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A healthy lifestyle during adolescence was inversely associated with fatty liver indices in early adulthood: findings from the DONALD cohort study. Br J Nutr 2023; 129:513-522. [PMID: 35492013 DOI: 10.1017/s0007114522001313] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
A healthy lifestyle during adolescence is associated with insulin sensitivity or liver enzyme levels and thus might contribute to the prevention of non-alcoholic fatty liver disease (NAFLD). Therefore, we examined the association between adherence to a hypothesis-based lifestyle score including dietary intake, physical activity, sedentary behaviour, sleep duration and BMI in adolescence and fatty liver indices in early adulthood. Overall, 240 participants of the DOrtmund Nutritional and Anthropometric Longitudinally Designed study completed repeated measurements of lifestyle score factors during adolescence (females: 8·5-15·5 years, males: 9·5-16·5 years). Multivariable linear regression models were used to investigate the association between adolescent lifestyle scores and NAFLD risk (hepatic steatosis index (HSI) and fatty liver index (FLI)) in early adulthood (18-30 years). Participants visited the study centre 4·9 times during adolescence and achieved on average 2·8 (min: 0·6, max: 5) out of five lifestyle score points. Inverse associations were observed between the lifestyle score and fatty liver indices (HSI: ß=-5·8 % (95 % CI -8·3, -3·1), P < 0·0001, FLI: ß=-32·4 % (95 % CI -42·9, -20·0), P < 0·0001) in the overall study population. Sex-stratified analysis confirmed these results in men, while inverse but non-significant associations were observed in women (P > 0·05). A higher lifestyle score was associated with lower HSI and FLI values, suggesting that a healthy lifestyle during adolescence might contribute to NAFLD prevention, predominantly in men. Our findings on repeatedly measured lifestyle scores in adolescents and their association with NAFLD risk in early adulthood warrant confirmation in larger study populations.
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Julian V, Bergsten P, Ennequin G, Forslund A, Ahlstrom H, Ciba I, Dahlbom M, Furthner D, Gomahr J, Kullberg J, Maruszczak K, Morwald K, Olsson R, Pixner T, Schneider A, Pereira B, Ring-Dimitriou S, Thivel D, Weghuber D. Association between alanine aminotransferase as surrogate of fatty liver disease and physical activity and sedentary time in adolescents with obesity. Eur J Pediatr 2022; 181:3119-3129. [PMID: 35771354 DOI: 10.1007/s00431-022-04539-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/26/2022] [Accepted: 06/21/2022] [Indexed: 11/24/2022]
Abstract
UNLABELLED To compare patterns of sedentary (SED) time (more sedentary, SED + vs less sedentary, SED-), moderate to vigorous physical activity (MVPA) time (more active, MVPA + vs less active, MVPA-), and combinations of behaviors (SED-/MVPA + , SED-/MVPA-, SED + /MVPA + , SED + /MVPA-) regarding nonalcoholic fatty liver diseases (NAFLD) markers. This cross-sectional study included 134 subjects (13.4 ± 2.2 years, body mass index (BMI) 98.9 ± 0.7 percentile, 48.5% females) who underwent 24-h/7-day accelerometry, anthropometric, and biochemical markers (alanine aminotransferase (ALT) as first criterion, and aspartate aminotransferase (AST), gamma-glutamyl transpeptidase (GGT), AST/ALT ratio as secondary criteria). A subgroup of 39 patients underwent magnetic resonance imaging-liver fat content (MRI-LFC). Hepatic health was better in SED- (lower ALT, GGT, and MRI-LFC (p < 0.05), higher AST/ALT (p < 0.01)) vs SED + and in MVPA + (lower ALT (p < 0.05), higher AST/ALT (p < 0.01)) vs MVPA- groups after adjustment for age, gender, and Tanner stages. SED-/MVPA + group had the best hepatic health. SED-/MVPA- group had lower ALT and GGT and higher AST/ALT (p < 0.05) in comparison with SED + /MVPA + group independently of BMI. SED time was positively associated with biochemical (high ALT, low AST/ALT ratio) and imaging (high MRI-LFC) markers independently of MVPA. MVPA time was associated with biochemical markers (low ALT, high AST/ALT) but these associations were no longer significant after adjustment for SED time. CONCLUSION Lower SED time is associated with better hepatic health independently of MVPA. Reducing SED time might be a first step in the management of pediatric obesity NAFLD when increasing MVPA is not possible. WHAT IS KNOWN • MVPA and SED times are associated with cardiometabolic risks in youths with obesity. • The relationships between NAFLD markers and concomitant MVPA and SED times have not been studied in this population. WHAT IS NEW • Low SED time is associated with healthier liver enzyme profiles and LFC independent of MVPA. • While low SED/high MVPA is the more desirable pattern, low SED/low MVPA pattern would have healthier liver enzyme profile compared with high MVPA/high SED, independent of BMI, suggesting that reducing SED time irrespective of MVPA is needed to optimize liver health.
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Affiliation(s)
- Valérie Julian
- Department of Sport Medicine and Functional Explorations, Human Nutrition Research Center (CRNH), University Teaching Hospital of Clermont-Ferrand, Diet and Musculoskeletal Health Team, INRA, University of Clermont Auvergne, Clermont-Ferrand, Europe, France. .,Department of Pediatrics, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.
| | - Peter Bergsten
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden.,Children Obesity Clinic, Uppsala University Hospital, Uppsala, Sweden.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Gael Ennequin
- Laboratory of Metabolic Adaptations to Exercise Under Physiological and Pathological Conditions (AME2P), University of Clermont Auvergne, Clermont-Ferrand, France
| | - Anders Forslund
- Children Obesity Clinic, Uppsala University Hospital, Uppsala, Sweden.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Hakan Ahlstrom
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.,Antaros Medical AB, BioVenture Hub, 431 53, Mölndal, Sweden
| | - Iris Ciba
- Children Obesity Clinic, Uppsala University Hospital, Uppsala, Sweden.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Marie Dahlbom
- Children Obesity Clinic, Uppsala University Hospital, Uppsala, Sweden.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Dieter Furthner
- Department of Pediatrics and Adolescent Medicine, Salzkammergut-Klinikum, Vöcklabruck, Austria.,Obesity Research Unit, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Julian Gomahr
- Department of Pediatrics, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.,Obesity Research Unit, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Joel Kullberg
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.,Antaros Medical AB, BioVenture Hub, 431 53, Mölndal, Sweden
| | - Katharina Maruszczak
- Department of Pediatrics, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.,Obesity Research Unit, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Katharina Morwald
- Department of Pediatrics, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.,Obesity Research Unit, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Roger Olsson
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Thomas Pixner
- Department of Pediatrics and Adolescent Medicine, Salzkammergut-Klinikum, Vöcklabruck, Austria.,Obesity Research Unit, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Anna Schneider
- Department of Pediatrics, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.,Obesity Research Unit, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Bruno Pereira
- Department of Biostatistics, University Teaching Hospital of Clermont-Ferrand, Clermont-Ferrand, France
| | | | - David Thivel
- Laboratory of Metabolic Adaptations to Exercise Under Physiological and Pathological Conditions (AME2P), University of Clermont Auvergne, Clermont-Ferrand, France
| | - Daniel Weghuber
- Department of Pediatrics, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.,Obesity Research Unit, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
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Abstract
Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease in children. Although environmental factors are major contributors to early onset, children have both shared and unique genetic risk alleles as compared with adults with NAFLD. Treatment relies on reducing environmental risk factors, but many children have persistent diseases. No medications are approved specifically for the treatment of NAFLD, but some anti-obesity or diabetes treatments may be beneficial. Pediatric NAFLD increases the risk of diabetes and other cardiovascular risk factors. Long-term prospective studies are needed to determine the long-term risk of hepatic and non-hepatic morbidity and mortality in adulthood.
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Affiliation(s)
- Stavra A Xanthakos
- Professor of Pediatrics, Division of Gastroenterology Hepatology and Nutrition, Cincinnati Children's, Department of Pediatrics, Director, Nonalcoholic Steatohepatitis Center, University of Cincinnati College of Medicine, 3333 Burnet Avenue, Cincinnati, OH 45229, USA.
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Julian V, Haschke F, Fearnbach N, Gomahr J, Pixner T, Furthner D, Weghuber D, Thivel D. Effects of Movement Behaviors on Overall Health and Appetite Control: Current Evidence and Perspectives in Children and Adolescents. Curr Obes Rep 2022; 11:10-22. [PMID: 35020189 PMCID: PMC9165266 DOI: 10.1007/s13679-021-00467-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/28/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE OF REVIEW To present the definitions and recommendations for movement behaviors in children and adolescents, including physical activity (PA), sedentary behaviors (SB), and sleep, and to provide an overview regarding their impact on health and obesity outcomes from childhood to adulthood, as well as interactions with appetite control. RECENT FINDINGS PA represents a variable proportion of daily energy expenditure and one can be active with high SB or vice versa. Studies have described movements across the whole day on a continuum from sleep to SB to varying intensities of PA. More PA, less SB (e.g., less screen time) and longer sleep are positively associated with indicators of physical health (e.g., lower BMI, adiposity, cardiometabolic risk) and cognitive development (e.g., motor skills, academic achievement). However, less than 10% of children currently meet recommendations for all three movement behaviors. Movement behaviors, adiposity, and related cardiometabolic diseases in childhood track into adolescence and adulthood. Furthermore, low PA/high SB profiles are associated with increased energy intake. Recent studies investigating energy balance regulation showed that desirable movement behavior profiles are associated with better appetite control and improved eating habits. Early identification of behavioral phenotypes and a comprehensive approach addressing all key behaviors that directly affect energy balance will allow for individual strategies to prevent or treat obesity and its comorbidities. Investigating exercise as a potential "corrector" of impaired appetite control offers a promising weight management approach.
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Affiliation(s)
- Valérie Julian
- Department of Sport Medicine and Functional Explorations, University Teaching Hospital of Clermont-Ferrand, Diet and Musculoskeletal Health Team, Research Center in Human Nutrition, INRA, University of Clermont Auvergne, Clermont-Ferrand, France
- Obesity Research Unit, Paracelsus Medical University, Salzburg, Austria
| | - Ferdinand Haschke
- Department of Pediatrics, Paracelsus Medical University, Salzburg, Austria
| | - Nicole Fearnbach
- Pediatric Energy Balance Laboratory, Clinical Sciences Division, Pennington Biomedical Research Center, Baton Rouge, LA USA
| | - Julian Gomahr
- Obesity Research Unit, Paracelsus Medical University, Salzburg, Austria
- Department of Pediatrics, Paracelsus Medical University, Salzburg, Austria
| | - Thomas Pixner
- Obesity Research Unit, Paracelsus Medical University, Salzburg, Austria
- Department of Pediatrics and Adolescent Medicine, Salzkammergut-Klinikum, Vöcklabruck, Austria
| | - Dieter Furthner
- Obesity Research Unit, Paracelsus Medical University, Salzburg, Austria
- Department of Pediatrics and Adolescent Medicine, Salzkammergut-Klinikum, Vöcklabruck, Austria
| | - Daniel Weghuber
- Obesity Research Unit, Paracelsus Medical University, Salzburg, Austria
- Department of Pediatrics, Paracelsus Medical University, Salzburg, Austria
| | - David Thivel
- Laboratory AME2P, Research Center in Human Nutrition, University of Clermont Auvergne, Aubière, France
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5
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Okely AD, Ghersi D, Loughran SP, Cliff DP, Shilton T, Jones RA, Stanley RM, Sherring J, Toms N, Eckermann S, Olds TS, Zhang Z, Parrish AM, Kervin L, Downie S, Salmon J, Bannerman C, Needham T, Marshall E, Kaufman J, Brown L, Wille J, Wood G, Lubans DR, Biddle SJH, Pill S, Hargreaves A, Jonas N, Schranz N, Campbell P, Ingram K, Dean H, Verrender A, Ellis Y, Chong KH, Dumuid D, Katzmarzyk PT, Draper CE, Lewthwaite H, Tremblay MS. A collaborative approach to adopting/adapting guidelines. The Australian 24-hour movement guidelines for children (5-12 years) and young people (13-17 years): An integration of physical activity, sedentary behaviour, and sleep. Int J Behav Nutr Phys Act 2022; 19:2. [PMID: 34991606 PMCID: PMC8734238 DOI: 10.1186/s12966-021-01236-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 12/08/2021] [Indexed: 12/20/2022] Open
Abstract
Abstract Background In 2018, the Australian Government updated the Australian Physical Activity and Sedentary Behaviour Guidelines for Children and Young People. A requirement of this update was the incorporation of a 24-hour approach to movement, recognising the importance of adequate sleep. The purpose of this paper was to describe how the updated Australian 24-Hour Movement Guidelines for Children and Young People (5 to 17 years): an integration of physical activity, sedentary behaviour and sleep were developed and the outcomes from this process. Methods The GRADE-ADOLOPMENT approach was used to develop the guidelines. A Leadership Group was formed, who identified existing credible guidelines. The Canadian 24-Hour Movement Guidelines for Children and Youth best met the criteria established by the Leadership Group. These guidelines were evaluated based on the evidence in the GRADE tables, summaries of findings tables and recommendations from the Canadian Guidelines. We conducted updates to each of the Canadian systematic reviews. A Guideline Development Group reviewed, separately and in combination, the evidence for each behaviour. A choice was then made to adopt or adapt the Canadian recommendations for each behaviour or create de novo recommendations. We then conducted an online survey (n=237) along with three focus groups (n=11 in total) and 13 key informant interviews. Stakeholders used these to provide feedback on the draft guidelines. Results Based on the evidence from the Canadian systematic reviews and the updated systematic reviews in Australia, the Guideline Development Group agreed to adopt the Canadian recommendations and, apart from some minor changes to the wording of good practice statements, maintain the wording of the guidelines, preamble, and title of the Canadian Guidelines. The Australian Guidelines provide evidence-informed recommendations for a healthy day (24-hours), integrating physical activity, sedentary behaviour (including limits to screen time), and sleep for children (5-12 years) and young people (13-17 years). Conclusions To our knowledge, this is only the second time the GRADE-ADOLOPMENT approach has been used to develop movement behaviour guidelines. The judgments of the Australian Guideline Development Group did not differ sufficiently to change the directions and strength of the recommendations and as such, the Canadian Guidelines were adopted with only very minor alterations. This allowed the Australian Guidelines to be developed in a shorter time frame and at a lower cost. We recommend the GRADE-ADOLOPMENT approach, especially if a credible set of guidelines that was developed using the GRADE approach is available with all supporting materials. Other countries may consider this approach when developing and/or revising national movement guidelines. Supplementary Information The online version contains supplementary material available at 10.1186/s12966-021-01236-2.
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Affiliation(s)
- Anthony D Okely
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia. .,Illawarra Health and Medical Research Institute, Wollongong, Australia.
| | - Davina Ghersi
- Research Policy and Translation, National Health and Medical Research Council, Canberra, Australia.,National Health & Medical Research Council Clinical Trials Centre, Sydney Medical School, University of Sydney, Sydney, Australia
| | - Sarah P Loughran
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia.,Illawarra Health and Medical Research Institute, Wollongong, Australia
| | - Dylan P Cliff
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia.,Illawarra Health and Medical Research Institute, Wollongong, Australia
| | - Trevor Shilton
- National Heart Foundation (WA), 334 Rokeby Road, Subiaco, Australia
| | - Rachel A Jones
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia.,Illawarra Health and Medical Research Institute, Wollongong, Australia
| | - Rebecca M Stanley
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia.,Illawarra Health and Medical Research Institute, Wollongong, Australia
| | - Julie Sherring
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Natalie Toms
- Preventive Programs, Commonwealth Department of Health, Canberra, Australia
| | - Simon Eckermann
- Australian Health Services Research Institute, University of Wollongong, Wollongong, Australia
| | - Timothy S Olds
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Zhiguang Zhang
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Anne-Maree Parrish
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Lisa Kervin
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Sandra Downie
- Preventive Programs, Commonwealth Department of Health, Canberra, Australia
| | - Jo Salmon
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Melbourne, Australia
| | | | | | | | - Jordy Kaufman
- Swinburne University of Technology, Melbourne, Australia
| | - Layne Brown
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Janecke Wille
- Federation of Ethnic Communities Council of Australia (FECCA), Canberra, Australia
| | - Greg Wood
- Australian Sports Commission, Leederville, Western Australia
| | - David R Lubans
- Priority Research Centre for Physical Activity and Nutrition, School of Education, University of Newcastle, Newcastle, Australia
| | - Stuart J H Biddle
- Centre for Health Research, University of Southern Queensland, Springfield Central, Toowoomba, Australia
| | - Shane Pill
- The Australian Council for Health, Physical Education and Recreation (ACHPER), Wayville, Australia and Flinders University, Adelaide, South Australia
| | | | - Natalie Jonas
- Australian Curriculum, Assessment and Reporting Authority (ACARA), SA, Sydney, Australia
| | - Natasha Schranz
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.,Active Healthy Kids Australia, Adelaide, Australia and National Heart Foundation, Adelaide, South Australia
| | - Perry Campbell
- Australian Children's Education & Care Quality Authority (ACECQA), Sydney, Australia
| | - Karen Ingram
- NSW Education Standards Authority (NESA), Sydney, Australia
| | - Hayley Dean
- NSW Education Standards Authority (NESA), Sydney, Australia
| | - Adam Verrender
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Yvonne Ellis
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Kar Hau Chong
- Faculty of Arts, Social Sciences and Humanities, School of Health and Society, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | | | - Catherine E Draper
- SAMRC/Wits Developmental Pathways for Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Hayley Lewthwaite
- Australian Health Services Research Institute, University of Wollongong, Wollongong, Australia
| | - Mark S Tremblay
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
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Medrano M, Arenaza L, Migueles JH, Rodríguez-Vigil B, Ruiz JR, Labayen I. Associations of physical activity and fitness with hepatic steatosis, liver enzymes, and insulin resistance in children with overweight/obesity. Pediatr Diabetes 2020; 21:565-574. [PMID: 32237015 DOI: 10.1111/pedi.13011] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 01/29/2020] [Accepted: 03/18/2020] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease is the most common liver disease in childhood and is related to insulin resistance and cardiometabolic risk factors. Evidence supporting the association of fitness and physical activity with hepatic fat, liver enzymes, or triglyceride-to-high-density lipoprotein ratio is scarce in children. OBJECTIVE To analyze the associations of physical fitness and physical activity (PA) with percentage hepatic fat, liver enzymes, insulin resistance, and cardiometabolic risk in children with overweight/obesity. SUBJECTS A total of 115 children (10.6 ± 1.1 years; 54% girls) with overweight/obesity of the EFIGRO study (ClinicalTrials.gov: NCT02258126) were included in the analyses. METHODS Cardiorespiratory fitness (CRF), musculoskeletal fitness and speed-agility were measured by the Alpha-fitness tests, and PA by wGT3X-BT accelerometers. Percentage hepatic fat was assessed by magnetic resonance imaging. Alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT), aspartate aminotransferase (AST), insulin, glucose, triglycerides (TG), and high-density lipoprotein (HDL) levels were obtained from fasting blood samples. The homeostasis model assessment insulin resistance (HOMA-IR) and AST/ALT and TG/HDL ratios were calculated. RESULTS Higher CRF was associated with lower percentage hepatic fat (β = -0.266, P = .01) and GGT (β = -0.315, P < .01), and higher AST/ALT ratio (β = 0.306, P < .01). CRF-fit children have lower GGT levels (15 ± 1 vs 17 ± 1 U/L, CRF-fit vs CRF-unfit children, P = .02), HOMA-IR (2.2 ± 0.1 vs 2.9 ± 0.1, P < .01) and TG/HDL ratio (1.4 ± 0.1 vs 1.9 ± 0.1, P = .01) and higher AST/ALT ratio (1.3 ± 0.0 vs 1.2 ± 0.0, P = .03), than CRF-unfit children. CONCLUSIONS These findings emphasize the importance of considering the improvement of CRF as a target of programs for preventing hepatic steatosis, type 2 diabetes and cardiovascular diseases in children with overweight.
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Affiliation(s)
- María Medrano
- Institute for Innovation and Sustainable Development in Food Chain (IS-FOOD), Public University of Navarra, Pamplona, Spain
| | - Lide Arenaza
- Institute for Innovation and Sustainable Development in Food Chain (IS-FOOD), Public University of Navarra, Pamplona, Spain
| | - Jairo H Migueles
- PROmoting FITness and Health through physical activity research group (PROFITH), Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Beatriz Rodríguez-Vigil
- Department of Magnetic Resonance Imaging, Osatek, University Hospital of Alava, Vitoria, Spain
| | - Jonatan R Ruiz
- PROmoting FITness and Health through physical activity research group (PROFITH), Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain.,Department of Biosciences and Nutrition at NOVUM, Karolinska Institutet, Huddinge, Sweden
| | - Idoia Labayen
- Institute for Innovation and Sustainable Development in Food Chain (IS-FOOD), Public University of Navarra, Pamplona, Spain
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7
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Bell JA, Hamer M, Richmond RC, Timpson NJ, Carslake D, Davey Smith G. Associations of device-measured physical activity across adolescence with metabolic traits: Prospective cohort study. PLoS Med 2018; 15:e1002649. [PMID: 30204755 PMCID: PMC6133272 DOI: 10.1371/journal.pmed.1002649] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 08/03/2018] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Multiple occasions of device-measured physical activity have not been previously examined in relation to metabolic traits. We described associations of total activity, moderate-to-vigorous physical activity (MVPA), and sedentary time from three accelerometry measures taken across adolescence with detailed traits related to systemic metabolism. METHODS AND FINDINGS There were 1,826 male and female participants recruited at birth in 1991-1992 via mothers into the Avon Longitudinal Study of Parents and Children offspring cohort who attended clinics in 2003-2005, 2005-2006, and 2006-2008 who were included in ≥1 analysis. Waist-worn uniaxial accelerometers measured total activity (counts/min), MVPA (min/d), and sedentary time (min/d) over ≥3 d at mean age 12y, 14y, and 15y. Current activity (at age 15y), mean activity across occasions, interaction by previous activity, and change in activity were examined in relation to systolic and diastolic blood pressure, insulin, C-reactive protein, and 230 traits from targeted metabolomics (nuclear magnetic resonance spectroscopy), including lipoprotein cholesterol and triglycerides, amino and fatty acids, glycoprotein acetyls, and others, at age 15y. Mean current total activity was 477.5 counts/min (SD = 164.0) while mean MVPA and sedentary time durations were 23.6 min/d (SD = 17.9) and 522.1 min/d (SD = 66.0), respectively. Mean body mass index at age 15y was 21.4 kg/m2 (SD = 3.5). Correlations between first and last activity measurement occasions were low (e.g., r = 0.40 for counts/min). Current activity was most strongly associated with cholesterol and triglycerides in high-density lipoprotein (HDL) and very low-density lipoprotein (VLDL) particles (e.g., -0.002 mmol/l or -0.18 SD units; 95% CI -0.24--0.11 for triglycerides in chylomicrons and extremely large very low-density lipoprotein [XL VLDL]) and with glycoprotein acetyls (-0.02 mmol/l or -0.16 SD units; 95% CI -0.22--0.10), among others. Associations were similar for mean activity across 3 occasions. Attenuations were modest with adjustment for fat mass index based on dual-energy X-ray absorptiometry (DXA). In mutually adjusted models, higher MVPA and sedentary time were oppositely associated with cholesterol and triglycerides in VLDL and HDL particles (MVPA more strongly with glycoprotein acetyls and sedentary time more strongly with amino acids). Associations appeared less consistent for sedentary time than for MVPA based on longer-term measures and were weak for change in all activity types from age 12y-15y. Evidence was also weak for interaction between activity types at age 15y and previous activity measures in relation to most traits (minimum P = 0.003; median P = 0.26 for counts/min) with interaction coefficients mostly positive. Study limitations include modest sample sizes and relatively short durations of accelerometry measurement on each occasion (3-7 d) and of time lengths between first and last accelerometry occasions (<4 years), which can obscure patterns from chance variation and limit description of activity trajectories. Activity was also recorded using uniaxial accelerometers which predated more sensitive triaxial devices. CONCLUSIONS Our results support associations of physical activity with metabolic traits that are small in magnitude and more robust for higher MVPA than lower sedentary time. Activity fluctuates over time, but associations of current activity with most metabolic traits do not differ by previous activity. This suggests that the metabolic effects of physical activity, if causal, depend on most recent engagement.
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Affiliation(s)
- Joshua A. Bell
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Mark Hamer
- School of Sport, Exercise & Health Sciences, Loughborough University, Leicestershire, United Kingdom
| | - Rebecca C. Richmond
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - David Carslake
- MRC Integrative Epidemiology Unit at the 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 at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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