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      Proportion of preschool-aged children meeting the Canadian 24-Hour Movement Guidelines and associations with adiposity: results from the Canadian Health Measures Survey

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          Abstract

          Background

          New Canadian 24-Hour Movement Guidelines for the Early Years have been released in 2017. According to the guidelines, within a 24-h period, preschoolers should accumulate at least 180 min of physical activity (of which at least 60 min is moderate-to-vigorous physical activity), engage in no more than 1 h of screen time, and obtain between 10 and 13 h of sleep. This study examined the proportions of preschool-aged (3 to 4 years) Canadian children who met these new guidelines and different recommendations within the guidelines, and the associations with adiposity indicators.

          Methods

          Participants were 803 children (mean age: 3.5 years) from cycles 2–4 of the Canadian Health Measures Survey (CHMS), a nationally representative cross-sectional sample of Canadians. Physical activity was accelerometer-derived, and screen time and sleep duration were parent-reported. Participants were classified as meeting the overall 24-Hour Movement Guidelines if they met all three specific time recommendations for physical activity, screen time, and sleep. The adiposity indicators in this study were body mass index (BMI) z-scores and BMI status (World Health Organization Growth Standards).

          Results

          A total of 12.7% of preschool-aged children met the overall 24-Hour Movement Guidelines, and 3.3% met none of the three recommendations. A high proportion of children met the sleep duration (83.9%) and physical activity (61.8%) recommendations, while 24.4% met the screen time recommendation. No associations were found between meeting individual or combined recommendations and adiposity.

          Conclusions

          Very few preschool-aged children in Canada (~13%) met all three recommendations contained within the 24-Hour Movement Guidelines. None of the combinations of recommendations were associated with adiposity in this sample. Future work should focus on identifying innovative ways to reduce screen time in this population, and should examine the associations of guideline adherence with health indicators other than adiposity.

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          Most cited references11

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          Variance estimation for complex surveys using replication techniques

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            Factors related to objectively measured physical activity in preschool children.

            This study examined correlates of objectively measured physical activity (PA) in a diverse sample of preschool children (age 3-5 years; n = 331). Accelerometer min x hr-1 of moderate-to-vigorous physical activity (MVPA) and nonsedentary activity (NSA) were the outcome measures. Correlations among potential correlates and PA ranged from r= -0.12-0.26. Correlates in the final MVPA model were age, race, sex, BMI Z score, and parent perception of athletic competence, explaining 37% of the variance. The NSA model included the latter two variables, explaining 35% of the variance. Demographic factors were correlates of PA; parent perceptions of children's.
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              Validation of uniaxial and triaxial accelerometers for the assessment of physical activity in preschool children.

              Given the unique physical activity (PA) patterns of preschoolers, wearable electronic devices for quantitative assessment of physical activity require validation in this population. Study objective was to validate uniaxial and triaxial accelerometers in preschoolers. Room calorimetry was performed over 3 hours in 64 preschoolers, wearing Actical, Actiheart, and RT3 accelerometers during play, slow, moderate, and fast translocation. Based on activity energy expenditure (AEE) and accelerometer counts, optimal thresholds for PA levels were determined by piecewise linear regression and discrimination boundary analysis. Established HR cutoffs in preschoolers for sedentary/light, light/moderate and moderate/vigorous levels were used to define AEE (0.015, 0.054, 0.076 kcal·kg-1·min-1) and PA ratio (PAR; 1.6, 2.9, 3.6) thresholds, and accelerometer thresholds. True positive predictive rates were 77%, 75%, and 76% for sedentary; 63%, 61%, and 65% for light; 34%, 52%, and 49% for moderate; 46%, 46%, and 49% for vigorous levels. Due to low positive predictive rates, we combined moderate and vigorous PA. Classification accuracy was improved overall and for the combined moderate-to-vigorous PA level (69%, 82%, 79%) for Actical, Actiheart, and RT3, respectively. Uniaxial and triaxial accelerometers are acceptable devices with similar classification accuracy for sedentary, light, and moderate-to-vigorous levels of PA in preschoolers.
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                Author and article information

                Contributors
                (613) 737-7600 , jpchaput@cheo.on.ca
                rachel.colley@canada.ca
                saubert@cheo.on.ca
                vlcarson@ualberta.ca
                ian.janssen@queensu.ca
                karen.c.roberts@phac-aspc.gc.ca
                mtremblay@cheo.on.ca
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                20 November 2017
                20 November 2017
                2017
                : 17
                Issue : Suppl 5 Issue sponsor : Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The supplement editor declares the following: I publish and serve as a co-investigator on research grants with Dr. Brian Timmons. I have previously published one paper with Dr. Catherine Birken. Drs. Valerie Carson and Kristi Adamo are my co-applicants on a grant submission currently under review as of the publication date of this supplement. I have no financial competing interests to declare.
                : 829
                Affiliations
                [1 ]ISNI 0000 0000 9402 6172, GRID grid.414148.c, Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, ; 401 Smyth Road, Ottawa, ON K1H 8L1 Canada
                [2 ]ISNI 0000 0001 2097 5698, GRID grid.413850.b, Health Analysis Division, Statistics Canada, ; Ottawa, ON K1A 0T6 Canada
                [3 ]GRID grid.17089.37, Faculty of Physical Education and Recreation, University of Alberta, ; Edmonton, AB T6G 2H9 Canada
                [4 ]ISNI 0000 0004 1936 8331, GRID grid.410356.5, School of Kinesiology and Health Studies, Department of Public Health Sciences, , Queen’s University, ; Kingston, ON K7L 3N6 Canada
                [5 ]ISNI 0000 0001 0805 4386, GRID grid.415368.d, Centre for Surveillance and Applied Research, Public Health Agency of Canada, ; Ottawa, ON K1A 0K9 Canada
                Article
                4854
                10.1186/s12889-017-4854-y
                5773883
                29219075
                2be02d2b-ffa9-4cd6-bbc7-5b9e76e4532c
                © 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.

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                Research
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                © The Author(s) 2017

                Public health
                physical activity,sedentary behaviour,screen time,sleep,obesity,weight,surveillance,recommendations,early years

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