1
|
Marques A, Demetriou Y, Popovic S, Gardasevic J, Masanovic B, Martins J, Gouveia ÉR, Tsiatsos T, Douka S, Jarani J, Peralta M. Healthy fitness zone prevalence and age-specific fitness profile of young people in seven European countries in 2022: The EUFITMOS project. Am J Hum Biol 2024; 36:e23989. [PMID: 37732555 DOI: 10.1002/ajhb.23989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 09/22/2023] Open
Abstract
BACKGROUND Physical fitness is a health marker in youth and is associated with current and future health. OBJECTIVE Present the healthy fitness zone (HFZ) prevalence and age-specific fitness profile of young people from seven European countries. METHODS This study used data from the European Fitness Monitoring System project. The sample comprised 4965 (51.4% boys) youths aged 9 to 18 years. Fitness data were collected by physical education teachers using field-based tests. Raw data from the fitness tests were used to calculate the prevalence and 95% confidence intervals (CI) of participants in the HFZ. RESULTS The overall prevalence of boys and girls in the HFZ for all tests was 16.6% (95% CI = 14.7, 18.1) and 14.9% (95% CI = 13.2, 16.6), respectively. Boys have a mainly positive HFZ profiles, except for the 9-year-olds in the sit and reach (z-score difference = -1.20) and the 20 m run for boys 13-18-year-olds (z-score difference range: -0.09 to -0.01). Girls have worse HFZ profiles than boys, being out of the HFZ in several tests. Furthermore, a decreasing trend in z-score difference from the HFZ with age was observed in VO2 peak for boys and girls and sit and reach for girls. Notwithstanding, several country-related, sex and age differences were observed. CONCLUSIONS Boys presented mostly healthy age-specific fitness profiles in several fitness tests and ages. These differences should be considered when promoting youth's health through physical activity and fitness, as different fitness levels may require different approaches to implementing health-enhancing physical activity policies.
Collapse
Affiliation(s)
- Adilson Marques
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
- ISAMB, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Yolanda Demetriou
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Stevo Popovic
- Faculty for Sport and Physical Education, University of Montenegro, Podgorica, Montenegro
| | - Jovan Gardasevic
- Faculty for Sport and Physical Education, University of Montenegro, Podgorica, Montenegro
| | - Bojan Masanovic
- Faculty for Sport and Physical Education, University of Montenegro, Podgorica, Montenegro
| | - João Martins
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
- Centro de Estudos em Educação, Faculdade de Motricidade Humana e UIDEF, Instituto de Educação, Universidade de Lisboa, Lisbon, Portugal
| | - Élvio R Gouveia
- Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
- Laboratory of Robotics and Engineering Systems, Interactive Technologies Institute, Funchal, Portugal
| | - Thrasyvoulos Tsiatsos
- Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Stella Douka
- Department of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Juel Jarani
- Albanian Sports Science Association, Tirana, Albania
| | - Miguel Peralta
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
- ISAMB, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| |
Collapse
|
2
|
Makai A, Prémusz V, Dózsa-Juhász O, Fodor-Mazzag K, Melczer C, Ács P. Examination of Physical Activity Patterns of Children, Reliability and Structural Validity Testing of the Hungarian Version of the PAQ-C Questionnaire. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1547. [PMID: 37761508 PMCID: PMC10529201 DOI: 10.3390/children10091547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/30/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023]
Abstract
INTRODUCTION Several studies report on the importance of physical activity (PA) in childhood, which influences attitudes towards health in adulthood. For monitoring PA, trustworthy measurement tools are needed. The study aimed to adapt the Physical Activity Questionnaire for Children (PAQ-C) to the Hungarian language and assess its validity, reliability, and factor structure. METHODS A total of 620 children (the average age was 10.62 (SD 2.36)) participated in the cross-sectional study. To assess physical activity, the PAQ-C questionnaire was used. The collected data were analysed using IBM SPSS version 28.0 and IBM SPSS AMOS 29.0 software. RESULTS The internal consistency was acceptable (alpha = 0.729) and the test-retest reliability showed acceptable agreement (ICC = 0.772). The confirmatory factor favoured a one-factor structure of the questionnaire. The average PAQ-C score for girls was 2.87 (SD 1.07), and for boys it was 3.00 (SD 1.05), which showed a significant difference (p = 0.005). DISCUSSION Based on our findings, our study tested the validity and reliability of the one-factor PAQ-C questionnaire, a valid and reliable measurement tool to test the physical activity patterns of primary school children in a Hungarian sample. Further research is needed to develop physical activity monitoring of Hungarian children.
Collapse
Affiliation(s)
- Alexandra Makai
- Institute of Physiotherapy and Sport Sciences, Faculty of Health Sciences, University of Pécs, H-7621 Pecs, Hungary; (V.P.); (P.Á.)
- Physical Activity Research Group, Szentágothai Research Centre, University of Pécs, H-7621 Pecs, Hungary
| | - Viktória Prémusz
- Institute of Physiotherapy and Sport Sciences, Faculty of Health Sciences, University of Pécs, H-7621 Pecs, Hungary; (V.P.); (P.Á.)
- Physical Activity Research Group, Szentágothai Research Centre, University of Pécs, H-7621 Pecs, Hungary
| | - Olívia Dózsa-Juhász
- Institute of Physiotherapy and Sport Sciences, Faculty of Health Sciences, University of Pécs, H-7621 Pecs, Hungary; (V.P.); (P.Á.)
| | - Kitti Fodor-Mazzag
- Institute of Physiotherapy and Sport Sciences, Faculty of Health Sciences, University of Pécs, H-7621 Pecs, Hungary; (V.P.); (P.Á.)
| | - Csaba Melczer
- Institute of Physiotherapy and Sport Sciences, Faculty of Health Sciences, University of Pécs, H-7621 Pecs, Hungary; (V.P.); (P.Á.)
- Physical Activity Research Group, Szentágothai Research Centre, University of Pécs, H-7621 Pecs, Hungary
| | - Pongrác Ács
- Institute of Physiotherapy and Sport Sciences, Faculty of Health Sciences, University of Pécs, H-7621 Pecs, Hungary; (V.P.); (P.Á.)
- Physical Activity Research Group, Szentágothai Research Centre, University of Pécs, H-7621 Pecs, Hungary
| |
Collapse
|
3
|
Zewdie HY, Zhao AY, Ogletree SS, Messiah SE, Armstrong SC, Skinner AC, Neshteruk CD, Hipp JA, Day SE, Konty KJ, D'Agostino EM. Longitudinal Associations Between Neighborhood Child Opportunity and Physical Fitness for New York City Public School Youth. Am J Epidemiol 2023; 192:1278-1287. [PMID: 37083846 DOI: 10.1093/aje/kwad101] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 01/24/2023] [Accepted: 04/17/2023] [Indexed: 04/22/2023] Open
Abstract
Neighborhood environments can support fitness-promoting behavior, yet little is known about their influence on youth physical fitness outcomes over time. We examined longitudinal associations between neighborhood opportunity and youth physical fitness among New York City (NYC) public school youth. The Child Opportunity Index (COI), a composite index of 29 indicators measuring neighborhood opportunity at the census-tract level, along with scores on 4 selected COI indicators were linked to NYC FITNESSGRAM youth data at baseline. Fitness outcomes (measured annually, 2011-2018) included body mass index, curl-ups, push-ups, and Progressive Aerobic Cardiovascular Endurance Run (PACER) laps. Unstratified and age-stratified, adjusted, 3-level generalized linear mixed models, nested by census tract and time, estimated the association between COI and fitness outcomes. The analytical sample (n = 204,939) lived in very low (41%) or low (30%) opportunity neighborhoods. Unstratified models indicated that overall COI is modestly associated with improved youth physical fitness outcomes. The strongest opportunity-fitness associations were observed for PACER. Stratified models show differences in associations across younger vs. older youth. We find that neighborhood factors are associated with youth fitness outcomes over time, with the strength of the associations dependent on age. Future implications include better informed place-based interventions tailored to specific life stages to promote youth health.
Collapse
|
4
|
Sedlačík M, Lacinová V, Hasilová K. Assessment of physical activity among adolescents: a guide to the literature. Front Psychol 2023; 14:1232382. [PMID: 37484102 PMCID: PMC10359975 DOI: 10.3389/fpsyg.2023.1232382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 06/27/2023] [Indexed: 07/25/2023] Open
Abstract
Purpose The aim of this article is to systematically review articles and annual reports concerning young peoples' physical activity (PA) and linking this to considerations of the state and national defense. Method A systematic search of the literature included an analysis of publications accessible in global databases and other available books, student papers, and projects. The articles and reports were categorized based on year of publication, methods used, age of respondents, sample size, country, and digital object identifier (DOI). Results The result of this search is an overview of the extent and manner in which the worldwide scientific community is addressing the current situation and the long-term development of the physical fitness of adolescents. This publication also maps to what extent professional publications and articles are addressing PA from the perspective of the needs of armies and armed forces of various countries around the world. Conclusions The article provides a systematic overview of methods used to measure PA, and an overview of articles dealing with assessing PA. The examined articles indicate that from the perspective of not only national defense, but also health and overall quality of life, in particular, we need initiatives to encourage and motivate young people to increase their everyday PA. The research therefore also includes an overview of factors that may considerably influence PA. The results ascertained in this publication will be used, i.a. for investigating a longitudinal defense research project of the Ministry of Defense of the Czech Republic in which the authors are participating.
Collapse
|
5
|
Lang JJ, Zhang K, Agostinis-Sobrinho C, Andersen LB, Basterfield L, Berglind D, Blain DO, Cadenas-Sanchez C, Cameron C, Carson V, Colley RC, Csányi T, Faigenbaum AD, García-Hermoso A, Gomes TNQF, Gribbon A, Janssen I, Jurak G, Kaj M, Kidokoro T, Lane KN, Liu Y, Löf M, Lubans DR, Magnussen CG, Manyanga T, McGrath R, Mota J, Olds T, Onywera VO, Ortega FB, Oyeyemi AL, Prince SA, Ramírez-Vélez R, Roberts KC, Rubín L, Servais J, Silva DAS, Silva DR, Smith JJ, Song Y, Stratton G, Timmons BW, Tomkinson GR, Tremblay MS, Wong SHS, Fraser BJ. Top 10 International Priorities for Physical Fitness Research and Surveillance Among Children and Adolescents: A Twin-Panel Delphi Study. Sports Med 2023; 53:549-564. [PMID: 36001291 PMCID: PMC9399984 DOI: 10.1007/s40279-022-01752-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2022] [Indexed: 01/28/2023]
Abstract
BACKGROUND The measurement of physical fitness has a history that dates back nearly 200 years. Recently, there has been an increase in international research and surveillance on physical fitness creating a need for setting international priorities that could help guide future efforts. OBJECTIVE This study aimed to produce a list of the top 10 international priorities for research and surveillance on physical fitness among children and adolescents. METHODS Using a twin-panel Delphi method, two independent panels consisting of 46 international experts were identified (panel 1 = 28, panel 2 = 18). The panel participants were asked to list up to five priorities for research or surveillance (round 1), and then rated the items from their own panel on a 5-point Likert scale of importance (round 2). In round 3, experts were asked to rate the priorities identified by the other panel. RESULTS There was strong between-panel agreement (panel 1: rs = 0.76, p < 0.01; panel 2: rs = 0.77, p < 0.01) in the priorities identified. The list of the final top 10 priorities included (i) "conduct longitudinal studies to assess changes in fitness and associations with health". This was followed by (ii) "use fitness surveillance to inform decision making", and (iii) "implement regular and consistent international/national fitness surveys using common measures". CONCLUSIONS The priorities identified in this study provide guidance for future international collaborations and research efforts on the physical fitness of children and adolescents over the next decade and beyond.
Collapse
Affiliation(s)
- Justin J. Lang
- grid.415368.d0000 0001 0805 4386Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Ave, Ottawa, ON K9A 0K9 Canada ,grid.28046.380000 0001 2182 2255School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON Canada ,grid.414148.c0000 0000 9402 6172Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON Canada
| | - Kai Zhang
- grid.414148.c0000 0000 9402 6172Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON Canada ,grid.28046.380000 0001 2182 2255School of Human Kinetics, University of Ottawa, Ottawa, ON Canada
| | - César Agostinis-Sobrinho
- grid.14329.3d0000 0001 1011 2418Faculty of Health Sciences, Klaipeda University, Klaipeda, Lithuania
| | - Lars Bo Andersen
- grid.477239.c0000 0004 1754 9964Department of Sport, Food and Natural Sciences. Western, Norway University of Applied Science, Bergen, Norway
| | - Laura Basterfield
- grid.1006.70000 0001 0462 7212Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Daniel Berglind
- grid.4714.60000 0004 1937 0626Department of Global Public Health and Centre for Epidemiology and Community Medicine (CES), Karolinska Institutet, Stockholm, Sweden
| | - Dylan O. Blain
- grid.12362.340000 0000 9280 9077Institute of Management and Health, University of Wales Trinity Saint David, Wales, UK
| | - Cristina Cadenas-Sanchez
- grid.4489.10000000121678994PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Christine Cameron
- grid.418590.10000 0001 2164 2780Canadian Fitness and Lifestyle Research Institute, Ottawa, ON Canada
| | - Valerie Carson
- grid.17089.370000 0001 2190 316XFaculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB Canada
| | - Rachel C. Colley
- grid.413850.b0000 0001 2097 5698Health Analysis Division, Statistics Canada, Ottawa, ON Canada
| | - Tamás Csányi
- Department of Physical Education Theory and Methodology, Hungarian University of Sports Science, Budapest, Hungary ,grid.5591.80000 0001 2294 6276Faculty of Primary and Pre-School Education, ELTE, Eötvös Loránd University, Budapest, Hungary
| | - Avery D. Faigenbaum
- grid.264500.50000 0004 0400 5239Kinesiology and Health Science, The College of New Jersey, Ewing, NJ USA
| | - Antonio García-Hermoso
- grid.410476.00000 0001 2174 6440Navarrabiomed, Hospital Universitario de Navarra (HUN), Navarra Institute for Health Research (IdiSNA), Universidad Pública de Navarra (UPNA), Pamplona, Navarra Spain
| | - Thayse Natacha Q. F. Gomes
- grid.411252.10000 0001 2285 6801Department of Physical Education, Federal University of Sergipe, São Cristóvão, SE Brazil
| | - Aidan Gribbon
- grid.413850.b0000 0001 2097 5698Centre for Population Health Data, Statistics Canada, Ottawa, ON Canada
| | - Ian Janssen
- grid.410356.50000 0004 1936 8331School of Kinesiology and Health Studies, Queen’s University, Kingston, ON Canada ,grid.410356.50000 0004 1936 8331Department of Public Health Sciences, Queen’s University, Kingston, ON Canada
| | - Gregor Jurak
- grid.8954.00000 0001 0721 6013Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
| | - Mónika Kaj
- grid.511942.aHungarian School Sport Federation, Budapest, Hungary
| | - Tetsuhiro Kidokoro
- grid.412200.50000 0001 2228 003XResearch Institute for Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Kirstin N. Lane
- grid.143640.40000 0004 1936 9465School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC Canada
| | - Yang Liu
- grid.412543.50000 0001 0033 4148School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai, China ,grid.412543.50000 0001 0033 4148Shanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai University of Sport, Shanghai, China
| | - Marie Löf
- grid.4714.60000 0004 1937 0626Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden ,grid.5640.70000 0001 2162 9922Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - David R. Lubans
- grid.266842.c0000 0000 8831 109XCentre for Active Living and Learning, College of Human and Social Futures, The University of Newcastle, Callaghan, NSW Australia
| | - Costan G. Magnussen
- grid.1051.50000 0000 9760 5620Baker Heart and Diabetes Institute, Melbourne, VIC Australia ,grid.1374.10000 0001 2097 1371Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland ,grid.1374.10000 0001 2097 1371Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland ,grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS Australia
| | - Taru Manyanga
- grid.266876.b0000 0001 2156 9982Division of Medical Sciences, University of Northern British Columbia, Prince George, BC Canada
| | - Ryan McGrath
- grid.261055.50000 0001 2293 4611Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND USA ,grid.509356.c0000 0004 0420 0122Fargo VA Healthcare System, Fargo, ND USA
| | - Jorge Mota
- grid.5808.50000 0001 1503 7226Laboratory for Integrative and Translational Research in Population Health (ITR), Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sports, University of Porto (FADEUP), Porto, Portugal
| | - Tim Olds
- grid.1026.50000 0000 8994 5086Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA Australia ,grid.1008.90000 0001 2179 088XMurdoch Children’s Research Institute, University of Melbourne, Parkville, Melbourne, VIC Australia
| | - Vincent O. Onywera
- grid.9762.a0000 0000 8732 4964Department of Physical Education, Exercise and Sports Science, Kenyatta University, Nairobi, Kenya
| | - Francisco B. Ortega
- grid.4489.10000000121678994PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain ,grid.9681.60000 0001 1013 7965Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Adewale L. Oyeyemi
- grid.413017.00000 0000 9001 9645Department of Physiotherapy, University of Maiduguri, Maiduguri, Nigeria
| | - Stephanie A. Prince
- grid.415368.d0000 0001 0805 4386Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Ave, Ottawa, ON K9A 0K9 Canada ,grid.28046.380000 0001 2182 2255School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON Canada
| | - Robinson Ramírez-Vélez
- grid.410476.00000 0001 2174 6440Navarrabiomed, Hospital Universitario de Navarra (HUN), Navarra Institute for Health Research (IdiSNA), Universidad Pública de Navarra (UPNA), Pamplona, Navarra Spain ,grid.442065.10000 0004 0486 4893Facultad de Ciencias de la Educación, Unidad Central del Valle del Cauca (UCEVA), Túlua, Colombia ,grid.413448.e0000 0000 9314 1427CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Karen C. Roberts
- grid.415368.d0000 0001 0805 4386Centre for Surveillance and Applied Research, Public Health Agency of Canada, 785 Carling Ave, Ottawa, ON K9A 0K9 Canada
| | - Lukáš Rubín
- grid.6912.c0000000110151740Department of Physical Education and Sport, Technical University of Liberec, Liberec, Czech Republic ,grid.10979.360000 0001 1245 3953Institute of Active Lifestyle, Palacký University Olomouc, Olomouc, Czech Republic
| | - Jennifer Servais
- grid.413850.b0000 0001 2097 5698Centre for Population Health Data, Statistics Canada, Ottawa, ON Canada
| | - Diego Augusto Santos Silva
- grid.411237.20000 0001 2188 7235Sports Center, Federal University of Santa Catarina, Florianópolis, SC Brazil
| | - Danilo R. Silva
- grid.411252.10000 0001 2285 6801Department of Physical Education, Federal University of Sergipe, São Cristóvão, SE Brazil ,grid.441837.d0000 0001 0765 9762Faculty of Health Science, Universidad Autónoma de Chile, Santiago, Chile
| | - Jordan J. Smith
- grid.266842.c0000 0000 8831 109XCentre for Active Living and Learning, College of Human and Social Futures, The University of Newcastle, Callaghan, NSW Australia
| | - Yi Song
- grid.11135.370000 0001 2256 9319Institute of Child and Adolescent Health, School of Public Health, National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Gareth Stratton
- grid.4827.90000 0001 0658 8800Applied Sport Technology Exercise and Medicine Research Centre, Faculty Science and Engineering, Swansea University, Wales, UK
| | - Brian W. Timmons
- grid.414148.c0000 0000 9402 6172Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON Canada ,grid.25073.330000 0004 1936 8227Child Health and Exercise Medicine Program, McMaster University, Hamilton, ON Canada
| | - Grant R. Tomkinson
- grid.1026.50000 0000 8994 5086Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA Australia ,grid.266862.e0000 0004 1936 8163Department of Education, Health and Behavior Studies, University of North Dakota, Grand Forks, ND USA
| | - Mark S. Tremblay
- grid.414148.c0000 0000 9402 6172Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON Canada ,grid.28046.380000 0001 2182 2255Department of Pediatrics, University of Ottawa, Ottawa, ON Canada ,grid.34428.390000 0004 1936 893XDepartment of Health Sciences, Carleton University, Ottawa, ON Canada
| | - Stephen H. S. Wong
- grid.10784.3a0000 0004 1937 0482Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Brooklyn J. Fraser
- grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS Australia
| |
Collapse
|
6
|
Štefan L, Neljak B, Petrić V, Kasović M, Vespalec T. Normative Data for Musculoskeletal Fitness in 13,217 Children and Adolescents: The Croatian Fitness (CROFIT) Study. RESEARCH QUARTERLY FOR EXERCISE AND SPORT 2022; 93:528-536. [PMID: 34663188 DOI: 10.1080/02701367.2021.1873903] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 01/05/2021] [Indexed: 06/13/2023]
Abstract
Purpose: The main purpose of the study was to establish normative data for health-related musculoskeletal fitness. Method: We recruited 13,217 children and adolescents aged 11-18 years (6,181 boys and 7,036 girls; 57% of girls). To evaluate musculoskeletal fitness, the following field tests were applied: standing broad jump (cm), sprint 20 m (sec), medicine-ball throw (dm), sit-ups in one minute (#), sit-ups in one minute (short, #), and squats in one minute (#). Curves for the 10th, 20th, 30th, 40th, 50th (median), 60th, 70th, 80th, and 90th percentiles were calculated using the Lambda (L), Mu (M), and Sigma (S) method. The LMS method assumes that the data can be normalized by using a power transformation and removing the skewness. Results: Median scores for standing broad jump, sprint 20 m, medicine-ball throw, sit-ups in one minute, sit-ups in one minute (short) and squats in one minute were 185.00 cm, 3.66 sec, 80.00 dm, 46.00 x, 56.00 x and 49 x in boys and 160.00 cm, 4.01 sec, 60.00 dm, 40.00 x, 49.00 and 43 x in girls. Effect sizes (ES) showed that boys performed better in all physical fitness tests (ES = 0.50-1.05), compared to girls. In general, age-related physical fitness changes showed the plateau between ages 15 and 16 in boys, while in girls, the plateau was reached at the age of 14. Conclusions: This study shows standards for musculoskeletal tests in youth.
Collapse
|
7
|
Correlations between Physical Fitness and Body Composition among Boys Aged 14–18—Conclusions of a Case Study to Reverse the Worsening Secular Trend in Fitness among Urban Youth Due to Sedentary Lifestyles. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148765. [PMID: 35886622 PMCID: PMC9323754 DOI: 10.3390/ijerph19148765] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/13/2022] [Accepted: 07/14/2022] [Indexed: 11/16/2022]
Abstract
A secular trend can be observed throughout the world with an increase in childhood obesity and a decrease in fitness. The research aimed to examine the results of tests measuring the conditional abilities of young boys aged 14–18 in fitness tests and their correlations with body composition indicators. That was supported by research that has been prepared in Hungary so far. This research focuses on the results of fitness tests conducted on 14- to 18-year-old boys, presented along with body composition data. The authors sought to describe the development of the fitness profiles of males at a Budapest secondary school participating in the research, based on the results of the Hungarian National Student Fitness Test (NETFIT®), and also how their physical characteristics affect the results of NETFIT® tests in the sample measured. A total of 735 male high school students at a Budapest secondary school (14–18 years old) (mean ± SD, 16.05 ± 1.18 years) participated in the survey. The data were collected in the 2018/2019 academic year, and it was compared with the national data. The correlation between the performance indicators of the NETFIT® tests and the physical characteristic indicators was analyzed using the two-block Partial Least Squares method. In the resulting groups, Kruskal–Wallis variance analysis was performed to investigate the differences in performance. In contrast, pairs of group differences were tested with the Mann–Whitney test. Boys with a short physique were at some advantage in trunk-lifts and push-ups, compared to taller boys. It was also obvious that being overweight is a hindrance regarding the PACER test or the standing broad jump. The handgrip in the left and right hand was mostly of similar strength or weakness. Tall-heavy children performed better in this test. The grip strength of tall-thin students was also strong, but not as strong as in the tall-heavy group. Reducing the percentage of body fat (PBF) and creating the optimal BMI index is important for the younger age group, as our results have clearly demonstrated that overweight is a hindrance in the PACER, VO2 max, standing broad jump, back-saver sit-and-reach, and push-up tests.
Collapse
|
8
|
DÜLGER N, AKMAN M, YILMAZ B. The Effect of Weight Loss on Osteoarthritis Symptoms in Obese Patients with Osteoarthritis. BEZMIALEM SCIENCE 2022. [DOI: 10.14235/bas.galenos.2021.5333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
|
9
|
KANDRÁČ R, KOKINDA M, RUŽBARSKÝ P, TUREK M, JANČOŠEK M, ZVONAŘ M, BALINT G. Health-related physical fitness in Slovak youth. GAZZETTA MEDICA ITALIANA ARCHIVIO PER LE SCIENZE MEDICHE 2021. [DOI: 10.23736/s0393-3660.20.04378-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
|
10
|
Zhang F, Bi C, Yin X, Chen Q, Li Y, Liu Y, Zhang T, Li M, Sun Y, Yang X. Physical fitness reference standards for Chinese children and adolescents. Sci Rep 2021; 11:4991. [PMID: 33654251 PMCID: PMC7925655 DOI: 10.1038/s41598-021-84634-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 02/16/2021] [Indexed: 11/23/2022] Open
Abstract
To develop age- and sex-specific physical fitness reference standards and express the age- and sex-related differences using standardized effect sizes for Chinese children and adolescents. A total of 85,535 children and adolescents (48.7% girls) aged 7–18 years were recruited from six geographical divisions of China using a stratified randomized cluster sampling method. Seven physical fitness items including grip strength, standing long jump, 30-s sit-ups, sit and reach, 50-m dash, 20-s repeated straddling, and 20-m SRT were measured following a standardized procedure. Percentile curves for each physical fitness test were calculated using the LMS. Age- and sex-related differences were expressed as standardized effect sizes. We observed that the performance improved with age along with the analyzed percentiles in all tests. Boys had higher values compared to girls in all the physical fitness items except for sit and reach test, where girls showed better performance in all analyzed percentiles. Also, the sex differences increased with ages except sit and reach. There is a need for a differentiated approach in the physical education class in terms of adjustment of physical activity based on sex, level of fitness abilities in China.
Collapse
Affiliation(s)
- Feng Zhang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Cunjian Bi
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Xiaojian Yin
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China. .,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China. .,College of Economics and Management, Shanghai Institute of Technology, Shanghai, 201418, China.
| | - Qi Chen
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Yuqiang Li
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Yuan Liu
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Ting Zhang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Ming Li
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Yi Sun
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Xiaofang Yang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| |
Collapse
|
11
|
Zhang T, Yin X, Yang X, Bi C, Li Y, Sun Y, Li M, Zhang F, Liu Y. Relationship between cardiorespiratory fitness and latitude in children and adolescents: Results from a cross-sectional survey in China. J Exerc Sci Fit 2021; 19:119-126. [PMID: 33488741 PMCID: PMC7811039 DOI: 10.1016/j.jesf.2020.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 12/27/2020] [Accepted: 12/29/2020] [Indexed: 11/30/2022] Open
Abstract
Background This study assessed the correlation between latitude and the cardiorespiratory fitness (CRF) of children and adolescents. Methods In 16 provinces and autonomous regions in China, 25,941 children and adolescents aged 10–18 were included. CRF was measured using the 20 m shuttle run test (20 m SRT) and estimated peak oxygen uptake (VO2peak). One-way ANOVA and multiple regression analysis were used to explore the correlation between CRF and latitude in children and adolescents. Results The VO2peak values of the low (south), middle, and high (north) latitude groups for boys were 43.1, 43.1, and 40.7 mL/kg/min, respectively, and 40.0, 40.0, and 38.5 mL/kg/min for girls, respectively. After adjusting for confounding factors, the regression coefficients (β) between VO2peak-Z and both latitude-Z and (latitude-Z)2 for boys were −0.151 and −0.043, respectively. For girls, they were −0.142 and −0.020, respectively. The Partial correlation coefficient (r) for latitude-Z and (latitude-Z)2 were −0.14 and −0.04 for boys, and −0.13 and −0.02 for girls, respectively. Conclusion The CRF among children and adolescents in high latitude regions is significantly lower than that in middle and low latitude region, and it generally shows a “parabolic” trend between Latitude-Z and VO2peak-Z.
Collapse
Affiliation(s)
- Ting Zhang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Xiaojian Yin
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China.,College of Economics and Management, Shanghai Institute of Technology, Shanghai, 201418, China
| | - Xiaofang Yang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Cunjian Bi
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Yuqiang Li
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Yi Sun
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Ming Li
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Feng Zhang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| | - Yuan Liu
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, East China Normal University, Shanghai, 200241, China.,College of Physical Education and Health, East China Normal University, Shanghai, 200241, China
| |
Collapse
|
12
|
Konty KJ, Day SE, Larkin M, Thompson HR, D’Agostino EM. Physical fitness disparities among New York City public school youth using standardized methods, 2006-2017. PLoS One 2020; 15:e0227185. [PMID: 32271758 PMCID: PMC7144992 DOI: 10.1371/journal.pone.0227185] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 12/13/2019] [Indexed: 12/23/2022] Open
Abstract
Standardized physical fitness monitoring provides a more accurate proxy for youth health when compared with physical activity. Little is known about the utilization of broad-scale individual-level youth physical fitness testing to explore health disparities. We examined longitudinal trends in population-level fitness for 4th-12th grade New York City youth during 2006/7-2016/17 (average n = 510,293 per year). Analyses were performed in 2019. The primary outcome was whether or not youth achieved sex-/age-specific performance levels (called the Healthy Fitness Zone) on the aerobic capacity, muscular strength and muscular endurance tests using the NYC FITNESSGRAM. The Cooper Institute’s most recent Healthy Fitness Zone criteria were applied to all tests and years. Prevalence estimates were weighted, accounted for school clustering, adjusted for student-level sociodemographics, and run by sociodemographic subgroups and year. The overall prevalence for meeting 3 Healthy Fitness Zones increased from 15.5% (95%CI: 13.9%-17.0%) in 2006/7 to 23.3% (95%CI: 22.2%-24.4%) in 2016/17 for students in grades 4–12. Fitness for all student groups increased over time, although Hispanic and non-Hispanic black girls consistently had the lowest prevalence of meeting 3 Healthy Fitness Zones as compared to all other race/sex subgroups. Also, 9th-12th graders had a lower prevalence of meeting 3 Healthy Fitness Zones as compared to 4th-8th graders. Given forecasted sharp increases in cardiovascular disease prevalence, routine youth fitness surveillance using standardized, criterion referenced methods can identify important fitness disparities and inform interventions.
Collapse
Affiliation(s)
- Kevin J. Konty
- NYC Department of Health and Mental Hygiene, Office of School Health, New York City, New York, United States of America
| | - Sophia E. Day
- NYC Department of Health and Mental Hygiene, Office of School Health, New York City, New York, United States of America
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Heath Policy, City University of New York, New York City, New York, United States of America
| | - Michael Larkin
- Learning, Teaching and Assessment, Plainedge School District, Massapequa, NY, United States of America
| | - Hannah R. Thompson
- Department of Community Health Sciences, School of Public Health, University of California Berkley, Berkeley, California, United States of America
| | - Emily M. D’Agostino
- Department of Epidemiology and Biostatistics, Graduate School of Public Health and Heath Policy, City University of New York, New York City, New York, United States of America
- Department of Family Medicine and Community Health, Duke University School of Medicine, Durham, North Carolina, United States of America
- * E-mail:
| |
Collapse
|
13
|
Oliveira RGD, Guedes DP. Physical Fitness and Metabolic Syndrome in Brazilian Adolescents: Validity of Diagnostic Health Criteria. Percept Mot Skills 2018; 125:1140-1159. [PMID: 30217125 DOI: 10.1177/0031512518799808] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
We tested health criteria cutoff points from physical fitness variables proposed by the Fitnessgram program for detecting metabolic syndrome ( MetS) in a representative sample of 1,035 Brazilian adolescents (565 girls and 470 boys) aged 12-20 years. We studied five fitness tests: (a) back-saver sit and reach, (b) trunk lift, (c) curl-up, (d) push-up, and (e) progressive aerobic cardiovascular endurance run ( PACER), and we defined MetS through the criteria of the International Diabetes Federation. We described the predictive performance of each fitness test in terms of sensitivity, specificity, and area under the curve ( AUC) estimates of the receiver operating characteristic method. The AUCs for four tests ( back-saver sit and reach, trunk lift, curl-up, and push-up) revealed low accuracy for identifying MetS in both sexes (0.50 ≥ AUC ≤ 0.60), but AUCs for the PACER test demonstrated good accuracy values between 0.72 (0.68-0.76) and 0.83 (0.78-0.89). Thus, cutoff points proposed in the Fitnessgram program for the PACER test offer an effective means of screening adolescents at higher cardiometabolic risk, which, for the age-group used in this study, should be from 40.3-44.3 ml/kg/min for boys and 38.6-40.1 ml/kg/min for girls.
Collapse
Affiliation(s)
- Raphael G de Oliveira
- 1 Universidade Norte do Paraná, Londrina, Paraná, Brazil.,2 Health Sciences Center, Universidade Estadual do Norte do Paraná, Jacarezinho, Paraná, Brazil
| | | |
Collapse
|
14
|
Welk GJ. The Intersections of Science and Practice: Examples From FitnessGram® Programming. RESEARCH QUARTERLY FOR EXERCISE AND SPORT 2017; 88:391-400. [PMID: 29048253 DOI: 10.1080/02701367.2017.1377485] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The FitnessGram® program has provided teachers with practical tools to enhance physical education programming. A key to the success of the program has been the systematic application of science to practice. Strong research methods have been used to develop assessments and standards for use in physical education, but consideration has also been given to ensure that programming meets the needs of teachers, students, parents, and other stakeholders. This essay summarizes some of these complex and nuanced intersections between science and practice with the FitnessGram® program. The commentaries are organized into 5 brief themes: science informing practice; practice informing science; balancing science and practice; promoting evidence-based practice; and the integration of science and practice. The article draws on personal experiences with the FitnessGram® program and is prepared based on comments shared during the 37th Annual C. H. McCloy Research Lecture at the 2017 SHAPE America - Society of Health and Physical Educators Convention.
Collapse
|
15
|
Saint-Maurice PF, Bai Y, Welk GJ, Bandelli LN, Allums-Featherston K, Candelaria N. Impact of NFL PLAY 60 Programming on Elementary School Children's Body Mass Index and Aerobic Capacity: The NFL PLAY 60 FitnessGram Partnership Project. THE JOURNAL OF SCHOOL HEALTH 2017; 87:873-881. [PMID: 29023836 DOI: 10.1111/josh.12561] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Revised: 02/20/2017] [Accepted: 02/23/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND We examined the impact of the Fuel Up to Play 60 (FUTP60) program on children's body mass index (BMI) and aerobic capacity (AC). METHODS Participation in the FUTP60 and both BMI and AC profiles were collected through the NFL PLAY 60 FitnessGram Partnership Project involving over 100 schools from 22 US states. We specifically examined the distributions of BMI and AC among participating versus nonparticipating schools in the 2012-2013 school year. Hierarchical linear models tested the impact of participation and availability of additional funding for program implementation on the proportions of youth meeting FitnessGram health-related fitness standards (ie, Needs Improvement-Health Risk [NIHR] and Healthy Fitness Zone [HFZ] categories). RESULTS After 1 year implementing the program, participating schools had lower proportions of boys (-4.1 ± 2.0%, p = .04) and girls (-4.5 ± 2.0%, p = .03) in the NIHR for BMI, and lower proportion of girls (-9.7 ± 4.0%, p = .02) in the NIHR for AC. There were no differences in the distributions for the HFZ and the availability of additional funding did not alter the relationships (p > .05). CONCLUSIONS This study provides preliminary evidence that participation in the FUTP60 is associated with improved profiles of health-related fitness.
Collapse
Affiliation(s)
| | - Yang Bai
- Department of Rehabilitation and Movement Science, University of Vermont, Rowell 310P, 106 Carrigan Dr, Burlington, VT 05405
| | - Gregory J Welk
- Department of Kinesiology, Iowa State University, 257 Forker Building, Ames, IA 50011
| | - Lorraine N Bandelli
- Health & Wellness Partnerships and Evaluation, GENYOUth, West New York, NJ 07093
| | | | | |
Collapse
|
16
|
Differences in cardiovascular fitness of Italian high-school adolescents according to different physical activity levels assessed by IPAQ-A: a cross-sectional study. SPORT SCIENCES FOR HEALTH 2017. [DOI: 10.1007/s11332-016-0326-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
17
|
Lang JJ, Tremblay MS, Ortega FB, Ruiz JR, Tomkinson GR. Review of criterion-referenced standards for cardiorespiratory fitness: what percentage of 1 142 026 international children and youth are apparently healthy? Br J Sports Med 2017; 53:953-958. [PMID: 28254744 DOI: 10.1136/bjsports-2016-096955] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/02/2017] [Indexed: 11/03/2022]
Abstract
PURPOSE To identify criterion-referenced standards for cardiorespiratory fitness (CRF); to estimate the percentage of children and youth that met each standard; and to discuss strategies to help improve the utility of criterion-referenced standards for population health research. METHODS A search of four databases was undertaken to identify papers that reported criterion-referenced CRF standards for children and youth generated using the receiver operating characteristic curve technique. A pseudo-dataset representing the 20-m shuttle run test performance of 1 142 026 children and youth aged 9-17 years from 50 countries was generated using Monte Carlo simulation. Pseudo-data were used to estimate the international percentage of children and youth that met published criterion-referenced standards for CRF. RESULTS Ten studies reported criterion-referenced standards for healthy CRF in children and youth. The mean percentage (±95% CI) of children and youth that met the standards varied substantially across age groups from 36%±13% to 95%±4% among girls, and from 51%±7% to 96%±16% among boys. There was an age gradient across all criterion-referenced standards where younger children were more likely to meet the standards compared with older children, regardless of sex. Within age groups, mean percentages were more precise (smaller CI) for younger girls and older boys. CONCLUSION There are several CRF criterion-referenced standards for children and youth producing widely varying results. This study encourages using the interim international criterion-referenced standards of 35 and 42 mL/kg/min for girls and boys, respectively, to identify children and youth at risk of poor health-raising a clinical red flag.
Collapse
Affiliation(s)
- Justin J Lang
- Healthy Active Living and Obesity (HALO) Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Mark S Tremblay
- Healthy Active Living and Obesity (HALO) Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Francisco B Ortega
- PROmoting FITness and Health through physical activity research group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Karolinska Institutet, Huddinge, Sweden
| | - Jonatan R Ruiz
- PROmoting FITness and Health through physical activity research group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Karolinska Institutet, Huddinge, Sweden
| | - Grant R Tomkinson
- Department of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, North Dakota, USA
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences & Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia
| |
Collapse
|
18
|
Pereira S, Todd Katzmarzyk P, Gomes TN, Souza M, Chaves RN, dos Santos FK, Santos D, Hedeker D, Maia J. A multilevel analysis of health-related physical fitness. The Portuguese sibling study on growth, fitness, lifestyle and health. PLoS One 2017; 12:e0172013. [PMID: 28187195 PMCID: PMC5302836 DOI: 10.1371/journal.pone.0172013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 01/30/2017] [Indexed: 11/19/2022] Open
Abstract
This study investigates biological, behavioural and sociodemographic correlates of intra-pair similarities, and estimates sibling resemblance in health-related physical fitness (PF). The sample comprises 1101 biological siblings (525 females) aged 9–20 years. PF components and markers were: morphological [waist circumference (WC) and %body fat (%BF)], muscular [handgrip strength (GS) and standing long jump (SLJ)], motor [50-yard dash (50YD) and shuttle run (SR)], and cardiorespiratory (1-mile run). Biological maturation was assessed; physical activity (PA), TV viewing and socioeconomic status (SES) information was obtained. On average, older and more mature subjects are better performers in all PF components; PA was negatively associated with SR, while SES was negatively associated with SLJ and SR. A pattern was observed in the intraclass correlations (ρ) wherein same sex siblings demonstrate greater resemblance for most PF components (sister-sister: 0.35≤ ρ≤0.55; brother-brother: (0.25≤ρ≤0.60) than brother-sister pairs (BS) (0≤ρ≤0.15), except for %BF (ρBB>ρSS>ρBS), and the 1-mile run (ρSS>ρBS>ρBB). In conclusion, behavioural and sociodemographic correlates play different roles in siblings PF expression. Further, a significant familial PF resemblance was observed with different trends in different sibling types, probably due to variations in shared genetic factors and sociodemographic conditions.
Collapse
Affiliation(s)
- Sara Pereira
- CIFI2D, Faculty of Sport, University of Porto, Porto, Portugal
| | - Peter Todd Katzmarzyk
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States of America
| | | | - Michele Souza
- CIFI2D, Faculty of Sport, University of Porto, Porto, Portugal
- Department of Physical Education, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | - Raquel Nichele Chaves
- CIFI2D, Faculty of Sport, University of Porto, Porto, Portugal
- Federal University of Technology-Paraná (UTFPR), Campus Curitiba, Curitiba, Brazil
| | - Fernanda Karina dos Santos
- CIFI2D, Faculty of Sport, University of Porto, Porto, Portugal
- Department of Physical Education, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil
| | - Daniel Santos
- CIFI2D, Faculty of Sport, University of Porto, Porto, Portugal
| | - Donald Hedeker
- Department of Public Health Sciences, University of Chicago, Chicago, IL, United States of America
| | - José Maia
- CIFI2D, Faculty of Sport, University of Porto, Porto, Portugal
- * E-mail:
| |
Collapse
|
19
|
Lang JJ, Tremblay MS, Léger L, Olds T, Tomkinson GR. International variability in 20 m shuttle run performance in children and youth: who are the fittest from a 50-country comparison? A systematic literature review with pooling of aggregate results. Br J Sports Med 2016; 52:276. [PMID: 27650256 DOI: 10.1136/bjsports-2016-096224] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2016] [Indexed: 01/26/2023]
Abstract
OBJECTIVES To describe and compare 20 m shuttle run test (20mSRT) performance among children and youth across 50 countries; to explore broad socioeconomic indicators that correlate with 20mSRT performance in children and youth across countries and to evaluate the utility of the 20mSRT as an international population health indicator for children and youth. METHODS A systematic review was undertaken to identify papers that explicitly reported descriptive 20mSRT (with 1-min stages) data on apparently healthy 9-17 year-olds. Descriptive data were standardised to running speed (km/h) at the last completed stage. Country-specific 20mSRT performance indices were calculated as population-weighted mean z-scores relative to all children of the same age and sex from all countries. Countries were categorised into developed and developing groups based on the Human Development Index, and a correlational analysis was performed to describe the association between country-specific performance indices and broad socioeconomic indicators using Spearman's rank correlation coefficient. RESULTS Performance indices were calculated for 50 countries using collated data on 1 142 026 children and youth aged 9-17 years. The best performing countries were from Africa and Central-Northern Europe. Countries from South America were consistently among the worst performing countries. Country-specific income inequality (Gini index) was a strong negative correlate of the performance index across all 50 countries. CONCLUSIONS The pattern of variability in the performance index broadly supports the theory of a physical activity transition and income inequality as the strongest structural determinant of health in children and youth. This simple and cost-effective assessment would be a powerful tool for international population health surveillance.
Collapse
Affiliation(s)
- Justin J Lang
- Healthy Active Living and Obesity (HALO) Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Mark S Tremblay
- Healthy Active Living and Obesity (HALO) Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Luc Léger
- Département de kinésiologie, Université de Montréal, Montreal, Quebec, Canada
| | - Tim Olds
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences & Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia
| | - Grant R Tomkinson
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences & Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia.,Department of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, North Dakota, USA
| |
Collapse
|
20
|
[Analysis of adiposity and physical fitness in young Colombian students]. BIOMEDICA 2016; 36:343-353. [PMID: 27869381 DOI: 10.7705/biomedica.v36i3.3148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 02/29/2016] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Body mass index and physical fitness are important markers of a healthy life style. Objective: To analyze adiposity and physical fitness in young students from public schools in Armenia, Colombia, and examine differences between sex and age groups. Materials and methods: We analyzed 1,150 students: 46.6% (n=536) males and 53.4% (n=614) females, with an age range of 10 to 20 years (15.45 ± 2.52). Physical fitness was evaluated by the Course-Navette test, the Horizontal Jump test, the 20-meter run test and the Sit-and-Reach test. Body mass index and body fat were also assessed. Results: Compared with males, females had significantly higher adiposity levels, body mass index (20.4 vs. 19.5) and body fat (23% vs. 11%). Males had higher levels of physical fitness in all the variables analyzed, with statistically significant differences (p<0.001), except in flexibility, where females achieved better results (3.1cm vs.1 3cm; p=0.003). In both sexes, body mass index increased with age (p<0.001). However, body fat decreased with age in males (p<0.001) and increased in females (p<0.001). In males, physical fitness improved with age in all variables. In females, no significant differences were found between age groups except in the maximal oxygen uptake (VO2max, p<0.001). Conclusion: Adiposity was significantly higher in women than in men. Males had a better level of physical fitness than females, except in flexibility. Physical fitness improved significantly with age in males, but did not change in females.
Collapse
|
21
|
Tomkinson GR, Lang JJ, Tremblay MS, Dale M, LeBlanc AG, Belanger K, Ortega FB, Léger L. International normative 20 m shuttle run values from 1 142 026 children and youth representing 50 countries. Br J Sports Med 2016; 51:1545-1554. [PMID: 27208067 DOI: 10.1136/bjsports-2016-095987] [Citation(s) in RCA: 151] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2016] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To develop sex-specific and age-specific international norms for the 20 m shuttle run test (20mSRT) in children and youth (aged 9-17 years), and to estimate the prevalence meeting the FITNESSGRAM criterion-referenced standards for healthy cardiorespiratory endurance (CRE). METHODS A systematic review was undertaken to identify papers explicitly reporting descriptive 20mSRT (with 1 min stages) data on children and youth since 1981. Data were included on apparently healthy (free from known disease/injury) 9-17 years old. Following standardisation to a common metric and for protocol differences, pseudo data were generated using Monte Carlo simulation, with population-weighted sex-specific and age-specific normative centiles generated using the Lambda Mu and Sigma (LMS) method. Sex-related and age-related differences were expressed as per cent and standardised differences in means. The prevalence with healthy CRE was estimated using the sex-specific and age-specific FITNESSGRAM criterion-referenced standards for [Formula: see text]. RESULTS Norms were displayed as tabulated centiles and as smoothed centile curves for the 20mSRT using 4 common metrics (speed at the last completed stage, completed stages/minutes, laps and relative [Formula: see text]). The final data set included 1 142 026 children and youth from 50 countries, extracted from 177 studies. Boys consistently outperformed girls at each age group (mean difference±95% CI: 0.86±0.28 km/h or 0.79±0.20 standardised units), with the magnitude of age-related increase larger for boys than for girls. A higher proportion of boys (mean±95% CI: 67±14%) had healthy CRE than girls (mean±95% CI: 54±17%), with the prevalence of healthy CRE decreasing systematically with age. CONCLUSIONS This study provides the most comprehensive and up-to-date set of international sex-specific and age-specific 20mSRT norms for children and youth, which have utility for health and fitness screening, profiling, monitoring and surveillance.
Collapse
Affiliation(s)
- Grant R Tomkinson
- Department of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, North Dakota, USA
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences & Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia
| | - Justin J Lang
- Healthy Active Living and Obesity (HALO) Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Mark S Tremblay
- Healthy Active Living and Obesity (HALO) Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Michael Dale
- School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | | | - Kevin Belanger
- Healthy Active Living and Obesity (HALO) Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Francisco B Ortega
- University of Granada, Granada, Spain
- Karolinska Institute, Huddinge, Sweden
| | - Luc Léger
- Département de kinésiologie, Université de Montréal, Montréal, Quebec, Canada
| |
Collapse
|