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Van Sluijs EMF, Ekelund U, Hallal PC, Hansen BH, Panter J, Salmon J, Sharp SJ, Sherar LB, Atkin AJ. Family Car Ownership: Driving Inactivity in Young People? Cross-Sectional and Longitudinal Analyses in the International Children's Accelerometry Database. J Phys Act Health 2024:1-10. [PMID: 39424287 DOI: 10.1123/jpah.2024-0044] [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: 01/17/2024] [Revised: 08/15/2024] [Accepted: 08/20/2024] [Indexed: 10/21/2024]
Abstract
BACKGROUND Ubiquitous car ownership may affect children's activity and health. We assessed the cross-sectional and longitudinal associations between household car ownership and children's daily time spent sedentary (SED) and in moderate to vigorous physical activity (MVPA). METHODS Pooled cohort data were from the International Children's Accelerometry Database. Outcome measures were average daily accelerometer-measured SED and MVPA (in minutes per day). Exposures were household car ownership (none, 1, and ≥2) and change in car ownership. Associations were examined using multivariable mixed-effects linear regression. RESULTS Mean age of participants (N = 4193) was 10.4 years (SD = 2.0), 53.4% were girls, and mean follow-up duration (N = 1333) was 3.3 years (SD = 1.1). Cross-sectionally, household car ownership was associated with higher SED (vs none: 1 car: β = 14.1 min/d, 95% CI, 6.7-21.5; ≥2 cars: 12.8, 95% CI, 5.3-20.4) and lower MVPA (vs none: 1 car: β = -8.8, 95% CI, -11.9 to -5.7; ≥2 cars: β = -8.8, 95% CI, -12.0 to -5.7). Associations were stronger in boys than girls and in children from lower socioeconomic backgrounds (SED only). Prospectively, there were no associations with increased car ownership. Reductions in household car ownership (of which 93.1% had ≥ 2 cars at baseline) were associated with a greater reduction in MVPA (vs no change: β = -8.4, 95% CI, -13.9 to -3.0) but not SED. CONCLUSIONS Children in households with car access were more SED and less active than those without. Losing access to a second car was associated with greater decreases in MVPA, potentially related to losing access to activity-enabling environments. Reducing car access and use are important public health targets (eg, reducing air pollution), but their potential impact on children's activity opportunities should be mitigated.
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Affiliation(s)
- Esther M F Van Sluijs
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Ulf Ekelund
- Department of Sport Science, Norwegian School of Sport Sciences, Ullevål stadion, Oslo, Norway
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Pedro C Hallal
- Rua Marechal Deodoro, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Bjorge H Hansen
- Department of Sport Science, Norwegian School of Sport Sciences, Ullevål stadion, Oslo, Norway
- Department of Sport Science and Physical Education, University of Agdder, Kristiansand, Norway
| | - Jenna Panter
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Jo Salmon
- Institute for Physical Activity and Nutrition Research, Deakin University, Burwood, VIC, Australia
| | - Stephen J Sharp
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Lauren B Sherar
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Andrew J Atkin
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- School of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, United Kingdom
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2
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Alamoudi NA, Algabbani MF, Al-Heizan MO, Alhusaini AA. Physical activity and sedentary behavior among ambulatory children with cerebral palsy using accelerometer: a cross-sectional study. Front Pediatr 2024; 12:1463288. [PMID: 39363968 PMCID: PMC11448126 DOI: 10.3389/fped.2024.1463288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Accepted: 09/09/2024] [Indexed: 10/05/2024] Open
Abstract
Background and objective Physical activity (PA) is paramount for childhood development and growth. However, children diagnosed with Cerebral Palsy (CP) were often considered sedentary, and their physical inactivity was associated with adverse health conditions and complications. Therefore, this study aimed to objectively describe and compare the PA levels and SB levels of children with and without CP of the same age group. It also studied the factors correlating with PA, SB, and step count per day in children with CP. Subjects and methods A cross-sectional study using a wrist-worn accelerometer was conducted. PA and SB were measured over seven consecutive days. Results Eighty-five children aged 6-12 years, consisting of 41 children with CP and 44 TD children, participated in this study with a mean age of 9.18 ± 1.95 and 8.45 ± 1.78 years, respectively. According to the gross functional measures, 53.6% of children with CP were classified as first classification. A significant amount of time was spent in SB and Light PA (LPA) by children with CP compared to TD children, and no significant differences were observed in moderate PA (MPA) or step count. Gender mainly affected MPA as girls spent more time in MPA than boys. The age, height, and weight of children with CP correlate significantly with SB. As children's age, height, and weight increase, SB increases. Additionally, children with higher weights have lower step counts per day. Conclusion This study showed that children with CP spend more time in LPA and SB than typically developed children. Therefore, concerted efforts are needed to encourage physical activity and reduce the sedentary lifestyle, to take into account the gender and anthropometric measures of children to enhance the quality of life among children with CP, and to consider gender and anthropometric measures of the children.
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Affiliation(s)
- Njoud Aydhah Alamoudi
- Department of Health Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Maha F Algabbani
- Department of Health Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Muhammad O Al-Heizan
- Department of Health Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Adel A Alhusaini
- Department of Health Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
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Sone M, Altenburg TM, ChinAPaw MJM. Challenges and Future Directions for Promoting Intersectional Quantitative Studies in Physical Activity Research. J Phys Act Health 2024:1-4. [PMID: 39251192 DOI: 10.1123/jpah.2024-0480] [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: 07/15/2024] [Accepted: 07/19/2024] [Indexed: 09/11/2024]
Abstract
Understanding health inequalities is essential for improving social justice. Intersectionality refers to a theoretical framework for studying the intersection of multiple social categorizations that create unique experiences and related social inequalities. Currently, the majority of the intersectional studies in the physical activity field have a qualitative design; thus, there is a need for quantitative intersectional studies. This commentary aims to explore primary obstacles impeding intersectional quantitative research and provide recommendations for overcoming these obstacles in physical activity research. In the commentary, we discuss that the lack of accessibility of large-scale and diverse data sets, and suboptimal social categorizations and intersectionality-related questions may contribute to the scarcity of intersectional quantitative research in the field. To facilitate intersectional quantitative analyses, we advocate for making large-scale data sets accessible for intersectional secondary analyses, diverse sampling, standardizing questions and categories related to intersectionality, promoting inclusive research designs and methods, and using the appropriate questions and social categorization that reflect the distinct experiences of each subgroup. By addressing these challenges, researchers may gain new insights into health disparities, making physical activity research more inclusive and contributing to more equitable health outcomes.
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Affiliation(s)
- Mari Sone
- Department of Public and Occupational Health, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Health Behaviors and Chronic Diseases, Amsterdam Public Health, Amsterdam, The Netherlands
| | - Teatske M Altenburg
- Department of Public and Occupational Health, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Health Behaviors and Chronic Diseases, Amsterdam Public Health, Amsterdam, The Netherlands
| | - Mai J M ChinAPaw
- Department of Public and Occupational Health, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Health Behaviors and Chronic Diseases, Amsterdam Public Health, Amsterdam, The Netherlands
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4
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Salway R, Jago R, de Vocht F, House D, Porter A, Walker R, Kipping R, Owen CG, Hudda MT, Northstone K, van Sluijs E. School-level intra-cluster correlation coefficients and autocorrelations for children's accelerometer-measured physical activity in England by age and gender. BMC Med Res Methodol 2024; 24:179. [PMID: 39123109 PMCID: PMC11313128 DOI: 10.1186/s12874-024-02290-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 07/17/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Randomised, cluster-based study designs in schools are commonly used to evaluate children's physical activity interventions. Sample size estimation relies on accurate estimation of the intra-cluster correlation coefficient (ICC), but published estimates, especially using accelerometry-measured physical activity, are few and vary depending on physical activity outcome and participant age. Less commonly-used cluster-based designs, such as stepped wedge designs, also need to account for correlations over time, e.g. cluster autocorrelation (CAC) and individual autocorrelation (IAC), but no estimates are currently available. This paper estimates the school-level ICC, CAC and IAC for England children's accelerometer-measured physical activity outcomes by age group and gender, to inform the design of future school-based cluster trials. METHODS Data were pooled from seven large English datasets of accelerometer-measured physical activity data between 2002-18 (> 13,500 pupils, 540 primary and secondary schools). Linear mixed effect models estimated ICCs for weekday and whole week for minutes spent in moderate-to-vigorous physical activity (MVPA) and being sedentary for different age groups, stratified by gender. The CAC (1,252 schools) and IAC (34,923 pupils) were estimated by length of follow-up from pooled longitudinal data. RESULTS School-level ICCs for weekday MVPA were higher in primary schools (from 0.07 (95% CI: 0.05, 0.10) to 0.08 (95% CI: 0.06, 0.11)) compared to secondary (from 0.04 (95% CI: 0.03, 0.07) to (95% CI: 0.04, 0.10)). Girls' ICCs were similar for primary and secondary schools, but boys' were lower in secondary. For all ages, combined the CAC was 0.60 (95% CI: 0.44-0.72), and the IAC was 0.46 (95% CI: 0.42-0.49), irrespective of follow-up time. Estimates were higher for MVPA vs sedentary time, and for weekdays vs the whole week. CONCLUSIONS Adequately powered studies are important to evidence effective physical activity strategies. Our estimates of the ICC, CAC and IAC may be used to plan future school-based physical activity evaluations and were fairly consistent across a range of ages and settings, suggesting that results may be applied to other high income countries with similar school physical activity provision. It is important to use estimates appropriate to the study design, and that match the intended study population as closely as possible.
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Affiliation(s)
- Ruth Salway
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Russell Jago
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- The National Institute for Health Research, Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Frank de Vocht
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- The National Institute for Health Research, Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Danielle House
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Alice Porter
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Robert Walker
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ruth Kipping
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Christopher G Owen
- Population Health Research Institute, St George's, University of London, London, UK
| | - Mohammed T Hudda
- Department of Population Health, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Kate Northstone
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Esther van Sluijs
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
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5
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Alexander CJ, Manske SL, Edwards WB, Gabel L. Adapting the Intensity Gradient for Use with Count-Based Accelerometry Data in Children and Adolescents. SENSORS (BASEL, SWITZERLAND) 2024; 24:3019. [PMID: 38793873 PMCID: PMC11125286 DOI: 10.3390/s24103019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 05/03/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024]
Abstract
The intensity gradient is a new cutpoint-free metric that was developed to quantify physical activity (PA) measured using accelerometers. This metric was developed for use with the ENMO (Euclidean norm minus one) metric, derived from raw acceleration data, and has not been validated for use with count-based accelerometer data. In this study, we determined whether the intensity gradient could be reproduced using count-based accelerometer data. Twenty participants (aged 7-22 years) wore a GT1M, an ActiGraph (count-based), and a GT9X, ActiGraph (raw accelerations) accelerometer during both in-lab and at-home protocols. We found strong agreement between GT1M and GT9X counts during the combined in-lab activities (mean bias = 2 counts) and between minutes per day with different intensities of activity (e.g., sedentary, light, moderate, and vigorous) classified using cutpoints (mean bias < 5 min/d at all intensities). We generated bin sizes that could be used to generate IGs from the count data (mean bias = -0.15; 95% LOA [-0.65, 0.34]) compared with the original IG. Therefore, the intensity gradient could be used to analyze count data. The count-based intensity gradient metric will be valuable for re-analyzing historical datasets collected using older accelerometer models, such as the GT1M.
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Affiliation(s)
- Christina J. Alexander
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
- Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
- Alberta Children’s Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Sarah L. Manske
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - W. Brent Edwards
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
- Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Leigh Gabel
- Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
- Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
- Alberta Children’s Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
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6
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Kretschmer L, Salali GD, Andersen LB, Hallal PC, Northstone K, Sardinha LB, Dyble M, Bann D. Gender differences in the distribution of children's physical activity: evidence from nine countries. Int J Behav Nutr Phys Act 2023; 20:103. [PMID: 37667391 PMCID: PMC10478357 DOI: 10.1186/s12966-023-01496-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/26/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Physical activity in childhood is thought to influences health and development. Previous studies have found that boys are typically more active than girls, yet the focus has largely been on differences in average levels or proportions above a threshold rather than the full distribution of activity across all intensities. We thus examined differences in the distribution of physical activity between girls and boys in a multi-national sample of children. METHODS We used the harmonised International Children Accelerometry Database (ICAD), including waist-worn accelerometry data from 15,461 individuals (Boys: 48.3%) from 9 countries. Employing Generalised Additive Models of Location, Shape, and Scale (GAMLSS) we investigated gender differences in the distribution of individuals, including comparisons of variability (SD) and average physical activity levels (mean and median) and skewness. We conducted this analysis for each activity intensity (Sedentary, Light, and Moderate-to-Vigorous (MVPA)) and a summary measure (counts per minute (CPM)). RESULTS Sizable gender differences in the distribution of activity were found for moderate to vigorous activity and counts per minute, with boys having higher average levels (38% higher mean volumes of MVPA, 20% higher CPM), yet substantially more between-person variability (30% higher standard deviation (SD) for MVPA, 17% higher SD for CPM); boys' distributions were less positively skewed than girls. Conversely, there was little to no difference between girls and boys in the distribution of sedentary or light-intensity activity. CONCLUSIONS Inequality in activity between girls and boys was driven by MVPA. The higher mean volumes of MVPA in boys occurred alongside greater variability. This suggests a need to consider the underlying distribution of activity in future research; for example, interventions which target gender inequality in MVPA may inadvertently lead to increased inequality within girls.
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Affiliation(s)
- Luke Kretschmer
- Centre for Longitudinal Studies, Social Research Institute, UCL, London, UK.
- Department of Anthropology, University College London, 14 Taviton Street, London, UK.
| | - Gul Deniz Salali
- Department of Anthropology, University College London, 14 Taviton Street, London, UK
| | - Lars Bo Andersen
- Department of Sport, Food and Natural Sciences, Faculty of Teacher Education and Sports, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Pedro C Hallal
- Department of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana-Champaign, USA
| | - Kate Northstone
- Bristol School of Medicine, Population Health Sciences, University of Bristol, Bristol, UK
| | - Luís B Sardinha
- Exercise and Health Laboratory, Faculdade de Motricidade Humana, CIPER, Universidade de Lisboa, Cruz Quebrada, Portugal
| | - Mark Dyble
- Department of Anthropology, University College London, 14 Taviton Street, London, UK
| | - David Bann
- Centre for Longitudinal Studies, Social Research Institute, UCL, London, UK
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7
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Thomas JJC, Daley AJ, Esliger DW, Kettle VE, Coombe A, Stamatakis E, Sanders JP. Accelerometer-Measured Physical Activity Data Sets (Global Physical Activity Data Set Catalogue) That Include Markers of Cardiometabolic Health: Systematic Scoping Review. J Med Internet Res 2023; 25:e45599. [PMID: 37467026 PMCID: PMC10398367 DOI: 10.2196/45599] [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: 01/12/2023] [Revised: 04/18/2023] [Accepted: 05/08/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Cardiovascular disease accounts for 17.9 million deaths globally each year. Many research study data sets have been collected to answer questions regarding the relationship between cardiometabolic health and accelerometer-measured physical activity. This scoping review aimed to map the available data sets that have collected accelerometer-measured physical activity and cardiometabolic health markers. These data were then used to inform the development of a publicly available resource, the Global Physical Activity Data set (GPAD) catalogue. OBJECTIVE This review aimed to systematically identify data sets that have measured physical activity using accelerometers and cardiometabolic health markers using either an observational or interventional study design. METHODS Databases, trial registries, and gray literature (inception until February 2021; updated search from February 2021 to September 2022) were systematically searched to identify studies that analyzed data sets of physical activity and cardiometabolic health outcomes. To be eligible for inclusion, data sets must have measured physical activity using an accelerometric device in adults aged ≥18 years; a sample size >400 participants (unless recruited participants in a low- and middle-income country where a sample size threshold was reduced to 100); used an observational, longitudinal, or trial-based study design; and collected at least 1 cardiometabolic health marker (unless only body mass was measured). Two reviewers screened the search results to identify eligible studies, and from these, the unique names of each data set were recorded, and characteristics about each data set were extracted from several sources. RESULTS A total of 17,391 study reports were identified, and after screening, 319 were eligible, with 122 unique data sets in these study reports meeting the review inclusion criteria. Data sets were found in 49 countries across 5 continents, with the most developed in Europe (n=53) and the least in Africa and Oceania (n=4 and n=3, respectively). The most common accelerometric brand and device wear location was Actigraph and the waist, respectively. Height and body mass were the most frequently measured cardiometabolic health markers in the data sets (119/122, 97.5% data sets), followed by blood pressure (82/122, 67.2% data sets). The number of participants in the included data sets ranged from 103,712 to 120. Once the review processes had been completed, the GPAD catalogue was developed to house all the identified data sets. CONCLUSIONS This review identified and mapped the contents of data sets from around the world that have collected potentially harmonizable accelerometer-measured physical activity and cardiometabolic health markers. The GPAD catalogue is a web-based open-source resource developed from the results of this review, which aims to facilitate the harmonization of data sets to produce evidence that will reduce the burden of disease from physical inactivity.
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Affiliation(s)
- Jonah J C Thomas
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
| | - Amanda J Daley
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
| | - Dale W Esliger
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
- Lifestyle, National Institute of Health Research Leicester Biomedical Research Centre, Leicester, United Kingdom
| | - Victoria E Kettle
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
| | - April Coombe
- Public Health, Epidemiology and Biostatistics, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Emmanuel Stamatakis
- Charles Perkin Centre, Faculty of Medicine and Health Science, University of Sydney, Sydney, Australia
| | - James P Sanders
- School of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom
- National Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom
- Centre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom
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Perry AS, Dooley EE, Master H, Spartano NL, Brittain EL, Gabriel KP. Physical Activity Over the Lifecourse and Cardiovascular Disease. Circ Res 2023; 132:1725-1740. [PMID: 37289900 PMCID: PMC10254078 DOI: 10.1161/circresaha.123.322121] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Despite improvements in cardiovascular care in recent decades, cardiovascular disease (CVD) remains a leading cause of death worldwide. At its core, CVD is a largely preventable disease with diligent risk factor management and early detection. As highlighted in the American Heart Association's Life's Essential 8, physical activity plays a central role in CVD prevention at an individual and population level. Despite pervasive knowledge of the numerous cardiovascular and noncardiovascular health benefits of physical activity, physical activity has steadily decreased over time and unfavorable changes in physical activity occur throughout people's lives. Here, we use a lifecourse framework to examine the evidence reporting on the association of physical activity with CVD. From in utero to older adults, we review and discuss the evidence detailing how physical activity may prevent incident CVD and mitigate CVD-related morbidity and death across all life stages.
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Affiliation(s)
- Andrew S. Perry
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Erin E. Dooley
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hiral Master
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Nicole L. Spartano
- Section of Endocrinology, Diabetes, Nutrition, and Weight Management, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Evan L. Brittain
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Kelley Pettee Gabriel
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA
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9
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Bourke M, Haddara A, Loh A, Carson V, Breau B, Tucker P. Adherence to the World Health Organization's physical activity recommendation in preschool-aged children: a systematic review and meta-analysis of accelerometer studies. Int J Behav Nutr Phys Act 2023; 20:52. [PMID: 37101226 PMCID: PMC10132436 DOI: 10.1186/s12966-023-01450-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 04/06/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND The World Health Organization (WHO) recommend that preschool-aged children should engage in 180 min of total physical activity (TPA) including 60 min of moderate-to-vigorous physical activity (MVPA) each day. No systematic reviews or meta-analyses have pooled adherence to the recommendation across multiple studies. This study aimed to estimate the prevalence of preschool-aged children achieving the WHO's physical activity recommendation for young children, and determine if the prevalence differed between boys and girls. METHODS Primary literature searches were conducted on six online databases and a machine learning assisted systematic review was used to identify relevant studies. Studies written in English reporting on the prevalence of children aged 3-5 years achieving overall WHO physical activity recommendation or the individual TPA or MVPA aspects of the recommendation measured using accelerometers were eligible for inclusion. Random effects meta-analysis was used to determine the prevalence of preschools achieving the overall WHO recommendation and the individual TPA and MVPA aspect of the recommendation, and to determine difference in prevalence between boys and girls. RESULTS Forty-eight studies reporting on 20,078 preschool-aged children met the inclusion criteria. Based on the most commonly employed accelerometer cut-points across all aspects of the recommendation, 60% (95% Confidence Interval [CI] = 37%, 79%) of preschool-aged children adhered to the overall physical activity recommendation, 78% (95% CI = 38%, 95%) adhered to the TPA aspect of the recommendation, and 90% (95% CI = 81%, 95%) adhered to the MVPA aspect of the recommendation. There was substantial variability is prevalence estimates between different accelerometer cut-points. Girls were significantly less likely to achieve the overall recommendation and the MVPA aspect of the recommendation than boys were. CONCLUSIONS Although there was substantial variability in estimated prevalence of preschool-aged children adhering the WHO physical activity recommendation between various accelerometer cut-points, the weight of available evidence suggests that the majority of young children are adhering to the overall recommendation and the individual TPA and MVPA aspects of the recommendation. Large-scale, intercontinental surveillance studies are needed to further strengthen the evidence regarding the prevalence of preschool-aged children achieving physical activity recommendation globally.
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Affiliation(s)
- Matthew Bourke
- School of Occupational Therapy, Faculty of Health Sciences, Western University, London, ON, Canada.
| | - Ameena Haddara
- School of Occupational Therapy, Faculty of Health Sciences, Western University, London, ON, Canada
| | - Aidan Loh
- School of Occupational Therapy, Faculty of Health Sciences, Western University, London, ON, Canada
| | - Valerie Carson
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Becky Breau
- Fowler Kennedy Sport Medicine Clinic, Western University, London, ON, Canada
| | - Patricia Tucker
- School of Occupational Therapy, Faculty of Health Sciences, Western University, London, ON, Canada
- Children's Health Research Institute, London, ON, Canada
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The Challenge of Incomplete Data in Accelerometer Studies: Characteristics of Nonparticipation and Noncompliance in a Nationwide Sample of Adolescents and Young Adults in Germany. J Phys Act Health 2023; 20:226-238. [PMID: 36724792 DOI: 10.1123/jpah.2022-0443] [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: 08/16/2022] [Revised: 10/26/2022] [Accepted: 12/03/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Incomplete data due to nonparticipation and noncompliance with the study protocol can bias the results of studies. We investigated how a nationwide accelerometer sample of adolescents and young adults is affected by such incomplete data. METHODS We analyzed cross-sectional data from 6465 participants (11-31 y old) who participated in a national health survey in Germany (KiGGS Wave 2; 2014-2017). The data included information about the participation in the measurement of physical activity using accelerometers, compliance with the wear-time protocol, and sociodemographic and health-related variables. Multivariable regression analyses were conducted to detect factors associated with incomplete data. RESULTS Of the total sample, 78.0% participated in the accelerometer part of the study, and 83.5% of the participants with data available complied with the wear-time protocol. In 11- to 17-year-olds, the likelihood of having incomplete accelerometer data was higher in boys, older adolescents, adolescents with a lower sociodemographic status, adolescents with overweight, adolescents not participating in organized sport, adolescents not speaking only German at home, current smokers, and adolescents having a higher soft drink consumption. In 18- to 31-year-olds, the likelihood of having incomplete accelerometer data was higher in men, adults with a lower educational level, adults not speaking only German at home, and adults who smoke. CONCLUSIONS Our results suggest that accelerometer samples are biased such that participants with more beneficial health behaviors provide complete accelerometer data more often. This knowledge should be used to design effective recruitment strategies and should be considered when interpreting results of accelerometer studies.
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Skinner AM, Rowlands AV, Vlachopoulos D, Barker AR, Janz KF, Moore SA. The Influence of Accelerometer Epoch Length on Associations of Physical Activity Intensity and Volume with Bone Outcomes. J Sports Sci Med 2023; 22:117-132. [PMID: 36876186 PMCID: PMC9982530 DOI: 10.52082/jssm.2023.117] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 02/09/2023] [Indexed: 02/19/2023]
Abstract
Two accelerometer metrics (intensity-gradient and average-acceleration) can be used to determine the relative contributions of physical activity (PA) volume and intensity for health, but it is unknown whether epoch length influences the associations detected. This is important when considering bone health, as bone is particularly responsive to high intensity PA, which may be underestimated by longer epochs. This study aimed to assess the associations between average-acceleration, a proxy measure of PA volume, and intensity-gradient, reflective of PA intensity distribution, from PA data from 1-s to 60-s epochs at age 17 to 23 years with bone outcomes at age 23 years. This is a secondary analysis of 220 participants (124 females) from the Iowa Bone Development Study, a longitudinal study of bone health from childhood to early adulthood. Accelerometer-assessed PA data, captured at age 17 to 23 years, were summarised over 1-s, 5-s, 15-s, 30-s, and 60-s epochs, to generate average-acceleration and intensity-gradient from each epoch length, averaged across ages. Regression analysed associations between mutually adjusted average-acceleration and intensity-gradient with dual-energy X-ray absorptiometry assessed total-body-less-head (TBLH) bone mineral content (BMC), spine areal bone mineral density (aBMD), hip aBMD, and femoral neck cross-sectional area and section modulus at age 23 years. Intensity-gradient was positively associated with TBLH BMC in females, with spine aBMD in males, and with hip aBMD and geometry in both sexes, when a 1 to 5-s epoch was used. Average-acceleration was positively associated with TBLH BMC, spine aBMD and hip aBMD in males, generally when the adjustment for intensity-gradient was from > 1-s epochs. Intensity and volume were important for bone outcomes in both sexes and males, respectively. A 1 to 5-s epoch length was most appropriate to assess the mutually adjusted associations of intensity-gradient and average-acceleration with bone outcomes in young adults.
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Affiliation(s)
- Annie M Skinner
- Children's Health and Exercise Research Centre, University of Exeter, Exeter, UK
| | - Alex V Rowlands
- Assessment of Movement Behaviours Group (AMBer), Leicester Lifestyle and Health Research Group, Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, UK
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Sansom Institute for Health Research, Division of Health Sciences, University of South Australia, Adelaide, Australia
| | | | - Alan R Barker
- Children's Health and Exercise Research Centre, University of Exeter, Exeter, UK
| | - Kathleen F Janz
- Department of Health and Human Physiology, The University of Iowa, Iowa City, IA
- Department of Epidemiology, The University of Iowa, Iowa City, IA
| | - Sarah A Moore
- School of Health and Human Performance, Dalhousie University, Halifax, Canada
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12
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Spiekermann J, Sinningen K, Hanusch B, Kleber M, Schündeln MM, Kiewert C, Siggelkow H, Höppner J, Grasemann C. Cardiorespiratory fitness in adolescents and young adults with Klinefelter syndrome - a pilot study. Front Endocrinol (Lausanne) 2023; 14:1106118. [PMID: 36793286 PMCID: PMC9922696 DOI: 10.3389/fendo.2023.1106118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/04/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Klinefelter syndrome (KS) may be associated with a wide spectrum of phenotypic changes including endocrine, metabolic, cognitive, psychiatric and cardiorespiratory pathologies in adults. However, in adolescence the clinical phenotype of KS is not well described, especially regarding physical fitness. The present study reports on cardiorespiratory function in adolescents and young adults with KS. METHODS Adolescents and young adults with KS were recruited in a cross-sectional pilot study. Biochemical parameters of fitness including hormonal status, a body impedance analysis, the grip strength, the amount of physical activity at home for 5 days via trackbands and anamnestic parameters were assessed. In addition, participants underwent an incremental symptom-limited cardiopulmonary exercise test (CPET) on a bicycle ergometer. RESULTS Nineteen participants with KS aged 15.90 ± 4.12 years (range: 9.00 - 25.00) participated in the study. Pubertal status was Tanner 1 (n = 2), Tanner 2 - 4 (n = 7) and Tanner 5 (n = 10). Seven participants received testosterone replacement therapy. Mean BMI z-score was 0.45 ± 1.36 and mean fat mass was 22.93% ± 9.09. Grip strength was age-appropriate or above normal. 18 participants underwent CPET with subnormal results for maximum heart rate (z-score -2.84 ± 2.04); maximum workload (Wattmax; z score -1.28 ± 1.15) and maximum oxygen uptake per minute (z- score -2.25 ± 2.46). Eight participants (42.1%) met the criteria for chronotropic insufficiency (CI). Data from track-bands showed sedentary behavior for 81.15% ± 6.72 of the wear time. CONCLUSION A substantial impairment of cardiopulmonary function can be detected in this group of boys to young adults with KS, including chronotropic insufficiency in 40%. The track-band data suggest a predominantly sedentary lifestyle, despite normal muscular strength as assessed via grip strength. Future studies need to investigate the cardiorespiratory system and its adaption to physical stress in a larger cohort and in more detail. It is feasible that the observed impairments contribute to the avoidance of sports in individuals with KS and may contribute to the development of obesity and the unfavorable metabolic phenotype.
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Affiliation(s)
- Julia Spiekermann
- University Hospital of Pediatrics and Adolescent Medicine, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
- Center for Rare Diseases Ruhr (CeSER) , Ruhr-University Bochum and Witten/Herdecke University, Witten-Herdecke, Germany
| | - Kathrin Sinningen
- University Hospital of Pediatrics and Adolescent Medicine, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Beatrice Hanusch
- University Hospital of Pediatrics and Adolescent Medicine, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Michaela Kleber
- University Hospital of Pediatrics and Adolescent Medicine, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Michael M. Schündeln
- Division of Pediatric Hematology and Oncology, Department of Pediatrics III, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Cordula Kiewert
- Division of Pediatric Endocrinology, Department of Pediatrics II, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Heide Siggelkow
- Clinic of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medical Center Goettingen, Goettingen, Germany and MVZ Endokrinologikum Goettingen, Goettingen, Germany
| | - Jakob Höppner
- University Hospital of Pediatrics and Adolescent Medicine, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
- Center for Rare Diseases Ruhr (CeSER) , Ruhr-University Bochum and Witten/Herdecke University, Witten-Herdecke, Germany
| | - Corinna Grasemann
- University Hospital of Pediatrics and Adolescent Medicine, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
- Center for Rare Diseases Ruhr (CeSER) , Ruhr-University Bochum and Witten/Herdecke University, Witten-Herdecke, Germany
- *Correspondence: Corinna Grasemann,
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13
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Orme MW, Jayamaha AR, Santin L, Singh SJ, Pitta F. A Call for Action on Chronic Respiratory Diseases within Physical Activity Policies, Guidelines and Action Plans: Let's Move! INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16986. [PMID: 36554866 PMCID: PMC9779594 DOI: 10.3390/ijerph192416986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/09/2022] [Accepted: 12/14/2022] [Indexed: 06/17/2023]
Abstract
Global policy documents for the promotion of physical activity (PA) play an important role in the measurement, evaluation, and monitoring of population PA levels. The World Health Organisation (WHO) guidelines include, for the first time, recommendations for specific populations, including individuals living with a range of non-communicable diseases. Of note, is the absence of any chronic respiratory diseases (CRDs) within the recommendations. Globally, CRDs are highly prevalent, are attributable to significant individual and societal burdens, and are characterised by low PA. As a community, there is a need to come together to understand how to increase CRD representation within global PA policy documents, including where the evidence gaps are and how we can align with PA research in other contexts. In this commentary, the potential for synergy between evidence into the relationships between PA in CRDs globally and the relevance to current policies, guidelines and action plans on population levels of PA are discussed. Furthermore, actions and considerations for future research, including the need to harmonize and promote PA assessment (particularly in low- and middle-income countries) and encompass the synergistic influences of PA, sedentary behaviour and sleep on health outcomes in CRD populations are presented.
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Affiliation(s)
- Mark W. Orme
- Department of Respiratory Sciences, University of Leicester, Leicester LE1 7RH, UK
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Leicester LE3 9QP, UK
| | - Akila R. Jayamaha
- Department of Respiratory Sciences, University of Leicester, Leicester LE1 7RH, UK
- Department of Research and Development, Faculty of Nursing, KAATSU International University, Battaramulla 10120, Sri Lanka
| | - Lais Santin
- Laboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina 86057-970, Brazil
| | - Sally J. Singh
- Department of Respiratory Sciences, University of Leicester, Leicester LE1 7RH, UK
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Leicester LE3 9QP, UK
| | - Fabio Pitta
- Laboratory of Research in Respiratory Physiotherapy, Health Sciences Center, Universidade Estadual de Londrina, Londrina 86057-970, Brazil
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GAMMON CATHERINE, ATKIN ANDREWJ, CORDER KIRSTEN, EKELUND ULF, HANSEN BJØRGEHERMAN, SHERAR LAURENB, ANDERSEN LARSBO, ANDERSSEN SIGMUND, DAVEY RACHEL, HALLAL PEDROC, JAGO RUSSELL, KRIEMLER SUSI, KRISTENSEN PETERLUND, KWON SOYANG, NORTHSTONE KATE, PATE RUSSELL, SALMON JO, SARDINHA LUISB, VAN SLUIJS ESTHERMF. Influence of Guideline Operationalization on Youth Activity Prevalence in the International Children's Accelerometry Database. Med Sci Sports Exerc 2022; 54:1114-1122. [PMID: 35195101 PMCID: PMC9208806 DOI: 10.1249/mss.0000000000002884] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
INTRODUCTION The United Kingdom and World Health Organization recently changed their youth physical activity (PA) guidelines from 60 min of moderate- to vigorous-intensity PA (MVPA) every day, to an average of 60 min of MVPA per day, over a week. The changes are based on expert opinion due to insufficient evidence comparing health outcomes associated with different guideline definitions. This study used the International Children's Accelerometry Database to compare approaches to calculating youth PA compliance and associations with health indicators. METHODS Cross-sectional accelerometer data (n = 21,612, 5-18 yr) were used to examine compliance with four guideline definitions: daily method (DM; ≥60 min MVPA every day), average method (AM; average of ≥60 min MVPA per day), AM5 (AM compliance and ≥5 min of vigorous PA [VPA] on ≥3 d), and AM15 (AM compliance and ≥15 min VPA on ≥3 d). Associations between compliance and health indicators were examined for all definitions. RESULTS Compliance varied from 5.3% (DM) to 29.9% (AM). Associations between compliance and health indicators were similar for AM, AM5, and AM15. For example, compliance with AM, AM5, and AM15 was associated with a lower BMI z-score (statistics are coefficient [95% CI]): AM (-0.28 [-0.33 to -0.23]), AM5 (-0.28 [-0.33 to -0.23], and AM15 (-0.30 [-0.35 to -0.25]). Associations between compliance and health indicators for DM were similar/weaker, possibly reflecting fewer DM-compliant participants with health data and lower variability in exposure/outcome data. CONCLUSIONS Youth completing 60 min of MVPA every day do not experience superior health benefits to youth completing an average of 60 min of MVPA per day. Guidelines should encourage youth to achieve an average of 60 min of MVPA per day. Different guideline definitions affect inactivity prevalence estimates; this must be considered when analyzing data and comparing studies.
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Affiliation(s)
- CATHERINE GAMMON
- Centre for Diet and Activity Research (CEDAR) and MRC Epidemiology Unit, University of Cambridge, Cambridge, UNITED KINGDOM
- School of Health Promotion and Human Performance, Eastern Michigan University, Ypsilanti, MI
| | - ANDREW J. ATKIN
- School of Heath Sciences, University of East Anglia, East Anglia, UNITED KINGDOM
| | - KIRSTEN CORDER
- Centre for Diet and Activity Research (CEDAR) and MRC Epidemiology Unit, University of Cambridge, Cambridge, UNITED KINGDOM
| | - ULF EKELUND
- Norwegian School of Sport Sciences, Oslo, NORWAY
| | - BJØRGE HERMAN HANSEN
- Norwegian School of Sport Sciences, Oslo, NORWAY
- Department of Sport Science and Physical Education, University of Agder, Kristiansand, NORWAY
| | - LAUREN B. SHERAR
- School of Sports, Exercise and Health Sciences, Loughborough University, Loughborough, UNITED KINGDOM
| | - LARS BO ANDERSEN
- Norwegian School of Sport Sciences, Oslo, NORWAY
- Faculty of Education, Arts and Sport, Western Norway University of Applied Sciences, Sogndal, NORWAY
| | | | - RACHEL DAVEY
- Health Research Institute, University of Canberra, Canberra, AUSTRALIA
| | | | - RUSSELL JAGO
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UNITED KINGDOM
| | - SUSI KRIEMLER
- Epidemiology, Biostatistics and Public Health Institute, University of Zürich, Zürich, SWITZERLAND
| | - PETER LUND KRISTENSEN
- Department of Sports Science and Clinical Biomechanics, Research Unit for Exercise Epidemiology, Centre of Research in Childhood Health, University of Southern Denmark, Odense, DENMARK
| | - SOYANG KWON
- Stanley Manne Children’s Research Institute, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL
| | - KATE NORTHSTONE
- Bristol Medical School, University of Bristol, Bristol, UNITED KINGDOM
| | - RUSSELL PATE
- Department of Exercise Science, University of South Carolina, Columbia, SC
| | - JO SALMON
- Institute for Physical Activity and Nutrition and School of Exercise and Nutrition Sciences, Deakin University, Geelong, AUSTRALIA
| | - LUIS B. SARDINHA
- Exercise and Health Laboratory, CIPER, Faculty of Human Kinetics, Universidade de Lisboa, Lisbon, PORTUGAL
| | - ESTHER M. F. VAN SLUIJS
- Centre for Diet and Activity Research (CEDAR) and MRC Epidemiology Unit, University of Cambridge, Cambridge, UNITED KINGDOM
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15
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Ptomey LT, Lee J, White DA, Helsel BC, Washburn RA, Donnelly JE. Changes in physical activity across a 6-month weight loss intervention in adolescents with intellectual and developmental disabilities. JOURNAL OF INTELLECTUAL DISABILITY RESEARCH : JIDR 2022; 66:545-557. [PMID: 34915594 PMCID: PMC9469505 DOI: 10.1111/jir.12909] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 10/22/2021] [Accepted: 11/24/2021] [Indexed: 05/30/2023]
Abstract
BACKGROUND Adolescents and young adults with intellectual and developmental disabilities (IDD) have high rates of obesity and low levels of physical activity. This analysis examined changes in light, moderate-to-vigorous physical activity (MVPA) and sedentary time, and the association between changes in MVPA and weight loss in adolescents and young adults with IDD and overweight and obesity participating in a 6-month multi-component weight loss intervention. METHODS Adolescents and young adults with IDD and overweight or obesity (body mass index ≥ 85 percentile, n = 110, age ~16 years, 52.7% female) and a parent were randomised to one of three intervention groups: face-to-face delivery/conventional reduced energy diet (n = 36), remote delivery (RD)/conventional reduced energy diet (n = 39), or RD/reduced energy enhanced stop light diet (eSLD) (n = 35.) Participants were asked to engage in 60 min/day of MVPA on 5 or more days/wk. Participants and a parent attended twice monthly education/behavioural counselling sessions with a health educator to assist participants in complying with dietary and MVPA recommendations. Education/counselling in the RD arms was delivered remotely using video conferencing, and self-monitoring of MVPA and daily steps was completed using a wireless activity tracker. Education/counselling in the face-to-face arm was delivered during home-visits and self-monitoring of MVPA and daily steps was completed by self-report using paper tracking forms designed for individuals with IDD. MVPA, light activity, and sedentary time were assessed over 7 days at baseline and 6 months using a portable accelerometer (ActiGraph wGT3x-BT). RESULTS Mixed modelling analysis completed using participants with valid accelerometer data (i.e. ≥4-10 h days) at baseline (n = 68) and 6 months (n = 30) revealed no significant changes in light, moderate- MVPA, or sedentary time across the 6-month intervention (all P > 0.05). Participants obtained 15.2 ± 21.5 min/day of MVPA at baseline and 19.7 ± 19.7 min/day at 6 months (P = 0.119). Mixed modelling indicated no significant effects of group (P = 0.79), time (P = 0.10), or group-by-time interaction (P = 0.21) on changes in MVPA from baseline to 6 months. Correlational analysis conducted on participants with valid accelerometer data at both baseline and 6 months (n = 24) revealed no significant associations between baseline sedentary time (r = 0.10, P = 0.40) and baseline MVPA (r = -0.22, P = 0.30) and change in MVPA across the 6-month intervention. Additionally, attendance at education/counselling sessions (r = 0.26, P = 0.22) and frequency of self-monitoring of MVPA were not significantly associated with change in MVPA from baseline to 6 months (r = 0.26, P = 0.44). Baseline MVPA (r = 0.02, P = 0.92) and change in MVPA from baseline to 6 months (r = 0.13, P = 0.30) were not associated with changes in body weight across the 6-month intervention. CONCLUSION We observed a non-significant increase in MVPA (30%), which was not associated with the magnitude of weight loss in a sample of adolescents and young adults with IDD who participated in a 6-month multi-component weight loss intervention. Additional strategies to increase MVPA in adolescents and young adults with IDD participating in weight loss interventions need to be developed and evaluated.
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Affiliation(s)
- Lauren T. Ptomey
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160 USA
| | - Jaehoon Lee
- Institute for Measurement, Methodology, Analysis and Policy, Texas Tech University, 2500 Broadway, Lubbock, TX, 79409 USA
| | - David A. White
- Ward Family Heart Center, Children’s Mercy Hospital Kansas City, Kansas City, MO USA
| | - Brian C. Helsel
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160 USA
| | - Richard A. Washburn
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160 USA
| | - Joseph E. Donnelly
- Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160 USA
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16
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Ikeda E, Guagliano JM, Atkin AJ, Sherar LB, Ekelund U, Hansen B, Northstone K, van Sluijs E. Cross-sectional and longitudinal associations of active travel, organised sport and physical education with accelerometer-assessed moderate-to-vigorous physical activity in young people: the International Children's Accelerometry Database. Int J Behav Nutr Phys Act 2022; 19:41. [PMID: 35366914 PMCID: PMC8977036 DOI: 10.1186/s12966-022-01282-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 03/22/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Physical activity (PA) declines during childhood. Important sources of PA are active travel, organised sport and physical education (PE), but it is unclear how these domain-specific PA sources contribute to (changes in) daily moderate-to-vigorous PA (MVPA) in young people. This study aimed to examine (1) the cross-sectional association between domain-specific physical activity (i.e., active travel, organised sport and PE) and daily minutes in accelerometer-assessed MVPA; and (2) the longitudinal association between domain-specific physical activity at baseline and change in daily minutes in MVPA. METHODS Participants (baseline age 11.3 ± .1.2 years) were drawn from three studies in the International Children's Accelerometry Database. The contribution of self-reported standardised active travel, organised sport and PE to accelerometer-measured daily minutes in MVPA was examined using linear regression. In cross-sectional analyses, MVPA was regressed on each PA domain in separate models, adjusted for study, age, sex, maternal education, season, and monitor wear time. In longitudinal analyses, change in MVPA was regressed on each of the baseline PA domains, additionally adjusting for changes in season and wear time, follow-up duration, and baseline MVPA. R-squared was used to compare variance explained by each PA domain. RESULTS In the cross-sectional analyses (n = 3871), organised sport (standardised β = 3.81, 95% confidence interval [95%CI] = 3.06, 4.56) and active travel (β = 3.46, 95%CI = 2.73, 4.19) contributed more to daily MVPA than PE (β = 0.82, 95%CI = -0.02, 1.66). Compared to the base model which included only covariates (R2 = 21.5%), organised sport (absolute change: + 1.9%) and active travel (+ 1.7%) models explained more of the variance than the PE model (± < 0.1%). Associations followed a similar pattern in the longitudinal analyses (n = 2302), but none of the PA domains predicted change in MVPA (organised sport: standardised β = 0.85, 95%CI = -0.03, 1.72; active travel: β = 0.68, 95%CI = -0.14, 1.50; PE: β = 0.02, 95%CI = -0.87, 0.91). CONCLUSIONS A multi-sectoral approach covering a wide range of PA domains should be promoted to minimise the age-related decline in MVPA during childhood.
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Affiliation(s)
- Erika Ikeda
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
| | - Justin M Guagliano
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- School of Health Sciences, Western Sydney University, Sydney, Australia
| | - Andrew J Atkin
- School of Health Sciences, University of East Anglia, Norwich, UK
- Norwich Epidemiology Centre, University of East Anglia, Norwich, UK
| | - Lauren B Sherar
- School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, UK
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Bjørge Hansen
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway
| | - Kate Northstone
- Population Health Sciences, Bristol School of Medicine, University of Bristol, Bristol, UK
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Larrinaga-Undabarrena A, Albisua N, Río X, Angulo-Garay G, González-Santamaria X, Etxeberria Atxa I, Martínez de Lahidalga Aguirre G, Ruiz de Azua Larrinaga M, Martínez Aguirre-Betolaza A, Gorostegi-Anduaga I, Maldonado-Martín S, Aldaz Arregui J, Guerra-Balic M, Bringas M, Sánchez Isla JR, Coca A. Level of Physical Activity, Sedentary Behavior, and Sleep in the Child and Adolescent Population in the Autonomous Community of the Basque Country (6-17 Years Old): Protocol for the Mugikertu Study. JMIR Res Protoc 2022; 11:e31325. [PMID: 35275088 PMCID: PMC8957001 DOI: 10.2196/31325] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 12/03/2021] [Accepted: 12/22/2021] [Indexed: 12/19/2022] Open
Abstract
Background Physical inactivity and sedentary behavior are increasingly common problems in the general population, which can lead to overweight, obesity, diabetes, cardiovascular disease, and decreased motor and cognitive capacity among children and adolescents. Establishing healthy habits in childhood on the basis of the World Health Organization’s 2020 Physical Activity Guidelines is essential for proper physical, motor, and cognitive development. Objective The primary aim of this study is to describe the level of physical activity (PA), sedentary behavior, and sleep of the child and adolescent population from 6 to 17 years of age in the Basque Autonomous Community (BAC). Our secondary aim is to establish a starting point for future research and intervention protocols to improve the existing reality. Methods This cross-sectional study aims to recruit 1111 children and adolescents, aged 6 to 17 years from the BAC in a representative random sample. Participants will wear the ActiGraph WGT3X-BT triaxial accelerometer for 7 consecutive days in their nondominant wrist, and fill out a habit diary log of PA, mobility, and sleep routine. PA intensities, sedentary behavior, and sleep parameters (total bedtime, total sleep time, and sleep efficiency) will be calculated from raw accelerometer data using SPSS (IBM Corp). Participants will be randomly selected. Results The results of this study intend to demonstrate significant differences in PA levels in different age and gender groups since the volume of school PA in the BAC decreases as the age of the schoolchildren increases. The total study sample includes 1111 participants. In April 2021, up to 50% of the sample size was reached, which is expected to increase to 100% by April 2022. This sample will allow us to analyze, discuss, compare, and assess the reality of the school population, in a sensitive period of adherence to behavior patterns, using data from the geographical and administrative area of the BAC. This study will provide a realistic insight into PA levels among children and adolescents in the BAC. It will also offer scientific contributions on the positive relationship between PA levels and sleep quality in this population. Conclusions This study might highlight the need for the promotion of cross-sectional policies so that children and adolescents may increase their levels of PA, thus improving both the school environment and positive healthy behavior. Trial Registration ISRCTN Registry ISRCTN65573865; https://www.isrctn.com/ISRCTN65573865 International Registered Report Identifier (IRRID) DERR1-10.2196/31325
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Affiliation(s)
- Arkaitz Larrinaga-Undabarrena
- Faculty of Education and Sport, University of Deusto, Bilbao, Spain.,Department of Physical Activity and Health, Osasuna Mugimendua Kontrola SL Mugikon, Bilbao, Spain
| | - Neritzel Albisua
- Mondragón Unibertsitatea, Arrasate, Spain.,Athlon Cooperative Society, Arrasate, Spain
| | - Xabier Río
- Faculty of Education and Sport, University of Deusto, Bilbao, Spain.,Department of Physical Activity and Health, Osasuna Mugimendua Kontrola SL Mugikon, Bilbao, Spain
| | | | | | | | | | | | - Aitor Martínez Aguirre-Betolaza
- Faculty of Education and Sport, University of Deusto, Bilbao, Spain.,Faculty of Education and Sport, University of the Basque Country (UPV/EHU), Vitoria, Spain
| | | | - Sara Maldonado-Martín
- Faculty of Education and Sport, University of the Basque Country (UPV/EHU), Vitoria, Spain
| | - Juan Aldaz Arregui
- Faculty of Law, University of the Basque Country (UPV/EHU), Vitoria, Spain
| | - Myriam Guerra-Balic
- Faculty of Psychology, Education and Sport Sciences - Blanquerna, University Ramon Llull, Barcelona, Spain
| | - Mikel Bringas
- Directorate of Physical Activity and Sports, Basque Government, Vitoria, Spain
| | - José Ramón Sánchez Isla
- Health and Consumption Department, Bilbao Council/Ayuntamiento de Bilbao, Bilbao, Spain.,Faculty of Health and Sciences, University of Deusto, Bilbao, Spain
| | - Aitor Coca
- Faculty of Education and Sport, University of Deusto, Bilbao, Spain
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18
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Werneck AO, Jago R, Kriemler S, Andersen LB, Wedderkopp N, Northstone K, Salmon J, van Sluijs EMF. Association of change in the school travel mode with changes in different physical activity intensities and sedentary time: A International Children's Accelerometry Database Study. Prev Med 2021; 153:106862. [PMID: 34710443 DOI: 10.1016/j.ypmed.2021.106862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 09/06/2021] [Accepted: 10/14/2021] [Indexed: 11/28/2022]
Abstract
Our aim was to assess the association between changes in active travel to school and changes in different intensities of physical activity (i.e. moderate - MPA and vigorous - VPA) and time spent sedentary (SED) among adolescents and assess the moderating effect of children's sex, age and weight status. Data from six cohort studies in the International Children's Accelerometry Database were used (4108 adolescents aged 10-13y at baseline, with 1.9±0.7y of follow-up). Participants self-reported travel mode to school at baseline and follow-up. Mutually exclusive categories of change were created using passive (e.g. by car) or active (cycling or walking) forms of transport (active/active, passive/active, active/passive, passive/passive). Multilevel linear regression analyses assessed associations with change in accelerometer-assessed time spent MPA, VPA and SED, adjusting for potential confounders. The moderation of sex, age and weight status was tested though the inclusion of interaction terms in the regression models. Relative to those remaining in active travel (active/active), participants classified as passive/active increased VPA (B: 2.23 min/d; 95%CI: 0.97-3.48), while active/passive (MPA: -5.38min/d; -6.77 to -3.98; VPA: -2.92min/d; -4.06 to -1.78) and passive/passive (MPA: -4.53min/d; -5.55 to -3.50; VPA: -2.84min/d; -3.68 to -2.01) decreased MPA and VPA. There were no associations with SED. An interaction was observed, age group moderated the association with change in VPA: among 12-13y-olds a greater increase in VPA was observed for the passive/active group compared to active/active. Promoting active travel to school can be a strategy to attenuate the decline in physical activity through adolescence.
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Affiliation(s)
- André O Werneck
- Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo (USP), São Paulo, Brazil
| | - Russell Jago
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Susi Kriemler
- Epidemiology, Biostatistics and Public Health Institute, University of Zürich, Switzerland
| | - Lars Bo Andersen
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences Campus Sogndal, Sogndal, Norway
| | - Niels Wedderkopp
- Institute for Regional Health Research, University of Southern Denmark, DK-5000 Odense, Denmark; The Orthopedic Department, Hospital of Southwestern Jutland, DK-6700 Esbjerg, Denmark
| | - Kate Northstone
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Jo Salmon
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
| | - Esther M F van Sluijs
- MRC Epidemiology Unit and Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK.
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19
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Abstract
PURPOSE Children with cardiomyopathy are at risk of heart failure with reduced physical activity (PA) as a cardinal manifestation. Clinical assessment of PA in children is challenging due to the limited validity of subjective reports. The aim of the study was to compare accelerometery measurement with parental report and to identify factors associated with movement behavior (PA, sedentary time, steps per day). METHOD Fifteen patients with cardiomyopathy (mean, 9.7 years; 64% male) were asked to wear an Actigraph GT3X accelerometer in Edmonton, Canada. Demographics, clinical characteristics, parental-reported PA, and health-related quality of life data were also collected. RESULTS Participants engaged in a median of 38 minutes of moderate-vigorous PA per day with higher levels in boys versus girls (73.9 [25.03, 78.91] vs 4.13 [2.53, 37.67] minutes, P = .03). Children participating in recreational sports showed a higher level of moderate-vigorous PA (73.92 min/d) compared with those who did not participate (73.9 vs 22.7 min/d, P = .05), and positive family outlook on the child's health was associated with less sedentary time (P = .04). CONCLUSION Accelerometer measurement in children with cardiomyopathy is an achievable and more objective measure of PA compared with parental report alone and highlighted low levels of PA among these children.
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20
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Associations between physical activity, sedentary time and cardiovascular risk factors among Dutch children. PLoS One 2021; 16:e0256448. [PMID: 34449807 PMCID: PMC8396731 DOI: 10.1371/journal.pone.0256448] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 08/09/2021] [Indexed: 01/01/2023] Open
Abstract
Introduction Physical activity (PA) plays an important role in the prevention of cardiovascular diseases, especially in children. Previous studies which investigated the role of PA and sedentary time (ST) in cardiovascular disease used different measurements and found inconsistent results. The current study used recommended standardized measures and provides an overview of PA and ST among Dutch primary school children and their associations with cardiovascular risk factors. Methods 503 children (55% girls, mean age (± SD) 10 ± 1y) were included. PA (total PA, lightPA and moderate to vigorous PA (MVPA)) and ST were measured with the Actigraph GT3X accelerometer. PA in different domains was measured with the BAECKE questionnaire. Cardiovascular risk factors included BMI z-score, waist circumference, blood pressure (z-score) and estimated cardiorespiratory fitness (CRF) as measured with the 20 meter shuttle run test. Results Children spent 57 ± 20 min/day (8%) on MVPA and 42% of the children reached the MVPA guideline of 60 min/day. Total PA and MVPA (h/day) were negatively associated with BMI z-score (B = -0.452, p = 0.011) and waist circumference (B = -3.553, p = 0.011) and positively associated with CRF (B = 2.527, p = <0.001). ST was positively associated with BMI z-score (B = 0.108, p = 0.048) and waist circumference (B = 0.920, p = 0.033). No significant associations were found between total PA or PA intensities and blood pressure. Conclusion This study used standardized measures of PA and therefore created an accurate overview of PA, ST and their associations with cardiovascular risk factors. PA and ST were associated with BMI z-score, waist circumference and CRF. The findings emphasize the importance of promoting MVPA in children, but also highlight the potential benefits of reducing ST to improve cardiovascular risk factors. Trial registration ClinicalTrials.gov NCT03440580.
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21
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Aubert S, Brazo-Sayavera J, González SA, Janssen I, Manyanga T, Oyeyemi AL, Picard P, Sherar LB, Turner E, Tremblay MS. Global prevalence of physical activity for children and adolescents; inconsistencies, research gaps, and recommendations: a narrative review. Int J Behav Nutr Phys Act 2021; 18:81. [PMID: 34187486 PMCID: PMC8243483 DOI: 10.1186/s12966-021-01155-2] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 06/09/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND One of the strategic actions identified in the Global Action Plan on Physical Activity (PA) 2018-2030 is the enhancement of data systems and capabilities at national levels to support regular population surveillance of PA. Although national and international standardized surveillance of PA among children and adolescents has increased in recent years, challenges for the global surveillance of PA persist. The aims of this paper were to: (i) review, compare, and discuss the methodological inconsistencies in children and adolescents' physical activity prevalence estimates from intercontinental physical activity surveillance initiatives; (ii) identify methodological limitations, surveillance and research gaps. METHODS Intercontinental physical activity surveillance initiatives for children and adolescents were identified by experts and through non-systematic literature searches. Prevalence of meeting PA guidelines by country, gender, and age were extracted when available. A tool was created to assess the quality of the included initiatives. Methods and PA prevalence were compared across data/studies and against the methodological/validity/translation differences. RESULTS Eight intercontinental initiatives were identified as meeting the selection criteria. Methods and PA definition inconsistencies across and within included initiatives were observed, resulting in different estimated national prevalence of PA, and initiatives contradicting each other's cross-country comparisons. Three findings were consistent across all eight initiatives: insufficient level of PA of children and adolescents across the world; lower levels of PA among girls; and attenuation of PA levels with age. Resource-limited countries, younger children, children and adolescents not attending school, with disability or chronic conditions, and from rural areas were generally under/not represented. CONCLUSIONS There are substantial inconsistencies across/within included initiatives, resulting in varying estimates of the PA situation of children and adolescents at the global, regional and national levels. The development of a new PA measurement instrument that would be globally accepted and harmonized is a global health priority to help improve the accuracy and reliability of global surveillance.
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Affiliation(s)
- Salomé Aubert
- Healthy Active Living and Obesity Research Group, CHEO Research Institute, Ottawa, Ontario Canada
| | - Javier Brazo-Sayavera
- PDU EFISAL, Centro Universitario Regional Noreste, Universidad de la República, Rivera, Uruguay
- Department of Sports and Computer Science, Universidad Pablo de Olavide (UPO), ES-41013 Seville, Spain
| | - Silvia A. González
- Healthy Active Living and Obesity Research Group, CHEO Research Institute, Ottawa, Ontario Canada
| | - Ian Janssen
- School of Kinesiology and Health Studies, and Department of Public Health Sciences, Queen’s University, Kingston, Ontario Canada
| | - Taru Manyanga
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario Canada
| | - Adewale L. Oyeyemi
- Department of Physiotherapy, College of Medical Sciences, University of Maiduguri, Maiduguri, Nigeria
| | - Patrick Picard
- Healthy Active Living and Obesity Research Group, CHEO Research Institute, Ottawa, Ontario Canada
| | - Lauren B. Sherar
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Evan Turner
- Centre for Global Child Health and SickKids Research Institute, The Hospital for Sick Children, Toronto, Ontario Canada
| | - Mark S. Tremblay
- Healthy Active Living and Obesity Research Group, CHEO Research Institute, Ottawa, Ontario Canada
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22
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Ku JP, Sim I. Mobile Health: making the leap to research and clinics. NPJ Digit Med 2021; 4:83. [PMID: 33990671 PMCID: PMC8121913 DOI: 10.1038/s41746-021-00454-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 07/22/2020] [Indexed: 11/09/2022] Open
Abstract
Health applications for mobile and wearable devices continue to experience tremendous growth both in the commercial and research sectors, but their impact on healthcare has yet to be fully realized. This commentary introduces three articles in a special issue that provides guidance on how to successfully address translational barriers to bringing mobile health technologies into clinical research and care. We also discuss how the cross-organizational sharing of data, software, and other digital resources can lower such barriers and accelerate progress across mobile health.
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Affiliation(s)
- Joy P Ku
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
| | - Ida Sim
- Division of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA
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23
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Stand Out in Class: Investigating the Potential Impact of a Sit-Stand Desk Intervention on Children's Sitting and Physical Activity during Class Time and after School. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18094759. [PMID: 33946984 PMCID: PMC8125156 DOI: 10.3390/ijerph18094759] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 04/27/2021] [Accepted: 04/27/2021] [Indexed: 12/18/2022]
Abstract
Sedentary behaviour (sitting) is a risk factor for adverse health outcomes. The classroom environment has traditionally been associated with prolonged periods of sitting in children. The aim of this study was to examine the potential impact of an environmental intervention, the addition of sit–stand desks in the classroom, on school children’s sitting and physical activity during class time and after school. The ‘Stand Out in Class’ pilot trial was a two-arm cluster randomised controlled trial conducted in eight primary schools with children from a mixed socioeconomic background. The 4.5 month environmental intervention modified the physical (six sit–stand desks replaced standard desks) and social (e.g., teachers’ support) environment. All children wore activPAL and ActiGraph accelerometers for 7 days at baseline and follow-up. In total 176 children (mean age = 9.3 years) took part in the trial. At baseline, control and intervention groups spent more than 65% of class time sitting, this changed to 71.7% and 59.1% at follow-up, respectively (group effect p < 0.001). The proportion of class time spent standing and stepping, along with the proportion of time in light activity increased in the intervention group and decreased in the control group. There was no evidence of any compensatory effects from the intervention after school. Incorporating sit–stand desks to change the classroom environment at primary school appears to be an acceptable strategy for reducing children’s sedentary behaviour and increasing light activity especially during class time. Trial registration: ISRCTN12915848 (registered: 09/11/16).
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24
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Brazendale K, Beets MW, Armstrong B, Weaver RG, Hunt ET, Pate RR, Brusseau TA, Bohnert AM, Olds T, Tassitano RM, Tenorio MCM, Garcia J, Andersen LB, Davey R, Hallal PC, Jago R, Kolle E, Kriemler S, Kristensen PL, Kwon S, Puder JJ, Salmon J, Sardinha LB, van Sluijs EMF. Children's moderate-to-vigorous physical activity on weekdays versus weekend days: a multi-country analysis. Int J Behav Nutr Phys Act 2021; 18:28. [PMID: 33568183 PMCID: PMC7877033 DOI: 10.1186/s12966-021-01095-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 01/29/2021] [Indexed: 12/20/2022] Open
Abstract
Purpose The Structured Days Hypothesis (SDH) posits that children’s behaviors associated with obesity – such as physical activity – are more favorable on days that contain more ‘structure’ (i.e., a pre-planned, segmented, and adult-supervised environment) such as school weekdays, compared to days with less structure, such as weekend days. The purpose of this study was to compare children’s moderate-to-vigorous physical activity (MVPA) levels on weekdays versus weekend days using a large, multi-country, accelerometer-measured physical activity dataset. Methods Data were received from the International Children’s Accelerometer Database (ICAD) July 2019. The ICAD inclusion criteria for a valid day of wear, only non-intervention data (e.g., baseline intervention data), children with at least 1 weekday and 1 weekend day, and ICAD studies with data collected exclusively during school months, were included for analyses. Mixed effects models accounting for the nested nature of the data (i.e., days within children) assessed MVPA minutes per day (min/day MVPA) differences between weekdays and weekend days by region/country, adjusted for age, sex, and total wear time. Separate meta-analytical models explored differences by age and country/region for sex and child weight-status. Results/findings Valid data from 15 studies representing 5794 children (61% female, 10.7 ± 2.1 yrs., 24% with overweight/obesity) and 35,263 days of valid accelerometer data from 5 distinct countries/regions were used. Boys and girls accumulated 12.6 min/day (95% CI: 9.0, 16.2) and 9.4 min/day (95% CI: 7.2, 11.6) more MVPA on weekdays versus weekend days, respectively. Children from mainland Europe had the largest differences (17.1 min/day more MVPA on weekdays versus weekend days, 95% CI: 15.3, 19.0) compared to the other countries/regions. Children who were classified as overweight/obese or normal weight/underweight accumulated 9.5 min/day (95% CI: 6.9, 12.2) and 10.9 min/day (95% CI: 8.3, 13.5) of additional MVPA on weekdays versus weekend days, respectively. Conclusions Children from multiple countries/regions accumulated significantly more MVPA on weekdays versus weekend days during school months. This finding aligns with the SDH and warrants future intervention studies to prioritize less-structured days, such as weekend days, and to consider providing opportunities for all children to access additional opportunities to be active.
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Affiliation(s)
- Keith Brazendale
- Department of Health Sciences, College of Health Professions and Sciences, University of Central Florida, 4364 Scorpius Street, Orlando, FL, 32816, USA.
| | - Michael W Beets
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Bridget Armstrong
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - R Glenn Weaver
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Ethan T Hunt
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Russell R Pate
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Timothy A Brusseau
- Department of Health & Kinesiology, College of Health, University of Utah, Salt Lake City, UT, USA
| | - Amy M Bohnert
- Department of Psychology, Loyola University Chicago, College of Arts and Sciences, Chicago, IL, USA
| | - Timothy Olds
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, Australia
| | - Rafael M Tassitano
- Department of Physical Education, Federal Rural University of Pernambuco, Recife, PE, Brazil
| | - Maria Cecilia M Tenorio
- Department of Physical Education, Federal Rural University of Pernambuco, Recife, PE, Brazil
| | - Jeanette Garcia
- Department of Health Sciences, College of Health Professions and Sciences, University of Central Florida, 4364 Scorpius Street, Orlando, FL, 32816, USA
| | - Lars B Andersen
- Department of Teacher Education and Sport, Western Norwegian University of Applied Sciences, Sogndal, Norway
| | - Rachel Davey
- Health Research Institute, University of Canberra, Canberra, Australia
| | - Pedro C Hallal
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Russell Jago
- Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK
| | - Elin Kolle
- Norwegian School of Sport Sciences, Oslo, Norway
| | - Susi Kriemler
- Epidemiology, Biostatistics and Prevention Institute, University of Zürich, Zürich, Switzerland
| | | | - Soyang Kwon
- Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, USA
| | - Jardena J Puder
- Service of Obstetrics, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland
| | - Jo Salmon
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, ZDeakin University, Geelong, Australia
| | - Luis B Sardinha
- Exercise and Health Laboratory, CIPER, Faculty of Human Movement, Universidade de Lisboa, Lisbon, Portugal
| | - Esther M F van Sluijs
- MRC Epidemiology Unit & Centre for Diet and Activity Research, University of Cambridge, Cambridge, UK
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25
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Stevens ML, Gupta N, Inan Eroglu E, Crowley PJ, Eroglu B, Bauman A, Granat M, Straker L, Palm P, Stenholm S, Aadahl M, Mork P, Chastin S, Rangul V, Hamer M, Koster A, Holtermann A, Stamatakis E. Thigh-worn accelerometry for measuring movement and posture across the 24-hour cycle: a scoping review and expert statement. BMJ Open Sport Exerc Med 2020; 6:e000874. [PMID: 33408875 PMCID: PMC7768971 DOI: 10.1136/bmjsem-2020-000874] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2020] [Indexed: 01/19/2023] Open
Abstract
Introduction The Prospective Physical Activity Sitting and Sleep consortium (ProPASS) is an international collaboration platform committed to harmonise thigh-worn accelerometry data. The aim of this paper is to (1) outline observational thigh-worn accelerometry studies and (2) summarise key strategic directions arising from the inaugural ProPASS meeting. Methods (1) We performed a systematic scoping review for observational studies of thigh-worn triaxial accelerometers in free-living adults (n≥100, 24 hours monitoring protocols). (2)Attendees of the inaugural ProPASS meeting were sent a survey focused on areas related to developing ProPASS: important terminology (Q1); accelerometry constructs (Q2); advantages and distinct contribution of the consortium (Q3); data pooling and harmonisation (Q4); data access and sharing (Q5 and Q6). Results (1) Eighty eligible articles were identified (22 primary studies; n~17 685). The accelerometers used most often were the ActivPAL3 and ActiGraph GT3X. The most commonly collected health outcomes were cardiometabolic and musculoskeletal. (2) None of the survey questions elicited the predefined 60% agreement. Survey responses recommended that ProPASS: use the term physical behaviour or movement behaviour rather than 'physical activity' for the data we are collecting (Q1); make only minor changes to ProPASS's accelerometry construct (Q2); prioritise developing standardised protocols/tools (Q4); facilitate flexible methods of data sharing and access (Q5 and Q6). Conclusions Thigh-worn accelerometry is an emerging method of capturing movement and posture across the 24 hours cycle. In 2020, the literature is limited to 22 primary studies from high-income western countries. This work identified ProPASS's strategic directions-indicating areas where ProPASS can most benefit the field of research: use of clear terminology, refinement of the measured construct, standardised protocols/tools and flexible data sharing.
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Affiliation(s)
- Matthew L Stevens
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Nidhi Gupta
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Elif Inan Eroglu
- Boden Collaboration for Obesity, Nutrition, Exercise & Eating Disorders, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Patrick Joseph Crowley
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Barbaros Eroglu
- School of Public Health, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Adrian Bauman
- School of Public Health, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Malcolm Granat
- School of Health and Society, University of Salford, Salford, UK.,PAL Technologies, Glasgow, UK
| | - Leon Straker
- School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia
| | - Peter Palm
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Sari Stenholm
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
| | - Mette Aadahl
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Paul Mork
- Department of Public Health and Nursing, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sebastien Chastin
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sport Sciences, Ghent University, Gent, Belgium
| | - Vegar Rangul
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine, Norwegian University of Science and Technology, Levanger, Norway
| | - Mark Hamer
- Institute Sport Exercise & Health, Faculty of Medical Sciences, University College London, London, UK
| | - Annemarie Koster
- Department of Social Medicine, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Andreas Holtermann
- Musculoskeletal Disorders and Physical Workload, National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Emmanuel Stamatakis
- School of Public Health, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
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26
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Bachner J, Sturm DJ, Demetriou Y. Accelerometer-Measured Physical Activity and Sedentary Behavior Levels and Patterns in Female Sixth Graders: The CReActivity Project. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 18:E32. [PMID: 33374568 PMCID: PMC7793121 DOI: 10.3390/ijerph18010032] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 12/16/2020] [Accepted: 12/21/2020] [Indexed: 01/19/2023]
Abstract
Regular physical activity (PA) and low levels of sedentary behavior (SB) have positive health effects on young people. Adolescent girls of low socioeconomic background represent a high-risk group with regard to physical inactivity and SB. In this study, accelerometer-measured levels of PA and SB of female sixth graders attending lower secondary schools in Germany are presented, patterns of PA and SB throughout the day are described and differences between weekdays and weekend days are analyzed. Data of 425 students of the CReActivity project were analyzed. Sampling and processing of accelerometer data followed recent recommendations, which had not been applied to data of a German-speaking sample before. The WHO recommendation of daily 60 min moderate-to-vigorous PA was fulfilled by 90.4% of the girls on weekdays and by 57.4% on weekend days. The significant weekday-weekend differences were mainly associated with active commuting to and from school. Students engaged in SB for more than 8 h on weekdays and for over 7 h on weekend days. The results suggest a strong need for interventions increasing PA and reducing SB, especially during school hours and on weekends. Furthermore, a comparison with methods and results of previous studies highlights the need to follow recent criteria in accelerometer data sampling and processing to ensure an accurate and valid differentiation between PA-related risk groups and non-risk groups.
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Affiliation(s)
- Joachim Bachner
- Department of Sport and Health Sciences, Technical University of Munich, 80992 Munich, Germany; (D.J.S.); (Y.D.)
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27
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Aadland E, Kvalheim OM, Hansen BH, Kriemler S, Ried-Larsen M, Wedderkopp N, Sardinha LB, Møller NC, Hallal PC, Anderssen SA, Northstone K, Andersen LB. The multivariate physical activity signature associated with metabolic health in children and youth: An International Children's Accelerometry Database (ICAD) analysis. Prev Med 2020; 141:106266. [PMID: 33022325 DOI: 10.1016/j.ypmed.2020.106266] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 08/24/2020] [Accepted: 09/21/2020] [Indexed: 12/21/2022]
Abstract
There is solid evidence for an association between physical activity and metabolic health outcomes in children and youth, but for methodological reasons most studies describe the intensity spectrum using only a few summary measures. We aimed to determine the multivariate physical activity intensity signature associated with metabolic health in a large and diverse sample of children and youth, by investigating the association pattern for the entire physical intensity spectrum. We used pooled data from 11 studies and 11,853 participants aged 5.8-18.4 years included in the International Children's Accelerometry Database. We derived 14 accelerometry-derived (ActiGraph) physical activity variables covering the intensity spectrum (from 0-99 to ≥8000 counts per minute). To handle the multicollinearity among these variables, we used multivariate pattern analysis to establish the associations with indices of metabolic health (abdominal fatness, insulin sensitivity, lipid metabolism, blood pressure). A composite metabolic health score was used as the main outcome variable. Associations with the composite metabolic health score were weak for sedentary time and light physical activity, but gradually strengthened with increasing time spent in moderate and vigorous intensities (up to 4000-5000 counts per minute). Association patterns were fairly consistent across sex and age groups, but varied across different metabolic health outcomes. This novel analytic approach suggests that vigorous intensity, rather than less intense activities or sedentary behavior, are related to metabolic health in children and youth.
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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.
| | | | - Bjørge Herman Hansen
- Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway.
| | - Susi Kriemler
- Epidemiology, Biostatistics and Prevention Institute, University of Zürich, Switzerland.
| | - Mathias Ried-Larsen
- Centre for Inflammation and Metabolism, Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark.
| | - Niels Wedderkopp
- Department of Regional Health Research, University of Southern Denmark, Denmark.
| | - Luis B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.
| | | | | | - Sigmund A Anderssen
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
| | - Kate Northstone
- School of Social and Community Medicine, University of Bristol, UK.
| | - Lars Bo Andersen
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway.
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Kuan MTY, Voss C, Lopez J, Hemphill NM, Harris KC. Children with congenital heart disease exhibit seasonal variation in physical activity. PLoS One 2020; 15:e0241187. [PMID: 33151936 PMCID: PMC7644044 DOI: 10.1371/journal.pone.0241187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 10/09/2020] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE We sought to identify seasonal variation in physical activity that different physical activity measurement tools can capture in children with congenital heart disease. METHODS Data were collected as part of a prospective cohort study at BC Children's Hospital, Vancouver, Canada. Daily step counts of children aged 9-16 years with moderate-to-severe CHD were assessed continuously for 1-year via a commercial activity tracker (Fitbit Charge 2™). Physical activity levels were also assessed conventionally at one time-point via accelerometers (ActiGraph) and physical activity questionnaires. RESULTS 156 children (mean age 12.7±2.4 years; 42% female) participated in the study. Fitbit data (n = 96) over a 1-year period clearly illustrated seasonal peaks (late spring and autumn) and dips (winter and summer school holidays) in physical activity levels, with group mean values being below 12,000 steps per day throughout the year. According to conventional accelerometry data (n = 142), 26% met guidelines, which tended to differ according to season of measurement (spring: 39%, summer: 11%, fall: 20%, winter: 39%; p-value = 0.053). Questionnaire data (n = 134) identified that the most widely reported activities were walking (81%) and running (78%) with walking being the highest in summer and fall and running in winter and spring. Furthermore, regardless of overall activity levels the children exhibit similar seasonal variation. CONCLUSIONS We demonstrated that physical activity level changes across seasons in children with CHD. It is important to be aware of these fluctuations when assessing and interpreting physical activity levels. Season specific counselling for physical activity may be beneficial in a clinical setting.
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Affiliation(s)
- Mimi T. Y. Kuan
- Children’s Heart Centre, BC Children’s Hospital, Vancouver, British Columbia, Canada
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christine Voss
- Children’s Heart Centre, BC Children’s Hospital, Vancouver, British Columbia, Canada
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jimmy Lopez
- Children’s Heart Centre, BC Children’s Hospital, Vancouver, British Columbia, Canada
| | - Nicole M. Hemphill
- Children’s Heart Centre, BC Children’s Hospital, Vancouver, British Columbia, Canada
| | - Kevin C. Harris
- Children’s Heart Centre, BC Children’s Hospital, Vancouver, British Columbia, Canada
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
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29
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Júdice PB, Hetherington-Rauth M, Northstone K, Andersen LB, Wedderkopp N, Ekelund U, Sardinha LB. Changes in Physical Activity and Sedentary Patterns on Cardiometabolic Outcomes in the Transition to Adolescence: International Children's Accelerometry Database 2.0. J Pediatr 2020; 225:166-173.e1. [PMID: 32553870 DOI: 10.1016/j.jpeds.2020.06.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 06/02/2020] [Accepted: 06/05/2020] [Indexed: 01/24/2023]
Abstract
OBJECTIVE To examine the associations of changes in physical activity and sedentary patterns with changes in cardiometabolic outcomes from childhood to adolescence. STUDY DESIGN Youth from the International Children's Accelerometry Database (n = 1088; 55% girls), aged 8-13 years and followed for ∼4 years, were used in this analysis. Hip-mounted accelerometers were used and all physical activity intensities were expressed as the % of total wear-time. Sedentary time was separated into time spent in bouts <10 minutes and ≥10 minutes. A composite z score for cardiometabolic risk (CMR score) was computed by summing the standardized values for systolic and diastolic blood pressure, triglycerides (TG), low-density lipoprotein cholesterol (LDL-c), and the inverse high-density lipoprotein cholesterol. Multivariate analyses were performed using adjusted linear regression models. RESULTS Increase in sedentary time was unfavorably associated with changes in CMR score (β = 0.021; CI 0.004-0.037), TG (β = 0.003; CI 0.001-0.005), and diastolic blood pressure (β = 0.068; CI 0.009-0.128). Decrease in moderate-to-vigorous physical activity was unfavorably associated with changes in LDL-c (β = -0.009; CI -0.017 to -0.001) and TG (β = -0.007; CI -0.013 to -0.001). Increase in ≥10 minutes sedentary time was unfavorably associated with changes in CMR score (β = 0.017; CI 0.004-0.030), LDL-c (β = 0.003; CI 0.000-0.005), and TG (β = 0.003; CI 0.000-0.004). Decrease in light-intensity physical activity was unfavorably associated with changes in CMR score (β = -0.020; CI = -0.040 to 0.000). CONCLUSIONS More physical activity and less prolonged sedentary time are beneficial for cardiometabolic health in youth transitioning to adolescence.
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Affiliation(s)
- Pedro B Júdice
- Exercise and Health Laboratory, Interdisciplinary Center for the Study of Human Performance, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada - Portugal, Portugal.
| | - Megan Hetherington-Rauth
- Exercise and Health Laboratory, Interdisciplinary Center for the Study of Human Performance, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada - Portugal, Portugal
| | - Kate Northstone
- Population Health Sciences, Bristol Medical School, Bristol, United Kingdom
| | - Lars Bo Andersen
- Faculty of Education, Arts and Sport, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Niels Wedderkopp
- Department of Regional Health Research, Centre of Research in Childhood Health, University of Southern Denmark, Odense, Denmark; Department of Orthopedics, University Hospital of Southwestern Jutland, Esbjerg, Denmark
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Luís B Sardinha
- Exercise and Health Laboratory, Interdisciplinary Center for the Study of Human Performance, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada - Portugal, Portugal
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30
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Clevenger KA, Pfeiffer KA, Montoye AHK. Cross-generational comparability of hip- and wrist-worn ActiGraph GT3X+, wGT3X-BT, and GT9X accelerometers during free-living in adults. J Sports Sci 2020; 38:2794-2802. [PMID: 32755446 DOI: 10.1080/02640414.2020.1801320] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
ActiGraph accelerometers are frequently used to characterize physical activity, but free-living cross-generational comparability of newer models has not been verified. Participants (N = 70) wore GT9X and wGT3X-BT accelerometers at the hip and a sub-sample (n = 54) wore GT9X and either wGT3X-BT or GT3X+ monitors at each wrist for 4 days. Vector magnitude (VM) counts, VM acceleration, Mean Amplitude Deviation (MAD), and Euclidean Norm Minus One (ENMO) were calculated (60-s epoch), and cut-points were used to determine percent of time spent in each intensity (sedentary/light, moderate, vigorous). Epoch-level correlation coefficients (r) were ≥0.73, and weighted kappa for intensity classifications ranged from 0.71 (ENMO, hip) to 0.98 (VM counts, non-dominant wrist). Monitors were equivalent for all outcomes, except ENMO (all locations/monitors), percent of time spent in sedentary/light (hip) and moderate (hip and non-dominant wrist) activity as classified by ENMO-based cut-points, and vigorous activity as classified by VM count cut-points (non-dominant wrist; p > 0.05). While epoch-level data were not identical, most outcomes were strongly related between models (e.g., MAD, VM) and equivalent once reduced to percent of time spent in each intensity. However, monitor output was not equivalent for the acceleration-based metric ENMO, suggesting that caution should be exercised when comparing this outcome among ActiGraph models.
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Affiliation(s)
| | - Karin A Pfeiffer
- Department of Kinesiology, Michigan State University , East Lansing, MI, USA
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31
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Beldo SK, Morseth B, Christoffersen T, Halvorsen PA, Hansen BH, Furberg AS, Ekelund U, Horsch A. Prevalence of accelerometer-measured physical activity in adolescents in Fit Futures - part of the Tromsø Study. BMC Public Health 2020; 20:1127. [PMID: 32680490 PMCID: PMC7368757 DOI: 10.1186/s12889-020-09171-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 06/26/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Previous studies show large variations in physical activity (PA) levels among adolescents. However, the number of studies is limited and even fewer studies have assessed PA in adolescents by accelerometer devices. This study aimed to describe accelerometer-measured PA levels in adolescents in a population-based cohort in Northern Norway. METHODS In 611 students aged 16-17 years attending the Fit Futures Study, PA was measured by Actigraph GT3X for seven consecutive days. PA was expressed as total PA volume (counts per minute, CPM), time spent in intensity zones, steps per day, and fulfilment of WHO recommendation (i.e. accumulation of 60 min or more of at least moderate intensity PA per day). Potential correlates of PA such as sex, socioeconomic status, study program, self-perceived health, and PA variations by weekday versus weekend were also examined. RESULTS 16% of the girls and 25% of the boys fulfilled current WHO-recommendations. Total PA volume (CPM) was higher in boys than in girls (353 (SD 130) versus 326 (SD 114) CPM, p < 0.05). PA levels differed with study program and increased with better self-perceived health, but were not associated with socioeconomic status. Both boys and girls were more active on weekdays than weekends (altogether; 350 (SD 124) versus 299 (SD 178) CPM, p < 0.05). CONCLUSIONS In this cohort of adolescents, less than 25% of 16-17-year-old boys and girls fulfilled the WHO recommendations. The levels of physical activity in 16-17-year-old adolescents are similar to previous data reported in adults.
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Affiliation(s)
- Sigurd K Beldo
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway. .,School of Sport Sciences, UiT The Arctic University of Norway, 9509 Alta, Tromsø, Norway.
| | - Bente Morseth
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.,School of Sport Sciences, UiT The Arctic University of Norway, 9509 Alta, Tromsø, Norway
| | - Tore Christoffersen
- Finnmark Hospital Trust, Alta, Norway.,Department of Health and Care Sciences, UiT The Arctic University of Tromsø, Tromsø, Norway
| | - Peder A Halvorsen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bjørge H Hansen
- Department of Public Health, Sport and Nutrition, University of Agder, Kristiansand, Norway
| | - Anne-Sofie Furberg
- Department of Microbiology and Infection Control, University Hospital of North Norway, Tromsø, Norway
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian school of sport sciences, Oslo, Norway.,Norwegian Institute for Public Health, Oslo, Norway
| | - Alexander Horsch
- Computer Science Department, UiT The Arctic University of Norway, Tromsø, Norway
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32
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Burchartz A, Manz K, Anedda B, Niessner C, Oriwol D, Schmidt SC, Woll A. Measurement of Physical Activity and Sedentary Behavior by Accelerometry Among a Nationwide Sample from the KiGGS and MoMo Study: Study Protocol. JMIR Res Protoc 2020; 9:e14370. [PMID: 32459648 PMCID: PMC7388053 DOI: 10.2196/14370] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 01/31/2020] [Accepted: 02/03/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Currently, no nationwide objective physical activity data exists for children and adolescents living in Germany. The German Health Interview and Examination Survey for Children and Adolescents (KiGGS) and the Motorik-Modul study (MoMo) is a national cohort study that has incorporated accelerometers in its most recent data collection wave (wave 2, since 2014). This wave 2 marks the first nationwide collection of objective data on the physical activity of children and adolescents living in Germany. OBJECTIVE The purpose of this protocol is to describe the methods used in the KiGGS and MoMo study to capture the intensity, frequency, and duration of physical activity with accelerometers. METHODS Participants (N=11,003, aged 6 to 31 years) were instructed to wear an ActiGraph GT3X+ or wGT3X-BT accelerometer laterally on the right hip. Accelerometers were worn on consecutive days during waking hours, including at least 4 valid weekdays and 1 weekend day (wear time >8 hours) in the evaluation. A nonwear time protocol was also implemented. RESULTS Data collection was completed by October 2017. Data harmonization took place in 2018. The first accelerometer results from this wave were published in 2019, and detailed analyses are ready to be submitted in 2020. CONCLUSIONS This study protocol provides an overview of technical details and basic choices when using accelerometers in large-scale epidemiological studies. At the same time, the restrictions imposed by the specified filters and the evaluation routines must be taken into account. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/14370.
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Affiliation(s)
- Alexander Burchartz
- Institute for Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | | | - Bastian Anedda
- Institute for Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Claudia Niessner
- Institute for Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Doris Oriwol
- Institute for Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Steffen Ce Schmidt
- Institute for Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Alexander Woll
- Institute for Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
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33
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Bernhardsen GP, Stensrud T, Hansen BH, Steene-Johannesen J, Kolle E, Nystad W, Anderssen SA, Hallal PC, Janz KF, Kriemler S, Andersen LB, Northstone K, Resaland GK, Sardinha LB, van Sluijs EMF, Ried-Larsen M, Ekelund U. Birth weight, cardiometabolic risk factors and effect modification of physical activity in children and adolescents: pooled data from 12 international studies. Int J Obes (Lond) 2020; 44:2052-2063. [PMID: 32494037 PMCID: PMC7508671 DOI: 10.1038/s41366-020-0612-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 05/20/2020] [Indexed: 01/06/2023]
Abstract
Objectives Low and high birth weight is associated with higher levels of cardiometabolic risk factors and adiposity in children and adolescents, and increases the risk of cardiovascular diseases, obesity, and early mortality later in life. Moderate-to-vigorous physical activity (MVPA) is associated with lower cardiometabolic risk factors and may mitigate the detrimental consequences of high or low birth weight. Thus, we examined whether MVPA modified the associations between birth weight and cardiometabolic risk factors in children and adolescents. Methods We used pooled individual data from 12 cohort- or cross-sectional studies including 9,100 children and adolescents. Birth weight was measured at birth or maternally reported retrospectively. Device-measured physical activity (PA) and cardiometabolic risk factors were measured in childhood or adolescence. We tested for associations between birth weight, MVPA, and cardiometabolic risk factors using multilevel linear regression, including study as a random factor. We tested for interaction between birth weight and MVPA by introducing the interaction term in the models (birth weight x MVPA). Results Most of the associations between birth weight (kg) and cardiometabolic risk factors were not modified by MVPA (min/day), except between birth weight and waist circumference (cm) in children (p = 0.005) and HDL-cholesterol (mmol/l) in adolescents (p = 0.040). Sensitivity analyses suggested that some of the associations were modified by VPA, i.e., the associations between birth weight and diastolic blood pressure (mmHg) in children (p = 0.009) and LDL- cholesterol (mmol/l) (p = 0.009) and triglycerides (mmol/l) in adolescents (p = 0.028). Conclusion MVPA appears not to consistently modify the associations between low birth weight and cardiometabolic risk. In contrast, MVPA may mitigate the association between higher birth weight and higher waist circumference in children. MVPA is consistently associated with a lower cardiometabolic risk across the birth weight spectrum. Optimal prenatal growth and subsequent PA are both important in relation to cardiometabolic health in children and adolescents.
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Affiliation(s)
| | - Trine Stensrud
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Bjørge Herman Hansen
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.,Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway
| | | | - Elin Kolle
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Wenche Nystad
- Chronic Diseases and Aging, Norwegian Institute of Public Health, Oslo, Norway
| | | | | | - Kathleen F Janz
- Department of Health and Human Physiology, University of Iowa, Iowa City, Iowa, USA
| | - Susi Kriemler
- Epidemiology, Biostatistics and Public Health Institute, University of Zürich, Zürich, Switzerland
| | - Lars Bo Andersen
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.,Department of Sport, Food and Natural Sciences, Campus Sogndal, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Kate Northstone
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Geir Kåre Resaland
- Center for Physically Active Learning, Faculty of Education, Arts and Sports, Campus Sogndal, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Luis B Sardinha
- Exercise and Health Laboratory, CIPER, Faculty of Human Kinetics, Universidade de Lisboa, Lisbon, Portugal
| | - Esther M F van Sluijs
- Centre for Diet and Activity Research (CEDAR) & MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Mathias Ried-Larsen
- Centre for Physical Activity Research, Rigshospitalet Copenhagen, Capital Region of Denmark, Copenhagen, Denmark
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
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van Ekris E, Wijndaele K, Altenburg TM, Atkin AJ, Twisk J, Andersen LB, Janz KF, Froberg K, Northstone K, Page AS, Sardinha LB, van Sluijs EMF, Chinapaw M. Tracking of total sedentary time and sedentary patterns in youth: a pooled analysis using the International Children's Accelerometry Database (ICAD). Int J Behav Nutr Phys Act 2020; 17:65. [PMID: 32423404 PMCID: PMC7236462 DOI: 10.1186/s12966-020-00960-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 04/24/2020] [Indexed: 11/15/2022] Open
Abstract
Background To gain more understanding of the potential health effects of sedentary time, knowledge is required about the accumulation and longitudinal development of young people’s sedentary time. This study examined tracking of young peoples’ total and prolonged sedentary time as well as their day-to-day variation using the International Children’s Accelerometry Database. Methods Longitudinal accelerometer data of 5991 children (aged 4-17y) was used from eight studies in five countries. Children were included if they provided valid (≥8 h/day) accelerometer data on ≥4 days, including ≥1 weekend day, at both baseline and follow-up (average follow-up: 2.7y; range 0.7–8.2). Tracking of total and prolonged (i.e. ≥10-min bouts) sedentary time was examined using multilevel modelling to adjust for clustering of observations, with baseline levels of sedentary time as predictor and follow-up levels as outcome. Standardized regression coefficients were interpreted as tracking coefficients (low: < 0.3; moderate: 0.3–0.6; high: > 0.6). Results Average total sedentary time at study level ranged from 246 to 387 min/day at baseline and increased annually by 21.4 min/day (95% confidence interval [19.6–23.0]) on average. This increase consisted almost entirely of prolonged sedentary time (20.9 min/day [19.2–22.7]). Total (standardized regression coefficient (B) = 0.48 [0.45–0.50]) and prolonged sedentary time (B = 0.43 [0.41–0.45]) tracked moderately. Tracking of day-to-day variation in total (B = 0.04 [0.02–0.07]) and prolonged (B = 0.07 [0.04–0.09]) sedentary time was low. Conclusion Young people with high levels of sedentary time are likely to remain among the people with highest sedentary time as they grow older. Day-to-day variation in total and prolonged sedentary time, however, was rather variable over time.
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Affiliation(s)
- Evi van Ekris
- Department of Public and Occupational Health, Amsterdam Public Health research institute, VU University Medical Center, van der Boechorststraat 7, 1081BT, Amsterdam, the Netherlands.
| | | | - Teatske M Altenburg
- Department of Public and Occupational Health, Amsterdam Public Health research institute, VU University Medical Center, van der Boechorststraat 7, 1081BT, Amsterdam, the Netherlands
| | - Andrew J Atkin
- Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.,School of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK
| | - Jos Twisk
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, the Netherlands
| | - Lars B Andersen
- Faculty of Teacher Education and Sport, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Kathleen F Janz
- Department of Health and Human Physiology, University of Iowa, Iowa City, USA
| | - Karsten Froberg
- Research of Childhood Health, University of Southern Denmark, Odense, Denmark
| | - Kate Northstone
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Angie S Page
- Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK.,NIHR Bristol Biomedical Research Centre, University Hospitals Bristol NHS FoundationTrust and University of Bristol, Bristol, UK
| | - Luis B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Esther M F van Sluijs
- Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Mai Chinapaw
- Department of Public and Occupational Health, Amsterdam Public Health research institute, VU University Medical Center, van der Boechorststraat 7, 1081BT, Amsterdam, the Netherlands
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35
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Leppänen MH, Migueles JH, Cadenas‐Sanchez C, Henriksson P, Mora‐Gonzalez J, Henriksson H, Labayen I, Löf M, Esteban‐Cornejo I, Ortega FB. Hip and wrist accelerometers showed consistent associations with fitness and fatness in children aged 8-12 years. Acta Paediatr 2020; 109:995-1003. [PMID: 31583747 DOI: 10.1111/apa.15043] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 08/14/2019] [Accepted: 10/01/2019] [Indexed: 12/23/2022]
Abstract
AIM Physical activity (PA) has traditionally been measured wearing accelerometers on the hip, but they are increasingly being worn on the wrist. We compared hip and wrist accelerometers with regard to their acceptability and any associations between PA and fatness and fitness. METHODS This cross-sectional study comprised 103 children aged 8-12 years (62% boys) who participated in the ActiveBrains trial by the University of Granada, Spain, in 2014-2016. The children wore both ActiGraph GT3X+ hip and wrist accelerometers round the clock for 7 days. The acceptability of both placements was evaluated by a questionnaire, while the children's fat mass index, waist circumference and cardiorespiratory fitness (CRF) were assessed. RESULTS Wearing wrist accelerometers caused less disturbance, mainly because hip accelerometers caused more issues during the night. The measurements from both placements showed that lower PA levels were associated with fatness and that higher PA levels were associated with better CRF. CONCLUSION Both placements showed consistent results with regard to measuring associations between PA levels and fatness and fitness. However, wearing them on the wrist caused less discomfort at night. Future studies are needed to confirm the best placement for accelerometers during PA studies.
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Affiliation(s)
- Marja H. Leppänen
- Faculty of Sport and Health Sciences University of Jyväskylä Jyväskylä Finland
- Department of Biosciences and Nutrition Karolinska Institutet Huddinge Sweden
| | - Jairo H. Migueles
- PROmoting FITness and Health through Physical Activity Research Group (PROFITH) Department of Physical and Sports Education Faculty of Sport Sciences University of Granada Granada Spain
| | - Cristina Cadenas‐Sanchez
- PROmoting FITness and Health through Physical Activity Research Group (PROFITH) Department of Physical and Sports Education Faculty of Sport Sciences University of Granada Granada Spain
| | - Pontus Henriksson
- Department of Biosciences and Nutrition Karolinska Institutet Huddinge Sweden
- Department of Medicine and Health Linköping University Linköping Sweden
| | - Jose Mora‐Gonzalez
- PROmoting FITness and Health through Physical Activity Research Group (PROFITH) Department of Physical and Sports Education Faculty of Sport Sciences University of Granada Granada Spain
| | - Hanna Henriksson
- Department of Medicine and Health Linköping University Linköping Sweden
| | - Idoia Labayen
- Institute for Innovation and Sustainable Development in Food Chain (IS‐FOOD) Public University of Navarra Pamplona Navarra Spain
| | - Marie Löf
- Department of Biosciences and Nutrition Karolinska Institutet Huddinge Sweden
- Department of Medicine and Health Linköping University Linköping Sweden
| | - Irene Esteban‐Cornejo
- PROmoting FITness and Health through Physical Activity Research Group (PROFITH) Department of Physical and Sports Education Faculty of Sport Sciences University of Granada Granada Spain
- Center for Cognitive and Brain Health Department of Psychology Northeastern University Boston MA USA
| | - Francisco B. Ortega
- PROmoting FITness and Health through Physical Activity Research Group (PROFITH) Department of Physical and Sports Education Faculty of Sport Sciences University of Granada Granada Spain
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Physical activity attenuates metabolic risk of adolescents with overweight or obesity: the ICAD multi-country study. Int J Obes (Lond) 2020; 44:823-829. [PMID: 31965071 DOI: 10.1038/s41366-020-0521-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 12/07/2019] [Accepted: 01/03/2020] [Indexed: 02/02/2023]
Abstract
BACKGROUND Although the benefits of physical activity (PA) at an early age are well established, there is no robust evidence of the role of PA as well as its intensities in attenuating the association between weight status and metabolic risk among adolescents. In this investigation, we analyzed the association between weight status, intensities of PA, and metabolic risk among adolescents. METHODS Data from six cross-sectional studies in the International Children's Accelerometry Database were used (N = 5216 adolescents; boys 14.6 ± 2.1 years and girls 14.7 ± 2.0 years). Weight status was assessed and classified according to body mass index. Fasting glucose, triglycerides, inverse high-density lipoprotein cholesterol, and blood pressure composed the metabolic risk indicator (z-score). PA was measured by accelerometers. The estimated age of peak height velocity was used as a covariate for somatic maturation. RESULTS We observed that increase in weight status showed a strong positive relationship with metabolic risk. However, adolescents with overweight or obesity in the highest tertile of PA (moderate-to-vigorous and vigorous intensity) showed a similar metabolic risk score as the normal weight groups. Moderate intensity PA seemed related to metabolic risk even within some categories of vigorous PA. CONCLUSIONS We conclude that PA attenuates the metabolic risk of adolescents with overweight or obesity. Although this attenuation is largely explained by vigorous PA, moderate intensity seems also important for better metabolic profile.
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Mandic S, Hopkins D, García Bengoechea E, Moore A, Sandretto S, Coppell K, Ergler C, Keall M, Rolleston A, Kidd G, Wilson G, Spence JC. Built environment changes and active transport to school among adolescents: BEATS Natural Experiment Study protocol. BMJ Open 2020; 10:e034899. [PMID: 32213522 PMCID: PMC7170613 DOI: 10.1136/bmjopen-2019-034899] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
INTRODUCTION Natural experiments are considered a priority for examining causal associations between the built environment (BE) and physical activity (PA) because the randomised controlled trial design is rarely feasible. Few natural experiments have examined the effects of walking and cycling infrastructure on PA and active transport in adults, and none have examined the effects of such changes on PA and active transport to school among adolescents. We conducted the Built Environment and Active Transport to School (BEATS) Study in Dunedin city, New Zealand, in 2014-2017. Since 2014, on-road and off-road cycling infrastructure construction has occurred in some Dunedin neighbourhoods, including the neighbourhoods of 6 out of 12 secondary schools. Pedestrian-related infrastructure changes began in 2018. As an extension of the BEATS Study, the BEATS Natural Experiment (BEATS-NE) (2019-2022) will examine the effects of BE changes on adolescents' active transport to school in Dunedin, New Zealand. METHODS AND ANALYSIS The BEATS-NE Study will employ contemporary ecological models for active transport that account for individual, social, environmental and policy factors. The published BEATS Study methodology (surveys, accelerometers, mapping, Geographic Information Science analysis and focus groups) and novel methods (environmental scan of school neighbourhoods and participatory mapping) will be used. A core component continues to be the community-based participatory approach with the sustained involvement of key stakeholders to generate locally relevant data, and facilitate knowledge translation into evidence-based policy and planning. ETHICS AND DISSEMINATION The BEATS-NE Study has been approved by the University of Otago Ethics Committee (reference: 17/188). The results will be disseminated through scientific publications and symposia, and reports and presentations to stakeholders. TRIAL REGISTRATION NUMBER ACTRN12619001335189.
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Affiliation(s)
- Sandra Mandic
- Active Living Laboratory, School of Physical Education, Sport and Exercise Sciences, University of Otago, Dunedin, New Zealand
- Centre for Sustainability, University of Otago, Dunedin, New Zealand
| | - Debbie Hopkins
- Transport Study Unit, School of Geography and the Environment, University of Oxford, Oxford, Oxfordshire, UK
| | - Enrique García Bengoechea
- Health Research Institute, Department of Physical Education and Sport Sciences, Faculty of Education and Health Sciences, University of Limerick, Limerick, Ireland
| | - Antoni Moore
- School of Surveying, University of Otago, Dunedin, New Zealand
| | - Susan Sandretto
- College of Education, University of Otago, Dunedin, New Zealand
| | - Kirsten Coppell
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | | | - Michael Keall
- Department of Public Health, University of Otago, Wellington, New Zealand
| | - Anna Rolleston
- Faculty of Health, Sport and Human Performance, University of Waikato, Hamilton, Waikato, New Zealand
| | - Gavin Kidd
- Dunedin Secondary Schools' Partnership, Dunedin, New Zealand
| | - Gordon Wilson
- Dunedin Secondary Schools' Partnership, Dunedin, New Zealand
| | - John C Spence
- Faculty of Kinesiology, Sport and Recreation, University of Alberta, Alberta, Edmonton, Canada
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Steene-Johannessen J, Hansen BH, Dalene KE, Kolle E, Northstone K, Møller NC, Grøntved A, Wedderkopp N, Kriemler S, Page AS, Puder JJ, Reilly JJ, Sardinha LB, van Sluijs EMF, Andersen LB, van der Ploeg H, Ahrens W, Flexeder C, Standl M, Shculz H, Moreno LA, De Henauw S, Michels N, Cardon G, Ortega FB, Ruiz J, Aznar S, Fogelholm M, Decelis A, Olesen LG, Hjorth MF, Santos R, Vale S, Christiansen LB, Jago R, Basterfield L, Owen CG, Nightingale CM, Eiben G, Polito A, Lauria F, Vanhelst J, Hadjigeorgiou C, Konstabel K, Molnár D, Sprengeler O, Manios Y, Harro J, Kafatos A, Anderssen SA, Ekelund U. Variations in accelerometry measured physical activity and sedentary time across Europe - harmonized analyses of 47,497 children and adolescents. Int J Behav Nutr Phys Act 2020; 17:38. [PMID: 32183834 PMCID: PMC7079516 DOI: 10.1186/s12966-020-00930-x] [Citation(s) in RCA: 163] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 02/12/2020] [Indexed: 12/24/2022] Open
Abstract
Background Levels of physical activity and variation in physical activity and sedentary time by place and person in European children and adolescents are largely unknown. The objective of the study was to assess the variations in objectively measured physical activity and sedentary time in children and adolescents across Europe. Methods Six databases were systematically searched to identify pan-European and national data sets on physical activity and sedentary time assessed by the same accelerometer in children (2 to 9.9 years) and adolescents (≥10 to 18 years). We harmonized individual-level data by reprocessing hip-worn raw accelerometer data files from 30 different studies conducted between 1997 and 2014, representing 47,497 individuals (2–18 years) from 18 different European countries. Results Overall, a maximum of 29% (95% CI: 25, 33) of children and 29% (95% CI: 25, 32) of adolescents were categorized as sufficiently physically active. We observed substantial country- and region-specific differences in physical activity and sedentary time, with lower physical activity levels and prevalence estimates in Southern European countries. Boys were more active and less sedentary in all age-categories. The onset of age-related lowering or leveling-off of physical activity and increase in sedentary time seems to become apparent at around 6 to 7 years of age. Conclusions Two third of European children and adolescents are not sufficiently active. Our findings suggest substantial gender-, country- and region-specific differences in physical activity. These results should encourage policymakers, governments, and local and national stakeholders to take action to facilitate an increase in the physical activity levels of young people across Europe.
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Affiliation(s)
- Jostein Steene-Johannessen
- Department of Sports Medicine, Norwegian School of Sport Sciences, PO Box 4014, Ullevål Stadion, 0806, Oslo, Norway.
| | - Bjørge Herman Hansen
- Department of Sports Medicine, Norwegian School of Sport Sciences, PO Box 4014, Ullevål Stadion, 0806, Oslo, Norway
| | - Knut Eirik Dalene
- Department of Sports Medicine, Norwegian School of Sport Sciences, PO Box 4014, Ullevål Stadion, 0806, Oslo, Norway
| | - Elin Kolle
- Department of Sports Medicine, Norwegian School of Sport Sciences, PO Box 4014, Ullevål Stadion, 0806, Oslo, Norway
| | - Kate Northstone
- Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Niels Christian Møller
- Research Unit for Exercise Epidemiology and Centre of Research in Childhood Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Anders Grøntved
- Research Unit for Exercise Epidemiology and Centre of Research in Childhood Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Niels Wedderkopp
- Research Unit for Exercise Epidemiology and Centre of Research in Childhood Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Susi Kriemler
- Epidemiology, Biostatistcs and Prevention Institute, University Zürich, Zürich, Switzerland
| | - Angie S Page
- Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK
| | - Jardena J Puder
- Obstetric service, Lausanne University Hospital, Lausanne, Switzerland
| | - John J Reilly
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, Scotland
| | - Luis B Sardinha
- Portugal, Exercise and Health Laboratory, Faculty of Human Kinetics, Universidade de Lisboa, Lisbon, Portugal
| | - Esther M F van Sluijs
- Centre for Diet and Activity Research (CEDAR) & MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Lars Bo Andersen
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Hidde van der Ploeg
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, Netherlands
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Claudia Flexeder
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - Marie Standl
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - Holger Shculz
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - Luis A Moreno
- GENUD research group, Facultad de Ciencias de la Salud, Universidad de Zaragoza, Insituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Zaragoza, Spain
| | - Stefaan De Henauw
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Nathalie Michels
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Greet Cardon
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | | | - Jonatan Ruiz
- School of Sport Sciences, University of Granada, Granada, Spain
| | - Susana Aznar
- PAFS Research group, Faculty of Sports Sciences, UCLM, Ciudad Real, Spain
| | - Mikael Fogelholm
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Andrew Decelis
- Institute for Physical Education and Sport, University of Malta, Msida, Malta
| | - Line Grønholt Olesen
- Research Unit for Exercise Epidemiology and Centre of Research in Childhood Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Mads Fiil Hjorth
- Department of Nutrition, Exercise and Sports Unit for obesity research Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Rute Santos
- Faculty of Sport, University of Porto, Porto, Portugal
| | - Susana Vale
- Department of Sport Science, High School of Education, Polytechnic Institute of Porto, Porto, Portugal
| | - Lars Breum Christiansen
- Research Unit for Exercise Epidemiology and Centre of Research in Childhood Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Russ Jago
- Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK
| | - Laura Basterfield
- Institute of Health & Society and Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne, UK
| | - Christopher G Owen
- Population Health Research Institute, St George's, University of London, London, UK
| | - Claire M Nightingale
- Population Health Research Institute, St George's, University of London, London, UK
| | - Gabriele Eiben
- Department of Biomedicine and Public Health, School of Health and Education, University of Skövde, Skövde, Sweden
| | - Angela Polito
- CREA Research Centre for Food and Nutrition, Rome, Italy
| | - Fabio Lauria
- National Research Council, Institute of Food Sciences, Avellino, Italy
| | - Jeremy Vanhelst
- Inserm, CHU Lille,U995 - LIRIC - Lille Inflammation Research International Center, CIC 1403 - Clinical Investigation Centre, University of Lille, F-59000, Lille, France
| | | | - Kenn Konstabel
- National Institute for Health Development, Tervise Arengu Instituut, Tallin, Estonia
| | - Dénes Molnár
- University of Pecs, Medical Faculty, Pécs, Hungary
| | - Ole Sprengeler
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Yannis Manios
- Department of Nutrition & Dietetics, Harokopio University, Athens, Greece
| | - Jaanus Harro
- Department of Psychology, Estonian Centre of Behavioural and Health Sciences, University of Tartu, Tartu, Estonia
| | | | - Sigmund Alfred Anderssen
- Department of Sports Medicine, Norwegian School of Sport Sciences, PO Box 4014, Ullevål Stadion, 0806, Oslo, Norway
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, PO Box 4014, Ullevål Stadion, 0806, Oslo, Norway
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Lang JJ, Phillips EW, Hoffmann MD, Prince SA. Reply to Discussion of "Establishing modified Canadian Aerobic Fitness Test (mCAFT) cut-points to detect clustered cardiometabolic risk among Canadian children and youth aged 9 to 17 years" - The need for foundational fitness research in Canada: is there room for innovation? Appl Physiol Nutr Metab 2020; 45:346-347. [PMID: 32122183 DOI: 10.1139/apnm-2019-0626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Justin J Lang
- Centre for Surveillance and Applied Research, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of Canada, 785 Carling Avenue, Ottawa, ON K1A 9K9, Canada.,Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, 401 Smyth Road, Ottawa, ON K1H 8L1, Canada
| | - Emily Wolfe Phillips
- Centre for Surveillance and Applied Research, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of Canada, 785 Carling Avenue, Ottawa, ON K1A 9K9, Canada
| | - Matt D Hoffmann
- Centre for Surveillance and Applied Research, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of Canada, 785 Carling Avenue, Ottawa, ON K1A 9K9, Canada
| | - Stephanie A Prince
- Centre for Surveillance and Applied Research, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of Canada, 785 Carling Avenue, Ottawa, ON K1A 9K9, Canada.,Division of Cardiac Prevention and Rehabilitation, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON K1Y 4W7, Canada
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40
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Szabo-Reed AN, Washburn RA, Greene JL, Ptomey LT, Gorczyca A, Lee RH, Little TD, Lee J, Honas J, Donnelly JE. Physical activity across the curriculum (PAAC3): Testing the application of technology delivered classroom physical activity breaks. Contemp Clin Trials 2020; 90:105952. [PMID: 32006633 PMCID: PMC7076720 DOI: 10.1016/j.cct.2020.105952] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/21/2020] [Accepted: 01/27/2020] [Indexed: 01/28/2023]
Abstract
Only 43% of children in the U.S., ages 6-11 yrs., meet current physical activity (PA) guidelines. To satisfy the MVPA requirement, schools have begun incorporating MVPA in the form of activity breaks or MVPA academic lessons. We completed two, 3 academic-yr. cluster randomized trials (DK61489, DK85317) called "Physical Activity Across the Curriculum" (PAAC) which involved increasing MVPA in the classroom. Across 3-yrs. teachers in PAAC schools delivered ~60 min/wk. (12 min/day) of MVPA. Although short of our MVPA goal (20 min/d), the PAAC approach substantially increased in-school MVPA. Teacher reluctance to devote additional time to develop and integrate PA lessons into their curriculum was the overwhelming barrier to meeting the MVPA goal. Therefore, to reduce barriers to delivery of classroom PA we developed a 3-academic yr. cluster randomized trial (2 yrs. active intervention, 1 yr. follow-up) to compare the effectiveness and sustainability of technology delivered (PAAC-R) and classroom teacher delivered (PAAC-T) activity breaks for increasing classroom MVPA in elementary school students in grades 2 and 3 at baseline who will progress to grades 4-5. NCT registration: NCT03493139.
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Affiliation(s)
- Amanda N Szabo-Reed
- Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA.
| | - Richard A Washburn
- Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA.
| | - J Leon Greene
- Department of Health, Sport, and Exercise Sciences, University of Kansas, Lawrence, KS 66045, USA.
| | - Lauren T Ptomey
- Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA.
| | - Anna Gorczyca
- Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA
| | - Robert H Lee
- Department of Health Policy and Management, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA.
| | - Todd D Little
- Department of Educational Psychology and Leadership, Texas Tech University, 2500 Broadway Street, Lubbock, TX 79409, USA.
| | - Jaehoon Lee
- Department of Educational Psychology and Leadership, Texas Tech University, 2500 Broadway Street, Lubbock, TX 79409, USA.
| | - Jeff Honas
- Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA.
| | - Joseph E Donnelly
- Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA.
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Renninger M, Hansen BH, Steene-Johannessen J, Kriemler S, Froberg K, Northstone K, Sardinha L, Anderssen SA, Andersen LB, Ekelund U. Associations between accelerometry measured physical activity and sedentary time and the metabolic syndrome: A meta-analysis of more than 6000 children and adolescents. Pediatr Obes 2020; 15:e12578. [PMID: 31709781 PMCID: PMC7003500 DOI: 10.1111/ijpo.12578] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 08/13/2019] [Accepted: 08/24/2019] [Indexed: 01/20/2023]
Abstract
BACKGROUND Metabolic syndrome is increasingly prevalent in the pediatric population. To prevent an early onset, knowledge about its association with modifiable lifestyle factors is needed. OBJECTIVES To estimate the prevalence of the metabolic syndrome and examine its cross-sectional associations with physical activity and sedentary time. METHODS Participants were 6009 children and adolescents from 8 studies of the International Children's Accelerometry Database. Physical activity and sedentary time were measured by accelerometer. Metabolic syndrome was defined based on International Diabetes Federation criteria. Logistic regression models adjusted for sex, age and monitor wear time were used to examine the associations between physical activity, sedentary time and the metabolic syndrome in each study and effect estimates were combined using random-effects meta-analysis. RESULTS The overall prevalence of the metabolic syndrome was 2.9%. In crude models, a 10 min increase in moderate-to-vigorous intensity physical activity and vigorous-intensity physical activity were inversely associated with the metabolic syndrome [OR 0.88, 95% CI 0.82-0.94, OR 0.80, 95% CI 0.70-0.92]. One hour increase in sedentary time was positively associated with the metabolic syndrome [OR 1.28, 95% CI 1.13-1.45]. After adjustment for sedentary time, the association between moderate-to-vigorous-intensity physical activity and the metabolic syndrome remained significant [OR 0.91, 95% CI 0.84-0.99]. Sedentary time was not associated with the metabolic syndrome after adjustment for moderate-to-vigorous intensity physical activity [OR 1.14 95% CI 0.96-1.36]. CONCLUSIONS Physical activity of at least moderate intensity but not sedentary time is independently associated with the metabolic syndrome.
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Affiliation(s)
- Marius Renninger
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Medical Informatics, Biometry and Epidemiology (IBE), Ludwig-Maximilians-Universität München, Munich, Germany
| | - Bjørge H Hansen
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | | | - Susi Kriemler
- Epidemiology, Biostatistics and Public Health Institute, University of Zürich, Zurich, Switzerland
| | - Karsten Froberg
- Center of Research in Childhood Health (RICH), University of Southern Denmark, Odense, Denmark
| | - Kate Northstone
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Luis Sardinha
- Exercise and Health Laboratory, CIPER, Fac Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Sigmund A Anderssen
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Lars B Andersen
- Faculty of Education, Arts and Sport, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Norwegian Institute for Public Health, Oslo, Norway
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Moura BP, Rufino RL, Faria RC, Amorim PRS. Effects of isotemporal substitution of sedentary behavior with light-intensity or moderate-to-vigorous physical activity on cardiometabolic markers in male adolescents. PLoS One 2019; 14:e0225856. [PMID: 31770423 PMCID: PMC6879145 DOI: 10.1371/journal.pone.0225856] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 11/13/2019] [Indexed: 12/13/2022] Open
Abstract
Increasing prevalence of sedentary behavior (SB) combined with low levels of physical activity (PA) in children and adolescents has become a growing public health concern. Therefore, this study aimed to identify the daily behavioral pattern of adolescents and examine the isotemporal substitution effects of SB with light-intensity PA (LIPA) or moderate-to-vigorous PA (MVPA) on cardiometabolic markers. In this cross-sectional study, the daily behavioral pattern of Brazilian male adolescents was objectively measured for 7 days. Vector magnitude activity counts were used to estimate SB, LIPA, and MVPA with cut-points specifically validated for youth. The isotemporal substitution model was used to assess the effects of replacing different SB bouts (5, 10, 30, and 60 min) with LIPA or MVPA on cardiometabolic markers [body mass index, waist circumference, body fat percentage (BF%), total cholesterol, high-density lipoprotein cholesterol (HDL-C), non-HDL-C, low-density lipoprotein cholesterol, triglyceride (TG), glucose, insulin, homeostatic model assessment of insulin resistance (HOMA2-IR), insulin sensitivity (HOMA2-S), beta cell function (HOMA2-β), systolic-blood pressure (SBP), diastolic-blood pressure, and cardiometabolic risk score]. Male adolescents (n = 84; age, 16.7 ± 0.9 years) wore the GT3X+ for 6.7 ± 0.6 days, during 15.2 ± 2.3 h, and spent 72.9% of the time in SB, 17.3% in LIPA, and 9.8% in MVPA. SB replacement with LIPA was associated with increased HDL-C, TG, HOMA2-IR, and HOMA2-S and decreased SBP. In contrast, SB replacement with MVPA was associated with decreased BF%. Therefore, our findings suggest that replacing SB with LIPA showed positive results on HDL-C, HOMA2-S and SBP, while replacing SB with MVPA was associated with only one obesity indicator (BF%). Moreover, participants met the daily MVPA recommendations, but they still had a daily behavioral pattern with high SB. In this context, LIPAs can be considered an effective alternative to reduce SB and improve the health indicators of this population.
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Affiliation(s)
- Bruno P Moura
- Medical Science Graduate Program, Medical Sciences Faculty, Rio de Janeiro State University, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rogério L Rufino
- Medical Science Graduate Program, Medical Sciences Faculty, Rio de Janeiro State University, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ricardo C Faria
- Department of Physical Education, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil
| | - Paulo Roberto S Amorim
- Department of Physical Education, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil
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Wijndaele K, White T, Andersen LB, Bugge A, Kolle E, Northstone K, Wedderkopp N, Ried-Larsen M, Kriemler S, Page AS, Puder JJ, Reilly JJ, Sardinha LB, van Sluijs EMF, Sharp SJ, Brage S, Ekelund U. Substituting prolonged sedentary time and cardiovascular risk in children and youth: a meta-analysis within the International Children's Accelerometry database (ICAD). Int J Behav Nutr Phys Act 2019; 16:96. [PMID: 31672163 PMCID: PMC6822444 DOI: 10.1186/s12966-019-0858-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 10/09/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Evidence on the association between sitting for extended periods (i.e. prolonged sedentary time (PST)) and cardio-metabolic health is inconsistent in children. We aimed to estimate the differences in cardio-metabolic health associated with substituting PST with non-prolonged sedentary time (non-PST), light (LIPA) or moderate-to-vigorous physical activity (MVPA) in children. METHODS Cross-sectional data from 14 studies (7 countries) in the International Children's Accelerometry Database (ICAD, 1998-2009) was included. Accelerometry in 19,502 participants aged 3-18 years, together with covariate and outcome data, was pooled and harmonized. Iso-temporal substitution in linear regression models provided beta coefficients (95%CI) for substitution of 1 h/day PST (sedentary time accumulated in bouts > 15 min) with non-PST, LIPA or MVPA, for each study, which were meta-analysed. RESULTS Modelling substitution of 1 h/day of PST with non-PST suggested reductions in standardized BMI, but estimates were > 7-fold greater for substitution with MVPA (- 0.44 (- 0.62; - 0.26) SD units). Only reallocation by MVPA was beneficial for waist circumference (- 3.07 (- 4.47; - 1.68) cm), systolic blood pressure (- 1.53 (- 2.42; - 0.65) mmHg) and clustered cardio-metabolic risk (- 0.18 (- 0.3; - 0.1) SD units). For HDL-cholesterol and diastolic blood pressure, substitution with LIPA was beneficial; however, substitution with MVPA showed 5-fold stronger effect estimates (HDL-cholesterol: 0.05 (0.01; 0.10) mmol/l); diastolic blood pressure: - 0.81 (- 1.38; - 0.24) mmHg). CONCLUSIONS Replacement of PST with MVPA may be the preferred scenario for behaviour change, given beneficial associations with a wide range of cardio-metabolic risk factors (including adiposity, HDL-cholesterol, blood pressure and clustered cardio-metabolic risk). Effect estimates are clinically relevant (e.g. an estimated reduction in waist circumference of ≈1.5 cm for 30 min/day replacement). Replacement with LIPA could be beneficial for some of these risk factors, however with substantially lower effect estimates.
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Affiliation(s)
- Katrien Wijndaele
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Box 285, Addenbrooke's Hospital Hills Road Cambridge, Cambridge, CB2 0QQ, UK.
| | - Thomas White
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Box 285, Addenbrooke's Hospital Hills Road Cambridge, Cambridge, CB2 0QQ, UK
| | - Lars Bo Andersen
- Faculty of Teacher Education and Sport, Campus Sogndal, Western Norway University of Applied Sciences, Bergen, Norway
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Anna Bugge
- Centre for Research in Childhood Health, Exercise Epidemiology Unit, Department of Sport Sciences and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Physiotherapy, University College Copenhagen, Copenhagen, Denmark
| | - Elin Kolle
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | | | - Niels Wedderkopp
- Faculty of Teacher Education and Sport, Campus Sogndal, Western Norway University of Applied Sciences, Bergen, Norway
- Centre for Research in Childhood Health, Exercise Epidemiology Unit, Department of Sport Sciences and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Mathias Ried-Larsen
- Faculty of Teacher Education and Sport, Campus Sogndal, Western Norway University of Applied Sciences, Bergen, Norway
- Centre for Research in Childhood Health, Exercise Epidemiology Unit, Department of Sport Sciences and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Susi Kriemler
- Institute of Social and Preventive Medicine, University of Zurich, Zürich, Switzerland
| | - Angie S Page
- Centre for Exercise, Nutrition and health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | | | - John J Reilly
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, Scotland
| | - Luis B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Esther M F van Sluijs
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Box 285, Addenbrooke's Hospital Hills Road Cambridge, Cambridge, CB2 0QQ, UK
- UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK
| | - Stephen J Sharp
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Box 285, Addenbrooke's Hospital Hills Road Cambridge, Cambridge, CB2 0QQ, UK
| | - Søren Brage
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Box 285, Addenbrooke's Hospital Hills Road Cambridge, Cambridge, CB2 0QQ, UK
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
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44
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Associations between meeting the Canadian 24-Hour Movement Guidelines for the Early Years and behavioral and emotional problems among 3-year-olds. J Sci Med Sport 2019; 22:797-802. [DOI: 10.1016/j.jsams.2019.01.003] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 12/20/2018] [Accepted: 01/06/2019] [Indexed: 11/23/2022]
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Dias KI, White J, Jago R, Cardon G, Davey R, Janz KF, Pate RR, Puder JJ, Reilly JJ, Kipping R. International Comparison of the Levels and Potential Correlates of Objectively Measured Sedentary Time and Physical Activity among Three-to-Four-Year-Old Children. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16111929. [PMID: 31159176 PMCID: PMC6603940 DOI: 10.3390/ijerph16111929] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 05/17/2019] [Accepted: 05/26/2019] [Indexed: 12/04/2022]
Abstract
Physical activity (PA) patterns track from childhood through to adulthood. The study aimed to determine the levels and correlates of sedentary time (ST), total PA (TPA), and moderate-to-vigorous PA (MVPA) in preschool-aged children. We conducted cross-sectional analyses of 1052 children aged three-to-four-years-old from six studies included in the International Children’s Accelerometry Database. Multilevel linear regression models adjusting for age, gender, season, minutes of wear time, and study clustering effects were used to estimate associations between age, gender, country, season, ethnicity, parental education, day of the week, time of sunrise, time of sunset, and hours of daylight and the daily minutes spent in ST, TPA, and MVPA. Across the UK, Switzerland, Belgium, and the USA, children in our analysis sample spent 490 min in ST per day and 30.0% and 21.2% of children did not engage in recommended daily TPA (≥180 min) and MVPA (≥60 min) guidelines. There was evidence for an association between all 10 potential correlates analyzed and at least one of the outcome variables; average daily minutes spent in ST, TPA and/or MVPA. These correlates can inform the design of public health interventions internationally to decrease ST and increase PA in preschoolers.
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Affiliation(s)
- Kaiseree I Dias
- Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Clifton, Bristol BS8 2BN, UK.
| | - James White
- Centre for Trials Research, School of Medicine, Cardiff University, 4th Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UK.
| | - Russell Jago
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, Bristol BS8 1TZ, UK.
| | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, 9000 Ghent, Belgium.
| | - Rachel Davey
- Centre for Research & Action in Public Health, Health Research Institute, University of Canberra, Canberra, ACT 2601, Australia.
| | - Kathleen F Janz
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA 52242, USA.
| | - Russell R Pate
- Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA.
| | - Jardena J Puder
- Obstetric service, Department Woman-Mother-Child, Lausanne University Hospital, 1005 Lausanne, Switzerland.
| | - John J Reilly
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow G1 1QE, UK.
| | - Ruth Kipping
- Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Clifton, Bristol BS8 2BN, UK.
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46
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Lagestad P, Mikalsen H, Ingulfsvann LS, Lyngstad I, Sandvik C. Associations of Participation in Organized Sport and Self-Organized Physical Activity in Relation to Physical Activity Level Among Adolescents. Front Public Health 2019; 7:129. [PMID: 31179262 PMCID: PMC6543755 DOI: 10.3389/fpubh.2019.00129] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 05/08/2019] [Indexed: 11/13/2022] Open
Abstract
Although physical activity level (PAL) is positively correlated with adolescents' health, many adolescents do not fulfill recommendations for physical activity. This study examines the associations of organized sport and self-organized physical activity, with PAL among adolescents. Participants were 301 adolescents (12-13 year-olds). The adolescents wore accelerometers for 1 week according to international standards, and reported their participation in organized sport and self-organized physical activity in a questionnaire. The results showed that the level of participation in organized sport was positively associated with the adolescents' total PAL, while there was no significant association between time spent in self-organized physical activity and adolescents' daily minutes of moderate and vigorous physical activity. In addition, boys who participated <3 h per week (or not at all) in organized sport stood out with the lowest fulfillment of recommended PAL. Our findings underline the critical importance of getting adolescents, especially boys, to participate in organized sport and not to drop out from organized sport during adolescence.
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Affiliation(s)
- Pål Lagestad
- Faculty of Teacher Education and Arts, Nord University, Levanger, Norway
| | - Hilde Mikalsen
- Faculty of Teacher Education and Arts, Nord University, Levanger, Norway
| | | | - Idar Lyngstad
- Faculty of Teacher Education and Arts, Nord University, Levanger, Norway
| | - Camilla Sandvik
- Faculty of Teacher Education and Arts, Nord University, Levanger, Norway
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47
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Chesham RA, Booth JN, Sweeney EL, Ryde GC, Gorely T, Brooks NE, Moran CN. Response to Daly-Smith et al.'s commentary on 'The Daily Mile makes primary school children more active, less sedentary and improves their fitness and body composition: a quasi-experimental pilot study'. BMC Med 2019; 17:97. [PMID: 31113425 PMCID: PMC6530000 DOI: 10.1186/s12916-019-1336-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 04/29/2019] [Indexed: 12/14/2022] Open
Abstract
We thank Daly-Smith et al. for taking the time to read the results of our pilot research study, describing it as an important and welcome contribution. Nonetheless, the authors argue six points against our conclusion. We contend that we addressed three of these points in our original discussion and disagree with their remaining points. Overall, their Commentary adds little to the topic of research into the Daily Mile™ that we had not already raised in our discussion. Additionally, they attribute statements to us that we did not make and ignore the raising of key issues in our original article. Given this, we stand by our original peer-reviewed conclusion that introducing the Daily Mile™ to the primary school day appears to be an effective intervention for increasing levels of moderate to vigorous physical activity, reducing sedentary time, increasing physical fitness and improving body composition, and that these findings have relevance for teachers, policy-makers, public health practitioners and health researchers.
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Affiliation(s)
- Ross A Chesham
- Faculty of Health Sciences and Sport, University of Stirling, Scotland, FK9 4LA, UK
| | - Josephine N Booth
- Institute of Education, Community and Society, Moray House School of Education, University of Edinburgh, Scotland, EH8 8AQ, UK
| | - Emma L Sweeney
- Faculty of Health Sciences and Sport, University of Stirling, Scotland, FK9 4LA, UK
| | - Gemma C Ryde
- Faculty of Health Sciences and Sport, University of Stirling, Scotland, FK9 4LA, UK
| | - Trish Gorely
- Centre for Health Sciences, School of Health, Social Care and Life Sciences, University of the Highlands and Islands, Old Perth Road, Inverness, IV2 3JH, UK
| | - Naomi E Brooks
- Faculty of Health Sciences and Sport, University of Stirling, Scotland, FK9 4LA, UK
| | - Colin N Moran
- Faculty of Health Sciences and Sport, University of Stirling, Scotland, FK9 4LA, UK.
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48
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Stamatakis E, Koster A, Hamer M, Rangul V, Lee IM, Bauman AE, Atkin AJ, Aadahl M, Matthews CE, Mork PJ, Askie L, Cistulli P, Granat M, Palm P, Crowley PJ, Stevens M, Gupta N, Pulakka A, Stenholm S, Arvidsson D, Mishra G, Wennberg P, Chastin S, Ekelund U, Holtermann A. Emerging collaborative research platforms for the next generation of physical activity, sleep and exercise medicine guidelines: the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS). Br J Sports Med 2019; 54:435-437. [PMID: 31076396 PMCID: PMC7146929 DOI: 10.1136/bjsports-2019-100786] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 04/06/2019] [Accepted: 04/09/2019] [Indexed: 01/22/2023]
Affiliation(s)
- Emmanuel Stamatakis
- Prevention Research Collaboration, Charles Perkins Centre, Faculty of Medicine and Health, School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Annemarie Koster
- Department of Social Medicine, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, Limburg, The Netherlands
| | - Mark Hamer
- Department of Epidemiology and Public Health, University College London, London, UK.,School of Sport Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Vegar Rangul
- Department of Public Health and Nursing, HUNT Research Centre, Norwegian University of Science and Technology, Trondheim, Norway
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Harvard University, Cambridge, Massachusetts, USA
| | - Adrian E Bauman
- Prevention Research Collaboration, Charles Perkins Centre, Faculty of Medicine and Health, School of Public Health, University of Sydney, Sydney, New South Wales, Australia.,Faculty of Kinesiology, University of Zagreb, Zagreb, Croatia
| | - Andrew J Atkin
- Faculty of Medicine and Health Sciences, School of Health Sciences, University of East Anglia, Norwich, UK
| | - Mette Aadahl
- Research Centre for Prevention and Health, Copenhagen, Denmark
| | - Charles E Matthews
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Paul Jarle Mork
- Department of Public Health and Nursing, The Norwegian University of Science and Technology, Trondheim, Norway
| | - Lisa Askie
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Peter Cistulli
- Sleep Research Group, Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Malcolm Granat
- School of Health Sciences, University of Salford, Salford, UK
| | - Peter Palm
- Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala Universitet, Uppsala, Sweden
| | | | - Matthew Stevens
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Nidhi Gupta
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Anna Pulakka
- Department of Public Health, University of Turku, Turku, Finland
| | - Sari Stenholm
- Department of Public Health, University of Turku, Turku, Finland
| | - Daniel Arvidsson
- Department of Food and Nutrition and Sport Science, Centre for Health and Performance, University of Gothenburg, Gothenburg, Sweden
| | - Gita Mishra
- School of Public Health, University of Queensland, Brisbane, Queensland, Australia
| | - Patrik Wennberg
- Family Medicine, Department of Public Health and Clinical Medicine, Umea University, Umea, Sweden
| | - Sebastien Chastin
- School of Health and Life Science, Institute for Applied Health Research, Glasgow Caledonian University, Glasgow, UK.,Department of Movement and Sports Sciences, Universiteit Gent, Gent, Belgium
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Andreas Holtermann
- National Research Centre for the Working Environment, Copenhagen, Denmark
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49
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Kwon S, Andersen LB, Grøntved A, Kolle E, Cardon G, Davey R, Kriemler S, Northstone K, Page AS, Puder JJ, Reilly JJ, Sardinha LB, van Sluijs EMF, Janz KF. A closer look at the relationship among accelerometer-based physical activity metrics: ICAD pooled data. Int J Behav Nutr Phys Act 2019; 16:40. [PMID: 31036032 PMCID: PMC6489360 DOI: 10.1186/s12966-019-0801-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 04/17/2019] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Accelerometers are widely used to assess child physical activity (PA) levels. Using the accelerometer data, several PA metrics can be estimated. Knowledge about the relationships between these different metrics can improve our understanding of children's PA behavioral patterns. It also has significant implications for comparing PA metrics across studies and fitting a statistical model to examine their health effects. The aim of this study was to examine the relationships among the metrics derived from accelerometers in children. METHODS Accelerometer data from 24,316 children aged 5 to 18 years were extracted from the International Children's Accelerometer Database (ICAD) 2.0. Correlation coefficients between wear time, sedentary behavior (SB), light-intensity PA (LPA), moderate-intensity PA (MPA), vigorous-intensity PA (VPA), moderate- and vigorous-intensity PA (MVPA), and total activity counts (TAC) were calculated. RESULTS TAC was approximately 22X103 counts higher (p < 0.01) with longer wear time (13 to 18 h/day) as compared to shorter wear time (8 to < 13 h/day), while MVPA was similar across the wear time categories. MVPA was very highly correlated with TAC (r = .91; 99% CI = .91 to .91). Wear time-adjusted correlation between SB and LPA was also very high (r = -.96; 99% CI = -.96, - 95). VPA was moderately correlated with MPA (r = .58; 99% CI = .57, .59). CONCLUSIONS TAC is mostly explained by MVPA, while it could be more dependent on wear time, compared to MVPA. MVPA appears to be comparable across different wear durations and studies when wear time is ≥8 h/day. Due to the moderate to high correlation between some PA metrics, potential collinearity should be addressed when including multiple PA metrics together in statistical modeling.
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Affiliation(s)
- Soyang Kwon
- Ann & Robert H. Lurie Children’s Hospital of Chicago Stanley Manne Children’s Research Institute, 225 E Chicago Ave, Box 157, Chicago, IL 60611 USA
| | - Lars Bo Andersen
- Faculty of Education, Arts and Sport, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Anders Grøntved
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Elin Kolle
- Norway, Norwegian School of Sport Science, Oslo, Norway
| | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, 9000 Ghent, Belgium
| | - Rachel Davey
- Centre for Research & Action in Public Health Health Research Institute, University of Canberra, Canberra, Australia
| | - Susi Kriemler
- Epidemiology, Biostatistics and Prevention Institute, University of Zürich, Zürich, Switzerland
| | | | - Angie S. Page
- Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK
| | - Jardena J. Puder
- Obstetric service, Lausanne University Hospital, Lausanne, Switzerland
| | - John J. Reilly
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Luis B. Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz-Quebrada, Portugal
| | - Esther M. F. van Sluijs
- Centre for Diet and Activity Research (CEDAR) & MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Kathleen F. Janz
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA USA
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50
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Sahlqvist S, Veitch J, Abbott G, Salmon J, Garrard J, Acker F, Hartman K, Timperio A. Impact of an Australian state-wide active travel campaign targeting primary schools. Prev Med Rep 2019; 14:100866. [PMID: 31011519 PMCID: PMC6462773 DOI: 10.1016/j.pmedr.2019.100866] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 03/12/2019] [Accepted: 04/03/2019] [Indexed: 12/05/2022] Open
Abstract
Active travel can have health and environmental benefits. This study evaluated the impact of a month-long (October 2015) campaign encouraging primary school children in Victoria, Australia to engage in active school travel. With support from local councils, schools participated in the campaign by monitoring active school travel and delivering promotional activities. A longitudinal study evaluated campaign impact. Carers (n = 715) of Victorian primary school children were recruited via social media and completed online surveys at baseline (T1; 0 wk) and during (T2; +2 wks) and after the campaign (T3; +6 wks). Carers reported their child's travel behaviour over the last five school days, and whether their child and/or their child's school participated in the campaign. Separate generalised linear models were used for T2 and T3 outcomes adjusting for T1 values and potential confounders. A greater proportion of children who participated in the campaign engaged in any active school travel at T2 (OR = 2.49, 95% CI = 1.63, 3.79) and T3 (1.62, 95% CI = 1.06, 2.46) compared with non-participating children. Similarly, these children had a higher frequency of active school travel at T2 (IRR = 1.60, 95% CI = 1.29, 1.97) and T3 (IRR = 1.45, 95% CI = 1.16, 1.80). Campaign participation resulted in small, short-term increases in active school travel. A controlled trial evaluated a state-wide campaign to promote school active travel. Carers reported school active travel at baseline and after the four-week campaign. A greater proportion of participating children engaged in school active travel. Campaign impact did not differ by key individual and area-level indicators. However, campaign impact did differ by sex and distance to school.
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Affiliation(s)
- Shannon Sahlqvist
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Geelong, Australia
| | - Jenny Veitch
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Geelong, Australia
| | - Gavin Abbott
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Geelong, Australia
| | - Jo Salmon
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Geelong, Australia
| | - Jan Garrard
- Deakin University, School of Health and Social Development, Geelong, Australia
| | - Felix Acker
- The Victorian Health Promotion Foundation (VicHealth), 15-31 Pelham St, Carlton, Melbourne, Victoria, Australia
| | - Kellye Hartman
- The Victorian Health Promotion Foundation (VicHealth), 15-31 Pelham St, Carlton, Melbourne, Victoria, Australia
| | - Anna Timperio
- Deakin University, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Geelong, Australia
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