Fiber-rich Foods to Treat Obesity and Prevent Colon Cancer
Colon CancerObesityThe study will target a population at high risk for colorectal cancer, overweight and obese participants with a history of a colon polyp in the past 3 years to test whether a high-legume, high-fiber diet will simultaneously increase weight loss and suppress intestinal biomarkers of cancer risk compared to a control diet (healthy American). In addition, it will explore potential mechanisms through which the high-legume intervention diet facilitates weight loss and intestinal health.
Log2Lose: Incenting Weight Loss and Dietary Self-monitoring in Real-time to Improve Weight Management...
ObesityThis study involves an evaluation of whether providing small incentives weekly for dietary self-monitoring and/or weight loss improves short- and long-term weight loss. Participants can expect to be on study for 18 months.
Veterans Achieving Weight Loss and Optimizing Resilience-Using Protein
PrediabetesObesityDiabetes is a major health concern in obese older Veterans, especially in those who are African American. The negative impact of diabetes on muscle and physical function contributes to metabolic as well as physical decline and is under-studied. This randomized controlled trial compares a higher-protein, weight loss regimen previously shown to improve physical function to an Recommended Dietary Allowance (RDA) protein intervention in obese older male Veterans with pre-diabetes and functional limitations. Equal numbers of white and black male Veterans will be studied, filling gaps in the investigators' knowledge of differential responses by race as well as obesity interventions for men in general. The primary outcome is functional performance by Short Physical Performance Battery and secondary measures include muscle quality, insulin sensitivity, lean body mass, physical activity, recent falls and fear of falling, instrumental activities of daily living, and quality of life measured at 0, 3 and 6 months. The goal of this research is to accelerate functional recovery and enhance independence in obese male Veterans, which is strongly aligned with the RR&D mission to "maximize the physical and social autonomy of Veterans".
Maternal and Fetal Outcome With Metformin Therapy for Obese Pregnant Women .
Metformin for Obese Pregnant WomenTo evaluate the role of metformin in pregnant women with obesity (BMI above 30) , on maternal and infant outcome.
Obesity Surgery and Kidney Transplant for Patients With Obesity and Renal Failure
Severe ObesityRenal FailureGastric Bypass followed by renal transplantation is superior to medical management followed by renal transplant for patients with severe obesity and renal failure.
Impact of Diet and Exercise Activity on Pregnancy Outcomes
ObesityGestational Diabetes1 moreThe general goal of the present study is to assess the impact of a community-based exercise and dietary intervention in pregnant women living in urban areas during and after their pregnancy on the reduction of the risks of both diabetes and obesity in mothers and their offspring. We hypothesize that a community-based lifestyle intervention program during and after gestation may improve pregnancy outcomes in terms of reducing the risk of developing obesity or type 2 DM in mothers and their children.
Study of Brain, Reward, and Kids' Eating
ObesityChildhood1 moreChildren from rural communities are at greater risk for obesity than children from more urban communities. However, some children are resilient to obesity despite greater exposure to obesogenic influences in rural communities (e.g., fewer community-level physical activity or healthy eating resources). Identifying factors that promote this resiliency could inform obesity prevention. Eating habits are learned through reinforcement (e.g., hedonic, familial environment), the process through which environmental food cues become valued and influence behavior. Therefore, understanding individual differences in reinforcement learning is essential to uncovering the causes of obesity. Preclinical models have identified two reinforcement learning phenotypes that may have translational importance for understanding excess consumption in humans: 1) goal-tracking-environmental cues have predictive value; and 2) sign-tracking-environmental cues have predictive and hedonic value (i.e., incentive salience). Sign-tracking is associated with poorer attentional control, greater impulsivity, and lower prefrontal cortex (PFC) engagement in response to reward cues. This parallels neurocognitive deficits observed in pediatric obesity (i.e., worse impulsivity, lower PFC food cue reactivity). The proposed research aims to determine if reinforcement learning phenotype (i.e., sign- and goal-tracking) is 1) associated with adiposity due to its influence on neural food cue reactivity and 2) associated with reward-driven overconsumption and meal intake due to its influence on eating behaviors. The investigators hypothesize that goal-tracking will promote resiliency to obesity due to: 1) reduced attribution of incentive salience and greater PFC engagement to food cues; and 2) reduced reward-driven overconsumption. Finally, the investigators hypothesize reinforcement learning phenotype will be associated due to its influence on eating behaviors associated with overconsumption (e.g., larger bites, faster bite rat and eating sped). To test this hypothesis, the investigators will enroll 76, 8-9-year-old children, half with healthy weight and half with obesity based on Centers for Disease Control definitions. Methods will include computer tasks to assess reinforcement learning, dual x-ray absorptiometry to assess adiposity, and neural food cue reactivity from functional near-infrared spectroscopy (fNIRS).
Metabolic Effects of Sleep Extension in People With Obesity
Insulin ResistanceObesityThis study is designed to determine the impact of extending sleep duration on glucose metabolism in people with obesity. Half of the participants will be instructed to increase their time-in-bed to 8 hours (sleep extension) while the other half will be be instructed to maintain their current sleep habits.
Growth Hormone Releasing Hormone Analog to Improve Nonalcoholic Fatty Liver Disease and Associated...
Non-Alcoholic Fatty Liver DiseaseObesity4 moreNonalcoholic fatty liver disease (NAFLD) is common in individuals with obesity and is a significant threat to public health, because it can lead to impaired liver function and liver failure. Growth hormone is a hormone produced in the pituitary gland that helps regulate metabolism and growth. Individuals with obesity, on average, secrete less growth hormone than individuals without obesity. There are data to suggest that growth hormone may help to reduce the amount of fat in the liver, and may also reduce inflammation in the liver, both of which would be helpful to individuals with NAFLD. The purpose of this study is to investigate whether treatment with a drug called tesamorelin, which is a growth hormone releasing hormone analogue, will decrease liver fat and improve liver inflammation and scarring in obese individuals with NAFLD.
Development of a Telehealth Obesity Intervention for Patients With MS: Modifying Diet and Exercise...
Multiple SclerosisObesityWe will tailor a telehealth obesity intervention for obese patients with MS (figure 2). Half of the patients will be randomly assigned to 24 weekly hour-long group weight loss sessions and 6 monthly individual sessions; half will be assigned to a brief education/Treatment as Usual (TAU) control condition. Participants assigned to the control condition will also receive the active treatment 6 months following their enrollment. As such, we will have feasibility, acceptability, and outcome data for all patients who enroll and complete the intervention. During outpatient recruitment, clinicians will ask obese patients (WHtR >.57, BMI >29) if they would be willing to be contacted about a study investigating a weight loss intervention for patients with MS. Patients who express interest and respond to advertisements will be screened by telephone and via review of medical records. Patients who meet initial eligibility criteria will be invited for a baseline evaluation where they will be formally consented, complete questionnaires and behavioral tasks, and undergo a standardized physical exam. They will be monitored using actigraphy for 10 days. They will then be randomized to the group telehealth obesity intervention or TAU. At 6 months, all participants will undergo a second in-person follow-up assessment and TAU participants will begin the telehealth intervention. At 12 months, participants will undergo a third in-person assessment, providing treatment outcome data for all study participants and long-term weight maintenance data for patients initially assigned to the telehealth obesity intervention. At 18 months, participants initially assigned to the TAU control condition will undergo a 4th assessment, providing weight maintenance data for all enrolled participants.