woolf A. King Corn. U.S, 2007. Produced by ITVS and Mosaic Films; distributed by Balcony Releasing. [Google Scholar]
  • 18.Rimm EB, Giovannucci EL, Stampfer MJ, Colditz GA, Willett WC. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol 1992;135(10):1114–26. [DOI] [PubMed] [Google Scholar]
  • 19.Tukey JW. The future of data analysis. Ann Math Stat 1962; 33(1):1–67. [Google Scholar]
  • 20.Trichopoulou A, Costacou T, Barnia C, Trichopoulos D. Adherence to a Mediterranean diet and survival in a Greek population. N Engl J Med 2003;348(26):2599–608. [DOI] [PubMed] [Google Scholar]
  • 21.Lewis CE, Jacobs DRJ, McCreath H, et al. Weight gain continues in the 1990s: 10-year trends in weight and overweight from the CARDIA study. Coronary artery risk development in young adults. Am J Epidemiol 2000;151(12): 1172–81. [DOI] [PubMed] [Google Scholar]
  • 22.Lloyd-Jones DM,Kiang L,Colangelo LA,et al. Consistentlystableordecreased body mass index in young adulthood and longitudinal changes in metabolic syndrome components. Circulation 2007;115(8):1004–11. [DOI] [PubMed] [Google Scholar]
  • 23.Cook TD, Campbell DT. Quasi-experimentation: design and analysis issues for fıeld settings. Boston: Houghton Mifflin, 1979. [Google Scholar]

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