Developed by Shray Alag, The Harker School
Sections: Correlations,
Clinical Trials, and HPO
Navigate: Clinical Trials and HPO
| Name (Synonyms) | Correlation | |
|---|---|---|
| drug3839 | Sustained attention Wiki | 0.71 |
| drug1014 | Computer Based Response Training Weight Loss Intervention Wiki | 0.71 |
| drug1636 | Generic Response Training Control Intervention Wiki | 0.71 |
Navigate: Correlations HPO
There are 2 clinical trials
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.
Description: Change in participant's body fat percentage
Measure: Body Fat Change Time: Baseline, 1 month, 3 months, 6 months, 12 monthsDescription: 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 monthsDescription: 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 monthsDescription: 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 monthsDescription: 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 monthsDescription: 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 monthsDescription: Change in Physical Activity as measured by the Paffenberger Questionnaire
Measure: Change in Physical Activity Time: Baseline, 1 month, 3 months, 6 months, 12 monthsDescription: 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 monthsDescription: 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 monthsDescription: Change in Participant behavioral response to food pictures, and subjective palatability rating
Measure: Change in Participant Ratings of Unhealthy Food Palatability Time: Baseline, 1 monthDescription: 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 monthDescription: 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 monthsDescription: Change in Participant BMI using standard methods of calculation
Measure: Change in Body Mass Index Time: Baseline, 1 month, 3 months, 6 months, 12 monthsDescription: 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 monthsDescription: 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 monthsChildhood 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.
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-interventionDescription: 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-interventionDescription: 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 interventionAlphabetical listing of all HPO terms. Navigate: Correlations Clinical Trials
Data processed on September 26, 2020.
An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.
Drug Reports MeSH Reports HPO Reports