[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"University of Bath\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":310},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,12,0,[8,42,64,86,109,129,149,180,206,234,253,281],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":31,"startDateStruct":34,"completionDateStruct":36,"leadSponsor":38,"locationsCount":41},"100644945","low-carbohydrate-diet-and-low-density-lipoprotein---cholesterol-ldl-c-interindividual-variability-100644945",false,"NCT07675603","Low-carbohydrate Diet and Low-Density Lipoprotein - Cholesterol (LDL-c) Interindividual Variability","Exploring True Interindividual Heterogeneity of Cardiovascular Disease (CVD) Risk Factors in Response to Low-carbohydrate Diets Using a Replicate Crossover Randomised Controlled Trial","REPETO","Inclusion Criteria:\n\n* Age: \\>18 years\n* Body mass index: 18.5-35 kg·m-2\n* Low-Density Lipoprotein-cholesterol \\\u003C4.9 mmol\u002FL\n* Non-fasting triglycerides \\\u003C2.3 mmol\u002FL\n\nExclusion Criteria:\n\n* weight instability (\\>5% change in body mass within last 3 months)\n* smoker\n* diagnosis of hypercholesterolaemia or any other lipid-related disease\n* diagnosis of diabetes\n* diagnosis of atherosclerotic cardiovascular disease\n* elevated fasting glucose (\\>5.4 mmol\u002FL)\n* dietary intolerances or allergies or to other study procedures\n* diagnosis of gastrointestinal disorders\n* any other condition\u002Fmedication that could introduce bias to the study\n* already following a ketogenic diet\n* not willing to follow a ketogenic diet\n* unable to understand English language",true,"ALL","18 Years",{"count":21,"type":22},20,"ESTIMATED","INTERVENTIONAL",[25],"NA","Ketogenic diets are very low-carbohydrate diets that increase hepatic production of ketone bodies, which have several effects as substrates and signals. Ketogenic diets are used to manage some conditions (e.g., drug-resistant epilepsy), and their potential for managing many other conditions (e.g., cancer) is being actively explored. Indeed, the British Dietetic Association acknowledge the potential for ketogenic diets to improve glycaemic control to a greater extent than some other diets in people with type 2 diabetes. A lower fasting glucose is also relevant to future mortality in people without diabetes. Ketogenic diets are popular in the general population, with up to 15% of the UK following a low-carbohydrate diet. There is, therefore, great interest in ketogenic diets amongst people with and without health conditions. However, although the diet shows promising results in improving blood sugar levels, it has also shown to increase low-density lipoprotein-cholesterol (LDL-c) in some individuals, which has been linked to increased cardiovascular health risks. The aim of this project is to find the potential for personalised use of (or guidance to avoid) ketogenic diets for cardiovascular disease risk. To do that the investigators will ask participants to replicate 24 hours of a ketogenic diet and a control diet thrice each. This will allow the investigators to find variability between responses and have a better idea of individuals who could benefit (or not) from following the ketogenic diet.",[28],"Healthy","RECRUITING","2026-06-25",{"date":32,"type":33},"2026-06-30","ACTUAL",{"date":35,"type":33},"2026-02-05",{"date":37,"type":22},"2027-03",{"name":39,"class":40},"University of Bath","OTHER",1,{"id":43,"slug":44,"hasResults":11,"nctId":45,"briefTitle":46,"officialTitle":47,"acronym":48,"eligibilityCriteria":49,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":50,"targetDuration":4,"studyType":23,"phases":52,"briefSummary":53,"conditions":54,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":56,"lastUpdatePostDateStruct":57,"startDateStruct":59,"completionDateStruct":61,"leadSponsor":63,"locationsCount":41},"100640305","effect-of-low-dose-galactose-on-glycaemia-and-glucose-kinetics-100640305","NCT07599683","Effect of Low Dose Galactose on Glycaemia and Glucose Kinetics","EFFECT OF LOW DOSE GALACTOSE ON GLYCAEMIA AND GLUCOSE KINETICS","GLOWS","Inclusion Criteria:\n\n* Age: 18 years and above;\n* Normoglycaemic (fasting glucose \\\u003C6.1 mmol\u002FL)\n* Body mass index: 18.5-30 kg\u002Fm2\n\nExclusion Criteria:\n\n* weight instability (\\>5% change within last 3 months);\n* pregnant or lactating;\n* following a very low-carbohydrate (ketogenic) diet;\n* diagnosis of diabetes or prediabetes, or any other metabolic disease;\n* dietary intolerances or allergies, or to any other study procedures;\n* disorders in the ability to metabolise galactose or fructose (e.g., galactosemias);\n* diagnosis of any gastrointestinal disorders;\n* any other condition\u002Fmedications that could introduce bias;\n* unable to understand and follow study procedures",{"count":51,"type":22},25,[25],"This project will establish the degree to which adding low-dose galactose to a meal can control blood sugar levels. People will consume standardised glucose drinks (75g glucose, as an oral glucose tolerance test). People will consume these with and without the addition of galactose, and with the addition of another sugar (fructose) for an extra comparison. We will use state-of-the-art labelling methods (dual stable isotope technology) to follow what happens to the glucose that is ingested and understand what happens to sugar being released by the liver and sugar being taken up by other tissues like the muscles. These methods can tell us how the addition of galactose can control blood sugar levels. For example, the galactose could slow down the appearance of glucose from the gut and\u002For liver released into the blood, or it could increase the disappearance of glucose from the blood into muscles. We will measure the appearance of our label on exhaled breath, which will establish whether ingested sugar is stored, or burned as fuel. We will also explore other potential ways in which galactose might control blood sugar levels by measuring key hormones and metabolites that contribute to blood sugar control (for example, insulin, fatty acids, and incretin hormones which potentiate insulin secretion). This additional evidence of how galactose can control blood sugar levels will provide the understanding required to best make use of this approach across a variety of settings.",[55],"Glucose","2026-05-14",{"date":58,"type":33},"2026-05-20",{"date":60,"type":33},"2026-01-01",{"date":62,"type":22},"2029-12-31",{"name":39,"class":40},{"id":65,"slug":66,"hasResults":11,"nctId":67,"briefTitle":68,"officialTitle":69,"acronym":4,"eligibilityCriteria":70,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":71,"enrollmentInfo":72,"targetDuration":4,"studyType":23,"phases":74,"briefSummary":75,"conditions":76,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":78,"lastUpdatePostDateStruct":79,"startDateStruct":81,"completionDateStruct":83,"leadSponsor":85,"locationsCount":41},"100592737","bath-myorhythms-project-100592737","NCT06997315","Bath Myorhythms Project","Bath MyoRhythms Project (BMP): Characterising Rhythmicity in Human Skeletal Muscle Metabolism","Inclusion Criteria:\n\n* Women and men - with targeted recruitment to encourage females to volunteer given previous recruitment rates; anticipating fewer women than men, sex will also be included as a strata in the randomisation plan to favour the few who do volunteer being relatively evenly distributed between conditions.\n* A body mass index of \\>18 and \\\u003C35 kg•m-2.\n* Minimum absolute body mass of 67 kg (to accommodate the required dose of lidocaine for 7 biopsies, plus additional for pre-incisions)\n* be between 18-50 years of age\n* Premenopausal women\n* Metabolically healthy (free from diagnosed metabolic illness or family history of type II diabetes\n* be able and willing to give informed oral and written consent,\n* complete and meet the defined criteria of pre-study questionnaires and screens\n* have a regular sleep cycle with a sleep duration between 6 and 8 h\n* do not exhibit extreme morning or evening preference (Horne and Ostberg, 1976)\n* agree to keep a constant sleep\u002Fwake cycle with a self-selected 8-h duration in bed\u002Fdark trying to sleep (from which it cannot be deviated by more than 30 minutes) for one week prior to the lab study\n* obtain 15 minutes of sunlight within 1.5 hours of waking up and agree to nap only within a 4 h designated nap window for one week prior to the lab study\n* allow confirmation of compliance to these instructions by wearing ActiHeart and light monitors continuously and complete daily sleep and event diaries for one week before the study session\n* agree to refrain from alcohol, caffeine, strenuous exercise and certain food components for one day before the study session\n* agree to weigh and record daily meals (based on individual energy requirements) for TWO days prior to the study\n* agree to refrain from prescribed and 'over the counter' medication and food\u002Fvitamin supplements for a wash-out period three weeks before and during the study IF the drug is deemed to affect study outcomes and may safely be withheld for that period.\n\nExclusion Criteria:\n\n* are taking regular medication (also non-prescribed) or food supplements (e.g. vitamins, minerals, fish oil, antioxidant tablets) from which it is not possible to refrain, known to influence: sleep\u002Falertness\u002Fthe circadian timing system (e.g. beta-blockers, barbituates, antidepressants, benzodiazepines, melatonin, ritalin, modafinil, soporifics, St John's Wort), any of the metabolic functions (e.g. affecting thyroid, kidney, liver or gastrointestinal function) any of the inflammatory markers (e.g. aspirin, ibuprofen, antibiotics, hay fever medication, medication for sore throats and colds), and\u002For any of the endothelial markers (e.g. ACE inhibitors and angiotensin (receptor) blockers, diuretics, beta-blockers, anti-thrombosis medication), any anticoagulant medication\n* have a history of any circadian or sleep disorder or metabolic, cardiovascular or chronic infectious \u002F inflammatory disease as confirmed by the GP or the pre-study questionnaires (e.g. a Pittsburgh Sleep Quality Index \\> 5 will result in exclusion)\n* have a history of psychiatric or neurological disease or drug and alcohol abuse\n* have donated over 400 ml of blood in the three months preceding the study\n* have participated in shift work (regularly working past a typical bed time of 2300 h) or have travelled across more than two time zones within three weeks before the study\n* do not keep a regular sleep-wake cycle\n* do not refrain from alcohol, caffeine containing drinks (e.g. coffee, coke, tea, Red Bull), strenuous exercise and certain foods (e.g. those high in fat and green vegetables) for one day before and during the laboratory session\n* regularly consume more than 4 cups of caffeinated beverages (e.g. tea, coffee, cola) daily\n* smokers\n* have a known lidocaine allergy","50 Years",{"count":73,"type":22},30,[25],"Human Physiology is coordinated by a circadian timing system that synchronises daily cycles of light-dark, wake- sleep, activity-rest and feeding-fasting. The alignment of these behavioural patterns with underlying biological rhythms is closely linked to physiological function, with misalignment linked to chronic metabolic diseases.\n\nThe vast majority of evidence about rhythms in metabolism comes from studies of rodents, which is remarkable given that rodents differ fundamentally from humans in both behaviour and metabolic regulation. Moreover, almost no research in any species has examined the effects of muscle contractile activity on 24-h rhythms in metabolism. Skeletal muscle is a key site of metabolic regulation and contractile activity is a powerful stimulus to increase metabolism. The researchers have established a novel protocol for serial muscle sampling throughout 24 hours and pilot work completed in preparation for this grant revealed diurnal transcriptomic and lipidomic rhythms in human skeletal muscle. Further development of that protocol has used enteral feeding via a tube which delivers nutrient directly to the stomach to enable constant nutrient delivery (including during sleep), with preliminary data indicating that underlying rhythms in metabolism are responsive to nutrient availability patterns.\n\nThe researchers will now capitalise on those findings by incorporating multiple isotope tracers within the protocol, thus finally documenting the nature of rhythmic flux in carbohydrate metabolism and protein turnover in human skeletal muscle, and how those rhythms are aligned with timing and patterns of exercise. In summary, participants will stay in the laboratory for 36 hours with 24 hours of constant feeding via nasogastric tube, and muscle and blood sampling. Participants will be allocated to either the early or late exercise group (involving 1 hour of cycling at either 0800 or 2000 h, respectively) or the control group who will rest for the 24 hours.",[77],"Metabolic Regulation","2026-05-06",{"date":80,"type":33},"2026-05-11",{"date":82,"type":33},"2025-05-23",{"date":84,"type":22},"2027-11",{"name":39,"class":40},{"id":87,"slug":88,"hasResults":11,"nctId":89,"briefTitle":90,"officialTitle":91,"acronym":92,"eligibilityCriteria":93,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":94,"enrollmentInfo":95,"targetDuration":4,"studyType":23,"phases":97,"briefSummary":98,"conditions":99,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":101,"lastUpdatePostDateStruct":102,"startDateStruct":104,"completionDateStruct":106,"leadSponsor":108,"locationsCount":41},"100629699","can-personalised-digital-feedback-help-increase-plant-food-intake-100629699","NCT07478068","Can Personalised Digital Feedback Help Increase Plant Food Intake?","Supporting Increased Plant Food Intake Using Personalised Digital Feedback","D4M","Inclusion Criteria:\n\n* Healthy males and females, age at start of the study ≥ 18 and ≤ 45 years;\n* Non-rejectors of Knorr (due to the recipes in the PDP application);\n* Currently cooking or intending to cook (\\*themselves or partner) at least one main meal at home for at least five days a week;\n* Indicated desire to eat more vegetables;\n* In possession of an Android or iOS-based smartphone;\n* Willing to use an app to receive information and log all meals daily;\n* Currently using or willing to use a smartwatch;\n* Able to provide informed consent.\n\nExclusion Criteria:\n\n* High reported baseline veg intake (participants need to self-report less than 50% of the UK rec \u002F self-reported intake above the UK adult average (206 g\u002F2.6 servings));\n* Reported participation in another nutritional or biomedical trial within 1 month before the screening or during the study;\n* Planned frequent travel (\\>2\u002Fmonth) and travel to countries with time zone \\>GMT +04:00 during the study period;\n* Habitual consumption of \\>14 units (female participants) and \\>21 units (male participants) alcoholic drinks in a typical week;\n* Reported start or change in use of any nicotine containing products directly preceding the study or during the study itself;\n* If female, is pregnant (or has been pregnant during the last \\\u003C3 months) or will be planning pregnancy during the study period;\n* If female, is lactating or has been lactating in the 6 weeks before screening and\u002For during the study period;\n* Reported dietary habits: medically prescribed diet, slimming diet, any condition or self-prescribed diet that restricts consumption of vegetables, not used to eating at least 3 meals a day;\n* Reported body mass loss\u002Fgain (\\>5%) in the last 3 months before the study. Self-reported history of major depressive disorders and\u002For current use antidepressive\u002Fantianxiety medication;\n* Clinically diagnosed sleep disorders and\u002For use prescribed sleep medication. Taking medication (including traditional medicines and or dietary supplements) which may pose undue personal risk or introduce bias into study measurements, as judged by the PI;\n* An allergy to adhesives, which would prevent proper attachment of the CGM;\n* Being an employee of any company developing personalised diet applications, including Salus Optima or Unilever.","45 Years",{"count":96,"type":22},315,[25],"Inadequate plant food intake is a leading modifiable risk factor for non-communicable disease. However, on average, 88% of individuals do not consume adequate amounts of vegetables. Using digital technology may help improve health behaviours , with this potentially providing an accessible route to increasing plant food intake. However, uptake and engagement with applications designed to influence health behaviours is generally poor , and few studies have examined the main factors supporting user engagement and retention. Personalised dietary feedback, such as the provision of personalised advice or recipes, has the potential to enhance this process. However, whether nutritional interventions utilising personalised dietary feedback support user interaction, engagement, and retention remains to be studied.\n\nHence, the proposed project is a proof-of-concept study aiming to assess the effectiveness of using an application with personalised dietary feedback to support increased healthy plant food intake. 315 healthy males and females, between the ages of 18- and 45-years who self-report less than 50% of the recommended intake of vegetable consumption will participate in the study.\n\nBefore the intervention, participants will receive web-based instruction on the use of the smartphone application. Subsequently, participants will log all meals for two-weeks using the application to generate a baseline plant food consumption profile. In the baseline period, participants will wear a continuous glucose monitor. This will inform their individualised goals and possible feedback for the intervention period. The intervention will be 4-weeks in duration, consisting of the use of a personalised dietary program application, which will provide both recipes and feedback. Those randomised to the control will only have access to the meal logging feature. Throughout this period, participants will wear a smartwatch to track sleep metrics such as sleep onset and duration. Following the four-week intervention period, participants will be able to continue using the app for a six-week period, during which engagement with the application over time will be ascertained via telemetry. At the end of the follow-up, participants will receive an exit questionnaire to provide insight on their experience with the application, attitudes, habits and knowledge regarding consumption of plant foods, and self-perceived impact on health and dietary habits.\n\nTo provide mechanistic insight, a subset of participants (n = 50) will visit the laboratory at the University of Bath on two occasions (approximately 45 minutes each) - baseline and post-intervention. During laboratory visits, participants will provide blood pressure and body weight measurements, as well as saliva and venous blood samples. Saliva samples will be assessed for salivary cortisol, and blood samples will be assessed for the following: plasma glucose \\& insulin; plasma uric acid; plasma ascorbic acid; plasma tocopherols; serum carotenoids; plasma cytokines; plasma CRP and ferritin; F2-Isoprostanes; immune cell inflammatory capacity; HbA1c.",[100],"Plant Food Intake","2026-03-13",{"date":103,"type":33},"2026-03-17",{"date":105,"type":33},"2025-05-14",{"date":107,"type":22},"2026-03-30",{"name":39,"class":40},{"id":110,"slug":111,"hasResults":11,"nctId":112,"briefTitle":113,"officialTitle":113,"acronym":114,"eligibilityCriteria":115,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":94,"enrollmentInfo":116,"targetDuration":4,"studyType":23,"phases":118,"briefSummary":119,"conditions":120,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":101,"lastUpdatePostDateStruct":122,"startDateStruct":124,"completionDateStruct":126,"leadSponsor":128,"locationsCount":41},"100629251","does-the-development-of-the-repeated-bout-effect-depend-on-oxidative-stress-and-inflammation-100629251","NCT07472244","Does the Development of the Repeated Bout Effect Depend on Oxidative Stress and Inflammation?","ANTI-RBE","Inclusion Criteria:\n\n* 18 - 45 years of age\n* BMI 18.5 - 29.9 kg\u002Fm2\n* Able to perform 20-minutes of bench stepping exercise\n* Capable and willing to provide consent (oral and written)\n\nExclusion Criteria:\n\n* Familiarised with bench stepping exercise procedures\n* Not cleared for exercise by health questionnaires or physical activity readiness questionnaire\n* Participants exhibiting any alteration in clinical inflammation parameters due to other cause\n* Participants currently being prescribed any anti-inflammatory medications",{"count":117,"type":22},52,[25],"Eccentric exercise, particularly when novel and strenuous, can cause soreness and inflammation, impairing subsequent exercise performance. These performance decrements are attributable to oxidative stress and inflammation. Interestingly, a single bout of eccentric exercise can confer protective effects, ameliorating the negative consequences in subsequent bouts. This is termed the repeated bout effect (RBE), which would be of interest to athletes considering the detrimental effects of strenuous eccentric exercise. Athletes regularly consume supplements in hope of attenuating the performance decrements after strenuous eccentric exercise\n\n. However, considering the dose-response relationship between the initial performance decrement and the magnitude of the RBE , supplements may diminish the obtainment of the RBE. This notion remains untested, and so the proposed project is a double-blind, placebo-controlled, parallel group study aiming to assess the effects of acute vitamin C and ibuprofen supplementation on the development of the RBE. These two supplements were chosen as they are most frequently and successfully used in the literature to target oxidative stress (vitamin C) and inflammation (ibuprofen). Additionally, these doses (and the timing of supplements) were chosen to mimic protocols reporting beneficial effects",[121],"Exercise Recovery",{"date":123,"type":33},"2026-03-16",{"date":125,"type":33},"2025-09-01",{"date":127,"type":22},"2027-02-28",{"name":39,"class":40},{"id":130,"slug":131,"hasResults":11,"nctId":132,"briefTitle":133,"officialTitle":134,"acronym":4,"eligibilityCriteria":135,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":136,"targetDuration":4,"studyType":23,"phases":138,"briefSummary":139,"conditions":140,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":142,"lastUpdatePostDateStruct":143,"startDateStruct":145,"completionDateStruct":146,"leadSponsor":148,"locationsCount":41},"100620640","glucose-fructose-ratio-pilot-100620640","NCT07360249","Glucose-fructose Ratio Pilot","PILOT TEST OF GLUCOSE-FRUCTOSE RATIOS ON EXOGENOUS CARBOHYDRATE OXIDATION RATES DURING EXERCISE","Inclusion Criteria:\n\n* Age: 18 years and above;\n* Performing endurance training for at least 5 hours per week\n* Capable of three hours of continuous exercise\n\nExclusion Criteria:\n\n* Glucose or lipid lowering, or weight loss medication\n* Diagnosis of cardiovascular disease, renal failure, liver disease or type 2 diabetes\n* Contraindications to exercise\n* Pregnant or lactating",{"count":137,"type":22},10,[25],"The aim of this pilot study is to estimate the effect size of changing the glucose-fructose ratio from 1:0.5 to 1:1 on exogenous carbohydrate oxidation rates during exercise, which can be used to power a future definitive study.",[141],"Exercise Metabolism","2026-01-14",{"date":144,"type":33},"2026-01-22",{"date":142,"type":33},{"date":147,"type":22},"2026-08-01",{"name":39,"class":40},{"id":150,"slug":151,"hasResults":11,"nctId":152,"briefTitle":153,"officialTitle":154,"acronym":155,"eligibilityCriteria":156,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":157,"enrollmentInfo":158,"targetDuration":4,"studyType":23,"phases":159,"briefSummary":160,"conditions":161,"keywords":166,"overallStatus":171,"whyStopped":4,"lastUpdateSubmitDate":172,"lastUpdatePostDateStruct":173,"startDateStruct":175,"completionDateStruct":177,"leadSponsor":179,"locationsCount":41},"100602382","impact-of-diet-induced-change-in-energy-balance-on-metabolism-in-endurance-athletes-100602382","NCT07122778","Impact of Diet-induced Change in Energy Balance on Metabolism in Endurance Athletes","Impact of Diet-induced Change in Energy Balance on Metabolism in Endurance Athletes: the Carpe DIEM Study","Carpe DIEM","Inclusion Criteria:\n\n* Self-identified endurance-trained sport participants\n* Training volume: \\>7 hours per week endurance training\n* Training frequency: at least 5 days per week\n\nExclusion Criteria:\n\n* Diagnosis of Relative Energy Deficiency in Sport (REDs)\n* Active eating disorder (EDE-Q)\n* Active flare of a chronic disease (e.g. inflammatory bowel disease)\n* Type 1 or 2 diabetes mellitus\n* Untreated or undergoing active treatment of anaemia (any cause)\n* Current injury which precludes undertaking high volume endurance training\n* Individuals following a habitual low-carbohydrate, high-fat diet\n* Any medical diagnosis which precludes intense exercise (e.g. untreated cardiac arrhythmia)\n* Allergy or intolerance to study foods\n* Blood donation within preceding 8 weeks of study start date\n* Use of medications that affect substrate utilisation (e.g. statins, corticosteroids, thyroxine, HRT)\n* For females: current pregnancy, breastfeeding within past 6 months or post-menopausal\n* Unable to undertake a treadmill running test\n* Participation in any research study in the past 8 weeks\n* Participation in a research study within the past year involving more than one DEXA scan\n* Unable to provide informed consent due to impaired cognitive capacity or decision-making ability","49 Years",{"count":21,"type":22},[25],"Recent research has suggested that increasing levels of physical activity are associated with a reduction in the independent components that contribute to total energy expenditure (such as resting metabolic rate and non-exercise movement) - this occurs to conserve energy required for physical activity where energy provision becomes scarce. There are potential deleterious health and performance consequences of a reduced energy supply to fundamental metabolic processes, putting individuals regularly undertaking high levels of physical activity, such as endurance athletes, at risk. However, this association is largely based on observational data in only moderately active populations, and it is currently unclear what role energy balance status and biological sex has on this relationship.\n\nThis research intends to address these unknowns by assessing the impact of diet-induced manipulation of energy balance (conditions of energy deficit and energy surplus) in individuals undertaking habitually high levels of physical activity on independent components of total energy expenditure (resting metabolism, exercise and non-exercise movement).\n\nMale and female athletes conducting regular moderate-to-high training volumes will undertake a randomised crossover study with a 7-day state of energy deficit and a 7-day state of energy surplus. Participants will continue to live and train as normal, but their diet will be controlled by specific food provision over the intervention periods in order to facilitate both conditions. Independent components of energy expenditure, markers of health, metabolism and performance will be measured to allow for comparison of conditions.",[162,163,164,165],"Energy Balance","Energy Deficit","Low Energy Availability","Relative Energy Deficiency in Sport",[167,168,169,170],"energy deficit","energy balance","energy availability","physical activity","NOT_YET_RECRUITING","2025-08-11",{"date":174,"type":33},"2025-08-14",{"date":176,"type":22},"2025-08",{"date":178,"type":22},"2027-05",{"name":39,"class":40},{"id":181,"slug":182,"hasResults":11,"nctId":183,"briefTitle":184,"officialTitle":185,"acronym":186,"eligibilityCriteria":187,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":188,"targetDuration":4,"studyType":23,"phases":189,"briefSummary":190,"conditions":191,"keywords":193,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":198,"lastUpdatePostDateStruct":199,"startDateStruct":201,"completionDateStruct":203,"leadSponsor":205,"locationsCount":41},"100600624","neuromuscular-electrical-stimulation-and-glucose-control-in-spinal-cord-injury-100600624","NCT07099911","Neuromuscular Electrical Stimulation and Glucose Control in Spinal Cord Injury","Novel Use of Neuromuscular Electrical Stimulation to Improve Glucose Control in Individuals With Spinal Cord Injury","NMES-SCI","Inclusion Criteria:\n\nWe are asking all individuals who meet our study criteria if they would like to take part. We are looking for both males and females who meet all the criteria on this list for either SCI or non-injured individuals:\n\nIndividuals with SCI:\n\n* \\>1-year postinjury.\n* 18 years of age or above\n* American Spinal Cord Injury Impairment Scale A-C.\n* Level of Injury, Cervical 5-Lumbar 2.\n* Have capacity to provide informed consent.\n\nNon-injured individuals:\n\n• 18 years of age or above\n\nExclusion Criteria:\n\n* Has been diagnosed with type 2 diabetes, or actively taking a pharmaceutical to address elevated blood glucose.\n* Unable to understand explanations and\u002For provide informed consent.\n* If you cannot tolerate the NMES intervention\n* Is pregnant or planning to become pregnant during the study duration\n\nSCI only:\n\n* Recently trained with electrical stimulation (\\\u003C 6 months)\n* Recent history of lower limb fractures\n* Peripheral nerve injury to lower extremities\n* Unresolved pressure ulcers\n* Known lower motor neuron injury.\n* If the research team cannot induce visible or palpable contractions of the quadricep muscle with NMES\n* If they cannot tolerate the NMES intervention\n* Has previously experienced uncontrolled autonomic dysreflexia",{"count":21,"type":22},[25],"Overall aim: To identify the impact and acceptability of a novel method of neuromuscular electrical stimulation (NMES) for improving glucose control using a dual stable isotope tracer OGTT in individuals with spinal cord injury (SCI).\n\nObjective 1:\n\n1. To establish the extent to which an acute bout of NMES improves health-related measures of glucose control, compared to a SHAM control trial.\n2. To identify the relative magnitude of effect, compared to non-injured control participants (CON).\n\nHypotheses:\n\n1. NMES will be more effective at improving glucose control by increasing peripheral glucose uptake, relative to SHAM condition.\n2. The effect will be greater in individuals with SCI compared to non-injured control participants.\n\nObjective 2:\n\nTo investigate the real-world feasibility of NMES as a therapeutic intervention, participants with SCI will be given instructions for 2-weeks of at-home use. In-depth interviews will be conducted to evaluate acceptability and identify areas that could be adapted to effectively implement NMES in a future trial.\n\nParticipants will complete two experimental trials in a randomised crossover fashion separated by 7 days which will consist of either a sham control (SHAM) or an acute bout of NMES during a 3-h oral glucose tolerance test (OGTT). Following the experimental trial days, participants with SCI will take home a NMES device and will be given instructions for 2-weeks of at-home NMES use (Figure 1) to assess acceptability and feasibility.",[192],"Spinal Cord Injury",[194,195,196,197],"Neuromuscular electrical stimulation","Spinal cord injury","Glucose control","Metabolism","2025-08-03",{"date":200,"type":33},"2025-08-07",{"date":202,"type":22},"2025-08-08",{"date":204,"type":22},"2027-09-01",{"name":39,"class":40},{"id":207,"slug":208,"hasResults":11,"nctId":209,"briefTitle":210,"officialTitle":211,"acronym":212,"eligibilityCriteria":213,"healthyVolunteers":11,"sex":18,"minAge":19,"maxAge":214,"enrollmentInfo":215,"targetDuration":4,"studyType":23,"phases":216,"briefSummary":217,"conditions":218,"keywords":221,"overallStatus":171,"whyStopped":4,"lastUpdateSubmitDate":227,"lastUpdatePostDateStruct":228,"startDateStruct":230,"completionDateStruct":231,"leadSponsor":233,"locationsCount":41},"100595061","remote-exercise-to-improve-physical-activity-levels-and-markers-of-heart-health-in-cystic-fibrosis-rhh-cf-100595061","NCT07027553","Remote Exercise to Improve Physical Activity Levels and Markers of Heart Health in Cystic Fibrosis (RHH-CF)","A Research Study to Understand Whether Remote Exercise Can Improve Physical Activity Levels and Markers of Heart Health in Cystic Fibrosis","RHH-CF","Inclusion Criteria:\n\n* Past diagnosis of Cystic Fibrosis confirmed via two copies of a faulty CFTR gene, or; previous sweat chloride test with a result \\>60mmol\u002FL chloride, or; prescribed modulator therapy (Orkambi, Symkevi, Kaftrio);\n\nExclusion Criteria:\n\n* Any reported condition, behaviour or reported use of substances which may pose undue personal risk to the participant or introduce bias into the study, except for any which are ubiquitous in society and so would be equally distributed between groups and\u002For therefore relevant to generalisation (e.g. caffeine)\n* Medications which increase risk of harm to a participant exercising remotely such as fluoroquinolone antibiotics, beta blockers, or blood pressure medication\n* Individuals with unstable or poorly controlled diabetes\n* Individuals on statins\n* Females who are pregnant or lactating\n* Individuals with a previous self-reported history of an eating disorder\n* Individuals unable to provide informed consent e.g. inability to read or speak English\n* Individuals who are not weight stable (i.e. \\>3kg change in body mass in the past 3 months)\n* Individuals awaiting a solid organ transplant, have a diagnosis of pulmonary hypertension or require long term oxygen therapy to exercise at home\n* Individuals with chest pain, dizziness or loss of consciousness during exercise, who have been instructed by a doctor to only do certain types\u002Fquantity of physical activity\n* Individuals on any current ongoing medication or treatment for injuries or illness which impact on their ability to do physical tasks or exercises\n* Individuals who are PAR-Q positive response during screening","65 Years",{"count":73,"type":22},[25],"With advances in genetic therapies, many people with Cystic Fibrosis (CF) are living longer. With the improvement in life expectancy has emerged an increased risk of cardiovascular disease (CVD). Factors such as insulin resistance, reduced physical activity, rising blood pressure from newer medications, and changes in body mass index have made cardiovascular health a growing concern in CF care.\n\nThis study aims to assess whether a remotely delivered, monitored exercise programme can increase physical activity levels in adults with CF. Secondary outcomes will explore whether the intervention improves key CVD risk factors. Participants will be randomly assigned to either a control group or an intervention group, which will complete an 8-week home-based aerobic and resistance exercise programme. Exercise intensity will be tailored using the Rate of Perceived Exertion scale.\n\nKey outcomes include weekly physical activity levels, body mass index, waist circumference, lung function (spirometry) and blood biomarkers. Home-based capillary blood tests, analysed pre- and post-intervention, will measure cholesterol, lipid profiles, inflammation and other relevant hormones.",[219,220],"Cystic Fibrosis (CF)","Cardiovascular Disease Risk Factors",[222,223,224,225,226],"Exercise","Physical activity","Cystic Fibrosis","Cardiovascular disease risk","Mobile health interventions","2025-06-19",{"date":229,"type":33},"2025-06-25",{"date":227,"type":22},{"date":232,"type":22},"2026-09-19",{"name":39,"class":40},{"id":235,"slug":236,"hasResults":11,"nctId":237,"briefTitle":238,"officialTitle":238,"acronym":4,"eligibilityCriteria":239,"healthyVolunteers":11,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":240,"targetDuration":4,"studyType":23,"phases":242,"briefSummary":243,"conditions":244,"keywords":4,"overallStatus":171,"whyStopped":4,"lastUpdateSubmitDate":246,"lastUpdatePostDateStruct":247,"startDateStruct":249,"completionDateStruct":250,"leadSponsor":252,"locationsCount":4},"100590412","exploring-the-feasibility-and-acceptability-of-virtual-reality-exercise-for-pain-management-fear-of-movement-mobility-and-proprioception-deficit-in-axial-spondyloarthritis-patients-during-flares-twics-design-100590412","NCT06967077","Exploring the Feasibility and Acceptability of Virtual Reality Exercise for Pain Management, Fear of Movement, Mobility, and Proprioception Deficit in Axial Spondyloarthritis Patients During Flares: Twics Design","Inclusion Criteria:\n\n1. Confirmed diagnosis of axial spondyloarthritis (axSpA).\n2. Experiencing an active flare of axSpA within the last 6 months\n3. Over 18 years of age.\n\nExclusion Criteria:\n\n1. History of major spinal surgery.\n2. Pregnancy.\n3. Severe vestibular disorders, visual, balance, neurological, or cardiovascular conditions that may affect mobility.",{"count":241,"type":22},40,[25],"Axial spondyloarthritis (axSpA) is an autoimmune disease that causes inflammatory arthritis of the spine, causing pain, stiffness, and mobility limitations. During flares, when symptoms worsen, people with axSpA often experience increased pain and difficulty moving, making daily activities more challenging. This study aims to explore whether virtual reality (VR) exercise can help manage pain, improve movement, and support rehabilitation for axSpA patients during flares.\n\nParticipants will use a VR system to perform gentle exercises designed to encourage movement and reduce discomfort. Their spinal mobility will be measured using motion capture technology, and their experiences with VR will be assessed through questionnaires and interviews.\n\nThis research will help determine whether VR can be a practical and beneficial tool for axSpA rehabilitation, potentially offering a new way to manage symptoms and improve quality of life. The findings will guide future studies on using VR in healthcare settings for people with chronic pain conditions.",[245],"Axial Spondyloarthritis","2025-05-07",{"date":248,"type":33},"2025-05-13",{"date":125,"type":22},{"date":251,"type":22},"2027-12-10",{"name":39,"class":40},{"id":254,"slug":255,"hasResults":11,"nctId":256,"briefTitle":257,"officialTitle":258,"acronym":4,"eligibilityCriteria":259,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":214,"enrollmentInfo":260,"targetDuration":4,"studyType":23,"phases":262,"briefSummary":263,"conditions":264,"keywords":266,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":273,"lastUpdatePostDateStruct":274,"startDateStruct":276,"completionDateStruct":278,"leadSponsor":280,"locationsCount":41},"100568715","intermittent-carbohydrate-restriction-in-cardiometabolic-health-100568715","NCT06684834","Intermittent Carbohydrate Restriction in Cardiometabolic Health","The Effects of Intermittent Carbohydrate Restriction on Metabolic Health and Energy Balance in Adults with Abdominal Overweight and Obesity","Inclusion Criteria:\n\n1. Waist circumference of ≥94 cm (37 inches) if male and ≥80 cm (31.5 inches) if female, or BMI above 25 kg\u002Fm2\n2. Fat mass index (FMI) of \\>6 kg\u002Fm2 for males, and \\>9 kg\u002Fm2 for females\n3. Aged between 18-65 years\n4. Has maintained a stable weight in the last three months (\\\u003C3% change in body mass)\n5. Keeps track of menstrual cycle regularity or oral contraceptive use (females only)\n\nExclusion Criteria:\n\n1. Has a body weight of ≥120kg\n2. Plans to undertake other lifestyle modifications during the study to manage weight (e.g. changes in dietary intake or activity levels)\n3. Current or previous eating disorder\n4. Diagnosed with major chronic conditions (e.g. type 2 diabetes, coronary heart disease, cancer, chronic kidney disease, etc.)\n5. Use of medication that may interfere with study outcomes (e.g. glucose or lipid lowering medications)\n6. Currently or recently pregnant (within last 6 months), planning to get pregnant or currently lactating\n7. Has donated more than 500ml of blood in the last 3 months prior to the initial laboratory visit\n8. Insufficient mental capacity or language skills to independently understand and follow the study protocol\n9. Dietary restrictions to ingredients in test meals (e.g. gluten and lactose)\n10. Has an irregular sleeping pattern (e.g. due to undertaking night-shift work)\n11. Any condition, concurrent intervention or behaviour deemed either to pose undue personal risk to the participant or to introduce bias into the experiment",{"count":261,"type":22},36,[25],"Metabolic conditions, such as heart disease, type 2 diabetes, and metabolic syndrome, are among the leading causes of disability and mortality worldwide. Identifying innovative lifestyle strategies to reduce metabolic risk remains a public health priority. Further research is essential to understand how low carbohydrate intake influences human metabolism and how intermittent carbohydrate restriction impacts weight loss and metabolic health markers.\n\nThis study will investigate two interventions that restrict dietary carbohydrate intake on different schedules, examining their effects on metabolic health and energy balance in adults with abdominal overweight or obesity. The physiological mechanisms potentially underlying these effects will be explored by measuring a range of lifestyle and metabolic health parameters in both free-living and laboratory settings. A digital behaviour-change intervention will be incorporated after the dietary intervention to assess whether any metabolic effects can be sustained over time.\n\nThe study employs a three-arm parallel-group design consisting of a two-week lifestyle monitoring phase, a four-week dietary intervention, and a four-week digital intervention, with four laboratory visits throughout each phase. During the dietary intervention, participants will be allocated to one of three groups: (i) carbohydrate restriction (\\\u003C8% of energy intake) on two consecutive days per week, (ii) carbohydrate restriction after 4 pm each day, or (iii) no dietary changes.\n\nDietary intake, physical activity, and glucose levels will be monitored through wearable devices in free-living conditions. The digital intervention will use a mobile health application that provides individualised lifestyle recommendations and education based on data collected in free-living conditions. Laboratory-based measures will include anthropometry, body composition scans, indirect calorimetry, blood pressure monitoring, fat biopsies, and postprandial sampling of blood and expired air.",[265],"Obesity and Overweight",[267,268,269,270,271,272],"carbohydrate restriction","carbohydrate timing","intermittent carbohydrate restriction","intermittent energy restriction","evening carbohydrate restriction","carbohydrate periodisation","2024-11-09",{"date":275,"type":33},"2024-11-12",{"date":277,"type":33},"2023-09-05",{"date":279,"type":22},"2036-10",{"name":39,"class":40},{"id":282,"slug":283,"hasResults":11,"nctId":284,"briefTitle":285,"officialTitle":286,"acronym":4,"eligibilityCriteria":287,"healthyVolunteers":17,"sex":18,"minAge":288,"maxAge":4,"enrollmentInfo":289,"targetDuration":4,"studyType":23,"phases":291,"briefSummary":292,"conditions":293,"keywords":295,"overallStatus":171,"whyStopped":4,"lastUpdateSubmitDate":302,"lastUpdatePostDateStruct":303,"startDateStruct":305,"completionDateStruct":307,"leadSponsor":309,"locationsCount":4},"100542511","compassion-project-developing-an-empathy-based-stress-intervention-100542511","NCT06343818","Compassion Project: Developing an Empathy-Based Stress Intervention","The Compassion Project: Developing and Piloting an Intervention to Reduce Empathy-Based Stress on Adolescent Mental Health Wards","Inclusion Criteria:\n\n* Staff working on the 2 adolescent mental health ward sites at this time. All young people and parents\u002Fcarers who are discharged during the time period of the intervention.\n\nExclusion Criteria:\n\n* There are no exclusion criteria for staff. For young people who are inpatients on the ward and parents\u002Fcarers of young people, an exclusion criteria would be if levels of English are such that questionnaires are inaccessible without reasonable adjustments and a supporting person is not available. We will strive to include all potential participants in the study if supporters are available to help an individual access the questionnaires.","13 Years",{"count":290,"type":22},100,[25],"Compassion is recognising that someone is suffering and wanting to help them. Compassion fatigue is a reduction in capacity to feel compassion for others. Secondary trauma is the experience of traumatic responses to hearing about someone else's trauma. Burnout is depersonalisation, emotional exhaustion, and feeling less good at one's job. Compassion fatigue, secondary trauma and burnout can all be referred to as empathy-based stress. This is a problem for healthcare staff and their patients.\n\nStaff experiencing empathy-based stress deliver less high quality care, which can lead to serious consequences for patients. Empathy-based stress is also associated with staff sickness, which is bad for staff and costly to the United Kingdom's National Health Service (NHS).\n\nChild and adolescent mental health (CAMHS) wards are busy, high-pressure environments where families and young people are often upset, resources are stretched, and staff are managing high levels of patient risk of self-harm or suicide.\n\nThe principal investigator has already reviewed research on empathy-based stress and interventions to prevent and\u002For reduce it in mental health ward staff. This evidence has been presented to CAMHS ward staff, managers, commissioners, patients and families and these stakeholders have co-designed an intervention for wards, to reduce empathy-based stress. The intervention aims to help staff to feel better and care better.\n\nThis pilot study aims to test and improve our intervention on two CAMHS wards, measuring how useful and well-liked it is, and how feasible it would be to use it and to test it on more wards. Staff on CAMHS wards will be offered a modular intervention including psychoeducation about empathy based stress and ways of combatting it, and workplace stressor and management toolkits. NHS CAMHS ward staff and patients will be asked to complete questionnaires and a subsample of staff will be asked to complete interviews about the process of the intervention.",[294],"Reduction of Empathy-Based Stress in Healthcare Staff",[296,297,298,299,300,301],"Compassion Fatigue","Burnout","Secondary Trauma","Empathy-Based Stress","Staff wellbeing","Patient care","2024-03-26",{"date":304,"type":33},"2024-04-03",{"date":306,"type":22},"2024-08-01",{"date":308,"type":22},"2027-08-31",{"name":39,"class":40},""]