Racial and sex differences of fruit and vegetable self-efficacy and intake among college students in a rural, southern location

References

• Adams ML, Grandpre J, Katz DL, Shenson D. Linear associations between number of modifiable risk factors and multiple chronic conditions: Results from the Behavioral Risk Factor Surveillance System. Prev Med. 2017;105:169–175.
   PubMed Web of Science ®Google Scholar
• Boeing H, Bechthold A, Bub A. Critical review: Vegetables and fruit in the prevention of chronic diseases. Eur J Nutr. 2012;51(6):637–663.
   PubMed Web of Science ®Google Scholar
• Maynard M, Gunnell D, Emmett P, Frankel S, Smith GD. Fruit, vegetables, and antioxidants in childhood and risk of adult cancer: The Boyd Orr cohort. J Epidemiol Commun Health. 2003;57(3):218–225.
   PubMed Web of Science ®Google Scholar
• Serdula MK, Gillespie C, Kettel-Khan L, Farris R, Seymour J, Denny C. Trends in fruit and vegetable consumption among adults in the United States: Behavioral Risk Factor Surveillance System, 1994–2000. Am J Public Health. 2004;94(6):1014–1018.
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. State-specific trends in fruit and vegetable consumption among adults – Unites States, 2000–2009. Morb Mortal Wkly Rep. 2010;59(35):1125–1130.
   PubMedGoogle Scholar
• Centers for Disease Control and Prevention. Adults meeting fruit and vegetable intake recommendations – United States, 2013. Morb Mortal Wkly Rep. 2015;64(26):709–713.
   Google Scholar
• Centers for Disease Control and Prevention. Disparities in state-specific adult fruit and vegetable consumption – United States, 2015. Morb Mortal Wkly Rep. 2017;66(45):1241–1247.
   PubMed Web of Science ®Google Scholar
• US Department of Health and Human Services. Healthy People 2020 Leading Health Indicators: Nutrition, Physical Activity, and Obesity. Available at: https://www.healthypeople.gov/sites/default/files/HP2020_LHI_Nut_PhysActiv.pdf. Accessed November 13, 2017.
   Google Scholar
• Brown O, O’Connor L, Savaiano D. Mobile MyPlate: A pilot study using text messaging to provide nutrition education and promote better dietary choices in college students. J Am Coll Health. 2014;62(5):320–327.
   PubMed Web of Science ®Google Scholar
• Ha E, 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(2):103–109.
   PubMed Web of Science ®Google Scholar
• Huang T, Harris K, Lee R, Nazir N, Born W, Kaur H. Assessing overweight, obesity, diet, and physical activity in college students. J Am Coll Health. 2003;52(2):83–86.
   PubMed Web of Science ®Google Scholar
• Kang J, Ciecierski CC, Malin EL, et al. A latent class analysis of cancer risk behaviors among U.S. college students. Prev Med. 2014;64:121–125.
   PubMed Web of Science ®Google Scholar
• Kolodinsky J, Harvey-Berino JR, Berlin L, Johnson RK, Reynolds TW. Knowledge of current dietary guidelines and food choice by college students: Better eaters have higher knowledge of dietary guidance. J Am Diet Assoc. 2007;107(8):1409–1413.
   PubMed Web of Science ®Google Scholar
• Wald A, Muennig P, O'Connell K, Garber C. Associations between healthy lifestyle behaviors and academic performance in U.S. undergraduates: A secondary analysis of the American College Health Association's National College Health Assessment II. Am J Health Promot. 2014;28(5):298–305.
   PubMed Web of Science ®Google Scholar
• American College Health Association. National College Health Assessment II: Fall 2016 Reference Group Data Report. Available at: http://www.acha-ncha.org/docs/NCHA-II_FALL_2016_REFERENCE_GROUP_DATA_REPORT.pdf. Accessed November 13, 2017.
   Google Scholar
• American College Health Association. Healthy Campus 2020: Student Objectives. Available at: http://www.acha.org/HealthyCampus/Objectives/Student_Objectives/HealthyCampus/Student_Objectives.aspx?hkey=a9f191de-243b-41c6-b913-c012961ecab9. Accessed November 13, 2017.
   Google Scholar
• Adams T, Colner W. The association of multiple risk factors with fruit and vegetable intake among a nationwide sample of college students. J Am Coll Health. 2008;56(4):455–461.
   PubMed Web of Science ®Google Scholar
• McLean-Meyinsse P, Harris E, Taylor S, Gager J. Examining college students' daily consumption of fresh fruits and vegetables. J Food Distrib Res. 2013;44(1):10–16.
   Google Scholar
• Adams T, Rini A. Predicting 1-year change in body mass index among college students. J Am Coll Health. 2007;55(6):361–366.
   PubMed Web of Science ®Google Scholar
• Brown LB, Dresen RK, Eggett DL. College students can benefit by participating in a prepaid meal plan. J Am Diet Assoc. 2005;105(3):445–448.
   PubMed Web of Science ®Google Scholar
• Dodd LJ, Al-Nakeeb Y, Nevill A, Forshaw MJ. Lifestyle risk factors of students: A cluster analytical approach. Prev Med. 2010;51(1):73–77.
   PubMed Web of Science ®Google Scholar
• Li K-K, Concepcion RY, Lee H, et al. An examination of sex differences in relation to the eating habits and nutrient intakes of university students. J Nutr Educ Behav. 2012;44(3):246–250.
   PubMed Web of Science ®Google Scholar
• Matthews J, Doerr L, Dworatzek P. University students intend to eat better but lack coping self-efficacy and knowledge of dietary recommendations. J Nutr Educ Behav. 2016;48(1):12–19.
   PubMed Web of Science ®Google Scholar
• Brunt A, Rhee Y, Zhong L. Differences in dietary patterns among college students according to body mass index. J Am Coll Health. 2008;56(6):629–634.
   PubMed Web of Science ®Google Scholar
• Bandura A. Self-efficacy: Toward a unifying theory of behavioral change. Psychol Rev. 1977;84(2):191–215.
   PubMed Web of Science ®Google Scholar
• Bandura A. Self-efficacy mechanism in human agency. Am Psychol. 1982;37(2):122–147.
   Web of Science ®Google Scholar
• Franko DL, Cousineau TM, 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(4):369–377.
   PubMed Web of Science ®Google Scholar
• Bandura A. Self-Efficacy: The Exercise of Control. New York, NY: Freeman; 1997.
   Google Scholar
• Contento IR, Randell JS, Basch CE. Review and analysis of evaluation measures used in nutrition education intervention research. J Nutr Educ Behav. 2002;34(1):2–25.
   PubMed Web of Science ®Google Scholar
• Van Duyn MA, Kristal AR, Dodd K. Association of awareness, intrapersonal and interpersonal factors, and stage of dietary change with fruit and vegetable consumption: A national survey. Am J Health Promot. 2001;16(2):69–78.
   PubMed Web of Science ®Google Scholar
• Blanchette L, Brug J. Determinants of fruit and vegetable consumption among 6-12-year-old-children and effective interventions to increase consumption. J Hum Nutr Diet. 2005;18(6):431–443.
   PubMed Web of Science ®Google Scholar
• Bruening M, Kubik MY, Kenyon D. Perceived barriers mediate the association between self-efficacy and fruit and vegetable consumption among students attending alternative high schools. J Am Diet Assoc. 2010;110(10):1542–1546.
   PubMedGoogle Scholar
• Graham DJ, Laska MN. Nutrition label use partially mediates the relationship between attitude toward healthy eating and overall dietary quality among college students. J Acad Nutr Diet. 2012;112(3):414–418.
   PubMed Web of Science ®Google Scholar
• Kreausukon P, Gellert P, Lippke S, Schwarzer R. Planning and self-efficacy can increase fruit and vegetable consumption: A randomized controlled trial. J Behav Med. 2012;35(4):443–451.
   PubMed Web of Science ®Google Scholar
• Marr J, Wilcox S. Self-efficacy and social support mediate the relationship between internal health locus of control and health behaviors in college students. Am J Health Educ. 2015;46(3):122–131.
   Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. About adult BMI. Available at: https://www.cdc.gov/healthyweight/assessing/bmi/adult_bmi/index.html. Accessed November 3, 2017.
   Google Scholar
• US Department of Health and Human Services, & US Department of Agriculture. 2015–2020 Dietary Guidelines for Americans (8th edition). Available at: http://health.gov/dietaryguidelines/2015/guidelines/. Accessed November 3, 2017.
   Google Scholar
• Norman P, Conner M. The theory of planned behaviour and binge drinking: Assessing the moderating role of the past behaviour within the theory of planned behaviour. Br J Health Psychol. 2006;11(1):55–70.
   PubMed Web of Science ®Google Scholar
• DeBate RD, Topping M, Sargent RG. Racial and gender differences in weight status and dietary practices among college students. Adolescence 2001;36(144):819–833.
   PubMed Web of Science ®Google Scholar
• Heller J, Sarmiento A. Health behaviors of culturally diverse inner-city community college students. J Am Coll Health. 2016;64(8):651–663. doi: 10.1080/07448481.2016.1223674.
   PubMed Web of Science ®Google Scholar
• Schroeter C, House L, Lorence A. Fruit and vegetable consumption among college students in Arkansas and Florida: Food culture vs. health knowledge. Int Food Agribusiness Mngmnt Rev. 2007;10(3):63–89.
   Google Scholar
• Georgiou C, Betts N, Hoerr S, et al. Among young adults, college students and graduates practiced more healthful habits and made more healthful choices than did nonstudents. J Am Diet Assoc. 1997;97(7):754–759.
   PubMed Web of Science ®Google Scholar
• Larson N, Laska MN, Story M, Neumark-Sztainer D. Predictors of fruit and vegetable intake in young adulthood. J Acad Nutr Diet. 2012;112(8):1216–1222.
   PubMed Web of Science ®Google Scholar
• Harmon BE, Forthofer M, Bantum EO, Nigg CR. Perceived influence and college students’ diet and physical activity behaviors: An examination of ego-centric social networks. BMC Public Health. 2016;16(1):1–10.
   PubMedGoogle Scholar
• Granner ML, Sargent RG, Calderon KS, Hussey JR, Evans AE, Watkins KW. Factors of fruit and vegetable intake by race, gender, and age among young adolescents. J Nutr Educ Behav. 2004;36(4):173–180.
   PubMed Web of Science ®Google Scholar
• Luszczynska A, Tryburcy M, Schwarzer R. Improving fruit and vegetable consumption: A self-efficacy intervention compared with a combined self-efficacy and planning intervention. Health Educ Res. 2006;22(5):630–638.
   PubMed Web of Science ®Google Scholar
• Freisling H, Haas K, Elmadfa I. Mass media nutrition information sources and associations with fruit and vegetable consumption among adolescents. Public Health Nutr. 2010;13(2):269–275.
   PubMed Web of Science ®Google Scholar
• Kim HS, Lee SM, Yuan JJ. Assessing college students' satisfaction with university foodservice. J Foodservice Busi Res. 2012;15(1):39–48.
   Google Scholar
• Joung H-W, Kim H-S, Choi E-K, Kang H-O, Goh BK. University foodservice in South Korea: A study of comparison between university-operated restaurant and external foodservice contractors. J Foodservice Busi Res. 2011;14(4):405–413.
   Google Scholar
• Nanney MS, Lytle LA, Farbakhsh K, et al. Weight and weight-related behaviors among 2-year college students. J Am Coll Health. 2015;63(4):221–229.
   PubMed Web of Science ®Google Scholar
• Plotnikoff RC, Costigan SA, Williams RL, et al. Effectiveness of interventions targeting physical activity, nutrition and healthy weight for university and college students: A systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2015;12(1):45. (
   PubMed Web of Science ®Google Scholar
• LaChausse RG. My student body: Effects of an internet-based prevention program to decrease obesity among college students. J Am Coll Health. 2012;60(4):324–330.
   PubMed Web of Science ®Google Scholar
• Levi A, Chan K, Pence D. Real men do not read labels: The effects of masculinity and involvement on college students' food decisions. J Am Coll Health. 2006;55(2):91–98.
   PubMed Web of Science ®Google Scholar
• US Department of Health and Human Services. Healthy People 2020: Educational and Community-Based Programs. Available at: https://www.healthypeople.gov/2020/topics-objectives/topic/educational-and-community-based-programs. Accessed November 20, 2017.
   Google Scholar