Research Article| Volume 50, ISSUE 10, P977-983, November 2018

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Assessing Physical Activity, Fruit, Vegetable, and Sugar-Sweetened Beverage Intake Patterns of College Students in Kansas



      To test the effectiveness of a 15-month intervention for reducing sugar-sweetened beverage (SSB) intake among college students and assess fruit and vegetable (F/V) intake and physical activity (PA) habits and their relationship to SSB intake.


      Randomized, controlled study.


      A total of 156 college students (aged 18–24 years) from a Kansas university, mostly female (72%), white (89%), and freshmen (51%).


      Two-staged intervention included participants receiving: (1) 3 weekly stage-tailored messages on healthful behaviors for 10 weeks; and (2) 3 monthly stage-tailored messages and 1 monthly e-mail encouraging a visit to the portal page, after the 3-month physical assessment.

      Main Outcome Measure(s)

      Stages of change for PA and F/V intake, self-reported PA scores, self-reported F/V intake, and SSB intake habits.


      Generalized linear mixed models and linear regression models were used to test changes and associations among outcome measures.


      No significant decrease occurred in SSB consumption (P > .05) among intervention participants. Both control and intervention groups recorded low F/V intake and moderate PA scores.

      Conclusions and Implications

      Low F/V intake and high SSB intake evident among study participants may pose risk for unwanted weight gain and obesity-related conditions. Furthermore, college campuses can continue to support an environment conducive for being physically active, while promoting healthy eating behaviors.

      Key Words

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        • American College Health Association
        American College Health Association–National College Health Assessment II: Reference Group Executive Summary Spring 2016.
        American College Health Association, Hanover, MD2016
        • Dor A.
        • Ferguson C.
        • Langwith C.
        • Tan E.
        A heavy burden: the individual costs of being overweight and obese in the United States.
        The George Washington University, School of Public Health and Health Services, Department of Health Policy, Washington, DC2010
        • World Health Organization
        Obesity: preventing and managing the global epidemic.
        World Health Organ Tech Rep. 2000; 894: 1-12
        • Wang Y.C.
        • McPherson K.
        • Marsh T.
        • Gortmaker S.L.
        • Brown M.
        Health and economic burden of the projected obesity trends in the USA and the UK.
        Lancet. 2011; 378: 815-825
        • Finkelstein E.A.
        • Trogdon J.G.
        • Cohen J.W.
        • Dietz W.
        Annual medical spending attributable to obesity: payer-and service-specific estimates.
        Health Aff. 2009; 28: w822-w831
        • Eckel R.H.
        • Krauss R.M.
        American heart association call to action: obesity as a major risk factor for coronary heart disease.
        Circulation. 1998; 97: 2099-2100
        • Huffman L.
        • West D.S.
        Readiness to change sugar-sweetened beverage intake among college students.
        Eat Behav. 2007; 8: 10-14
        • Cradock A.L.
        • McHugh A.
        • Mont-Ferguson H.
        • et al.
        Effect of school district policy change on consumption of sugar-sweetened beverages among high school students, Boston, Massachusetts, 2004–2006.
        Prev Chronic Dis. 2011; 8: A74
        • Willett W.
        • Manson J.
        • Liu S.
        Glycemic index, glycemic load, and risk of type 2 diabetes.
        Am J Clin Nutr. 2002; 76: 274S-280S
        • Malik V.S.
        • Schulze M.B.
        • Hu F.B.
        Intake of sugar-sweetened beverages and weight gain: a systematic review.
        Am J Clin Nutr. 2006; 84: 274-288
        • Duffey K.J.
        • Popkin B.M.
        Adults with healthier dietary patterns have healthier beverage patterns.
        J Nutr. 2006; 136: 2901-2907
        • Di Noia J.
        • Prochaska J.O.
        Dietary stages of change and decisional balance: a meta-analytic review.
        Am J Health Behav. 2010; 34: 618-632
        • Kolundžija K.
        • Gajić Z.
        • Mišić-Pavkov G.
        • Srdanović-Maraš J.
        Core constructs of the transtheoretical model of behavior change.
        Curr Top Neurol Psychiatr Relat Discip. 2011; 19: 48-52
        • Prochaska J.O.
        Decision making in the transtheoretical model of behavior change.
        Med Decis Making. 2008; 28: 845-849
        • Prochaska J.O.
        • Prochaska J.M.
        Behavior change.
        in: Nash D.B. Reifsnyder J. Fabius R.J. Pracilio V.P. Population Health: Creating a Culture of Wellness. Jones & Bartlett, 2010: 23-41
        • Brown O.
        • Quick V.
        • Colby S.
        • et al.
        Recruitment lessons learned from a tailored web-based health intervention Project YEAH (Young Adults Eating and Active for Health).
        Health Educ. 2015; 115: 470-479
        • Kattelmann K.K.
        • Bredbenner C.B.
        • White A.A.
        • et al.
        The effects of Young Adults Eating and Active for Health (YEAH): a theory-based Web-delivered intervention.
        J Nutr Educ Behav. 2014; 46: S27-S41
        • Kattelmann K.K.
        • White A.A.
        • Greene G.W.
        • et al.
        Development of Young Adults Eating and Active for Health (YEAH) internet-based intervention via a community-based participatory research model.
        J Nutr Educ Behav. 2014; 46: S10-S25
        • Johnson S.S.
        • Paiva A.L.
        • Cummins C.O.
        • et al.
        Transtheoretical model-based multiple behavior intervention for weight management: effectiveness on a population basis.
        Prev Med. 2008; 46: 238-246
        • Lach H.W.
        • Everard K.M.
        • Highstein G.
        • Brownson C.A.
        Application of the transtheoretical model to health education for older adults.
        Health Promot Pract. 2004; 5: 88-93
        • West D.S.
        • Bursac Z.
        • Quimby D.
        • et al.
        Self-reported sugar-sweetened beverage intake among college students.
        Obesity (Silver Spring). 2006; 14: 1825-1831
        • Thompson F.E.
        • Midthune D.
        • Subar A.F.
        • Kahle L.L.
        • Schatzkin A.
        • Kipnis V.
        Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fibre.
        Public Health Nutr. 2004; 7: 1097-1106
        • Craig C.L.
        • Marshall A.L.
        • Sjostrom M.
        • et al.
        International physical activity questionnaire: 12-country reliability and validity.
        Med Sci Sports Exerc. 2003; 35: 1381-1395
        • International Physical Activity Questionnaire Research Committee
        Guidelines for data processing and analysis of the international physical activity questionnaire (IPAQ)—Short and long forms.
        Date: 2005
        Date accessed: September 22, 2017
        • Popkin B.M.
        • Duffey K.
        • Gordon-Larsen P.
        Environmental influences on food choice, physical activity and energy balance.
        Physiol Behav. 2005; 86: 603-613
        • Ha E.
        • 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
        • Schulze M.B.
        • Manson J.E.
        • Ludwig D.S.
        • et al.
        Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women.
        JAMA. 2004; 292: 927-934
        • St-Onge M.
        • Rubiano F.
        • DeNino W.
        • et al.
        Added thermogenic and satiety effects of a mixed nutrient vs a sugar-only beverage.
        Int J Obes. 2004; 28: 248-253
        • Nielsen S.J.
        • Popkin B.M.
        Changes in beverage intake between 1977 and 2001.
        Am J Prev Med. 2004; 27: 205-210
        • US Department of Health and Human Services
        Bone health and osteoporosis: a report of the Surgeon General.
        Date: 2004
        Date accessed: December 26, 2013
        • Ranjit N.
        • Evans M.H.
        • Byrd-Williams C.
        • Evans A.E.
        • Hoelscher D.M.
        Dietary and activity correlates of sugar-sweetened beverage consumption among adolescents.
        Pediatrics. 2010; 126: e754-e761
        • Armstrong C.
        • Sallis J.
        • Hovell M.
        • Hofstetter C.
        Stages of change, self-efficacy, and the adoption of vigorous exercise: a prospective analysis.
        J Sport Exerc Psychol. 1993; 15: 390-402
        • Ma J.
        • Betts N.
        • Horacek T.
        • Georgiou C.
        • White A.
        Assessing stages of change for fruit and vegetable intake in young adults: a combination of traditional staging algorithms and food-frequency questionnaires.
        Health Educ Res. 2003; 18: 224-236
        • Dietary Guidelines Advisory Committee
        Dietary Guidelines for Americans 2015–2020.
        Government Printing Office, Washington, DC2015
        • Nelson M.C.
        • Story M.
        • Larson N.I.
        • Neumark-Sztainer D.
        • Lytle L.A.
        Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change.
        Obesity (Silver Spring). 2008; 16: 2205-2211
        • Dour C.A.
        • Horacek T.M.
        • Schembre S.M.
        • et al.
        Process evaluation of Project Webhealth: a nondieting Web-based intervention for obesity prevention in college students.
        J Nutr Educ Behav. 2013; 45: 288-295
        • Liu R.H.
        Health benefits of fruit and vegetables are from additive and synergistic combinations of phytochemicals.
        Am J Clin Nutr. 2003; 78: 517S-520S
        • Van Duyn M.A.S.
        • Pivonka E.
        Overview of the health benefits of fruit and vegetable consumption for the dietetics professional: selected literature.
        J Am Diet Assoc. 2000; 100: 1511-1521