Multidimensional Predictive Modeling to Understand Mechanisms of Exercise Response Heterogeneity in Older Adults (M3AX)
M3AX
1 other identifier
interventional
250
1 country
2
Brief Summary
Aging-related functional declines are thought to be caused by hallmark biological processes that ultimately manifest in physical, mental, and metabolic impairments that compromise healthspan and quality of life. Exercise is a multipotent treatment with promise to mitigate most aging hallmarks, but there is substantial variability in exercisƒe responsiveness. Combining endurance and resistance training in alignment with public health guidelines will be used to better understand variable exercise responsiveness in older adults with the ultimate goal of improving each older adult's capacity to attain the many health benefits of exercise.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2025
Longer than P75 for not_applicable
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 27, 2024
CompletedFirst Posted
Study publicly available on registry
July 18, 2024
CompletedStudy Start
First participant enrolled
January 27, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 31, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
August 31, 2029
April 22, 2026
April 1, 2026
3.5 years
June 27, 2024
April 17, 2026
Conditions
Outcome Measures
Primary Outcomes (2)
Cardiorespiratory fitness (CRF)
A primary outcome of this investigation is cardiorespiratory fitness (CRF). The CRF is the amount of oxygen (ml/kg) that is used during exercise and how efficient you are using that oxygen. The exercise used to measure oxygen uptake is a stationary bicycle with increasing intensity until you are able to maintain pace. Your expired air is collected with a mask or mouthpiece and analyzed with an oxygen and carbon dioxide sensor.
23 weeks
Functional muscle quality (fMQ)
A primary outcome of this investigation is functional muscle quality (fMQ). This is a ratio of knee extension strength to thigh leanness. Knee extension strength is the maximum amount of weight you can successfully lift one time. Thigh lean mass is measured with the dual energy x-ray absorptiometry (DEXA). This is a common tool used to measure bone density, but it is very efficient at determining fat and lean masses partitioned in the body.
23 weeks
Secondary Outcomes (5)
Balance
23 weeks
Cognitive performance
23 weeks
Body composition
23 weeks
Metabolic health
23 weeks
Metabolic health
23 weeks
Study Arms (2)
Phase I (12 weeks)
EXPERIMENTALIn Interrogation, all participants will exercise train using an exercise prescription that is in accordance with current public health recommendations. At the end of Phase I participants will be classified into one of four categories: (1) CRF-/fMQ-, 2) CRF-/fMQ+, 3) CRF+/fMQ- and 4) CRF+/fMQ+).
Phase II (10 weeks)
EXPERIMENTALBased on the Phase I categories of responsiveness, exercise training will be boosted in the three groups that are non-responsive in one or both outcomes. CRF-/fMQ+ will receive boosted ET, CRF+/fMQ- will receive boosted RT, and CRF-/fMQ- will receive boosting in both. All three of these classifications will also receive education on wearable device data and other free-living recommendations. Participants classified as CRF+/fMQ+ at the end of Phase I will be randomized to either continue the supervised exercise training or to free-living.
Interventions
ET will consist of 3x/wk training (MWF) with MF being steady state cycling, treadmill, or elliptical at 70-75% HRR for 30 min and the W session being a 20 min high intensity interval session on a cycle ergometer (1 min on/off; 10 cycles) targeting 85-90% HRR. The treadmill and elliptical on M or F will be provided for variety but the mainstay will be cycle ergometry. On MF participants will complete 3 sets x 8-12 repetitions for leg press, knee extension, hamstring curl, chest press, seated row, overhead press, lat pulldown, triceps push-down, and biceps curl in superset fashion \[i.e., alternate between opposing muscle groups without rest (chest press followed by seated row)\] with a 60 s rest between supersets. Sets will be performed with load progression to ensure volitional fatigue in the 8-12 rep range. Core exercises (trunk flexion and extension) will also be included using bodyweight only for 3 sets.
Eligibility Criteria
You may qualify if:
- Male or female aged 60 or above
- Free of chronic disease
- No structured exercise program (2 or more bouts/wk) within previous 12 months
- Cognitively capable of providing informed consent
You may not qualify if:
- Neuromuscular or musculoskeletal disorder that would limit ability to perform the exercise and/or testing bouts
- Cardiopulmonary disorders or reduced breathing capacity
- Metabolic diseases including markers of liver disease (ALT \> 52 U/l) and type 2 diabetes (HbA1C ≥ 6.5, fasting blood glucose ≥ 126 mg/dl)
- Any other disease or disorder that would influence exercise response (e.g., chronic kidney disease, dementia, current cancer diagnosis or within 2 yr remission, cerebrovascular disease)
- History of chemotherapy within 5 years
- Any current infectious disease
- Life expectancy \< 1 year
- Insulin sensitizing/blood glucose lowering agents such as metformin
- High dose statin (dose equivalent to ≥40 mg/d simvastatin)
- Lidocaine allergy
- Regular tobacco use and/or vaping
- Excessive alcohol consumption (3 drinks/d or 7 drinks/wk for females; 4 drinks/d or 14 drinks/wk for males)
- BMI \< 35.0 kg/m2
- Unable to commit to \~6 months required to complete the study
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Florida Institute for Human and Machine Cognitionlead
- University of Floridacollaborator
- Oklahoma Medical Research Foundationcollaborator
Study Sites (2)
Florida Institute for Human and Machine Cognition
Pensacola, Florida, 32502, United States
Oklahoma Medical Research Foundation
Oklahoma City, Oklahoma, 73104, United States
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Marcas Bamman
Florida Institute for Human and Machine Cognition
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- INVESTIGATOR, OUTCOMES ASSESSOR
- Masking Details
- Biospecimen investigators will be blinded from gender and age.
- Purpose
- TREATMENT
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 27, 2024
First Posted
July 18, 2024
Study Start
January 27, 2025
Primary Completion (Estimated)
July 31, 2028
Study Completion (Estimated)
August 31, 2029
Last Updated
April 22, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, CSR
- Time Frame
- Data will be transferred and monitored on the day of acquisition. Data will be identified with unique study identity.
Data Entry and Management System. Regarding the data entry and management system (DEMS) used for data management, we will customize one of the DEMS platforms developed by the team at IHMC using Smartabase, which is a federally approved, secure cloud-based environment we are currently using in other federally funded observational studies and clinical trials. We have experienced Smartabase builders on the team led by Dr. McAdam who will create custom programs and forms for the study that facilitate data collection and entry while also having the infrastructure to provide access to real-time data summaries and comparisons across all performance sites. Importantly, we have established numerous streamlined approaches for direct electronic data transfer to Smartabase from testing instruments (e.g., DXA, metabolic carts, strength dynamometers, EMG systems) via APIs to eliminate manual data entry errors.