Away from home meals: associations with biomarkers of chronic disease and dietary intake in American adults, NHANES 2005-2010.

作者: A K Kant , M I Whitley , B I Graubard

DOI: 10.1038/IJO.2014.183

关键词: Body mass indexGerontologyMealObesityCholesterolCross-sectional studyConfidence intervalMedicineVitaminMicronutrientPhysiology

摘要: Away from home (AFH) meals are known to be energy-dense and of poor diet quality. Both direct indirect exposure (for example, neighborhood restaurant density) AFH have been implicated as contributors higher body weight adverse health outcomes. To examine the association frequency eating fast-food with biomarkers chronic disease dietary intake. This cross-sectional study used meal biomarker data NHANES 2005–2010. Information on weekly was collected via questionnaire during household interview. The metabolic examined included mass index (BMI), serum cholesterol (total, high-density lipoprotein (HDL) low-density (LDL)), triglycerides, glycohemoglobin fasting glucose (n=8314, age⩾20, National Health Nutrition Examination Surveys (NHANES) 2007–2010). Biomarkers concentrations vitamins A, D, E, C, B-6, B-12, folate carotenoids (n=4162; 2005–2006). Multiple linear logistic regression methods adjusted for complex survey methodology covariates. American adults reported a mean 3.9 (95% confidence interval 3.7, 4.0) 1.8 (1.6, 1.9) meals/week. Over 50% ⩾3 >35% ⩾2 BMI more frequent or reporters (Ptrend⩽0.0004). Serum total, LDL HDL-cholesterol were related inversely (P<0.05). Frequencies also (P=0.0001). all micronutrients (except vitamin A lycopene) declined increasing (P<0.05); women ⩾50-year olds at risk. Reporters had lower HDL-cholesterol; however, profiles other did not indicate However, nutrients mostly plant foods sources frequency.

参考文章(37)
Mary J. Scourboutakos, Mary R. L'Abbé, Restaurant Menus American Journal of Preventive Medicine. ,vol. 43, pp. 249- 255 ,(2012) , 10.1016/J.AMEPRE.2012.05.018
Zahra Bahadoran, Parvin Mirmiran, Mahdieh Golzarand, Firoozeh Hosseini-Esfahani, Fereidoun Azizi, None, Fast food consumption in Iranian adults; dietary intake and cardiovascular risk factors: Tehran Lipid and Glucose Study. Archives of Iranian Medicine. ,vol. 15, pp. 346- 351 ,(2012)
Katherine W. Bauer, Mary O. Hearst, Alicia A. Earnest, Simone A. French, J. Michael Oakes, Lisa J. Harnack, Energy Content of U.S. Fast-Food Restaurant Offerings: 14-Year Trends American Journal of Preventive Medicine. ,vol. 43, pp. 490- 497 ,(2012) , 10.1016/J.AMEPRE.2012.06.033
Neil K. Mehta, Virginia W. Chang, Weight Status and Restaurant Availability: A Multilevel Analysis American Journal of Preventive Medicine. ,vol. 34, pp. 127- 133 ,(2008) , 10.1016/J.AMEPRE.2007.09.031
Barry I. Graubard, Edward L. Korn, Analysis of Health Surveys ,(1999)
S. E. Fleischhacker, K. R. Evenson, D. A. Rodriguez, A. S. Ammerman, A systematic review of fast food access studies Obesity Reviews. ,vol. 12, ,(2011) , 10.1111/J.1467-789X.2010.00715.X
Melissa Ahern, Cheryl Brown, Stephen Dukas, A national study of the association between food environments and county-level health outcomes Journal of Rural Health. ,vol. 27, pp. 367- 379 ,(2011) , 10.1111/J.1748-0361.2011.00378.X
Megan A. McCrory, Paul J. Fuss, Nicholas P. Hays, Angela G. Vinken, Andrew S. Greenberg, Susan B. Roberts, Overeating in America: Association between Restaurant Food Consumption and Body Fatness in Healthy Adult Men and Women Ages 19 to 80 Obesity Research. ,vol. 7, pp. 564- 571 ,(1999) , 10.1002/J.1550-8528.1999.TB00715.X
David Hammond, Samantha Goodman, Rhona Hanning, Samantha Daniel, A randomized trial of calorie labeling on menus Preventive Medicine. ,vol. 57, pp. 860- 866 ,(2013) , 10.1016/J.YPMED.2013.09.020
Tsuyoshi Hamano, Naomi Kawakami, Xinjun Li, Kristina Sundquist, Neighbourhood Environment and Stroke: A Follow-Up Study in Sweden PLoS ONE. ,vol. 8, pp. e56680- ,(2013) , 10.1371/JOURNAL.PONE.0056680