Predictors of fruit and vegetable intake in young adulthood
- PMID: 22698924
- PMCID: PMC3402589
- DOI: 10.1016/j.jand.2012.03.035
Predictors of fruit and vegetable intake in young adulthood
Abstract
Few young adults meet national recommendations to consume at least 2 c fruit and 2 to 3 c vegetables daily. Effective strategies and messaging are needed to address this disparity, but research examining influences on fruit and vegetable (F/V) intake during young adulthood has been limited and primarily cross-sectional. This study was conducted to identify 5-year and 10-year longitudinal predictors of F/V intake in young adulthood. The sample included 476 male and 654 female participants enrolled in a population-based cohort study (Projects EAT-I, II, and III [Eating and Activity in Teens and Young Adults]). Participants completed surveys and food frequency questionnaires in Minneapolis/St Paul, MN, high school classrooms in 1998-1999 (mean age=15.8 years, adolescence) and follow-up measures in 2003-2004 (mean age=20.4 years, emerging adulthood) and 2008-2009 (mean age=26.2 years, young adulthood). In young adulthood, average daily intake was 0.9 servings of fruit (excluding juice) and 1.8 servings of vegetables (excluding potatoes). Factors examined in adolescence and in emerging adulthood that were predictive of F/V intake in young adulthood included favorable taste preferences, fewer perceived time barriers to healthy eating, higher home availability of F/V, and limited home availability of unhealthy foods. Analyses also identified additional factors that were specifically relevant to fruit (eg, breakfast patterns) or vegetable intake (eg, home food preparation) and of particular relevance during emerging adulthood (eg, significant other's healthy eating attitudes). Findings suggest individual and socioenvironmental factors, particularly food preferences and home food availability, during adolescence and emerging adulthood may influence F/V intake in young adulthood.
Copyright © 2012 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.
Similar articles
-
Whole-grain intake correlates among adolescents and young adults: findings from Project EAT.J Am Diet Assoc. 2010 Feb;110(2):230-7. doi: 10.1016/j.jada.2009.10.034. J Am Diet Assoc. 2010. PMID: 20102850
-
Longitudinal trajectories and prevalence of meeting dietary guidelines during the transition from adolescence to young adulthood.Am J Clin Nutr. 2019 Mar 1;109(3):656-664. doi: 10.1093/ajcn/nqy333. Am J Clin Nutr. 2019. PMID: 30831584 Free PMC article.
-
Fruit and vegetable intake correlates during the transition to young adulthood.Am J Prev Med. 2008 Jul;35(1):33-37. doi: 10.1016/j.amepre.2008.03.019. Epub 2008 May 14. Am J Prev Med. 2008. PMID: 18482818
-
Fruit and vegetable availability: a micro environmental mediating variable?Public Health Nutr. 2007 Jul;10(7):681-9. doi: 10.1017/S1368980007441441. Epub 2007 Feb 20. Public Health Nutr. 2007. PMID: 17381953
-
Eating behaviour of Indonesian adolescents: a systematic review of the literature.Public Health Nutr. 2021 Jun;24(S2):s84-s97. doi: 10.1017/S1368980020002876. Epub 2020 Sep 10. Public Health Nutr. 2021. PMID: 32907682 Free PMC article.
Cited by
-
Examining the Efficacy of a 'Feasible' Nudge Intervention to Increase the Purchase of Vegetables by First Year University Students (17-19 Years of Age) in British Columbia: A Pilot Study.Nutrients. 2019 Aug 2;11(8):1786. doi: 10.3390/nu11081786. Nutrients. 2019. PMID: 31382395 Free PMC article.
-
Choosing healthier foods in recreational sports settings: a mixed methods investigation of the impact of nudging and an economic incentive.Int J Behav Nutr Phys Act. 2014 Jan 22;11:6. doi: 10.1186/1479-5868-11-6. Int J Behav Nutr Phys Act. 2014. PMID: 24450763 Free PMC article.
-
Analysis of Eating Habits and Body Composition of Young Adult Poles.Nutrients. 2021 Nov 15;13(11):4083. doi: 10.3390/nu13114083. Nutrients. 2021. PMID: 34836335 Free PMC article.
-
Home food environment and associations with weight and diet among U.S. adults: a cross-sectional study.BMC Public Health. 2021 Jun 1;21(1):1032. doi: 10.1186/s12889-021-11102-2. BMC Public Health. 2021. PMID: 34074262 Free PMC article.
-
Applying the information-motivation-behavioral skills model to explain adolescents' fruits and vegetables consumption.Appetite. 2020 Apr 1;147:104546. doi: 10.1016/j.appet.2019.104546. Epub 2019 Dec 3. Appetite. 2020. PMID: 31809812 Free PMC article.
References
-
- Raitakari OT, Porkka KV, Rasanen L, Viikari JS. Relations of life-style with lipids, blood pressure and insulin in adolescents and young adults. The Cardiovascular Risk in Young Finns Study. Atherosclerosis. 1994;111(2):237–246. - PubMed
-
- French S, Harnack L, Jeffery R. Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioral and demographic correlates. Int J Obesity. 2000;24(10):1353–1359. - PubMed
-
- Pereira M, Kartashov A, Ebbeling C, et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet. 2005;365(9453):36–42. - PubMed
-
- Steffen LM, Kroenke CH, Yu X, et al. Associations of plant food, dairy product, and meat intakes with 15-y incidence of elevated blood pressure in young black and white adults: the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Am J Clin Nutr. 2005;82(6):1169–1177. quiz 1363–1164. - PubMed
-
- Pereira M, Jacobs D, Horn LV, Slattery M, Kartashov A, Ludwig D. Dairy consumption, obesity, and the insulin resistance syndrome in young adults: The CARDIA Study. JAMA. 2002;287(16):2081–2089. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources