ClinicalTrials.gg
RecruitingNCT07804680ROACHUpdated Sep 4, 2026

This Study Will Evaluate Cardiorespiratory and Muscular Fitness to Examine Associations With Anthropometric Characteristics and Other Indicators of Cardiometabolic Risk Among Patients With or Without Autism Spectrum Disorder

An observational study in Autism Spectrum Disorder (ASD), Cardiometabolic Health Indicators and Cardiometabolic Risk Factors, sponsored by University of Virginia. Recruiting at 1 site in United States. Open to participants aged 6 Years to 18 Years. Per ClinicalTrials.gov, last updated 2026-09-04.

Sponsored by University of Virginia · Observational

From the registry’s dates

  • Started Aug 2026; still recruiting 3 months later.
Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
200
Ages
6 Years to 18 Years
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 772 studies in Autism Spectrum Disorder with a site in United States — 165 open to participants now, 204 under way, 9 of them phase 3. Autism Spectrum Disorder · United States.

Planned enrollment
49th of 113
200 · median 131
Started
2026
with 45 others
Observational
113 of 772
22 open now
Primary completion
2026-12
later than 60 of 202 live
Registered
765th of 772
by date

Among the 772 studies in Autism Spectrum Disorder with a site in United States, this one is the 49th largest by planned enrollment of the 113 observational ones that give a count, is one of 46 that started in 2026, is one of 113 observational ones, reaches primary completion later than 60 of the 202 other live ones, and was the 765th registered.

Autism Spectrum Disorder

1,724 studies on the registry are indexed under Autism Spectrum Disorder; 500 are open to participants now.

Browse Autism Spectrum Disorder studies →

Open to participants now

165 of the 772 studies in Autism Spectrum Disorder with a site in United States are open now. Recruiting first, the newest first:

159 more — sign in →

All 165 open studies →

A study can be open while its sites in United States have not opened yet or have stopped. Only those recruiting at a site in United States →

Who these studies take

Of the 349 Autism Spectrum Disorder studies recruiting now, 48 (14%) set no upper age limit and 294 (84%) stop at 75 or younger; 297 take children under 18; 92 take healthy volunteers.

This study: 6 Years to 18 Years · all sexes · no healthy volunteers.

The full table on the hub →

This tab as a report to print or save as PDF → With an account.

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Watch this landscapeDownload CSVNarrow it in search →With an account: a weekly mail of what changed among 772 studies in Autism Spectrum Disorder with a site in United States, or all of them as a file.
02

Study summary

The goal of this observational study is to evaluate cardiorespiratory and muscular fitness in children with obesity, with and without autism spectrum disorder (ASD), and examine how fitness relates to body measurements, body composition, and cardiometabolic health. The main questions it aims to answer are:

  • Do children with and without ASD differ in cardiorespiratory fitness and handgrip strength?
  • Are fitness levels related to body composition and measures of cardiometabolic health?

Researchers will compare children with ASD to children without ASD to see if there are differences in fitness, body composition, and cardiometabolic health.

Participants will have information from their medical records reviewed, including:

  • Cardiorespiratory fitness and handgrip strength test results
  • Height, weight, BMI, and body composition measurements
  • Blood test results, including HbA1c and cholesterol levels
  • Age, sex, and other demographic information
Read the detailed description

Pediatric obesity and cardiometabolic health problems are major public health concerns. Children with obesity may have a higher risk of developing conditions such as insulin resistance, prediabetes, abnormal cholesterol levels, high blood pressure, and cardiovascular disease later in life. In clinical practice, body mass index (BMI), body measurements, and blood tests are commonly used to assess health risk. Although these measures provide important information, they do not fully describe how well a child's heart, lungs, and muscles work during physical activity. Cardiorespiratory fitness (CRF) provides information about the body's ability to use oxygen during exercise and reflects the combined function of several body systems. Higher levels of CRF have been associated with better cardiometabolic health and a lower risk of future disease.

Fitness testing is not routinely used in pediatric clinical settings. Traditional CRF testing may require specialized equipment and exercise at maximal intensity, which can be difficult for some children and may not be practical during a routine clinic visit. Simple, clinically feasible tests, such as the 3-minute step test (3MST), may provide a practical way to assess cardiorespiratory fitness without requiring expensive equipment or maximal exercise. Handgrip strength (HGS) testing is another simple measure that can provide information about muscular fitness and physical function. These tests may be especially useful in pediatric populations because they can be completed in a relatively short period of time and require limited equipment.

Research has shown that cardiorespiratory and muscular fitness are related to several measures of cardiometabolic health, including body composition, blood glucose, cholesterol levels, and other risk factors for metabolic and cardiovascular disease. However, less is known about how these fitness measures relate to cardiometabolic health in children with obesity who are evaluated in routine clinical care, particularly among children with autism spectrum disorder (ASD). Children with ASD may have differences in physical activity, motor skills, and participation in exercise that could affect fitness and cardiometabolic health.

This study will examine cardiorespiratory and muscular fitness in children with obesity, with and without ASD. The study will evaluate whether differences in fitness are associated with body measurements, body composition, and markers of cardiometabolic health, including blood glucose and lipid measures. The findings may improve understanding of the relationship between physical fitness and cardiometabolic health in children with obesity and may help determine whether simple fitness assessments can provide useful information during pediatric clinical evaluations. In the future, these assessments may support more individualized exercise recommendations and contribute to strategies for improving long-term cardiometabolic health in children.

03

Conditions studied

  • Autism Spectrum Disorder (ASD)
  • Cardiometabolic Health Indicators
  • Cardiometabolic Risk Factors
  • Metabolic Syndrome
  • Prediabetes

Keywords

  • Cardiorespiratory Fitness
  • Metabolic Syndrome
  • Cardiometabolic Risk Factors
  • Prediabetes
  • Pediatrics
  • Austism Spectrum Disorder
  • Cardiometabolic Health Indicators
  • Fitness Testing
  • Handgrip Strength
  • Muscular Fitness
04

Who can participate

Ages eligible
6 Years to 18 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Obese Pediatrics with or without Autism Spectrum Disorder

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Pediatric patients 6-18 years of age who received care at the Pediatric Endocrinology Diabetes Prevention and Fitness Clinic between January 1 and December 31, 2026.
  • ≥95th percentile for age and sex, consistent with the definition of pediatric obesity.
  • Documented results from cardiorespiratory fitness testing and/or handgrip strength testing.
  • Documented value, when available.
  • Sufficient medical record information to determine ASD status and the primary study outcomes.

Exclusion criteria

Exclusion Criteria:

  • Age \<6 or >18 years at the time of clinical assessment.
  • \<95th percentile for age and sex.
  • Absence of documented cardiorespiratory fitness or handgrip strength testing.
  • Insufficient medical record information to determine ASD status or primary study outcomes.
  • Duplicate or unusable medical records.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

HbA1c

A blood test of average blood sugar over the past two to three months, given as a percentage or in mmol/mol. 6.5% (48 mmol/mol) or more is the usual threshold for diabetes, normally confirmed by a second test.

05

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
200 participants (estimated)
Patient registry
No

Groups and cohorts

  • Pediatrics with Autism Spectrum Disorder

    Obese and Prediabetic

  • Pediatrics without Autism Spectrum Disorder

    Obese and Pediatric

06

What researchers measure

Primary outcomes

  1. Cardiorespiratory Fitness

    Cardiorespiratory Fitness as determined by 3-minute step test results, which includes post 1-minute heartrate per Kasch Pulse Recovery Test

    Time frame: January 1 - December 31 2026

  2. Handgrip Strength

    As defined by handgrip test using hand dynamometer in kilograms

    Time frame: January 1 - December 31 2026

  3. Aerobic Capacity

    Estimation of VO2 max per ml/kg/min derived from results of 3-minute step test

    Time frame: January 1, 2026 to December 31, 2026

Secondary outcomes

  1. Prediabetes

    As defined by HbA1c levels

    Time frame: January 1 - December 31 2026

  2. Cardiometabolic Risk

    As defined by blood pressure

    Time frame: January 1 - December 31 2026

  3. Pediatric Obesity

    As defined by BMI percentile \> 95th percentile

    Time frame: January 1 - December 31 2026

  4. LDL

    As determined by level of low-density lipoprotein

    Time frame: January 1 - December 31 2026

  5. HDL

    As defined by high-density lipoprotein levels

    Time frame: January 1 - December 31 2026

  6. Dyslipidemia

    As defined by levels of Triglycerides

    Time frame: January 1 - December 31 2026

  7. Cholesterolemia

    As defined by level of total cholesterol

    Time frame: January 1 - December 31 2026

  8. RHR

    As defined by resting heart rate in beats per minute

    Time frame: January 1 - December 31 2026

07

Study locations

1 of 1 sites recruiting
08

References and documents

Publications

  • Bonney E, Ferguson G, Smits-Engelsman B. Relationship between Body Mass Index, Cardiorespiratory and Musculoskeletal Fitness among South African Adolescent Girls. Int J Environ Res Public Health. 2018 May 28;15(6):1087. doi: 10.3390/ijerph15061087. PubMed 29843388 ↗
  • Karagianni E, Antoniou V, Dimitriadis Z, Panagiotakos D, Cordovil R, Pepera G. Assessment of Overall Muscle Strength in Children and Adolescents Using Handheld Dynamometry: A Systematic Review of Reference Values and Quality of Data. J Clin Med. 2025 Nov 28;14(23):8454. doi: 10.3390/jcm14238454. PubMed 41375762 ↗
  • Zarate-Osuna F, Zapico AG, Gonzalez-Gross M. Handgrip Strength in Children and Adolescents Aged 3 to 16 Years and Residing in Spain: New Reference Values. Children (Basel). 2025 Apr 6;12(4):471. doi: 10.3390/children12040471. PubMed 40310105 ↗
  • Avitabile CM, Weber DR, Zemel BS. Paediatric dominant and non-dominant handgrip reference curves and the association with body composition. Ann Hum Biol. 2024 Feb;51(1):2298474. doi: 10.1080/03014460.2023.2298474. Epub 2024 Jan 22. PubMed 38293777 ↗
  • Kangalgil M, Meral B, Tiryaki BK, Bayram H. Paediatric handgrip reference curves and the relationship between lower handgrip strength and clinical outcomes of hospitalised children. J Paediatr Child Health. 2025 Feb;61(2):230-236. doi: 10.1111/jpc.16743. Epub 2024 Dec 12. PubMed 39663848 ↗
  • Richardson CG, Opotowsky AR, Chin C, Mays WA, Knecht SK, Powell AW. The Relationship of Handgrip Strength to Body Composition and Cardiopulmonary Fitness in Children and Young Adults. J Pediatr Clin Pract. 2025 Mar 20;16:200144. doi: 10.1016/j.jpedcp.2025.200144. eCollection 2025 Jun. PubMed 40242788 ↗
  • Jankowski M, Niedzielska A, Brzezinski M, Drabik J. Cardiorespiratory fitness in children: a simple screening test for population studies. Pediatr Cardiol. 2015 Jan;36(1):27-32. doi: 10.1007/s00246-014-0960-0. Epub 2014 Jul 29. PubMed 25070386 ↗
  • Gupta P, Kumar B, Banothu KK, Jain V. Assessment of Cardiorespiratory Fitness in 8-to-15-Year-Old Children with Overweight/Obesity by Three-Minute Step Test: Association with Degree of Obesity, Blood Pressure, and Insulin Resistance. Indian J Pediatr. 2023 Dec;90(12):1216-1222. doi: 10.1007/s12098-022-04311-z. Epub 2022 Sep 6. PubMed 36066791 ↗
  • Maggio ABR, Vuistiner P, Crettenand A, Tabin R, Martin XE, Beghetti M, Farpour-Lambert NJ, Deriaz O. Adapting the "Chester step test" to predict peak oxygen uptake in children. Swiss Med Wkly. 2017 May 10;147:w14435. doi: 10.4414/smw.2017.14435. eCollection 2017. PubMed 28634968 ↗
  • Weisstaub G, Gonzalez J, Orizola I, Borquez J, Monsalves-Alvarez M, Lera L, Troncoso R, Sepulveda C. Validity and reliability of the step test to estimate maximal oxygen consumption in pediatric population. Sci Rep. 2025 Jan 2;15(1):592. doi: 10.1038/s41598-024-84336-w. PubMed 39747315 ↗
  • Hayes RM, Maldonado D, Gossett T, Shepherd T, Mehta SP, Flesher SL. Developing and Validating a Step Test of Aerobic Fitness among Elementary School Children. Physiother Can. 2019 Spring;71(2):187-194. doi: 10.3138/ptc.2017-44.pp. PubMed 31040514 ↗
  • American College of Sports Medicine. ACSM's Guidelines for Exercise Testing and Prescription. 12th ed. Ozemek C, Bonikowske AR, Christle JW, Gallo PM, editors. Philadelphia, PA: Wolters Kluwer; 2025.
  • Rollo S, Fraser BJ, Seguin N, Sampson M, Lang JJ, Tomkinson GR, Tremblay MS. Health-Related Criterion-Referenced Cut-Points for Cardiorespiratory Fitness Among Youth: A Systematic Review. Sports Med. 2022 Jan;52(1):101-122. doi: 10.1007/s40279-021-01537-3. Epub 2021 Sep 1. PubMed 34468952 ↗
  • Griffith GJ, Wang AP, Liem RI, Carr MR, Corson T, Ward K. Reference Values for Cardiorespiratory Fitness in Patients Aged 6 to 18 Years. J Pediatr. 2024 Jan;264:113770. doi: 10.1016/j.jpeds.2023.113770. Epub 2023 Oct 5. PubMed 37802386 ↗
  • Ali OI, Sarsak HI, Tarshi MM, Marji M, Aljohani ST, Badawood MN, Bamusallam MM, Alharbi K, Ibrahim ZM, Sheeha BB, Amin WM. Assessment of Hand Grip and Pinch Strengths in Children with Autism Spectrum Disorders: A Cross-Sectional Study. Children (Basel). 2025 Mar 1;12(3):320. doi: 10.3390/children12030320. PubMed 40150602 ↗
  • Bricout VA, Pace M, Dumortier L, Baillieul F, Favre-Juvin A, Guinot M. Reduced Cardiorespiratory Capacity in Children with Autism Spectrum Disorders. J Clin Med. 2018 Oct 16;7(10):361. doi: 10.3390/jcm7100361. PubMed 30332742 ↗
  • Haapala EA, Leppanen MH, Lehti M, Lintu N, Tompuri T, Viitasalo A, Schwab U, Lakka TA. Cross-sectional associations between cardiorespiratory fitness and NMR-derived metabolic biomarkers in children - the PANIC study. Front Endocrinol (Lausanne). 2022 Sep 23;13:954418. doi: 10.3389/fendo.2022.954418. eCollection 2022. PubMed 36213296 ↗
  • Hauser C, Lichtenstein E, Nebiker L, Streese L, Kochli S, Infanger D, Faude O, Hanssen H. Cardiorespiratory fitness and development of childhood cardiovascular risk: The EXAMIN YOUTH follow-up study. Front Physiol. 2023 Aug 23;14:1243434. doi: 10.3389/fphys.2023.1243434. eCollection 2023. PubMed 37680774 ↗
  • Steiman De Visser H, Fast I, Brunton N, Arevalo E, Askin N, Rabbani R, Abou-Setta AM, McGavock J. Cardiorespiratory Fitness and Physical Activity in Pediatric Diabetes: A Systemic Review and Meta-Analysis. JAMA Netw Open. 2024 Feb 5;7(2):e240235. doi: 10.1001/jamanetworkopen.2024.0235. PubMed 38393727 ↗
  • Yu HJ, Cai LB, Yang XH, Yuan S, Li QX, He QQ. Cardiorespiratory Fitness Attenuates the Obesity Risk in Chinese Children Who Have Parents with Overweight/Obesity. J Pediatr. 2018 Sep;200:150-154.e1. doi: 10.1016/j.jpeds.2018.05.015. Epub 2018 Jun 19. PubMed 29934025 ↗
  • Johansson L, Putri RR, Danielsson P, Hagstromer M, Marcus C. Associations between cardiorespiratory fitness and cardiometabolic risk factors in children and adolescents with obesity. Sci Rep. 2023 May 5;13(1):7289. doi: 10.1038/s41598-023-34374-7. PubMed 37147377 ↗
  • Musalek M, Clark CCT, Kokstejn J, Vokounova S, Hnizdil J, Mess F. Impaired Cardiorespiratory Fitness and Muscle Strength in Children with Normal-Weight Obesity. Int J Environ Res Public Health. 2020 Dec 9;17(24):9198. doi: 10.3390/ijerph17249198. PubMed 33317083 ↗
  • Gavotto A, Mura T, Rhodes J, Yin SM, Hager A, Hock J, Guillaumont S, Vincenti M, De La Villeon G, Requirand A, Picot MC, Huguet H, Souilla L, Moreau J, Matecki S, Amedro P. Reference values of aerobic fitness in the contemporary paediatric population. Eur J Prev Cardiol. 2023 Jul 12;30(9):820-829. doi: 10.1093/eurjpc/zwad054. PubMed 36809338 ↗
  • Dykstra BJ, Griffith GJ, Renfrow MS, Mahon AD, Harber MP. Cardiorespiratory and Muscular Fitness in Children and Adolescents with Obesity. Curr Cardiol Rep. 2024 May;26(5):349-357. doi: 10.1007/s11886-024-02036-3. Epub 2024 Mar 9. PubMed 38460068 ↗
  • Raudeniece J, Justamente I, Ozolina-Moll L, Sobolevs A, Zolovs M, Dela F, Reihmane D. Cardiorespiratory Fitness and Body Mass Index as Predictors of Metabolic Syndrome in Schoolchildren (PACH Study). Diabetes Metab Syndr Obes. 2024 Dec 7;17:4675-4687. doi: 10.2147/DMSO.S487309. eCollection 2024. PubMed 39665085 ↗
  • Henriksson H, Henriksson P, Tynelius P, Ekstedt M, Berglind D, Labayen I, Ruiz JR, Lavie CJ, Ortega FB. Cardiorespiratory fitness, muscular strength, and obesity in adolescence and later chronic disability due to cardiovascular disease: a cohort study of 1 million men. Eur Heart J. 2020 Apr 14;41(15):1503-1510. doi: 10.1093/eurheartj/ehz774. PubMed 31710669 ↗
  • Mintjens S, Menting MD, Daams JG, van Poppel MNM, Roseboom TJ, Gemke RJBJ. Cardiorespiratory Fitness in Childhood and Adolescence Affects Future Cardiovascular Risk Factors: A Systematic Review of Longitudinal Studies. Sports Med. 2018 Nov;48(11):2577-2605. doi: 10.1007/s40279-018-0974-5. PubMed 30144022 ↗
  • Kokkinos P, Myers J. Exercise and physical activity: clinical outcomes and applications. Circulation. 2010 Oct 19;122(16):1637-48. doi: 10.1161/CIRCULATIONAHA.110.948349. No abstract available. PubMed 20956238 ↗
  • Kawano M, Shono N, Yoshimura T, Yamaguchi M, Hirano T, Hisatomi A. Improved cardio-respiratory fitness correlates with changes in the number and size of small dense LDL: randomized controlled trial with exercise training and dietary instruction. Intern Med. 2009;48(1):25-32. doi: 10.2169/internalmedicine.48.1527. Epub 2009 Jan 1. PubMed 19122353 ↗
  • Lavie CJ, Church TS, Milani RV, Earnest CP. Impact of physical activity, cardiorespiratory fitness, and exercise training on markers of inflammation. J Cardiopulm Rehabil Prev. 2011 May-Jun;31(3):137-45. doi: 10.1097/HCR.0b013e3182122827. PubMed 21427600 ↗
  • Arsenault BJ, Lachance D, Lemieux I, Almeras N, Tremblay A, Bouchard C, Perusse L, Despres JP. Visceral adipose tissue accumulation, cardiorespiratory fitness, and features of the metabolic syndrome. Arch Intern Med. 2007 Jul 23;167(14):1518-25. doi: 10.1001/archinte.167.14.1518. PubMed 17646606 ↗
  • Lang JJ, Prince SA, Merucci K, Cadenas-Sanchez C, Chaput JP, Fraser BJ, Manyanga T, McGrath R, Ortega FB, Singh B, Tomkinson GR. Cardiorespiratory fitness is a strong and consistent predictor of morbidity and mortality among adults: an overview of meta-analyses representing over 20.9 million observations from 199 unique cohort studies. Br J Sports Med. 2024 May 2;58(10):556-566. doi: 10.1136/bjsports-2023-107849. PubMed 38599681 ↗
  • Farrell SW, Finley CE, Haskell WL, Grundy SM. Is There a Gradient of Mortality Risk among Men with Low Cardiorespiratory Fitness? Med Sci Sports Exerc. 2015 Sep;47(9):1825-32. doi: 10.1249/MSS.0000000000000608. PubMed 25551401 ↗
  • Barlow CE, Defina LF, Radford NB, Berry JD, Cooper KH, Haskell WL, Jones LW, Lakoski SG. Cardiorespiratory fitness and long-term survival in "low-risk" adults. J Am Heart Assoc. 2012 Aug;1(4):e001354. doi: 10.1161/JAHA.112.001354. Epub 2012 Aug 24. PubMed 23130161 ↗
  • Fogelholm M. Physical activity, fitness and fatness: relations to mortality, morbidity and disease risk factors. A systematic review. Obes Rev. 2010 Mar;11(3):202-21. doi: 10.1111/j.1467-789X.2009.00653.x. Epub 2009 Sep 9. PubMed 19744231 ↗
  • McAuley P, Myers J, Emerson B, Oliveira RB, Blue CL, Pittsley J, Froelicher VF. Cardiorespiratory fitness and mortality in diabetic men with and without cardiovascular disease. Diabetes Res Clin Pract. 2009 Sep;85(3):e30-3. doi: 10.1016/j.diabres.2009.05.012. Epub 2009 Jun 12. PubMed 19524317 ↗
  • Church TS, Cheng YJ, Earnest CP, Barlow CE, Gibbons LW, Priest EL, Blair SN. Exercise capacity and body composition as predictors of mortality among men with diabetes. Diabetes Care. 2004 Jan;27(1):83-8. doi: 10.2337/diacare.27.1.83. PubMed 14693971 ↗
  • Kokkinos PF, Faselis C, Myers J, Panagiotakos D, Doumas M. Interactive effects of fitness and statin treatment on mortality risk in veterans with dyslipidaemia: a cohort study. Lancet. 2013 Feb 2;381(9864):394-9. doi: 10.1016/S0140-6736(12)61426-3. Epub 2012 Nov 28. PubMed 23199849 ↗
  • Faselis C, Doumas M, Pittaras A, Narayan P, Myers J, Tsimploulis A, Kokkinos P. Exercise capacity and all-cause mortality in male veterans with hypertension aged >/=70 years. Hypertension. 2014 Jul;64(1):30-5. doi: 10.1161/HYPERTENSIONAHA.114.03510. Epub 2014 May 12. PubMed 24821944 ↗
  • Kokkinos P, Manolis A, Pittaras A, Doumas M, Giannelou A, Panagiotakos DB, Faselis C, Narayan P, Singh S, Myers J. Exercise capacity and mortality in hypertensive men with and without additional risk factors. Hypertension. 2009 Mar;53(3):494-9. doi: 10.1161/HYPERTENSIONAHA.108.127027. Epub 2009 Jan 26. PubMed 19171789 ↗
  • Swift DL, Lavie CJ, Johannsen NM, Arena R, Earnest CP, O'Keefe JH, Milani RV, Blair SN, Church TS. Physical activity, cardiorespiratory fitness, and exercise training in primary and secondary coronary prevention. Circ J. 2013;77(2):281-92. doi: 10.1253/circj.cj-13-0007. Epub 2013 Jan 18. PubMed 23328449 ↗
  • Myers J, McAuley P, Lavie CJ, Despres JP, Arena R, Kokkinos P. Physical activity and cardiorespiratory fitness as major markers of cardiovascular risk: their independent and interwoven importance to health status. Prog Cardiovasc Dis. 2015 Jan-Feb;57(4):306-14. doi: 10.1016/j.pcad.2014.09.011. Epub 2014 Sep 28. PubMed 25269064 ↗
  • Kodama S, Saito K, Tanaka S, Maki M, Yachi Y, Asumi M, Sugawara A, Totsuka K, Shimano H, Ohashi Y, Yamada N, Sone H. Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. JAMA. 2009 May 20;301(19):2024-35. doi: 10.1001/jama.2009.681. PubMed 19454641 ↗
  • Myers J, Prakash M, Froelicher V, Do D, Partington S, Atwood JE. Exercise capacity and mortality among men referred for exercise testing. N Engl J Med. 2002 Mar 14;346(11):793-801. doi: 10.1056/NEJMoa011858. PubMed 11893790 ↗
  • Ross R, Blair SN, Arena R, Church TS, Despres JP, Franklin BA, Haskell WL, Kaminsky LA, Levine BD, Lavie CJ, Myers J, Niebauer J, Sallis R, Sawada SS, Sui X, Wisloff U; American Heart Association Physical Activity Committee of the Council on Lifestyle and Cardiometabolic Health; Council on Clinical Cardiology; Council on Epidemiology and Prevention; Council on Cardiovascular and Stroke Nursing; Council on Functional Genomics and Translational Biology; Stroke Council. Importance of Assessing Cardiorespiratory Fitness in Clinical Practice: A Case for Fitness as a Clinical Vital Sign: A Scientific Statement From the American Heart Association. Circulation. 2016 Dec 13;134(24):e653-e699. doi: 10.1161/CIR.0000000000000461. Epub 2016 Nov 21. PubMed 27881567 ↗
09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Aug 2026 (actual). Primary completion is estimated for Dec 2026, 4 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Aug 18, 2026
First posted
Sep 4, 2026
StartActual
Aug 5, 2026
Primary completionEst.
Dec 31, 2026
CompletionEst.
Jan 31, 2027
Last update
Sep 4, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 4, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07804680
Responsible party
Aaron P. Meadows (Exercise Physiologist, University of Virginia) — Principal investigator
First posted
Sep 4, 2026
Start date
Aug 5, 2026
Primary completion
Dec 31, 2026 (estimated)
Completion
Jan 31, 2027 (estimated)
Last update
Sep 4, 2026

Study contacts

Aaron Meadows, MMed
Contact
fzj8tx@uvahealth.org
434-924-0395

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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