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How we eat what we eat: identifying meal routines and practices most strongly associated with healthy and unhealthy dietary factors among young adults

  • Melissa N Laska (a1), Mary O Hearst (a1) (a2), Katherine Lust (a3), Leslie A Lytle (a1) (a4) and Mary Story (a1)...
Abstract
Abstract Objective

(i) To examine associations between young adults’ meal routines and practices (e.g. food preparation, meal skipping, eating on the run) and key dietary indicators (fruit/vegetable, fast-food and sugar-sweetened beverage intakes) and (ii) to develop indices of protective and risky meal practices most strongly associated with diet.

Design

Cross-sectional survey.

Setting

Minneapolis/St. Paul metropolitan area, Minnesota (USA).

Subjects

A diverse sample of community college and public university students (n 1013).

Results

Meal routines and practices most strongly associated with healthy dietary patterns were related to home food preparation (i.e. preparing meals at home, preparing meals with vegetables) and meal regularity (i.e. routine consumption of evening meals and breakfast). In contrast, factors most strongly associated with poor dietary patterns included eating on the run, using media while eating and purchasing foods/beverages on campus. A Protective Factors Index, summing selected protective meal routines and practices, was positively associated with fruit/vegetable consumption and negatively associated with fast-food and sugar-sweetened beverage consumption (P<0·001). A Risky Factors Index yielded significant, positive associations with fast-food and sugar-sweetened beverage consumption (P<0·001). The probability test for the association between the Risky Factors Index and fruit/vegetable intake was P=0·05.

Conclusions

Meal routines and practices were significantly associated with young adults’ dietary patterns, suggesting that ways in which individuals structure mealtimes and contextual characteristics of eating likely influence food choice. Thus, in addition to considering specific food choices, it also may be important to consider the context of mealtimes in developing dietary messaging and guidelines.

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Corresponding author
* Corresponding author: Email mnlaska@umn.edu
References
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1. He FJ, Nowson CA, Lucas M et al. (2007) Increased consumption of fruit and vegetables is related to a reduced risk of coronary heart disease: meta-analysis of cohort studies. J Hum Hypertens 21, 717728.
2. Dauchet L, Amouyel P, Hercberg S et al. (2006) Fruit and vegetable consumption and risk of coronary heart disease: a meta-analysis of cohort studies. J Nutr 136, 25882593.
3. Willett WC (2012) Dietary fats and coronary heart disease. J Intern Med 272, 1324.
4. Pereira MA, O’Reilly E, Augustsson K et al. (2004) Dietary fiber and risk of coronary heart disease: a pooled analysis of cohort studies. Arch Intern Med 164, 370376.
5. He FJ, Nowson CA & MacGregor GA (2006) Fruit and vegetable consumption and stroke: meta-analysis of cohort studies. Lancet 367, 320326.
6. Dauchet L, Amouyel P & Dallongeville J (2005) Fruit and vegetable consumption and risk of stroke: a meta-analysis of cohort studies. Neurology 65, 11931197.
7. Aune D, Chan DS, Lau R et al. (2011) Dietary fibre, whole grains, and risk of colorectal cancer: systematic review and dose–response meta-analysis of prospective studies. BMJ 343, d6617.
8. Aune D, Chan DS, Greenwood DC et al. (2012) Dietary fiber and breast cancer risk: a systematic review and meta-analysis of prospective studies. Ann Oncol 23, 13941402.
9. Dietary Guidelines Advisory Committee (2010) Report of the Dietary Guidelines Advisory Committee on the Dietary Guidelines for Americans, 2010. Washington, DC: USDA and US DHHS.
10. Franz MJ, Bantle JP, Beebe CA et al. (2003) Evidence-based nutrition principles and recommendations for the treatment and prevention of diabetes and related complications. Diabetes Care 26, Suppl. 1, S51S61.
11. Nelson M, Story M, Larson N et al. (2008) Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change. Obesity (Silver Spring) 16, 22052211.
12. Harris KM, Gordon-Larsen P, Chantala K et al. (2006) Longitudinal trends in race/ethnic disparities in leading health indicators from adolescence to young adulthood. Arch Pediatr Adolesc Med 160, 7481.
13. 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.
14. LaComb RP, Sebastian R, Enns C et al. (2011) Beverage Choices of US Adults: What We Eat in America, NHANES 20072008 . Beltsville, MD: USDA Food Surveys Research Group.
15. Niemeier HM, Raynor HA, Lloyd-Richardson EE et al. (2006) Fast food consumption and breakfast skipping: predictors of weight gain from adolescence to adulthood in a nationally representative sample. J Adolesc Health 39, 842849.
16. Larson NI, Nelson MC, Neumark-Sztainer D et al. (2009) Making time for meals: meal structure and associations with dietary intake in young adults. J Am Diet Assoc 109, 7279.
17. Laska MN, Graham D, Moe S et al. (2011) Situational characteristics of young adult eating occasions: a real-time data collection using Personal Digital Assistants. Public Health Nutr 14, 472479.
18. Barr-Anderson DJ, Larson NI, Nelson MC et al. (2009) Does television viewing predict dietary intake five years later in high school students and young adults? Int J Behav Nutr Phys Act 6, 7.
19. Laska MN, Larson NI, Neumark-Sztainer D et al. (2012) Does involvement in food preparation track from adolescence to young adulthood and is it associated with better dietary quality? Findings from a 10-year longitudinal study. Public Health Nutr 15, 11501158.
20. US Department of Education, National Center for Education Statistics (2005) Postsecondary participation rates by sex and race/ethnicity: 1974–2003 (NCES 2005-028). http://nces.ed.gov/pubs2005/2005028.pdf (accessed March 2007).
21. US Department of Education, National Center for Education Statistics (2008) 2003–04 National Postsecondary Student Aid Study (NPSAS:04). http://nces.ed.gov/pubs2006/2006184_rev.pdf (accessed October 2014).
22. Adelman C (2005) Moving into Town – and Moving On: The Community College in the Lives of Traditional-Age Students. Washington, DC: US Department of Education.
23. National Cancer Institute (2009) Short dietary assessment instruments. http://riskfactor.cancer.gov/diet/screeners/ (accessed December 2012).
24. French SA, Story M, Neumark-Sztainer D et al. (2001) Fast food restaurant use among adolescents. Int J Obes Relat Metab Disord 25, 18231833.
25. Bauer KW, Larson NI, Nelson MC et al. (2009) Fast food intake among adolescents: secular and longitudinal trends from 1999 to 2004. Prev Med 48, 284287.
26. Nelson MC & Lytle LA (2009) Development and evaluation of a brief screener to estimate fast-food and beverage consumption among adolescents. J Am Diet Assoc 109, 730734.
27. University of Minnesota (2014) Project EAT: Eating Among Teens. http://www.sphresearch.umn.edu/epi/project-eat/ (accessed November 2014).
28. Lytle LA (2009) Examining the etiology of childhood obesity: the IDEA Study. Am J Community Psychol 44, 338349.
29. Larson NI, Story M, Eisenberg ME et al. (2006) Food preparation and purchasing roles among adolescents: associations with sociodemographic characteristics and diet quality. J Am Diet Assoc 106, 211218.
30. Larson NI, Perry CL, Story M et al. (2006) Food preparation by young adults is associated with better diet quality. J Am Diet Assoc 106, 20012007.
31. Nelson MC, Larson NI, Barr-Anderson D et al. (2009) Disparities in dietary intake, meal patterning, and home food environments among young adult nonstudents and 2- and 4-year college students. Am J Public Health 99, 12161219.
32. VanKim NA & Laska MN (2012) Socioeconomic disparities in emerging adult weight and weight behaviors. Am J Health Behav 36, 433445.
33. Sisson S, Shay C, Broyles S et al. (2012) Television-viewing time and dietary quality among US children and adults. Am J Prev Med 43, 196200.
34. Fuller-Tyszkiewicz M, Skouteris H, Hardy L et al. (2012) The associations between TV viewing, food intake, and BMI. A prospective analysis of data from the Longitudinal Study of Australian Children. Appetite 59, 945948.
35. Lissner L, Lanfer A, Gwozdz W et al. (2012) Television habits in relation to overweight, diet and taste preferences in European children: the IDEFICS study. Eur J Epidemiol 27, 705715.
36. Ma Y, Bertone E, Stanek Er et al. (2003) Association between eating patterns and obesity in a free-living US adult population. Am J Epidemiol 158, 8592.
37. Todd J, Mancino L & Lin B-H (2010) The Impact of Food Away from Home on Adult Diet Quality. Washington, DC: USDA Economic Research Service.
38. US Department of Agriculture & US Departmentr of Health and Human Services (2010) Dietary Guidelines for Americans, 2010. Washington, DC: USDA and US DHHS.
39. The Japan Dietetic Association (2013) Japanese Health and Nutrition information. http://www.dietitian.or.jp/english/news/dietary.html (accessed June 2013).
40. Food and Agriculture Organization of the United Nations (2013) Food-based Dietary Guidelines – Hungary. http://www.fao.org/ag/humannutrition/nutritioneducation/fbdg/49851/en/hun/ (accessed June 2013).
41. Food and Agriculture Organization of the United Nations (2013) Food-based Dietary Guidelines – Indonesia. http://www.fao.org/ag/humannutrition/nutritioneducation/fbdg/49850/en/idn/ (accessed June 2013).
42. Food and Agriculture Organization of the United Nations (2013) Food-based Dietary Guidelines – Netherlands. http://www.fao.org/ag/humannutrition/nutritioneducation/fbdg/49851/en/nld/ (accessed June 2013).
43. Food and Agriculture Organization of the United Nations (2013) Food-based Dietary Guidelines – Ireland. http://www.fao.org/ag/humannutrition/nutritioneducation/fbdg/49851/en/irl/ (accessed June 2013).
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Public Health Nutrition
  • ISSN: 1368-9800
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