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Report for D006963: Hyperphagia NIH

(Synonyms: Hyperphagia)

Developed by Shray Alag
Clinical Trial MeSH HPO Drug Gene SNP Protein Mutation


Correlated Drug Terms (5)


Name (Synonyms) Correlation
drug2398 Sustained attention Wiki 0.71
drug997 Generic Response Training Control Intervention Wiki 0.71
drug626 Computer Based Response Training Weight Loss Intervention Wiki 0.71
drug2640 Video Wiki 0.71
drug2885 media multi-task Wiki 0.71

Correlated MeSH Terms (3)


Name (Synonyms) Correlation
D001068 Feeding and Eating Disorders NIH 0.35
D063766 Pediatric Obesity NIH 0.32
D009765 Obesity NIH 0.29

Correlated HPO Terms (2)


Name (Synonyms) Correlation
HP:0002591 Polyphagia HPO 1.00
HP:0001513 Obesity HPO 0.29

There are 2 clinical trials

Clinical Trials


1 Translational Neuroscience: Response Training for Obesity Treatment

This project will test whether a food response training intervention produces lasting body fat loss, use objective brain imaging to examine the mechanism of effect of this treatment and investigate the generalizability of the training to non-training foods, and examine factors that should amplify intervention effects to provide a test of the intervention theory. This novel treatment represents a bottom-up implicit training intervention that does not rely on executive control, prolonged caloric deprivation, and expensive clinicians to deliver, like behavioral weight loss treatments that have not produced lasting weight loss. If this computer-based response training intervention produces sustained body fat loss in overweight individuals, it could be easily implemented very broadly at almost no expense, addressing a leading public health problem.

NCT03375853 Obesity Hyperphagia Feeding and Eating Disorders Behavioral: Computer Based Response Training Weight Loss Intervention Behavioral: Generic Response Training Control Intervention
MeSH:Obesity Hyperphagia Feeding and Eating Disorders
HPO:Obesity Polyphagia

Primary Outcomes

Description: Change in participant's body fat percentage

Measure: Body Fat Change

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Secondary Outcomes

Description: Eating disorder symptoms as measured with the Eating Disorder Diagnostic Interview

Measure: Change in Eating Disorder Symptoms

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Change in Dietary Restraint, Emotional Eating, and External Eating (aggregate score) as measured by the Dutch Eating Behavior Questionnaire

Measure: Dietary Restraint, Emotional Eating, and External Eating

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Chang in Disinhibited Eating as measured by the Three Factor Eating Questionnaire

Measure: Change in Disinhibited Eating Behavior

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Change in Eating When Not Hungry as measured by the Eating in the Absence of Hunger Questionnaire

Measure: Change in Eating in the Absence of Hunger Behavior

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Change in Problematic eating patterns associated with symptoms of addictive behaviors as measured by the Yale Food Addiction Scale

Measure: Change in Food Addiction Behavior

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Change in Physical Activity as measured by the Paffenberger Questionnaire

Measure: Change in Physical Activity

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Change in Substance use frequency (i.e., number of times per day) for alcohol of participants as measured by the Daily Drinking Questionnaire

Measure: Change in Alcohol Use Behavior

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Change in Substance use frequency (i.e., number of times per day) for common recreational drugs of participants as measured by the Daily Drug Taking Questionnaire

Measure: Change in Substance Use Behavior

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Change in Participant behavioral response to food pictures, and subjective palatability rating

Measure: Change in Participant Ratings of Unhealthy Food Palatability

Time: Baseline, 1 month

Description: Change in Participant behavioral response to food pictures, and willingness to pay given dollar amounts (aggregate score) for the pictured food

Measure: Change in Participant Ratings of Food Monetary Value

Time: Baseline, 1 month

Description: Change Participant food craving behaviors as measured by the Food Craving and Liking Scale

Measure: Change in Food Craving and Liking Behavior

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Change in Participant BMI using standard methods of calculation

Measure: Change in Body Mass Index

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Change in mean R-Peak Amplitude measured using three-lead ECG using PowerLab 8 Diagnostic Suite

Measure: Change in mean R-Peak Amplitude

Time: Baseline, 1 month, 3 months, 6 months, 12 months

Description: Change in Heart Rate Variability measured using three-lead ECG using PowerLab 8 Diagnostic Suite

Measure: Change in Heart Rate Variability

Time: Baseline, 1 month, 3 months, 6 months, 12 months

2 Media Multi-tasking and Cued Overeating: Assessing the Pathway and Piloting an Intervention Using an Attentional Network Framework

Childhood obesity is a critical public health problem in the United States. One factor known to contribute to childhood obesity is excess consumption. Importantly, excess consumption related to weight gain is not necessarily driven by hunger. For example, environmental food cues stimulate brain reward regions and lead to overeating even after a child has eaten to satiety. This type of cued eating is associated with increased attention to food cues; the amount of time a child spends looking at food cues (e.g., food advertisements) is associated with increased caloric intake. However, individual susceptibility to environmental food cues remains unknown. It is proposed that the prevalent practice of media multi-tasking—simultaneously attending to multiple electronic media sources—increases attention to peripheral food cues in the environment and thereby plays an important role in the development of obesity. It is hypothesized that multi-tasking teaches children to engage in constant task switching that makes them more responsive to peripheral cues, many of which are potentially harmful (such as those that promote overeating). The overarching hypothesis is that media multi-tasking alters the attentional networks of the brain that control attention to environmental cues. High media multi-tasking children are therefore particularly susceptible to food cues, thereby leading to increased cued eating. It is also predicted that attention modification training can provide a protective effect against detrimental attentional processing caused multi-tasking, by increasing the proficiency of the attention networks. These hypotheses will be tested by assessing the pathway between media-multitasking, attention to food cues, and cued eating. It will also be examined whether it is possible to intervene on this pathway by piloting an at-home attention modification training intervention designed to reduce attention to food cues. It is our belief that this research will lead to the development of low-cost, scalable tools that can train attention networks so that children are less influenced by peripheral food cues, a known cause of overeating. For example, having children practice attention modification intervention tasks regularly (which could be accomplished through user-friendly computer games or cell phone/tablet apps) might offset the negative attentional effects of media multi-tasking.

NCT03882957 Attention Concentration Difficulty Obesity, Childhood Behavioral: Sustained attention Behavioral: media multi-task Other: Video
MeSH:Pediatric Obesity Hyperphagia
HPO:Polyphagia

Primary Outcomes

Description: Eye-tracking will be used to measure the amount of time spent looking at static food cues while participants play a media game on the computer. The amount time spent looking at a food cue is a measure how much attention was given to the food cue. The longer the looking time, the greater amount of attention.

Measure: Amount of time spent looking at food cues while playing a media game

Time: approximately 15 minutes post-intervention

Description: The amount of kcals consumed of snack foods after participants have completed the intervention.

Measure: Amount of snack foods consumed post-intervention

Time: approximately 30 minutes post-intervention

Description: This questionnaire measures the amount of media multi-tasking in a typical hour of media use, by asking respondents to report their interaction with 12 forms of media. The 12 different media forms are print media, television, computer-based video, music, non-musical audio, video or computer games, telephone and mobile phone, instant messaging, text messaging, email, web surfing, and other computer-based applications. For each activity, respondents indicate how often they concurrently use the other 11 media forms, using a 4-point scale: never (0), a little of the time (0.33), some of the time (0.67), and most of the time (1).

Measure: Daily usual media multi-tasking

Time: approximately 10 minutes prior to the intervention


HPO Nodes