Int J Sports Med
DOI: 10.1055/a-2795-9380
Training & Testing

Responsiveness of Health-Related Field-Based Physical Fitness Tests in Adults: The ADULT-FIT Project

Autor*innen

  • Magdalena Cuenca-Garcia

    1   GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain (Ringgold ID: RIN152700)
    2   Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, Spain (Ringgold ID: RIN567780)
  • Carolina Cruz-León

    1   GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain (Ringgold ID: RIN152700)
    2   Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, Spain (Ringgold ID: RIN567780)
  • José Jiménez-Iglesias

    1   GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain (Ringgold ID: RIN152700)
    2   Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, Spain (Ringgold ID: RIN567780)
    3   Sport Science Department, Cádiz C.F., Cádiz, Spain (Ringgold ID: RIN152700)
  • Sandra Sánchez-Parente

    1   GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain (Ringgold ID: RIN152700)
    2   Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, Spain (Ringgold ID: RIN567780)
  • Víctor Segura-Jiménez

    1   GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain (Ringgold ID: RIN152700)
    2   Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, Spain (Ringgold ID: RIN567780)
    4   UGC Medicina Física y Rehabilitación, Hospital Universitario Virgen de las Nieves, Granada, Spain
    5   Instituto de Investigación Biosanitaria ibs. GRANADA, Granada, Spain
  • Francisco B. Ortega

    6   Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain (Ringgold ID: RIN152683)
    7   CIBEROBN Physiopathology of Obesity and Nutrition, Granada, Spain (Ringgold ID: RIN541605)
    8   Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland (Ringgold ID: RIN4168)
  • José Castro-Piñero

    1   GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, Spain (Ringgold ID: RIN152700)
    2   Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, Spain (Ringgold ID: RIN567780)

This project was supported by the Ministry of Economy, Industry and Competitiveness in the 2017 call for R&D Projects of the State Program for Research, Development and Innovation Targeting the Challenges of the Company, the National Plan for Scientific and Technical Research and Innovation 2013–2016 (DEP2017-88043-R) and the National Plan for Scientific and Technical Research and Innovation 2017-2020 (PN/EPIF-FPU-CT/FPU20/02938).

Abstract

The aim of the present study was to determine the responsiveness of health-related field-based physical fitness tests in adults. A total of 62 non-active participants aged 18–64 years were randomized into the intervention (n = 31) and control (n = 31) groups. The exercise program included three sessions/wk (60 min per session) of multicomponent exercise training for 12 weeks. The control group continued with their usual routines. Pre–post differences were explored with pairwise comparison analysis of variance for each group. The proportion of responders/non-responders and the percentage of the population that was expected to respond to the intervention were calculated. None of the tests changed pre–post in the control group (all p > 0.05 and Cohen’s d ≤ 0.2). In the intervention group, overall, all tests were found to be responsive (all p < 0.01) after the exercise program with an effects size improvement of moderate to large (all Cohen’s d > 0.50), except the body weight, waist circumference, and handgrip (Cohen’s d ≤ 0.1). In absolute terms, the pre- and post-test differences in the intervention group were –0.94 kg in body weight, –0.84 cm in waist circumference, 1.30 stages in the 20-m shuttle run test, –82.62 s in the 2-km walk test, 62.50 m in the 6-min walk test, –0.33 s in the 6-m gait speed test, –0.71 s in the timed up & go test, –1.23 s in the 4 x 10-m shuttle run test, 1.35 kg in the handgrip test, 17.25 cm in the standing long jump test, 3.62 repetitions in the 30-s sit to stand test and 44.11 s in the prone bridging test. The proportion of individual responders was >46%, while the proportion of the population expected to respond was >85% in most of the tests evaluated, except for the anthropometric and handgrip tests. The proportion of individual responders was>46%, while the proportion of the population expected to respond was>85% in most of the tests evaluated. All the health-related field-based physical fitness tests were found to be responsive following a 12-week multicomponent exercise training program, except the anthropometric and handgrip tests, which were less responsive than the others and might require specifically targeted interventions to respond further.



Publikationsverlauf

Eingereicht: 22. Juli 2025

Angenommen nach Revision: 22. Januar 2026

Accepted Manuscript online:
25. Januar 2026

Artikel online veröffentlicht:
25. Februar 2026

© 2026. Thieme. All rights reserved.

Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany

 
  • References

  • 1 Kaminsky LA, Arena R, Ellingsen Ø. et al. Cardiorespiratory fitness and cardiovascular disease - The past, present, and future. Prog Cardiovasc Dis 2019; 62 (02) 86-93
  • 2 Kodama S, Saito K, Tanaka S. et al. Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. JAMA 2009; 301 (19) 2024-2035
  • 3 García-Hermoso A, Cavero-Redondo I, Ramírez-Vélez R. et al Muscular strength as a predictor of all-cause mortality in an apparently healthy population: A systematic review and meta-analysis of data from approximately 2 Million men and women. Arch Phys Med Rehabil 2018; 99 (10) 2100-2113.e5
  • 4 Harber MP, Kaminsky LA, Arena R. et al. Impact of cardiorespiratory fitness on all-cause and disease-specific mortality: Advances since 2009. Prog Cardiovasc Dis 2017; 60 (01) 11-20
  • 5 Castro-Piñero J, Marin-Jimenez N, Fernandez-Santos JR. et al Criterion-related validity of field-based fitness tests in adults: A systematic review. J Clin Med 2021; 10 (16) 3743
  • 6 Marin-Jimenez N, Cruz-Leon C, Sanchez-Oliva D. et al. Criterion-related validity of field-based methods and equations for body composition estimation in adults: A systematic review. Curr Obes Rep 2022; 11 (04) 336-349
  • 7 Marin-Jimenez N, Cruz-Leon C, Perez-Bey A. et al. Predictive validity of motor fitness and flexibility tests in adults and older adults: A systematic review. J Clin Med 2022; 11 (02) 328
  • 8 Soysal P, Hurst C, Demurtas J. et al. Handgrip strength and health outcomes: Umbrella review of systematic reviews with meta-analyses of observational studies. J Sport Heal Sci 2021; 10 (03) 290-295
  • 9 Cuenca-Garcia M, Marin-Jimenez N, Perez-Bey A. et al. Reliability of field-based fitness tests in adults: A systematic review. Sports Med 2022; 52 (08) 1961-1979
  • 10 Cruz-León C, Marín-Jiménez N, Sánchez-Parente S. et al. Feasibility and Safety in health-related field-based physical fitness tests in adult population: The ADULT-FIT project. https://www.medrxiv.org/content/10.1101/2025.07.27.25332266v1
  • 11 Terwee CB, Bot SDM, de Boer MR. et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 2007; 60 (01) 34-42
  • 12 Aktar B, Balci B, Oztura I. et al. The test-retest reliability and minimal detectable change of the six-minute walk test, timed up and go test, and 30-second chair stand test in people with epilepsy. Physiother Theory Pract 2024; 40: 2298-2407
  • 13 Perera S, Mody SH, Woodman RC. et al. Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc 2006; 54 (05) 743-749
  • 14 Labott BK, Bucht H, Morat M. et al. Effects of Exercise Training on Handgrip Strength in Older Adults: A Meta-Analytical Review. Gerontology 2019; 65 (06) 686-698
  • 15 Holland AE, Spruit MA, Troosters T. et al, An official European Respiratory Society/American Thoracic Society technical standard: field walking tests in chronic respiratory disease. Eur Respir J 2014; 44 (06) 1428-1446
  • 16 O’Keeffe ST, Lye M, Donnellan C, Carmichael DN. Reproducibility and responsiveness of quality of life assessment and six minute walk test in elderly heart failure patients. Heart 1998; 80 (04) 377-382
  • 17 Bellet RN, Adams L, Morris NR. The 6-minute walk test in outpatient cardiac rehabilitation: validity, reliability and responsiveness – a systematic review. Physiotherapy 2012; 98 (04) 277-286
  • 18 Alfonso-Rosa RM, Del Pozo-Cruz B, Del Pozo-Cruz J, Sañudo B, Rogers ME. Test-retest reliability and minimal detectable change scores for fitness assessment in older adults with type 2 diabetes. Rehabil Nurs 2014; 39 (05) 260-268
  • 19 Bohannon RW. Test-Retest reliability of measurements of hand-grip strength obtained by dynamometry from older adults: A systematic review of research in the PubMed database. J Frailty Aging 2017; 6 (02) 83-87
  • 20 Wewege M, van den Berg R, Ward RE, Keech A. The effects of high-intensity interval training vs. moderate-intensity continuous training on body composition in overweight and obese adults: a systematic review and meta-analysis. Obes Rev 2017; 18 (06) 635-646
  • 21 Marfell-Jones M, Olds T, Stewart A. et al. ISAK Accreditation Handbook. (ISAK Accreditation Handbook.). International Society for the Advancement of Kinanthropometry (ISAK) 2006
  • 22 Leger LA, Mercier D, Gadoury C, Lambert J. The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci 1988; 6 (02) 93-101
  • 23 Oja P, Laukkanen R, Pasanen M, Tyry T, Vuori I. A 2-km walking test for assessing the cardiorespiratory fitness of healthy adults. Int J Sports Med 1991; 12 (04) 356-362
  • 24 Mänttäri A, Suni J, Sievänen H. et al. Six-minute walk test: a tool for predicting maximal aerobic power (VO2 max) in healthy adults. Clin Physiol Funct Imaging 2018; 38: 1038-1045
  • 25 Rikli RE, Jones CJ. Development and validation of a functional fitness test for community-residing older adults. J Aging Phys Act 1999; 7 (02) 129-161
  • 26 Woo J, Yau F, Leung J, Chan R. Peak oxygen uptake, six-minute walk distance, six-meter walk speed, and pulse pressure as predictors of seven year all-cause and cardiovascular mortality in community-living older adults. Exp Gerontol 2019; 124: 110645
  • 27 Ruiz JR, Castro-Piñero J, España-Romero V. et al. Field-based fitness assessment in young people: the ALPHA health-related fitness test battery for children and adolescents. Br J Sports Med 2011; 45 (06) 518-24
  • 28 Ruiz-Ruiz J, Mesa JL, Gutiérrez A, Castillo MJ. Hand size influences optimal grip span in women but not in men. J Hand Surgery Am 2002; 27: 897-901
  • 29 Rodríguez-Perea Á, Aragón-Aragón P, Cuenca-García M. et al. Criterion-related validity and reliability of the front plank test in adults: The ADULT-FIT Project. Appl Sci 2025; 15 (05) 2722
  • 30 Edwards JJ, Griffiths M, Deenmamode AHP, O’Driscoll JM. High-intensity interval training and cardiometabolic health in the general population: A systematic review and meta-analysis of randomised controlled trials. Sports Med 2023; 53: 1753-1763
  • 31 Lopez P, Radaelli R, Taaffe DR. et al. Resistance training load effects on muscle hypertrophy and strength gain: Systematic review and network meta-analysis. Med Sci Sports Exerc 2021; 53 (06) 1206-1216
  • 32 Markov A, Hauser L, Chaabene H. Effects of concurrent strength and endurance training on measures of physical fitness in healthy middle-aged and older adults: A systematic review with meta-analysis. Sports Med 2023; 53: 437-55
  • 33 American College of Sports Medicine. Acsm’s guidelines for exercise testing and prescription. 11th ed. PA, USA: Wolters Kluwer; 2022
  • 34 Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc 1982; 14 (05) 377-381
  • 35 El-Amrawy F, Nounou MI. Are currently available wearable devices for activity tracking and heart rate monitoring accurate, precise, and medically beneficial?. Healthcare Inform Res 2015; 21: 315-320
  • 36 Cohen J. Statistical power analysis for the behavioral sciences. New York: The Academies Press; 1988
  • 37 Hopkins WG. A Spreadsheet for Monitoring an Individual’s Changes and Trend. Sportscience 2017; 21: 5-9
  • 38 Bonafiglia JT, Nelms MW, Preobrazenski N. et al. Moving beyond threshold-based dichotomous classification to improve the accuracy in classifying non-responders. Physiol Rep 2018; 6 (22) e13928
  • 39 Hopkins WG. Individual responses made easy. J Appl Physiol 2015; 118: 1444-1446
  • 40 Swinton PA, Hemingway BS, Saunders B. et al. A Statistical Framework to Interpret Individual Response to Intervention: Paving the Way for Personalized Nutrition and Exercise Prescription. Front Nutr 2018; 5: 41
  • 41 Core Team. A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2017
  • 42 Guo Z, Li M, Cai J, Gong W, Liu Y, Liu Z. Effect of high-intensity interval training vs. moderate-intensity continuous training on fat loss and cardiorespiratory fitness in the young and middle-aged a systematic review and meta-analysis. Int J Environ Res Public Health 2023; 20 (06) 4741
  • 43 Keating SE, Johnson NA, Mielke GI, Coombes JS. A systematic review and meta-analysis of interval training versus moderate-intensity continuous training on body adiposity. Obes Rev 2017; 18 (08) 943-964
  • 44 Wilson JM, Marin PJ, Rhea MR, Wilson SMC, Loenneke JP, Anderson JC. Concurrent training: a meta-analysis examining interference of aerobic and resistance exercises. J Strength Cond Res 2012; 26 (08) 2293-2307
  • 45 Sultana RN, Sabag A, Keating SE, Johnson NA. The effect of low-volume high-intensity interval training on body composition and cardiorespiratory fitness: A systematic review and meta-analysis. Sports Med 2019; 49 (11) 1687-16721
  • 46 Clark JE. Diet, exercise or diet with exercise: comparing the effectiveness of treatment options for weight-loss and changes in fitness for adults (18–65 years old) who are overfat, or obese; systematic review and meta-analysis. J Diabetes Metab Disord 2015; 14: 31
  • 47 Laukkanen RMT, Kukkonen-Harjula TK, Oja P, Pasanen ME, Vuori IM. Prediction of change in maximal aerobic power by the 2-km walk test after walking training in middle-aged adults. Int J Sports Med 2000; 21 (02) 113-6
  • 48 Wilken JM, Darter BJ, Goffar SL. et al. Physical performance assessment in military service members. J Am Acad Orthop Surg 2012; 20 Suppl 1 S42-S47
  • 49 Kahraman T, Ozcan Kahraman B, Salik Sengul Y, Kalemci O. Assessment of sit-to-stand movement in nonspecific low back pain: a comparison study for psychometric properties of field-based and laboratory-based methods. Int J Rehabil Res 2016; 39 (02) 165-170
  • 50 Blankevoort CG, van Heuvelen MJG, Scherder EJA. Reliability of Six Physical Performance Tests in Older People With Dementia. Phys Ther 2013; 93 (01) 69-78
  • 51 Bohannon RW, Steffl M, Glenney SS. et al. The prone bridge test: Performance, validity, and reliability among older and younger adults. J Bodyw Mov Ther 2018; 22 (02) 385-389
  • 52 Hopewell S, Chan A-W, Collins GS. et al. CONSORT 2025 statement: updated guideline for reporting randomised trials. BMJ 2025; 389: e081123