[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100591606":3},{"organization":4,"outcomesModule":7,"designInfo":59,"detailedDescription":64,"studyPopulation":64,"armGroups":69,"interventions":81,"overallOfficials":64,"centralContacts":89,"locations":64,"responsibleParty":95,"collaborators":64,"id":99,"slug":64,"hasResults":100,"nctId":101,"briefTitle":102,"officialTitle":102,"acronym":64,"eligibilityCriteria":103,"healthyVolunteers":104,"sex":105,"minAge":106,"maxAge":107,"enrollmentInfo":108,"targetDuration":64,"studyType":111,"phases":112,"briefSummary":114,"conditions":115,"keywords":117,"overallStatus":123,"whyStopped":64,"lastUpdateSubmitDate":124,"lastUpdatePostDateStruct":125,"startDateStruct":128,"completionDateStruct":130,"leadSponsor":132,"locationsCount":64},{"fullName":5,"class":6},"Loughborough University","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":49},[9],{"measure":10,"description":11,"timeFrame":12},"Plasma glucose","Measured using colorimetric assay from venous blood samples","8hours",[14,17,20,23,26,29,31,34,37,40,43,46],{"measure":15,"description":16,"timeFrame":12},"Plasma insulin","Measured using ELISA from venous blood samples",{"measure":18,"description":19,"timeFrame":12},"Plasma osmolality","Measured using freezing point depression from venous blood samples",{"measure":21,"description":22,"timeFrame":12},"Plasma volume change","Determined from haemoglobin and haematocrit measures in blood samples",{"measure":24,"description":25,"timeFrame":12},"Urine volume","Determined from urine samples collected before and after exercise",{"measure":27,"description":28,"timeFrame":12},"Body mass","Determined from weighing participants before and after exercise",{"measure":30,"description":25,"timeFrame":12},"Urine specific gravity\u002Fosmolality",{"measure":32,"description":33,"timeFrame":12},"Rectal temperature","Measured via rectal probe",{"measure":35,"description":36,"timeFrame":12},"Blood pressure","Measured via and automated sphygmomanometer",{"measure":38,"description":39,"timeFrame":12},"Respiratory gas exchanges","Measured via Douglas bag, gas content and volume",{"measure":41,"description":42,"timeFrame":12},"Rate of perceived exertion","using Borg scales (from 6 \\[no effort\\] to 20 \\[maximal effort\\])",{"measure":44,"description":45,"timeFrame":12},"Rate of thermal sensation","using -10 \\[cold\\] to +10 \\[hot\\] scale.",{"measure":47,"description":48,"timeFrame":12},"Feelings of thirst, urge to urinate, GI comfort, and stomach bloatedness","using scales (0 = no feeling, 10 = extreme feeling)",[50,53,56],{"measure":51,"description":52,"timeFrame":12},"N-back task for working memory (cognitive function)","The task will comprise three progressively harder memory loads (1-Back, 2-Back, 3-Back). Each stimulus type will be used in all memory loads. Participants will have to respond using the space bar when they see a stimulus that is presented one, two, or three steps previously, dependent on the load condition.",{"measure":54,"description":55,"timeFrame":12},"Go\u002Fno-go task for response inhibition (cognitive function)","Participants will be instructed to press the space bar when a green image appears onscreen (\"go\" stimulus) and to inhibit responding when a red image is presented (the \"no-go\" stimulus). Increased commission error responses (i.e. responding incorrectly on a no-go trial) will indicate reduced response inhibition. Commission errors and correct responses will be measured as indices of performance.",{"measure":57,"description":58,"timeFrame":12},"Stroop test","The Stroop Test is a psychological assessment that measures a person's ability to inhibit cognitive interference and control attention. Typically, it involves naming the color of the ink in which a word is printed, even when the word itself names a different color (e.g., the word \"red\" printed in blue ink). The delay in response time when the word and ink color do not match-known as the Stroop effect-reflects the difficulty of suppressing automatic cognitive processes.",{"allocation":60,"interventionModel":61,"interventionModelDescription":62,"primaryPurpose":63,"observationalModel":64,"timePerspective":64,"maskingInfo":65},"RANDOMIZED","CROSSOVER","Randomised, crossover design","BASIC_SCIENCE",null,{"masking":66,"maskingDescription":64,"whoMasked":67},"SINGLE",[68],"OUTCOMES_ASSESSOR",[70,76],{"label":71,"type":72,"description":73,"interventionNames":74},"Hot condition","EXPERIMENTAL","Light exercise in a hot environment with ad libitum water intake",[75],"Other: Hot environment",{"label":77,"type":72,"description":78,"interventionNames":79},"Temperate condition","Light exercise in a temperate environment with ad libitum water intake",[80],"Other: Temperate condition",[82,86],{"type":6,"name":83,"description":84,"armGroupLabels":85,"otherNames":64},"Hot environment","Participants exercising in a 36 degrees celsius environment",[71],{"type":6,"name":77,"description":87,"armGroupLabels":88,"otherNames":64},"Participants exercising in a 18 degrees celsius environment",[77],[90],{"name":91,"role":92,"phone":93,"phoneExt":64,"email":94},"Stephen A Mears, PhD","CONTACT","+44 1509 226391","s.a.mears@lboro.ac.uk",{"type":96,"investigatorFullName":97,"investigatorTitle":98,"investigatorAffiliation":5,"oldNameTitle":64,"oldOrganization":64},"PRINCIPAL_INVESTIGATOR","Stephen Mears","Dr - Senior lecturer","100591606",false,"NCT06982612","Glycemic Control Following Occupational Work in a Hot Environment","Inclusion Criteria:\n\n* Male or female\n* Generally fit and healthy\n* Participate in endurance or intermittent exercise at least 3 times a week or minimum of 150 minutes moderate intensity activity per week\n\nExclusion Criteria:\n\n* Under 18 or 45 and over,\n* any morbidity or medication that might influence carbohydrate\u002Ffat metabolism (i.e., liver\u002Frenal\u002Fcardiovascular disease) or cycling ability (musculoskeletal injury etc),\n* coagulation or bleeding disorders,\n* blood-borne illness,\n* heart conditions,\n* congenital heart disease,\n* uncontrolled exercise-induced asthma,\n* smoking (including vaping),\n* allergies to the products used in the study,\n* dieting or restrained eating behaviours.\n* Females with amenorrhea would be an exclusion criteria.",true,"ALL","18 Years","45 Years",{"count":109,"type":110},20,"ESTIMATED","INTERVENTIONAL",[113],"NA","Occupational workers regularly perform physically demanding tasks in hot environments, exposing them to heat stress and potential dehydration. While the physiological impacts of heat exposure are well-documented, its effects on glycemic control remain less understood. Given the rising global temperatures due to climate change and the increasing prevalence of metabolic disorders such as obesity and type 2 diabetes, it is essential to investigate how heat exposure during work influences glycemic regulation. Understanding these interactions will help inform future occupational health guidelines and metabolic health recommendations in physically demanding industries.",[116],"Plasma Glucose Following Prolonged Heat Exposure",[118,119,120,121,122],"heat","plasma glucose","worker","glycemia","OGTT","NOT_YET_RECRUITING","2025-05-18",{"date":126,"type":127},"2025-05-21","ACTUAL",{"date":129,"type":110},"2025-05",{"date":131,"type":110},"2026-10-01",{"name":5,"class":6}]