View clinical trials related to Diet Habit.
Filter by:Investigating glucose response to Mediterranean and regular diets in healthy children in order to develop specific pediatric machine-learning for predicting the personalized glucose response to food for individual children. The prediction will be based on multiple measurements, including blood tests, personal lifestyle and gut microbiome. This will allow investigators to design personalized Mediterranean machine-learning-based diets which may potentially reduce the burden of disease in adulthood as well as the burden of obesity in the pediatric age.
The purpose of this study is to learn if a new whole-person lifestyle program improves the health of low-income mothers.
The current study will test the impact of a 3-session obesity prevention program targeting healthy introduction of solid foods in infancy on growth trajectories, appetite regulation, and diet. The investigators will also test the feasibility and family satisfaction with the treatment. Healthy infants with normal and elevated weight-for-length will be enrolled in the study at 3 months of age and complete an initial study visit to assess baseline anthropometrics,demographics, parental feeding practices and beliefs, and infant appetite. Infants will than be randomly assigned to either the treatment condition (n = 20) or control condition (n = 20). Infants in the control condition will receive no intervention or further contact with the study team besides for completion of a final study assessment visit when the child is 9 months old. Infants in the treatment condition will receive a 3 session intervention targeting healthy introduction of solid foods, with study visits occurring when the child is 4 months, 6 months, and 9 months old. All families will complete a final study visit to complete post-treatment period measurements, which will include infant anthropometrics and parent-report of infant appetite, infant diet, and parental feeding practices and beliefs. Outcomes include: weight-for-length percentile, infant satiety responsiveness, infant food responsiveness, and infant fruit and vegetable consumption. Family satisfaction and treatment attendance will also be assessed.
The hypothesis formulated is that 200 g of sardine on a weekly basis will have a favourable impact avoiding the natural development of the pathology due to changes in the biochemical profile, the anthropometrics, inflammatory markers, changes in gut microbiota populations, also in transcriptomics and metabolomics.
The Habitual Diet and Avocado Trial will evaluate the effects of providing one avocado per day for recommended consumption over a 6 month period in a cohort of approximately 1000 free-living participants with increased waist circumference in comparison with a control group that will maintain their habitual diets. Participants will be recruited and screened at 4 clinics in 4 locations: Pennsylvania State University; Loma Linda University; UCLA, and Tufts University (250 per site).
The aim of this study is to examine the correlational and intervention effects of egg consumption on macular carotenoids, cognition, and achievement during childhood. Initially, this will be done with correlational examination of egg consumption and macular carotenoids. Individuals with low carotenoid status will be invited to participant in a month-long egg-based dietary intervention aimed at improving carotenoid status.
Participants will be chosen through an initial sensory test to find high and low-perceivers of astringency. Selected participants will drink a chocolate milk or milk substitute beverage for one week each with washout weeks in between. At the end of each week participants will taste and rate multiple beverages for their astringency and other sensory properties. Participants will provide saliva samples weekly for proteomic analysis and (potentially) analysis of polyphenols. Participants will also be asked to provide a 24 hour dietary recall once per week. Data will be analyzed to determine if there is a relationship between polyphenol exposure, astringency ratings, and salivary protein composition.
The foods we eat - our diet - can affect whether we develop diseases during our lives, such as diabetes or heart disease. This is because the amount and types of foods we eat can affect our weight, and because different foods are metabolised (processed) by the body in different ways. Scientists have also found that the bacteria in our guts (the gut microbiome) affects our metabolism, weight and health and that, together with a person's diet and metabolism, could be used to predict appetite and how meals affect levels of sugar (glucose) and fats (lipids) found in blood after eating. If blood sugar and fat are too high too often, there's a greater chance of developing diseases such as diabetes. The gut microbiome is different in different people. Only 10-20% of the types of bacteria found in our guts are found in everyone. This might mean that the best diet to prevent disease needs matching to a person's gut microbiome and it might be possible to find personalised foods or diets that will help reduce the chance of developing chronic disease as well as metabolic syndrome. The study investigators are recruiting volunteers aged 18 years or over from the TwinsUK cohort to take part in a study that aims to answer the questions above. The participants will need to come in for a clinical visit where they will give blood, stool, saliva and urine samples. The participants will also be given a standardised breakfast and lunch and fitted with a glucose monitor (Abbott Freestyle Libre-CE marked) to monitor their blood sugar levels. After the visit, the participants will be asked to eat standardised meals at home for breakfast for a further 12 days. Participants will also be required to prick their fingers at regular intervals to collect small amounts of blood, and to record constantly their appetite, food, physical activity and sleep using apps and wearable devices.
During the last update of the French FBDG, a survey with a representative sample of dieticians investigated 1) how to communicate portion sizes and 2) the most relevant time frame when delivering dietary guidelines. The objective was to determine how to express portion sizes and time frame for Food Based Dietary Guidelines (FBDG) using the feedback of dietitians. Data were obtained from an internet-based survey of 441 French dieticians (collected from November 24, 2013 through January 2, 2014).
Many provinces in Indonesia have some well known traditional foods that are widely consumed, but it remains unknown whether traditional ethnic dietary patterns can confirm healthy diets. High quality diet is associated with reduced risk of metabolic diseases and modulated gut microbiota. Moreover, the relationship between dietary quality and microbiota, a potential mediator of metabolic disease, has not been studied.