[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"sleep-duration\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:sleep-duration":32},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,4,0,[8,56,91,128],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":37,"overallStatus":43,"whyStopped":4,"lastUpdateSubmitDate":44,"lastUpdatePostDateStruct":45,"startDateStruct":48,"completionDateStruct":50,"leadSponsor":52,"locationsCount":55},"100643083","effectiveness-of-neomayor-in-improving-cardiovascular-health-100643083",false,"NCT07633392","Effectiveness of NeoMayor in Improving Cardiovascular Health","Effectiveness of NeoMayor in Improving Cardiovascular Health Status in Chilean Adults","NEOMAYOR","Inclusion criteria\n\n* Age between 55 and 75 years\n* Able to read and understand written instructions\n* Ownership of a smartphone and ability to use it independently\n* Physically inactive, defined as performing less than 30 minutes of daily physical activity or less than 2,5 h a week).\n* Intermediate or high cardiovascular risk, defined as the presence of at least three of the following: Hypertension (history diagnosed by specialist or general practitioner or ≥ 140 mmHg systolic or ≥90 mm Hg diastolic blood pressure at baseline or current antihypertensive treatment);Diabetes Mellitus (history diagnosed by specialist or general practitioner or fasting blood glucose ≥126 mg\u002FdL or current pharmacologic treatment);Obesity (BMI ≥30 kg\u002Fm²); Dyslipidaemia (history diagnosed by specialist or general practitioner or lipid-lowering drugs or baseline total cholesterol ≥ 200 mg\u002FdL or LDL cholesterol ≥100 mg\u002FdL).\n\nExclusion Criteria\n\n* Dementia defined as a score in the Mini-ACE \\\u003C 21\n* Significant limitations for independent mobility, including use of assistive devices, frailty, gait instability, or lower-limb painful conditions limiting physical activity\n* Uncorrected hearing or visual impairment preventing adequate use of a smartphone\n* Chronic neurological, psychiatric, or psychological disorders without regular treatment or follow-up.\n* Present severe alcohol or illicit drug use.\n* Severe or terminal illness.","ALL","55 Years","75 Years",{"count":21,"type":22},240,"ESTIMATED","INTERVENTIONAL",[25],"NA","This study aims to evaluate the effectiveness of NeoMayor, a mobile health (mHealth) intervention designed to improve cardiovascular health among older adults at elevated cardiovascular risk in Chile. NeoMayor is a smartphone-based application that provides personalized guidance on physical activity, diet, sleep, and mental well-being through a multidomain lifestyle approach.\n\nThis multicenter randomized controlled trial will enroll community-dwelling older adults aged 55 to 75 years recruited from primary healthcare centers in urban and rural settings. Participants will be randomized in a 2:1 ratio to either the NeoMayor intervention or a control group receiving standard health information and usual care. The intervention duration will be four months.\n\nThe primary objective is to determine whether the NeoMayor intervention improves cardiovascular health as measured by the Life's Essential 8 Cardiovascular Health Index. Secondary objectives include evaluating changes in cognitive performance, depressive symptoms, anxiety symptoms, quality of life and physical performance outcomes. The study will also assess feasibility and adherence to digital intervention.",[28,29,30,31,32,33,34,35,36],"Cardiovascular Health Status","Smoking Status","Physical Activity","Diet Quality","Sleep Duration","Body Mass Index","Blood Pressure","LDL Cholesterol","Fasting Glucose",[38,39,40,41,42],"Cardiovascular Health Index","cardiovascular risk","Life's Essential 8","mhealth","older adults","NOT_YET_RECRUITING","2026-06-12",{"date":46,"type":47},"2026-06-16","ACTUAL",{"date":49,"type":22},"2026-09-01",{"date":51,"type":22},"2027-05",{"name":53,"class":54},"University of Chile","OTHER",2,{"id":57,"slug":58,"hasResults":11,"nctId":59,"briefTitle":60,"officialTitle":61,"acronym":62,"eligibilityCriteria":63,"healthyVolunteers":64,"sex":65,"minAge":66,"maxAge":67,"enrollmentInfo":68,"targetDuration":4,"studyType":23,"phases":70,"briefSummary":71,"conditions":72,"keywords":76,"overallStatus":80,"whyStopped":4,"lastUpdateSubmitDate":81,"lastUpdatePostDateStruct":82,"startDateStruct":84,"completionDateStruct":86,"leadSponsor":88,"locationsCount":90},"100632984","changes-in-24-hour-activity-cycle-behaviors-during-a-time-restricted-eating-intervention-in-college-aged-women-100632984","NCT07520786","Changes in 24-hour Activity Cycle Behaviors During a Time-Restricted Eating Intervention in College-Aged Women","DAWGS in Time-Restricted Eating and Activity Trends (DAWG-TREAT)","DAWG-TREAT","Inclusion Criteria:\n\n* Female undergraduate and graduate students\n* Enrolled full-time at University of Georgia\n* Aged 18-26 years\n\nExclusion Criteria:\n\n* having one of the following chronic diseases that maybe impacted by the diet changes: type 1 and 2 diabetes mellitus, cancer, cardiovascular diseases, hypertension, thyroid dysfunction, hepatic\u002Frenal impairment, inflammatory bowel disease and other gastrointestinal diseases,\n* report use of nicotine, thyroid medications, antidepressants, or anti-anxiety medications, melatonin\n* having clinically diagnosed sleep disorders\n* alcohol intake exceeds two drinks per day\n* clinically diagnosed or undiagnosed eating disorders\n* division-1 student athletes\n* pregnant or lactating or plan on getting pregnant within 6 months\n* report major ambulatory disorders,\n* recently (within the past two weeks) engaged in caloric restriction, timing-based dietary changes, weight loss regimens, or adhered to specialized diets such as ketogenic or paleo diets,\n* required to take medication with food, as these factors may interfere with sleep and physical activity outcomes or pose risks to participant health during restricted eating protocols. Students whose habitual eating time windows are \\\u003C10 hours will also not be eligible.",true,"FEMALE","18 Years","26 Years",{"count":69,"type":22},36,[25],"Time-restricted Eating (TRE) is a dietary approach that limits food intake to 4 - 12-hour windows without intentionally altering diet quality. TRE has several benefits including modest reductions in body weight and fat mass, improved glucose control, and reduced inflammatory markers. While research supports the metabolic and weight related benefits of TRE, there is limited evidence of its effects on physical activity (PA), sedentary behavior (SB) and sleep - the core components of 24-hour Activity Cycle (24-HAC), which is a holistic framework that integrates the three health-related activities. TRE research has largely focused on clinical populations, leaving its feasibility and adherence in healthy younger adults understudied. Within this group, college students' misaligned circadian rhythms and unpredictable schedules may make adherence to TRE challenging, highlighting the need for research on its practicality in this group. These outcomes are also particularly important to investigate in women, considering that SB is more prevalent among college-aged women (69%) compared to men (46%). To address these issues, we will conduct a three-week intervention to study the effects of TRE on the 24-HAC outcomes. College aged women will be screened and enrolled, then assigned to either a control or TRE group. Participants in the TRE group will self-select the timing of their 8-hour eating window which they will maintain throughout the study (with compliance on at least six days per week needed to be considered adherent). The control group will receive a basic nutrition education at the start of the study and will have no restriction on eating times. 24 HAC behaviors will be measured continuously for one-week of baseline measurement and throughout the intervention by wrist-worn ActiGraph GT9X monitors. Participants will also record the timing of their first and last meal each day and receive periodic reminders to report their hunger and satiety ratings using visual analog scales.",[73,74,30,75,32],"Sleep Quality","Compliance","Sedentary Behaviors",[77,78,79],"Time restricted eating","Sleep quality","24-Hour activity cycle","RECRUITING","2026-04-02",{"date":83,"type":47},"2026-04-09",{"date":85,"type":47},"2026-02-01",{"date":87,"type":22},"2027-04",{"name":89,"class":54},"University of Georgia",1,{"id":92,"slug":93,"hasResults":11,"nctId":94,"briefTitle":95,"officialTitle":96,"acronym":97,"eligibilityCriteria":98,"healthyVolunteers":64,"sex":17,"minAge":99,"maxAge":100,"enrollmentInfo":101,"targetDuration":4,"studyType":23,"phases":103,"briefSummary":104,"conditions":105,"keywords":109,"overallStatus":80,"whyStopped":4,"lastUpdateSubmitDate":118,"lastUpdatePostDateStruct":119,"startDateStruct":121,"completionDateStruct":123,"leadSponsor":125,"locationsCount":127},"100542308","effect-of-sleep-extension-on-body-weight-and-learning-in-children-more2sleep-100542308","NCT06341179","Effect of Sleep Extension on Body Weight and Learning in Children (More2Sleep)","A Randomized Controlled Trial of Sleep Extension to Regulate Body Weight and Improve Learning in School-aged Children","More2Sleep","Inclusion Criteria:\n\n* Age: 6-12 years old (inclusive range).\n* Weight status: having a BMI above average, defined as an age- and sex-specific BMI Z-score above zero using reference standards from the WHO.\n* Sleep duration: sleeping ≤9 h\u002Fnight on the basis of sleep diaries filled in by the children's parents, based on recommendations by the American Academy of Sleep Medicine and the Sleep Health Foundation.\n\nExclusion Criteria:\n\n* Any genetic, neurological, endocrinological or psychiatric condition that affects growth, metabolism, eating behaviors, cognitive function, or body weight (for example: dwarfism, epilepsy, attention deficit hyperactivity disorder, head trauma, β-thalassemia, hypothyroid-ism, hyperthyroidism, type I diabetes).\n* Any sleep-related disorder (for example: obstructive sleep apnea, parasomnias, narcolepsy, restless leg syndrome).\n* Regular use of prescribed or over-the-counter medications that influence study outcomes.\n* Irregular school schedule.\n* If a child's parents live separately, the child is allowed to sleep at both households. How-ever, if one of the parents does not wish to carry out the sleep intervention and follow given instructions, then the child should only sleep at their household Friday, Saturday and\u002For Sunday night.\n* In the circumstance where the child does not speak or understand Danish, the child's parents do not have to speak or understand Danish, as long as both parties can speak and understand English.\n* Participation in other research studies.\n* Metal implants and claustrophobia (only for substudy-II).","6 Years","12 Years",{"count":102,"type":22},142,[25],"More2Sleep is a randomized, controlled, parallel trial with two groups (sleep extension vs control) including 142 school-aged children (6-12 years) who have a BMI above average, defined as age- and sex-specific BMI Z-score above zero using WHO reference standards, and habitually sleep for ≤ 9 h\u002Fnight. Data will be collected before and after a 3-month sleep extension intervention, and after a 6-month follow-up (at months 0, 3, and 9). The collection of data is mainly related to the main study. However, some optional examinations will be conducted on a first come, first serve basis, consisting of substudy-I (metabolic mechanisms, n=60) and substudy-II (learning mechanisms, n=142).\n\nThe primary objective is to assess the effects of sleep extension by \\~45 min\u002Fnight, achieved by going to bed 60-90 min earlier, on adiposity and learning ability in school-aged children who have a BMI for age and sex above average, and sleep less than recommended for their age.",[32,106,107,108],"Child Obesity","Child Development","Child Behavior",[110,78,111,112,113,114,115,116,117],"Sleep duration","Overweight and Obesity","Energy Intake","Child Development and Behavior","Well-being","Cognitive Function","Learning Ability","Memory","2025-11-19",{"date":120,"type":47},"2025-11-25",{"date":122,"type":47},"2024-08-13",{"date":124,"type":22},"2028-12-31",{"name":126,"class":54},"University of Copenhagen",3,{"id":129,"slug":130,"hasResults":11,"nctId":131,"briefTitle":132,"officialTitle":133,"acronym":4,"eligibilityCriteria":134,"healthyVolunteers":11,"sex":17,"minAge":66,"maxAge":4,"enrollmentInfo":135,"targetDuration":4,"studyType":23,"phases":137,"briefSummary":138,"conditions":139,"keywords":4,"overallStatus":80,"whyStopped":4,"lastUpdateSubmitDate":143,"lastUpdatePostDateStruct":144,"startDateStruct":146,"completionDateStruct":148,"leadSponsor":150,"locationsCount":90},"100475771","sleepless-at-scripps-an-inpatient-white-noise-study-100475771","NCT05475262","Sleepless at Scripps: An Inpatient White Noise Study","Sleepless at Scripps: The Use of White Noise to Increase Sleep Duration in Hospitalized Patients, a Prospective Study","Inclusion Criteria:\n\n* Over 18 years old\n* Admitted to inpatient internal medicine service for at least 3 nights\n\nExclusion Criteria:\n\n\\-",{"count":136,"type":22},50,[25],"Sleep is an important part of the healing process, and patients admitted to the hospital often report poor sleep. Patients have difficulty not only falling sleep, but also staying asleep. Prior studies show that hospital noise may be a contributing factor, and in particular, sound level changes (which refers to an increase in sound above the background\u002Fbaseline noise level) may cause arousals from sleep. Based on preliminary data, this study aims to use white noise to reduce the number of relevant sound level changes that occur during a night of sleep in the hospital. Using a randomized, cross-over design, the investigators aim to enroll 45 inpatient adults (age ≥ 65 years) to receive \"active,\" white noise (white noised played at 57-60 decibels) on one night of their stay, and \"inactive,\" white noise (white noise played at 45-50 decibels) on an alternate night. Three major primary outcomes will be investigated - 1) objective sleep duration as measured using actigraphy, 2)objectively measured sleep fragmentation using actigraphy, and 3) subjective sleep quality using the Richards Campbell Sleep Questionnaire. Secondary outcomes will include sound level changes in the room (measured using sound meters), as well as morning blood glucose (for diabetic\u002Fprediabetic patients) and blood pressure measurements. Delirium will be measured twice daily through the inpatient stay in a secondary analysis to compare levels of sleep fragmentation to delirium incidence.",[140,141,142,32],"White Noise","Sleep","Sleep Fragmentation","2024-01-22",{"date":145,"type":47},"2024-01-24",{"date":147,"type":47},"2022-07-28",{"date":149,"type":22},"2027-02-01",{"name":151,"class":54},"Scripps Health"]