ライフサイエンスコーパス: eating

1 vement of dopamine in LH stimulation-induced eating.

2 rons play in habit formation and maladaptive eating.

3 ce were more prone to habits and maladaptive eating.

4 to increased glucose levels that occur with eating.

5 to the emerging practice of time-restricted eating.

6 this is known as the social facilitation of eating.

7 ith orofacial function including talking and eating.

8 ell bodies failed to induce food approach or eating.

9 w with palatable diet, a model of compulsive eating.

10 sms and circuitry underlying non-homeostatic eating.

11 nd weight loss barriers associated with late eating.

12 and DAT systems in this model of compulsive eating.

13 of-control eating [8.0% (5.1-11.0) for binge eating; 1.6 (-0.1 to 3.3) for loss of control, vs neithe

14 (0.1-3.1)], binge eating and loss-of-control eating [8.0% (5.1-11.0) for binge eating; 1.6 (-0.1 to 3

15 eral, for people already diagnosed with KOA, eating a diet rich in fruits, vegetables, fish, whole gr

16 Our findings indicate that eating a healthy diet might reduce the risk of acquired

17 MF(lim) reached 81 for an adult domestic dog eating a lipid-rich diet.

18 For an adult wolf eating a relatively lean meat diet, a BMF(lim) (averaged

19 AT (The Study With Appetizing Plantfood-Meat Eating Alternatives Trial) was a single-site, randomized

20 >1 billion years ago and includes the "brain-eating amoeba." Unlike nearly all other known eukaryotic

21 2009 and 2014 from the UK Pregnancies Better Eating and Activity Trial (UPBEAT), a randomised control

22 a significant association between intuitive eating and BMI decrease after bariatric surgery.

23 Satiation is the process by which eating and drinking reduce appetite.

24 t obesity prevention efforts focus solely on eating and exercise; the evidence reviewed in this artic

25 tify the evidence for social facilitation of eating and identify moderating factors and underlying me

26 DESIGN, SETTING, AND PARTICIPANTS: The Men's Eating and Living (MEAL) Study (CALGB 70807 [Alliance])

27 eating continuously [1.6% (0.1-3.1)], binge eating and loss-of-control eating [8.0% (5.1-11.0) for b

28 ons, which in turn lead to further unhealthy eating and obesity.

29 Binge eating and other forms of disordered eating behavior (DE

30 Lifestyle modifications focused on healthy eating and regular exercise are the primary recommendati

31 y was to evaluate the link between intuitive eating and weight loss after bariatric surgery.

32 Self-reported binge eating and/or purging were used to indicate presence of

33 in response to negative emotions (emotional eating) and environmental cues (external eating) have bo

34 factors-ie, rapidly changing diets, norms of eating, and physical activity patterns-and by broader ec

35 "infrequent and unhealthy eating," "avoidant eating," and "emotional and external eating." The highes

36 s, inherent motor impulsivity and binge-like eating are linked and the vmPFC to NAcSh pathway serves

37 ring the efficacy and feasibility of daytime eating as a behavioral modification for real-world condi

38 abeled "snacking," "infrequent and unhealthy eating," "avoidant eating," and "emotional and external

39 tifying genetic variants that regulate binge eating (BE) is critical for understanding the factors th

40 Binge eating and other forms of disordered eating behavior (DEB) are associated with failed inhibit

41 Behavioral variables included eating behavior [Three-Factor Eating Questionnaire (TFEQ

42 rts might therefore benefit from focusing on eating behavior change, particularly in genetically susc

43 We identified compulsive-like eating behavior in female rats through progressive ratio

44 VN) is necessary for the expression of binge-eating behavior in female rats.

45 tastes predicts similar food preferences and eating behavior in later life and is associated with chi

46 Compulsive eating behavior is hypothesized to be driven in part by

47 MI and sum of skinfolds (SSF), and candidate eating behavior moderators were portion size, eating rat

48 The dysfunctional eating behavior of VAChTcKO mice was alleviated by donep

49 ntified 4 moderately heritable (h2 = 36-48%) eating behavior patterns labeled "snacking," "infrequent

50 Eating behavior patterns share a common genetic liabilit

51 to test mediation models between the PRSBMI, eating behavior patterns, and obesity measures.

52 sed principal component analyses to identify eating behavior patterns, twin modeling to decompose cor

53 on the food/nonfood reinforcement task, Baby Eating Behavior Questionnaire, and anthropometrics and d

54 Energy balance and eating behavior were also normal, even after exposure to

55 at translates taste stimulation to motivated eating behavior when hungry may facilitate food avoidanc

56 tions, ate faster, and consumed more energy (eating behavior x risk score interactions: P < 0.05).

57 ary focus on anorexia nervosa (AN) and binge-eating behavior, and encourages further study of all con

58 e primary impairments, the result of altered eating behavior, or side effects of psychotropic medicat

59 rentiated rats with the most compulsive-like eating behavior.

60 contribute to the perpetuation of compulsive eating behavior.

61 goal-directed behaviors and had no impact on eating behavior.

62 XFP3 blockade within the PVN prevented binge-eating behavior.

63 halamic RLN3/RXFP3 signaling regulates binge-eating behavior.SIGNIFICANCE STATEMENT Binge-eating diso

64 It is known that the mouse-genome, eating-behavior, and exercise-status promotes higher tax

65 They self-reported their height and weight, eating behaviors (15 items), diet quality, and self-meas

66 their CVD risk status, benefit from healthy eating behaviors and appropriate physical activity.

67 Also, individual eating behaviors and nutritional satisfaction are linked

68 the nucleus accumbens [NAcc]) and unhealthy eating behaviors and outcomes; however, the mechanisms u

69 mes a day; however, compensatory dietary and eating behaviors associated with snacking in free-living

70 Furthermore, eating behaviors changed with increasing time since surg

71 ly regulate fat metabolism without affecting eating behaviors in Caenorhabditis elegans, and identifi

72 The role of potentially modifiable eating behaviors in this association is unclear.

73 mice was sufficient to phenocopy maladaptive eating behaviors of VAChTcKO mice.

74 that genetic risk for obesity may influence eating behaviors that contribute to weight and could be

75 aggerated depressive-like behaviors, changed eating behaviors, and altered metabolism in response to

76 ing for sociodemographics, health status and eating behaviors.

77 1000 d and adiposity at 6 y is moderated by eating behaviors.

78 olites associated with healthy and unhealthy eating behaviors.

79 te risk score and adiposity was moderated by eating behaviors.

80 pended may reflect a failure of control over eating behaviour in obesity.

81 rging insights into the molecular origins of eating behaviour, energy expenditure, dyslipidaemia and

82 , humans and their rubbish; and between seed-eating birds, cattle, and bovine manure.

83 rodents, humans and their rubbish, and seed-eating birds, humans and their rubbish; and between seed

84 This study identified the health benefits of eating Blackjack and therefore, the cultivation and cons

85 mites enhance beetle reproductive success by eating blowfly eggs.

86 Compulsive eating characterizes many binge-related eating disorders

87 ating disorder symptoms (body shape, weight, eating concerns, and dietary restraint), and clinical im

88 , eating when feeling full [2.9% (1.2-4.5)], eating continuously [1.6% (0.1-3.1)], binge eating and l

89 entary time, eating fast food, binge eating, eating continuously, not weighing oneself regularly) and

90 ed significant reductions in objective binge-eating days (beta=-0.66, 95% CI=-1.06, -0.25; Cohen's d=

91 may promote hallmark bulimic behaviors-binge eating, dietary restriction, and purging.

92 Plant-eating dinosaurs evolved varied feeding strategies.

93 ia nervosa (AN), bulimia nervosa (BN), binge eating disorder (BED), and purging disorder (PD).

94 (n = 13), bulimia nervosa (n = 6), and binge-eating disorder (n = 1), published between January 2003

95 , PD (OR: 1.46; 95% CI: 1.23, 1.74), and any eating disorder (OR: 1.32; 95% CI: 1.12, 1.56), but not

96 He started Pica eating disorder (sand and sponge) due to anemia from 5 y

97 ine weight suppression to onset risk of each eating disorder controlling for age, dietary restraint,

98 atives was compared with individuals without eating disorder diagnoses and their relatives.

99 Identifying risk factors specific to each eating disorder is critical for advancing etiologic know

100 eating behavior.SIGNIFICANCE STATEMENT Binge-eating disorder is the most common eating disorder world

101 Binge-eating disorder is the most common eating disorder.

102 bulimia nervosa, binge-eating disorder, and eating disorder not otherwise specified) for probands an

103 s index >=18.5, met criteria for DSM-5 binge eating disorder or bulimia nervosa, had 12 months of con

104 uits and neurotransmitters involved in binge-eating disorder pathology and identify RXFP3 as a therap

105 oss the genome of anorexia nervosa and binge-eating disorder patients.

106 s of touch was not modulated by subthreshold eating disorder psychopathology.

107 ed with 56.8%; number needed to treat=5.11), eating disorder symptoms (body shape, weight, eating con

108 in standard care, none of whom received any eating disorder treatment during the intervention period

109 zes, and to broaden the focus to include all eating disorder types.

110 Anorexia nervosa is a complex eating disorder with genetic, metabolic, and psychosocia

111 ENT Binge-eating disorder is the most common eating disorder worldwide, affecting women twice as freq

112 f BN and PD but not onset of AN, BED, or any eating disorder, and baseline current weight was inverse

113 ating disorders (OED: bulimia nervosa, binge-eating disorder, and eating disorder not otherwise speci

114 ms: anorexia nervosa, bulimia nervosa, binge eating disorder, avoidant-restrictive food intake disord

115 Binge-eating disorder is the most common eating disorder.

116 strate for observed sex differences in binge-eating disorder.

117 intake of high-fat food (HFF) seen in binge eating disorder.

118 ion between impulsivity, dietary intake, and eating disorders (EDs) in a general population.

119 153), substance use disorders (N = 131), and eating disorders (N = 14)-who failed to increase their p

120 iagnoses for anorexia nervosa (AN) and other eating disorders (OED: bulimia nervosa, binge-eating dis

121 Eating disorders affect 13% of females and contribute to

122 Eating disorders and schizophrenia are both moderately t

123 ility contributes to the association between eating disorders and schizophrenia.

124 rich opportunity to sharpen animal models of eating disorders and to identify neural mechanisms that

125 0.80 to 0.84), and the highest was 3.62 for eating disorders and urogenital conditions (95% CI, 3.11

126 Eating disorders are complex heritable conditions influe

127 Eating disorders are disabling, deadly, and costly menta

128 Eating disorders are life-interrupting psychiatric condi

129 Six main feeding and eating disorders are now recognised in diagnostic system

130 Eating disorders are one of the most common chronic cond

131 As eating disorders are under-researched, there is a great

132 ns in symptoms of binge eating, purging, and eating disorders compared with standard care.

133 Eating disorders have been increasing over the past 50 y

134 m genomic and neuroimaging investigations of eating disorders in humans presents a rich opportunity t

135 The majority of epigenetic analyses of eating disorders investigated methylation at candidate g

136 The presentation form of eating disorders might vary for men versus women, for ex

137 ood consumption is fundamental for life, and eating disorders often result in devastating or life-thr

138 The field of epigenetics in eating disorders remains in its infancy.

139 nt body of evidence on epigenetic factors in eating disorders to inform future directions in this are

140 vosa Genetics Initiative (ANGI)(8,9) and the Eating Disorders Working Group of the Psychiatric Genomi

141 luding substance and behavioural addictions, eating disorders, and attention deficit/hyperactivity di

142 t may be useful targets for sleep disorders, eating disorders, or addictive behavior.

143 sive eating characterizes many binge-related eating disorders, yet its neurobiological basis is poorl

144 athology, including depression, anxiety, and eating disorders.

145 RXFP3 as a therapeutic target for binge-like eating disorders.

146 y disrupt homeostatic mechanisms and lead to eating disorders.

147 (CBT) has shown efficacy in the treatment of eating disorders.

148 a key role in the origin and maintenance of eating disorders.

149 t and current weight are at greatest risk of eating disorders.

150 on, as in the putative role of mass media in eating disorders.

151 ion has been recently proposed as pivotal to eating disorders.

152 all conditions categorized under feeding and eating disorders.

153 21) controls metabolic organ homeostasis and eating/drinking behavior via FGF receptor 1/Klothobeta (

154 age, mouth problems (mouth sores, difficulty eating, dry mouth, bad breath, and/or jaw pain), teeth p

155 he chronotype, eating patterns (meal timing, eating duration, and eating frequency), and we obtained

156 more sedentary time, eating fast food, binge eating, eating continuously, not weighing oneself regula

157 14), and the LBP to sCD14 ratio 1 h prior to eating either a high-saturated-fat meal or a high-oleic-

158 GABA neurons blocked LH stimulation-induced eating, establishing them as a critical downstream circu

159 Formicinae ants, while N. exornata is an ant-eating euryphagous predator catching mainly Myrmicinae a

160 (1.2-4.7), for highest vs lowest quartile], eating fast food [0.5% (0.2-0.7) per meal/wk], eating wh

161 several behaviors (eg, more sedentary time, eating fast food, binge eating, eating continuously, not

162 and empty buckets) and 'Eating' (time spent eating food and total intake) did not predict exploratio

163 The 3 questionnaire subscores (Eating for Physical Rather than Emotional Reasons, Relia

164 In addition, a greater eating frequency (>=5 eating occasions/d) was significan

165 Our results shed light on the relevance of eating frequency as a potential zeitgeber for the circad

166 Although more evidence is needed, eating frequency could be considered for future chrono-n

167 Furthermore, a greater eating frequency was associated with lower fragmentation

168 patterns (meal timing, eating duration, and eating frequency), and we obtained the daily profile of

169 s a caregiver, and resident age, gender, and eating function.

170 rds small, fast-lived, highly fecund, insect-eating, generalists.

171 Carnivorous eating habits are linked to TMAO levels in the animal ki

172 are providers should routinely enquire about eating habits as a component of overall health assessmen

173 Within Dutch eating habits, satisfying optimization constraints requi

174 ans, with important implications for optimal eating habits.

175 h we suggest that the social facilitation of eating has evolved as an efficient evolutionary adaptati

176 ough day-to-day variability in the timing of eating has poor stability, the timing of eating measured

177 nal eating) and environmental cues (external eating) have both been associated with BMI.

178 ic activation of beta'2 DANs restored normal eating in animals fed high sucrose.

179 Finally, in a model of binge-eating in female rats, RXFP3 blockade within the PVN pre

180 ting habits and vulnerability to maladaptive eating in mice.

181 (authorized under conditions for hunting and eating in New Caledonia) we investigated the role of the

182 mic (LH) GABA neurons induces rapid vigorous eating in sated animals.

183 te, and energy intake during lunch and in an eating in the absence of hunger task.

184 tic education programs centered on intuitive eating in the postoperative period.

185 were used to calculate the Alternate Healthy Eating Index (AHEI), a measure of diet quality that has

186 lthy Eating Index (HEI), Alternative Healthy Eating Index (AHEI), and alternate Mediterranean diet (a

187 ocessed meat; and saturated fat) and Healthy Eating Index (HEI) 2015 score (range, 0-100).

188 om quintiles were compared on the US Healthy Eating Index (HEI) and on the amounts of specific nutrie

189 hy dietary patterns, measured by the Healthy Eating Index (HEI), Alternative Healthy Eating Index (AH

190 etary Inflammatory Index (E-DII) and Healthy Eating Index (HEI)-2015 scores were computed.

191 dy was assessed with the Alternative Healthy Eating Index 2010 (AHEI-2010) in 1991-1994, 1997-1999, a

192 anean (AMED) diets and the Alternate Healthy Eating Index 2010 (AHEI-2010) were calculated using vali

193 ake, 8% and 11% for a high Alternate Healthy Eating Index 2010, 9% and 5% for being physically active

194 To date, Healthy Eating Index 2015 (HEI-2015) scores have not been publis

195 ean-style diet score and Alternative Healthy Eating Index and lower risk for all-cause mortality (P=5

196 quality as measured by the Alternate Healthy Eating Index improves, and the risk of these health prob

197 style diet score and the Alternative Healthy Eating Index score.

198 patterns (assessed by the Alternate Healthy Eating Index) and was attenuated by healthy dietary patt

199 ty, alcohol consumption, Alternative Healthy Eating Index, and diabetes.

200 nean-style diet score or Alternative Healthy Eating Index, or both, in European ancestry participants

201 rranean Diet (AMED), and Alternative Healthy Eating Index-2010 (AHEI-2010) from dietary intakes estim

202 nsion (DASH) diet, and the alternate Healthy Eating Index-2010 (AHEI-2010) in association with frailt

203 of intake for lunch, measured by the Healthy Eating Index-2010 (HEI-2010) score (range, 0-100; 0 indi

204 ted for confounders, including other Healthy Eating Index-2010 components.

205 We used factor analyses and the Healthy Eating Index-2015 (HEI-2015) score to derive maternal di

206 rs from the food neophobia test (3 factors: 'Eating', 'Inspecting', and 'Avoidance').

207 Our results suggest that late eating is associated with cardiometabolic risk factors a

208 Furthermore, stimulation-induced eating is attenuated by dopamine lesions or receptor ant

209 echanism leading to aroma persistence during eating is not fully described.

210 Time-restricted eating is recommended, whereby intermittent fasting is d

211 , how these peripheral alterations influence eating is unknown.

212 Such "distracted eating" is associated with increased food intake and ove

213 Autophagy, self-eating, is a pivotal catabolic mechanism that ensures ho

214 ope, or the Balkans have a common feature of eating large quantities of fermented foods.

215 d a total esophageal bolus obstruction while eating lunch at the local hospital.

216 l observations have shown that the timing of eating may be important for health-related outcomes.

217 haracteristics and behaviors related to late eating may be useful in the development of future interv

218 The missing glycemic reduction by eating meals ranked according to the discordant CGM was

219 of eating has poor stability, the timing of eating measured for a week is stable across months withi

220 y new habitats, and modify those habitats by eating new food plants.

221 Lower odds of association were found between eating nitrated dry cured meat and other psychiatric dis

222 We found that a history of eating nitrated dry cured meat but not other meat or fis

223 lasma LEAP2 and acyl-ghrelin due to fasting, eating, obesity, Roux-en-Y gastric bypass (RYGB), vertic

224 In addition, a greater eating frequency (>=5 eating occasions/d) was significantly associated with lo

225 h increased insulin resistance and emotional eating or disinhibition showed higher brain reactivity t

226 jects with metabolic syndrome who fasted (no eating or drinking) from dawn to sunset for more than 14

227 0.05, 0.23), and always washing hands before eating or preparing foods (aOR: 0.33; 95% CI: 0.12, 0.87

228 st [OR - 2.145 (95% CI 1.688, 2.725)], quick eating [OR - 1.394 (95% CI 1.091-1.780)] and inadequate

229 )), Sugar-sweetened beverages (SSB(dp)), and Eating out noodles (EO-N(dp)).

230 ly communication via email supported healthy eating, PA, and appropriate weight gain.

231 lity to obesity can be partly mediated by an eating pattern characterized by frequent snacking.

232 ifferences in quantitative, qualitative, and eating pattern outcomes between the snack and no-snack r

233 030: 2.5 kg CO2-eq pppd; no target], modeled eating patterns (food-based dietary guidelines; flexitar

234 rom these data, we evaluated the chronotype, eating patterns (meal timing, eating duration, and eatin

235 governmental Panel on Climate Change (IPCC), eating patterns must change.

236 the lack of a consistent approach to define eating patterns relative to internal circadian rhythms l

237 As the duration of the eating performance cycle increased, staff-facilitated cy

238 An eating performance cycle is defined as the process of ge

239 pe of food (solid, liquid), duration of each eating performance cycle, and intake outcome (intake, no

240 iation between intake and characteristics of eating performance cycles among nursing home residents w

241 Totally 1122 eating performance cycles were coded from 111 video clip

242 heme was used to code the characteristics of eating performance cycles, including eating technique (r

243 ng on the role of characteristics of dynamic eating performance cycles.

244 tance of supporting resident independence in eating performance, providing liquid food when residents

245 ntly (p < 0.05) during the optimum sweetcorn eating period (23 to 28 DAP) and continued to increase a

246 ed attitudes towards weight, body shape, and eating play a key role in the origin and maintenance of

247 s of color vision diversification with fruit-eating primates.

248 CI 2-27), insomnia (MD 20, 95% CI 8-32), and eating problems (MD 14, 95% CI 3-24) compared to patient

249 with a portable potentiostat after the mild eating procedure.

250 ield greater reductions in symptoms of binge eating, purging, and eating disorders compared with stan

251 arbling, two major attributes of bovine meat-eating qualities for consumers' satisfaction.

252 ables included eating behavior [Three-Factor Eating Questionnaire (TFEQ)] and habitual physical activ

253 eater oro-sensory exposure (OSE) and a lower eating rate (ER).

254 ating behavior moderators were portion size, eating rate, and energy intake during lunch and in an ea

255 ortions (5.03 kcal; 0.47, 9.60 kcal), faster eating rates (0.40 g/min; 0.21, 0.59 g/min), and larger

256 Eating raw oysters can come with serious health risks, a

257 exert their influence on body weight through eating-related behaviors.

258 est support this enhancement while balancing eating-related safety/risks.

259 ood choice reflects society's moral views on eating right.

260 tive eating was evaluated with the Intuitive Eating Scale-2 (IES-2).

261 A delayed eating schedule is associated with increased risk of obe

262 Overall, an 8-week daytime eating schedule, compared to a delayed eating schedule,

263 ytime eating schedule, compared to a delayed eating schedule, promotes weight loss and improvements i

264 ucose were not differentially altered by the eating schedules.

265 Measures of compulsive eating severity also directly correlated to leptin, body

266 cal behaviours, such as gambling, compulsive eating, shopping, or disinhibited sexual behaviours, whi

267 namic image processing for simulating actual eating situations.

268 nated by large-eat-small foraging (consumers eating smaller resources) whenever (1) many top consumer

269 results show that Callilepis species are ant-eating (specialised) stenophagous predators, catching ma

270 foliage to redress sterol deficits caused by eating sterol-deficient prey.

271 These may be beneficial eating strategies, particularly for type 2 diabetic pati

272 erence in terms of the downstream effects of eating styles.

273 ne contents of species from the mostly plant-eating suborder Polyphaga with those of the mainly preda

274 ctively, this novel model of compulsive-like eating symptoms demonstrates adaptations in insula-ventr

275 tics of eating performance cycles, including eating technique (resident-completed, staff-facilitated)

276 Though the interaction between eating technique and type of food was not significant, t

277 effects of eating technique by type of food, eating technique by duration, and type of food by durati

278 s used to examine the interaction effects of eating technique by type of food, eating technique by du

279 Furthermore, eating the enriched foods resulted in clinically relevan

280 rates and is an important survival response: eating the wrong food may be deadly.

281 voidant eating," and "emotional and external eating." The highest phenotypic correlation with obesity

282 at baseline): quantity and quality of sleep, eating three meals a day, having a regular diet, alcohol

283 pent inspecting food and empty buckets) and 'Eating' (time spent eating food and total intake) did no

284 : a monthly timescale with more stability in eating timing than a daily timescale.

285 Here we examined the stability of eating timing, using both clock hour and relative circad

286 Eating tomatoes was negatively associated.

287 In particular, time restricted eating (TRE) has been popularized in the diet industry w

288 tance, perceived overeating or 'uncontrolled eating' (UE) is the most common obesity-associated perso

289 Intuitive eating was evaluated with the Intuitive Eating Scale-2 (

290 Similar eating was induced by stimulation of LH GABA terminals o

291 during an overnight in-laboratory visit and eating was photographically recorded for one week to ass

292 The timing of eating was stable across months (~ 1-h variation, ICCs r

293 locating food) and maladaptive (e.g., binge eating) ways.

294 Using a model of binge-eating, we demonstrated that relaxin-3/RXFP3 signaling i

295 and was correlated with the arrival of krill-eating whales.

296 ting fast food [0.5% (0.2-0.7) per meal/wk], eating when feeling full [2.9% (1.2-4.5)], eating contin

297 TRE involves confining the eating window to a specified number of hours per day (us

298 th a smartphone app, Noom Monitor, for binge eating with or without purging.

299 h suggests that people tend to eat more when eating with other people, compared with when they eat al

300 f food stimuli normally increases to promote eating, yet individuals with anorexia nervosa avoid food