View clinical trials related to Food Habits.
Filter by:In a context where meat consumption should be dramatically reduced in western countries to improve both population and planet health, the "Eat Less Meat" one-month challenge is a new behavioural intervention that aims (i) to weaken meat consumption habit and (ii) to enhance intrinsic motivation to eat less meat to trigger long-term reduction in meat consumption. The present study focusses on the quantitative evaluation of the effect of this challenge on French university student's meat consumption. Parallel two-arm randomized controlled trial with repeated measures (online questionnaires) pre-, during- and post-intervention. All the participants will be recruited to take part in the "Eat Less Meat" challenge for one month. Participants in the control group will take part in the challenge 4 months after the participants in the intervention group. Participants in both groups will complete the online questionnaires at the exact same time, i.e., pre-, during- and post-intervention measures will take place before the control group starts the challenge.
Given that healthy food-related habits are protective of both malnutrition and multiple noncommunicable diseases (including diabetes, heart disease, and cancer), and acknowledging that poor diets constitute a greater risk to mortality, it is essential to improve individuals' food-related knowledge, skills, and behaviours. Furthermore, the current public health context caused by the COVID-19 pandemic has reinforced the need for an adequate diet as a protective factor for one's global health. In the ambit of the FOODLIT-PRO: Food Literacy Project (ref. SFRH/BD/128528/2017), a digital intervention to promote food literacy - that is, food-related knowledge, competencies, and behaviours - encompassing behavioural change strategies and psychological determinants (such as intention, planning, and self-efficacy) was developed. With the online deliver of personalised evidence-based materials concerning food literacy, adult participants receive weekly challenges that promote their food-related knowledge (e.g., recognising food's origin and seasonality), competencies (e.g., as cooking and planning skills), and behaviours (e.g., tracking food intake, interpret nutritional labels). Matched with tailored behavioural change strategies (experimental group), both food literacy content and psychological aspects that relate to health behaviour are assessed weekly in order to evaluate the intervention's efficacy. Follow-ups at 3-, 6- and 9-months post intervention will be assessed.
The purpose of this study is to evaluate whether the Noom Healthy Weight Program, a digital behavior change weight loss intervention, creates a positive relationship with food, compared to a waitlist control group.
School meals have considerable potential to shape children's diets and reduce the climate impact of meals. This study applies linear programming for developing and implementing a climate friendly, nutritious and affordable school lunch menu. The new menu plan will be compared to the baseline menu during a 4-week intervention trial. The outcomes will be food waste, consumption, and pupils' satisfaction with the meals before and after introducing the new meal plan analyzed by interrupted time series analysis. Our hypothesis is that school meals can be optimized to be nutritious and more climate friendly, without negatively affecting acceptance, food waste and cost. Four primary schools in one Swedish municipality with the same menu plan for all schools will participate in the study. Their current meal supply will be recorded in the form of a food list including amount and cost of each item over a 4-week period. This list will then be optimized with linear programming to be as similar as possible to the baseline diet but with a reduction in greenhouse gas emissions of about 30%. No new foods will be introduced and none will be removed from the list. Nutritionally adequacy will be ensured by including constraints into the model. The optimized food list will be handed to the municipality's meal planner and a new menu plan will be developed based on the revised food list. Data on food waste and consumption will be collected daily during a baseline period of four weeks, and during the four-week intervention period. School lunch satisfaction will be assessed twice with an online questionnaire at baseline and during the intervention.
People around the world are consuming much more sodium than is physiologically necessary. A number of studies suggest that dietary sodium intake is related to weight gain. The aim of our study was to evaluate in a population of children and adolescents with type 1 diabetes mellitus, possible correlations between the urinary sodium excretion (UNa24h), indirect marker of sodium intake, and both duration of diabetes and BMI z-score(Body Mass Index). Moreover, we also evaluated the correlation between UNa24h and duration of diabetes according with the presence/absence of overweight/obesity.
School meals have considerable potential to shape children's diets and reduce the climate impact of meals. This study applies linear programming for developing and implementing a climate friendly, nutritious and affordable school lunch menu. The new menu plan will be compared to the baseine menu during a 4-week intervention trial. The outcomes will be food waste, consumption, and pupils' satisfaction with the meals before and after introducing the new meal plan by interrupted time series analysis. Our hypothesis is that school meals can be optimized to be nutritious and more climate friendly, without negatively affecting acceptance, food waste and cost. A number of primary schools in one Swedish municipality with the same menu plan for all schools participated in the study. Their current meal supply was recorded in the form of a food list including amount and cost of each item over a 4-week period. This list was then optimized with linear programming to be as similar as possible to the baseline diet but with a 40% reduction in greenhouse gas emissions. No new foods were introduced and none were removed from the list. Nutritionally adequacy was ensured by included constraints into the model. The optimized food list was handed to a professional meal planner and a new menu plan was developed based on the revised food list. Data on food waste and consumption was collected daily during a baseline period of four weeks, and during the four-week intervention period. School lunch satisfaction was assessed twice with an online questionnaire at baseline and during the intervention. After the end of intervention, students and meal staff were interviewed regarding their experiences with the new meals.
Binge-Eating-Disorder (BED) is a common eating disorder characterized by recurring episodes of uncontrollable eating. The underlying neural mechanisms are largely unknown. However, dysfunctional hormonal satiety signaling as well as dysfunctional neural processing of food cues are discussed as possible casual factors in the development and maintenance of this disorder. Additional research is needed to specify the exact contribution of these observations and how they interact with each other. Accordingly, the current study plans to investigate metabolic gut-brain signaling to better understand the underlying causes of abnormal eating behavior. To this end, 25 healthy normal weight control participants as well as 25 patients with BED will be recruited. The responsivity of the hypothalamus (i.e., the core region of homeostatic control) and its interaction with the mesocorticolimbic reward system will be assessed by applying a single-blind, randomized, crossover design of intravenous infusion of glucose or NaCl. This approach allows the study of gut-brain signaling to the hypothalamus and the reward system by controlling for sensory aspects of food intake (sight, smell, and taste). The interaction between the hypothalamus and the mesocorticolimbic reward system will be investigated using an effective connectivity analysis. FMRI with high spatial resolution and with an optimized protocol for the investigation of the hypothalamus and the mesocorticolimbic reward system will be employed. A better understanding of the underlying psychobiological mechanisms of BED is a fundamental requirement for the development of improved prevention and treatment strategies
Dietary assessment is a key component of the dietetic care process. Assessments usually take place within dietetic consultations using methods such as 24-hour recall and paper food diaries. This study will examine the feasibility of using an online dietary assessment tool, myfood24 as an alternative to current dietary assessment practices and explore the barriers and facilitators to its use within dietetic clinical practice. This will be a mixed method study using questionnaires and semi structures interviews with both dietitians and patients. Dietitians, and patients with a range of clinical conditions referred to an NHS Dietetic Service, will be recruited. Patients will be asked to trial the system to record their food intake prior to their dietetic appointment. This data will then be used for the dietary assessment within the consultation. Following this, patients and dietitians will be interviewed about their experiences. Quantitative data will be statistically analysed, and thematic analysis will be used to analyse qualitative data.
This study investigates the aspects related to the intake of food and nutrients, physical activity and sedentary behavior of Spanish children from 1 to 9 years. Furthermore, the investigators will know if the consumption of dairy products is associated with a better dietary pattern. Hypothesis: The habitual consumption of dairy products as part of a regular diet is associated with a better dietary pattern and a higher global diet quality.
Food & You is a large-scale citizen science research project in Switzerland. With this project, the researchers want to confirm that individuals respond differently to food, that is, that the blood sugar response (the level of sugar in the blood after a meal) varies among individuals, even after consumption of the same food or beverage. Secondly, the researchers want to develop an algorithm that will predict the individual blood sugar response and provide personalized diet recommendations.