Is Self-Reported Physical Fitness Useful for Estimating Fitness Levels in Children and Adolescents? A Reliability and Validity Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Measures
2.1.1. Subjective Measurement Methods (Self-Reported Physical Fitness)
2.1.2. Objective Measurement Methods
Anthropometry
Blood Pressure (BP) Measurements
Physical Fitness Tests
2.2. Data Collection
2.3. Statistical Analysis
2.4. Ethical Considerations
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Ortega, F.B.; Ruiz, J.R.; Castillo, M.J.; Sjöström, M. Physical fitness in childhood and adolescence: A powerful marker of health. Int. J. Obes. 2008, 32, 1–11. [Google Scholar] [CrossRef] [PubMed]
- Ortega, F.B.; Artero, E.G.; Ruiz, J.R.; España-Romero, V.; Jiménez-Pavón, D.; Vicente-Rodriguez, G.; Moreno, L.A.; Manios, Y.; Béghin, L.; Ottevaere, C.; et al. Physical fitness levels among European adolescents: The HELENA study. Br. J. Sports Med. 2011, 45, 20–29. [Google Scholar] [CrossRef] [PubMed]
- Bianco, A.; Jemni, M.; Thomas, E.; Patti, A.; Paoli, A.; Ramos Roque, J.; Palma, A.; Mammina, C.; Tabacchi, G. A systematic review to determine reliability and usefulness of the field-based test batteries for the assessment of physical fitness in adolescents—The ASSO project. Int. J. Occup. Med. Environ. Health 2015, 28, 445–478. [Google Scholar] [CrossRef] [PubMed]
- Caspersen, C.J.; Powell, K.E.; Christenson, G.M. Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Rep. 1985, 100, 126–131. [Google Scholar] [PubMed]
- Elbe, A.M.; Wikman, J.M.; Zheng, M.; Larsen, M.N.; Nielsen, G.; Krustrup, P. The importance of cohesion and enjoyment for the fitness improvement of 8–10-year-old children participating in a team and individual sport school-based physical activity intervention. Eur. J. Sport. Sci. 2017, 17, 343–350. [Google Scholar] [CrossRef] [PubMed]
- Lee, I.M.; Shiroma, E.J.; Lobelo, F.; Puska, P.; Blair, S.N.; Katzmarzyk, P.T.; Lancet Physical Activity Series Working Group. Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy. Lancet 2012, 380, 219–229. [Google Scholar] [CrossRef]
- Ortega, F.B.; Silventoinen, K.; Tynelius, P.; Rasmussen, F. Muscular strength in male adolescents and premature death: Cohort study of one million participants. BMJ 2012, 345, e7279. [Google Scholar] [CrossRef]
- Andersen, L.B.; Harro, M.; Sardinha, L.B.; Froberg, K.; Brage, S.; Anderssen, S.A. Physical activity and clustered cardiovascular risk in children: A cross-sectional study (the European youth heart study). Lancet 2006, 368, 299–304. [Google Scholar] [CrossRef]
- Högström, G.; Nordström, A.; Nordström, P. High aerobic fitness in late adolescence is associated with a reduced risk of myocardial infarction later in life: A nationwide cohort study in men. Eur. Heart J. 2014, 35, 3133–3140. [Google Scholar] [CrossRef]
- Ruiz, J.R.; Espana Romero, V.; Castro Piñero, J.; Artero, E.G.; Ortega, F.B.; Cuenca Garcia, M.; Jiménez Pavón, D.; Chillón, P.; Girela Rejón, M.J.; Mora, J.; et al. Batería ALPHA-Fitness: Test de campo para la evaluación de la condición física relacionada con la salud en niños y adolescentes. Nutr. Hosp. 2011, 26, 1210–1214. [Google Scholar]
- Ombrellaro, K.J.; Perumal, N.; Zeiher, J.; Hoebel, J.; Ittermann, T.; Ewert, R.; Dörr, M.; Keil, T.; Mensink, G.B.M.; Finger, J.D. Socioeconomic correlates and determinants of cardiorespiratory fitness in the general adult population: A systematic review and meta-analysis. Sports Med. Open 2018, 4, 25. [Google Scholar] [CrossRef] [PubMed]
- Ortega, F.B.; Ruiz, J.R.; España-Romero, V.; Vicente-Rodriguez, G.; Martínez-Gómez, D.; Manios, Y.; Béghin, L.; Molnar, D.; Widhalm, K.; Moreno, L.A.; et al. The International Fitness Scale (IFIS): Usefulness of self-reported fitness in youth. Int. J. Epidemiol. 2011, 40, 701–711. [Google Scholar] [CrossRef] [PubMed]
- Álvarez-Gallardo, I.C.; Soriano-Maldonado, A.; Segura-Jiménez, V.; Carbonell-Baeza, A.; Estévez-López, F.; McVeigh, J.G.; Delgado-Fernández, M.; Ortega, F.B. International FItness Scale (IFIS): Construct validity and reliability in women with fibromyalgia: The al-ándalus project. Arch. Phys. Med. Rehabil. 2016, 97, 395–404. [Google Scholar] [CrossRef] [PubMed]
- Ramírez-Vélez, R.; Cruz-Salazar, S.M.; Martínez, M.; Cadore, E.L.; Alonso-Martinez, A.M.; Correa-Bautista, J.E.; Izquierdo, M.; Ortega, F.B.; García-Hermoso, A. Construct validity and test-retest reliability of the International Fitness Scale (IFIS) in Colombian children and adolescents aged 9–17.9 years: The FUPRECOL study. Peer J. 2017, 5, e3351. [Google Scholar] [CrossRef] [PubMed]
- Sanchez-Lopez, M.; Martinez-Vizcaino, V.; Garcia-Hermoso, A.; Jimenez-Pavon, D.; Ortega, F.B. Construct validity and test-retest reliability of the International Fitness Scale (IFIS) in Spanish children aged 9–12 years. Scand. J. Med. Sci. Sports 2015, 25, 543–551. [Google Scholar] [CrossRef]
- Chung, J.W.; Chung, L.M.; Chen, B. The impact of lifestyle on the physical fitness of primary school children. J. Clin. Nurs. 2009, 18, 1002–1009. [Google Scholar] [CrossRef]
- World Health Organization. Core Competencies in Adolescent Health and Development for Primary Care Providers; Geneva SWHO: Geneva, Switzerland, 2015; Volume 58. [Google Scholar]
- Carvalho, H.B.; Moreno, L.A.; Silva, A.M.; Berg, G.; Estrada-Restrepo, A.; González-Zapata, L.I.; De Miguel-Etayo, P.; Delgado, C.A.; Bove, M.I.; de Sousa, M.D.L.R.; et al. Design and objectives of the south american youth/child cardiovascular and environmental (SAYCARE) study. Obesity 2018, 26, S5–S13. [Google Scholar] [CrossRef]
- Marx, R.G.; Menezes, A.; Horovitz, L.; Jones, E.C.; Warren, R.F. A comparison of two time intervals for test-retest reliability of health status instruments. J. Clin. Epidemiol. 2003, 56, 730–735. [Google Scholar] [CrossRef]
- Moreno, L.A.; De Henauw, S.; González-Gross, M.; Kersting, M.; Molnár, D.; Gottrand, F.; Barrios, L.; Sjöström, M.; Manios, Y.; Gilbert, C.C.; et al. Design and implementation of the healthy lifestyle in Europe by nutrition in adolescence cross-sectional study. Int. J. Obes. 2008, 32, S4–S11. [Google Scholar] [CrossRef]
- Gando, Y.; Sawada, S.S.; Kawakami, R.; Momma, H.; Shimada, K.; Fukunaka, Y.; Okamoto, T.; Tsukamoto, K.; Miyachi, M.; Lee, I.M.; et al. Combined association of cardiorespiratory fitness and family history of hypertension on the incidence of hypertension: A long-term cohort study of Japanese males. Hyperten. Res. 2018, 41, 1063–1069. [Google Scholar] [CrossRef]
- Ruiz, J.R.; Cavero-Redondo, I.; Ortega, F.B.; Welk, G.J.; Andersen, L.B.; Martinez-Vizcaino, V. Cardiorespiratory fitness cut points to avoid cardiovascular disease risk in children and adolescents; what level of fitness should raise a red flag? A systematic review and meta-analysis. Br. J. Sports Med. 2016, 50, 1451–1458. [Google Scholar] [CrossRef] [PubMed]
- De Moraes, A.C.F.; Forkert, E.C.O.; Vilanova-Campelo, R.C.; González-Zapata, L.I.; Azzaretti, L.; Iguacel, I.; Huicho, L.; Moliterno, P.; Moreno, L.A.; Carvalho, H.B. Measuring socioeconomic status and environmental factors in the SAYCARE study in South America: Reliability of the methods. Obesity 2018, 26, S14–S22. [Google Scholar] [CrossRef] [PubMed]
- Marcela, G.-G.; Henauw, S.D.; Gottrand, F.; Gilbert, C.; Moreno, L. Manual of Operation the HELENA Study; Prensas e la Universidd de Zaragoza: Zaragoza, Spain, 2013; p. 289. [Google Scholar]
- Herdman, M.; Fox-Rushby, J.; Badia, X. A model of equivalence in the cultural adaptation of HRQoL instruments: The universalist approach. Qual. Life Res. 1998, 7, 323–335. [Google Scholar] [CrossRef] [PubMed]
- Cadenas-Sanchez, C.; Martinez-Tellez, B.; Sanchez-Delgado, G.; Mora-Gonzalez, J.; Castro-Piñero, J.; Löf, M.; Ortega, F.B. Assessing physical fitness in preschool children: Feasibility, reliability and practical recommendations for the PREFIT battery. J. Sci. Med. Sport. 2016, 19, 910–915. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Physical Status: The Use and Interpretation of Anthropometry; Report of a WHO Expert Committee; Technical Report Series; World Health Organization: Geneva, Switzerland, 1995; Volume 854, pp. 1–452. [Google Scholar]
- National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 2004, 114, 555–576. [Google Scholar] [CrossRef]
- Araújo-Moura, K.; De Moraes, A.C.F.; Forkert, E.C.O.; Berg, G.; Cucato, G.G.; Forjaz, C.L.M.; Moliterno, P.; Gaitan-Charry, D.; Delgado, C.A.; González-Gil, E.M.; et al. Is the measurement of blood pressure by automatic monitor in the South American pediatric population accurate? SAYCARE study. Obesity 2018, 26, S41–S46. [Google Scholar] [CrossRef] [PubMed]
- Pickering, T.G.; Hall, J.E.; Appel, L.J.; Falkner, B.E.; Graves, J.; Hill, M.N.; Jones, D.W.; Kurtz, T.; Sheps, S.G.; Roccella, E.J.; et al. Recommendations for blood pressure measurement in humans and experimental animals: Part 1: Blood pressure measurement in humans: A statement for professionals from the subcommittee of professional and public education of the American Heart Association Council on high blood pressure research. Hypertension 2005, 45, 142–161. [Google Scholar] [PubMed]
- Ruiz, J.R.; España-Romero, V.; Ortega, F.B.; Sjöström, M.; Castillo, M.J.; Gutierrez, A. Hand span influences optimal grip span in male and female teenagers. J. Hand Surg. Am. 2006, 31, 1367–1372. [Google Scholar] [CrossRef] [PubMed]
- Ortega, F.B.; Artero, E.G.; Ruiz, J.R.; Vicente-Rodriguez, G.; Bergman, P.; Hagströmer, M.; Ottevaere, C.; Nagy, E.; Konsta, O.; Rey-López, J.P.; et al. Reliability of health-related physical fitness tests in European adolescents. The HELENA Study. Int. J. Obes. 2008, 32, S49–S57. [Google Scholar] [CrossRef] [Green Version]
- Léger, L.A.; Mercier, D.; Gadoury, C.; Lambert, J. The multistage 20 metre shuttle run test for aerobic fitness. J. Sports Sci. 1988, 6, 93–101. [Google Scholar] [CrossRef]
- De Miguel-Etayo, P.; Gracia-Marco, L.; Ortega, F.B.; Intemann, T.; Foraita, R.; Lissner, L.; Oja, L.; Barba, G.; Michels, N.; Tornaritis, M.; et al. Physical fitness reference standards in European children: The IDEFICS study. Int. J. Obes. 2014, 38, S57–S66. [Google Scholar] [CrossRef] [PubMed]
- Hong, H.; Choi, Y.; Hahn, S.; Park, S.K.; Park, B.J. Nomogram for sample size calculation on a straightforward basis for the kappa statistic. Ann. Epidemiol. 2014, 24, 673–680. [Google Scholar] [CrossRef] [PubMed]
- Landis, J.R.; Koch, G.G. The measurement of observer agreement for categorical data. Biometrics 1977, 33, 159–174. [Google Scholar] [CrossRef] [PubMed]
- Kodama, S.; Saito, K.; Tanaka, S.; Maki, M.; Yachi, Y.; Asumi, M.; Sugawara, A.; Totsuka, K.; Shimano, H.; Ohashi, Y.; 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, 2024–2035. [Google Scholar] [CrossRef] [PubMed]
- Lamari, N.M.; Chueire, A.G.; Cordeiro, J.A. Analysis of joint mobility patterns among preschool children. Sao Paulo Med. J. 2005, 123, 119–123. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Medeiros, H.B.; de Araújo, D.S.; de Araújo, C.G. Age-related mobility loss is joint-specific: An analysis from 6,000 Flexitest results. Age 2013, 35, 2399–2407. [Google Scholar] [CrossRef]
- Committee on Physical Activity and Physical Education in the School Environment. Food and Nutrition Board; Institute of Medicine; Kohl, H.W., III, Cook, H.D., Eds.; National Academies Press: Washington, DC, USA, 2013. [Google Scholar]
- Robinson, L.E.; Stodden, D.F.; Barnett, L.M.; Lopes, V.P.; Logan, S.W.; Rodrigues, L.P.; D’Hondt, E. Motor competence and its effect on positive developmental trajectories of health. Sports Med. 2015, 45, 1273–1284. [Google Scholar] [CrossRef]
- Cattuzzo, M.T.; dos Santos Henrique, R.; Ré, A.H.; de Oliveira, I.S.; Melo, B.M.; de Sousa Moura, M.; de Araújo, R.C.; Stodden, D. Motor competence and health related physical fitness in youth: A systematic review. J. Sci. Med. Sport 2016, 19, 123–129. [Google Scholar] [CrossRef]
- Gallahue, D.L.; Ozmun, J.C.; Goodway, D.J. Compreendendo o Desenvolvimento Motor: Bebês, Crianças, Adolescentes e Adultos, 7th ed.; AMGH Artmed: Porto Alegre, Brasil, 2013; p. 487. ISBN 978-85-8055-180-8. [Google Scholar]
- Español-Moya, M.N.; Ramírez-Vélez, R. Psychometric validation of the International FItness Scale (IFIS) in Colombian youth. Rev. Esp. Salud Publica 2014, 88, 271–278. [Google Scholar] [CrossRef]
- Nascimento-Ferreira, M.V.; de Moraes, A.C.F.; Toazza Oliveira, P.V.; Rendo-Urteaga, T.; Gracia-Marco, L.; Forjaz, C.L.M.; Moreno, L.A.; Carvalho, H.B. Assessment of physical activity intensity and duration in the paediatric population: Evidence to support an a priori hypothesis and sample size in the agreement between subjective and objective methods. Obes. Rev. 2018, 19, 810–824. [Google Scholar] [CrossRef]
- Kelly, P.; Fitzsimons, C.; Baker, G. Should we reframe how we think about physical activity and sedentary behaviour measurement? Validity and reliability reconsidered. Int. J. Behav. Nutr. Phys. Act. 2016, 13, 32. [Google Scholar] [CrossRef] [PubMed]
- Chinapaw, M.J.; Mokkink, L.B.; van Poppel, M.N.; van Mechelen, W.; Terwee, C.B. Physical activity questionnaires for youth: A systematic review of measurement properties. Sports Med. 2010, 40, 539–563. [Google Scholar] [CrossRef] [PubMed]
- Nascimento-Ferreira, M.V.; de Moraes, A.C.F.; Toazza-Oliveira, P.V.; Forjaz, C.L.M.; Aristizabal, J.C.; Santaliesra-Pasías, A.M.; Lepera, C.; Nascimento-Junior, W.V.; Skapino, E.; Delgado, C.A.; et al. Reliability and Validity of a Questionnaire for Physical Activity Assessment in South American Children and Adolescents: The SAYCARE Study. Obesity 2018, 26, S23–S30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Scott, J.J.; Morgan, P.J.; Plotnikoff, R.C.; Lubans, D.R. Reliability and validity of a single-item physical activity measure for adolescents. J. Paediatr. Child. Health 2015, 51, 787–793. [Google Scholar] [CrossRef] [PubMed]
- Zaragoza Casterad, J.; Generelo, E.; Aznar, S.; Abarca-Sos, A.; Julián, J.A.; Mota, J. Validation of a short physical activity recall questionnaire completed by Spanish adolescents. Eur. J. Sport Sci. 2012, 12, 283–291. [Google Scholar] [CrossRef]
- Verbestel, V.; de Henauw, S.; Bammann, K.; Barba, G.; Hadjigeorgiou, C.; Eiben, G.; Konstabel, K.; Kovács, E.; Pitsiladis, Y.; Reisch, L.; et al. Are context-specific measures of parental-reported physical activity and sedentary behaviour associated with accelerometer data in 2–9-year-old European children? Public Health Nutr. 2015, 18, 860–868. [Google Scholar] [CrossRef] [PubMed]
- Artero, E.G.; España-Romero, V.; Castro-Piñero, J.; Ortega, F.B.; Suni, J.; Castillo-Garzon, M.J.; Ruiz, J.R. Reliability of field-based fitness tests in youth. Int. J. Sports Med. 2011, 32, 159–169. [Google Scholar] [CrossRef] [PubMed]
- Fletcher, R.H.; Fletcher, S.W.; Fletcher, G. Epidemiologia Clínica: Elementos Essenciais, 5th ed.; Artmed: Porto Alegre, Brasil, 2014; p. 280. ISBN 978-85-8271-067-8. [Google Scholar]
- Szklo, M.; Javier, F.N. Epidemiology: Beyond the Basics, 4th ed.; Burlington: Middlesex, MA, USA, 2018; p. 515. ISBN 978-4496-0469-1. [Google Scholar]
- Poitras, V.J.; Gray, C.E.; Borghese, M.M.; Carson, V.; Chaput, J.P.; Janssen, I.; Katzmarzyk, P.T.; Pate, R.R.; Connor Gorber, S.; Kho, M.E.; et al. Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Appl. Physiol. Nutr. Metab. 2016, 41, S197–S239. [Google Scholar] [CrossRef]
- Klasson-Heggebø, L.; Andersen, L.B.; Wennlöf, A.H.; Sardinha, L.B.; Harro, M.; Froberg, K.; Anderssen, S.A. Graded associations between cardiorespiratory fitness, fatness, and blood pressure in children and adolescents. Br. J. Sports Med. 2006, 40, 25–29. [Google Scholar] [CrossRef]
- Swets, J.A. Measuring the accuracy of diagnostic systems. Science 1988, 240, 1285–1293. [Google Scholar] [CrossRef]
- Shea, S.; Basch, C.E.; Gutin, B.; Stein, A.D.; Contento, I.R.; Irigoyen, M.; Zybert, P. The rate of increase in blood pressure in children 5 years of age is related to changes in aerobic fitness and body mass index. Pediatrics 1994, 94 Pt 1, 465–470. [Google Scholar]
- Reichenheim, M.E.; Moraes, C.L. Operationalizing the cross-cultural adaptation of epidemiological measurement instruments. Rev. Saude Publica 2007, 41, 665–673. [Google Scholar] [CrossRef] [PubMed]
- Salmond, S.S. Evaluating the reliability and validity of measurement instruments. Orthop. Nurs. 2008, 27, 28–30. [Google Scholar] [CrossRef] [PubMed]
Children (n = 190) | Adolescents (n = 110) | |
---|---|---|
Mean or % (SD) | Mean or % (SD) | |
Age | 6.7 (2.1) | 14.6 (1.8) |
Body weight (kg) | 25.8 (11.3) | 51.7 (11.4) |
Height (cm) | 119.1 (15.5) | 158.4 (12.0) |
BMI (kg/m2) | 17.5 (3.4) | 20.7 (5.6) |
Systolic blood pressure (mmHg) | 95.5 (9.9) | 109.9 (5.3) |
Diastolic blood pressure (mmHg) | 64.3 (8.4) | 65.5 (4.0) |
High blood pressure a (%) | 1.9 | 2.9 |
Maternal education level (%) | ||
Incomplete high school | 16.0 | 23.3 |
High school | 21.5 | 40.0 |
Technical education | 8.3 | 6.67 |
University degree | 54.2 | 30.0 |
Components | Children (n = 190) | ||||
Very good % (n) | Good % (n) | Average % (n) | Poor % (n) | Very poor % (n) | |
Overall fitness | 15.8 (30) | 26.8 (51) | 28.4 (54) | 27.9 (53) | 1.1 (2) |
Cardiorespiratory fitness | 12.1 (23) | 24.7 (47) | 31.2 (59) | 28.9 (55) | 3.1 (6) |
Muscular strength | 18.9 (36) | 20.0 (38) | 31.6 (60) | 25.8 (49) | 3.7 (7) |
Speed and agility | 18.9 (36) | 33.7 (64) | 32.6 (62) | 14.3 (27) | 0.5 (1) |
Flexibility | 8.4 (16) | 22.1 (42) | 46.9 (89) | 20.0 (38) | 2.6 (5) |
Components | Adolescents (n = 110) | ||||
Very good % (n) | Good % (n) | Average % (n) | Poor % (n) | Very poor % (n) | |
Overall fitness | 5.5 (6) | 24.5 (27) | 62.7 (69) | 5.5 (6) | 1.8 (2) |
Cardiorespiratory fitness | 9.1 (10) | 18.2 (20) | 50.9 (56) | 15.5 (17) | 6.3 (7) |
Muscular strength | 1.0 (1) | 30.9 (34) | 58.2 (64) | 8.1 (9) | 1.8 (2) |
Speed and agility | 7.3 (8) | 30.9 (34) | 53.6 (59) | 7.3 (8) | 0.9 (1) |
Flexibility | 5.4 (6) | 20.9 (23) | 50.0 (55) | 14.6 (16) | 9.1 (10) |
Components | Children (n = 190) | Adolescents (n = 110) | ||
---|---|---|---|---|
Agreement % | κ | Agreement % | κ | |
Overall fitness | 99.47 | 0.99 | 96.36 | 0.93 |
Cardiorespiratory fitness | 98.95 | 0.98 | 99.18 | 0.97 |
Muscular strength | 96.32 | 0.95 | 96.36 | 0.93 |
Speed and agility | 98.95 | 0.98 | 92.73 | 0.88 |
Flexibility | 95.26 | 0.93 | 93.64 | 0.90 |
Components | Children (n = 190) | Adolescents (n = 110) | ||
---|---|---|---|---|
Agreement % | K | Agreement % | k | |
Overall fitness | 82.63 | 0.60 | 82.73 | 0.49 |
Cardiorespiratory fitness | 86.26 | 0.65 | 81.82 | 0.40 |
Muscular strength | 76.26 | 0.50 | 83.84 | 0.43 |
Speed and agility | 79.47 | 0.50 | 86.36 | 0.54 |
Flexibility | 70.00 | 0.40 | 84.55 | 0.53 |
Components | Children (n = 190) | |||
Sensitivity (95% CI) | Specificity (95% CI) | Prevalence (95% CI) Good/Great AF | Accuracy (95% CI) | |
Overall fitness | 89.60 (85.26–93.94) | 69.23 (62.67–75.79) | 75.79 (69.04–82.54) | 84.05 (78.03–89.80) |
Cardiorespiratory fitness | 95.20 (92.16–98.24) | 66.15 (59.43–72.88) | 67.09 (60.34–73.84) | 85.79 (79.04–88.54) |
Muscular strength | 96.84 (94.36–99.33) | 53.68 (46.59–60.77) | 70.53 (63.78–77.28) | 75.2 3(68.48–77.98) |
Speed and agility | 94.40 (91.13–97.67) | 50.77 (43.66–57.88) | 85.26 (78.51–92.01) | 79.96 (74.21–83.71) |
Flexibility | 94.62 (91.42–97.83) | 46.39 (39.30–53.48) | 77.35 (70.60–84.50) | 70.45 (64.01–73.51) |
Components | Adolescents (n = 110) | |||
Sensitivity (95% CI) | Specificity (95% CI) | Prevalence (95% CI) Good/Great AF | Accuracy (95% CI) | |
Overall fitness | 95.06 (91.01–99.11) | 48.28 (38.94–57.61) | 92.73 (85.98–99.48) | 83.43 (77.68–86.18) |
Cardiorespiratory fitness | 91.95 (86.87–97.04) | 43.48 (34.21–52.74) | 79.09 (71.49–86.69) | 82.79 (77.04–87.54) |
Muscular strength | 90.70 (85.27–96.13) | 50.00 (40.66–59.34) | 90.00 (83.25–96.75) | 82.38 (76.95–86.45) |
Speed and agility | 95.40 (91.49–99.32) | 52.17 (42.84–61.51) | 91.82 (85.07–98.57) | 75.52 (69.77–78.27) |
Flexibility | 91.46 (86.24–96.69) | 50.00 (40.66–59.34) | 76.85 (70.01–83.60) | 81.55 (75.41–86.69) |
Components | Children (n = 190) | ||||
Very Good | Good | Average | Poor | Very Poor | |
Median (IQR) | Median (IQR) | Median (IQR) | Median (IQR) | Median (IQR) | |
Cardiorespiratory fitness (mt) | 704 (645–880) | 755 (658.5–884.5) | 833 (696–943) | 730 (565–857) | 661 (632–1001) |
Muscular strength (kg) | 11.5 (8–13.5) | 10 (7–13.5) | 8 (6–12) | 6 (4–11.5) | 7 (5.5–9.5) |
Speed and agility (seg) | 13.7 (13.2–15.2) | 14.6 (13.2–17) | 16.1 (13.7–19.7) | 16.9 (14–19) | 17.6 (15.2–24.9) |
Flexibility (cm) | 28 (24 –31) | 23 (20–29) | 24.5 (20–28) | 25 (19–29) | 20 (18.5–24) |
Components | Adolescents (n = 110) | ||||
Very Good | Good | Average | Poor | Very Poor | |
Median (IQR) | Median (IQR) | Median (IQR) | Median (IQR) | Median (IQR) | |
Cardiorespiratory fitness (mt) | 665 (614–768) | 625 (574–750) | 674.5 (616–725.5) | 600 (555.5–766) | 605.5 (620–778) |
Muscular strength (kg) | 19 (16.5–29) | 26.5 (21.5–33) | 23.5 (18–28) | 19.8 (17–23.5) | 14 (23–25) |
Speed and agility (seg) | 8 (4–12.9) | 12.6 (4–14.6) | 12.3 (4–14.2) | 14.1 (12.7–15.6) | 14.6 (14–15) |
Flexibility (cm) | 22 (15–30) | 20.5 (17.5–27) | 22 (16–26) | 18 (15–23) | 18 (7–22) |
Fitness Components | Children (n = 190) | ||
Sensitivity (95% CI) | Specificity (95% CI) | Accuracy (95% CI) | |
Overall fitness | 79.78 (71.66–87.90) | 100.00 (100.00–100.00) | 76.79 (75.55–80.40) |
Cardiorespiratory fitness | 93.26 (88.19–98.33) | 40.00 (30.10–49.90) | 89.00 (86.90–94.40) |
Muscular strength | 88.76 (82.38–95.15) | 80.00 (71.91–88.09) | 87.08 (82.90–90.30) |
Speed and agility | 88.76 (82.38–95.15) | 60.00 (50.10–69.90) | 86.38 (81.12–90.70) |
Flexibility | 78.65 (70.37–86.94) | 100.00 (100.00–100.00) | 74.16 (73.00–80.25) |
Components | Adolescents (n = 110) | ||
Sensitivity (95% CI) | Specificity (95% CI) | Accuracy (95% CI) | |
Overall fitness | 81.48 (68.02–94.94) | 60.00 (43.03–76.97) | 78.88 (65.39–88.57) |
Cardiorespiratory fitness | 85.19 (72.88–97.49) | 60.00 (43.03–76.97) | 81.87 (68.38–91.53) |
Muscular strength | 77.78 (63.37–92.18) | 80.00 (66.14–93.86) | 77.96 (62.07–83.59) |
Speed and agility | 88.89 (78.00–99.78) | 60.00 (43.03–76.97) | 84.37 (71.84–94.05) |
Flexibility | 92.59 (83.52–100.00) | 40.00 (23.03–56.97) | 83.66 (73.29–93.13) |
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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De Moraes, A.C.F.; Vilanova-Campelo, R.C.; Torres-Leal, F.L.; Carvalho, H.B. Is Self-Reported Physical Fitness Useful for Estimating Fitness Levels in Children and Adolescents? A Reliability and Validity Study. Medicina 2019, 55, 286. https://doi.org/10.3390/medicina55060286
De Moraes ACF, Vilanova-Campelo RC, Torres-Leal FL, Carvalho HB. Is Self-Reported Physical Fitness Useful for Estimating Fitness Levels in Children and Adolescents? A Reliability and Validity Study. Medicina. 2019; 55(6):286. https://doi.org/10.3390/medicina55060286
Chicago/Turabian StyleDe Moraes, Augusto César Ferreira, Regina Célia Vilanova-Campelo, Francisco Leonardo Torres-Leal, and Heráclito Barbosa Carvalho. 2019. "Is Self-Reported Physical Fitness Useful for Estimating Fitness Levels in Children and Adolescents? A Reliability and Validity Study" Medicina 55, no. 6: 286. https://doi.org/10.3390/medicina55060286