AgingNCT04210882
The Effects of Exercise on Sleep and Brain Health
A study testing Moderate-Intensity Exercise in people with Aging and Sleep Disorder, run by Massachusetts General Hospital at 1 site in United States.
Trial summary
Brain health and cognitive functioning can be affected by aging. Exercise is a potentially effective method for promoting "successful brain aging" by improving cardiovascular fitness, brain function and possibly sleep quality. Read more about this study
- Who is it for?
- Ages 50 to 75 yearsHealthy volunteers can take part
- Conditions the study is for
- Aging, Sleep Disorder
- What is being tested?
- Moderate-Intensity Exercise
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 26 participants
- Where
- 1 siteUnited States
- Study dates
- 31 Oct 2019to 4 Aug 2021
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 50 to 75 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Sedentary (≤ two exercise sessions per week for the past 6 months)
- Aged 50 to 75 years old
- Cleared by primary care physician or other personal physician to participate in a 12-week moderate-intensity walking exercise program. Clearance can be provided to one of the study investigators either verbally or in writing.
Who cannot join
- History of neurological illness (e.g. poorly controlled epilepsy with >1 seizure per month in the last 6mo, stroke with residual motor language deficits, Multiple sclerosis, Parkinson's disease, clinically diagnosed dementia [defined as score <26 on the Mini-Mental State Examination], head trauma in the preceding 6-months with continued cognitive symptoms, cerebral palsy, brain tumor, normal-pressure hydrocephalus, HIV infection, or Huntington's disease)
- Untreated Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) Axis I disorders (i.e., severe depressive symptoms, substance abuse or dependence)
- Impaired activities of daily living (ADLs) measured by the Lawton and Brody Self-Maintaining and Instrumental Activities of Daily Living Scale.
- Inability to safely exercise or perform any of the tests
- Inability to perform the cognitive tests due to lack of English proficiency
- Known diagnosis of severe sleep apnea (apnea-hypopnea index ≥ 15/hour of sleep)
- Subject fails Cardiopulmonary Exercise Testing (CPET), i.e. develops symptoms such as shortness of breath, chest pain, palpitations, lightheadedness, or syncope during CPET testing
- Patients with a pacemaker or an automatic implantable cardioverter-defibrillator.
Trial locations and contacts
1 site in 1 country.
United States1 site
Massachusetts General Hospital
Boston, Massachusetts, 02114
About this study
Brain health and cognitive functioning can be affected by aging. Exercise is a potentially effective method for promoting "successful brain aging" by improving cardiovascular fitness, brain function and possibly sleep quality. This project will measure the effects of exercise on brain health and attempt to develop a better way to track brain health, by measuring brain activity during sleep.
Read the detailed description
There exists a critical need to develop biomarkers of brain age and for scientifically proven interventions to improve brain health. Previously, a machine learning algorithm, the Brain Age Index (BAI), was developed to predict brain age (BA) based on 510 features derived from an overnight sleep EEG. The algorithm reports how old an individual's sleeping brain activity "looks", called the "brain age" (BA), and compares this with the chronological age (CA). The difference is the BAI: BAI = BA-CA. Prior work suggests that patients with significant neurological or psychiatric disease or hypertension and diabetes exhibit a mean excess brain age, or "brain age index" (BAI), of 4 and 3.5 years relative to healthy controls. Moreover, it has been shown that high BAI is an independent predictor of mortality. Each extra year of BAI yields a 3.3% relative increase in the risk of death. Work from other groups suggest that exercise is potentially effective for promoting "successful brain aging".
Studies of exercise effects on cognition include a metanalysis of 18 prior studies that analyzed the results of exercise on cognitive function in older adults. It was found that aerobic fitness training improved performance across several cognitive domains, including executive function, cognitive control, spatial processing, and processing speed, with an average improvement across studies and across all domains of 0.5 standard deviations relative to controls. Improvement was greatest for executive and control processes. The degree of improvement was also related to the length of the fitness-training intervention, duration of training sessions, and gender (females appeared to benefit more). Studies of exercise effects on brain structure include a prior study that enrolled 35 older adults (14 with Mild Cognitive Impairment, 16 healthy controls) to participate in a 12-week moderate-intensity walking program. Subjects' VO2max increased by an average of 8.49%. The degree to which cardiorespiratory fitness (V̇O2peak) improved due to the intervention was strongly positively correlated with widespread changes in cortical thickness. Taken together, these and other studies suggest that aerobic exercise may be an effective intervention to counteract cortical atrophy due to aging and disease and might provide protection against future cognitive decline in at-risk older adults.
This study hypothesizes that cognitive performance will increase after 12 weeks of regular exercise (1a), EEG-based BAI will be lower after 12 weeks of regular exercise (1b), and improvements of cognitive measures are predictable from changes in BAI (1c). Additionally, it is hypothesized that an excess BAI will correlate with poor sleep quality, higher pre-existing comorbidities, poor diet, and small social network (2). Sedentary subjects who undergo the 12-week exercise training program are anticipated to show measurable improvements in EEG-based brain age and cognitive function, and that the degree of improvement will be related to the degree of improvement in aerobic fitness. This study will provide preliminary data to support a larger and longer longitudinal study designed to 1) Clinically validate novel, low-cost, and patient-friendly EEG-based biomarkers of brain health; and 2) Assess the effectiveness of interventions aimed at preserving and improving brain health and ultimately extending healthspan.
- Conditions
- Aging, Sleep Disorder
- Being tested
- Moderate-Intensity Exercise
- Keywords
- Cardiovascular, Neuroscience, Exercise
- Medical subject headings
- Sleep Wake Disorders, Motor Activity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Moderate-Intensity ExerciseBehavioural
See description of study arm.
| Study group | Role | What they receive |
|---|---|---|
| 12-week Moderate-Intensity Exercise Program | Experimental | Exercise intervention: Participants will complete 57 total sessions of moderate-intensity exercise (walking while tracking heart rate) over 12 weeks. Exercise intensity, frequency, and session duration will increase during the first 4 weeks of the intervention until participants are completing five (5) sessions weekly and walking for 30 min each session at 60-75% of Heart Rate Reserve (HRR) (moderate-intensity exercise), as follows:
Week 1: Three sessions, lasting ≥ 15 minutes, at 50-75% of HRR; Week 2: Four sessions, lasting ≥ 20 minutes, at 50-75% of HRR; Week 3: Five sessions, lasting ≥ 30 minutes, at 50-75% of HRR; Weeks 4-12: Five sessions, lasting ≥ 30 minutes, at 60-75% of HRR Receives: Behavioral: Moderate-Intensity Exercise |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change from baseline in EEG-based Brain Age (as measured via the Brain Age Index algorithm) after a 12-week aerobic exercise program.
The Brain Age Index (BAI) algorithm reports how old an individual's sleeping brain activity "looks", called the "brain age" (BA), and compares this with the chronological age (CA). The difference is the Brain Age Index (BAI), which is calculated by subtracting the Chronological Age (CA) from the calculated Brain Age (BA): BAI = BA-CA.
A higher BAI can reflect worse clinical outcomes (e.g. increase mortality risk) while a lower BAI can reflect better clinical outcomes.
Measured: Baseline, 12 weeks
Change from baseline in cognitive performance (as measured via the National Institutes of Health (NIH) Toolbox Cognition battery) after a 12-week aerobic exercise program.
The NIH Toolbox Cognition battery is a composite of 7 tests [Picture Vocabulary (PV), Reading Test (RT), Flanker, Dimensional Change Card Sort (DCCS), Picture Sequence Memory (PSM), List Sorting (LS), Pattern Comparison (PC)] assessing language, receptive vocabulary, executive function, attention, working/short-term/episodic memory, cognitive flexibility, processing speed, prior education, verbal intelligence. Uncorrected, Age-corrected, and Fully-Corrected scores (mean =100,100,50 and StdDev=15,15,10 respectively) are calculated for each test. Composite scores are given for Fluid, Crystallized, and overall Cognitive Function. The Fluid Composite Score is derived by averaging the std. scores of the Flanker, DCCS, PSM, LS and PC tests. The Crystallized Composite Score is derived by averaging the std. scores of the PV \& RT. The Cognitive Function Composite Score is derived by averaging the Fluid \& Crystallized std. scores. Higher scores indicate higher levels of cognitive functioning.
Measured: Baseline, 12 weeks
Secondary outcomes (9)
Association between brain age index (BAI) and sleep quality (as measured via a home sleep EEG monitoring device).
EEG signals will be collected via a home sleep monitoring device (Prodigy Sleep System) - a portable, wireless, forehead-mounted monitor that utilizes frontal electrodes. From the EEG, sleep depth and fragmentation (markers of sleep quality) will be measured.
Measured: Weeks 1-12
Association between brain age index (BAI) and sleep quality (as measured via respiration).
Breathing patterns will be measured via a wearable respiratory sensor device (AirGo) as they vary with sleep stage and depth (markers of sleep quality). The Airgo device measures the expansion and recoil of the patient's chest.
Measured: Weeks 1-12
Association between brain age index (BAI) and pre-existing co-morbidity (as measured via the Charlson Co-morbidity Index).
The Charlson Co-morbidity Index (CCI) assesses 17 categories that together evaluates a patient's ten-year survival. Each co-morbidity category has an associated weight (from 1 to 6), based on the adjusted risk of mortality or resource use, and the sum of all the weights result in a single co-morbidity score for a patient. A score of zero indicates that no co-morbidities were found. The higher the score, the more likely the predicted outcome will result in mortality or higher resource use.
Measured: Baseline
Association between brain age index (BAI) and depression (as measured via the Patient Health Questionnaire-2).
The Patient Health Questionnaire scale (PHQ-2) is a 2-item screening measure which ranges from a score of 0 to 6. The higher the score, the more likely there is an underlying depressive disorder.
Measured: Baseline
Association between brain age index (BAI) and anxiety (as measured via the Generalized Anxiety Disorder Questionnaire-2).
The Generalized Anxiety Disorder (GAD-2) is a 2-item screening measure which ranges from a score of 0 to 6. The higher the score, the more likely there is an underlying anxiety disorder.
Measured: Baseline
Association between brain age index (BAI) and diet (as measured via the 14-Q Mediterranean Diet Questionnaire).
The 14-item Mediterranean Diet Adherence Screener (MEDAS) is a brief questionnaire assessing adherence to the Mediterranean diet. It consists of a total of 14 questions that characterize key food groups commonly consumed as part of a traditional Mediterranean diet (12 questions about frequency of food consumption; two questions about food intake habits). Answers are summed to a total Mediterranean diet score ranging from 0 to 14, with higher scores indicating greater adherence.
Measured: Baseline
Association between brain age index (BAI) and social network (as measured via the Social Network Index).
The Cohen's Social Network Index (SNI) assesses the size, diversity, and complexity of a respondent's current social network across 12 types of social relationships. Social network size measures the total number of people with whom the patient has regular contact (at least once every 2 weeks) and is computed by summing across the 12 roles. Social network diversity measures the number of social roles in which the patient has regular with at least 1 person (range 0-12). Social network complexity measures the number of different network domains in which a patient is active (range 0-8). Higher scores represent a larger, more diverse and complex social network.
Measured: Baseline
Association between brain age index (BAI) and social network (as measured via the University of California, Los Angeles Loneliness Scale).
The University of California, Los Angeles (UCLA) Loneliness Scale is a 20-item scale designed to measure one's subjective feelings of loneliness as well as feelings of social isolation (range 20-80). Higher scores indicate greater degrees of loneliness.
Measured: Baseline
Association between brain age index (BAI) and socioeconomic status (as measured via The Hollingshead Four Factor Index of Social Status).
The Hollingshead Four Factor Index of Social Status (Hollingshead, 1975) use education, occupation, sex, and marital status to determine a family's composite social status. Education scores (range 1-7), occupation codes (range 1-9) are weighted by 3 and 5 respectively. Raw scores range from 8 to 66, with higher scores reflecting higher socioeconomic status.
Measured: Baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted26 Dec 2019
- Study start31 Oct 2019
- Primary completion4 Aug 2021
- Study completion4 Aug 2021
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for AgingStudies of the same condition, open and under way.
- More trials run by Massachusetts General HospitalThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 26 participants (actual)
Sponsor and investigators
- Lead sponsor
- Massachusetts General Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Michael Brandon Westover, Massachusetts General Hospital
- Investigators
- M. Brandon Westover, MD/PhD, Principal investigator, Massachusetts General Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04210882
- Sponsor's protocol ID
- 2019P000673
- Status last verified
- Mar 2022
- First submitted
- 2 Dec 2019
- Last updated
- 1 Apr 2022
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 1 Apr 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effects of Exercise on Sleep and Brain Health
- ClinicalTrials.gov ID
- NCT04210882
- Acronym / sponsor ID
- 2019P000673
- Conditions
- Aging, Sleep Disorder
- Keywords
- Cardiovascular, Neuroscience, Exercise
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 26 participants (actual)
- Lead sponsor
- Massachusetts General HospitalUniversity, hospital or other
- Study start
- 31 Oct 2019 (actual)
- Primary completion
- 4 Aug 2021 (actual)
- Study completion
- 4 Aug 2021 (actual)
- First posted
- 26 Dec 2019 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Brain health and cognitive functioning can be affected by aging. Exercise is a potentially effective method for promoting "successful brain aging" by improving cardiovascular fitness, brain function and possibly sleep quality. This project will measure the effects of exercise on brain health and attempt to develop a better way to track brain health, by measuring brain activity during sleep.
Detailed description
There exists a critical need to develop biomarkers of brain age and for scientifically proven interventions to improve brain health. Previously, a machine learning algorithm, the Brain Age Index (BAI), was developed to predict brain age (BA) based on 510 features derived from an overnight sleep EEG. The algorithm reports how old an individual's sleeping brain activity "looks", called the "brain age" (BA), and compares this with the chronological age (CA). The difference is the BAI: BAI = BA-CA. Prior work suggests that patients with significant neurological or psychiatric disease or hypertension and diabetes exhibit a mean excess brain age, or "brain age index" (BAI), of 4 and 3.5 years relative to healthy controls. Moreover, it has been shown that high BAI is an independent predictor of mortality. Each extra year of BAI yields a 3.3% relative increase in the risk of death. Work from other groups suggest that exercise is potentially effective for promoting "successful brain aging".
Studies of exercise effects on cognition include a metanalysis of 18 prior studies that analyzed the results of exercise on cognitive function in older adults. It was found that aerobic fitness training improved performance across several cognitive domains, including executive function, cognitive control, spatial processing, and processing speed, with an average improvement across studies and across all domains of 0.5 standard deviations relative to controls. Improvement was greatest for executive and control processes. The degree of improvement was also related to the length of the fitness-training intervention, duration of training sessions, and gender (females appeared to benefit more). Studies of exercise effects on brain structure include a prior study that enrolled 35 older adults (14 with Mild Cognitive Impairment, 16 healthy controls) to participate in a 12-week moderate-intensity walking program. Subjects' VO2max increased by an average of 8.49%. The degree to which cardiorespiratory fitness (V̇O2peak) improved due to the intervention was strongly positively correlated with widespread changes in cortical thickness. Taken together, these and other studies suggest that aerobic exercise may be an effective intervention to counteract cortical atrophy due to aging and disease and might provide protection against future cognitive decline in at-risk older adults.
This study hypothesizes that cognitive performance will increase after 12 weeks of regular exercise (1a), EEG-based BAI will be lower after 12 weeks of regular exercise (1b), and improvements of cognitive measures are predictable from changes in BAI (1c). Additionally, it is hypothesized that an excess BAI will correlate with poor sleep quality, higher pre-existing comorbidities, poor diet, and small social network (2). Sedentary subjects who undergo the 12-week exercise training program are anticipated to show measurable improvements in EEG-based brain age and cognitive function, and that the degree of improvement will be related to the degree of improvement in aerobic fitness. This study will provide preliminary data to support a larger and longer longitudinal study designed to 1) Clinically validate novel, low-cost, and patient-friendly EEG-based biomarkers of brain health; and 2) Assess the effectiveness of interventions aimed at preserving and improving brain health and ultimately extending healthspan.
Study design
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| 12-week Moderate-Intensity Exercise Program | Experimental | Behavioral: Moderate-Intensity ExerciseExercise intervention: Participants will complete 57 total sessions of moderate-intensity exercise (walking while tracking heart rate) over 12 weeks. Exercise intensity, frequency, and session duration will increase during the first 4 weeks of the intervention until participants are completing five (5) sessions weekly and walking for 30 min each session at 60-75% of Heart Rate Reserve (HRR) (moderate-intensity exercise), as follows: Week 1: Three sessions, lasting ≥ 15 minutes, at 50-75% of HRR; Week 2: Four sessions, lasting ≥ 20 minutes, at 50-75% of HRR; Week 3: Five sessions, lasting ≥ 30 minutes, at 50-75% of HRR; Weeks 4-12: Five sessions, lasting ≥ 30 minutes, at 60-75% of HRR |
Who may qualify
- Ages
- 50 to 75 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- Sedentary (≤ two exercise sessions per week for the past 6 months)
- Aged 50 to 75 years old
- Cleared by primary care physician or other personal physician to participate in a 12-week moderate-intensity walking exercise program. Clearance can be provided to one of the study investigators either verbally or in writing.
Key exclusion criteria (8 listed)
- History of neurological illness (e.g. poorly controlled epilepsy with >1 seizure per month in the last 6mo, stroke with residual motor language deficits, Multiple sclerosis, Parkinson's disease, clinically diagnosed dementia [defined as score <26 on the Mini-Mental State Examination], head trauma in the preceding 6-months with continued cognitive symptoms, cerebral palsy, brain tumor, normal-pressure hydrocephalus, HIV infection, or Huntington's disease)
- Untreated Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) Axis I disorders (i.e., severe depressive symptoms, substance abuse or dependence)
- Impaired activities of daily living (ADLs) measured by the Lawton and Brody Self-Maintaining and Instrumental Activities of Daily Living Scale.
- Inability to safely exercise or perform any of the tests
- Inability to perform the cognitive tests due to lack of English proficiency
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Moderate-Intensity ExerciseSee description of study arm. | Behavioural | 12-week Moderate-Intensity Exercise Program |
Primary outcome
Change from baseline in EEG-based Brain Age (as measured via the Brain Age Index algorithm) after a 12-week aerobic exercise program.
Time frame: Baseline, 12 weeks
The Brain Age Index (BAI) algorithm reports how old an individual's sleeping brain activity "looks", called the "brain age" (BA), and compares this with the chronological age (CA). The difference is the Brain Age Index (BAI), which is calculated by subtracting the Chronological Age (CA) from the calculated Brain Age (BA): BAI = BA-CA. A higher BAI can reflect worse clinical outcomes (e.g. increase mortality risk) while a lower BAI can reflect better clinical outcomes.
Change from baseline in cognitive performance (as measured via the National Institutes of Health (NIH) Toolbox Cognition battery) after a 12-week aerobic exercise program.
Time frame: Baseline, 12 weeks
The NIH Toolbox Cognition battery is a composite of 7 tests [Picture Vocabulary (PV), Reading Test (RT), Flanker, Dimensional Change Card Sort (DCCS), Picture Sequence Memory (PSM), List Sorting (LS), Pattern Comparison (PC)] assessing language, receptive vocabulary, executive function, attention, working/short-term/episodic memory, cognitive flexibility, processing speed, prior education, verbal intelligence. Uncorrected, Age-corrected, and Fully-Corrected scores (mean =100,100,50 and StdDev=15,15,10 respectively) are calculated for each test. Composite scores are given for Fluid, Crystallized, and overall Cognitive Function. The Fluid Composite Score is derived by averaging the std. scores of the Flanker, DCCS, PSM, LS and PC tests. The Crystallized Composite Score is derived by averaging the std. scores of the PV \& RT. The Cognitive Function Composite Score is derived by averaging the Fluid \& Crystallized std. scores. Higher scores indicate higher levels of cognitive functioning.
9 secondary outcomes
Association between brain age index (BAI) and sleep quality (as measured via a home sleep EEG monitoring device).
Time frame: Weeks 1-12
Association between brain age index (BAI) and sleep quality (as measured via respiration).
Time frame: Weeks 1-12
Association between brain age index (BAI) and pre-existing co-morbidity (as measured via the Charlson Co-morbidity Index).
Time frame: Baseline
Association between brain age index (BAI) and depression (as measured via the Patient Health Questionnaire-2).
Time frame: Baseline
Association between brain age index (BAI) and anxiety (as measured via the Generalized Anxiety Disorder Questionnaire-2).
Time frame: Baseline
Association between brain age index (BAI) and diet (as measured via the 14-Q Mediterranean Diet Questionnaire).
Time frame: Baseline
Association between brain age index (BAI) and social network (as measured via the Social Network Index).
Time frame: Baseline
Association between brain age index (BAI) and social network (as measured via the University of California, Los Angeles Loneliness Scale).
Time frame: Baseline
Association between brain age index (BAI) and socioeconomic status (as measured via The Hollingshead Four Factor Index of Social Status).
Time frame: Baseline
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 1 Apr 2022.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
M. Brandon Westover, MD/PhD principal investigator
Massachusetts General Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Moderate-Intensity Exercise in people with Aging and Sleep Disorder, run by Massachusetts General Hospital at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 1 Apr 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change from baseline in EEG-based Brain Age (as measured via the Brain Age Index algorithm) after a 12-week aerobic exercise program. (time frame: Baseline, 12 weeks). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 1 Apr 2022.