[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"food-addiction\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:food-addiction":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,5,0,[8,44,78,105,130],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":28,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":32,"lastUpdatePostDateStruct":33,"startDateStruct":36,"completionDateStruct":38,"leadSponsor":40,"locationsCount":43},"100519495","ultra-crave-an-investigation-of-ultra-processed-food-100519495",false,"NCT06044285","Ultra Crave: An Investigation of Ultra-Processed Food","Ultra Crave: A Biopsychobehavioral Investigation of Withdrawal From Ultra-Processed Food in Humans","Inclusion Criteria:\n\n* 22 to 60 years of age\n* English-speaking\n* Must own an Android or iPhone Smartphone\n* Live within a 1-hour radius of the laboratory\n* endorsement of \\> 4 symptoms on the YFAS 2.0 completed during eligibility screener; at the time of consent, symptom count must remain above threshold for food addiction (this discrepany is based on a previously found tendency during pilot testing to overestimate food addiction symptoms at the time of screening)\n* Willing and able to follow specific dietary instructions provided by the study team\n* Willing and able to attend 3 in-person lab visits\n* Willing to complete 4 phone interviews about foods eaten in the past 24 hours\n* Willing to report daily intake of food\n* Like the taste of chocolate milkshake (for fMRI scan eligibility only).\n\nExclusion Criteria:\n\n* participants with a self-reported BMI \\\u003C 18.5 and \\> 40\n* Current diagnosis of disorder that may impact study results or the ability to safely complete study tasks (hypothyroidism (uncontrolled by medication), diabetes, etc.)\n* History of food allergies\n* Unable to respond to brief questionnaires within 90-minutes during the day\n* Work night shifts or irregular shifts\n* Restrictive dietary requirements (e.g., vegan) or high levels of picky eating\n* Medications (e.g., insulin, antipsychotic medications) that may impact study results or safe completion of study tasks\n* Diagnosis of severe mental illness (e.g., schizophrenia, bipolar disorder)\n* Diagnosis of a restrictive eating disorder (e.g., Anorexia Nervosa, Bulimia Nervosa, purging disorder) within the last 5 years\n* Current diagnoses of disorders that can impact reward\u002Fmetabolic functioning\n* 20+ pound weight fluctuation in the last 3-months\n* Prior weight loss surgery (e.g., bariatric surgery)\n* Currently pregnant, breastfeeding, trying to get pregnant, or within 6-months of having given birth\n* High levels or high-risk intake of alcohol or caffeine\n* Use of tobacco or nicotine in the past month\n* Use of THC cannabis within the past week\n* Unwillingness to abstain from THC cannabis, tobacco or nicotine during the main portion of the study (\\~22 days)\n* fMRI contraindications (e.g., claustrophobia, metal implants).\n* inability to complete a random report within 90 minutes","ALL","22 Years","60 Years",{"count":20,"type":21},210,"ESTIMATED","INTERVENTIONAL",[24],"NA","This study experimentally investigates whether a reduction in ultra-processed (UP) food intake (1) causes aversive withdrawal symptoms in humans, (2) increases the motivational salience of UP food cues and, if so, (3) whether these factors undermine the ability to adhere to a low-UP diet. The following aims and hypotheses are tested:\n\nAim 1: To investigate whether aversive physical, cognitive, and affective withdrawal symptoms emerge in response to reduced UP food intake compared to a high-UP diet, and whether this predicts failure to adhere to a low-UP diet.\n\nH1a: Reducing UP food intake will result in aversive physical, cognitive, and affective withdrawal symptoms, as indicated by 1) ecological momentary assessment (EMA) reports of aversive withdrawal symptoms, and 2) heart rate reactivity and subjective distress to an in-lab stressor.\n\nH1b: Aversive symptoms of UP food withdrawal will predict greater UP food intake and higher blood glucose levels when trying to adhere to a low UP diet.\n\nAim 2: To investigate whether increased motivational salience of UP food cues emerges in response to reduced UP food intake, and whether this predicts failure to maintain a low-UP diet.\n\nH2a: Reducing UP food intake will result in increased motivational salience of UP food cues, as indicated by 1) EMA reports of UP food craving, 2) heart rate reactivity and subjective craving in a simulated fast-food restaurant, 3) heightened reinforcement value for UP food relative to other reinforcers, and 4) greater reward-related neural response to UP food cues.\n\nH2b: Increased motivational salience of UP food cues will predict greater UP food intake and higher blood glucose levels when trying to adhere to a low UP diet.",[27],"Food Addiction",[29,27,30],"Withdrawal","Highly Processed Foods","RECRUITING","2026-05-15",{"date":34,"type":35},"2026-05-19","ACTUAL",{"date":37,"type":35},"2023-08-05",{"date":39,"type":21},"2028-08-05",{"name":41,"class":42},"University of Michigan","OTHER",1,{"id":45,"slug":46,"hasResults":11,"nctId":47,"briefTitle":48,"officialTitle":49,"acronym":4,"eligibilityCriteria":50,"healthyVolunteers":11,"sex":16,"minAge":51,"maxAge":52,"enrollmentInfo":53,"targetDuration":4,"studyType":55,"phases":4,"briefSummary":56,"conditions":57,"keywords":64,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":69,"lastUpdatePostDateStruct":70,"startDateStruct":72,"completionDateStruct":74,"leadSponsor":76,"locationsCount":43},"100632774","relationships-between-nomophobia-levels-and-perceived-stress-body-image-and-food-addiction-among-university-students-100632774","NCT07518056","Relationships Between Nomophobia Levels and Perceived Stress, Body Image and Food Addiction Among University Students","An Investigation of the Relationships Between Nomophobia Levels and Stress, Body Image and Food Addiction Among University Students","Inclusion Criteria:\n\n* Being an active smartphone user\n* Reading and providing consent via the Informed Consent Form\n* Absence of conditions such as pacemaker implantation, metallic prostheses in the body, or pregnancy\n* Not having a diagnosed metabolic disorder (e.g., Cushing's syndrome, diabetes, thyroid disorders) or any acute\u002Fchronic psychiatric condition that may affect eating behavior\n\nExclusion Criteria:\n\n* Individuals with a current diagnosis of an eating disorder (e.g., anorexia nervosa, bulimia nervosa, binge eating disorder, etc.)\n* Individuals with a psychiatric diagnosis of severe depression, bipolar disorder, psychotic disorder, or an anxiety disorder requiring treatment\n* Individuals who regularly use psychiatric medications (e.g., SSRIs, SNRIs, antipsychotics, mood stabilizers, etc.)\n* Individuals who have used corticosteroids or similar hormone-regulating medications in the past 3 months\n* Pregnant or breastfeeding individuals\n* Participants who did not complete the questionnaires or the measurement procedures","18 Years","30 Years",{"count":54,"type":21},150,"OBSERVATIONAL","The purpose of this study is to examine the effects of nomophobia levels on stress, food addiction, and body image among undergraduate students aged 18-30 at Bahçeşehir University, Faculty of Health Sciences. The primary questions it aims to answer are:\n\n* Is there a statistically significant relationship between nomophobia levels and perceived stress, food addiction, and body image among university students?\n* Is there a correlation between objective anthropometric data (body fat percentage, skeletal muscle mass) measured via Bioelectrical Impedance Analysis (BIA), waist\u002Fhip circumference measurements, and the individual's perceived body image?",[58,59,60,61,62,27,63],"Nomofobia","Body Image Disturbance","Body Image","Body Image Disorder","Eating Behavior Disorders","Stress",[65,66,67,68],"nomophobia","stress","body image","food addiction","2026-04-15",{"date":71,"type":35},"2026-04-17",{"date":73,"type":35},"2026-02-10",{"date":75,"type":21},"2026-05-01",{"name":77,"class":42},"Bahçeşehir University",{"id":79,"slug":80,"hasResults":11,"nctId":81,"briefTitle":82,"officialTitle":83,"acronym":4,"eligibilityCriteria":84,"healthyVolunteers":85,"sex":16,"minAge":51,"maxAge":86,"enrollmentInfo":87,"targetDuration":4,"studyType":22,"phases":89,"briefSummary":90,"conditions":91,"keywords":93,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":96,"lastUpdatePostDateStruct":97,"startDateStruct":99,"completionDateStruct":101,"leadSponsor":103,"locationsCount":43},"100518424","probiotic-intervention-study-100518424","NCT06030362","Probiotic Intervention Study","Double Blinded Placebo Controlled Feasibility Study to Evaluate a Combination Probiotic in Adults With Obesity","Inclusion Criteria:\n\n* Ages 18-50\n* BMI 25-40\n* Male and Female\n* Not Pregnant or Nursing\n\nExclusion Criteria:\n\n* Co-morbidities including but not limited to:\n* Type 1 (insulin dependent) diabetes\n* vascular disease\n* drastic weight loss (more than 10lbs over the preceding 2months)\n* frequent strenuous exercise (i.e. marathon runners\u002Fheavy weight lifting)\n* abdominal surgeries including weight loss surgery or partial\u002Fcomplete resection of stomach or bowel\n* untreated thyroid disease\n* neurological disease\n* Major medical condition the PI\u002FMD feels would put the subject at risk or interfere with data collection.\n* Chronic pain\n* Diagnosed DSM IV active psychiatric illness including eating disorders. Must not be active or present for at least 2 years. Participants with a positive endorsement on the MINI+ will be excluded.\n* Using medications known to affect hunger\u002Fsatiety\u002Fappetite\n* Pregnant, lactating, postpartum less than 6months.\n* Women of childbearing potential who are not practicing birth control or are planning to get pregnant during the study.\n* Use of oral\u002FIV antibiotics within the last 3 months\n* Use of probiotics in the last 3 months.\n* Heavy use of alcohol and drugs will be determined by a positive endorsement on the MINI+. If the MINI+ is positive for alcohol or drug dependence or abuse, the participant will be excluded. In regards to tobacco use, participants will be excluded if they smoke more than 1\u002F2 pack per day.\n* Cannabis use will not be exclusionary. If the MINI+ is positive for drug dependence or abuse, the participant will be excluded.\n* Significant change in usual diet and\u002For weight loss of more than 10lbs in the last 2 months.\n* Anyone taking medicines on the medication exclusion list.\n* Non-English Speakers (due to the use of validated questionnaires and limited availability of translated copies, participants must be fluent in English so that they will be able to read and follow directions easily.\n* Maintenance pharmacotherapies will not be exclusionary so long as they have been on a stable dose for 6months.\n* Body weight at enrollment greater than 400lbs.\n* Exclude from Optional MRI if: participant is unable to safely participate in the MRI (claustrophobia, presence of devices affected by MRI such as pacemakers, neurostimulators, metallic foreign bodies, etc.).",true,"50 Years",{"count":88,"type":21},100,[24],"The current standard of care for obesity is the optimal management of comorbid conditions such as diabetes and hyperlipidemia, and counseling on diet, weight loss, or increased physical activity programs. However, lifestyle, diet, and behavioral interventions may provide between 7-10% reduction in initial weight and even fewer with long-term weight loss. In severely obese patients (BMI\\>40 or BMI\\>35 with comorbidities), bariatric surgery is also a potential treatment, but there is a high barrier for patients to undergo surgery for weight loss. These barriers include an aversion to major abdominal surgery, long recovery time, potential risk of vitamin deficiency, and risk for abdominal pain. For these reasons, there is a paramount need for other treatments for obesity and for food addiction.\n\nThe current standard of care for obesity and food addiction is difficult to implement and lacks sustained efficacy. Most struggle to complete treatment, lose minimal weight, lack sustained weight loss, and engage in the well-known \"YoYo\" diet phenomenon. While bariatric surgery is currently the only effective treatment for obesity, there are several barriers associated with it such as eligibility requirements, invasiveness, difficult recovery, and cost making it not readily available for everyone. Some approved medications that help with obesity, such as orlistat, lorcaserin, or naltrexone-bupropion, have not been widely adopted by providers or patients due to their limited responses and adverse side effects. Probiotic cocktails have shown to be safe with little to no side effects. Preclinical models of probiotics demonstrate the ability to curb obesity in animal models. Therefore, a probiotic that is able to show significant weight loss along with lifestyle modifications would be highly adopted and desirable.",[92,27],"Obesity",[94,95],"Probiotic","Dietary Supplement","2026-03-24",{"date":98,"type":35},"2026-03-27",{"date":100,"type":35},"2023-07-18",{"date":102,"type":21},"2027-07-31",{"name":104,"class":42},"University of California, Los Angeles",{"id":106,"slug":107,"hasResults":11,"nctId":108,"briefTitle":109,"officialTitle":109,"acronym":4,"eligibilityCriteria":110,"healthyVolunteers":11,"sex":16,"minAge":51,"maxAge":111,"enrollmentInfo":112,"targetDuration":4,"studyType":22,"phases":114,"briefSummary":115,"conditions":116,"keywords":118,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":121,"lastUpdatePostDateStruct":122,"startDateStruct":124,"completionDateStruct":126,"leadSponsor":128,"locationsCount":43},"100472893","biobehavioral-reward-responses-associated-with-consumption-of-nutritionally-diverse-ultra-processed-foods-100472893","NCT05437809","Biobehavioral Reward Responses Associated With Consumption of Nutritionally Diverse Ultra-Processed Foods","Inclusion Criteria Men and women Age 18-65 years BMI ≥ 30 kg\u002Fm2 Endorse liking the foods included in the compulsory test snacks at a 6 on a scale from 1-10 No history of severe psychiatric illness; current mild to moderate severity of depression, anxiety, or binge eating disorder, determined by the behavioral evaluation and the screening measures will be included Live in the greater Springfield, Oregon area and are willing\u002Fable to participate in six in-person assessments Can access and are willing\u002Fable to use a smartphone\n\nExclusion Criteria Medical condition that may limit consumption of compulsory test snack foods or impact metabolic responses to food consumption Type I or II diabetes (HbA1c \\> 6.5 based on blood test) Uncontrolled hypertension (blood pressure ≥ 140\u002F90 mm Hg) Cardiovascular event (e.g., stroke, myocardial infarction) in the last 12 months Individuals with dietary allergies of aversions to the test snack foods Individuals taking medications that may influence the metabolic responses of interest (e.g., metformin) Individuals who are actively pursuing weight loss or have lost ≥ 5% of their initial weight in the last 6 months Severe symptoms of mood, anxiety, and any severity of thought disorders Severe binge eating disorder or full criteria bulimia Persons with active substance-use disorders Current, active suicidal ideation, and\u002For a suicide attempt within the past year History of bariatric surgery Women who are nursing, pregnant, or planning to become pregnant in the next three months Self-report current diagnosis of a transferrable blood condition (including HIV, hepatitis B, hepatitis C, or syphilis) Self-report prior history of being dizzy or anxious during blood draws and\u002For technician not being able to find a vein.","65 Years",{"count":113,"type":21},50,[24],"The changing food environment, with increasingly abundant ultra-processed food (UPF) options, may directly contribute to rising rates of obesity, though it is unknown which ingredients in UPF elevate their reinforcing nature in a way that may lead to overconsumption. The proposed study is the first to systematically examine differences in the rewarding characteristics of and physiological and metabolic responses to UPFs that are high in fat, refined carbohydrates (like sugar), or both. Understanding the biobehavioral underpinnings that enhance the reinforcing potential of ingredients in UPF (e.g., fat vs. refined carbohydrates) can inform novel intervention targets for the treatment of overeating and obesity.",[92,117,27],"Overeating",[119,120],"Ultra-processed foods","Food reward","2026-02-09",{"date":123,"type":35},"2026-02-12",{"date":125,"type":35},"2023-02-20",{"date":127,"type":21},"2027-03-31",{"name":129,"class":42},"Oregon Research Institute",{"id":131,"slug":132,"hasResults":11,"nctId":133,"briefTitle":134,"officialTitle":135,"acronym":136,"eligibilityCriteria":137,"healthyVolunteers":11,"sex":16,"minAge":138,"maxAge":139,"enrollmentInfo":140,"targetDuration":4,"studyType":22,"phases":142,"briefSummary":143,"conditions":144,"keywords":146,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":153,"lastUpdatePostDateStruct":154,"startDateStruct":156,"completionDateStruct":158,"leadSponsor":160,"locationsCount":43},"100577029","evaluation-of-a-digital-school-based-intervention-for-the-primary-prevention-of-eating-disorders-in-pre-adolescents-preta-program-100577029","NCT06792981","Evaluation of a Digital School-Based Intervention for the Primary Prevention of Eating Disorders in Pre-Adolescents (PRETA Program)","Effectiveness and Cost-effectiveness of an Online School-based Program for Reducing Risk Factors in Pre-adolescents (PRETA): Protocol for a Cluster Randomized Controlled Trial","PRETA","Inclusion Criteria:\n\n* Enrolled in the fifth or sixth year of primary education.\n* Informed consent provided by the student's legal guardians and responsible teacher to participate.\n\nExclusion Criteria:\n\n* Significant comprehension difficulties that limit adequate participation in the program and questionnaires.","10 Years","13 Years",{"count":141,"type":21},1068,[24],"Background:\n\nEating Disorders (ED) are mental health conditions, characterized by pathological behaviors toward food intake or a persistent obsession with weight control. EDs have a high prevalence among pre-adolescents in developed countries and pose a significant economic burden. Preventive interventions targeting at-risk populations for ED have proven effective. The use of Information and Communication Technologies (ICTs) facilitates access to larger population groups while also reducing costs.\n\nObjectives:\n\n* Develop and validate a universally applied intervention (PRETA), mediated by ICTs, to reduce eating-disorder risk and modifiable risk factors, through cultural adaptation and adjustment of the POtsdam Prevention at Schools (POPS) Program to preadolescents.\n* Assess the efficacy of the PRETA Program through a randomized controlled trial (RCT).\n* Evaluate the efficiency of the PRETA Program from a social perspective. Methodology The PRETA Program uses 9 online sessions with interactive activities for pre- adolescents, plus education for their families and teachers.\n\nIts content includes addressing key factors in the development of ED, such as eating habits, beauty standards, and media literacy, as well as activities aimed at strengthening psychological dimensions (self-esteem, emotional regulation, problem-solving, psychological flexibility, and resilience) and social skills, including communication styles and distinguishing between jokes and bullying.\n\nThe study involves schools being randomly assigned to either the PRETA Program or regular health activities. The effect of the intervention will be evaluated 3 months after its start.",[145,27],"Eating Disorders in Adolescence",[147,148,149,150,151,152],"eating disorders","school-based intervention","efficacy","efficiency","Universal Prevention Program","Online Health","2025-09-15",{"date":155,"type":35},"2025-09-19",{"date":157,"type":35},"2025-03-10",{"date":159,"type":21},"2025-12-31",{"name":161,"class":42},"Servicio Canario de Salud"]