[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"shift-work-disorder\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:shift-work-disorder":101},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,9,0,[8,48,89,111,136,168,192,216,249],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":29,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100625713","impact-of-shift-work-on-glucose-and-lipid-metabolism-of-hospital-workers-100625713",false,"NCT07426211","Impact of Shift Work on Glucose and Lipid Metabolism of Hospital Workers","METASHIFT","Inclusion Criteria:\n\n* Aged between 18 and 67\n* Male or female\n* Currently employed\n* Body-Mass-Index (BMI) \\\u003C40 kg\u002Fm2\n* Working hours ≥28 hours\u002Fweek\n* Employees working night shifts (group A): (1) Working night shifts for \\>1 year, (2) at least two night shifts within the 2-week observation period\n* Employees not working night shifts (group B): No night shifts for \\>1 year\n* Capable of giving consent\n* Health insurance\n* Good knowledge of German\n\nExclusion Criteria:\n\n* Pregnancy and breastfeeding\n* Special diets, e.g. intermittent fasting\n* Severe acute or chronic illnesses, e.g. type 1 diabetes mellitus, liver or kidney disease, heart attack within the last 6 months, stroke or systemic infections, current cancer or cancer within the last 2 years\n* Bariatric surgery\n* Hereditary or acquired blood clotting disorders\n* Severe mental illnesses, e.g. depression, addiction or eating disorders (individual assessment by study staff, if necessary after consultation with a doctor)\n* Holiday in a different time zone (≥ 2 hours time difference) one month before study participation or within the 2-week observation phase\n* Participation in another study that could influence the results of the current study\n* Special drug therapies that could influence the study results (individual assessment by study staff, if necessary after consultation with a physician)\n* Physical or mental difficulties in understanding and following instructions from study staff",true,"ALL","18 Years","67 Years",{"count":21,"type":22},48,"ESTIMATED","OBSERVATIONAL","The aim of the study is to evaluate circadian glucose, activity and dietary rhythms, as well as metabolic and cardiovascular risk associated with night shift work, sleep quality and well-being in a cohort of hospital staff, comparing employees with night shifts to employees without night shifts.",[26,27,28],"Chronodisruption","Shift Work Disorder","Glucose and Lipid Metabolism",[30,31,32,33,34],"Shift work","Circadian clocks","Nutrition","Glucose metabolism","Lipid metabolism","RECRUITING","2026-06-03",{"date":38,"type":39},"2026-06-04","ACTUAL",{"date":41,"type":39},"2026-06-01",{"date":43,"type":22},"2028-01",{"name":45,"class":46},"Olga Ramich (formerly Pivovarova)","OTHER",2,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":4,"eligibilityCriteria":54,"healthyVolunteers":16,"sex":17,"minAge":55,"maxAge":56,"enrollmentInfo":57,"targetDuration":4,"studyType":59,"phases":60,"briefSummary":62,"conditions":63,"keywords":68,"overallStatus":79,"whyStopped":4,"lastUpdateSubmitDate":80,"lastUpdatePostDateStruct":81,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":4},"100595156","virtual-mindfulness-and-breathing-training-for-stress-burnout-sleep-and-cognition-in-rotating-shift-nurses-100595156","NCT07028788","Virtual Mindfulness and Breathing Training for Stress, Burnout, Sleep, and Cognition in Rotating-Shift Nurses","Effectiveness of Virtual Mindfulness Combined With Brief Structured Breathing Training on Perceived Stress, Burnout, Sleep Quality, and Cognitive Function Among Rotating-Shift Nurses: A Randomized Controlled Trial","Inclusion Criteria:\n\n1. Age between 20 and 65 years.\n2. Able to understand spoken or written Mandarin or Taiwanese.\n3. Employed full-time for at least 3 months with a signed employment contract.\n4. Has worked rotating shifts (including day, evening, and\u002For night shifts) in the past 3 months.\n5. Willing to participate and sign informed consent.\n6. Registered nurse.\n7. A perceived stress score greater than or equal to 50 based on a standardized scale.\n\nExclusion Criteria:\n\n1. Pregnant or breastfeeding individuals.\n2. History of substance abuse (e.g., tobacco, illicit drugs).\n3. Alcohol consumption ≥350 ml\u002Fweek with alcohol content ≥3.5%.\n4. Diagnosed or suspected autonomic nervous system disorders.\n5. History of severe or unstable cardiovascular disease, cerebrovascular disease, cancer, or end-stage organ failure within the past 6 months.\n6. Current diagnosis of psychiatric disorders (e.g., major depressive disorder, schizophrenia), or use of psychiatric or sleep medications (e.g., antidepressants, sedatives).\n7. Reported discomfort (e.g., dizziness, nausea) when using virtual reality devices.\n8. Engaged in other regular exercise programs, light therapy, or mind-body interventions during the study period.\n9. Participating in other clinical trials simultaneously.","20 Years","65 Years",{"count":58,"type":22},300,"INTERVENTIONAL",[61],"NA","This randomized controlled trial aims to evaluate the effectiveness of a mobile- and virtual reality-based mindfulness and breathing intervention on stress, burnout, sleep quality, and cognitive function among Rotating-shift nurses. Participants will be randomly assigned to one of four groups: (1) health education control group, (2) mobile-based mindfulness only, (3) mobile-based mindfulness combined with brief structured breathing, and (4) virtual reality-assisted mindfulness combined with brief structured breathing. The intervention will last for 8 weeks, with participants practicing 5 times per week for 10 minutes per session. Primary outcomes include perceived stress, burnout levels, sleep quality, and cognitive function.",[64,65,66,67,27],"Occupational Burnout","Work-Related Stress","Sleep Disturbance","Cognitive Dysfunction",[69,70,71,72,73,74,75,76,77,78],"breathing training","burnout","cognitive function","mindfulness meditation","mobile health","perceived stress","physiological arousal","rotating-shift nurse","sleep quality","virtual reality","NOT_YET_RECRUITING","2026-04-07",{"date":82,"type":39},"2026-04-08",{"date":84,"type":22},"2026-07",{"date":86,"type":22},"2027-12",{"name":88,"class":46},"Chang Shih-Chin",{"id":90,"slug":91,"hasResults":11,"nctId":92,"briefTitle":93,"officialTitle":94,"acronym":4,"eligibilityCriteria":95,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":96,"enrollmentInfo":97,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":99,"conditions":100,"keywords":4,"overallStatus":79,"whyStopped":4,"lastUpdateSubmitDate":102,"lastUpdatePostDateStruct":103,"startDateStruct":105,"completionDateStruct":107,"leadSponsor":108,"locationsCount":110},"100623257","impact-of-night-shift-work-on-dietary-habits-among-intensive-care-and-emergency-healthcare-workers-nutrinight-100623257","NCT07394283","Impact of Night Shift Work on Dietary Habits Among Intensive Care and Emergency Healthcare Workers (NUTRINIGHT)","Impact of Night Shift Work on Dietary Habits Among Intensive Care and Emergency Healthcare Workers: An Observational Questionnaire-Based Study","Inclusion Criteria:\n\n* Adults aged 18 years and older.\n* Currently working night shifts.\n* Employment in healthcare (intensive care units or emergency departments) or in non-healthcare professional sectors\n* Voluntary participation and completion of the online questionnaire\n\nExclusion Criteria:\n\n* None","64 Years",{"count":98,"type":22},245,"Night shift work is an essential component of healthcare systems, particularly in intensive care units and emergency departments, where continuous patient monitoring and rapid clinical decision-making are required. However, it is associated with diruption of the circadian rhythm , sleep disturbances, and physiological stress, which may influence lifestyle behaviors, including dietary habits. Previous studies have reported that night work can be associated with changes in meal timing, increased caloric intake, preference for energy-dense foods, and reduced overall diet quality.Despite the growing literature on night work and nutrition, data specifically describing dietary habits among healthcare professionals working night shifts in high-intensity clinical settings remain limited. Intensive care units and emergency departments combine high workload, psychological stress, time constraints, and restricted access to appropriate meals during night hours, all of which may affect eating behaviors. Moreover, whether these dietary patterns are specific to healthcare professionals or primarily related to night work itself remains unclear. This observational, cross-sectional study aims to describe dietary habits among healthcare professionals working night shifts in intensive care units and emergency departments, and to compare these habits with those of night workers from non-healthcare sectors. Data will be collected prospectively through a voluntary, anonymous, self-administered online questionnaire during a defined inclusion period. The questionnaire will explore meal timing, eating patterns, food choices, and constraints perceived as influencing dietary behaviors during night work. By providing a descriptive overview of dietary habits across different categories of night workers, the study seeks to improve understanding of how night work and occupational context influence eating behaviors. The findings may contribute to the development of future preventive strategies and workplace health initiatives aimed at improving the health and well-being of night shift workers",[101],"Shift-work Disorder","2026-01-30",{"date":104,"type":39},"2026-02-06",{"date":106,"type":22},"2026-03-01",{"date":41,"type":22},{"name":109,"class":46},"Centre Hospitalier Universitaire de Nice",1,{"id":112,"slug":113,"hasResults":11,"nctId":114,"briefTitle":115,"officialTitle":115,"acronym":4,"eligibilityCriteria":116,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":117,"targetDuration":4,"studyType":59,"phases":119,"briefSummary":120,"conditions":121,"keywords":122,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":127,"lastUpdatePostDateStruct":128,"startDateStruct":130,"completionDateStruct":132,"leadSponsor":134,"locationsCount":110},"100451073","ems-providers-health-initiative-study-100451073","NCT05153759","EMS Providers' Health Initiative Study","Inclusion Criteria:\n\n* Emergency medical service (EMS) provider\n* Works night shift only for at least one year\n* Provides patient care as primary duty\n\nExclusion Criteria:\n\n* Diagnosis of a metabolic disease (i.e. diabetes, prediabetes, metabolic syndrome)\n* Taking medication to lower blood glucose\n* Pregnant or planning to become pregnant\n* Diagnosis of kidney disease or impairment\n* Allergies or intolerances to study foods\n* Digestive disorder",{"count":118,"type":22},40,[61],"This study aims to explore dietary factors that influence glycemic control in night shift EMS providers and to test the feasibility of a dietary intervention among these providers.",[101],[123,124,32,125,126],"EMS","Night shift","Insulin resistance","Circadian rhythm","2026-01-23",{"date":129,"type":39},"2026-01-27",{"date":131,"type":39},"2022-06-07",{"date":133,"type":22},"2026-12",{"name":135,"class":46},"State University of New York at Buffalo",{"id":137,"slug":138,"hasResults":11,"nctId":139,"briefTitle":140,"officialTitle":141,"acronym":4,"eligibilityCriteria":142,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":56,"enrollmentInfo":143,"targetDuration":4,"studyType":59,"phases":145,"briefSummary":147,"conditions":148,"keywords":150,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":159,"lastUpdatePostDateStruct":160,"startDateStruct":162,"completionDateStruct":164,"leadSponsor":165,"locationsCount":118},"100559763","phase-3-studying-solriamfetol-modulation-of-taar-1-dopamine-and-norepinephrine-in-shift-work-disorder-sustain-100559763","NCT06568367","Studying Solriamfetol Modulation of TAAR-1, Dopamine, and Norepinephrine in Shift Work Disorder (SUSTAIN)","A Multi-center, Randomized, Double-blind, Placebo-controlled Trial to Assess the Efficacy and Safety of Solriamfetol in Excessive Sleepiness Associated With Shift Work Disorder","Inclusion Criteria:\n\n* Meets International Classification of Sleep Disorders, Third Edition (ICSD-3) criteria for Shift Work Disorder (SWD)\n* Provides written informed consent to participate in the study before the conduct of any study procedures.\n* Male or female, aged 18 to 65 inclusive.\n\nExclusion Criteria:\n\n* Prior exposure to solriamfetol\u002FSunosi, through either a clinical study or prescription.\n* Unable to comply with study procedures.\n* Medically inappropriate for study participation in the opinion of the investigator.",{"count":144,"type":22},520,[146],"PHASE3","SUSTAIN (Studying Solriamfetol Modulation of TAAR-1, Dopamine, and Norepinephrine in Shift Work Disorder) is a Phase 3, multi-center, randomized, double-blind, placebo-controlled, parallel- group trial to assess the efficacy and safety of solriamfetol in adults with excessive sleepiness associated with shift work disorder (SWD).",[149,101],"Excessive Sleepiness",[149,151,152,153,154,155,156,157,158],"Solriamfetol","Sunosi","SWD","Dopamine norepinephrine reuptake inhibitor","Non-stimulant therapy","Insomnia","Circadian Rhythm Sleep Disorder","Trace amine-associated receptor 1 (TAAR1) agonist","2025-11-20",{"date":161,"type":39},"2025-11-25",{"date":163,"type":39},"2024-08-01",{"date":133,"type":22},{"name":166,"class":167},"Axsome Therapeutics, Inc.","INDUSTRY",{"id":169,"slug":170,"hasResults":11,"nctId":171,"briefTitle":172,"officialTitle":173,"acronym":174,"eligibilityCriteria":175,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":176,"targetDuration":4,"studyType":59,"phases":178,"briefSummary":179,"conditions":180,"keywords":181,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":183,"lastUpdatePostDateStruct":184,"startDateStruct":186,"completionDateStruct":188,"leadSponsor":190,"locationsCount":110},"100471863","role-of-sleep-reactivity-in-shift-work-disorder-100471863","NCT05424406","Role of Sleep Reactivity in Shift Work Disorder","Sleep Reactivity as a Novel Mechanism in Shift Work Disorder","REACT","Inclusion Criteria:\n\n* Participants must be working a fixed nightshift schedule, operationalized as: a) working at least three night shifts a week, b) shifts must begin between 18:00 and 02:00, and last between 8 to 12 hours, and c) must also plan to maintain the nightshift schedule for the duration of the study\n* Participants must have Shift Work Disorder, which will be diagnosed based on ICSD-3 criteria\n* Participants must show circadian misalignment, operationalized as a baseline melatonin onset between 18:00 and 01:00.\n* Participants must be at least 18 years old\n\nExclusion Criteria:\n\n* Insomnia disorder or excessive sleepiness predating the onset of shift work\n* Termination of nightshift schedule\n* Presence of other sleep disorders (e.g. obstructive sleep apnea, narcolepsy) determined by standard clinical polysomnography\n* Diagnosis of bipolar disorder\n* History of neurological disorders determined by self-report and medical history\n* Pregnancy\n* Alcohol use disorder\n* Illicit drug use via self-report and urine drug screen if reasonable suspicion to test",{"count":177,"type":22},150,[61],"The purpose of this project is to test sleep reactivity as an independent cause of Shift Work Disorder (SWD). The primary hypothesis is that those with high sleep reactivity will show persistent SWD symptoms after experimental reduction of circadian misalignment, which will then be mitigated with CBT.",[101],[182],"Sleep reactivity","2025-10-09",{"date":185,"type":39},"2025-10-14",{"date":187,"type":39},"2023-01-01",{"date":189,"type":22},"2027-10-01",{"name":191,"class":46},"Henry Ford Health System",{"id":193,"slug":194,"hasResults":11,"nctId":195,"briefTitle":196,"officialTitle":197,"acronym":198,"eligibilityCriteria":199,"healthyVolunteers":16,"sex":17,"minAge":200,"maxAge":4,"enrollmentInfo":201,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":203,"conditions":204,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":207,"lastUpdatePostDateStruct":208,"startDateStruct":210,"completionDateStruct":212,"leadSponsor":214,"locationsCount":110},"100538264","night-shift-work-and-biomarkers-of-obesity-risk-in-hospital-and-industry-workers-100538264","NCT06288568","Night Shift Work and Biomarkers of Obesity Risk in Hospital and Industry Workers","Development and Evaluation of Nutritional Strategies to Reduce and Prevent Obesity in Shiftworkers","Shift2Health","Inclusion Criteria shift worker\n\n* Health care sector or industrial shift worker\n* Employed or self-employed\n* 21 years or older\n* ≥ 24 h\u002F week\n* Shift work duration \\> 3 years and currently doing night shifts\n* 4 or more rotating night shifts\u002Fmonth (night shift defined as a work schedule that involves working at least 3 hours between 00:00 and 5:00), at least 2 consecutive nights\u002Fmonth\n\nInclusion criteria controls\n\n* Health care sector or industrial work\n* Employed or self-employed\n* 21 years or older\n* ≥ 24 h\u002F week\n* No night shift or rotating shift work in the last 5 years\n* No history of night shift or rotating shift work for more than 5 years\n\nExclusion Criteria shift worker and controls:\n\n* Pregnancy\n* Lactation period\n* BMI of 40 kg\u002Fm2 or above\n* Present treatment of a disease e.g. cancer radio- or chemotherapy\n* Chronic diseases if in an ongoing therapy but not after a remission (renal failure, active hepatitis, cirrhosis, myocardial infarction, chronic obstructive pulmonary disease and cancer)\n* Immunodeficiency syndrome, any auto-immune or auto-inflammatory diseases (e.g. type-1 diabetes, multiple sclerosis, lupus, rheumatoid arthritis) and acute episodes of atopic diseases (atopic dermatitis, asthma, type 1 allergies such as hay fever)\n* Bariatric surgery\n* Antibiotics in the last month","21 Years",{"count":202,"type":22},1000,"Shift work is a well-known risk factor for the development of overweight and obesity, which may lead to downstream effects such as increased risk of cardiometabolic diseases and cancer. However, the biological and behavioral mechanisms underlying the obesogenicity of night shift work are not well understood. Population-based mechanistic studies in real life shift workers are needed to address how night shift work impacts metabolic health.\n\nThe investigators aim to characterize the behavioural, environmental, and biological mechanisms and pathways for the association of night shift work and obesity across Europe.\n\nThe investigators will conduct a cross sectional study in 5 European countries (Austria, Denmark, Germany, Netherlands and Poland) and recruit 1000 rotating night shift workers and day workers (200\u002Fcountry) from the health sector and different industries. Night and day workers will be age-frequency (3 age groups), gender and (where possible) working tasks matched. Participants will complete online questionnaires and report their diet habits in a mobile app. Body composition, dietary behavior and sensory preferences will be tested. Biologic specimens (blood, urine, saliva, hair and feces) will be collected at the workplace on a day where participants are working on a day shift (or a day off). In a subsample (Austria and Netherlands) shift workers will provide biological samples (spot blood, urine and saliva) both on a day shift and on a night shift. Biomarkers including hormones, cellular immunity and inflammation, parameters linked to gut health and metabolism of fat and sugar, appetite, oxidative stress, metabolomics and microbiota will be measured. The investigators hypothesize that compared to day workers, night shift workers will experience disrupted levels of pre-obesity markers. Higher circadian disruption, sleep disruption and mistimed eating patterns workers will be associated with more disrupted biomarker profiles. Among rotating shift workers, night shift will be associated with acute disrupted melatonin production, metabolomic profiles and composition of oral microbiota compared to a day shift.",[205,101,206],"Obesity","Circadian Rhythm Disorders","2025-09-05",{"date":209,"type":39},"2025-09-08",{"date":211,"type":39},"2024-04-01",{"date":213,"type":22},"2028-05-31",{"name":215,"class":46},"University of Vienna",{"id":217,"slug":218,"hasResults":11,"nctId":219,"briefTitle":220,"officialTitle":221,"acronym":4,"eligibilityCriteria":222,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":223,"enrollmentInfo":224,"targetDuration":4,"studyType":59,"phases":226,"briefSummary":227,"conditions":228,"keywords":234,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":240,"lastUpdatePostDateStruct":241,"startDateStruct":243,"completionDateStruct":245,"leadSponsor":247,"locationsCount":110},"100553901","the-peripheral-blood-multi-omics-study-on-sleep-loss-100553901","NCT06492109","The Peripheral Blood Multi-Omics Study on Sleep Loss","The Peripheral Blood Multi-Omics Study on the Association of Sleep Loss With Aging and Alzheimer's Disease","Inclusion Criteria:\n\n1. Signed informed consent form；\n2. Meet the inclusion criteria for each arms.\n\nExclusion Criteria:\n\n1. Failure to provide informed consent;\n2. Inability to follow study procedures due to issues such as language barriers or cognitive impairment;\n3. Regular use of medications that may alter the relationship between sleep and outcome variables (e.g., opioid medications, benzodiazepines, and Z drugs \\[non-benzodiazepine hypnotics\\]);\n4. History of alcohol abuse, substance abuse, consciousness disorders, cerebrovascular disease, head injury, epilepsy, encephalitis, or other neurological disorders;\n5. Diagnosis of schizophrenia, severe depression, anxiety disorders, or other severe psychiatric conditions;\n6. Presence of severe arrhythmias, myocardial infarction within the last 6 months, severe pulmonary dysfunction, renal or hepatic insufficiency, severe anemia, severe gastrointestinal diseases, tumors, or other severe medical conditions.","80 Years",{"count":225,"type":22},60,[61],"Sleep plays a role in cognitive processes such as memory processing, attention processing, and overall cognitive function. In recent years, the bidirectional relationship between sleep loss and aging, as well as related neurodegenerative diseases, has garnered widespread attention. Sleep disorders are a typical clinical manifestation of neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease and are closely related to the progression of these diseases. However, current research has yet to fully elucidate the physiological responses to sleep loss across different ages and cognitive levels, as well as the association and molecular basis between sleep loss, aging, and neurodegenerative diseases. This study aims to comprehensively characterize the transcriptional and metabolic changes in peripheral blood under sleep loss in populations of different ages and cognitive levels using multi-omics approaches and to preliminarily explore the role of sleep loss in aging and AD.",[229,230,231,232,233,101],"Sleep Deprivation","Aging","Alzheimer Disease","Healthy Lifestyle","Cognitive Decline",[235,236,237,238,239],"sleep loss","multi-omics","Metabolome","aging","alzheimer's disease","2025-07-30",{"date":242,"type":39},"2025-07-31",{"date":244,"type":39},"2024-06-20",{"date":246,"type":22},"2025-12-31",{"name":248,"class":46},"First Affiliated Hospital of Zhejiang University",{"id":250,"slug":251,"hasResults":11,"nctId":252,"briefTitle":253,"officialTitle":254,"acronym":255,"eligibilityCriteria":256,"healthyVolunteers":16,"sex":257,"minAge":258,"maxAge":56,"enrollmentInfo":259,"targetDuration":4,"studyType":59,"phases":261,"briefSummary":262,"conditions":263,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":265,"lastUpdatePostDateStruct":266,"startDateStruct":268,"completionDateStruct":270,"leadSponsor":272,"locationsCount":110},"100429209","effects-of-an-evening-protein-preload-on-metabolic-health-in-night-shift-workers-propensity-100429209","NCT04869098","Effects of an Evening PROtein PrEload on Metabolic Health in Night ShIfT Workers (PROPENSITy)","Effects of an Evening PROtein PrEload on Blood Glucose, Metabolic Health, and Gut Hormone Release in Night ShIfT Workers (PROPENSITy)","PROPENSITy","Inclusion Criteria:\n\n* Female\n* Night shift workers (with a minimum of 6 months in their current shift work schedule)\n* 35-65 years\n* BMI 28.0-35.0 kg\u002Fm2; waist circumference \\> 80cm\n* Weight stable in the past 6 months\n\nExclusion Criteria:\n\n* Those working standard day time hours only, or those who work less than three to four night shifts per fortnight on average\n* Personal history and\u002For diagnosis of: diabetes, cancer, major psychiatric disorders, liver disease, gastro-intestinal surgery or disease (including malabsorption), eating disorders, anaemia, insomnia or cardiovascular disease, and\u002For any other condition deemed unstable by the study physician\n* Taking medications known to alter body composition or metabolism, including (but not limited to): any medication used to lower blood glucose or antidiabetic medications (metformin, sulfonylureas, Glucagon-like peptide-1 (GLP-1) analogues \\[i.e. exenatide\\], thiazolidinediones or DPP-IV inhibitors \\[i.e. 'gliptins'\\]), medications affecting weight, appetite or gut motility (i.e. diuretics, domperidone, cisapride, orlistat, phentermine, topiramate)\n* Participants who are taking stable doses (i.e. \\> 12 months) of androgenic medications (i.e. testosterone) or SSRI's will not be excluded. Personal history\u002Fdiagnosis (self-reported) of diabetes (type 1 or 2), major psychiatric disorders (schizophrenia, major depressive disorder, bipolar disorder, eating disorders), gastrointestinal disorders, haematological disorders (i.e. thalassemia, iron-deficiency anaemia) insomnia, or any other medical condition, deemed unstable by the study physician\n* Pregnant, planning a pregnancy or breastfeeding\n* Those who have lost or gained \\>5% of body weight in the last 6 months\n* Those who consume four or more standard drinks on a single occasion at a 'daily or almost daily' occurrence\n* current smokers of cigarettes\u002Fmarijuana\u002Fe-cigarettes\u002Fvaporisers\n* unable to comprehend the study protocol (i.e. due to English language or cognitive difficulties)","FEMALE","35 Years",{"count":260,"type":22},30,[61],"This study will compare the effects of a whey protein supplement or a placebo consumed before the evening meal on health outcomes in night shift workers.",[264,101],"Type 2 Diabetes","2024-12-18",{"date":267,"type":39},"2024-12-24",{"date":269,"type":39},"2021-04-27",{"date":271,"type":22},"2026-07-31",{"name":273,"class":46},"University of Adelaide"]