ライフサイエンスコーパス: energy intake

1 uency), and we obtained the daily profile of energy intake.

2 acronutrient intake as a percentage of total energy intake.

3 or is sufficient to counter perturbations in energy intake.

4 s modulate food reward, resulting in reduced energy intake.

5 suppressive effect on subsequent ad libitum energy intake.

6 o preferences and behaviors that risk excess energy intake.

7 fter adjusting for maternal age, height, and energy intake.

8 genesis must be counterbalanced by increased energy intake.

9 sis and extended lifespan, despite increased energy intake.

10 c alterations concurrent with chronic excess energy intake.

11 nutrient drink but did not affect subsequent energy intake.

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

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

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

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

16 as sweet snacks, as a way of reducing excess energy intake.

17 Isoleucine did not affect energy intake.

18 ction of the SCFA propionate acutely reduces energy intake.

19 tory and reproductive costs through seasonal energy intake.

20 cretion, and suppress glucagon secretion and energy intake.

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

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

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

24 9 wk; 95% CI: 1.0, 4.9; P = 0.004) per 1% of energy intake.

25 tary sugars and did not increase total daily energy intake.

26 uit to regulate central circadian clocks and energy intake.

27 of energy intake, and both potently suppress energy intake.

28 ures may be utilized to objectively quantify energy intake.

29 hallow, dense krill swarms to maximise their energy intake.

30 hanisms that increase prey capture rates and energy intake.

31 stead increase their niche sizes to maintain energy intakes.

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

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

34 t + PA group showed significantly lower mean energy intake (-340.3 kcal/d; 95% CI: -567.3, -113.4 kca

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

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

37 Energy intake, activity, and resting metabolic rate (RMR

38 BMI (-1.88; 95% CI: -3.27, -0.48) and higher energy intake after 20:00 (4.14% of kcal; 95% CI: 1.67,

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

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

41 re not associated with quantified ad libitum energy intake (all P > 0.088), nor with habitual energy

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

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

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

45 fruit and vegetable intake relative to total energy intake and adverse pregnancy outcomes using targe

46 take after a personalized cold exposure with energy intake and appetite-related sensations in young h

47 ircadian phase was delayed, and after-dinner energy intake and body weight increased versus baseline.

48 s, insufficient sleep increased after-dinner energy intake and body weight versus baseline.

49 duce synergistic-like reductions in 24 hours energy intake and body weight.

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

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

52 Compensation resulted from increased energy intake and concomitant increases in appetite, whi

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

54 xamine within-person differences in reported energy intake and eating patterns on a snack day relativ

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

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

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

58 Metformin had effects on both energy intake and energy expenditure that were dependent

59 weight requires an exquisite balance between energy intake and energy expenditure.

60 we investigated the relative contribution of energy intake and expenditure and specific diet and acti

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

62 abnormality, results from imbalance between energy intake and expenditure favouring nutrient-storage

63 Energy intake and expenditure were independently associa

64 LMICs need to be multicomponent, target both energy intake and expenditure, and focus particularly on

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

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

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

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

69 erance and escalation of intake through 24-h energy intake and fixed-ratio operant self-administratio

70 lly in a stepwise manner, results in reduced energy intake and greater body weight loss over time whe

71 Adequate energy intake and homeostasis are fundamental for the ap

72 - and evidence-based and focused on reducing energy intake and increasing energy expenditure.

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

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

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

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

77 Impulsivity was positively associated with energy intake and negatively associated with diet qualit

78 We found that increased energy intake and reduced energy expenditure contributed

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

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

81 nd breastfeeding, as well as offspring total energy intake and sex, did not influence the effect esti

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

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

84 Optimizing the timing and type of energy intake and the amount of dietary macronutrients i

85 Animal experiments have demonstrated that energy intake and the balance of macronutrients determin

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

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

88 nutrient intake can have profound effects on energy intake and whole-body metabolism.

89 Circadian patterns of energy intake and wrist temperature were analyzed, and t

90 eater adiposity, 12% (360 calories/day) more energy intake, and 18% (11 kilojoules/kg/day) less energ

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

92 s, which are important for the regulation of energy intake, and both potently suppress energy intake.

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

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

95 for a 500 kcal per day deficit from baseline energy intake, and increased physical activity.

96 her acyl-ghrelin (AG) concentrations, higher energy intake, and obesity, although exercise may mitiga

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

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

99 trial arms, the absence of a measurement of energy intake, and the recruitment from one region of th

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

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

102 and exercise on BChE activity, AG, DAG, and energy intake are unknown.

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

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

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

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

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

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

109 Energy intake at the buffet meal was inversely related t

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

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

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

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

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

115 difference in change in SFA intake (% total energy intake) at 3 months adjusted for baseline SFA and

116 outcome was energy intake calculated by the energy intake-balance method.

117 re prediction equations are used to estimate energy intake based on general population measures.

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

119 sociated with a sustained period of elevated energy intake before birth and during lactation (up to 1

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

121 612, R2 = 0.213; P < 0.001) and the habitual energy intake (beta: 16.052, R2 = 0.123; P = 0.001).

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

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

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

125 Independent of energy intake, BMI, physical activity, and other confoun

126 respective diets for 8 months, during which energy intake, body weight, the onset of diabetes circul

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

128 ce shows that TRE may spontaneously decrease energy intake by 20-30% under ad libitum conditions, pro

129 Energy intake by adjusted DLW increased significantly (P

130 se findings indicate that nesfatin-1 reduces energy intake by negatively modulating dopaminergic neur

131 foraging seasons are associated with reduced energy intake by physically limiting the number of days

132 The primary outcome was energy intake calculated by the energy intake-balance me

133 Excess energy intake causes obesity, which leads to insulin res

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

135 ults from a physiological imbalance in which energy intake chronically exceeds energy expenditure (EE

136 on after a fixed meal, and higher ad libitum energy intake compared with TTs [effect sizes (ESs) >= 0

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

138 duration was lower in women versus men, and energy intake decreased to baseline levels in women but

139 ~1.1 h more than baseline, and after-dinner energy intake decreased versus insufficient sleep.

140 Energy intake decreased with sucralose consumption (P =

141 Mean digestible energy intake (DEI) was equal to 1.5 the estimated metab

142 cation, smoking, alcohol, physical activity, energy intake, diabetes, hyperlipidemia, and BMI.

143 Mean daily energy intakes did not differ significantly between the

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

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

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

147 ion and a chewing sensor to predict mass and energy intake during a meal without participant self-rep

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

149 0.01 and P = 0.05, respectively), and total energy intake during an SFTT was relatively lower in sat

150 derators were portion size, eating rate, and energy intake during lunch and in an eating in the absen

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

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

153 Altering the temporal distribution of energy intake (EI) and introducing periods of intermitte

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

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

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

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

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

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

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

161 Treatments include drugs targeting energy intake, energy disposal, lipotoxic liver injury,

162 ctive states, simultaneously impacting their energy intake, energy expenditure and predation risk, an

163 The researchers measured energy intake, energy expenditure, and body composition

164 Anthropometric indexes, energy intake, energy expenditure, appetite, and glucose

165 gy intake (all P > 0.088), nor with habitual energy intake estimated from the 24-h dietary recalls (a

166 r protein, potassium, total sugar, and total energy intakes estimated as the mean of 2 applications o

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

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

169 Body weight was measured every 2 wk with energy intake, expenditure, and appetite assessed every

170 pical behavioral symptoms reflecting altered energy intake/expenditure balance (hyperphagia, weight g

171 by wGRS1 and age, whereas wGRS2 and baseline energy intake explained ~29% (optimism-corrected adjuste

172 yze the associations between impulsivity and energy intake, food-group consumption, diet quality, sna

173 sess whether impulsivity was associated with energy intake, food-group consumption, snacking, and ris

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

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

176 Immediately after the infusions, energy intake from a standardized buffet meal was quanti

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

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

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

180 had significantly higher percentage of total energy intake from fried foods, sweets, and beans, and a

181 % CI: 0.72, 0.98) per 0.1% increase in total energy intake from LC n-3 PUFAs in protective-allele (C-

182 likely to skip main meals and reported lower energy intake from main meals (P < 0.0001); however, the

183 y compensated for snack energy by decreasing energy intake from main meals without adverse associatio

184 ion as play in calves is strongly related to energy intake from milk.

185 mass was positively associated with both the energy intake from the ad libitum meal (beta: 17.612, R2

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

187 Percentage of energy intake from vegetable protein was associated with

188 At age 2 y, children had higher energy intakes from the "sweet and fat" (18% +/- 7%), "f

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

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

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

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

193 The best estimates of meal mass and energy intake had (mean +/- standard deviation) absolute

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

195 ective of its fat content, while maintaining energy intake has no effect on HbA1c, body weight, body

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

197 er risk than expected when faced with excess energy intake if they have the ability to expand their s

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

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

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

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

202 Exercise did not elevate energy intake in either genotype (P = 0.282).

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

206 the first evidence-based recommendations for energy intake in pregnant women with obesity.

207 143 305 participants who reported plausible energy intake in the food frequency questionnaire, mean

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

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

210 y a mean +/- SEM of 143 +/- 21 g/d (16%) and energy intake increased by 167 +/- 22 kcal/d (18%; both

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

212 of C12 and Trp, at loads that do not affect energy intake individually, when combined will reduce en

213 The daily pattern of energy intake is associated with adiposity and robust ci

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

215 ect persists over a longer period or whether energy intake is moderated through self-regulation.

216 C12 + Trp markedly reduced energy intake (kcal; control: 1,232 +/- 72, C12: 1,180 +

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

218 characterized by a persistent restriction of energy intake, leading to lowered body weight, constant

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

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

221 received more calories (percent recommended energy intake, mean [SD]; energy-dense: 103% [28] vs. us

222 bsorptiometry (DXA) which were combined with energy intake measurements to calculate energy expenditu

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

224 They demonstrated that energy intake need not increase in order for obese women

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 The 24-h energy intake on snack day was higher by 239 (140, 337)

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

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

229 degree than C12 + Trp, and did not suppress energy intake or ghrelin.

230 whether organisms are regulated by their own energy intake or interspecific interactions.

231 At baseline, no differences were observed in energy intake or physical activity levels between early

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

233 raphic, health, and dietary variables [i.e., energy intake or sugar-sweetened beverage (SSB) intake].

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

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 Higher overall energy intake predicted significantly higher mortality (

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

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

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

243 is unclear whether this is due to increased energy intake, reduced energy expenditure, or both.

244 Accurate and objective assessment of energy intake remains an ongoing problem.

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

246 metre travelled for walking and cycling from energy intake required to compensate for increased energ

247 We estimated that energy intake requirements for recommended weight gain d

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

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

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

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

252 Contrary to current recommendations, energy intake should not exceed energy expenditure.

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

254 lic consequences in the presence of a stable energy intake, slightly lower body weight, and potential

255 physical exercise, walking/cycling, height, energy intake, smoking habits, baseline Charlson's weigh

256 odels that were adjusted for age, sex, total energy intake, smoking, body mass index, hypertension, e

257 ducation, income, region of residence, total energy intake, smoking, physical activity, and sodium in

258 rp, at loads that individually do not affect energy intake, substantially reduces energy intake, whic

259 do increases of both energy expenditure and energy intake, suggesting the mere perception of cold is

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

261 ergetic daily dietary exchange [38% of total energy intake (%TE) from fat: control (dietary target: 1

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

263 As) would exhibit higher postprandial AG and energy intake than individuals homozygous for the low ob

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

265 Mean energy intake throughout the study was ~26% lower in the

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 econd and third trimesters was achieved when energy intake was 125+/-52 kcal/d less than energy expen

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

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

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

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

275 er fragmentation of the circadian pattern of energy intake was associated with lower BMI (in kg/m2; -

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

277 Energy intake was estimated via an objectively measured

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

279 Energy intake was not significantly greater with breakfa

280 Energy intake was not suppressed by protein compared wit

281 the age of 1 y, 64% +/- 13% (mean +/- SD) of energy intake was obtained from the "neutral" cluster, w

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

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

284 17, 95% CI: 1.07, 1.28), whereas higher late energy intake was significantly protective (HR: 0.91, 95

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

286 Here, we assessed sleep, circadian timing, energy intake, weight gain, and insulin sensitivity duri

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

288 ppetite-related hormones, BChE activity, and energy intake were assessed.

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

290 Macronutrient/energy intakes were associated with HC during the first

291 Macronutrient/energy intakes were associated with weight across hospit

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

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

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

295 affect energy intake, substantially reduces energy intake, which is associated with a marked stimula

296 take individually, when combined will reduce energy intake, which is associated with greater modulati

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

298 the association of the circadian pattern of energy intake with adiposity and with internal circadian

299 trition (enteral feeding type, macronutrient/energy intakes) with changes in anthropometrics over hos

300 Weight gain results from an increase in energy intake without a concomitant increase in energy e