5 Clinical Trials for Various Conditions
In spite of long-standing hypothesis relating diet and physical activity to several cancers, diet and physical activity-cancer associations have been modest at best and often inconsistent in epidemiologic studies. Investigators around the world have become increasingly concerned that error in the measurement of both diet and physical activity is compromising our ability to detect these important but modest associations. Most commonly used diet and physical activity assessment methods have been based on a relatively small set of questions (e.g. 124 food items consumed or 5-10 physical activities in the past 12 months). Recent developments in computer technology provide an opportunity to use internet-based instruments to assess an individual s diet and physical activity more accurately and cost effectively.
The purpose of this study is to evaluate the influence of dietary restraint, social desirability, and food type on the accuracy of dietary intake reported during a 24-hour recall.
Older adults are at risk for developing sarcopenia, or age-related muscle loss, which increased the risk of disabilities, falls, and loss of independence. Many older adults do not consume enough protein each day to maintain their muscle mass and this study aims to investigate if consumption daily egg white protein supplement can help maintain muscle mass and functionality in community-dwelling older adults. Food insecure older adults that attend congregate nutrition sites will be targeted.
Information about Americans food choices and opinions helps researchers and law makers to develop policies and programs to promote health. For this reason, it is important to be able to collect good quality information about how people think about food. This project will compare different ways of collecting information about food from adults.
Assessment of dietary intake in large, free-living populations is inherently challenging due to the complex nature of human diet. Advancements in traditional methods of dietary assessment (i.e., web-based dietary recalls or records) have aimed at improving data accuracy while reducing participant burden. Further utilizing food recognition technologies to capture real-time food intake may aid in overcoming limitations of existing methods. Keenoa, an artificial intelligence-enhanced, image-assisted tool, is a newly designed mobile application that may facilitate collection of dietary data. Primarily, the investigators will assess acceptability and usability of Keenoa compared with the traditional, web-based Automatic Self-Administered 24-Hour (ASA24) Dietary Assessment Tool in the Framingham Heart Study Third Generation-based cohorts at examination 4. The investigators will also determine the proportion of participants who complete all three days of dietary assessment, either through Keenoa or ASA24. Further, the investigators will relate dietary determinants of glycemic variability (e.g., percent carbohydrate, fiber intake, etc.), obtained from each dietary assessment tool, to the continuous glucose monitor (CGM)-derived outcomes. With a randomized block design, this study will take place as part of the Framingham Heart Study (FHS) glucose study (R01 DK129305). Currently participants from the Third Generation-based cohorts are asked at their fourth examination to wear Dexcom G6 Pro continuous glucose monitor on either their arm or abdomen for a duration of at least 4 days. During this time, participants are asked to complete 3 consecutive days of dietary record through ASA24. For this trial, the investigators will randomize the dietary assessment tool weekly between ASA24 and Keenoa, therefore, depending on the week of administration, participants will be randomized to either a 3 days dietary record via ASA24 or a 3-day dietary record through Keenoa. This trial will last a total of 6 weeks.