[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"trial:NCT07714096":3,"trial-entities:NCT07714096":186,"trial-summary:NCT07714096":189},{"id":4,"nct_id":4,"org_study_id":5,"brief_title":6,"official_title":7,"overall_status":8,"completion_date":9,"status_verified_date":10,"last_update_date":11,"start_date":12,"sponsor_name":13,"lead_sponsor_class":14,"has_dmc":15,"brief_summary":16,"detailed_description":17,"conditions":18,"keywords":20,"study_type":29,"primary_purpose":30,"phases":31,"enrollment_info":33,"interventions":36,"primary_outcomes":47,"secondary_outcomes":52,"sex":116,"minimum_age":117,"maximum_age":118,"healthy_volunteers":15,"eligibility_criteria":119,"std_ages":157,"locations":160,"central_contacts":176,"overall_officials":183,"references":184,"see_also_links":185},"NCT07714096","PB","Cardiometabolic & Cognitive Effects of Peanut Butter in Prediabetes","Peanut Butter Glycemic Control, Cognition and Cardiovascular Health","NOT_YET_RECRUITING","2028-10-31","2026-07","2026-07-20","2027-01-18","Penn State University","OTHER",false,"The purpose of this study is to look at the effect of consuming peanut butter at breakfast on blood sugar control, cognitive function, and heart disease risk factors in middle-aged adults with prediabetes.","This is a 2-period, randomized, crossover study. In random sequence order participants will undergo each of the following conditions for 12 weeks with a ≥ 8-week washout between the two periods: 1) provision of 43 g\u002Fday (1.5 oz\u002Fday) of peanut butter with instructions to consume it as part of breakfast (or the first meal of the day); 2) instructions to continue usual intake with matched study contact and resource provision. Testing will be conducted at the beginning and end of each period.",[19],"Prediabetes",[21,22,23,24,25,26,27,28],"diet","nutrition","peanut butter","cognition","heart disease","glycemic control","cardiovascular disease","diabetes","INTERVENTIONAL","PREVENTION",[32],"NA",{"count":34,"type":35},56,"ESTIMATED",[37,43],{"type":14,"name":38,"description":39,"armGroupLabels":40},"Peanut butter","Intake of 43 g\u002Fday of peanut butter as part of breakfast (or the first meal of the day)",[41,42],"Peanut Butter-Usual Diet","Usual Diet-Peanut Butter",{"type":14,"name":44,"description":45,"armGroupLabels":46},"Usual diet","Continue intake of usual diet.",[41,42],[48],{"measure":49,"description":50,"timeFrame":51},"Change in HbA1c","HbA1c will be assessed at the beginning and end of each 12-week period and expressed as percentage. The change in HbA1c will be calculated as the post-condition value minus the pre-condition value and expressed as percentage point change.","12 weeks",[53,56,59,62,65,68,71,74,77,80,83,86,89,92,95,98,101,104,107,110,113],{"measure":54,"description":55,"timeFrame":51},"Change in fasting glucose","Change in fasting plasma glucose expressed as mg\u002FdL. Change in glucose will be calculated as the mean of the post-condition day 1 and day 2 testing values minus the mean of the pre-condition day 1 and day 2 testing values.",{"measure":57,"description":58,"timeFrame":51},"Change in fasting insulin","Change in fasting serum insulin expressed as micro IU\u002FmL. Change in insulin will be calculated as the mean of the post-condition day 1 and day 2 testing values minus the mean of the pre-condition day 1 and day 2 testing values.",{"measure":60,"description":61,"timeFrame":51},"Mean glucose","Mean glucose assessed by a continuous glucose monitor (CGM) expressed as mg\u002FdL. The between-condition difference in mean glucose will be evaluated by comparing the mean glucose calculated from 7 days of CGM wear at the end of each study period.",{"measure":63,"description":64,"timeFrame":51},"Mean glucose time in range","Mean glucose time in range (70-140 mg\u002FdL) assessed by a continuous glucose monitor (CGM) expressed as minutes per day. The between-condition difference in mean glucose time in range will be evaluated by comparing the mean glucose time in range from 7 days of CGM wear at the end of each study period.",{"measure":66,"description":67,"timeFrame":51},"Glycemic variability","Glycemic variability assessed by a continuous glucose monitor (CGM) expressed as the coefficient of variability. The between-condition difference in glycemic variability will be evaluated by comparing the glycemic variability calculated from 7 days of CGM wear at the end of each study period.",{"measure":69,"description":70,"timeFrame":51},"Change in homeostatic model of insulin resistance (HOMA-IR)","HOMA-IR will be calculated as (fasting insulin μIU\u002FmL × fasting glucose mg\u002FdL) \u002F 405. Change in HOMA-IR will be calculated as the mean of the post-condition day 1 and day 2 testing values minus the mean of the pre-condition day 1 and day 2 testing values.",{"measure":72,"description":73,"timeFrame":51},"Difference in ambulatory processing speed","Ambulatory processing speed assessed by ecological momentary assessment (EMA) administered Symbol Search, expressed as median response time correct. The between-condition difference in ambulatory processing speed will be evaluated by comparing mean values from 7 days of EMA at the end of each study period.",{"measure":75,"description":76,"timeFrame":51},"Difference in ambulatory working memory","Ambulatory working memory assessed by ecological momentary assessment (EMA) administered Grid Memory, expressed as number of correct dots. The between-condition difference in ambulatory working memory will be evaluated by comparing mean values from 7 days of EMA at the end of each study period.",{"measure":78,"description":79,"timeFrame":51},"Difference in ambulatory attention","Ambulatory attention assessed by ecological momentary assessment (EMA) administered Multiple Object Tracking expressed as number of correct dots. The between-condition difference in ambulatory attention will be evaluated by comparing mean values from 7 days of EMA at the end of each study period.",{"measure":81,"description":82,"timeFrame":51},"Change in body weight","Change in body weight expressed as kg. Change in body weight will be calculated as the mean of the post-condition day 1 and day 2 testing values minus the mean of the pre-condition day 1 and day 2 testing values.",{"measure":84,"description":85,"timeFrame":51},"Difference in hunger","Hunger assessed by ecological momentary assessment (EMA) administered visual analog scale (scored 0-100). The between-condition difference in hunger will be evaluated by comparing mean values from 7 days of EMA at the end of each study period.",{"measure":87,"description":88,"timeFrame":51},"Difference in satiety","Satiety assessed by ecological momentary assessment (EMA) administered visual analog scale (scored 0-100). The between-condition difference in satiety will be evaluated by comparing mean values from 7 days of EMA at the end of each study period.",{"measure":90,"description":91,"timeFrame":51},"Change in total cholesterol","Change in fasting serum total cholesterol expressed as mg\u002FdL. Change in total cholesterol will be calculated as the mean of the post-condition day 1 and day 2 testing values minus the mean of the pre-condition day 1 and day 2 testing values.",{"measure":93,"description":94,"timeFrame":51},"Change in LDL-cholesterol","Change in fasting serum LDL-cholesterol calculated with the Martin-Hopkins equation expressed as mg\u002FdL. Change in LDL-cholesterol will be calculated as the mean of the post-condition day 1 and day 2 testing values minus the mean of the pre-condition day 1 and day 2 testing values.",{"measure":96,"description":97,"timeFrame":51},"Change in triglycerides","Change in fasting serum triglycerides expressed as mg\u002FdL. Change in triglycerides will be calculated as the mean of the post-condition day 1 and day 2 testing values minus the mean of the pre-condition day 1 and day 2 testing values.",{"measure":99,"description":100,"timeFrame":51},"Change in HDL-cholesterol","Change in fasting serum HDL-cholesterol expressed as mg\u002FdL. Change in HDL-cholesterol will be calculated as the mean of the post-condition day 1 and day 2 testing values minus the mean of the pre-condition day 1 and day 2 testing values.",{"measure":102,"description":103,"timeFrame":51},"Change in non-HDL cholesterol","Change in fasting serum non-HDL cholesterol expressed as mg\u002FdL. Change in non-HDL cholesterol will be calculated as the mean of the post-condition day 1 and day 2 testing values minus the mean of the pre-condition day 1 and day 2 testing values.",{"measure":105,"description":106,"timeFrame":51},"Change in central systolic and diastolic blood pressure","Change in central blood pressure measured using a SphymoCor Xcel (Atcor Medical) expressed as mmHg. Change in systolic and diastolic blood pressure will be calculated as the post-condition value minus the pre-condition value and expressed as mmHg.",{"measure":108,"description":109,"timeFrame":51},"Change in peripheral systolic and diastolic blood pressure","Change in peripheral blood pressure measured using a SphymoCor Xcel (Atcor Medical) expressed as mmHg. Change in systolic and diastolic blood pressure will be calculated as the post-condition value minus the pre-condition value and expressed as mmHg.",{"measure":111,"description":112,"timeFrame":51},"Change in carotid-femoral pulse wave velocity","Change in carotid-femoral pulse wave velocity (PWV) measured using a SphymoCor Xcel (Atcor Medical) expressed as m\u002Fs. Change in PWV will be calculated as the post-condition value minus the pre-condition value and expressed as m\u002Fs.",{"measure":114,"description":115,"timeFrame":51},"Change in diet quality","Assessed from a 24-hour recall completed prior to the beginning of each study period and at the end of each study period. Diet quality will be calculated according to the Healthy Eating Index-2020 (HEI). Change in HEI will be calculated at the post-condition value minus the pre-condition value","ALL","40 Years","65 Years",{"inclusion":120,"exclusion":126,"raw_text":156},[121,122,123,124,125],"Age 40-65 years","BMI 25 to 40 kg\u002Fm2","HbA1c 5.7-6.4%","Low habitual intake of peanut butter (\\\u003C0.5 Tablespoons\u002Fday on average)","Have a smartphone device or be willing to use one provided by the study",[127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155],"Hemoglobin \\\u003C13.2 g\u002FdL for men or \\\u003C 11.7 g\u002FdL for women at screening","Fasting triglycerides \\>350 mg\u002FdL at screening","LDL-cholesterol ≥190 mg\u002FdL assessed by the Martin-Hopkins equation at screening","≥10% change in body weight within the 6 months prior to enrollment","Blood pressure \\>140\u002F90 mmHg at screening","Diagnosed type 1 or type 2 diabetes","Takes any (prescription or over-the-counter) anti-hypertensive, lipid-lowering, glucose-lowering or body weight altering drugs","Intake of supplements that affect the outcomes of interest (i.e., lipids, blood pressure, glucose, body weight, and microbiome) and are unwilling to cease during the study period.","Unwilling to refrain from starting to take any supplements, vitamins, nutritional products, or health foods that are not prescribed by a doctor for the duration of the study","Self-reported history of diagnosed liver, kidney, or autoimmune disease","Self-reported history of a prior cardiovascular event (e.g., stroke, heart attack)","Self-reported history of diagnosed neurological disease (e.g. Alzheimer's Disease, Parkinson's Disease, Multiple Sclerosis)","Current pregnancy or intention of pregnancy within the next 12 months","Lactation within the prior 6 months","Peanut allergy\u002Fintolerance\u002Fsensitivity\u002Fdislike","Antibiotic use within the prior four weeks","Oral steroid use within the prior four weeks","Use of tobacco or nicotine-containing products within the past 6 months","History of cancer at any site within the past 10 years (eligible if ≥10 years without recurrence) or non-melanoma skin cancer within the past 5 years (eligible if ≥5 years without recurrence)","Participation in another clinical trial within 60 days of baseline","Currently following a restricted or weight-loss diet","Prior bariatric surgery","Intake of \\>14 alcoholic drinks\u002Fweek and\u002For not willing to avoid alcohol consumption for 48 hours prior to test visits","Does not speak and\u002For understand English","Unwilling to refrain from donating blood and\u002For plasma during the study","Weight \\\u003C110 lb","Unwilling to contact study staff before enrolling in other health-related research and avoid participating in any research that may interfere with this study","For individuals taking thyroid medication: abnormal thyroid stimulated hormone (TSH) concentration, or change in dose of thyroid medication within the last 6 months","Principal Investigator discretion related to the potential participant's ability to adhere to the study requirements, including being able to come to attend visits","Inclusion Criteria:\n\n* Age 40-65 years\n* BMI 25 to 40 kg\u002Fm2\n* HbA1c 5.7-6.4%\n* Low habitual intake of peanut butter (\\\u003C0.5 Tablespoons\u002Fday on average)\n* Have a smartphone device or be willing to use one provided by the study\n\nExclusion Criteria:\n\n* Hemoglobin \\\u003C13.2 g\u002FdL for men or \\\u003C 11.7 g\u002FdL for women at screening\n* Fasting triglycerides \\>350 mg\u002FdL at screening\n* LDL-cholesterol ≥190 mg\u002FdL assessed by the Martin-Hopkins equation at screening\n* ≥10% change in body weight within the 6 months prior to enrollment\n* Blood pressure \\>140\u002F90 mmHg at screening\n* Diagnosed type 1 or type 2 diabetes\n* Takes any (prescription or over-the-counter) anti-hypertensive, lipid-lowering, glucose-lowering or body weight altering drugs\n* Intake of supplements that affect the outcomes of interest (i.e., lipids, blood pressure, glucose, body weight, and microbiome) and are unwilling to cease during the study period.\n* Unwilling to refrain from starting to take any supplements, vitamins, nutritional products, or health foods that are not prescribed by a doctor for the duration of the study\n* Self-reported history of diagnosed liver, kidney, or autoimmune disease\n* Self-reported history of a prior cardiovascular event (e.g., stroke, heart attack)\n* Self-reported history of diagnosed neurological disease (e.g. Alzheimer's Disease, Parkinson's Disease, Multiple Sclerosis)\n* Current pregnancy or intention of pregnancy within the next 12 months\n* Lactation within the prior 6 months\n* Peanut allergy\u002Fintolerance\u002Fsensitivity\u002Fdislike\n* Antibiotic use within the prior four weeks\n* Oral steroid use within the prior four weeks\n* Use of tobacco or nicotine-containing products within the past 6 months\n* History of cancer at any site within the past 10 years (eligible if ≥10 years without recurrence) or non-melanoma skin cancer within the past 5 years (eligible if ≥5 years without recurrence)\n* Participation in another clinical trial within 60 days of baseline\n* Currently following a restricted or weight-loss diet\n* Prior bariatric surgery\n* Intake of \\>14 alcoholic drinks\u002Fweek and\u002For not willing to avoid alcohol consumption for 48 hours prior to test visits\n* Does not speak and\u002For understand English\n* Unwilling to refrain from donating blood and\u002For plasma during the study\n* Weight \\\u003C110 lb\n* Unwilling to contact study staff before enrolling in other health-related research and avoid participating in any research that may interfere with this study\n* For individuals taking thyroid medication: abnormal thyroid stimulated hormone (TSH) concentration, or change in dose of thyroid medication within the last 6 months\n* Principal Investigator discretion related to the potential participant's ability to adhere to the study requirements, including being able to come to attend visits",[158,159],"ADULT","OLDER_ADULT",[161],{"facility":162,"city":163,"state":164,"zip":165,"country":166,"contacts":167,"geoPoint":173},"The Pennsylvania State University","University Park","Pennsylvania","16802","United States",[168],{"name":169,"role":170,"phone":171,"email":172},"Kristina Petersen, PhD","CONTACT","+1 814-865 7206","kup63@psu.edu",{"lat":174,"lon":175},40.80201,-77.85639,[177,179],{"name":169,"role":170,"phone":178,"email":172},"+1 814 865 7206",{"name":180,"role":170,"phone":181,"email":182},"Stacey Meily","+1 814 863 8622","sas117@psu.edu",[],[],[],{"nct_id":4,"conditions":187,"biomarkers":188},[19],[],{"nct_id":4,"found":190,"summary":191,"prompt_version":201},true,{"design":192,"status":193,"heading":194,"summary":195,"follow_up":196,"word_count":197,"commitments":198,"compensation":199,"drugs_mentioned":200},"This is a randomized, crossover study with 56 planned participants. This means you would be randomly assigned to either eat peanut butter or your usual diet first, then switch to the other condition after a break.","completed","Peanut Butter and Prediabetes Study","This study is looking at how eating peanut butter for breakfast might affect blood sugar control, brain function, and heart disease risk in adults with prediabetes. You could be eligible if you are 40-65 years old, have a BMI between 25 and 40, and your HbA1c (a measure of average blood sugar over 2-3 months) is between 5.7-6.4%. The study will compare eating 43 grams of peanut butter daily with your usual diet. The main goal is to see if eating peanut butter changes your HbA1c after 12 weeks. The current status of this study is unclear, and it plans to enroll 56 participants.","The primary endpoint is measured at 12 weeks, which is the duration of each study period.",104,"You would follow either a peanut butter diet or your usual diet for 12 weeks, with a break of at least 8 weeks in between. Testing will be done at the beginning and end of each 12-week period.","Not stated in the trial record.",[38,44],"v2"]