ライフサイエンスコーパス: energy intake

1 e in the first 6 mo of life, and total daily energy intake.

2 Isoleucine did not affect energy intake.

3 ction of the SCFA propionate acutely reduces energy intake.

4 cretion, and suppress glucagon secretion and energy intake.

5 phantom fullness, may be useful in lowering energy intake.

6 c control, gastric emptying, body weight, or energy intake.

7 justment for body size, type 2 diabetes, and energy intake.

8 ation was correlated with daily increases in energy intake.

9 gic mixed-macronutrient drink and subsequent energy intake.

10 , rice provides up to 80% of the total daily energy intake.

11 food stimuli, and, ultimately, a surplus in energy intake.

12 suppressive effect on subsequent ad libitum energy intake.

13 aloric restriction (CR) to deal with reduced energy intake.

14 t for disease severity, site, PICU days, and energy intake.

15 to measure long-term changes in free-living energy intake.

16 ulations in energy metabolism, appetite, and energy intake.

17 on is known to be associated with lower 24-h energy intake.

18 STRAT (7.4%) were mainly explained by total energy intake.

19 eas SAAT and STRAT are associated with total energy intake.

20 motor and hormonal functions and suppresses energy intake.

21 definition best predicting variance in total energy intake.

22 y paradigms are commonly used to study human energy intake.

23 CK) show associations with ghrelin and total energy intake.

24 ntage body fat, physical activity, and total energy intake.

25 omarker-calibrated protein intake was 15% of energy intake.

26 o preferences and behaviors that risk excess energy intake.

27 etic subjects, without affecting glucagon or energy intake.

28 ic status, percentage of body fat, and total energy intake.

29 supports the notion that eating rate affects energy intake.

30 otential confounders including total dietary energy intake.

31 sis and extended lifespan, despite increased energy intake.

32 c alterations concurrent with chronic excess energy intake.

33 nutrient drink but did not affect subsequent energy intake.

34 ing lactation in mice as a putative limit on energy intake.

35 , GIP, cholecystokinin, gastric emptying, or energy intake.

36 SER on appetite regulation, metabolism, and energy intake.

37 acilitate net energy expenditure rather than energy intake [2, 21-23].

38 he conditions (~2%; P > 0.94) or in absolute energy intake 24 h (~5%; P > 0.63) and 3 d (~9%; P > 0.5

39 st, when contributing to >20% of total daily energy intake (27% of the population); low-energy breakf

40 Individuals significantly underreported energy intake (350 kcal/d; 15%), and underreporting by o

41 ntributing between 5% and 20% of total daily energy intake (70% of the population); and skipping brea

42 unning and total daily energy expenditure or energy intake across mice.

43 SNAP benefit </=15 d before being surveyed, energy intake adjusted for minimum energy requirements (

44 ium that considered how and why exercise and energy intake affect neuroplasticity and, conversely, ho

45 All models were adjusted for total energy intake, age, body mass index, and race.

46 These associations were independent of total energy intake, age, sex, body mass index, educational le

47 lly adjusted for putative confounders (total energy intake, alcohol consumption, smoking status, and

48 and individual insomnia symptoms had greater energy intake and a lower diet quality as assessed with

49 tries and provided, on average, 61% of total energy intake and a significant contribution of micronut

50 ive relation was observed between calculated energy intake and activity group, except in the lowest q

51 a neuronal substrate for the coordination of energy intake and adaptive expenditure under varying phy

52 utrient patterns, single nutrients, or total energy intake and AT compartments were analyzed by multi

53 role of energy density in the regulation of energy intake and body weight and offer recommendations

54 e second to third trimester with emphasis on energy intake and carbohydrate quality.

55 requirements. kg(-1) . d(-1) calculated from energy intake and change in fat and fat-free calories, w

56 n MHD patients on the basis of their dietary energy intake and changes in body composition.

57 ntermittent SER might be useful to attenuate energy intake and control body weight in this population

58 The MR-induced increase in energy intake and EE and activation of thermogenesis in

59 uld be achieved at no extra cost by reducing energy intake and energy density and increasing the shar

60 howed that diets providing the largest total energy intake and energy exchange enhanced the effect of

61 besity with the use of objectively estimated energy intake and energy expenditure in humans.

62 lation of body weight is more effective when energy intake and expenditure are both high (high energy

63 val include energy, arousal, and motivation: Energy intake and expenditure are fundamental to all org

64 uations during the menstrual cycle influence energy intake and expenditure as well as eating preferen

65 uence of AVGs on compensatory adjustments in energy intake and expenditure is largely unknown.

66 s highly stable despite a very large flux in energy intake and expenditure over time.

67 he brain plays a key role in the controls of energy intake and expenditure, and many genes associated

68 series of physiological responses (increased energy intake and expenditure, decreased adiposity, and

69 to reduce body weight or adiposity, increase energy intake and expenditure, increase hepatic transcri

70 he conditions and 24-h) and short-term (3-d) energy intake and expenditure.

71 of hunger is caused by an imbalance between energy intake and expenditure.

72 s central and peripheral signals to regulate energy intake and expenditure.

73 tissues to metabolic signals, and changes in energy intake and expenditure.

74 was to examine the acute effects of AVGs on energy intake and expenditure.

75 have greater weight and fat mass, increased energy intake and feeding efficiency, but reduced length

76 There was a positive association between energy intake and FFM and also between HPA level and FFM

77 vioral and nutritional intervention improved energy intake and HAZ score outcomes but not WAZ score o

78 idence-based treatments that achieve optimal energy intake and improve growth in preschool-aged child

79 eating behavior is being measured may affect energy intake and is a methodologic factor that has rece

80 mbating these diseases not only by modifying energy intake and lifestyle factors, but also by inducin

81 short-term changes (</=0.5 y postsurgery) in energy intake and macronutrient composition after bariat

82 ses (until 12 August 2015) to assess whether energy intake and macronutrient intake (i.e., protein, f

83 e) with respect to spontaneous changes in 1) energy intake and macronutrients and micronutrients, 2)

84 Information about the effects of protein on energy intake and related gastrointestinal mechanisms an

85 receptor's sensitivity will favorably impact energy intake and reprogram the body weight set point.

86 ormulation), the corresponding reductions in energy intake and steady-state bodyweight would be 31.0

87 les of endocannabinoids in the regulation of energy intake and storage have been well studied and the

88 l for understanding the mechanisms governing energy intake and storage in plants, and this is essenti

89 d nutritional counseling targeting increased energy intake and training in behavioral child managemen

90 s in regulating energy balance by modulating energy intake and utilization.

91 y) during caloric restriction, incorporating energy intake and waste, energy expenditure, and daily a

92 Changes in energy intake and WAZ score were examined from pretreatm

93 essed the effect of the proposed strategy on energy intake and weight status.

94 decade, the United States has seen declining energy intakes and plateauing obesity levels.

95 bolic rate, physical activity thermogenesis, energy intake) and 24-h glycemic responses were measured

96 and glucose-stimulated glycemia, suppressed energy intake, and augmented total and intact GLP-1, tot

97 c equivalents [METs]/wk), calibrated dietary energy intake, and body mass index (BMI) with incident k

98 Similarly, changes in HbA1c, daily energy intake, and body weight after 5 wk did not differ

99 spitalizations for HF adjusting for HF risk, energy intake, and dietary factors.

100 Gross motor function, feeding method, energy intake, and HPA level in GMFCS I individuals are

101 ght gain, reduced fat mass without change in energy intake, and increased basal energy expenditure in

102 fferences in self-reported eating behaviors, energy intake, and other dietary characteristics of indi

103 ce, height, activity, television/video time, energy intake, and other dietary factors.

104 tcomes (parent weight loss, parent and child energy intake, and parent and child physical activity).

105 ucational level, marital status, job status, energy intake, and physical activity).

106 ducation, parity, polycystic ovary syndrome, energy intake, and physical activity.

107 quantified from a buffet meal (180-210 min; energy intake, appetite, and gastric emptying in the men

108 We determined the effects of whey protein on energy intake, appetite, gastric emptying, and gut hormo

109 aily ED was 40%, achieved by reduced dietary energy intake ( approximately 30%) and increased physica

110 Children's energy intakes are influenced by the portions they are s

111 time energy intake was >50% or <50% of total energy intake as assessed with the use of a 24-h recall.

112 h questionnaires at 6, 12, and 24 months and energy intake assessed with 3-day weighed diet records a

113 180 min after consumption of the drinks, and energy intake at a buffet-style lunch was quantified.

114 Objective measures of appetite included energy intake at an ad libitum breakfast buffet, 3-d foo

115 dence on the role of nutrient composition or energy intake at breakfast on the accomplishment of scho

116 tween cognitive and academic performance and energy intake at breakfast, 11 provided the same informa

117 The consumption of higher energy intake at lunch compared with at dinner may resul

118 We compared the effect of high energy intake at lunch with that at dinner on weight los

119 g in the men have been published previously).Energy intake at the buffet meal was approximately 80% h

120 Energy intake at the buffet meal was inversely related t

121 or plasma parameters were found, nor was the energy intake at the end of the experiment different bet

122 tein meals but does not support an effect on energy intake at the next eating occasion.

123 o consume per meal appeared to depend on the energy intake at the previous meal, that is how hungry t

124 biotic supplementation significantly reduced energy intake at the week 16 breakfast buffet in 11- and

125 tudy has evaluated the relation between high energy intakes at lunch compared with at dinner on weigh

126 e participants who were randomly assigned to energy intakes at nationally recommended amounts via int

127 Energy intakes at the lunch meal were higher on the no-b

128 The gross energy intake-based model of Yan et al. (Livestock Produ

129 Emerging evidence suggests that sufficient energy intake before exercise is an important factor in

130 ng the standardized mean difference (SMD) in energy intake between heightened-awareness and control c

131 ifferences in anthropometric measurements or energy intakes between groups at any visits.

132 d 374 kcal in women, but differences in 24-h energy intakes between the breakfast and no-breakfast da

133 There were no significant differences in energy intakes between the groups, and intakes were adeq

134 adjustment for age at diet diary, sex, total energy intake, birth weight/length, and rate of prior gr

135 The objective was to determine ad libitum energy intake, body weight changes, appetite profile, an

136 to high-fat-fed mice significantly decreased energy intake, body weight, and circulating plasma gluco

137 subjective appetite and marginally increased energy intake, but hormonal appetite markers did not res

138 ttreatment, the intervention increased daily energy intake by 485 calories vs 58 calories for the con

139 Leucine at 0.45 kcal/min inhibited eating (energy intake by approximately 13%, P < 0.05), increased

140 Suppression of energy intake by protein was inversely related to the ch

141 Increased energy intake can lead to obesity, which increases the r

142 e parent weight loss (BMI), child and parent energy intake, child and parent physical activity (moder

143 th groups (P < 0.05), with no differences in energy intakes compared with on day 0.

144 Mean energy intake decreased by 22% and 14% in the LFHC and V

145 Energy intake decreased in the third trimester, and most

146 Mean daily energy intakes did not differ significantly between the

147 eaturing regular physical activity and ideal energy intake/diet composition represent first-line func

148 Energy intake, dietary fiber and lipid proportions, anim

149 evaluate the impact of the taxes on overall energy intake, dietary quality, and food purchase patter

150 IP, GLP-1, and PYY, and an increase in total energy intake (drink plus meal: 12% increase with 30 g a

151 eal of high-energy food pictures and reduced energy intake during an ad libitum meal.

152 0.01 and P = 0.05, respectively), and total energy intake during an SFTT was relatively lower in sat

153 complex of nuclei to determine cessation of energy intake during meal ingestion, and the return of a

154 ons (P = 0.001), stemming largely from lower energy intake during meals (P = 0.001).

155 observational studies suggested that higher energy intake during pregnancy is associated with higher

156 In study B, total energy intake during the fructose, HFCS, and glucose pha

157 adjusting for age, body mass index, smoking, energy intake, education, and physical activity.

158 Interventions that prescribed both reduced energy intake (eg, >/= 500 kcal/d) and increased physica

159 otal daily energy expenditure (TDEE), and/or energy intake (EI) for >/=2 categories of puberty were i

160 Some evidence suggests that higher energy intake (EI) later in the day is associated with p

161 Ss), blood samples collected, and ad libitum energy intake (EI) measured at lunch, afternoon snack, a

162 Accurate measurement of free-living energy intake (EI) over long periods is imperative for u

163 of 2 energy-matched snack bars on appetite, energy intake (EI), and metabolic and endocrine response

164 ure (EE) and the corresponding regulation of energy intake (EI), as described in younger trained subj

165 , but not fat mass, are strong predictors of energy intake (EI).

166 ual-energy X-ray absorptiometry), ad libitum energy intake (EI; buffet), and palatability (visual ana

167 ecessary for cisplatin's untoward effects on energy intake, elucidating a key neuroanatomical circuit

168 , albumin, the nutritional risk index, daily energy intake, energy balance (equal to daily energy int

169 To eliminate potential confounding by energy intake, energy-adjusted sodium and potassium resi

170 body mass index, smoking status, education, energy intake, examination year, and physical activity.

171 perturbation in energy homeostasis, whereby energy intake exceeds energy expenditure.

172 With NHANES, we compared survey-weighted energy intakes for 2003-2006 and 2009-2012 from store an

173 Immediately after the infusions, energy intake from a buffet lunch was quantified.

174 Immediately afterward, energy intake from a cold, buffet-style meal was assesse

175 articipation, education level, and estimated energy intake from doubly labeled water) were used for e

176 Each 10% increase in energy intake from fat increased the hazard of relapse b

177 tudy suggests that in children with MS, high energy intake from fat, especially saturated fat, may in

178 % CI: 0.72, 0.98) per 0.1% increase in total energy intake from LC n-3 PUFAs in protective-allele (C-

179 Frequency of and total energy intake from meals, snacks, and all EOs were estim

180 y intake from saturated fats with equivalent energy intake from PUFAs, monounsaturated fatty acids, o

181 Replacing 5% of energy intake from saturated fats with equivalent energy

182 Substituting 5% of energy intake from vegetable protein for animal protein

183 Percentage of energy intake from vegetable protein was associated with

184 old the assertion that UPFDs, which dominate energy intake, give rise to dietary patterns that are lo

185 and had a lower positive energy balance and energy intake, greater lipid fuel preference and non-res

186 ere significantly lower for vegetarians with energy intakes >/= 500 kcal below Estimated Energy Requi

187 udy, we compared protein adequacy as well as energy intakes, gut function, clinical outcomes, and how

188 al palsy (CP) could be due to differences in energy intake, habitual physical activity (HPA), and sed

189 men and women with the largest reductions in energy intake had lost 7.3% and 3.9% more weight, respec

190 y; yet, the relation between eating rate and energy intake has not been systematically reviewed, with

191 d to be associated with milk avoidance, high energy intake, high cheese intake, high intake of sugar-

192 or sociodemographics, lifestyle factors, and energy intake, highest consumers of the Southern pattern

193 s or weight maintenance by helping to reduce energy intake; however, past research examining low-calo

194 Energy intake, HPA, and sedentary time were measured wit

195 ficant differences were observed in absolute energy intake immediately after the conditions (~2%; P >

196 lated the adjusted mean differences of total energy intake in 2006 and the AHEI-component scores and

197 This translated into reduced energy intake in a breakfast buffet in older but not in

198 t heightened awareness of observation has on energy intake in a laboratory setting.

199 heightened awareness of observation reduces energy intake in a laboratory setting.

200 tinal motor and hormone functions and reduce energy intake in a load-dependent manner; protein also s

201 Increased energy intake in both HFD and/or OVX groups, and decreas

202 otic supplementation on appetite control and energy intake in children with overweight and obesity.Th

203 otypes because of a negative effect of MR on energy intake in Fgf21(-/-) mice.

204 intraduodenal infusion of leucine decreases energy intake in healthy, lean men.

205 content of SSBs contributes to the increased energy intake in individuals drinking SSBs.

206 sures, gut hormones, glycemia, appetite, and energy intake in obese subjects and to compare the respo

207 whether clinical outcomes vary by protein or energy intake in patients with risk evaluated by the NUT

208 Presymptomatic total daily energy intake in patients, reported as mean (SD), was si

209 s of protein, carbohydrate, and fat to total energy intake in the context of chronic disease preventi

210 143 305 participants who reported plausible energy intake in the food frequency questionnaire, mean

211 ices) and its contribution to free sugar and energy intake in the UK population.

212 of dietary intake, with greater decreases in energy intakes in nonstore sources for foods and in stor

213 As dietary energy intake increased, the risk of incident stones inc

214 r disease risk in children through increased energy intake, increased adiposity, and dyslipidemia.

215 he current literature provides evidence that energy intake is associated with gestational weight gain

216 Increased energy intake is consistently observed in individuals co

217 estimate the proportion of variance in total energy intake (kJ) and amount of food intake (g) predict

218 partial dietary compensation (i.e., greater energy intake) later in the day.

219 e approaches to the exclusion of implausible energy intakes led to significantly different cross-sect

220 ntraduodenal protein suppresses appetite and energy intake less in healthy older than in young adults

221 Oral failure defined as energy intake <130% of calculated BMR or WW intake <40 g

222 oduced as a by-product of milk production or energy intake may be more important factors.

223 In young subjects, total energy intake (meal + infusion) on the 180-kcal protein-

224 nergy intake, energy balance (equal to daily energy intakes minus the REE), and survival were recorde

225 years would lead to an average reduction in energy intake of 38.4 kcal per day (95% CI 36.3-40.7) by

226 largely sampled young women and examined the energy intake of energy-dense snack foods.

227 The energy intake of undernourished animals transferred to c

228 t) diet or an ADF-LF (25% fat) diet with 25% energy intake on fast days and ad libitum intake on feed

229 While diet and nutrient absorption affect energy intake, on the other side of the equation, energy

230 ng the beverages with no difference in total energy intake or body weight between groups as reported

231 Obesity results from increased energy intake or defects in energy expenditure.

232 is study, soy consumption, without affecting energy intake or physical activity, significantly improv

233 plained by maternal BMI, diet quality, total energy intake, or other obesity risk factors.

234 tose and glucose in SSBs modifies ad libitum energy intake over 8 d in healthy adults without fructos

235 ured covariance matrix.Short-term changes in energy intake (P < 0.001) and in relative proportions of

236 aintaining sleep were associated with higher energy intake (P-trend </= 0.007 for both).

237 late after adjusting for age, sex, and total energy intake (P-trend = 0.01, 0.03, and 0.001, respecti

238 lity in women with higher calibrated dietary energy intakes (P-trend = 0.003), higher calibrated diet

239 In a model adjusted for age, sex, and energy intake, participants in the highest fructose inta

240 of age, height, sex, baseline weight, target energy intake, percent weight loss, and deviation of act

241 The aim was to examine the relation between energy intake, physical activity, appetite, and weight g

242 Higher overall energy intake predicted significantly higher mortality (

243 Total energy intake progressively increased to reach 1240 +/-

244 ng by age, gender, anti-diabetic medication, energy intake, protein intake, physical activity, and vi

245 ll r > 0.57, P < 0.01); and tended to reduce energy intake (r = -10.38, P = 0.057) in a dose-dependen

246 protein intake (r = 0.60, P = 0.004) but not energy intake (r = 0.16; P = 0.70).

247 criterion) best predicted variance in total energy intake (R(2) range = 19.3-27.8).

248 r hazards for mortality, whereas higher late energy intakes reduced mortality hazards.

249 e predictive power of the macronutrients for energy intake remains limited.

250 We then estimated the predicted reduction in energy intake resulting from the proposed strategy at an

251 ed with 4 g fructose . kg(-1) . d(-1) (total energy intake +/- SD: 143 +/- 1% of weight-maintenance r

252 adjusted for age, sex, education, and total energy intake, seafood consumption (>/= 1 meal[s]/week)

253 sensations, plasma metabolic parameters, and energy intake (secondary outcomes).Energy expenditure in

254 e, body mass index (BMI), cooking fuel type, energy intake, sex, physical activity, smoking, socioeco

255 gree of weight increase in response to extra energy intake.SFA overfeeding and PUFA overfeeding induc

256 s enrolled for >/=8 d (n = 66), higher early energy intake significantly increased the HR for mortali

257 mixed-regression analysis, changes in total energy intake, starch, sugar, fiber intake, GI, and glyc

258 grees C suggest that in Swiss mice sustained energy intake (SusEI) and reproductive performance are c

259 ified: a) fast food intake [percent of total energy intake (TEI) from fast food]; b) fast food-derive

260 Energy intake tended to be higher in obese subjects (P =

261 l formulated by using a randomly fluctuating energy intake term accounting for intermittent noncompli

262 reater reduction in SFA (percentage of total energy) intake than at level 0 (mean +/- SD: E4+, -0.72%

263 ct of screening out reports characterized by energy intakes that are implausible when compared with e

264 sugar, glucose, would seem advantageous for energy intake, the present experiment assessed whether e

265 Despite similar energy intake, the SD group had lower hunger and satiety

266 onverted to calorie equivalents and added to energy intake to calculate energy requirements. kg(-1) .

267 wn, including significant decreases in total energy intake, trans fat, added sugars, and total bevera

268 reduce both reward responses and ad libitum energy intake via stimulation of anorexigenic gut hormon

269 ding infants were defined by whether daytime energy intake was >50% or <50% of total energy intake as

270 In study A, ad libitum energy intake was 120% +/- 10%, 117% +/- 12%, and 102% +

271 At baseline, mean (SD) energy intake was 1462 (329) kcals/d, WAZ score was -0.4

272 Total energy intake was 2072 +/- 108 kcal/d at baseline and de

273 Energy intake was 7% greater on day 2 (P < 0.05) during

274 On day 3, ad libitum energy intake was assessed at breakfast and by weighed f

275 Ad libitum energy intake was assessed at lunch and dinner with subj

276 However, low daily energy intake was associated with greater mortality, so

277 Daily energy intake was estimated from 3-d food diaries during

278 In healthy adults, total 8-d ad libitum energy intake was increased in individuals consuming SSB

279 Energy intake was inversely related to isolated pyloric

280 After the experiments, energy intake was measured with the universal eating mon

281 Energy intake was not significantly greater with breakfa

282 Energy intake was not suppressed by protein compared wit

283 ass index, and intervention group, change in energy intake was positively related to change in intake

284 yrosine (PYY)] were measured, and ad libitum energy intake was quantified from a buffet meal (180-210

285 In TPN group, average energy intake was significantly higher (P < 0.001) and p

286 Energy intake was significantly higher in the fructose a

287 Energy intake was significantly lower in the 30En%-prote

288 17, 95% CI: 1.07, 1.28), whereas higher late energy intake was significantly protective (HR: 0.91, 95

289 Energy intake was suppressed by both L and H drinks comp

290 Energy intake was underestimated by 25.3% (men, 21.8%; w

291 a 'barometer' of energy demands relative to energy intake, we explored the causes and consequences o

292 Estimated differences in energy intake were 55 kJ (95% CI, -284 to 395 kJ) at 12

293 ell-characterized DFs on appetite ratings or energy intake were identified from a systematic search o

294 ermogenesis, diet-induced thermogenesis, and energy intake) were measured under free-living condition

295 s of observation was associated with reduced energy intake when compared with the control condition (

296 ry, time to discharge alive, and protein and energy intake, whereas in the 4-day sample, the test for

297 lly Ill category, mortality, and protein and energy intake, whereas in the 4-day sample, the test for

298 denal protein at low doses increased overall energy intake, which supports the use of protein supplem

299 DERs in MHD patients who received a constant energy intake while changes in their body composition we

300 Measurements included the following: energy intake with the use of interviewer-administered d