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1 tissues independent of mechanisms regulating eating behavior.
2 cesses (liking and wanting) in driving human eating behavior.
3 ight influence the development of compulsive eating behavior.
4 ody mass index, age, sex, comorbidities, and eating behavior.
5 a hindered ability to make changes in their eating behavior.
6 d (GL) are derived do not reflect real-world eating behavior.
7 ined the neural correlates of addictive-like eating behavior.
8 he polymorphism, influence reward coding and eating behavior.
9 ptors and these forms of naturally occurring eating behavior.
10 mental effects of social influences on their eating behavior.
11 uniquely relevant and influential to youths' eating behavior.
12 ical factor linking reduced energy stores to eating behavior.
13 ith this mutation normalized body weight and eating behavior.
14 associated with measurable effects on child eating behavior.
15 tial for an innate compensation mechanism of eating behavior.
16 We investigated the genetic underpinnings of eating behavior.
17 shell sites elicited appetitive increases in eating behavior.
18 rphine at locations that caused increases in eating behavior.
19 f genetic and environmental factors in human eating behavior.
20 ivity are accompanied by specific changes in eating behavior.
21 educed 2 h food intake, 8-OH-DPAT stimulated eating behavior.
22 ors may affect different stimuli that impact eating behavior.
23 , eating disorders, and other pathologies of eating behavior.
24 tributes to metabolic control by suppressing eating behavior.
25 ic, neuroendocrine, and visual modulation of eating behavior.
26 sm, and may control leptin levels and affect eating behavior.
27 nt is rapid and includes dramatic changes in eating behavior.
28 tionship between perceived food scarcity and eating behavior.
29 ful eating are protective against disordered eating behaviors.
30 ing to probe the underlying basis of altered eating behaviors.
31 fast life-history strategy, and dysregulated-eating behaviors.
32 ing a key regulator of reward-based, hedonic eating behaviors.
33 did not translate into unequivocally better eating behaviors.
34 d the prefrontal cortex result in compulsive eating behaviors.
35 es increased physical activity and healthful eating behaviors.
36 changes across groups and their relations to eating behaviors.
37 ay be a viable strategy to promote healthier eating behaviors.
38 dy, the microbial community itself, or human eating behaviors.
39 ility, continue to mold food preferences and eating behaviors.
40 ress) and consummatory (going to the feeder, eating) behaviors.
42 he study was to obtain objective measures of eating behavior among patients with AN before and immedi
43 latively few objective laboratory studies of eating behavior among persons with eating disorders.
45 re, we present evidence to relate compulsive eating behavior and addiction and to characterize their
46 mol microinjections (75 ng) caused increased eating behavior and also caused positive conditioned pla
47 results show that OSU6162 reduces binge-like eating behavior and attenuates the impact of cues on see
49 y abnormal patterns of weight regulation and eating behavior and by disturbances in attitudes and per
50 utrients to the brain, initiating changes in eating behavior and energy expenditure, to maintain ener
51 bstrates in the VP that mediate increases in eating behavior and enhancements in taste hedonic "likin
56 no adverse effects of aspiration therapy on eating behavior and no evidence of compensation for aspi
61 activation are implicated in addictive-like eating behavior and substance dependence: elevated activ
62 ivating these neurons to suppress binge-like eating behavior and suggest ERalpha and/or SK current in
64 ion, we tested for interactions between each eating behavior and the BMI-GRS on BMI.The association b
66 Neuropeptide Y (NPY) is known to stimulate eating behavior and to be related to behavioral patterns
67 y heart disease (CHD), CHD risk factors, and eating behavior and to examine whether the associations
70 an intention to lose weight reported better eating behaviors and a more active lifestyle than did pa
72 ammatory marker or adipokine concentrations, eating behaviors and changes in waist circumference duri
73 rgery and that these changes would influence eating behaviors and contribute to the positive outcomes
74 he utility of programs to modify problematic eating behaviors and eating patterns should be addressed
75 eliminary findings suggest that pathological eating behaviors and frank eating disorders are surprisi
77 ticipants completed questionnaires to assess eating behaviors and substance use at preoperative basel
79 that parental feeding determines children's eating behaviors and weight gain, but feeding practices
81 ecent literature examining eating disorders, eating behavior, and body image in middle-aged and elder
82 e and fat fuel interactions appear to affect eating behavior, and may play a role in the overconsumpt
84 nisms by which ghrelin mediates reward-based eating behavior, and those studies suggesting an obligat
86 ly adolescence, which can lead to disordered eating behaviors, and future cardiometabolic health is,
87 s important for both homeostatic and hedonic eating behaviors, and its orexigenic actions occur mainl
88 to 18 mo of age on food and nutrient intake, eating behaviors, and parental feeding practices in 18-
91 indings indicate that the effects of BDNF on eating behavior are neural substrate-dependent and that
96 Potentially modifiable mechanisms, including eating behaviors, are of particular interest to public h
97 eostatic central nervous networks regulating eating behavior as well as decreased hunger feelings and
98 outcomes included energy self-regulation and eating behaviors assessed with questionnaires at 6, 12,
99 , the GABAA antagonist bicuculline increased eating behavior at all VP sites, yet completely failed t
103 1; 2001-2003) was associated with disordered eating behaviors at time 2 (2004-2006), as well as weigh
104 gained popularity in contributing to healthy eating behavior because of their antioxidant properties
105 on of bitter tastes has been associated with eating behavior, body composition, and cardiovascular di
106 sitive/negative valence (positive appetitive eating behavior but negative place avoidance and negativ
107 l accumbens shell in rats elicits appetitive eating behavior, but in the caudal shell instead elicits
109 titive direction by amplifying generation of eating behavior by middle to caudal NAc disruptions, wit
110 or reducing maladaptive, palatability-driven eating behavior by reducing the motivational properties
113 y outcomes examined included meal- and snack-eating behaviors, clock time of eating episodes, and int
114 ammatory marker or adipokine concentrations, eating behaviors, comorbid psychiatric disorders or life
116 amined the association of SES with disturbed eating behavior (DEB) and related factors in Korean adol
118 nts with AN show a persistent disturbance in eating behavior, despite the restoration of body weight
119 d with sham tDCS) has an immediate effect on eating behavior during ad libitum food intake, resulting
121 o how and what children learn about food and eating behavior during these first years is limited.
122 neurotransmission may contribute to improved eating behavior (e.g. reduced hunger and improved satiet
123 importance of assessing behaviors related to eating behavior, eating problems, weight control practic
124 enty-five postoperative behaviors related to eating behavior, eating problems, weight control practic
125 Individual patterns of food preferences and eating behaviors emerge and differ depending on the food
127 pleted validated questionnaires on appetite, eating behaviors, energy consumption, and dietary macron
128 e within-person differences in self-reported eating behaviors, energy intake, and other dietary chara
130 lations, and can be applied to determine how eating behavior factors influence total food intake.
131 demonstration that muscimol elicits positive eating behavior from rostral shell versus negative defen
133 fluence of parents versus friends on youths' eating behavior has not been directly compared, and litt
142 our understanding of structures that control eating behavior in patients with FTD and healthy individ
145 determinant of CHD, related risk factors, or eating behavior in the British Women's Heart and Health
146 rvational learning affect the development of eating behavior in the context of the current food envir
149 ompleted a validated questionnaire to assess eating behaviors in 4 domains: refusal/picky eating, ora
153 t differences in food and nutrient intake or eating behaviors in the groups receiving the FAB interve
154 appetitive (food-seeking) and consummatory (eating) behaviors in vGat-ires-cre mice, while inhibitio
155 tions were observed between gut microbes and eating behaviors, including eating frequency, early ener
157 tin-responsive pathways in the regulation of eating behavior, intermediary metabolism, and the onset
159 e extent to which participants believe their eating behavior is being measured may affect energy inta
164 ion of the links between PTSD and obesogenic eating behaviors is necessary to clarify this pathway an
167 importance of the hippocampus in modulating eating behaviors linked to emotional eating and lack of
168 works involved in mediating these changes in eating behavior may enable treatment of these features i
169 ution and air-displacement plethysmography), eating behavior (measured by using a 3-factor eating que
170 est to public health.Here we explore whether eating behaviors mediate or modify genetic susceptibilit
171 ed to emotion, eating related to reward, non-eating behavior motivated by reward or sensitivity to pu
174 ror neurons that cause people to imitate the eating behavior of others without awareness; and limited
175 s syndrome, the obsessions of OCD, the binge eating behaviors of bulimia, and the self-starvation of
178 overall dietary patterns that reflect actual eating behaviors on mortality caused by cardiovascular o
179 Relatively little is known about changes in eating behavior or hormonal responses to food after bari
181 se alterations are secondary to pathological eating behavior or traits that could contribute to the p
182 a are available on the normal development of eating behavior, or resilience and risk factors for eati
184 in energy and nutrient intake as well as in eating behavior phenotypes and selected eating disorders
185 ibition, and hunger and 1-y changes in these eating behaviors predict short- and long-term weight cha
187 essed eating behavior using the Three-Factor Eating Behavior Questionnaire 18 and burnout using the B
188 etite was assessed with the use of the Child Eating Behavior Questionnaire when the children were 16
192 the twins completed 4 subscales of the Baby Eating Behavior Questionnaire: "enjoyment of food," "foo
195 r studied, with subthreshold loss-of-control eating behaviors receiving increased empirical examinati
196 eptide, galanin (GAL), is known to stimulate eating behavior, reduce energy expenditure and affect th
198 mined the association of sleep duration with eating behaviors reported by adult Americans to understa
202 should be treated first and that burnout and eating behavior should be evaluated in obesity treatment
203 However, little is known about downstream eating behaviors subsequent to skipping breakfast in fre
207 rweight individuals also display patterns of eating behavior that resemble the ways in which addicted
208 d fast-food outlets and individual unhealthy eating behaviors that jointly affect weight gain; howeve
209 n short-duration sleepers were suggestive of eating behaviors that may increase energy intake, but 24
210 ychiatric disorder characterized by abnormal eating behaviors that results in weight loss and has ser
211 ing and energy restriction and may influence eating behaviors through brain hedonic reward-cognitive
212 ing appetite ratings (visual analog scales), eating behavior traits (Three-Factor Eating Questionnair
213 y was partially mediated by the "appetitive" eating behavior traits (uncontrolled and emotional eatin
216 n important role in attenuating reward-based eating behavior via striatal pathways, independent of ch
217 Alzheimer disease) were recruited, and their eating behavior was compared with that of 25 healthy con
221 void the confounding effects of pathological eating behavior, we studied 30 women after long-term rec
226 rsations that were focused only on healthful eating behaviors were less likely to diet and use unheal
228 hat small doses of leptin that do not effect eating behavior when delivered to the ventricle or the d
229 ith increased risk for adolescent disordered eating behaviors, whereas conversations focused on healt
230 rly learning influences food preferences and eating behavior, which, in turn, shape differences in di
231 It is unclear whether objective measures of eating behavior will prove useful in evaluating the impa
233 the association of psychological measures of eating behavior with the accuracy of rEI assessed by 7-d
234 o determine the association of 3 measures of eating behavior with weight gain and body mass index (BM
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