View clinical trials related to Craving.
Filter by:Emerging evidence suggests that following a 'carbohydrate-last meal pattern', wherein foods rich in protein, fat, fiber, and/or polyphenols are consumed before sources of simple carbohydrate (CHO) in a meal, results in reduced postprandial glycaemic responses than the reverse food order or a co-ingestion pattern. This effect has been observed across the spectrum of glucose tolerance, from patients with diabetes to individuals with normal glucose tolerance (Kuwata et al., 2016; Nishino et al., 2018; Lu et al., 2019; Sun et al., 2020). Furthermore, reduced glucose excursions have been linked to decreased subsequent hunger and energy intake (Lu et al., 2019; Wyatt et al., 2021). However, to date, no studies on food intake sequence have targeted athletes, despite their increased CHO demands (Thomas et al., 2016) which could expose them to repeated episodes of hyperglycaemia and high glycaemic variability, known to increase the risk of adverse cardiovascular outcomes and all-cause mortality (Loader et al., 2015; Cavero-Redondo et al., 2017; Faerch et al., 2018). Additionally, athletes often face pressure to meet body composition standards and may benefit from strategies that enhance satiety and craving control. Finally, there is reason to believe that better glycaemic control could lead to improved performance, given that enhancements in endurance activities have been observed with a low-glycemic-index diet compared to a high-glycemic-index diet (Heung-Sang Wong et al., 2017). Therefore, this randomised crossover trial is part of a wider project which seeks to explore the impact of food intake sequence on metabolic health and performance in athletes. Specifically, this trial aims to investigate the acute, postprandial metabolic and appetite responses to consuming an identical meal in two intake sequences (CHO-last versus CHO-first) in athletes, while in the resting state.
In this research project, the aim is to discover the role specific brain networks play in the relationship between stress reactions and the desire for alcohol and alcohol consumption. To investigate this question, various brain imaging methods as well as cognitive tasks are combined. Various questionnaires are sampled and brain scans are conducted. Individuals interested in participating in the study have to fulfill certain criteria... - no serious medical or mental health diagnosis - problematic alcohol drinking habits - interested in improving drinking habits ...and undergo various non-invasive procedures - filling out several questionnaires concerning personality and habits - undergoing a mental performance task while being in a brain scanner (MRI) - attempting to regulate their own brain activity while lying in the MRI scanner - filling out an electronic diary for 6 weeks - concerning daily mood, stress, and alcohol habits Participants will be randomly allocated to either one of 2 experimental groups. Both groups undergo the same tasks, receive the same instructions and only differ regarding some aspects of the brain self-regulation task .
The objective of this study is to evaluate the effectiveness of the addition of nursing follow-up and the PHOENIX application, a personalized and self-adaptive Smartphone application, on the management of craving in patients with addictive disorders followed on an outpatient basis.
Pregnancy is a time of heightened risk for disordered eating behaviors, which have been linked to adverse health outcomes in gestation, delivery, and the postpartum. These adverse outcomes may at least in part be mediated by greater risk of deviation from recommended gestational weight gain trajectories, especially in those engaged in binge and loss of control eating. This study will explore the efficacy of a single-session, self-guided online acceptance-based intervention targeting food cravings as powerful and modifiable predictors of binge and LOC eating in pregnancy.
The goal of this observational study is to investigate longitudinal stress response profiles and adaptive versus non-adaptive stress responses in alcohol use disorder. The main questions the projects aims to answer are: What are the neurobehavioral underpinnings of adaptive stress responses and resilience to repeated stress exposure with regards to: - alcohol craving? - alcohol use? - their modulation by prior stress exposure, social interactions, coping strategies and individual health behavior? Participants will: - be exposed to an established experimental stress-induction protocol, the Trier Social Stress Test - be exposed to their favorite drink in a bar lab environment - be assessed using fMRI to determine their neural alcohol cue reactivity, response inhibition, and emotion processing - conduct an ambulatory phase to assess stressors, alcohol craving, substance use and details on social interactions, health behavior and coping strategies using ecological momentary assessment tools.
Gut health has been linked with improvement in mental health but no research has been done to evaluate if improving gut health can have an effect on alcohol and substance cravings. This pilot study is to evaluate if any decrease in cravings can be found with probiotics/prebiotics by improving gut health. Participants will take a pre-survey to evaluate their cravings. Participants will then be started on a regimen of probiotic and prebiotic with a pickle daily for 30 days to improve gut health. Then participants will take the same survey to evaluate if there has been any decrease in cravings.
Background: Negative emotional states can affect a person s behavior as they make decisions. For example, hunger may make people more impatient; they may then make riskier choices. Other negative emotional states that can change behavior include stress, pain, and sadness. By learning more about how emotions affect thinking and behavior in healthy people, researchers hope to better understand how to identify and treat people with mental disorders. Objective: To learn how negative emotions affect the brain and decision-making behavior. Eligibility: Healthy people aged 18 to 55 years. Design: Participants will have 3 clinic visits in 3 weeks. Participants will fill out questionnaires. They will be asked about their personal history, their personality, and state of mind. For 2 visits, participants will be assigned to different groups. Each group will experience 3 type of emotional stressor: Some participants will watch a video. Some will have to do arithmetic problems. Some will have heat applied to an arm or leg. Some will experience cold by immersing their hand in ice water. For a snack craving test, some will be tempted by food after a 4-hour fast. During these tests, participants will have sensors attached to their bodies. They will be videotaped. Saliva samples will be collected. After the stressors, participants will do tasks on a computer. They will need to make choices. Some participants will perform these decision-making tasks while lying in a brain scanner for functional magnetic resonance imaging. The brain scan involves lying on a table that slides into a cylinder that takes images of the brain.
The study aims to apply the intermittent theta burst transcranial magnetic stimulation (iTBS) treatment and evaluate the effect in improving craving, affective symptoms, and cognitive function for those participants in the community with amphetamine use. An electroencephalography and blood biomarkers will also be examined to explore the possible mechanisms.
The purpose of this study was to compare the impact of 700 mg daily ashwagandha (Withania Somnifera) in healthy college students on sleep, stress and food cravings to healthy college students taking placebo.
The proposed clinical trial would evaluate the use of smartphone applications ("apps", which have well-established efficacy in reducing cigarette and alcohol use) to prevent relapse among patients receiving medication-assisted treatment for opioid use disorder. In addition to standard app-based self-monitoring of drug use and personalized feedback, project innovation is enhanced by the proposed use of location-tracking technology for targeted, personalized intervention when participants enter self-identified areas of high risk for relapse. Furthermore, the proposed sub-study would use longitudinal functional neuroimaging to elucidate the brain-cognition relationships underlying individual differences in treatment outcomes, offering broad significance for understanding and enhancing the efficacy of this and other app-based interventions.