Impact of Bariatric Surgery on Cancer Incidence in Severely Obese Adults
The goal of this project is to estimate the impact of bariatric surgery versus routine non-surgical care on the incidence of cancer (all types) in all severely obese patients (men and women).
Kaiser Permanente & Strategic Partners Patient Outcomes Research To Advance Learning, (PCORI/PORTAL Network)
The PORTAL network propose to create a cohort of adults who are overweight or obese, including those who have pre-diabetes or diabetes. The cohort development activity will demonstrate that the PORTAL network is able to meet the 10 criteria for a clinical data research network specified by PCORI.
Prenatal Antibiotic Use and Body Weight in Children
The goal of this study is to examine the potential relationship between antibiotic use during pregnancy and pediatric weight problems. Particular focus is given to infants exposed to intrapartum Group B streptococcus prophylaxis and its impact on a child’s body weight.
Randomized Trial of Exercise Promotion In Primary Care (EPPC)
To determine the feasibility of a primary care based, telephone counseling physical activity behavioral intervention for diabetics and prediabetics.
The association between Cesarean Delivery, Labor and Body Weight in Children.
This project is part of a series of CDC studies to better understand the association between birth factors such as delivery mode labor or rupture of membrane, and exposure to intrapartum antibiotics and childhood weight gain.
The Role of Adipokines in Glucose Regulation and Metabolic Decline
This project measured a large panel of pro- and anti-inflammatory adipokines in existing blood samples collected from BetaGene I and II study participants, combine these data with genome-wide genetic variation, dietary and physical activity information, and elucidate the pathophysiological pathways that underlie metabolic decline leading to type 2 diabetes.
Using Computational Approaches to Optimize Asthma Care Management
This project aims to improve the accuracy of computationally identifying high-risk asthma patients, it’s assess potential impact on outcomes and to provide automated prediction result explanations for care management.