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This study examined differences in physical activity and physical self‐concept between the least and most biologically mature female adolescents within chronological age and academic year groups. A total of 252 British female adolescents (M age = 12.9 years; SD = .7) in Years 7–9 completed self‐report measures to assess physical activity and physical self‐concept. Percentage of predicted adult (mature) stature served as the index of biological maturation. Univariate analyses of covariance, controlling for decimal age, revealed that the least mature girls generally held higher perceptions of physical self‐concept but were no more, or less, active than the most mature girls. A subsequent meta‐analysis suggested, however, that across age and year groups the least mature girls were more active than the most mature girls.

Accepted author manuscript version reprinted, by permission, from Journal of physical activity & health, 15(S2), pp. S347 - S349, https://doi.org/10.1123/jpah.2018-0537 © Human Kinetics, Inc. ; The Active Healthy Kids England 2018 Report Card provides an updated "state of the nation" resource regarding performances on the provision of, and support for, physical activity opportunities for children and young people. Specifically, in this paper we present and discuss key findings from the 2018 Report Card, a release that serves to revise our 2014 and 2016 report cards via the same systematic approach that incorporates best current data. To this end, these data include national surveys, peer-review outputs, and a variety of nonacademic sources including online content and reports from government and nongovernment organizations.

Background: Regular physical activity improves physical and mental health, yet children's physical activity levels were low in England's 2014 Report Card. Within this paper, we update the 2014 Report Card to assess current information for the 9 indicators of physical activity. Methods: A search for nationally representative data on 9 indicators of physical activity was conducted and the data were assessed by an expert panel. The panel assigned grades [ie, A, B, C, D, F, or INC (incomplete)] to each indicator based on whether children across England were achieving specific benchmarks. The 2016 Report Card was produced and disseminated. Results: The following grades were awarded: Overall Physical Activity Levels: D-; Organized Sport Participation: D; Active Play: INC; Active Transportation: C-; Sedentary Behaviors: INC; Family and Peers: INC; School: B+; Community and the Built Environment: B; Government Strategies and Investment: INC. Conclusions: The grades have not improved since the 2014 Report Card and several gaps in the literature are still present. While children's physical activity levels remain low alongside competing sedentary choices, further national plans and investment with local actions are urgently needed to promote physical activity especially via active play, active transport, and family support.

Background: Regular physical activity improves physical and mental health, yet children's physical activity levels were low in England's 2014 Report Card. Within this paper, we update the 2014 Report Card to assess current information for the nine indicators of physical activity. Methods: A search for nationally representative data on nine indicators of physical activity was conducted and the data were assessed by an expert panel. The panel assigned grades (i.e. A, B, C, D, F, or INC (incomplete)) to each indicator based on whether children across England were achieving specific benchmarks. The 2016 Report Card was produced and disseminated. Results: The following grades were awarded: Overall Physical Activity Levels: D-; Organized Sport Participation: D; Active Play: INC; Active Transportation: C-; Sedentary Behaviours: INC; Family and Peers: INC; School: B+; Community and the Built Environment: B; Government Strategies and Investment: INC. Conclusions: The grades have not improved since the 2014 Report Card and several gaps in the literature are still present. While children's physical activity levels remain low alongside competing sedentary choices, further national plans and investment with local actions are urgently needed to promote physical activity especially via active play, active transport, and family support.

This article was published in the Journal of Physical Activity and Health [© Human Kinetics, Inc.] and the definitive version is available at: http://dx.doi.org/10.1123/jpah.2016-0298 ; Background: Regular physical activity improves physical and mental health, yet children's physical activity levels were low in England's 2014 Report Card. Within this paper, we update the 2014 Report Card to assess current information for the 9 indicators of physical activity. Methods: A search for nationally representative data on 9 indicators of physical activity was conducted and the data were assessed by an expert panel. The panel assigned grades [ie, A, B, C, D, F, or INC (incomplete)] to each indicator based on whether children across England were achieving specific benchmarks. The 2016 Report Card was produced and disseminated. Results: The following grades were awarded: Overall Physical Activity Levels: D-; Organized Sport Participation: D; Active Play: INC; Active Transportation: C-; Sedentary Behaviors: INC; Family and Peers: INC; School: B+; Community and the Built Environment: B; Government Strategies and Investment: INC. Conclusions: The grades have not improved since the 2014 Report Card and several gaps in the literature are still present. While children's physical activity levels remain low alongside competing sedentary choices, further national plans and investment with local actions are urgently needed to promote physical activity especially via active play, active transport, and family support.

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. ; The ICAD data pooling project and SPEEDY study for the collection of data were funded through grants from the National Prevention Research Initiative (Grant Numbers: G0501294; G0701877) (http://www.mrc.ac.uk/research/initiatives/national-prevention-research-initiative-npri/). The funding partners relevant to this award and role of the funding (i.e., data pooling and collection) are: British Heart Foundation; Cancer Research UK; Department of Health; Diabetes UK; Economic and Social Research Council; Medical Research Council; Research and Development Office for the Northern Ireland Health and Social Services; Chief Scientist Office; Scottish Executive Health Department; The Stroke Association; Welsh Assembly Government and World Cancer Research Fund. The UK Medical Research Council and Wellcome (Grant reference: 217065/Z/19/Z) and the University of Bristol provide core support for the ALSPAC study in the collection of data. The CLAN study was supported by grants from the Financial Markets Foundation for Children and the National Health and Medical Research Council (NHMRC, ID: 274309 and 374241) for the collection of data. This work was additionally supported by the Medical Research Council (Grant numbers: MC_UU_12015/3; MC_UU_12015/6; MC_UU_12015/7), the Research Council of Norway (249932/F20), Bristol University, Loughborough University and Norwegian School of Sport Sciences for the harmonisation of data in the ICAD project. EvS and EI are supported by the Medical Research Council (Grant number: MC_UU_00006/5) in the design of the study, analysis and interpretation of data, and in writing the manuscript. The funding sources had no role in the design of this study, neither during its execution, analyses, interpretation of the data, or decision to submit results.

This is an Open Access Article. It is published by Biomed Central under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/ ; © 2016 The Author(s).Background: Ecological models are currently the most used approaches to classify and conceptualise determinants of sedentary behaviour, but these approaches are limited in their ability to capture the complexity of and interplay between determinants. The aim of the project described here was to develop a transdisciplinary dynamic framework, grounded in a system-based approach, for research on determinants of sedentary behaviour across the life span and intervention and policy planning and evaluation. Methods: A comprehensive concept mapping approach was used to develop the Systems Of Sedentary behaviours (SOS) framework, involving four main phases: (1) preparation, (2) generation of statements, (3) structuring (sorting and ranking), and (4) analysis and interpretation. The first two phases were undertaken between December 2013 and February 2015 by the DEDIPAC KH team (DEterminants of DIet and Physical Activity Knowledge Hub). The last two phases were completed during a two-day consensus meeting in June 2015. Results: During the first phase, 550 factors regarding sedentary behaviour were listed across three age groups (i.e., youths, adults and older adults), which were reduced to a final list of 190 life course factors in phase 2 used during the consensus meeting. In total, 69 international delegates, seven invited experts and one concept mapping consultant attended the consensus meeting. The final framework obtained during that meeting consisted of six clusters of determinants: Physical Health and Wellbeing (71 % consensus), Social and Cultural Context (59 % consensus), Built and Natural Environment (65 % consensus), Psychology and Behaviour (80 % consensus), Politics and Economics (78 % consensus), and Institutional and Home Settings (78 % consensus). Conducting studies on Institutional Settings was ranked as the first research priority. The view that this framework captures a system-based map of determinants of sedentary behaviour was expressed by 89 % of the participants. Conclusion: Through an international transdisciplinary consensus process, the SOS framework was developed for the determinants of sedentary behaviour through the life course. Investigating the influence of Institutional and Home Settings was deemed to be the most important area of research to focus on at present and potentially the most modifiable. The SOS framework can be used as an important tool to prioritise future research and to develop policies to reduce sedentary time.

BACKGROUND: Birth weight is an early correlate of disease later in life, and animal studies suggest that low birth weight is associated with reduced activity and increased sedentary time. Whether birth weight predicts later sedentary time in humans is uncertain. OBJECTIVES: We examined the relation between birth weight and sedentary time in youth and examined whether this association was mediated by central adiposity. DESIGN: We used pooled cross-sectional data from 8 observational studies conducted between 1997 and 2007 that consisted of 10,793 youth (boys: 47%) aged 6-18 y from the International Children's Accelerometry Database. Birth weight was measured in hospitals or maternally reported, sedentary time was assessed by using accelerometry (<100 counts/min), and abdominal adiposity (waist circumference) was measured according to WHO procedures. A mediation analysis with bootstrapping was used to analyze data. RESULTS: The mean (±SD) time spent sedentary was 370 ± 91 min/d. Birth weight was positively associated with sedentary time (B = 4.04, P = 0.006) and waist circumference (B = 1.59, P < 0.001), whereas waist circumference was positively associated with sedentary time (B = 0.82, P < 0.001). Results of the mediation analysis showed a significant indirect effect of birth weight on sedentary time through waist circumference (B: 1.30; 95% bias-corrected CI: 0.94, 1.72), and when waist circumference was controlled for, the effect of birth weight on sedentary time was attenuated by 32% (B = 2.74, P = 0.06). CONCLUSION: The association between birth weight and sedentary time appears partially mediated by central adiposity, suggesting that both birth weight and abdominal adiposity may be correlates of sedentary time in youth. ; The pooling of data was funded through grant G0701877 from the United Kingdom National Prevention Research Initiative (http://www.mrc.ac.uk/ Ourresearch/Resourceservices/NPRI/index.htm). Funding partners relevant to this award are as follows: the British Heart Foundation, Cancer Research UK, the Department of Health, Diabetes UK, the Economic and Social Research Council, the Medical Research Council, the Research and Development Office for the Northern Ireland Health and Social Services, the Chief Scientist Office, the Scottish Executive Health Department, The Stroke Association, and the Welsh Assembly Government and World Cancer Research Fund. This work was further supported by the Medical Research Council [MC_UU_12015/4; MC_UU_12015/7], Bristol University, Loughborough University, and the Norwegian School of Sport Sciences. This is an open access article distributed under the CC-BY license (http://creativecommons. org/licenses/by/3.0/). ; This is the final published version. It first appeared at http://ajcn.nutrition.org/content/101/5/983.full#ack-1.

Background: Ecological models are currently the most used approaches to classify and conceptualise determinants of sedentary behaviour, but these approaches are limited in their ability to capture the complexity of and interplay between determinants. The aim of the project described here was to develop a transdisciplinary dynamic framework, grounded in a system-based approach, for research on determinants of sedentary behaviour across the life span and intervention and policy planning and evaluation. Methods: A comprehensive concept mapping approach was used to develop the Systems Of Sedentary behaviours (SOS) framework, involving four main phases: (1) preparation, (2) generation of statements, (3) structuring (sorting and ranking), and (4) analysis and interpretation. The first two phases were undertaken between December 2013 and February 2015 by the DEDIPAC KH team (DEterminants of DIet and Physical Activity Knowledge Hub). The last two phases were completed during a two-day consensus meeting in June 2015. Results: During the first phase, 550 factors regarding sedentary behaviour were listed across three age groups (i.e., youths, adults and older adults), which were reduced to a final list of 190 life course factors in phase 2 used during the consensus meeting. In total, 69 international delegates, seven invited experts and one concept mapping consultant attended the consensus meeting. The final framework obtained during that meeting consisted of six clusters of determinants: Physical Health and Wellbeing (71 % consensus), Social and Cultural Context (59 % consensus), Built and Natural Environment (65 % consensus), Psychology and Behaviour (80 % consensus), Politics and Economics (78 % consensus), and Institutional and Home Settings (78 % consensus). Conducting studies on Institutional Settings was ranked as the first research priority. The view that this framework captures a system-based map of determinants of sedentary behaviour was expressed by 89 % of the participants. Conclusion: Through an international transdisciplinary consensus process, the SOS framework was developed for the determinants of sedentary behaviour through the life course. Investigating the influence of Institutional and Home Settings was deemed to be the most important area of research to focus on at present and potentially the most modifiable. The SOS framework can be used as an important tool to prioritise future research and to develop policies to reduce sedentary time.