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Correlates of fruit and vegetable intake among parents and adolescents: findings from the Family Life, Activity, Sun, Health, and Eating (FLASHE) study

  • Courtney A Parks (a1), Casey Blaser (a1), Teresa M Smith (a1), Eric E Calloway (a1), April Y Oh (a2), Laura A Dwyer (a2), Benmai Liu (a2), Linda C Nebeling (a2) and Amy L Yaroch (a1)...

Abstract

Objective

The present study aimed to examine the correlates of fruit and vegetable intake (FVI) separately among parents and their adolescents.

Design

Cross-sectional surveys.

Setting

Online survey.

Subjects

Parents and adolescents completed the Family Life, Activity, Sun, Health, and Eating (FLASHE) survey through the National Cancer Institute. The survey assessed daily intake frequencies of food/beverage groups, psychosocial, parenting and sociodemographic factors. Generalized linear models were run for both parents and adolescents, for a total of six models (three each): (i) sociodemographic characteristics; (ii) psychosocial factors; (iii) parent/caregiver factors.

Results

Parent participants (n 1542) were predominantly 35–59 years old (86 %), female (73 %), non-Hispanic White (71 %) or non-Hispanic Black (17 %), with household income <$US 100 000 (79 %). Adolescents (n 805) were aged 12–14 years (50 %), non-Hispanic White (66 %) and non-Hispanic Black (15 %). Parents consumed 2·9 cups fruits and vegetables (F&V) daily, while adolescents consumed 2·2 cups daily. Educational attainment (higher education had greater FVI) and sex (men consumed more than women; all P<0·001) were significant FVI predictors. Parents with greater autonomous and controlled motivation, self-efficacy and preferences for fruit reported higher FVI (all P<0·001). Similarly, adolescents with greater autonomous and controlled motivation, self-efficacy and knowledge reported higher FVI (all P<0·001). Parenting factors of importance were co-deciding how many F&V teens should have, rules, having F&V in the home and cooking meals from scratch (all P<0·05).

Conclusions

Findings suggest factors that impact FVI among parents and their adolescent(s), which highlight the importance of the role of parent behaviour and can inform tailored approaches for increasing FVI in various settings.

Copyright

Corresponding author

*Corresponding author: Email cparks@centerfornutrition.org

References

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1. Ogden, CL, Carroll, MD, Kit, BK et al. (2014) Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA 311, 806814.
2. Dixon, JB (2010) The effect of obesity on health outcomes. Mol Cell Endocrinol 316, 104108.
3. Hammond, RA & Levine, R (2010) The economic impact of obesity in the United States. Diabetes Metab Syndr Obes 3, 285295.
4. Thorpe, KE, Florence, CS, Howard, DH et al. (2004) The impact of obesity on rising medical spending. Health Aff (Millwood) 23, 283283.
5. Wardle, J & Cooke, L (2005) The impact of obesity on psychological well-being. Best Pract Res Clin Endocrinol Metab 19, 421440.
6. Gross, LS, Li, L, Ford, ES et al. (2004) Increased consumption of refined carbohydrates and the epidemic of type 2 diabetes in the United States: an ecologic assessment. Am J Clin Nutr 79, 774779.
7. Young, LR & Nestle, M (2002) The contribution of expanding portion sizes to the US obesity epidemic. Am J Public Health 92, 246249.
8. Drewnowski, A (2004) Obesity and the food environment: dietary energy density and diet costs. Am J Prev Med 27, 154162.
9. Drewnowski, A & Specter, S (2004) Poverty and obesity: the role of energy density and energy costs. Am J Clin Nutr 79, 616.
10. Field, AE, Gillman, MW, Rosner, B et al. (2003) Association between fruit and vegetable intake and change in body mass index among a large sample of children and adolescents in the United States. Int J Obes Relat Metab Disord 27, 821826.
11. Michimi, A & Wimberly, MC (2010) Associations of supermarket accessibility with obesity and fruit and vegetable consumption in the conterminous United States. Int J Health Geogr 9, 49.
12. Panagiotakos, DB, Chrysohoou, C, Pitsavos, C et al. (2006) Association between the prevalence of obesity and adherence to the Mediterranean diet: the ATTICA study. Nutrition 22, 449456.
13. Togo, P, Osler, M, Sørensen, T et al. (2004) A longitudinal study of food intake patterns and obesity in adult Danish men and women. Int J Obes Relat Metab Disord 28, 583593.
14. Wang, Y, Ge, K & Popkin, BM (2003) Why do some overweight children remain overweight, whereas others do not? Public Health Nutr 6, 549558.
15. Cohen, JH, Kristal, AR & Stanford, JL (2000) Fruit and vegetable intakes and prostate cancer risk. J Natl Cancer Inst 92, 6168.
16. Hung, HC, Joshipura, KJ, Jiang, R et al. (2004) Fruit and vegetable intake and risk of major chronic disease. J Natl Cancer Inst 96, 15771584.
17. Centers for Disease Control and Prevention (2011) Fruit and vegetable consumption among high school students – United States, 2010. MMWR Morb Mortal Wkly Rep 60, 15831586.
18. Guenther, PM, Dodd, KW, Reedy, J et al. (2006) Most Americans eat much less than recommended amounts of fruits and vegetables. J Am Diet Assoc 106, 13711379.
19. Ho, SY, Wong, BYM, Lo, WS et al. (2010) Neighbourhood food environment and dietary intakes in adolescents: sex and perceived family affluence as moderators. Int J Pediatr Obes 5, 420427.
20. Williams, L, Ball, K & Crawford, D (2010) Why do some socioeconomically disadvantaged women eat better than others? An investigation of the personal, social and environmental correlates of fruit and vegetable consumption. Appetite 55, 441446.
21. Guillaumie, L, Godin, G & Vézina-Im, LA (2010) Psychosocial determinants of fruit and vegetable intake in adult population: a systematic review. Int J Behav Nutr Phys Act 7, 12.
22. Shaikh, AR, Yaroch, AL, Nebeling, L et al. (2008) Psychosocial predictors of fruit and vegetable consumption in adults: a review of the literature. Am J Prev Med 34, 535543.
23. De Bourdeaudhuij, I, te Velde, S, Brug, J et al. (2007) Personal, social and environmental predictors of daily fruit and vegetable intake in 11-year-old children in nine European countries. Eur J Clin Nutr 62, 834841.
24. Neumark-Sztainer, D, Wall, M, Perry, C et al. (2003) Correlates of fruit and vegetable intake among adolescents: findings from Project EAT. Prev Med 37, 198208.
25. Odum, M, Houseman, JM, Williams, RD et al. (2016) Predicting US adolescent fruit and vegetable consumption: which socio-ecological factors matter? Am J Health Stud 31, 213221.
26. McClain, AD, Chappuis, C, Nguyen-Rodriguez, ST et al. (2009) Psychosocial correlates of eating behavior in children and adolescents: a review. Int J Behav Nutr Phys Act 6, 54.
27. Pearson, N, Biddle, SJ & Gorely, T (2009) Family correlates of fruit and vegetable consumption in children and adolescents: a systematic review. Public Health Nutr 12, 267283.
28. Golan, M & Crow, S (2004) Parents are key players in the prevention and treatment of weight‐related problems. Nutr Rev 62, 3950.
29. Rosenkranz, RR & Dzewaltowski, DA (2008) Model of the home food environment pertaining to childhood obesity. Nutr Rev 66, 123140.
30. Oh, AY, Davis, T, Dwyer, LA et al. (2017) Recruitment, enrollment, and response of parent–adolescent dyads in the FLASHE Study. Am J Prev Med 52, 849855.
31. National Cancer Institute & Applied Research Cancer Control and Population Sciences (2014) Dietary Screener Questionnaire in the NHANES 2009–10: Background. http://appliedresearch.cancer.gov/nhanes/dietscreen/ (accessed April 2014).
32. Montoye, AH, Pfeiffer, KA, Alaimo, K et al. (2013) Junk food consumption and screen time: association with childhood adiposity. Am J Health Behav 37, 395403.
33. Perrine, CG, Galuska, DA, Thompson, FE et al. (2014) Breastfeeding duration is associated with child diet at 6 years. Pediatrics 134, Suppl. 1, S50S55.
34. Smith, TM, Calloway, EE, Pinard, CA et al. (2017) Using secondary 24-hour dietary recall data to estimate daily dietary factor intake from the FLASHE study dietary screener. Am J Prev Med 52, 856862.
35. Thompson, FE, Midthune, D, Kahle, L et al. (2017) Development and evaluation of the National Cancer Institute’s dietary screener questionnaire scoring algorithms. J Nutr 147, 12261233.
36. Nebeling, LC, Hennessy, E, Oh, AY et al. (2017) The FLASHE study: survey development, dyadic perspectives, and participant characteristics. Am J Prev Med 52, 839848.
37. Hagger, MS, Hardcastle, SJ, Chater, A et al. (2014) Autonomous and controlled motivational regulations for multiple health-related behaviors: between- and within-participants analyses. Health Psychol Behav Med 2, 565601.
38. US Department of Agriculture (2010) Mean Daily Food Patterns Cup Equivalents Consumed Per Individual, by Gender and Age, in the United States, 2009–2010. http://www.ars.usda.gov/ARSUserFiles/80400530/pdf/fped/table_1_fped_gen_0910.pdf (accessed August 2017).
39. Yaroch, AL, Tooze, J, Thompson, FE et al. (2012) Evaluation of three short dietary instruments to assess fruit and vegetable intake: the National Cancer Institute’s Food Attitudes and Behaviors (FAB) survey. J Acad Nutr Diet 112, 15701577.
40. US Department of Agriculture (2012) Choose MyPlate. http://www.choosemyplate.gov (accessed July 2012).
41. US Department of Health and Human Services & US Department of Agriculture (2015) 2015–2020 Dietary Guidelines for Americans, 8th ed. Washington, DC: US Government Printing Office; available at http://health.gov/dietaryguidelines/2015/guidelines/
42. Moore, LV & Thompson, FE (2015) Adults meeting fruit and vegetable intake recommendations – United States, 2013. MMWR Morb Mortal Wkly Rep 64, 709713.
43. Bélanger, M, Poirier, M, Jbilou, J et al. (2014) Modelling the impact of compliance with dietary recommendations on cancer and cardiovascular disease mortality in Canada. Public Health 128, 222230.
44. Grimm, KA, Foltz, JL, Blanck, HM et al. (2012) Household income disparities in fruit and vegetable consumption by state and territory: results of the 2009 Behavioral Risk Factor Surveillance System. J Acad Nutr Diet 112, 20142021.
45. Imamura, F, Micha, R, Khatibzadeh, S et al. (2015) Dietary quality among men and women in 187 countries in 1990 and 2010: a systematic assessment. Lancet Glob Health 3, e132e142.
46. Blanck, HM, Gillespie, C, Kimmons, JE et al. (2008) Trends in fruit and vegetable consumption among US men and women, 1994–2005. Prev Chronic Dis 5, A35.
47. Dubowitz, T, Heron, M, Bird, CE et al. (2008) Neighborhood socioeconomic status and fruit and vegetable intake among whites, blacks, and Mexican Americans in the United States. Am J Clin Nutr 87, 18831891.
48. Ball, K, Crawford, D & Mishra, G (2006) Socio-economic inequalities in women’s fruit and vegetable intakes: a multilevel study of individual, social and environmental mediators. Public Health Nutr 9, 623630.
49. Casagrande, SS, Wang, Y, Anderson, C et al. (2007) Have Americans increased their fruit and vegetable intake?: the trends between 1988 and 2002. Am J Prev Med 32, 257263.
50. Dwyer, LA, Bolger, N, Laurenceau, JP et al. (2017) Autonomous motivation and fruit/vegetable intake in parent–adolescent dyads. Am J Prev Med 52, 863871.
51. Levesque, CS, Williams, GC, Elliot, D et al. (2007) Validating the theoretical structure of the Treatment Self-Regulation Questionnaire (TSRQ) across three different health behaviors. Health Educ Res 22, 691702.
52. Resnicow, K, Davis, RE, Zhang, G et al. (2008) Tailoring a fruit and vegetable intervention on novel motivational constructs: results of a randomized study. Ann Behav Med 35, 159169.
53. Chuan Ling, AM & Horwath, C (2001) Perceived benefits and barriers of increased fruit and vegetable consumption: validation of a decisional balance scale. J Nutr Educ 33, 257265.
54. Yeh, MC, Ickes, SB, Lowenstein, LM et al. (2008) Understanding barriers and facilitators of fruit and vegetable consumption among a diverse multi-ethnic population in the USA. Health Promot Int 23, 4251.
55. An, R (2013) Effectiveness of subsidies in promoting healthy food purchases and consumption: a review of field experiments. Public Health Nutr 16, 12151228.
56. Fields, S (2004) The fat of the land: do agricultural subsides foster poor health? Environ Health Perspect 112, A820A823.
57. Franck, C, Grandi, SM & Eisenberg, MJ (2013) Agricultural subsidies and the American obesity epidemic. Am J Prev Med 45, 327333.
58. Ammerman, AS, Lindquist, CH, Lohr, KN et al. (2002) The efficacy of behavioral interventions to modify dietary fat and fruit and vegetable intake: a review of the evidence. Prev Med 35, 2541.
59. AbuSabha, R & Achterberg, C (1997) Review of self-efficacy and locus of control for nutrition-and health-related behavior. J Am Diet Assoc 97, 11221132.
60. Schwarzer, R (2008) Modeling health behavior change: how to predict and modify the adoption and maintenance of health behaviors. Appl Psychol 57, 129.
61. Schwarzer, R (editor) (2014) Self-Efficacy: Thought Control of Action. Abingdon: Routledge.
62. Blissett, J (2011) Relationships between parenting style, feeding style and feeding practices and fruit and vegetable consumption in early childhood. Appetite 57, 826831.
63. Ferrer, RA, Green, PA, Oh, AY et al. (2017) Emotion suppression, emotional eating, and eating behavior among parent–adolescent dyads. Emotion 17, 10521065.
64. Verloigne, M, Van Lippevelde, W, Maes, L et al. (2013) Family-and school-based predictors of energy balance-related behaviours in children: a 6-year longitudinal study. Public Health Nutr 16, 202211.
65. Reed, RG, Butler, EA & Kenny, DA (2013) Dyadic models for the study of health. Soc Personal Psychol Compass 7, 228245.
66. Kenny, DA & Cook, W (1999) Partner effects in relationship research: conceptual issues, analytic difficulties, and illustrations. Pers Relatsh 6, 443448.
67. Noar, SM, Benac, CN & Harris, MS (2007) Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull 133, 673693.
68. Golden, SD & Earp, JAL (2012) Social ecological approaches to individuals and their contexts: twenty years of health education & behavior health promotion interventions. Health Educ Behav 39, 364372.
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Public Health Nutrition
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