Abstract
Background:
Away from home (AFH) meals are known to be energy-dense and of poor diet quality. Both direct and indirect exposure (for example, neighborhood restaurant density) to AFH meals have been implicated as contributors to higher body weight and adverse health outcomes.
Objective:
To examine the association of frequency of eating AFH and fast-food meals with biomarkers of chronic disease and dietary intake.
Design:
This cross-sectional study used frequency of AFH and fast-food meal and biomarker data from the NHANES 2005–2010. Information on weekly frequency of AFH and fast-food meals was collected via questionnaire during the household interview. The metabolic biomarkers examined included body mass index (BMI), serum cholesterol (total, high-density lipoprotein (HDL) and low-density lipoprotein (LDL)), triglycerides, glycohemoglobin and fasting glucose (n=8314, age⩾20, National Health and Nutrition Examination Surveys (NHANES) 2007–2010). Biomarkers of dietary exposure included serum concentrations of vitamins A, D, E, C, B-6, B-12, folate and carotenoids (n=4162; 2005–2006). Multiple linear and logistic regression methods adjusted for complex survey methodology and covariates.
Results:
American adults reported a mean of 3.9 (95% confidence interval 3.7, 4.0) AFH and 1.8 (1.6, 1.9) fast-food meals/week. Over 50% of adults reported ⩾3 AFH and >35% reported ⩾2 fast-food meals/week. The mean BMI of more frequent AFH or fast-food meal reporters was higher (Ptrend⩽0.0004). Serum concentrations of total, LDL and HDL-cholesterol were related inversely with frequency of AFH meals (P<0.05). Frequencies of fast-food meals and serum HDL-cholesterol were also related inversely (P=0.0001). Serum concentrations of all examined micronutrients (except vitamin A and lycopene) declined with increasing frequency of AFH meals (P<0.05); women and ⩾50-year olds were at higher risk.
Conclusions:
Reporters of frequent AFH and fast-food meals had higher BMI and lower concentrations of HDL-cholesterol; however, profiles of other biomarkers did not indicate higher metabolic risk. However, the serum concentrations of nutrients with mostly plant foods as sources declined with increasing AFH meal frequency.
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References
Lin B, Guthrie J . Nutritional quality of food prepared at home and away from home, 1977-2008, 2012. US Department of Agriculture, Economic Research Service. Report no. EIB-105.
Scourboutakos MJ, L'Abbé MR . Restaurant menus: calories, caloric density, and serving size. Am J Prev Med 2012; 43: 249–255.
Scourboutakos MJ, Semnani-Azad Z, L'Abbe MR . Restaurant meals: almost a full day's worth of calories, fats, and sodium. JAMA Intern Med 2013; 173: 1373–1374.
Wu HW, Sturm R . What's on the menu? A review of the energy and nutritional content of US chain restaurant menus. Public Health Nutr. 2013;16:87-96. Erratum in: Public Health Nutr 2012; 15: 2163.
Bauer KW, Hearst MO, Earnest AA, French SA, Oakes JM, Harnack LJ . Energy content of U.S. fast-food restaurant offerings: 14-year trends. Am J Prev Med 2012; 43: 490–497.
Hearst MO, Harnack LJ, Bauer KW, Earnest AA, French SA, Michael Oakes J . Nutritional quality at eight U.S. fast-food chains: 14-year trends. Am J Prev Med 2013; 44: 589–594.
Kant AK, Graubard BI . Eating out in American, 1987-2000: trends and nutritional correlates. Prev Med 2004; 38: 243–249.
Clemens LH, Slawson DL, Klesges RC . The effect of eating out on quality of diet in premenopausal women. J Am Diet Assoc 1999; 99: 442–444.
Paeratakul S, Ferdinand DP, Champagne CM, Ryan DH, Bray GA . Fast-food consumption among US adults and children: dietary and nutrient intake profile. J Am Diet Assoc 2003; 103: 1332–1338.
Todd JE, Mancino L, Lin B . The impact of food away from home on adult diet quality. 2010. US Department of Agriculture Economic Research Service. Report no. ERR-90, 24 pp. http://www.ers.usda.gov/publications/err-economic-research-report/err90.aspx#.U6CVzvldWiw.
Bowman SA, Vinyard BT . Fast food consumption of U.S. adults: impact on energy and nutrient intakes and overweight status. J Am Coll Nutr 2004; 23: 163–168.
Jeffery RW, French SA . Epidemic obesity in the United States: are fast foods and television viewing contributing? Am J Public Health 1998; 88: 277–280.
McCrory MA, Fuss PJ, Hays NP, Vinken AG, Greenberg AS, Roberts SB . Overeating in America: association between restaurant food consumption and body fatness in healthy adult men and women ages 19–80. Obes Res 1999; 7: 564–571.
Binkley JK, Eales J, Jekanowski M . The relation between dietary change and rising U.S. obesity. Int J Obes 2000; 24: 1032–1039.
Mehta NK, Chang VW . Weight status and restaurant availability: a multilevel analysis. Am J Prev Med 2008; 34: 127–133.
Li F, Harmer P, Cardinal BJ, Bosworth M, Johnson-Shelton D . Obesity and the built environment: does the density of neighborhood fast-food outlets matter? Am J Health Promot 2009; 23: 203–209.
Moore LV, Diez Roux AV, Nettleton JA, Jacobs DR, Franco M . Fast-food consumption, diet quality, and neighborhood exposure to fast food: the multi-ethnic study of atherosclerosis. Am J Epidemiol 2009; 170: 29–36.
Fleischhacker SE, Evenson KR, Rodriguez DA, Ammerman AS . A systematic review of fast food access studies. Obes Rev 2011; 12: e460–e471.
Alter DA, Eny K . The relationship between the supply of fast-food chains and cardiovascular outcomes. Can J Public Health 2005; 96: 173–177.
Ahern M, Brown C, Dukas S . A national study of the association between food environments and county-level health outcomes. J Rural Health 2011; 27: 367–379.
Hamano T, Kawakami N, Li X, Sundquist K . Neighbourhood environment and stroke: a follow-up study in Sweden. PLoS One 2013; 8: e56680.
Pereira MA, Kartashov AI, Ebbeling CB, Van Horn L, Slattery ML, Jacobs DR Jr et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet 2005; 365: 36–42 Erratum in: Lancet 2005;365:1030.
Duffey KJ, Gordon-Larsen P, Steffen LM, Jacobs Jr DR, Popkin BM . Regular consumption from fast food establishments relative to other restaurants is differentially associated with metabolic outcomes in young adults. J Nutr. 2009; 139: 2113–2118.
Fulkerson JA, Farbakhsh K, Lytle L, Hearst MO, Dengel DR, Pasch KE et al. Away-from-home family dinner sources and associations with weight status, body composition, and related biomarkers of chronic disease among adolescents and their parents. J Am Diet Assoc 2011; 111: 1892–1897
Smith KJ, Blizzard L, McNaughton SA, Gall SL, Dwyer T, Venn AJ . Takeaway foodconsumption and cardio-metabolic risk factors in young adults. Eur J Clin Nutr 2012; 66: 577–584.
Bahadoran Z, Mirmiran P, Golzarand M, Hosseini-Esfahani F, Azizi F . Fast food consumption in Iranian adults; dietary intake and cardiovascular risk factors: Tehran Lipid and Glucose Study. Arch Iran Med 2012; 15: 346–351.
Centers for Disease Control and Prevention: National Center for Health Statistics. National Health and Nutrition Examination Survey. Hyattsville, MD: US Department of Health and Human Services, CDC. Available from: http://www.n.cdc.gov/nchs/nhanes/search/nhanes05_06.aspx. Accessed 26 November 2013.
Centers for Disease Control and Prevention: National Center for Health Statistics. National Health and Nutrition Examination Survey. Hyattsville, MD: US Department of Health and Human Services, CDC. Available from: http://www.n.cdc.gov/nchs/nhanes/search/nhanes07_08.aspx. Accessed 26 November 2013.
Centers for Disease Control and Prevention: National Center for Health Statistics. National Health and Nutrition Examination Survey. Hyattsville, MD: US Department of Healthy and Human Services, CDC. Available from: http://www.n.cdc.gov/nchs/nhanes/search/nhanes09_10.aspx. Accessed 26 November 2013.
Centers for Disease Control and Prevention: National Center for Health Statistics. NHANES response rates and CPS total. Hyattsville, MD: US Department of Health and Human Services, CDC. Available from: http://www.cdc.gov/nchs/nhanes/response_rates_cps.htm. Accessed 26 December 2013.
Expert Panel on the Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 2001; 285: 2486–2497.
Centers for Disease Control and Prevention: National Center for Environmental Health Survey. 2nd National report on biochemical indicators of Diet and Nutrition in the US population. Hyattsville, MD: US Department of Health and Human Services, CDC, 2012. Available from:http://www.cdc.gov/nutritionreport/pdf/Nutrition_Book_complete508_final.pdf#zoom=100 (cited November 2013).
Sudaan. Release 11.0. RTI International, Research Triangle Park, NC, USA.
Johnson CL, Paulose-Ram R, Ogden CL et al. National Health and Nutrition Examination Survey: Analytic guidelines, 1999–2010. National Center for Health Statistics. Vital Health Stat 2013; 2: 1–24. Available from:http://www.cdc.gov/nchs/data/series/sr_02/sr02_161.pdf.
Korn EL, Graubard BI . Analysis of health surveys. New York, NY, USA: John Wiley and Sons, 1999.
Graubard BI, Korn EL . Predictive margins for survey data. Biometrics 1999; 55: 652–659.
Food and Nutrition Board, Institute of Medicine Dietary Reference Intakes for Vitamin C, E, Selenium, and carotenoids. National Academy Press: Washington, DC, 2000.
Food and Nutrition Board, Institute of Medicine Dietary Reference Intakes for Thiamin, Riboflavin, Niacin, Vitamin B6, Folate, Vitamin B12, Pantothenic Acid, Biotin, and Choline. National Academy Press: Washington, DC, 2000.
Poti JM, Duffey KJ, Popkin BM . The association of fast food consumption with poor dietary outcomes and obesity among children: is it the fast food or the remainder of the diet? Am J Clin Nutr 2014; 99: 162–171.
Voight BF, Peloso GM, Orho-Melander M, Frikke-Schmidt R, Barbalic M, Jensen MK et al. Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study. Lancet 2012; 380: 572–580 Erratum in: Lancet 2012; 380: 564.
USDA. Center for Nutrition Policy and Promotion. Diet quality of Americans in 2001-2002 and 2007-2008 as measured by the Healthy Eating Index-2010. Nutrition Insight 51. 2013. Available from: http://www.cnpp.usda.gov/Publications/NutritionInsights/Insight51.pdf. Accessed 15 May 2014.
Cohen DA, Story M . Mitigating the health risks of dining out: the need for standardized portion sizes in restaurants. Am J Public Health 2014; 104: 586–590.
http://www.huffingtonpost.com/Menuism/do-americans-want-healthy_b_4856158.html. Accessed 29 May 14.
Hammond D, Goodman S, Hanning R, Daniel S . A randomized trial of calorie labeling on menus. Prev Med 2013; 57: 860–866.
Kiszko KM, Martinez OD, Abrams C, Elbel B . The influence of calorie labeling on food orders and consumption: a review of the literature. J Community Health 2014. ; e-pub ahead of print 24 April 2014.
Acknowledgements
We thank Lisa L Kahle for expert SAS and SUDAAN programming support and David Check, NCI, NIH, for graphic support. This study was supported in part by the intramural research program of the Department of Health and Human Services, National Cancer Institute, NIH (BIG).
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Kant, A., Whitley, M. & Graubard, B. Away from home meals: associations with biomarkers of chronic disease and dietary intake in American adults, NHANES 2005–2010. Int J Obes 39, 820–827 (2015). https://doi.org/10.1038/ijo.2014.183
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DOI: https://doi.org/10.1038/ijo.2014.183
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