ライフサイエンスコーパス: fast food

1 od) by eating location (home, restaurant, or fast food).

2 d any intake of sugar-sweetened beverages or fast food).

3 (eg, vending machines) or other sources (eg, fast food).

4 e of corn as an ingredient in national chain fast food.

5 re increasingly being added to processed and fast foods.

6 Half of US children consumed fast food: 39.5% low-consumers (</=30% of energy from fa

7 Fast-food ads that aired nationally in 2010-2011 (n = 53

8 rs) was shown depictions of healthy foods in fast-food advertisements that aired from July 1, 2010, t

9 Fast-food advertising receptivity was not associated wit

10 f the extent of the increased effects of the fast food and bottled soft drink industries on this nutr

11 On average, the fast food and fruit drinks cluster and fruit, vegetable,

12 Subjects in the fast food and fruit drinks pattern had the lowest fiber

13 observed 3 dietary patterns: juice and soda; fast food and fruit drinks; and fruit, vegetable, and lo

14 etary protein food clusters were identified: fast food and full-fat dairy, fish, red meat, chicken, l

15 nt breakfast and family meals, less frequent fast food and meals during television viewing, and short

16 jor dietary patterns were "Western" (high in fast food and meat) and "health-conscious" (high in frui

17 However, if fast food and obesity are causally related, the question

18 er findings implicate regular consumption of fast food and sweetened drinks as risk factors, as well

19 Interventions that reduce exposure to fast food and/or promote individual behavior change may

20 have increased, so has their consumption of fast foods and soft drinks.

21 Fast-food and full-service restaurant consumption is ass

22 Fast-food and full-service restaurant consumption, respe

23 in Homescan and NHANES, "ready-to-eat meals/fast-food" and "prudent/snacks/LCS desserts" patterns in

24 : 39.5% low-consumers (</=30% of energy from fast food) and 10.5% high-consumers (>30% of energy).

25 rived fat intake (percent of TEI from fat in fast food); and c) fast food intake by food group (dairy

26 kes of regular cheese, red meat, fried food, fast food, and fat (P < 0.05) than were Caucasians (n =

27 tus, intake of sugar-sweetened beverages and fast food, and having a television in the bedroom).

28 rocessed foods, especially restaurant meals, fast foods, and convenience foods.

29 , French fries, burgers, pizzas, and Mexican fast foods] and energy intake (kcal) at eating occasions

30 rated fat, sugar and salt from processed and fast foods are a major cause of chronic disease worldwid

31 who consume large amounts of soft drinks and fast foods are not compensated for by increased physical

32 Similarly, higher consumption of fast food at year 7 was associated with a 0.16-unit high

33 upons as incentives; event sponsorships; and fast food available to students.

34 e [percent of total energy intake (TEI) from fast food]; b) fast food-derived fat intake (percent of

35 Another six lean subjects underwent fast-food-based hyperalimentation for 4 weeks (weight ga

36 0.01, 0.39) and of both restaurant food and fast food (beta: 0.29; 95% CI: 0.06, 0.51) were positive

37 Cross-sectionally, fast food, but not restaurant food, consumption was posi

38 e observed weaker associations for access to fast food, but these are likely to be underestimated owi

39 less likely to compensate for the energy in fast food, by adjusting energy intake throughout the day

40 etary pattern had high positive loadings for fast foods, carbonated drinks, and refined grains, and h

41 r from a catering premises other than from a fast-food chain A (a national chain) and consumption of

42 thorough cooking of burgers by one national fast-food chain differed from the other catering premise

43 ase in the trans fat content of purchases at fast-food chains, without a commensurate increase in sat

44 he nutrient values of meals offered by major fast food companies with restaurants in Houston, TX, wit

45 ce 2009, quick-service restaurant chains, or fast-food companies, have agreed to depict healthy foods

46 Outside the fast food restaurant, fast food consumers ate Western diets, which might have

47 Recent fast food consumption and bisphenol A and phthalates exp

48 sion models examined the association between fast food consumption and dietary pattern for the remain

49 h overweight/obesity or dietary outcomes for fast food consumption compared with dietary pattern for

50 Although fast food consumption has been linked to adverse health

51 Fast food consumption has increased greatly among childr

52 eight/obesity and poor dietary outcomes than fast food consumption itself.

53 Our findings suggest that fast food consumption may be a source of butylbenzyl pht

54 sity (beta: 5.9; 95% CI: 1.3, 10.5), whereas fast food consumption was not, and the remainder of diet

55 pare the associations of restaurant food and fast food consumption with current and 3-y changes in BM

56 associations with poor total intake than did fast food consumption.

57 (n = 5,633; aged 45-84 years) reported usual fast-food consumption (never, <1 time/week, or > or =1 t

58 ood outlet exposure amplified differences in fast-food consumption across levels of education.

59 Fast-food consumption and BMI were significantly differe

60 models were used to examine associations of fast-food consumption and diet; fast-food exposure and c

61 Results show that fast-food consumption and neighborhood fast-food exposur

62 was to test whether observed differences in fast-food consumption and obesity by fast-food outlet ex

63 Fast-food consumption has increased greatly in the USA d

64 Fast-food consumption has strong positive associations w

65 Fast-food consumption increased intake of total fat (7.0

66 Greater fast-food consumption, BMI, and odds of obesity were ass

67 The authors examined associations among fast-food consumption, diet, and neighborhood fast-food

68 were used to characterize physical activity, fast-food consumption, smoking, alcohol consumption, mar

69 Western-style fast food contributes to a dietary pattern portending po

70 more total energy on fast food days than non-fast food days (2703 [226] vs 2295 [162] kcal/d; +409 [1

71 consumed significantly more total energy on fast food days than non-fast food days (2703 [226] vs 22

72 otal energy intake (TEI) from fast food]; b) fast food-derived fat intake (percent of TEI from fat in

73 Fast food-derived fat intake was also positively associa

74 We used a fast food diet (FFD) and a CCl4 micro dose (0.5 ml/kg B.

75 systemic metabolic dysfunction induced by a fast-food diet (FFD).

76 se tissue of subjects gaining weight after a fast-food diet.

77 d trans-fats, two components of the Western 'fast-food' diet, have unique metabolic effects that sugg

78 ises of why some children who frequently eat fast food do not become overweight.

79 ans spend >100 billion dollars on restaurant fast food each year; fast food meals comprise a dispropo

80 take of relatively inexpensive processed and fast foods enriched with highly absorbable phosphorus ad

81 with greatest increases for food consumed at fast food establishments and in the home.

82 ource, with the largest portions consumed at fast food establishments and the smallest at other resta

83 ociations of fast-food consumption and diet; fast-food exposure and consumption near home; and fast-f

84 food exposure and consumption near home; and fast-food exposure and diet adjusted for site, age, sex,

85 that fast-food consumption and neighborhood fast-food exposure are associated with poorer diet.

86 ast-food consumption, diet, and neighborhood fast-food exposure by using 2000-2002 Multi-Ethnic Study

87 Neighborhood fast-food exposure was measured by densities of fast-foo

88 For every standard deviation increase in fast-food exposure, the odds of consuming fast food near

89 iver fibrosis by high cholesterol-containing fast-food (FF).

90 Change in fast-food frequency over 15 years was directly associate

91 r adjustment for lifestyle factors, baseline fast-food frequency was directly associated with changes

92 Fast-food frequency was lowest for white women (about 1.

93 of frequency of fast-food restaurant visits (fast-food frequency) at baseline and follow-up with 15-y

94 consumed with the television off, less soda, fast food, fruit, and vegetables were consumed with the

95 of having a healthy diet versus those eating fast food > or =1 times/week, depending on the dietary m

96 investigate the association between reported fast-food habits and changes in bodyweight and insulin r

97 Those never eating fast food had a 2-3-times higher odds of having a health

98 ts with high consumption (>/= 34.9% TEI from fast food) had 23.8% (95% CI: 11.9%, 36.9%) and 39.0% (9

99 gain and insulin resistance, suggesting that fast food increases the risk of obesity and type 2 diabe

100 24-hr dietary recall data, we quantified: a) fast food intake [percent of total energy intake (TEI) f

101 positive, dose-response relationship between fast food intake and exposure to phthalates (p-trend < 0

102 ercent of TEI from fat in fast food); and c) fast food intake by food group (dairy, eggs, grains, mea

103 Western-style fast food intake is associated with increased risk of de

104 ependent associations of restaurant food and fast food intake with body mass index (BMI) and BMI chan

105 We examined the association of Western-style fast food intake with risk of incident type 2 diabetes m

106 for an increase in both restaurant food and fast food intake.

107 differential effects of restaurant food and fast food intakes on BMI, although the observed differen

108 relatively frequent intake of Western-style fast food items (>/=2 times per week) had an increased r

109 ealth outcomes, the relative contribution of fast food itself compared with the rest of the diet to t

110 he remainder of intake was more likely among fast food low-consumers (OR: 1.51; 95% CI: 1.24, 1.85) a

111 agriculture within virtually every aspect of fast food manufacture.

112 Fast food may be a source of exposure to DEHP and DiNP.

113 n study 1, mean (SEM) energy intake from the fast food meal among all participants was extremely larg

114 d eaten (study 1) or in 15 sizes of the same fast-food meal (study 2).

115 sked to estimate the number of calories in a fast-food meal they had ordered and eaten (study 1) or i

116 adults estimated the number of calories of a fast-food meal they had ordered and eaten (study 1) or o

117 n dollars on restaurant fast food each year; fast food meals comprise a disproportionate amount of bo

118 We assessed the nutrient quality of fast food meals marketed to young children, ie, "kids me

119 hey had ordered and eaten (study 1) or of 15 fast-food meals that were chosen by the experimenter (st

120 Limitations: These studies examined fast-food meals.

121 ds; n = 1778) and Western (higher intakes of fast food, meat and poultry, pizza, and snacks; n = 2383

122 ults demonstrate that CYP2E1 is important in fast food-mediated liver fibrosis by promoting nitroxida

123 They had a higher BMI (P < .0005), ate fast food more often (P = .049), and exercised less (P =

124 in fast-food exposure, the odds of consuming fast food near home increased 11%-61% and the odds of a

125 However, the effect of fast food on risk of obesity and type 2 diabetes has rec

126 y-from-home eating, increased consumption of fast food only (beta: 0.20; 95% CI: 0.01, 0.39) and of b

127 its; posters/advertisements for soft drinks, fast food, or candy; use of food coupons as incentives;

128 ent across education groups at all levels of fast-food outlet exposure (P < 0.05).

129 High fast-food outlet exposure amplified differences in fast-

130 odds of obesity were associated with greater fast-food outlet exposure and a lower educational level.

131 The relation between fast-food outlet exposure and obesity was only significa

132 nces in fast-food consumption and obesity by fast-food outlet exposure are moderated by educational a

133 e additive interaction between education and fast-food outlet exposure.

134 diets and health through neighborhood-level fast-food outlet regulation might be effective across so

135 Living further from a fast-food outlet was weakly associated with waist circum

136 d with people living fewer than 500 m from a fast-food outlet, those living at least 2000 m away had

137 that children consumed from restaurants and fast food outlets increased by nearly 300% between 1977

138 fluences of the availability of neighborhood fast-food outlets and individual unhealthy eating behavi

139 Greater exposures to fast-food outlets and lower levels of education are inde

140 e examined whether neighbourhood exposure to fast-food outlets and physical activity facilities were

141 ed that neighborhoods with a high density of fast-food outlets were associated with increases of 1.40

142 hysical activity facilities and proximity to fast-food outlets were associated with waist circumferen

143 ants, bakeries, takeaway, deli counters, and fast-food outlets) and targets the audience of individua

144 t-food exposure was measured by densities of fast-food outlets, participant report, and informant rep

145 LCS dessert pattern and a ready-to-eat meals/fast-food purchasing pattern.

146 In this study, adolescents overconsumed fast food regardless of body weight, although this pheno

147 is identified 2 dietary patterns for the non-fast food remainder of intake: Western (50.3%) and Prude

148 Fast food represented a higher proportion of food ads on

149 in a neighborhood increased by 1% for every fast food restaurant (relative risk, 1.01; 95% confidenc

150 whether the associations between franchised fast food restaurant or convenience store density near s

151 Outside the fast food restaurant, fast food consumers ate Western di

152 esided in Virginia and worked as a cook in a fast food restaurant, was diagnosed with giardiasis.

153 ogs (MOR, 2.2; 95% CI, 1.1-4.4); eating at a fast-food restaurant (MOR, 2.3; 95% CI, 1.1-4.6); drinki

154 ghborhood built environment characteristics (fast-food restaurant density, walkability) and individua

155 ants with infrequent (less than once a week) fast-food restaurant use at baseline and follow-up (n=20

156 investigate the association of frequency of fast-food restaurant visits (fast-food frequency) at bas

157 ach 1-km increase in distance to the closest fast-food restaurant was associated with a 0.11-unit dec

158 there was a significant association between fast food restaurants and stroke risk in neighborhoods i

159 study the association between the number of fast food restaurants in the neighborhood, using a 1-mil

160 Exposure of children to kids meals at fast food restaurants is high; however, the nutrient qua

161 ased from 68 (67%) of the 101 national chain fast food restaurants on Oahu (i.e., McDonald's, Burger

162 The median number of fast food restaurants per census tract including buffer

163 children in schools with 1 or more versus 0 fast food restaurants was 1.02 (95% confidence interval

164 o the 25th percentile of the distribution of fast food restaurants was 1.13 (95% CI, 1.02-1.25).

165 Using a standard definition, fast food restaurants were identified from a commercial

166 ood demographics and SES, the association of fast food restaurants with stroke was significant (p = 0

167 ce establishments, 64.7% were purchased from fast food restaurants, 28.2% from other restaurants, and

168 from January 2000 through June 2003 and 262 fast food restaurants.

169 itives when purchasing groceries or visiting fast food restaurants.

170 find a consistent relation between access to fast-food restaurants and individual BMI, necessitating

171 frequent (more than twice a week) visits to fast-food restaurants at baseline and follow-up (n=87) g

172 ference (P<0.05) among residents who visited fast-food restaurants frequently.

173 Study 1 was a field study conducted in fast-food restaurants in 3 medium-sized midwestern U.S.

174 Fast-food restaurants that were included may not be repr

175 ation eating away from home (particularly at fast-food restaurants), larger portion sizes of foods an

176 restaurant type of FSE as compared to chain fast-food services, and institutional caterers.

177 reased intakes of sugar-sweetened beverages, fast food, sweets, and salty snacks (range: 0.02-0.06 se

178 lk, juice, sugar-sweetened beverages (SSBs), fast food, sweets, and salty snacks in the past week.

179 ruit, vegetables, milk) and unhealthy (SSBs, fast food, sweets, salty snacks) diet scores.

180 d on screens [ie, sugar-sweetened beverages, fast food, sweets, salty snacks, and the sum of these fo

181 Fast food tends to promote a positive energy balance and

182 ed their weekly consumption of restaurant or fast food, though mean (+/-SD) changes were -0.16 +/- 2.

183 under free-living conditions for 2 days when fast food was consumed and 2 days when it was not consum

184 ncreased soda intake was twice as large when fast food was consumed away from home than at home.

185 s, nonsignificant larger portions of Mexican fast foods were related to higher energy intakes at meal