[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"cardiometabolic-risk\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:cardiometabolic-risk":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,43],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":20,"enrollmentInfo":21,"targetDuration":4,"studyType":24,"phases":25,"briefSummary":27,"conditions":28,"keywords":4,"overallStatus":30,"whyStopped":4,"lastUpdateSubmitDate":31,"lastUpdatePostDateStruct":32,"startDateStruct":35,"completionDateStruct":37,"leadSponsor":39,"locationsCount":42},"100557493","impact-of-ultra-processed-foods-on-cardiometabolic-risk-factors-100557493",false,"NCT06538831","Impact of Ultra-processed Foods on Cardiometabolic Risk Factors","A 2x2 Factorial Randomized Controlled Trial to Elucidate How Ultra-processed Foods Modulate Cardiometabolic Risk","NOVA","Inclusion Criteria:\n\n* Body mass index (BMI):18 to 35 kg\u002Fm2\n* Stable weight over the last 3 months (variation of less than 5 kg)\n* LDL-cholesterol \\\u003C 5.0 mmol\u002FL\n* HbA1c \\\u003C 6.5%\n* Office blood pressure \\\u003C150\u002F90 mmHg\n* Non-smokers or smokers of less than 10 cigarettes a day\n\nExclusion Criteria:\n\n* Pregnant or breast-feeding women\n* Alcohol consumption of more than 7 drinks per week\n* Women: contraceptives for less than 3 months or hormone therapy for less than 6 months\n* Medication to treat hypercholesterolemia, diabetes or hypertension\n* Diagnosis of cardiovascular disease, diabetes, hypertension, cancer\n* Food allergies or aversions to any of the foods on the experimental menus\n* Being on a diet or following a special diet\n* Daytime MAPA blood pressure \\>150\u002F90",true,"ALL","18 Years","75 Years",{"count":22,"type":23},120,"ESTIMATED","INTERVENTIONAL",[26],"NA","The goal of this clinical trial is to examine in a 2x2 factorial RCT what feature(s) of ultra-processed foods (UPFs) contribute to cardiometabolic risk in men and women. The project's hypotheses are :\n\n1. that the nutrient composition of UPFs (high SFA, free sugar and sodium) per se has deleterious impacts on cardiometabolic risk factors;\n2. that the industrial techniques and processes of UPFs per se do not.\n\nParticipants will be randomly assigned to one of 4 groups consistent with the 2x2 factorial design of the study: 1- the nutrient composition of foods (low vs. high in SFA, free sugar and sodium) and 2- the degree of industrial techniques and food processing (little to no vs.important amounts of UPFs). All foods will be provided to participants under isocaloric conditions during the 6-week dietary intervention. Participants will have to consume one of the 4 experimental diets for 6 weeks.",[29],"Cardiometabolic Risk","RECRUITING","2024-10-15",{"date":33,"type":34},"2024-10-17","ACTUAL",{"date":36,"type":34},"2024-09-25",{"date":38,"type":23},"2028-08-31",{"name":40,"class":41},"Laval University","OTHER",1,{"id":44,"slug":45,"hasResults":11,"nctId":46,"briefTitle":47,"officialTitle":48,"acronym":49,"eligibilityCriteria":50,"healthyVolunteers":17,"sex":51,"minAge":19,"maxAge":52,"enrollmentInfo":53,"targetDuration":4,"studyType":55,"phases":4,"briefSummary":56,"conditions":57,"keywords":61,"overallStatus":70,"whyStopped":4,"lastUpdateSubmitDate":71,"lastUpdatePostDateStruct":72,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":42},"100504479","the-risc-registry--risk-informed-screening-registry-100504479","NCT05848856","The RISC Registry--Risk Informed Screening Registry","The Risk Informed Screening Registry (The RISC Registry)","RISC","Inclusion Criteria:\n\n* Female (Gender assigned at birth)\n* Unaffected women (by breast cancer, diabetes or cardiovascular disease)\n* Females who have been diagnosed with breast cancer, diabetes or cardiovascular disease\n* Females who are presenting for cancer, metabolic health or cardiovascular screening\n* Females presenting for mammography or other breast cancer screening procedures\n* Females presenting for cholesterol, other blood tests aimed at metabolic and cardiovascular health screening, ECG's, EKG's or other noninvasive scans for the presence of or risk of heart disease\n* Ages 18+\n* Willing to sign a study consent form\n* Willing to participate in PRO surveys\n* Willing to use technology to participate in the study procedures, if and as needed\n* Pregnant women may be included","FEMALE","100 Years",{"count":54,"type":23},10000,"OBSERVATIONAL","Chronic diseases such as heart disease, cancer, and diabetes are the leading causes of death and disability in the United States. Six in ten adults have one chronic disease; 4 in 10 have two or more. These are also leading drivers of the nation's $4.1 trillion in annual health care costs.\n\nCardiovascular disease is the number one cause of death for men and women, cancer is the second largest, with breast cancer being the second largest cause of death in women. Diabetes is the 8th highest cause of death for both men and women.\n\nRoutine screening, a focus on prevention, early detection, and patient engagement with proposed care plans, effective surveillance and follow up are some of the most effective ways to reduce the burden of chronic diseases across an individual's lifetime and at the population level.\n\nEstimating dollar costs associated with non-compliance with screening and health management recommendations is complex and variable depending on the specific context, disease, and condition. But there is much evidence to indicate that a significant amount of these annual costs can be mitigated if compliance with health management recommendations increases, and health problems are prevented or detected early.\n\nAccess to screening and noncompliance with health management recommendations impact the entire population, but more disparities exist in racial and ethnic minorities and in the historically underserved for cancer, obesity, diabetes and cardiovascular disease.\n\nThe overall cost of these disparities in the U.S. has been estimated at around 1.24 trillion U.S. Dollars.\n\nThe RISC Registry seeks to pursue the intersection of breast cancer, metabolic, and cardiovascular risk in women and study the application of individualized multi-condition risk assessments, risk-informed or personalized screening, prevention and follow up care approaches in a broad cross section of patients. It pursues the hypothesis that these approaches accompanied by population appropriate methods of clinician and patient engagement may increase understanding and compliance with breast cancer, obesity, and metabolic\u002Fcardiovascular\u002Fcardiometabolic risk screening, surveillance and follow up recommendations by empowering women to make healthier choices.\n\nIn doing so, these methods may identify ways to address disparities in screening and patient care and ultimately promote early detection or even reversal of adverse health conditions, improve overall personal health, and reduce overall health care costs.\n\nThe primary focus is cancer, cardiovascular and metabolic health screening with a focus on utilization of Precision Screening. (Precision Screening attempts to separate those who will benefit from screening from those that may not, through use of information on disease risk.)\n\nThe study will start by focusing on women and risk for these diseases and health conditions.",[58,59,29,60],"Breast Cancer Risk","Cardiovascular Disease Risk","Diabetes",[62,60,63,64,65,66,67,68,69],"Breast cancer","Obesity","Coronary artery disease","Risk","Prevention","Genetics","Social drivers of health","Personal risk adjusted screening plans","NOT_YET_RECRUITING","2024-07-09",{"date":73,"type":34},"2024-07-11",{"date":75,"type":23},"2024-09-01",{"date":77,"type":23},"2035-09-01",{"name":79,"class":41},"Precision Health Equity Initiative"]