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Dos Anjos Souza VR, Vivan L, Seffrin A, Vallini L, de Paula Domingos F, de Lira CAB, Vancini RL, Weiss K, Rosemann T, Knechtle B, Andrade MS. Impact of aging on maximal oxygen uptake in female runners and sedentary controls. Exp Gerontol 2024; 193:112476. [PMID: 38830478 DOI: 10.1016/j.exger.2024.112476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 05/09/2024] [Accepted: 05/31/2024] [Indexed: 06/05/2024]
Abstract
The present study aimed to compare V̇O2max (absolute, adjusted to total body mass, and adjusted to lean mass) in recreational runners and sedentary women < and > 50 yr and verify the effect of aging and physical activity level on the three types of V̇O2 max expression. The study included 147 women:85 runners (45.7 ± 14.1 yr) and 62 sedentary controls (48.8 ± 9.8 yr). They were subjected to cardiopulmonary exercise testing for V̇O2 max measurement and a body composition test by dual-emission X-ray absorptiometry system. V̇O2max were expressed as absolute values (L/min), relative to total body mass values (mL/kg/min), and relative to lean mass values (mL/kgLM/min). The two-way analysis of variance revealed a significant interaction [F(2,131) = 4.43, p < 0.001] and effects of age group [F(2,131) = 32.79, p < 0.001] and physical activity group [F(2,131) = 55.64, p < 0.001] on V̇O2max (mL/min). V̇O2max (mL/kg/min) and V̇O2 max (mL/kgLM/min) were significantly influenced by age and physical activity levels. The multiple regression model explains 76.2 % of the dependent variable V̇O2max (mL/kg/min), age (β = -0.335, t = -7.841, p < 0.001), and physical activity group (β = -0.784, t = -18.351, p < 0.001). In conclusion, female runners had higher V̇O2 max values than sedentary women at all ages, even though aging has a greater impact on V̇O2 max in the runners group. In addition to cardiorespiratory fitness, women's metabolic lean mass function, as measured by V̇O2max adjusted by lean mass, is significantly influenced by aging. Finally, physical activity has a greater impact on V̇O2 max levels than aging.
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Affiliation(s)
| | - Lavínia Vivan
- Postgraduate Program in Translation Medicine, Federal University of São Paulo, São Paulo, São Paulo, Brazil
| | - Aldo Seffrin
- Postgraduate Program in Translation Medicine, Federal University of São Paulo, São Paulo, São Paulo, Brazil
| | - Lucca Vallini
- Postgraduate Program in Translation Medicine, Federal University of São Paulo, São Paulo, São Paulo, Brazil
| | - Fabio de Paula Domingos
- Postgraduate Program in Translation Medicine, Federal University of São Paulo, São Paulo, São Paulo, Brazil.
| | - Claudio Andre Barbosa de Lira
- Human and Exercise Physiology Division, Faculty of Physical Education and Dance, Federal University of Goiás, Goiânia, Goiás, Brazil.
| | - Rodrigo Luiz Vancini
- Center for Physical Education and Sports, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Katja Weiss
- Institute of Primary Care, University of Zurich, Zurich, Switzerland.
| | - Thomas Rosemann
- Institute of Primary Care, University of Zurich, Zurich, Switzerland.
| | - Beat Knechtle
- Institute of Primary Care, University of Zurich, Zurich, Switzerland; Medbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland.
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Is cardiorespiratory fitness a moderator of the relationship between sugar-sweetened beverage consumption and insulin resistance in schoolchildren? Eur J Nutr 2023; 62:213-220. [PMID: 35941230 DOI: 10.1007/s00394-022-02965-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 07/08/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE The aim of this study was to determine whether cardiorespiratory fitness (CRF) decreases the association between insulin resistance and sugar-sweetened beverage (SSB) consumption in a population-based sample of Spanish schoolchildren. METHODS This is a cross-sectional study including 430 schoolchildren (51.4% girls), aged 8-12 years, from 10 schools in Cuenca (Spain). Blood samples were drawn to measure fasting insulin levels. Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) was also assessed. Data on SSB consumption were gathered using the Children's Eating Habits Questionnaire, which was completed by parents. The CRF level was determined by the 20 m Shuttle Run test and a curvilinear allometric model. RESULTS Our conditional regression estimates showed that CRF moderated the association of SSB consumption on insulin levels or HOMA-IR. In children who had levels of CRF < 34.4 ml/kg/min ml/kg/min (for insulin levels) or < 33.6 ml/kg/min (for HOMA-IR), the association between SSB consumption and fasting insulin levels or HOMA-IR raised. Among children with CRF levels between 34.4 and 52.1 ml/kg/min (for insulin levels) or 33.6-55.4 ml/kg/min (for HOMA-IR), the association of SSB consumption on insulin level or HOMA-IR neither increased nor decreased. Among children with CRF levels > 52.1 ml/kg/min (for insulin levels) or > 55.4 ml/kg/min (for HOMA-IR), the association of SSB consumption on fasting insulin levels or HOMA-IR decreased. CONCLUSIONS Our results showed that certain levels of CRF moderate the association between SSB consumption and insulin resistance in a population-based sample of Spanish schoolchildren.
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Haapala EA, Tompuri T, Lintu N, Viitasalo A, Savonen K, Lakka TA, Laukkanen JA. Is low cardiorespiratory fitness a feature of metabolic syndrome in children and adults? J Sci Med Sport 2022; 25:923-929. [DOI: 10.1016/j.jsams.2022.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 05/18/2022] [Accepted: 08/02/2022] [Indexed: 11/29/2022]
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Cross-sectional associations of body size indicators and lifestyle behaviors with cardiorespiratory fitness among adolescents: an allometric approach. SPORT SCIENCES FOR HEALTH 2022. [DOI: 10.1007/s11332-022-00952-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Assessment of aerobic exercise capacity in obesity, which expression of oxygen uptake is the best? SPORTS MEDICINE AND HEALTH SCIENCE 2021; 3:138-147. [PMID: 35784518 PMCID: PMC9219259 DOI: 10.1016/j.smhs.2021.01.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 01/27/2021] [Accepted: 01/30/2021] [Indexed: 11/24/2022] Open
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Usui C, Kawakami R, Tanisawa K, Ito T, Tabata H, Iizuka S, Kawamura T, Midorikawa T, Sawada SS, Torii S, Sakamoto S, Suzuki K, Ishii K, Oka K, Muraoka I, Higuchi M. Visceral fat and cardiorespiratory fitness with prevalence of pre-diabetes/diabetes mellitus among middle-aged and elderly Japanese people: WASEDA'S Health Study. PLoS One 2020; 15:e0241018. [PMID: 33079960 PMCID: PMC7575118 DOI: 10.1371/journal.pone.0241018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 10/06/2020] [Indexed: 12/29/2022] Open
Abstract
The relationships between cardiorespiratory fitness (CRF) measurements not confounded by adiposity and the prevalence of pre-diabetes mellitus (pre-DM) and diabetes mellitus (DM) are not well known. Thus, we aimed to investigate the associations of visceral fat (VF) and CRF with the prevalence of pre-DM/DM among Japanese adults. The study included 970 individuals (327 women and 643 men) who were 40-87 years old and had complete health examinations, abdominal fat area, and fitness data from WASEDA'S Health Study during 2015-2018. The VF area was measured using magnetic resonance imaging. CRF was measured using a cycle ergometer and was defined as VO2peak divided by fat free mass. The pre-DM/DM was identified based on the questionnaire and fasting blood tests. The odds ratios (ORs) and 95% confidence intervals (CIs) for prevalence of pre-DM/DM were calculated. Seventy-three participants had pre-DM and 48 participants had DM. Compared to the low VF group, the high VF group had a higher prevalence of pre-DM/DM (OR: 1.87, 95% CI: 1.18-2.96), although no significant relationship was observed between CRF and pre-DM/DM prevalence (P for trend = 0.239). The sub-group analyses also revealed no significant relationship between CRF and pre-DM/DM prevalence in the low VF group (P for trend = 0.979), although CRF values were inversely related to the prevalence of pre-DM/DM in the high VF group (P for trend = 0.024). Although CRF was not independently related to the prevalence of pre-DM/DM after adjusting for adiposity, higher VF values were related to a higher prevalence of pre-DM/DM. In addition, CRF levels were inversely associated with the prevalence of pre-DM/DM only among high VF individuals.
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Affiliation(s)
- Chiyoko Usui
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
- * E-mail:
| | - Ryoko Kawakami
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Kumpei Tanisawa
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Tomoko Ito
- Waseda Institute for Sport Sciences, Waseda University, Saitama, Japan
| | - Hiroki Tabata
- Waseda Institute for Sport Sciences, Waseda University, Saitama, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Satoshi Iizuka
- Waseda Institute for Sport Sciences, Waseda University, Saitama, Japan
- Department of Sport Sciences, Japan Institute of Sports Sciences, Tokyo, Japan
| | - Takuji Kawamura
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Taishi Midorikawa
- Waseda Institute for Sport Sciences, Waseda University, Saitama, Japan
- College of Health and Welfare, J. F. Oberlin University, Tokyo, Japan
| | | | - Suguru Torii
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Shizuo Sakamoto
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | | | - Kaori Ishii
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Koichiro Oka
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Isao Muraoka
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Mitsuru Higuchi
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
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Haapala EA, Wiklund P, Lintu N, Tompuri T, Väistö J, Finni T, Tarkka IM, Kemppainen T, Barker AR, Ekelund U, Brage S, Lakka TA. Cardiorespiratory Fitness, Physical Activity, and Insulin Resistance in Children. Med Sci Sports Exerc 2020; 52:1144-1152. [PMID: 31764464 PMCID: PMC7358077 DOI: 10.1249/mss.0000000000002216] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE Few studies have investigated the independent and joint associations of cardiorespiratory fitness (CRF) and body fat percentage (BF%) with insulin resistance in children. We investigated the independent and combined associations of CRF and BF% with fasting glycemia and insulin resistance and their interactions with physical activity (PA) and sedentary time among 452 children age 6 to 8 yr. METHODS We assessed CRF with a maximal cycle ergometer exercise test and used allometrically scaled maximal power output (Wmax) for lean body mass (LM) and body mass (BM) as measures of CRF. The BF% and LM were measured by dual-energy X-ray absorptiometry, fasting glycemia by fasting plasma glucose, and insulin resistance by fasting serum insulin and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). The PA energy expenditure, moderate-to-vigorous PA (MVPA), and sedentary time were assessed by combined movement and heart rate sensor. RESULTS Wmax/LM was not associated with glucose (β = 0.065, 95% confidence interval [CI] = -0.031 to 0.161), insulin (β = -0.079, 95% CI = -0.172 to 0.015), or HOMA-IR (β = -0.065, 95% CI = -0.161 to 0.030). Wmax/BM was inversely associated with insulin (β = -0.289, 95% CI = -0.377 to -0.200) and HOMA-IR (β = -0.269, 95% CI = -0.359 to -0.180). The BF% was directly associated with insulin (β = 0.409, 95% CI = 0.325 to 0.494) and HOMA-IR (β = 0.390, 95% CI = 0.304 to 0.475). Higher Wmax/BM, but not Wmax/LM, was associated with lower insulin and HOMA-IR in children with higher BF%. Children with higher BF% and who had lower levels of MVPA or higher levels of sedentary time had the highest insulin and HOMA-IR. CONCLUSIONS Children with higher BF% together with less MVPA or higher levels of sedentary time had the highest insulin and HOMA-IR. Cardiorespiratory fitness appropriately controlled for body size and composition using LM was not related to insulin resistance among children.
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Affiliation(s)
| | | | - Niina Lintu
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, FINLAND
| | | | - Juuso Väistö
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, FINLAND
| | - Taija Finni
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - Ina M Tarkka
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - Titta Kemppainen
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - Alan R Barker
- Children's Health and Exercise Research Centre, University of Exeter, Exeter, UNITED KINGDOM
| | - Ulf Ekelund
- Norwegian School of Sports Science, Oslo, NORWAY
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UNITED KINGDOM
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Commentary on the Article "Interpreting Aerobic Fitness in Youth: The Fallacy of Ratio Scaling"-Is Body Mass the Best Body Size Descriptor to Normalize Aerobic Fitness in the Pediatric Population? Pediatr Exerc Sci 2019; 31:386-387. [PMID: 31310999 DOI: 10.1123/pes.2019-0085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 05/02/2019] [Accepted: 05/06/2019] [Indexed: 11/18/2022]
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Kamel M, Smith BT, Wahi G, Carsley S, Birken CS, Anderson LN. Continuous cardiometabolic risk score definitions in early childhood: a scoping review. Obes Rev 2018; 19:1688-1699. [PMID: 30223304 DOI: 10.1111/obr.12748] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 06/25/2018] [Accepted: 07/06/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Cardiometabolic risk (CMR) in young children has been measured using various approaches, including a continuous summary score that incorporates components such as adiposity, lipids, metabolic factors and blood pressure. OBJECTIVES The objective of this study was to comprehensively review definitions of continuous CMR scores in children <10 years of age. METHODS A scoping review was conducted using a systematic search of four scientific databases up to June 2016. Inclusion criteria were children <10 years of age and report of a continuous CMR score. RESULTS Ninety-one articles were included. Most studies were published from 2007 to 2016 (96%). Nearly all continuous CMR scores (90%) were calculated using the sum or the mean of z-scores, and many articles age-standardized and sex-standardized components within their own population. The mean number of variables included in the risk scores was 5 with a range of 3-11. The most commonly included score components were waist circumference (52%), triglycerides (87%), high-density lipoprotein cholesterol (67%), glucose (43%) and systolic blood pressure (52%). IMPORTANCE Continuous CMR scores are emerging frequently in the child health literature and are calculated using numerous methods with diverse components. This heterogeneity limits comparability across studies. A harmonized definition of CMR in childhood is needed.
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Affiliation(s)
- M Kamel
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - B T Smith
- Public Health Ontario, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - G Wahi
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - S Carsley
- Public Health Ontario, Toronto, Ontario, Canada.,Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - C S Birken
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - L N Anderson
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
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Aadland E, Anderssen SA, Andersen LB, Resaland GK, Kolle E, Steene-Johannessen J. Aerobic fitness thresholds to define poor cardiometabolic health in children and youth. Scand J Med Sci Sports 2018; 29:240-250. [DOI: 10.1111/sms.13330] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 06/27/2018] [Accepted: 10/25/2018] [Indexed: 12/31/2022]
Affiliation(s)
- Eivind Aadland
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports; Western Norway University of Applied Sciences; Sogndal Norway
| | - Sigmund Alfred Anderssen
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports; Western Norway University of Applied Sciences; Sogndal Norway
- Department of Sports Medicine; Norwegian School of Sport Sciences; Oslo Norway
| | - Lars Bo Andersen
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports; Western Norway University of Applied Sciences; Sogndal Norway
- Department of Sports Medicine; Norwegian School of Sport Sciences; Oslo Norway
| | - Geir Kåre Resaland
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports; Western Norway University of Applied Sciences; Sogndal Norway
| | - Elin Kolle
- Department of Sports Medicine; Norwegian School of Sport Sciences; Oslo Norway
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Agbaje AO, Haapala EA, Lintu N, Viitasalo A, Barker AR, Takken T, Tompuri T, Lindi V, Lakka TA. Peak oxygen uptake cut-points to identify children at increased cardiometabolic risk - The PANIC Study. Scand J Med Sci Sports 2018; 29:16-24. [PMID: 30230064 DOI: 10.1111/sms.13307] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 08/20/2018] [Accepted: 09/13/2018] [Indexed: 11/27/2022]
Abstract
We aimed to develop cut-points for directly measured peak oxygen uptake ( V ˙ O 2 peak ) to identify boys and girls at increased cardiometabolic risk using different scaling methods to control for body size and composition. Altogether 352 children (186 boys, 166 girls) aged 9-11 years were included in the analyses. We measured V̇O2peak directly during a maximal cycle ergometer exercise test and lean body mass (LM) by bioelectrical impedance. We computed a sex- and age-specific cardiometabolic risk score (CRS) by summing important cardiometabolic risk factors and defined increased cardiometabolic risk as >1 standard deviation above the mean of CRS. Receiver operating characteristics curves were used to detect V̇O2peak cut-points for increased cardiometabolic risk. Boys with V̇O2peak <45.8 mL kg body mass (BM)-1 min-1 (95% confidence interval [CI] = 45.1 to 54.6, area under the curve [AUC] = 0.86, P < 0.001) and <63.2 mL kg LM-1 min-1 (95% CI =52.4 to 67.5, AUC = 0.65, P = 0.006) had an increased CRS. Girls with V̇O2peak <44.1 mL kg BM-1 min-1 (95% CI = 44.0 to 58.6, AUC = 0.67, P = 0.013) had an increased CRS. V̇O2peak scaled by BM-0.49 and LM-0.77 derived from log-linear allometric modeling poorly predicted increased cardiometabolic risk in boys and girls. In conclusion, directly measured V ˙ O 2 peak <45.8 mL kg BM-1 min-1 among boys and <44.1 mL kg BM-1 min-1 among girls were cut-points to identify those at increased cardiometabolic risk. Appropriately controlling for body size and composition reduced the ability of cardiorespiratory fitness to identify children at increased cardiometabolic risk.
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Affiliation(s)
- Andrew O Agbaje
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Eero A Haapala
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.,Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Niina Lintu
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Anna Viitasalo
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Alan R Barker
- Children's Health and Exercise Research Centre, Sport and Health Sciences, University of Exeter, Exeter, UK
| | - Tim Takken
- Child Development and Exercise Center, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Tuomo Tompuri
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Virpi Lindi
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.,University of Eastern Finland Library Kuopio, University of Eastern Finland, Kuopio, Finland
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland.,Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
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12
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Haapala EA, Laukkanen JA, Takken T, Kujala UM, Finni T. Peak oxygen uptake, ventilatory threshold, and arterial stiffness in adolescents. Eur J Appl Physiol 2018; 118:2367-2376. [DOI: 10.1007/s00421-018-3963-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 08/05/2018] [Indexed: 02/04/2023]
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Saevarsson E, Svansdottir E, Arngrimsson S, Sveinsson T, Johannsson E. Different cardiorespiratory fitness expressions based on the maximal cycle ergometer test show no effect on the relation of cardiorespiratory fitness to the academic achievement of nine-year-olds. PLoS One 2018; 13:e0200643. [PMID: 30036375 PMCID: PMC6056058 DOI: 10.1371/journal.pone.0200643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 06/30/2018] [Indexed: 11/18/2022] Open
Abstract
The relationship between cardiorespiratory fitness and academic achievement has been inconclusive. The results may depend on how cardiorespiratory fitness is expressed. The aim of this study is to explore the impact of different cardiorespiratory fitness expression methods, measured by the maximal cycle ergometer test, on the relationship between cardiorespiratory fitness and academic achievement. A cross-sectional study consisting of 303 Icelandic 4th grade students (163 girls) was conducted. Cardiorespiratory fitness was assessed using a graded maximal cycle ergometer test and scores of standardized tests in Icelandic and math obtained from the Icelandic National Examination Institute. Cardiorespiratory fitness was measured as absolute power output in watts in a maximal progressive cycle ergometer test. To adjust for different body sizes, the power output was scaled to body weight, body height, body surface area, and allometrically expressed body weight. In addition, linear regression scaling was also used to adjust for different body sizes. No significant relationship was found between any of the cardiorespiratory fitness expressions and academic achievement, using both univariate and multivariate linear regression analyses. The use of different methods to express cardiorespiratory fitness does not significantly affect the association with the academic achievement of fourth grade students.
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Affiliation(s)
| | | | | | - Thorarinn Sveinsson
- Research Centre for Movements Sciences, University of Iceland, Reykjavík, Iceland
| | - Erlingur Johannsson
- School of Education, University of Iceland, Reykjavík, Iceland
- Department of Sport and Physical Activity, Western Norway University of Applied Sciences, Bergen, Norway
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Jukarainen S, Holst R, Dalgård C, Piirilä P, Lundbom J, Hakkarainen A, Lundbom N, Rissanen A, Kaprio J, Kyvik KO, Sørensen TIA, Pietiläinen KH. Cardiorespiratory Fitness and Adiposity as Determinants of Metabolic Health-Pooled Analysis of Two Twin Cohorts. J Clin Endocrinol Metab 2017; 102:1520-1528. [PMID: 28324016 DOI: 10.1210/jc.2016-3435] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 01/18/2017] [Indexed: 11/19/2022]
Abstract
CONTEXT The joint effects of cardiorespiratory fitness (CRF) and body composition on metabolic health are not well known. OBJECTIVE To examine the associations of CRF, fat-free mass index (FFMI), and fat mass index (FMI) with metabolic health in individual twins and controlling for genetic and shared environmental effects by studying monozygotic intrapair differences. DESIGN, SETTING, AND PARTICIPANTS Two cross-sectional samples of healthy adult monozygotic and dizygotic twins were drawn from population-based Danish and Finnish national twin registries (n = 996 and n = 309). MAIN MEASURES CRF was defined as VO2max divided by fat-free mass. Insulin sensitivity and acute insulin response indices were derived from an oral glucose tolerance test. A continuous metabolic syndrome score was calculated. Visceral and liver fat were measured in the Finnish sample. Associations were analyzed separately in both cohorts with multivariate linear regression and aggregated with meta-analytic methods. RESULTS Insulin sensitivity, acute insulin response, metabolic syndrome score, visceral, and liver fat amount had strong and statistically significant associations with FMI (|β| 0.53 to 0.79), whereas their associations with CRF and FFMI were at most weak (|β| 0.02 to 0.15). The results of the monozygotic intrapair differences analysis showed the same pattern. CONCLUSIONS Although FMI is strongly associated with worsening of metabolic health traits, even after controlling for genetic and shared environmental factors, there was little evidence for the effects of CRF or FFMI on metabolic health. This suggests that changing FMI rather than CRF or FFMI may affect metabolic health irrespective of genetic or early environmental determinants.
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Affiliation(s)
- Sakari Jukarainen
- Obesity Research Unit, Research Programs Unit, Diabetes and Obesity, University of Helsinki, 00290 Helsinki, Finland
| | - René Holst
- Institute of Regional Health Service Research, University of Southern Denmark, 5230 Odense, Denmark
- Oslo Centre for Biostatistics and Epidemiology, University of Oslo and Oslo University Hospital, 0313 Oslo, Norway
| | - Christine Dalgård
- Department of Public Health - Environmental Medicine, University of Southern Denmark, 5230 Odense, Denmark
- Danish Twin Registry, University of Southern Denmark, 5230 Odense, Denmark
| | - Päivi Piirilä
- Unit of Clinical Physiology, Helsinki University Hospital and University of Helsinki, Meilahti Hospital, 00290 Helsinki, Finland
| | - Jesper Lundbom
- Helsinki Medical Imaging Center, Radiology, University of Helsinki, 00290 Helsinki, Finland
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Antti Hakkarainen
- Helsinki Medical Imaging Center, Radiology, University of Helsinki, 00290 Helsinki, Finland
| | - Nina Lundbom
- Helsinki Medical Imaging Center, Radiology, University of Helsinki, 00290 Helsinki, Finland
| | - Aila Rissanen
- Obesity Research Unit, Research Programs Unit, Diabetes and Obesity, University of Helsinki, 00290 Helsinki, Finland
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, 00300 Helsinki, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, 00290 Helsinki, Finland
| | - Kirsten Ohm Kyvik
- Odense Patient Data Explorative Network, Odense University Hospital, 5000 Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, 5200 Odense, Denmark
- Danish Twin Registry, University of Southern Denmark, 5230 Odense, Denmark
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospitals, The Capital Region, 2400 Copenhagen, Denmark
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Programs Unit, Diabetes and Obesity, University of Helsinki, 00290 Helsinki, Finland
- Endocrinology, Abdominal Center, Helsinki University Central Hospital and University of Helsinki, 00290 Helsinki, Finland
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15
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Guseman EH, Cauffman SP, Tucker JM, Smith L, Eisenmann JC, Stratbucker W. The Association Between Measures of Fitness and Metabolic Health in Treatment-Seeking Youth with Obesity. Metab Syndr Relat Disord 2016; 15:107-111. [PMID: 27869528 DOI: 10.1089/met.2016.0094] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Both cardiorespiratory fitness (CRF) and measures of muscular fitness are associated with metabolic syndrome in adults. However, limited information exists about these relationships in youth with severe obesity who are at increased risk of metabolic dysfunction. The purpose of this study was to examine the relationship between fitness and metabolic health in treatment-seeking youth with obesity. METHODS Data for this analysis were collected at the time of baseline visits at a stage 3 pediatric weight management center. Maximal voluntary contractions were obtained by using isometric hand-grip dynamometry, and CRF was obtained from a maximal treadmill test. Resting blood pressure and fasting measures of blood lipids, glucose, and insulin were used to calculate a continuous metabolic syndrome score (cMetS); homeostasis model assessment of insulin resistance (HOMA-IR) was calculated from fasting insulin and glucose. Relationships between measures of fitness and metabolic health were evaluated by using partial correlations adjusted for age. RESULTS Sixty-nine participants (21 boys, 48 girls) were included in this analysis. Of these, 46% (n = 32) met the criteria for metabolic syndrome. No differences were found between boys and girls for any variable analyzed. Muscular strength was positively associated with cMetS (r = 0.35), though this association weakened after adjustment for body mass index percentile. CRF was inversely associated with homeostasis model assessment of insulin resistance (HOMA-IR) (r = -0.26) and fasting insulin (r = -0.27). Body fat percentage was positively associated with insulin (r = 0.36). No significant relationship was found between CRF and cMetS. CONCLUSION Contrary to previous studies, CRF was not associated with metabolic syndrome in this group. Muscular strength, however, was associated with cMetS. Notably, CRF was associated with elevated HOMA-IR, which may be seen as a precursor to metabolic syndrome. These results suggest that CRF and muscular strength influence metabolic function independently.
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Affiliation(s)
- Emily Hill Guseman
- 1 Division of Kinesiology and Health, College of Health Sciences, University of Wyoming , Laramie, Wyoming
| | - Samuel P Cauffman
- 2 Department of Human Studies, University of Alabama at Birmingham , Birmingham, Alabama
| | - Jared M Tucker
- 3 Healthy Weight Center , Helen DeVos Children's Hospital, Grand Rapids, Michigan.,4 Department of Pediatrics and Human Development, Michigan State University , East Lansing, Michigan
| | - Lucie Smith
- 3 Healthy Weight Center , Helen DeVos Children's Hospital, Grand Rapids, Michigan
| | - Joey C Eisenmann
- 5 Department of Radiology, College of Osteopathic Medicine, Michigan State University , East Lansing, Michigan
| | - William Stratbucker
- 3 Healthy Weight Center , Helen DeVos Children's Hospital, Grand Rapids, Michigan
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16
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Loftin M, Sothern M, Abe T, Bonis M. Expression of VO2peak in Children and Youth, with Special Reference to Allometric Scaling. Sports Med 2016; 46:1451-60. [DOI: 10.1007/s40279-016-0536-7] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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17
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Arngrímsson SÁ, Ólafsdóttir AS. The relation between physical activity, fitness, and fatness in adolescents: A mediation analysis. Am J Hum Biol 2015; 28:584-6. [PMID: 26619827 DOI: 10.1002/ajhb.22813] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Revised: 09/25/2015] [Accepted: 11/01/2015] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVES To investigate the total, direct and mediated (by fatness) association of physical activity (PA) with fitness. METHODS Body fat percentage (%Fat), maximal oxygen uptake (VO2max ) and PA were measured directly in 18-year-olds (n=202) and their association analyzed with a linear regression-based mediation analysis after controlling for sex. RESULTS The total association between PA and VO2max was significant (c=0.66, P<0.001) and was significantly mediated by %Fat (ab=0.25, 95% CI: 0.04-0.49). The direct association was also significant (ć=0.41, P<0.001). CONCLUSION Physical activity is associated with VO2max in 18-year-old adolescents but a little over a third of that association is mediated by %Fat. Regardless of fatness, PA is important for fitness in this age group. Am. J. Hum. Biol. 28:584-586, 2016. © 2015 Wiley Periodicals, Inc.
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18
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Sævarsson ES, Magnússon KT, Sveinsson T, Jóhannsson E, Arngrímsson SÁ. The association of cardiorespiratory fitness to health independent of adiposity depends upon its expression. Ann Hum Biol 2015. [PMID: 26207598 DOI: 10.3109/03014460.2015.1042522] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Elvar Smári Sævarsson
- Center for Sport and Health Sciences, University of Iceland, Laugarvatn, Iceland and
| | | | - Thórarinn Sveinsson
- Research Centre of Movement Science, University of Iceland, Reykjavík, Iceland
| | - Erlingur Jóhannsson
- Center for Sport and Health Sciences, University of Iceland, Laugarvatn, Iceland and
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19
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McMurray RG, Butte NF, Crouter SE, Trost SG, Pfeiffer KA, Bassett DR, Puyau MR, Berrigan D, Watson KB, Fulton JE. Exploring Metrics to Express Energy Expenditure of Physical Activity in Youth. PLoS One 2015; 10:e0130869. [PMID: 26102204 PMCID: PMC4477976 DOI: 10.1371/journal.pone.0130869] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Accepted: 05/26/2015] [Indexed: 12/29/2022] Open
Abstract
Background Several approaches have been used to express energy expenditure in youth, but no consensus exists as to which best normalizes data for the wide range of ages and body sizes across a range of physical activities. This study examined several common metrics for expressing energy expenditure to determine whether one metric can be used for all healthy children. Such a metric could improve our ability to further advance the Compendium of Physical Activities for Youth. Methods A secondary analysis of oxygen uptake (VO2) data obtained from five sites was completed, that included 947 children ages 5 to 18 years, who engaged in 14 different activities. Resting metabolic rate (RMR) was computed based on Schofield Equations [Hum Nutr Clin Nut. 39(Suppl 1), 1985]. Absolute oxygen uptake (ml.min-1), oxygen uptake per kilogram body mass (VO2 in ml.kg-1.min-1), net oxygen uptake (VO2 – resting metabolic rate), allometric scaled oxygen uptake (VO2 in ml.kg-0.75.min-1) and YOUTH-MET (VO2.[resting VO2] -1) were calculated. These metrics were regressed with age, sex, height, and body mass. Results Net and allometric-scaled VO2, and YOUTH-MET were least associated with age, sex and physical characteristics. For moderate-to-vigorous intensity activities, allometric scaling was least related to age and sex. For sedentary and low-intensity activities, YOUTH-MET was least related to age and sex. Conclusions No energy expenditure metric completely eliminated the influence of age, physical characteristics, and sex. The Adult MET consistently overestimated EE. YOUTH-MET was better for expressing energy expenditure for sedentary and light activities, whereas allometric scaling was better for moderate and vigorous intensity activities. From a practical perspective, The YOUTH-MET may be the more feasible metric for improving of the Compendium of Physical Activities for Youth.
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Affiliation(s)
- Robert G. McMurray
- Exercise and Sport Science and Nutrition, University of North Carolina, Chapel Hill, NC, United States of America
- * E-mail:
| | - Nancy F. Butte
- USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX, United States of America
| | - Scott E. Crouter
- Department of Kinesiology, Recreation and Sport Studies, University of Tennessee, Knoxville, TN, United States of America
| | - Stewart G. Trost
- Exercise and Nutrition Sciences, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Karin A. Pfeiffer
- Department of Kinesiology, Michigan State University, East Lansing, MI, United States of America
| | - David R. Bassett
- Department of Kinesiology, Recreation and Sport Studies, University of Tennessee, Knoxville, TN, United States of America
| | - Maurice R. Puyau
- USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX, United States of America
| | - David Berrigan
- Centers for Disease Control and Prevention/National Cancer Institute/National Collaborative on Childhood Obesity Research, Washington, DC, United States of America
| | - Kathleen B. Watson
- Division of Nutrition, Physical Activity, and Obesity, CDC, Atlanta, GA, United States of America
| | - Janet E. Fulton
- Division of Nutrition, Physical Activity, and Obesity, CDC, Atlanta, GA, United States of America
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20
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Hinriksdóttir G, Tryggvadóttir Á, Ólafsdóttir AS, Arngrímsson SÁ. Fatness but Not Fitness Relative to the Fat-Free Mass Is Related to C-Reactive Protein in 18 Year-Old Adolescents. PLoS One 2015; 10:e0130597. [PMID: 26075745 PMCID: PMC4468067 DOI: 10.1371/journal.pone.0130597] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Accepted: 05/21/2015] [Indexed: 11/18/2022] Open
Abstract
Introduction The interaction between fatness, fitness, and C-reactive protein (CRP) in adolescents is not well characterized but may be important to prevent low grade inflammation. The purpose of this study was to assess the relationship between adiposity, different expressions of fitness, and CRP in late adolescence using direct measures of fitness and fatness. Methods Anthropometric measurements were taken on 245 eighteen-year-old participants (116 girls). Fasting CRP, glucose, and insulin were measured and homeostatic model assessment (HOMA) calculated. Body composition was estimated via dual energy X-ray absorptiometry. Fitness was assessed with maximal oxygen uptake (VO2max) during a treadmill test and also expressed relative to the fat-free mass (VO2maxFFM). Results Prevalence of overweight/obesity based on body mass index (BMI) was 20.7% and 25.6% among girls and boys, respectively (p = 0.407), but 42.5% and 58.1% when based on body fat percentage (%fat, p = 0.015). Higher proportion of boys (81.3%) than girls (54.5%) were highly fit (p<0.001), but the percentage of girls with high levels of CRP was greater (12.1% vs 6.2%, p = 0.028). Adiposity, indicated with BMI, waist circumference, fat mass, android fat mass (aFM), or %fat, was positively associated with CRP independent of VO2max (r = 0.13-0.18, p<0.05) and VO2maxFFM (r = 0.24-0.32, p<0.001). VO2max, was negatively associated with CRP independent only of BMI and waist circumference (r = -0.21, p = 0.001), but not %fat, fat mass or aFM (r = -0.08 to -0.12, p>0.05). VO2maxFFM was unrelated to CRP with (r = -0.07 to -0.11, p>0.05) or without (r = -0.10, p = 0.142) adjustment for adiposity. Additional adjustment for HOMA did not change any of the relationships, although the coefficients were attenuated. Conclusions Fatness has a greater association with CRP than fitness in late adolescence. However, VO2maxFFM, which is truly independent of adiposity, is unrelated to CRP, indicating that the effects of fitness might be mediated via the fatness component embedded in fitness expressed relative to body mass.
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Affiliation(s)
| | - Ágústa Tryggvadóttir
- Center for Sport and Health Sciences, University of Iceland, Laugarvatn, Iceland
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Valente-dos-Santos J, Coelho-e-Silva MJ, Tavares ÓM, Brito J, Seabra A, Rebelo A, Sherar LB, Elferink-Gemser MT, Malina RM. Allometric modelling of peak oxygen uptake in male soccer players of 8–18 years of age. Ann Hum Biol 2014; 42:125-33. [DOI: 10.3109/03014460.2014.932007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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22
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McMurray RG. Insights into physical activity and cardiovascular disease risk in young children: IDEFICS study. BMC Med 2013; 11:173. [PMID: 23899242 PMCID: PMC3728112 DOI: 10.1186/1741-7015-11-173] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2013] [Accepted: 07/17/2013] [Indexed: 11/10/2022] Open
Abstract
The association between physical activity and cardiovascular disease risk factors in children has been the focus of research for over two decades. The majority of this research has focused on children over 10 years of age with little information on very young children. The data recently published in BMC Medicine by Jiménez-Pavón and colleagues suggest that adverse cardiovascular disease (CVD) risk profiles, as indicated by a clustered risk score for the metabolic syndrome, are evident in very young children (two to six years of age), but differ between the sexes. The authors evaluated the relationship of CVD risk profiles and protective levels of moderate-to-vigorous physical activity (MVPA) and concluded that boys aged six years or younger needed >60 minutes of MVPA per day, whereas boys from six to nine years of age needed >80 minutes of MVPA per day; girls in either age group needed approximately 15 minutes less. Therefore, when clinicians recommend physical activity for children they should evaluate "at risk" children on a case-by-case basis rather than using generalized guidelines.
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Abstract
Considerable evidence has accrued that cardiovascular disease (CVD) has its beginnings during childhood, with some reports of endothelial damage occurring in early adolescence. Thus, early prevention and intervention on developing cardiometabolic risk factors is important. Presently, diet and exercise are strategic parts of any CVD prevention or treatment program. Although diet is important, the effects of exercise training or regular moderate-to-vigorous intensity physical activity go beyond simply modifying the traditional risk factors. For children, the majority of studies show that regular physical activity can lower elevated blood pressure, positively influence lipid profiles, reduce inflammation, and improve vascular functioning. These changes are most evident in children who exercise and lose weight. Despite these potential benefits of physical activity, not all studies on children have found positive effects of habitual physical activity on CVD risk factors. Reasons for these differences are discussed throughout this review. The literature also suggests that habitual physical activity, although meeting guidelines, may not be sufficient for all individuals to bring about changes; thus, to be an effective modality physical activity needs to increase beyond habitual levels or be of a moderate to vigorous intensity. This review provides recent evidence (since 2008) regarding the influence of physical activity on the cardiometabolic risk factors in children.
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Affiliation(s)
- Robert G. McMurray
- Departments of Exercise and Sport Science and Nutrition, University of North Carolina, Chapel Hill (RGM)
- Center for the Study of Sport and Exercise, Seattle University, Seattle, Washington (KSO)
| | - Kristin S. Ondrak
- Departments of Exercise and Sport Science and Nutrition, University of North Carolina, Chapel Hill (RGM)
- Center for the Study of Sport and Exercise, Seattle University, Seattle, Washington (KSO)
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Hosick PA, McMurray RG, Hackney AC, Battaglini CL, Combs TP, Harrell JS. Differences in the GH-IGF-I axis in children of different weight and fitness status. Growth Horm IGF Res 2012; 22:87-91. [PMID: 22436514 PMCID: PMC3566556 DOI: 10.1016/j.ghir.2012.02.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2011] [Revised: 02/24/2012] [Accepted: 02/25/2012] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To determine if differences in the GH-IGF-I axis exist between children of high and low aerobic fitness who are obese or of normal weight. DESIGN 124 children (ages 8-11) divided into four groups based on BMI and VO₂max (mL O₂/kg fat free mass(FFM)/min): normal weight--high-fit (NH), normal weight--low-fit (NL), obese--high-fit (OH), and obese--low-fit (OL). Height, weight, skinfolds, body mass index (BMI), body fat percentage and predicted VO₂max (both ml/kg/min and ml/kg(FFM)/min) were assessed. Resting growth hormone (GH), total insulin-like growth factor 1 (total IGF-I), free insulin-like growth factor 1(free IGF-I), and insulin were measured using morning fasting blood samples. RESULTS GH was greater in the NH group compared to the OL group only (p<0.01). No group differences existed for either total IGF-I (p=0.53) or free IGF-I (p=0.189). Insulin was greater in the OH and OL groups than the NH and NL groups (p<0.01). With groups combined (or overall), insulin and free IGF-I were related to fitness (insulin--ml/kg/min: r=-0.226, p<0.05 and ml/kg(FFM)/min: r=-0.212, p<0.05; free IGF-I--ml/kg/min: r=-0.219, p<0.01 and ml/kg(FFM)/min: r=-0.272, p<0.05). CONCLUSIONS Fitness may contribute to the obesity related reduction of GH that may be involved with weight gain.
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Affiliation(s)
- Peter A Hosick
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Arthur C. Guyton Research Complex, 2500 N State Street, Jackson, MS 39216-4505, USA.
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