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Shang W, Kong J, Zhang M, Chen T, Zhao L, Wang K, Yang Q. Association of Initial Muscle Fitness with Weight Loss and Metabolically Healthy Status in Children and Adolescents with Obesity: A Retrospective Study. Metabolites 2024; 14:468. [PMID: 39330475 PMCID: PMC11433830 DOI: 10.3390/metabo14090468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Revised: 08/16/2024] [Accepted: 08/23/2024] [Indexed: 09/28/2024] Open
Abstract
This retrospective study aimed to investigate the association of initial muscular fitness (MF) with weight loss and metabolic health status in 282 children and adolescents with obesity during 3 to 4 weeks of diet- and exercise-based interventions. Metabolically healthy obesity (MHO) definitions established in 2023 and MF standards based on the 2021 Chinese children's grip strength grading were applied. The proportion of metabolically unhealthy obesity (MUO) was higher in the high MF group than in their low MF counterparts at baseline. After the intervention, neither group transitioned from MUO to MHO due to the high frequency of low HDL-C. High MF females showed a higher percentage of high systolic blood pressure (SBP) than low MF females before and after intervention. High MF males exhibited greater improvements in waist circumference, hip circumference, waist-hip ratio, triglycerides, total cholesterol, and LDL-C than low MF males. The benefits of weight loss and blood lipids obtained by males are more evident than those obtained by females under the same MF level. Thus, attention should be paid to females during weight loss regardless of MF levels. Precision therapy should prioritize the management of blood pressure and avoid excessive reduction in HDL-C levels to sustain metabolic health.
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Affiliation(s)
- Wenya Shang
- School of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou 450046, China;
| | - Jiaqi Kong
- International College of Football, Tongji University, Shanghai 200092, China; (J.K.); (M.Z.)
| | - Mengxue Zhang
- International College of Football, Tongji University, Shanghai 200092, China; (J.K.); (M.Z.)
| | - Tao Chen
- Department of Physical Education, Tongji University, Shanghai 200092, China;
| | - Linlin Zhao
- School of Physical Education, Shanghai Normal University, Shanghai 200234, China;
| | - Kun Wang
- Shanghai Dianfeng Sports Management Co., Ltd., Shanghai 200441, China;
| | - Qin Yang
- International College of Football, Tongji University, Shanghai 200092, China; (J.K.); (M.Z.)
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Domaradzki J, Koźlenia D. Muscular fitness profiles in relation to the response in body fat during school-based high-intensity intervention. J Sports Med Phys Fitness 2024; 64:550-559. [PMID: 38358366 DOI: 10.23736/s0022-4707.24.15586-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Abstract
BACKGROUND We aimed to assess the equivalence of the muscular fitness (MF) between body fat percentage (BFP) responders (RsBFP) and non-responders (NRsBFP) to school-based high-intensity interval training (HIIT). Adolescents aged 16 (N.=73, 42.5% of males) were identified as RsBFP (N.=45) or NRsBFP (N.=28). MF was assessed based on hand strength (HS), abdominal muscle strength (ABS), and leg power (VJ). METHODS Profile analysis showed distinct patterns of MF changes in both response categories. Despite the presence of parallelism (Wilks' Λ=0.979, Pillai's V=0.212, P=0.473), a gradient of increasing changes (HS-ABS-VJ) was found in the RsBFP, while a gradient of decreasing changes was shown in the NRsBFP, and a significant level of inequality (F(1,71)=7.823, P=0.047, partial eta-squared [η2p] 0.041). RESULTS One-way analysis showed a significant and moderate effect on VJ (F(1,71)=7.080, P=0.010, η2P=0.091), a close to significant effect on ABS (F(1,71)=3.300, P=0.074, η2P=0.044) and lack of an effect on HS (F(1,71)=0.699, P=0.406, η2P=0.010). The test of equal means across the condition categories (separately for RsBFP and NRsBFP) indicated that there was no multivariate statistically significant within-group effect (F(2, 70)=0.517, P=0.599). CONCLUSIONS The findings may help teachers assess the potential and indirect changes in muscle performance after employing a body weight intervention (based on the HIIT program). A more targeted approach to treating adolescents with excessive BF, in parallel with improving MF, can be individually tailored.
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Affiliation(s)
- Jarosław Domaradzki
- Faculty of Physical Education and Sport, Wrocław University of Health and Sport Sciences, Wroclaw, Poland
| | - Dawid Koźlenia
- Faculty of Physical Education and Sport, Wrocław University of Health and Sport Sciences, Wroclaw, Poland -
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3
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Dos Santos de Fontes PA, Zaniqueli D, Siqueira JH, Morra EA, Martinho LCAP, Oliosa PR, Mill JG, de Oliveira Alvim R. Role of muscle mass in the association between handgrip strength and blood pressure in children and adolescents. J Hum Hypertens 2024; 38:128-133. [PMID: 37770564 DOI: 10.1038/s41371-023-00863-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 09/15/2023] [Indexed: 09/30/2023]
Abstract
Studies have reported conflicting results on the association between handgrip strength (HGS) and blood pressure during childhood and adolescence. High multicollinearity involving somatic components that influence both HGS and blood pressure might be an important source of bias. This study sought to investigate the independent effects of HGS and muscle mass on blood pressure levels in children and adolescents. Muscle mass and fat mass (Multifrequency Electrical Bioimpedance) and systolic (SBP) and diastolic (DBP) blood pressure (Automatic oscillometric device) were assessed in 833 volunteers aged 6-18 years, of both sexes. Handgrip strength-for-age quartiles were calculated and participants were assigned to groups by HGS quartiles. Analysis of covariance was conducted to address the linear association between HGS and SBP adjusted for height, muscle mass, and fat mass. To test for linear trend, contrast analysis was conducted. Partial eta-squared was used to confirm or rule out a small significant effect of the independent variables on SBP. The effect size of HGS on SBP was not significant in both sexes. In girls, 1.7% of the between-groups variance in SBP was accounted for by muscle mass (P = 0.016). In boys, 2.3% and 1.8% of the between-groups variance in SBP was accounted for by muscle mass (P = 0.001) and height (P = 0.005), respectively. In conclusion, children with a more advanced physical maturity for their age, that is, who are taller, stronger, and have greater fat-free mass, may be nearly reaching the physiological parameters of adulthood, and consequently have higher systolic blood pressure.
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Affiliation(s)
| | - Divanei Zaniqueli
- Department of Physiological Sciences, Federal University of Espírito Santo, Vitória, ES, Brazil
| | | | - Elis Aguiar Morra
- Department of Physiological Sciences, Federal University of Espírito Santo, Vitória, ES, Brazil
| | | | - Polyana Romano Oliosa
- Postgraduate Program in Public Health, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - José Geraldo Mill
- Department of Physiological Sciences, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Rafael de Oliveira Alvim
- Postgraduate Program in Health Sciences, Federal University of Amazonas, Manaus, AM, Brazil.
- Department of Physiological Sciences, Federal University of Amazonas, Manaus, AM, Brazil.
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4
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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.
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5
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Caamaño-Navarrete F, Jerez-Mayorga D, Alvarez C, Del-Cuerpo I, Cresp-Barría M, Delgado-Floody P. Muscle Quality Index in Morbidly Obesity Patients Related to Metabolic Syndrome Markers and Cardiorespiratory Fitness. Nutrients 2023; 15:nu15112458. [PMID: 37299421 DOI: 10.3390/nu15112458] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 05/20/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Muscle quality index (MQI) is an emerging health indicator obtained by dividing handgrip strength by body mass index (BMI) that needs to be studied in morbidly obese patients (defined by BMI ≥ 35 kg/m2). OBJECTIVE To determine the association between MQI, metabolic syndrome (MetS) markers, and cardiorespiratory fitness (CRF), and as a second objective to determine the potential mediation role of MQI in the relationship between abdominal obesity and systolic blood pressure (SBP) in this sample. METHODS This cross-sectional study included 86 severely/morbidly obese patients (age = 41.1 ± 11.9 y, nine men). MQI, metabolic syndrome markers, CRF, and anthropometric parameters were measured. Two groups were developed according to MQI; High-MQI (n = 41) and Low-MQI (n = 45). RESULTS The Low-MQI group reported higher abdominal obesity (High-MQI: 0.7 ± 0.1 vs. Low-MQI: 0.8 ± 0.1 WC/height; p = 0.011), SBP (High-MQI: 133.0 ± 17.5 vs. Low-MQI: 140.1 ± 15.1 mmHg; p = 0.048), and lower CRF (High-MQI; 26.3 ± 5.9 vs. Low-MQI; 22.4 ± 6.1 mL/kg/min, p = 0.003) than the High-MQI group. Waist-to-height ratio (β: -0.07, p = 0.011), SBP (β: -18.47, p = 0.001), and CRF (β: 5.21, p = 0.011) were linked to MQI. In a mediation model, the indirect effect confirms that MQI is a partial mediator of the association between abdominal obesity with SBP. CONCLUSIONS MQI in morbidly obesity patients reported an inverse association with MetS markers and a positive association with CRF (VO2max). It mediates the relationship between abdominal obesity and SBP.
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Affiliation(s)
| | - Daniel Jerez-Mayorga
- Exercise and Rehabilitation Sciences Institute, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile
- Strength & Conditioning Laboratory, CTS-642 Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain
| | - Cristian Alvarez
- Exercise and Rehabilitation Sciences Institute, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile
| | - Indya Del-Cuerpo
- Strength & Conditioning Laboratory, CTS-642 Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain
| | - Mauricio Cresp-Barría
- Departamento de Educación e Innovación, Facultad de Educación, Universidad Católica de Temuco, Temuco 4780000, Chile
| | - Pedro Delgado-Floody
- Department of Physical Education, Sport and Recreation, Universidad de La Frontera, Temuco 4811230, Chile
- Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, 18011 Granada, Spain
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6
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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: 20] [Impact Index Per Article: 20.0] [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.
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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
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7
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Chuang HH, Cherng WJ, Lin CH, Lee LA, Hsu KH, Lin RH. Physical fitness mediates and predicts for high blood pressure among children in relation to weight status. Front Public Health 2023; 11:1157351. [PMID: 37143976 PMCID: PMC10151579 DOI: 10.3389/fpubh.2023.1157351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 03/16/2023] [Indexed: 05/06/2023] Open
Abstract
Background Pediatric hypertension contributes to adulthood hypertension and target organ damage. Obesity is a well-known predictor for pediatric hypertension; however, the relationship between physical fitness and blood pressure (BP) is unclear among children. This study aimed to compare the differences in demographics, anthropometrics, and physical fitness across BP subgroups and investigate whether physical fitness was related to pediatric hypertension independent of weight status. Methods This quantitative, cross-sectional study investigated demographic, anthropometric, physical fitness, and BP measures among 360 healthy school-aged children. Continuous variables were compared across BP subgroups with the one-way analysis of variance. Mediation and moderation analyses were used to explore the mechanism. Multivariable regression models were used to assess independent associations for hypertension. Results There were 177 (49.2%), 37 (10.3%), and 146 (40.6%) children in the normotensive, elevated BP, and hypertensive subgroups, respectively. The hypertensive subgroup had higher body mass index (BMI) and waist/height ratio percentiles and performed worse in 800-m run, standing long jump (SLJ), and 1-min sit-ups than the normotensive subgroup. Furthermore, the 800-m run percentile (total effect: β = 0.308, standard error = 0.044, p < 0.001) and sit and reach percentile (total effect: β = 0.308, standard error = 0.044, p < 0.001) mediated the relationship between the BMI percentile and systolic BP percentile; the SLJ percentile was directly associated with the diastolic BP percentile (β,-0.197, 95% confidence interval,-0.298-0.097; p < 0.001). The parsimonious model of multivariable regression models revealed that the SLJ percentile (adjusted exp (β), 0.992, 95% confidence interval, 0.985-0.999; p = 0.042) and BMI percentile (adjusted exp (β), 1.024, 95% confidence interval, 1.016-1.032; p < 0.001) were two independent predictors for pediatric hypertension. Conclusion Physical fitness mediates the relationship between anthropometric and BP measures. The SLJ percentile is associated with pediatric hypertension independent of the BMI percentile. Proactive screening and health promotion for not only healthy weight status but also good physical fitness may be beneficial for BP control among school-aged students.
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Affiliation(s)
- Hai-Hua Chuang
- Department of Family Medicine, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Metabolism and Obesity Institute, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, Taiwan
| | - Wen-Jin Cherng
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Cardiology, Department of Internal Medicine, Chang-Gung Memorial Hospital, Linkou Main Branch, Taoyuan, Taiwan
| | - Chih-Hung Lin
- Metabolism and Obesity Institute, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Plastic and Reconstructive Surgery, Linkou Main Branch, Chang-Gung Memorial Hospital, Taoyuan, Taiwan
| | - Li-Ang Lee
- Metabolism and Obesity Institute, Taipei and Linkou Main Branches, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, Taiwan
- Departments of Otorhinolaryngology-Head and Neck Surgery, Linkou Main Branch, Chang-Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kuang-Hung Hsu
- Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan
- Laboratory for Epidemiology, Department of Health Care Management, Chang Gung University, Taoyuan, Taiwan
- Department of Emergency Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Rong-Ho Lin
- Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, Taiwan
- *Correspondence: Rong-Ho Lin
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Köble K, Postler T, Oberhoffer-Fritz R, Schulz T. A Better Cardiopulmonary Fitness Is Associated with Improved Concentration Level and Health-Related Quality of Life in Primary School Children. J Clin Med 2022; 11:1326. [PMID: 35268421 PMCID: PMC8911456 DOI: 10.3390/jcm11051326] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/05/2022] [Accepted: 02/16/2022] [Indexed: 12/13/2022] Open
Abstract
This study aimed to examine the physical fitness (PF) levels of primary school children and to determine the associations among PF, concentration, and health-related quality of life (HRQOL) in a subcohort. PF was assessed in 6533 healthy primary school-age children (aged 6−10 years, 3248 boys and 3285 girls) via standardized test batteries. Concentration was measured with the d2-R test, and KINDL questionnaires were used to determine HRQOL. Analysis of variance showed an increase in PF with age in all PF dimensions (all p < 0.001), except cardiopulmonary fitness (estimated VO2max) in girls (p = 0.129). Boys performed better in nearly all PF dimensions, except curl-ups, in all children aged ≥7 years (p < 0.05). Concentration levels increased in boys and girls aged 7−9 years (p < 0.001), whereas HRQOL did not (p = 0.179). The estimated VO2max had a strong impact on concentration (β = 0.16, p < 0.001) and HRQOL (β = 0.21, p < 0.001) in 9- to 10-year-olds. Cardiopulmonary fitness is important for improved concentration and better HRQOL in primary school-age children. However, longitudinal data are needed to provide further insight into the intraindividual relationships of PF and concentration over the course of child development and set up targeted prevention programs.
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Affiliation(s)
- Katharina Köble
- Institute of Preventive Pediatrics, Technical University of Munich, 80992 Munich, Germany; (T.P.); (R.O.-F.); (T.S.)
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9
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Tozo TA, Pereira BO, Menezes FJD, Montenegro CM, Moreira CMM, Leite N. Family History of Hypertension: Impact on Blood Pressure, Anthropometric Measurements and Physical Activity Level in Schoolchildren. INTERNATIONAL JOURNAL OF CARDIOVASCULAR SCIENCES 2022. [DOI: 10.36660/ijcs.20200346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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10
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Sex Moderated Mediation of the Musculoskeletal Fitness in Relationship between High-Intensive Interval Training Performing during Physical Education Classes and Cardiorespiratory Fitness in Healthy Boys and Girls. BIOMED RESEARCH INTERNATIONAL 2022; 2022:8760620. [PMID: 35083335 PMCID: PMC8786534 DOI: 10.1155/2022/8760620] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 12/29/2021] [Indexed: 11/17/2022]
Abstract
High-intensive interval training (HIIT) is indicated as a means of improving cardiorespiratory fitness (CRF) and musculoskeletal fitness (MSF). The relationship between CRF and MSF was examined too. Little is known about gaining CRF from HIIT independence of MSF in adolescents. Therefore, this study is aimed at investigating whether MSF mediated the relationship between HIIT and CRF and whether sex moderate this relation. The study sample included 122 individuals (45 boys, 77 girls) 16.12 ± 0.38 years of secondary school age. Participants were assigned to the HIIT intervention or control groups. The intervention lasted 14 minutes during one physical education lesson per week for ten weeks. Outcome and potential mediator were residual changes calculated from pre- and postintervention results of MSF components: handgrip (HG), sit-ups (ABS), sit-and-reach (FL), vertical jump (VJ), and Harvard step-test representing cardiorespiratory fitness (CRF). MSF index (MSFI) was calculated as a construct, agglomerating all MSF, and tested its usefulness. HIIT significantly impacted CRF in boys and girls (B = 2.32, p = 0.032; B = 2.28, p = 0.005, respectively). The impact of the HIIT program on the ABS and FL was observed only in girls. The moderation effect of sex was confirmed. Significant effect of HIIT on CRF decreased (Bdirect < Btotal) and was no significant after including FL (B = 1.46, p = 0.62)—complete mediation, but no ABS (B = 2.97, p = 0.001)—partial mediation. CRF was mediated by changes in ABS (B = 2.28, p < 0.001) and FL (4.18, p < 0.001). MSFI was not mediating; its usefulness was limited. HIIT is an effective tool in the development of CRF in both sexes. MSF played a limited role in the relationship between HIIT and CRF. It suggested different mechanisms in both sexes: girls who performed better to the HIIT had better values of FL and ABS, but not boys. HIIT intervention involved modifications in ABS or FL, which also influenced the increase of CRF.
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de Lima TR, Martins PC, Moreno YMF, Chaput JP, Tremblay MS, Sui X, Silva DAS. Muscular Fitness and Cardiometabolic Variables in Children and Adolescents: A Systematic Review. Sports Med 2022; 52:1555-1575. [PMID: 35020179 DOI: 10.1007/s40279-021-01631-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND The importance of muscular fitness (MF) in the performance of activities of daily living is unequivocal. Additionally, emerging evidence has shown MF can reduce cardiometabolic risk in children and adolescents. OBJECTIVES The purpose of this study was to examine and summarize the evidence regarding the relationship between MF phenotypes (i.e., maximum muscular strength/power, muscular endurance, and maximum muscular strength/power/endurance) and cardiometabolic variables (obesity, blood pressure, lipids, glucose homeostasis, inflammatory markers, and clustered cardiometabolic variables) in children and adolescents. DESIGN This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and was registered with PROSPERO, number CRD42020179273. DATA SOURCES A systematic review was performed on five databases (PubMed, EMBASE, SciELO, Scopus, and Web of Knowledge) from database inception to May 2020, with complementary searches in reference lists. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Eligibility criteria included (1) a study sample of youth aged ≤ 19 years, (2) an assessment of MF with individual or clustered cardiometabolic variables derived from adjusted models (regardless of test/measurement adopted or direction of reported association), and (3) a report of the association between both, using observational studies. Only original articles published in peer-reviewed journals in English, Portuguese, and Spanish languages were considered. The quality of the included studies was assessed by using the National Heart, Lung, and Blood Institute checklist. The percentage of results reporting a statistically significant inverse association between each MF phenotype and cardiometabolic variables was calculated. RESULTS Of the 23,686 articles initially identified, 96 were included (77 cross-sectional and 19 longitudinal), with data from children and adolescents from 35 countries. The score for the quality of evidence ranged from 0.33 to 0.92 (1.00 maximum). MF assessed by maximum muscular strength/power was inversely associated with lower obesity (64/113 total results (56.6%)) and reduction in clustered cardiometabolic risk (28/48 total results (58.3%)). When assessed by muscular endurance, an inverse association with obesity (30/44 total results (68.1%)) and cardiometabolic risk (5/8 total results (62.5%)) was identified. Most of the results for the relationship between MF phenotypes with blood pressure, lipids, glucose homeostasis, and inflammatory markers indicated a paucity of evidence for these interrelationships (percentage of results below 50.0%). CONCLUSION MF assessed by maximum muscular strength/power or muscular endurance is potentially associated with lower obesity and lower risk related to clustered cardiometabolic variables in children and adolescents. There is limited support for an inverse association between MF with blood pressure, lipids, glucose homeostasis biomarkers, and inflammatory markers in children and adolescents.
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Affiliation(s)
- Tiago Rodrigues de Lima
- Research Center in Kinanthropometry and Human Performance, Sports Center, Federal University of Santa Catarina, University Campus, Trindade, Florianópolis, Santa Catarina, 88010-970, Brazil.
| | - Priscila Custódio Martins
- Research Center in Kinanthropometry and Human Performance, Sports Center, Federal University of Santa Catarina, University Campus, Trindade, Florianópolis, Santa Catarina, 88010-970, Brazil
| | - Yara Maria Franco Moreno
- Department of Nutrition, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | - Jean-Philippe Chaput
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Mark Stephen Tremblay
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Xuemei Sui
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Diego Augusto Santos Silva
- Research Center in Kinanthropometry and Human Performance, Sports Center, Federal University of Santa Catarina, University Campus, Trindade, Florianópolis, Santa Catarina, 88010-970, Brazil
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Bell JA, Wade KH, O’Keeffe LM, Carslake D, Vincent EE, Holmes MV, Timpson NJ, Davey Smith G. Body muscle gain and markers of cardiovascular disease susceptibility in young adulthood: A cohort study. PLoS Med 2021; 18:e1003751. [PMID: 34499663 PMCID: PMC8428664 DOI: 10.1371/journal.pmed.1003751] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 08/03/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The potential benefits of gaining body muscle for cardiovascular disease (CVD) susceptibility, and how these compare with the potential harms of gaining body fat, are unknown. We compared associations of early life changes in body lean mass and handgrip strength versus body fat mass with atherogenic traits measured in young adulthood. METHODS AND FINDINGS Data were from 3,227 offspring of the Avon Longitudinal Study of Parents and Children (39% male; recruited in 1991-1992). Limb lean and total fat mass indices (kg/m2) were measured using dual-energy X-ray absorptiometry scans performed at age 10, 13, 18, and 25 y (across clinics occurring from 2001-2003 to 2015-2017). Handgrip strength was measured at 12 and 25 y, expressed as maximum grip (kg or lb/in2) and relative grip (maximum grip/weight in kilograms). Linear regression models were used to examine associations of change in standardised measures of these exposures across different stages of body development with 228 cardiometabolic traits measured at age 25 y including blood pressure, fasting insulin, and metabolomics-derived apolipoprotein B lipids. SD-unit gain in limb lean mass index from 10 to 25 y was positively associated with atherogenic traits including very-low-density lipoprotein (VLDL) triglycerides. This pattern was limited to lean gain in legs, whereas lean gain in arms was inversely associated with traits including VLDL triglycerides, insulin, and glycoprotein acetyls, and was also positively associated with creatinine (a muscle product and positive control). Furthermore, this pattern for arm lean mass index was specific to SD-unit gains occurring between 13 and 18 y, e.g., -0.13 SD (95% CI -0.22, -0.04) for VLDL triglycerides. Changes in maximum and relative grip from 12 to 25 y were both positively associated with creatinine, but only change in relative grip was also inversely associated with atherogenic traits, e.g., -0.12 SD (95% CI -0.18, -0.06) for VLDL triglycerides per SD-unit gain. Change in fat mass index from 10 to 25 y was more strongly associated with atherogenic traits including VLDL triglycerides, at 0.45 SD (95% CI 0.39, 0.52); these estimates were directionally consistent across sub-periods, with larger effect sizes with more recent gains. Associations of lean, grip, and fat measures with traits were more pronounced among males. Study limitations include potential residual confounding of observational estimates, including by ectopic fat within muscle, and the absence of grip measures in adolescence for estimates of grip change over sub-periods. CONCLUSIONS In this study, we found that muscle strengthening, as indicated by grip strength gain, was weakly associated with lower atherogenic trait levels in young adulthood, at a smaller magnitude than unfavourable associations of fat mass gain. Associations of muscle mass gain with such traits appear to be smaller and limited to gains occurring in adolescence. These results suggest that body muscle is less robustly associated with markers of CVD susceptibility than body fat and may therefore be a lower-priority intervention target.
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Affiliation(s)
- Joshua A. Bell
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kaitlin H. Wade
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Linda M. O’Keeffe
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- School of Public Health, University College Cork, Cork, Ireland
| | - David Carslake
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Emma E. Vincent
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom
| | - Michael V. Holmes
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospital, Oxford, United Kingdom
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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Kidokoro T, Edamoto K. Improvements in Physical Fitness are Associated with Favorable Changes in Blood Lipid Concentrations in Children. JOURNAL OF SPORTS SCIENCE AND MEDICINE 2021; 20:404-412. [PMID: 34267579 DOI: 10.52082/jssm.2021.404] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 04/30/2021] [Indexed: 12/21/2022]
Abstract
Although accumulating evidence suggests the benefits of cardiorespiratory fitness and muscular fitness, little knowledge exists on how other physical fitness (PF) components are associated with cardiovascular disease (CVD) risk markers in children. Additionally, much of the relevant evidence is from longitudinal studies with CVD risk markers at a single time point (i.e., baseline) rather than changes in PF. The purpose of the present study was to examine whether initial 1-year changes in different performance measures of PF (i.e., endurance performance, muscular strength/endurance, flexibility, agility, and speed) can predict the subsequent changes (2-year change) in blood lipid concentrations in children. This 2-year longitudinal study included a total of 251 Japanese children (mean age 9.2 ± 0.4). PF tests were performed to comprehensively evaluate the participant's fitness levels (handgrip strength [upper body muscular strength], bent-leg sit-ups [muscular endurance], sit-and-reach [flexibility], side-step [agility], 20-meter shuttle run [endurance performance], 50-meter sprint [speed], standing long jump [lower body muscular strength], and softball throw [explosive arm strength and throwing ability]). Fasting lipid profile was assayed for triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and non-HDL-C concentration. Multilevel linear regressions were used to examine the associations between the preceding changes (over 1-year) in PF and subsequent changes (over 2-years) in blood lipid concentrations. We also examined the simultaneous associations between 2-year changes in PF and 2-year changes in blood lipid concentrations. For boys, preceding improvement in handgrip strength was negatively associated with TG concentration (β = -0.260, p = 0.030); improvements in bent-leg sit-ups were negatively associated with clustered lipid scores (β = -0.301, p = 0.038) and non-HDL-C (β = -0.310, p = 0.044); and improvements in 50m sprinting were associated with subsequent changes in non-HDL-C (β = 0.348, p = 0.006) and LDL-C (β = 0.408, p = 0.001). For girls, improvements in handgrip strength was negatively associated with TG concentration (β = -0.306, p = 0.017); and improvements in standing long jump were negatively associated with non-HDL-C (β = -0.269, p = 0.021) and LDL-C (β = -0.275, p = 0.019). For boys and girls, there were no significant simultaneous associations between 2-year changes in PF and 2-year changes in blood lipid concentrations. In conclusion, preceding change in physical fitness in relation to change in blood lipid concentration likely reflect a physiological adaptation to growth and maturation since these associations diminished in the subsequent year.
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Affiliation(s)
- Tetsuhiro Kidokoro
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, Tokyo, Japan.,Faculty of Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Kanako Edamoto
- Department of Education, Faculty of Letters, Kanazawa Gakuin University, Ishikawa, Japan
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Perez-Bey A, Delgado-Alfonso A, Aadland E, Resaland GK, Martinez-Gomez D, Veiga OL, Ponce-Gonzalez JG, Castro-Piñero J. Fitness, waist circumference and their association with future blood pressure in youth: The UP&DOWN Longitudinal Study. J Sci Med Sport 2021; 24:573-579. [PMID: 33674186 DOI: 10.1016/j.jsams.2021.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 11/27/2020] [Accepted: 02/02/2021] [Indexed: 10/22/2022]
Abstract
OBJECTIVES The aim was to determine the independent associations of muscular fitness (MF), cardiorespiratory fitness (CRF) and waist circumference (WC) with blood pressure (BP) levels over 2 years in children and adolescents. METHODS 1089 children (517 females) and 787 adolescents (378 females) with complete data on fitness, WC and BP (systolic [SBP] and diastolic [DBP]) were included. Upper MF was assessed through the handgrip strength test, and lower MF using the standing long jump test. The 20-m shuttle run test was used to assess CRF. WC was obtained following standardized methods. Different regression models were fitted by introducing fitness and WC at baseline and their changes as exposures and BP at follow-up and their changes as outcomes. RESULTS WC at baseline was positively and independently associated with each BP variable at follow-up in children and adolescents (β=0.094-0.260; p≤0.05), and CRF was negatively associated with DBP in adolescents (β=-0.096; p=0.034). WC changes were associated with BP variables 2 years later in children (β=0.121-0.142; p<0.01). In adolescents, changes in upper MF (β=-0.116; p=0.001) and WC (β=0.080-0.098; p<0.05) were associated with SBP at follow-up. WC changes were independently associated with changes in each BP variable in children (β=0.111-0.145; all p<0.05) and SBP changes in adolescents (β=0.103 to 0.117; all p<0.01). CONCLUSIONS WC, but neither MF nor CRF, is independently associated with BP and its changes over 2 years. The attainment or maintenance of optimal fatness levels in the pediatric population should be highly encouraged for the prevention of future hypertension.
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Affiliation(s)
- Alejandro Perez-Bey
- GALENO Research group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Spain; Biomedical Research and Innovation Institute of Cádiz (INiBICA). Cádiz, Spain.
| | - Alvaro Delgado-Alfonso
- GALENO Research group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Spain
| | - Eivind Aadland
- Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Geir K Resaland
- Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway
| | - David Martinez-Gomez
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid/IdiPaz, CIBER of Epidemiology and Public Health (CIBERESP), Spain; IMDEA Food Institute, CEI UAM+CSIC, Spain
| | - Oscar L Veiga
- Department of Physical Education, Sports and Human Movement, Faculty of Teacher Training and Education, Autonomous University of Madrid, Spain
| | - Jesus G Ponce-Gonzalez
- Biomedical Research and Innovation Institute of Cádiz (INiBICA). Cádiz, Spain; MOVE-IT Research group and Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Spain
| | - Jose Castro-Piñero
- GALENO Research group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Spain; Biomedical Research and Innovation Institute of Cádiz (INiBICA). Cádiz, Spain
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15
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Costa RM, Minatto G, Costa BGG, Silva KS. Clustering of 24-h movement behaviors associated with cardiorespiratory fitness among adolescents: a latent class analysis. Eur J Pediatr 2021; 180:109-117. [PMID: 32556508 DOI: 10.1007/s00431-020-03719-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/31/2020] [Accepted: 06/06/2020] [Indexed: 11/28/2022]
Abstract
This study aimed to examine the clustering of 24-h movement behaviors (moderate to vigorous physical activity, screen time, and sleep duration) and their association with cardiorespiratory fitness among adolescents. We evaluated 561 adolescents (52.1% girls; mean age, 13.0 ± 1.0 years) from Florianópolis, Brazil. A 20-m shuttle run was used to assess cardiorespiratory fitness, while a questionnaire was used to measure 24-h movement behaviors. A latent class analysis was performed to identify the clustering of 24-h movement behaviors, while linear Bayesian mixed-effect regression models were applied to identify their association with cardiorespiratory fitness. Two classes were identified: unhealthy (10.4%), characterized as a high probability of practicing less than 300 min/week of moderate to vigorous physical activity, spending more than 4 h/day in front of screens, and sleeping less than 8 h/day; and healthy (89.6%), characterized by a high probability of practicing more than 420 min/week of moderate to vigorous physical activity, spending less than 2 h/day in front of screens, and sleeping 8-10 h/day. Adolescents in the healthy class had a higher cardiorespiratory fitness level than those in the unhealthy class. Most adolescents were grouped in the healthy class and had higher cardiorespiratory fitness levels than those in the unhealthy class. These results suggest that families and professionals should work toward creating healthier lifestyles for adolescents by increasing opportunities to practice moderate to vigorous physical activity, reduce screen time, and favor healthy sleep to increase their cardiorespiratory fitness levels. What is Known: • Moderate to vigorous physical activity, screen time, and sleep duration are positively, negatively, and inconsistently associated with cardiorespiratory fitness, respectively, when analyzed separately. • Little is known about the clustering of 24-h movement behaviors and how they are associated with cardiorespiratory fitness levels in adolescents. What is New: • The 24-h movement behaviors clustered into almost opposite classes among adolescents (healthy and unhealthy classes). • Adolescents in the healthy class had greater cardiorespiratory fitness levels than those in the unhealthy class.
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Affiliation(s)
- Rafael M Costa
- Research Center for Physical Activity and Health (NuPAF), School of Sports, Federal University of Santa Catarina, Campus João David Ferreira Lima Trindade, Florianópolis, Santa Catarina, 88040-900, Brazil.
| | - Giseli Minatto
- Research Center for Physical Activity and Health (NuPAF), School of Sports, Federal University of Santa Catarina, Campus João David Ferreira Lima Trindade, Florianópolis, Santa Catarina, 88040-900, Brazil
| | - Bruno G G Costa
- Research Center for Physical Activity and Health (NuPAF), School of Sports, Federal University of Santa Catarina, Campus João David Ferreira Lima Trindade, Florianópolis, Santa Catarina, 88040-900, Brazil
| | - Kelly S Silva
- Research Center for Physical Activity and Health (NuPAF), School of Sports, Federal University of Santa Catarina, Campus João David Ferreira Lima Trindade, Florianópolis, Santa Catarina, 88040-900, Brazil
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16
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Kirkland MC, Wadden KP, Ploughman M. Bipedal hopping as a new measure to detect subtle sensorimotor impairment in people with multiple sclerosis. Disabil Rehabil 2020; 44:1544-1555. [PMID: 32955951 DOI: 10.1080/09638288.2020.1820585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Bipedal hopping has the potential to detect subtle multiple sclerosis (MS)-related impairments, especially among patients who "pass" typical movement tests. In this narrative review, we outline the biomechanics of bipedal hopping and propose its usefulness as a novel outcome measure for people with MS having mild disability. METHODS We summarize articles that (1) examined the biomechanics of jumping or hopping and (2) tested the validity and/or reliability of hopping tests. We consolidated consistencies and gaps in research and opportunities for future development of the bipedal hop test. RESULTS Bipedal hopping requires immense power, coordination, balance, and ability to reduce co-contraction; movement components typically affected by MS. These impairments can be measured and differentiated by examining specific variables, such as hop length (power), symmetry (coordination), center of pressure (balance), and coefficient of variability (co-contraction/spasticity). Bipedal hopping challenges these aspects of movement and exposes sensorimotor impairments that may not have been apparent during walking. CONCLUSIONS Testing of bipedal hopping on an instrumented walkway may detect and monitor sensorimotor control in people with MS who do not currently present with clinical deficits. Early measurement is imperative for precise rehabilitation prescription to slow disability progression prior to onset of measurable gait impairment.Implications for rehabilitationJumping and hopping tests detect lower limb and balance impairments in children, athletes, and older adults.Bipedal hop test measures multiple domains: power, coordination, balance, and muscle timing.Bipedal hop test may expose subtle sensorimotor impairments in people with multiple sclerosis.Multiple variables measured can discern type of sensorimotor impairment to direct personalized rehabilitation programs.
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Affiliation(s)
- Megan C Kirkland
- Recovery & Performance Laboratory, Faculty of Medicine, Memorial University, St. John's, Newfoundland and Labrador, Canada
| | - Katie P Wadden
- Recovery & Performance Laboratory, Faculty of Medicine, Memorial University, St. John's, Newfoundland and Labrador, Canada
| | - Michelle Ploughman
- Recovery & Performance Laboratory, Faculty of Medicine, Memorial University, St. John's, Newfoundland and Labrador, Canada
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17
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Tozo TA, Pereira BO, Menezes Junior FJD, Montenegro CM, Moreira CMM, Leite N. Hypertensive Measures In Schoolchildren: Risk Of Central Obesity And Protective Effect Of Moderate-To-Vigorous Physical Activity. Arq Bras Cardiol 2020; 115:42-49. [PMID: 32785497 PMCID: PMC8384320 DOI: 10.36660/abc.20180391] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 06/18/2019] [Accepted: 07/17/2019] [Indexed: 12/21/2022] Open
Abstract
Background The proportion of arterial hypertension (AH) has increased in children and adolescents and is associated with several comorbidities. Objective To verify the association of arterial hypertension with central and general obesity as well as according to the level of physical activity in schoolchildren. Methods 336 children and adolescents aged 11 to 17 participated in the study. Height, body weight, waist circumference (WC) and blood pressure (BP) were measured. The body mass index z-score (BMI-z) was calculated. The level of physical activity was assessed by the short form of the International Physical Activity Questionnaire (IPAQ) according to the practice of moderate-to-vigorous physical activities (AF-mv). Students with systolic (SBP) and/or diastolic blood pressure (DBP) higher than the 95thpercentile according to sex, age and height or ≥120/80 were considered hypertensive. Statistical tests of t-Student, Chi-square, Mann-Whitney and binary logistic regression model were used, considering the significance level of p<0.05. Results It was found that 40.5% of the students had AH, 35.11% were overweight (12.5% obese), 13.39% had high WC and 40.2% were considered insufficiently active in AF-mv. The chances of AH were related to high WC (OR = 6.11; 95% CI: 2.59¬-14.42) and overweight (OR = 2.91; 95% CI: 1.76-4.79). In addition, adolescents who practiced AF-mv had a lower risk of high DBP (OR = 0.33; 95% CI: 0.15-0.72). Conclusion Central obesity was the best predictor of AH in children and adolescents, as well as general obesity and males. The practice of AF-mv demonstrated a protective effect on high DBP in schoolchildren. (Arq Bras Cardiol. 2020; 115(1):42-49).
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Affiliation(s)
| | | | | | | | | | - Neiva Leite
- Universidade Federal do Paraná, Curitiba, PR, Brasil
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18
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García-Hermoso A, Ramírez-Campillo R, Izquierdo M. Is Muscular Fitness Associated with Future Health Benefits in Children and Adolescents? A Systematic Review and Meta-Analysis of Longitudinal Studies. Sports Med 2020; 49:1079-1094. [PMID: 30953308 DOI: 10.1007/s40279-019-01098-6] [Citation(s) in RCA: 266] [Impact Index Per Article: 66.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND No previous systematic review has quantitatively examined the association between muscular fitness during childhood and adolescence and health parameters later in life. OBJECTIVE The aim was to systematically review and meta-analyze the current evidence for a prospective association between muscular fitness in childhood and adolescence and future health status. METHODS Two authors systematically searched MEDLINE, EMBASE and SPORTDiscus electronic databases and conducted manual searching of reference lists of selected articles. Relevant articles were identified by the following criteria: apparently healthy children and adolescents aged 3-18 years with muscular fitness assessed at baseline (e.g., handgrip, standing long jump, sit-ups, among others), and a follow-up period of ≥ 1 year. The outcome measures were anthropometric and adiposity measurements and cardiometabolic, bone and musculoskeletal health parameters. Two authors independently extracted data. RESULTS Thirty studies were included in the meta-analysis, yielding a total of 21,686 participants. The meta-analysis found a significant, moderate-large (p < 0.05) effect size between muscular fitness at baseline and body mass index (r = - 0.14; 95% confidence interval (CI) - 0.21 to - 0.07), skinfold thickness (r = - 0.32; 95% CI - 0.40 to - 0.23), homeostasis model assessment estimated insulin resistance (r = - 0.10; 95% CI - 0.16 to - 0.05), triglycerides (r = - 0.22; 95% CI - 0.30 to - 0.13), cardiovascular disease risk score (r = - 0.29; 95% CI - 0.39 to - 0.18), and bone mineral density (r = 0.166; 95% CI 0.086 to 0.243) at follow-up. CONCLUSION A prospective negative association was observed between muscular fitness in childhood/adolescence and adiposity and cardiometabolic parameters in later life, together with a positive association for bone health. There is inconclusive evidence for low back pain benefits.
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Affiliation(s)
- Antonio García-Hermoso
- Navarrabiomed, IdiSNa, Pamplona, Navarra, Spain. .,Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Santiago, Chile.
| | - Rodrigo Ramírez-Campillo
- Laboratory of Human Performance, Quality of Life and Wellness Research Group, Department of Physical Activity Sciences, Universidad de Los Lagos (University of Los Lagos), Osorno, Chile
| | - Mikel Izquierdo
- Navarrabiomed, IdiSNa, Pamplona, Navarra, Spain.,Department of Health Sciences, Public University of Navarre, CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Pamplona, Navarra, Spain
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19
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Evaristo S, Moreira C, Lopes L, Oliveira A, Abreu S, Agostinis-Sobrinho C, Oliveira-Santos J, Póvoas S, Santos R, Mota J. Muscular fitness and cardiorespiratory fitness are associated with health-related quality of life: Results from labmed physical activity study. J Exerc Sci Fit 2019; 17:55-61. [PMID: 30740134 PMCID: PMC6353732 DOI: 10.1016/j.jesf.2019.01.002] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 01/04/2019] [Accepted: 01/07/2019] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Adolescents' physical fitness levels are an important indicator of their lifestyle and seem to have positive consequences in health-related quality of life (HRQoL). OBJECTIVE The purpose of this study is to analyse the combined associations of cardiorespiratory fitness and muscular fitness with HRQoL and to assess the differences between HRQoL scores across groups of cardiorespiratory fitness and muscular fitness in Portuguese adolescents. DESIGN This is a cross-sectional analysis with 567 Portuguese adolescents aged 12-18 years-old. METHODS HRQoL was measured using the Kidscreen-10 questionnaire. Cardiorespiratory fitness was estimated with the 20-m shuttle-run test. Muscular fitness was evaluated using the handgrip and the standing long jump tests and a muscular fitness index was computed by means of standardized measures of both tests. Socioeconomic status was assessed using the Family Affluence Scale. Body composition (body mass and height) was measured according to standard protocols. Accelerometers were used to obtain objective physical activity time. Pubertal stage was assessed using Tanner stages. Adherence to the Mediterranean diet was assessed using the KIDMED index. Participants were divided into four groups based on low or high values of both cardiorespiratory and muscular fitness. Regression analysis, mediation analysis and ANCOVA were performed. RESULTS HRQoL was positively associated with cardiorespiratory fitness (B = 0.112; p < 0.05) and muscular fitness score (B = 0.328 p < 0.05), after controlling for potential confounders. However, when both fitness variables were entered in the same model only cardiorespiratory fitness remained significantly associated with HRQoL (B = 0.093 p < 0.05). Cardiorespiratory fitness acted as a full mediator variable on the relationship between muscular fitness and HRQoL in adolescents (p < 0.05). ANCOVA showed that adolescents with high cardiorespiratory fitness/high muscular fitness exhibit better HRQoL scores when compared to those with low muscular fitness/low cardiorespiratory fitness and with those with low muscular fitness/high cardiorespiratory fitness (p < 0.05). CONCLUSIONS In adolescents, the combination of high cardiorespiratory fitness and high muscular fitness was positively associated with a better HRQoL.
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Affiliation(s)
- Sofia Evaristo
- Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Portugal
| | - Carla Moreira
- Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Portugal
| | - Luís Lopes
- Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Portugal
| | - André Oliveira
- Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Portugal
| | - Sandra Abreu
- Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Portugal
| | - César Agostinis-Sobrinho
- Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Portugal
- Faculty of Health Sciences, Klaipeda University, Klaipeda, 92294, Lithuania
| | - José Oliveira-Santos
- Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Portugal
| | - Susana Póvoas
- Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, University Institute of Maia, ISMAI, Maia, Portugal
| | - Rute Santos
- Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Portugal
| | - Jorge Mota
- Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Portugal
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