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      Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data

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          Abstract

          Background

          Movement behaviours performed over a finite period such as a 24 h day are compositional data. Compositional data exist in a constrained simplex geometry that is incongruent with traditional multivariate analytical techniques. However, the expression of compositional data as log-ratio co-ordinate systems transfers them to the unconstrained real space, where standard multivariate statistics can be used. This study aimed to use a compositional data analysis approach to examine the adiposity and cardiorespiratory fitness predictions of time reallocations between children’s daily movement behaviours.

          Methods

          This study used cross-sectional data from the Active Schools: Skelmersdale study, which involved Year 5 children from a low-income community in northwest England ( n = 169). Measures included accelerometer-derived 24 h activity (sedentary time [ST], light physical activity [LPA], moderate-to-vigorous physical activity [MVPA], and sleep), cardiorespiratory fitness determined by the 20 m shuttle run test, objectively measured height, weight and waist circumference (from which zBMI and percent waist circumference-to-height ratio (%WHtR) were derived) and sociodemographic covariates. Log-ratio multiple linear regression models were used to predict adiposity and fitness for the mean movement behaviour composition, and for new compositions where fixed durations of time had been reallocated from one behaviour to another, while the remaining behaviours were unchanged. Predictions were also made for reallocations of fixed durations of time using the mean composition of three different weight status categories (underweight, normal-weight, and overweight/obese) as the starting point.

          Results

          Replacing MVPA with any other movement behaviour around the mean movement composition predicted higher adiposity and lower CRF. The log-ratio model predictions were asymmetrical: when time was reallocated to MVPA from sleep, ST, or LPA, the estimated detriments to fitness and adiposity were larger in magnitude than the estimated benefits of time reallocation from MVPA to sleep, ST or LPA. The greatest differences in fitness and fatness for reallocation of fixed duration of MVPA were predicted at the mean composition of overweight/obese children.

          Conclusions

          Findings reinforce the key role of MVPA for children’s health. Reallocating time from ST and LPA to MVPA in children is advocated in school, home, and community settings.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12966-017-0521-z) contains supplementary material, which is available to authorized users.

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          Most cited references53

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          Motor competence and health related physical fitness in youth: A systematic review.

          This study aimed to review the scientific evidence on associations between motor competence (MC) and components of health related physical fitness (HRPF), in children and adolescents.
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            What childhood obesity prevention programmes work? A systematic review and meta-analysis.

            Previous reviews of childhood obesity prevention have focused largely on schools and findings have been inconsistent. Funded by the US Agency for Healthcare Research and Quality (AHRQ) and the National Institutes of Health, we systematically evaluated the effectiveness of childhood obesity prevention programmes conducted in high-income countries and implemented in various settings. We searched MEDLINE®, Embase, PsycINFO, CINAHL®, ClinicalTrials.gov and the Cochrane Library from inception through 22 April 2013 for relevant studies, including randomized controlled trials, quasi-experimental studies and natural experiments, targeting diet, physical activity or both, and conducted in children aged 2-18 in high-income countries. Two reviewers independently abstracted the data. The strength of evidence (SOE) supporting interventions was graded for each study setting (e.g. home, school). Meta-analyses were performed on studies judged sufficiently similar and appropriate to pool using random effect models. This paper reported our findings on various adiposity-related outcomes. We identified 147 articles (139 intervention studies) of which 115 studies were primarily school based, although other settings could have been involved. Most were conducted in the United States and within the past decade. SOE was high for physical activity-only interventions delivered in schools with home involvement or combined diet-physical activity interventions delivered in schools with both home and community components. SOE was moderate for school-based interventions targeting either diet or physical activity, combined interventions delivered in schools with home or community components or combined interventions delivered in the community with a school component. SOE was low for combined interventions in childcare or home settings. Evidence was insufficient for other interventions. In conclusion, at least moderately strong evidence supports the effectiveness of school-based interventions for preventing childhood obesity. More research is needed to evaluate programmes in other settings or of other design types, especially environmental, policy and consumer health informatics-oriented interventions.
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              The associations between sedentary behaviour and mental health among adolescents: a systematic review

              Background With technological developments and modernised sedentary lifestyles has come an increase in diseases associated with inactivity such as obesity and other non-communicable diseases. Emerging evidence suggests that time spent sedentary may also interact with mental health. This systematic review examined the associations between sedentary behaviour and mental health problems among adolescents. Methods This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses, and applied a quality assessment tool for quantitative studies to identity best available evidence. Following stringent search strategy of the databases; Cumulative Index to Nursing and Allied Health Literature, Global Health, Health Source: Nursing and Academic Edition, MEDLINE, PsychARTICLES and PsycINFO, we identified 32 articles eligible for review. Results All studies reported leisure screen time among adolescents, and two thirds of identified studies examined depressive symptomatology. Other mental health measures were; anxiety symptoms, self-esteem, suicide ideation, loneliness, stress, and psychological distress. Strong consistent evidence was found for the relationship between both depressive symptomatology and psychological distress, and time spent using screens for leisure. Moderate evidence supported the relationship between low self-esteem and screen use. Poorer mental health status was found among adolescents using screen time more than 2–3 h per day, and gender differences exist. Essential information was missing for quality of evidence including heterogeneity in mental health and screen time-based measures, and self-report data collection methods. Conclusions The findings are of particular significance given the global public health concern of lifestyle-attributed diseases and the possibility for novel approaches to mental health. Future research should examine the psychological impact of reducing time spent using screens for leisure among adolescents, whilst accounting for possible confounding factors such as physical activity and dietary behaviours. It is critical that the reciprocal relationship between lifestyle behaviours and mental health is represented in both the psychiatric and public health forum. Electronic supplementary material The online version of this article (doi:10.1186/s12966-016-0432-4) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                00 44 1695 584143 , Stuart.Fairclough@edgehill.ac.uk
                dorothea.dumuid@mymail.unisa.edu.au
                sarah.taylor11@go.edgehill.ac.uk
                whitney.curry@edgehill.ac.uk
                bronagh.mcgrane@dcu.ie
                g.stratton@swansea.ac.uk
                Carol.Maher@unisa.edu.au
                Timothy.Olds@unisa.edu.au
                Journal
                Int J Behav Nutr Phys Act
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central (London )
                1479-5868
                10 May 2017
                10 May 2017
                2017
                : 14
                : 64
                Affiliations
                [1 ]ISNI 0000 0000 8794 7109, GRID grid.255434.1, Physical Activity and Health Research Group, Department of Sport and Physical Activity, , Edge Hill University, ; St Helens Road, Ormskirk, Lancashire UK
                [2 ]ISNI 0000 0004 1936 9692, GRID grid.10049.3c, Department of Physical Education and Sports Science, , University of Limerick, ; Limerick, Ireland
                [3 ]ISNI 0000 0000 8994 5086, GRID grid.1026.5, Alliance for Research in Exercise Nutrition and Activity (ARENA), Sansom Institute, School of Health Sciences, , University of South Australia, ; Adelaide, Australia
                [4 ]ISNI 0000000102380260, GRID grid.15596.3e, School of Arts Education and Movement, , Dublin City University, Institute of Education, ; St Patrick’s Campus, Dublin, Ireland
                [5 ]ISNI 0000 0001 0658 8800, GRID grid.4827.9, Research Centre in Applied Sports, Technology Exercise and Medicine, College of Engineering, , Swansea University, ; Swansea, Wales UK
                Article
                521
                10.1186/s12966-017-0521-z
                5424384
                28486972
                266fb7e7-09fe-4d9d-8d58-ba5373f73458
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 16 December 2016
                : 27 April 2017
                Funding
                Funded by: West Lancashire School Sport Partnership
                Funded by: West Lancashire Community Leisure
                Funded by: FundRef http://dx.doi.org/10.13039/100010009, Edge Hill University;
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Nutrition & Dietetics
                sedentary time,physical activity,accelerometer,lpa,mvpa,sleep
                Nutrition & Dietetics
                sedentary time, physical activity, accelerometer, lpa, mvpa, sleep

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