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      The relationship between living in urban and rural areas of Scotland and children’s physical activity and sedentary levels: a country-wide cross-sectional analysis

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          Abstract

          Background

          Living in urban or rural environments may influence children’s levels of physical activity and sedentary behaviours. We know little about variations in device-measured physical activity and sedentary levels of urban and rural children using nationally representative samples, or if these differences are moderated by socioeconomic factors or seasonal variation. Moreover, little is known about the influence of ‘walkability’ in the UK context. A greater understanding of these can better inform intervention strategies or policy initiatives at the population level.

          Methods

          Country-wide cross-sectional study in Scotland in which 774 children (427 girls, 357 boys), aged 10/11 years, wore an accelerometer on one occasion for at least four weekdays and one weekend day. Mean total physical activity, time spent in sedentary, light, and moderate-to-vigorous physical activity (MVPA), per day were extracted for weekdays, weekend days, and all days combined. Regression analyses explored associations between physical activity outcomes, urban/rural residence, and a modified walkability index (dwelling density and intersection density); with interactions fitted for household equivalised income and season of data collection. Sensitivity analyses assessed variation in findings by socioeconomic factors and urbanicity.

          Results

          Rural children spent an average of 14 min less sedentary (95% CI of difference: 2.23, 26.32) and 13 min more in light intensity activity (95% CI of difference, 2.81, 24.09) per day than those from urban settlements. No urban-rural differences were found for time spent in MVPA or in total levels of activity. Our walkability index was not associated with any outcome measure. We found no interactions with household equivalised income, but there were urban/rural differences in seasonal variation; urban children engaged in higher levels of MVPA in the spring months (difference: 10 mins, p = 0.06, n.s) and significantly lower levels in winter (difference: 8.7 mins, p = 0.036).

          Conclusions

          Extrapolated across one-year, rural children would accumulate approximately 79 h (or just over 3 days) less sedentary time than urban children, replacing this for light intensity activity. With both outcomes having known implications for health, this finding is particularly important. Future work should prioritise exploring the patterns and context in which these differences occur to allow for more targeted intervention/policy strategies.

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          Most cited references35

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          Do attributes in the physical environment influence children's physical activity? A review of the literature

          Background Many youth today are physically inactive. Recent attention linking the physical or built environment to physical activity in adults suggests an investigation into the relationship between the built environment and physical activity in children could guide appropriate intervention strategies. Method Thirty three quantitative studies that assessed associations between the physical environment (perceived or objectively measured) and physical activity among children (ages 3 to 18-years) and fulfilled selection criteria were reviewed. Findings were categorized and discussed according to three dimensions of the physical environment including recreational infrastructure, transport infrastructure, and local conditions. Results Results across the various studies showed that children's participation in physical activity is positively associated with publicly provided recreational infrastructure (access to recreational facilities and schools) and transport infrastructure (presence of sidewalks and controlled intersections, access to destinations and public transportation). At the same time, transport infrastructure (number of roads to cross and traffic density/speed) and local conditions (crime, area deprivation) are negatively associated with children's participation in physical activity. Conclusion Results highlight links between the physical environment and children's physical activity. Additional research using a transdisciplinary approach and assessing moderating and mediating variables is necessary to appropriately inform policy efforts.
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            Tracking of physical activity and physical fitness across the lifespan.

            Although different indicators of physical activity and different methods of analysis are used, it appears that physical activity tracks at low to moderate levels during adolescence, from adolescence into adulthood, and across various ages in adulthood. Tracking of inactivity is less often studied. Measures of performance- and health-related physical fitness (strength, flexibility, motor fitness, aerobic power) track significantly across childhood and adolescence, but correlations are low to moderate. Limited data that span adolescence into adulthood indicate somewhat higher interage correlations for flexibility, static strength, and power. Data for different periods in adulthood are not available. Presently, it is common to criticize focus on motor and sport skills in physical education and competitive sports as contrary to health and fitness goals (e.g., James, 1995; Livingstone, 1994; Simons-Morton et al., 1988). There is a need, however, to distinguish between youth or community sports and highly specialized sport for the elite. Sports activities, be they competitive or recreational, are probably the major form of physical activity during childhood and adolescence, and perhaps in young adulthood. Though low to moderate, the tracking of various activity indicators, most of which include sport participation, suggests that sport activities during childhood and youth may form the foundation for activity habits in the future.
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              Comparison of three generations of ActiGraph™ activity monitors in children and adolescents.

              In this study, we evaluated agreement among three generations of ActiGraph™ accelerometers in children and adolescents. Twenty-nine participants (mean age = 14.2 ± 3.0 years) completed two laboratory-based activity sessions, each lasting 60 min. During each session, participants concurrently wore three different models of the ActiGraph™ accelerometers (GT1M, GT3X, GT3X+). Agreement among the three models for vertical axis counts, vector magnitude counts, and time spent in moderate-to-vigorous physical exercise (MVPA) was evaluated by calculating intraclass correlation coefficients and Bland-Altman plots. The intraclass correlation coefficient for total vertical axis counts, total vector magnitude counts, and estimated MVPA was 0.994 (95% CI = 0.989-0.996), 0.981 (95% CI = 0.969-0.989), and 0.996 (95% CI = 0.989-0.998), respectively. Inter-monitor differences for total vertical axis and vector magnitude counts ranged from 0.3% to 1.5%, while inter-monitor differences for estimated MVPA were equal to or close to zero. On the basis of these findings, we conclude that there is strong agreement between the GT1M, GT3X, and GT3X+ activity monitors, thus making it acceptable for researchers and practitioners to use different ActiGraph™ models within a given study.
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                Author and article information

                Contributors
                paul.mccrorie@glasgow.ac.uk
                richard.mitchell@glasgow.ac.uk
                laura.macdonald@glasgow.ac.uk
                a.p.jones@uea.ac.uk
                emma.coombes@uea.ac.uk
                jschipperijn@health.sdu.dk
                anne.ellaway@glasgow.ac.uk
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                6 March 2020
                6 March 2020
                2020
                : 20
                : 304
                Affiliations
                [1 ]GRID grid.8756.c, ISNI 0000 0001 2193 314X, MRC/CSO Social and Public Health Sciences Unit, , University of Glasgow, ; Glasgow, Scotland
                [2 ]GRID grid.8273.e, ISNI 0000 0001 1092 7967, Norwich Medical School, , University of East Anglia, ; Norwich, UK
                [3 ]GRID grid.10825.3e, ISNI 0000 0001 0728 0170, Department of Sports Science and Clinical Biomechanics, , University of Southern Denmark, ; Odense, Denmark
                Author information
                http://orcid.org/0000-0001-6757-6926
                Article
                8311
                10.1186/s12889-020-8311-y
                7065337
                32156285
                4915f78b-4172-4e28-b663-b04467e143d4
                © The Author(s). 2020

                Open Access This 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
                : 28 February 2019
                : 31 January 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000589, Chief Scientist Office;
                Award ID: SPHSU10
                Award Recipient :
                Funded by: Medical Research Council
                Award ID: MC_UU_12017/10
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Public health
                physical activity,children and young people,season,income,urban and rural
                Public health
                physical activity, children and young people, season, income, urban and rural

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