Literature DB >> 19776183

Regular consumption from fast food establishments relative to other restaurants is differentially associated with metabolic outcomes in young adults.

Kiyah J Duffey1, Penny Gordon-Larsen, Lyn M Steffen, David R Jacobs, Barry M Popkin.   

Abstract

Although away-from-home eating is adversely associated with weight, other comorbidities have not been examined; therefore, we sought to determine the associations of fast food (e.g. Wendy's, McDonalds) and restaurant (sit-down style) consumption (times per week) with weight and multiple metabolic outcomes, including homeostatic model assessment insulin resistance (HOMA-IR), waist circumference, and plasma triglycerides (TG), LDL cholesterol, and HDL cholesterol (HDL-C). We used 3 waves of data (exam y 7, 10, and 20) from the Coronary Artery Risk Development in Young Adults Study, a prospective cohort study of black and white young adults [aged 25-42 y in 1992-93, n = 3643 (men, 1659; women, 1984)]. Individuals in the highest (vs. lowest) quartile of baseline (defined as the mean of y 7 and 10) fast food consumption had higher y 20 weight [adjusted mean (95% CI): 5.6 kg (CI, 2.1, 9.2); P = 0.002], HOMA-IR [0.9 (CI, 0.4, 1.3); P < 0.001], waist circumference [5.3 cm (CI, 2.8, 7.9); P < 0.000], TG concentrations [0.25 mmol/L (CI, 0.10, 0.40), 22.7 mg/dL (CI, 9.1, 36.3); P = 0.001], and lower HDL-C concentrations [-0.014 mmol/L (CI, -0.215, -0.067), 5.4 mg/dL (CI, -8.3, -2.6); P < 0.000]. Baseline restaurant consumption was unrelated to y 20 outcomes. Adjusted change in weekly restaurant (P < 0.05) and fast food intake (P < 0.001) was associated with 13-y changes in body weight [0.09 kg (CI, 0.02, 0.17) and 0.15 kg (CI, 0.06, 0.24), respectively] and waist circumference [0.08 cm (CI, 0.02, 0.14) and 0.12 cm (CI, 0.04, 0.20), respectively]. Fast food consumption may be an important target for the prevention of adverse metabolic health outcomes.

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Year:  2009        PMID: 19776183      PMCID: PMC2762152          DOI: 10.3945/jn.109.109520

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  26 in total

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Authors:  Sahasporn Paeratakul; Daphne P Ferdinand; Catherine M Champagne; Donna H Ryan; George A Bray
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9.  Overeating in America: association between restaurant food consumption and body fatness in healthy adult men and women ages 19 to 80.

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10.  Effects of fast-food consumption on energy intake and diet quality among children in a national household survey.

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  56 in total

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2.  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?

Authors:  Jennifer M Poti; Kiyah J Duffey; Barry M Popkin
Journal:  Am J Clin Nutr       Date:  2013-10-23       Impact factor: 7.045

3.  Factors associated with supermarket and convenience store closure: a discrete time spatial survival modelling approach.

Authors:  Joshua L Warren; Penny Gordon-Larsen
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2017-10-22       Impact factor: 2.483

4.  Foodscapes of southern Ontario: neighbourhood deprivation and access to healthy and unhealthy food retail.

Authors:  Jane Y Polsky; Rahim Moineddin; Richard H Glazier; James R Dunn; Gillian L Booth
Journal:  Can J Public Health       Date:  2014-07-31

5.  Away-from-home family dinner sources and associations with weight status, body composition, and related biomarkers of chronic disease among adolescents and their parents.

Authors:  Jayne A Fulkerson; Kian Farbakhsh; Leslie Lytle; Mary O Hearst; Donald R Dengel; Keryn E Pasch; Martha Y Kubik
Journal:  J Am Diet Assoc       Date:  2011-12

Review 6.  Global obesity: trends, risk factors and policy implications.

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8.  Socio-demographic, behavioral, and health correlates of nutrition transition dietary indicators in San Juan, Puerto Rico.

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9.  Fast Food Intake in Relation to Employment Status, Stress, Depression, and Dietary Behaviors in Low-Income Overweight and Obese Pregnant Women.

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10.  Fast-food menu offerings vary in dietary quality, but are consistently poor.

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Journal:  Public Health Nutr       Date:  2013-01-15       Impact factor: 4.022

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