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Research Article| Volume 49, ISSUE 6, P457-465.e1, June 2017

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Testing a Beverage and Fruit/Vegetable Education Intervention in a University Dining Hall

Published:March 28, 2017DOI:https://doi.org/10.1016/j.jneb.2017.02.003

      Abstract

      Objective

      To test the effect of a nutrition intervention that included education and 2 labeling components on students' food choices.

      Design

      Repeat cross-sectional study taking place on 6 dinner occasions before and 6 afterward.

      Setting

      The study was conducted during dinner meals in a buffet-style dining hall in a university campus residence, where students paid a set price and consumed all they cared to eat.

      Participants

      University students (n = 368 to 510) visited the cafeteria on each of the data collection dates.

      Intervention

      Fruit and vegetable consumption were encouraged; sugar-sweetened beverage consumption was discouraged using physical activity calorie equivalent labeling.

      Main Outcome Measures

      Beverage choices and vegetable/fruit bar visits.

      Analysis

      Logistic regression was used to compare the proportion of student who selected each beverage, fruit, or vegetable before and after the intervention, while controlling for menu and gender as covariates.

      Results

      There was a significant decrease in the proportion of students selecting a sugar-sweetened beverage before vs after the intervention (49% vs 41%, respectively; P = .004) and an increase in students choosing water (43% vs 54%, respectively; P < .001). There was a significant increase in students who took fruit after the intervention (36%; P < .001) vs before (30%). The number of students visiting the vegetable bar significantly increased from 60% to 72% (P < .001).

      Conclusions

      This intervention may be a way to encourage healthy dietary choices in campus dining halls.

      Key Words

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      References

        • Richards A.
        • Kattelmann K.K.
        • Ren C.
        Motivating 18- to 24-year-olds to increase their fruit and vegetable consumption.
        J Am Diet Assoc. 2006; 106: 1405-1411
        • Chung S.-J.
        • Hoerr S.L.
        Predictors of fruit and vegetable intakes in young adults by gender.
        Nutr Res. 2005; 25: 453-463
        • Horacek T.M.
        • Betts N.M.
        College students' dietary intake and quality according to their Myers Briggs Type indicator personality preferences.
        J Nutr Educ. 1998; 30: 387-395
        • Hampl J.S.
        • Betts N.M.
        Comparisons of dietary intake and sources of fat in low- and high-fat diets of 18- to 24-year-olds.
        J Am Diet Assoc. 1995; 95: 893-897
        • Anding J.D.
        • Suminski R.R.
        • Boss L.
        Dietary intake, body mass index, exercise, and alcohol: are college women following the dietary guidelines for Americans?.
        J Am Coll Health. 2001; 49: 167-171
        • Burke J.D.
        • Reilly R.A.
        • Morrell J.S.
        • Lofgren I.E.
        The University of New Hampshire's Young Adult Health Risk Screening Initiative.
        J Am Diet Assoc. 2009; 109: 1751-1758
        • Schuette L.K.
        • Song W.O.
        • Hoerr S.L.
        Quantitative use of the Food Guide Pyramid to evaluate dietary intake of college students.
        J Am Diet Assoc. 1996; 96: 453-457
        • Nielsen S.J.
        • Popkin B.M.
        Changes in beverage intake between 1977 and 2001.
        Am J Prev Med. 2004; 27: 205-210
        • Anderson D.A.
        • Shapiro J.R.
        • Lundgren J.D.
        The freshman year of college as a critical period for weight gain: an initial evaluation.
        Eat Behav. 2003; 4: 363-367
        • Wengreen H.J.
        • Moncur C.
        Change in diet, physical activity, and body weight among young-adults during the transition from high school to college.
        Nutr J. 2009; 8: 32
        • Hoffman D.J.
        • Policastro P.
        • Quick V.
        • Lee S.K.
        Changes in body weight and fat mass of men and women in the first year of college: a study of the “freshman 15.”.
        J Am Coll Health. 2006; 55: 41-45
        • Vella-Zarb R.A.
        • Elgar F.J.
        The “freshman 5”: a meta-analysis of weight gain in the freshman year of college.
        J Am Coll Health. 2009; 58: 161-166
        • Jung M.E.
        • Bray S.R.
        • Martin Ginis K.A.
        Behavior change and the freshman 15: tracking physical activity and dietary patterns in 1st-year university women.
        J Am Coll Health. 2008; 56: 523-530
        • Gropper S.S.
        • Simmons K.P.
        • Gaines A.
        • et al.
        The freshman 15—a closer look.
        J Am Coll Health. 2009; 58: 223-231
        • Butler S.M.
        • Black D.R.
        • Blue C.L.
        • Gretebeck R.J.
        Change in diet, physical activity, and body weight in female college freshman.
        Am J Health Behav. 2004; 28: 24-32
        • Nelson M.C.
        • Kocos R.
        • Lytle L.A.
        • Perry C.L.
        Understanding the perceived determinants of weight-related behaviors in late adolescence: a qualitative analysis among college youth.
        J Nutr Educ Behav. 2009; 41: 287-292
        • Yeh M.C.
        • Ickes S.B.
        • Lowenstein L.M.
        • et al.
        Understanding barriers and facilitators of fruit and vegetable consumption among a diverse multi-ethnic population in the USA.
        Health Promot Int. 2008; 23: 42-51
        • Matthews J.I.
        • Doerr L.
        • Dworatzek P.D.
        University students intend to eat better but lack coping self-efficacy and knowledge of dietary recommendations.
        J Nutr Educ Behav. 2016; 48: 12-19.e1
        • Block J.P.
        • Gillman M.W.
        • Linakis S.K.
        • Goldman R.E.
        “If it tastes good, I'm drinking it”: qualitative study of beverage consumption among college students.
        J Adolesc Health. 2013; 52: 702-706
        • Ha E.-J.
        • Caine-Bish N.
        Effect of nutrition intervention using a general nutrition course for promoting fruit and vegetable consumption among college students.
        J Nutr Educ Behav. 2009; 41: 103-109
        • Ha E.J.
        • Caine-Bish N.
        • Holloman C.
        • Lowry-Gordon K.
        Evaluation of effectiveness of class-based nutrition intervention on changes in soft drink and milk consumption among young adults.
        Nutr J. 2009; 8: 50
        • Ha E.J.
        • Caine-Bish N.
        Interactive introductory nutrition course focusing on disease prevention increased whole-grain consumption by college students.
        J Nutr Educ Behav. 2011; 43: 263-267
        • Matvienko O.
        • Lewis D.S.
        • Schafer E.
        A college nutrition science course as an intervention to prevent weight gain in female college freshmen.
        J Nutr Educ. 2001; 33: 95-101
        • Emrich T.E.
        • Mazier M.J.
        Impact of nutrition education on university students' fat consumption.
        Can J Diet Pract Res. 2009; 70: 187-192
        • Gow R.W.
        • Trace S.E.
        • Mazzeo S.E.
        Preventing weight gain in first year college students: an online intervention to prevent the “freshman fifteen.”.
        Eat Behav. 2010; 11: 33-39
        • Harvey-Berino J.
        • Pope L.
        • Gold B.C.
        • Leonard H.
        • Belliveau C.
        Undergrad and overweight: an online behavioral weight management program for college students.
        J Nutr Educ Behav. 2012; 44: 604-608
        • Franko D.L.
        • Cousineau T.M.
        • Trant M.
        • et al.
        Motivation, self-efficacy, physical activity and nutrition in college students: randomized controlled trial of an internet-based education program.
        Prev Med. 2008; 47: 369-377
        • Zifferblatt S.M.
        • Wilbur C.S.
        • Pinsky J.L.
        A new direction for public health care: changing cafeteria eating habits.
        J Am Diet Assoc. 1980; 76: 15-20
        • Buscher L.A.
        • Martin K.A.
        • Crocker S.
        Point-of-purchase messages framed in terms of cost, convenience, taste, and energy improve healthful snack selection in a college foodservice setting.
        J Am Diet Assoc. 2001; 101: 909-913
        • Freedman M.R.
        • Connors R.
        Point-of-purchase nutrition information influences food-purchasing behaviors of college students: a pilot study.
        J Am Diet Assoc. 2010; 110: 1222-1226
        • Vanderlee L.
        • Hammond D.
        Does nutrition information on menus impact food choice? Comparisons across two hospital cafeterias.
        Public Health Nutr. 2014; 17: 1393-1402
        • Vyth E.L.
        • Steenhuis I.H.
        • Heymans M.W.
        • Roodenburg A.J.
        • Brug J.
        • Seidell J.C.
        Influence of placement of a nutrition logo on cafeteria menu items on lunchtime food Choices at Dutch work sites.
        J Am Diet Assoc. 2011; 111: 131-136
        • Turconi G.
        • Bazzano R.
        • Roggi C.
        • Cena H.
        Helping consumers make a more conscious nutritional choice: acceptability of nutrition information at a cafeteria.
        Public Health Nutr. 2012; 15: 792-801
        • Ries C.P.
        • Schoon D.K.
        Evaluation of a cafeteria-based education program for college students.
        J Nutr Educ. 1986; 18: 107-110
        • Auchincloss A.H.
        • Young C.
        • Davis A.L.
        • Wasson S.
        • Chilton M.
        • Karamanian V.
        Barriers and facilitators of consumer use of nutrition labels at sit-down restaurant chains.
        Public Health Nutr. 2013; 16: 1-8
        • Cohen D.A.
        • Babey S.H.
        Contextual influences on eating behaviours: heuristic processing and dietary choices.
        Obes Rev. 2012; 13: 766-779
        • Cramer S.
        Food should be labelled with the exercise needed to expend its calories.
        BMJ. 2016; 353: i1856
        • Dowray S.
        • Swartz J.J.
        • Braxton D.
        • Viera A.J.
        Potential effect of physical activity based menu labels on the calorie content of selected fast food meals.
        Appetite. 2013; 62: 173-181
        • Antonelli R.
        • Viera A.J.
        Potential effect of Physical Activity Calorie Equivalent (PACE) labeling on adult fast food ordering and exercise.
        PLoS One. 2015; 10: e0134289
        • Viera A.J.
        • Antonelli R.
        Potential effect of physical activity calorie equivalent labeling on parent fast food decisions.
        Pediatrics. 2015; 135: e376-e382
        • James A.
        • Adams-Huet B.
        • Shah M.
        Menu labels displaying the kilocalorie content or the exercise equivalent: effects on energy ordered and consumed in young adults.
        Am J Health Promot. 2015; 29: 294-302
      1. Live Well Omaha—Make the Healthy Choice the Easy Choice. http://livewellomaha.org/. Accessed November 17, 2015.

        • Platkin C.
        • Yeh M.C.
        • Hirsch K.
        • et al.
        The effect of menu labeling with calories and exercise equivalents on food selection and consumption.
        BMC Obes. 2014; 1: 21
      2. Compendium of physical activities. https://sites.google.com/site/compendiumofphysicalactivities/. Accessed November 17, 2015.

        • Statistics Canada Health Statistics Division
        Canadian Health Measures Survey: Cycle 2 Data Tables 2009 to 2011.
        Health Canada, Ottawa, Canada2013
      3. Harvard School of Public Health. Healthy Eating Plate and Healthy Eating Pyramid. http://www.hsph.harvard.edu/nutritionsource/healthy-eating-plate/. Accessed November 18, 2015.

        • Rothman A.J.
        • Salovey P.
        Shaping perceptions to motivate healthy behavior: the role of message framing.
        Psychol Bull. 1997; 121: 3-19
        • Wansink B.
        • Pope L.
        When do gain-framed health messages work better than fear appeals?.
        Nutr Rev. 2015; 73: 4-11
        • Veitch J.
        • Singh A.
        • van Stralen M.M.
        • van Mechelen W.
        • Brug J.
        • Chinapaw M.J.
        Reduction in sugar-sweetened beverages is not associated with more water or diet drinks.
        Public Health Nutr. 2011; 14: 1388-1393
        • Cabrera Escobar M.A.
        • Veerman J.L.
        • Tollman S.M.
        • Bertram M.Y.
        • Hofman K.J.
        Evidence that a tax on sugar sweetened beverages reduces the obesity rate: a meta-analysis.
        BMC Public Health. 2013; 13: 1072
        • Wansink B.
        • Westgren R.E.
        • Cheney M.M.
        Hierarchy of nutritional knowledge that relates to the consumption of a functional food.
        Nutrition. 2005; 21: 264-268
      4. US Department of Agriculture Economic Research Service. Food Availability (per capita) Data System. https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/. Accessed December 28, 2015.

        • Boehm S.
        • Selves E.J.
        • Raleigh E.
        • Ronis D.
        • Butler P.M.
        • Jacobs M.
        College students' perception of vulnerability/susceptibility and desire for health information.
        Patient Educ Counsel. 1993; 21: 77-87
        • Davis-Chervin D.
        • Rogers T.
        • Clark M.
        Influencing food selection with point-of-choice nutrition information.
        J Nutr Educ. 1985; 17: 18-22
        • Wansink B.
        • Cao Y.
        • Saini P.
        • Shimizu M.
        • Just D.R.
        College cafeteria snack food purchases become less healthy with each passing week of the semester.
        Public Health Nutr. 2013; 16: 1291-1295