View clinical trials related to Hunger.
Filter by:The study investigates the genetic backgrounds of extreme childhood obesity (using saliva sample) and contains short online questionnaires on family history, phenotypical characteristics and hunger behavior. It is an observational study in a predefined cohort (subjects with data in CrescNet aged 0-18 with BMI measurement(s) above the 99.5th percentile). Recruitment will initially be from CrescNet data through the cooperating pediatric and adolescent medical institutions associated with these initiative of data collection in Germany.
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.
The aim of this cross-over intervention study is to investigate the influence of hesperetin applied in combination with sucrose in comparison to an equally sweet-tasting sucrose-only solution and an isocaloric sucrose-only solution on markers of energy metabolism
There is well documented evidence that ingesting dietary carbohydrate in large amounts tends to increase postprandial glucose. In healthy populations, this is not necessarily a problem, but continuous exposure to high levels of glucose-hyperglycemia-is a defining characteristic and risk factor for type 2 diabetes mellitus. Consuming a carbohydrate-rich food as the final food in a meal sequence has been shown to significantly reduce postprandial glucose excursions in both diabetes patients and in healthy controls. The exact mechanisms behind this phenomenon are not well understood, but one proposed course is simply that the vegetable and protein already being digested slows the rate of glucose rise. Despite the findings, little-to-no research has examined how manipulating the order of foods in a meal impacts subsequent exercise responses. In this experimental crossover study, each participant will undergo two acute feeding conditions (carbohydrate-rich foods first vs. last in a meal), which will be followed by exercise 60 minutes later. We will observe the effects of meal order on postprandial glucose, substrate/fuel utilization, and subjective perceptions at rest and during 30 minutes of exercise.
The goal of this study is to compare metabolic response to variations in dietary glycemic index in healthy participants. The main questions it aims to answer are: • What are the metabolic hunger and food intake responses to different levels of glycemic index on the background of otherwise constant macronutrient composition? Participants will come to the lab after an overnight fast and body composition will be tested by bio-impedance analysis and magnetic resonance imaging. They will then be randomized to eat one of three standardized breakfasts varying in the glycemic index. Circulating glucose levels will be monitored using a continuous glucose monitor and blood samples will be collected to measure metabolic and hormone factors in the serum. Participants will also rate their hunger at 0, 30, 60, 120, 180, 240 and 300 minutes. After 5 hours they will eat a free choice meal from a standardized selection buffet (test meal).
Food insecurity and low diet quality are persistent problems linked with chronic disease and poor health among limited-resource children and adults using Supplemental Nutrition Assistance Program (SNAP). We have shown nutrition education via adult-focused, direct SNAP-Education (SNAP-Ed) improved household food security by 25% but not adult dietary quality among SNAP-eligible households using a randomized, controlled, longitudinal SNAP-Ed intervention in Indiana. Households experiencing food insecurity often reserve food considered "healthful" for children, so child dietary quality improvement may precede that observed among adults when household food security improves. This study will determine the effect of adult-focused direct SNAP-Ed on child dietary quality and household food security using a longitudinal randomized, controlled SNAP-Ed intervention. Assessment will include repeated 24-hour dietary recalls to determine usual intake, the U.S. Household Food Security Survey Module, and behavior data from before and after the 10-week "intervention period," and 1 year later, after which the control group will receive the intervention. Low-income participants (n=275) from Indiana will be recruited following SNAP-Ed protocol. Results of the study will inform the creation of supplementary on-demand SNAP-Ed educational material focused on improving healthful dietary intake for children and adults in situations of food insecurity in households with children. Education on modeling healthy attitudes and behaviors, planning and preparing family meals, and dietary shortfalls as informed by the results and previous evidence will be included and evaluated. The study aligns with the goals of USDA to increase food security and this RFP to improve healthful behaviors, food quality and nutrition.
About 14 healthy participants, consume a standardized breakfast combined with either using regular or nicotine-free moist snuff. The metabolic rate is measured every hour for four hours on each occasion starting in the morning. Participants are also randomized to get red wine or non-alcoholic red wine to the meal.
The study will compare the postprandial responses to a test meal between subjects with type 1 diabetes and healthy control subjects, in terms of gut hormone levels, meal induced thermogenesis, hunger and satiety perception, as well as futher metabolic parameters.
Aquatic cycling is becoming more popular as it appears to be more suitable for men and women even with poor physical activity level. Commercial tagline highlight beneficial effect of this activity on weight management. However there are poor information concerning the energy response induced by this activity. The aim of this project is to investigate effect of water temperature on energetic response (energy expenditure and food intake) of cycling exercise in water in normal weight and overweight premenopausal women.
Previous research has shown that nutritional knowledge is a key indicator in healthy eating choices, but real-life examinations of the associations between both nutritional knowledge and state of hunger and satiety on individuals' food choice of healthy vs unhealthy snacks is limited. The present study aims to investigate whether the presence of nutritional information on food labels will affect participants' food choice when hungry and when satiated.