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      Examining Young Children’s Physical Activity and Sedentary Behaviors in an Exergaming Program Using Accelerometry

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          Abstract

          Exergaming has been observed to be a viable supplemental approach in promoting physical activity (PA) among children. However, whether sex differences in PA and sedentary behaviors exist during exergaming is inconsistent. Thus, this study aimed to quantify, via accelerometry, young children’s PA and sedentary behaviors during exergaming as well as examine sex differences in these PA and sedentary behaviors during gameplay. In total, 121 first- and second-grade children (mean age = 6.89 ± 0.9 years; 73 girls) were included in the analysis. Children were a part of a large 18-week parent study. Children wore ActiGraph GT1M accelerometers during exergaming play, with four measurements purposively selected from the 28 total exergaming sessions to capture children’s PA and sedentary behaviors during exergaming play. Outcome variables included mean percentages of time spent in moderate-to-vigorous PA (MVPA), light PA (LPA), and sedentary behavior during each exergaming session. One-way ANOVA was performed to determine whether there were differences in the percentage of time engaged in MVPA, LPA, and sedentary behavior during exergaming by sex. Accelerometry data indicated that children’s mean percentage of exergaming time spent in MVPA, LPA, and sedentary behavior were 19.9%, 32.9%, and 47.2%, respectively. However, no sex differences were present. Observations in this study indicated that boys and girls have similar PA levels during exergaming and suggests that features inherent to exergaming may assist in PA promotion among both sexes.

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          Health Benefits of Light-Intensity Physical Activity: A Systematic Review of Accelerometer Data of the National Health and Nutrition Examination Survey (NHANES).

          The health effects of light-intensity physical activity (PA) are not well known today.
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            Physical activity in US youth: effect of race/ethnicity, age, gender, and weight status.

            To describe physical activity (PA) levels by race/ethnicity, age, gender, and weight status in a representative sample of US youth. Cross-sectional data from the 2003-2004 and 2005-2006 National Health and Nutrition Examination Survey were combined and analyzed. Youth aged 6-19 yr with at least four 10-h days of PA measured by accelerometry were included (n = 3106). Outcomes included mean counts per minute and minutes spent in moderate-to-vigorous PA (MVPA). Among the groups, the 6- to 11-yr-olds spent more time (88 min·d) in MVPA than the 12- to 15-yr-olds (33 min·d) and 16- to 19-yr-olds (26 min·d; P 0.050). There was a significant three-way age-body mass index-race/ethnicity interaction for mean minutes per day in MVPA (P < 0.001). Adjustment for total energy intake did not qualitatively alter these results. Females and older youth were the least active groups. Obese youth were generally less active, but this did not hold uniformly across race/ethnic groups. Cultural or biological factors could moderate the association between PA and obesity in youth.
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              Light-Intensity Physical Activity and Cardiometabolic Biomarkers in US Adolescents

              Background The minimal physical activity intensity that would confer health benefits among adolescents is unknown. The purpose of this study was to examine the associations of accelerometer-derived light-intensity (split into low and high) physical activity, and moderate- to vigorous-intensity physical activity with cardiometabolic biomarkers in a large population-based sample. Methods The study is based on 1,731 adolescents, aged 12–19 years from the 2003/04 and 2005/06 National Health and Nutrition Examination Survey. Low light-intensity activity (100–799 counts/min), high light-intensity activity (800 counts/min to <4 METs) and moderate- to vigorous-intensity activity (≥4 METs, Freedson age-specific equation) were accelerometer-derived. Cardiometabolic biomarkers, including waist circumference, systolic blood pressure, diastolic blood pressure, HDL-cholesterol, and C-reactive protein were measured. Triglycerides, LDL- cholesterol, insulin, glucose, and homeostatic model assessments of β-cell function (HOMA-%B) and insulin sensitivity (HOMA-%S) were also measured in a fasting sub-sample (n = 807). Results Adjusted for confounders, each additional hour/day of low light-intensity activity was associated with 0.59 (95% CI: 1.18–0.01) mmHG lower diastolic blood pressure. Each additional hour/day of high light-intensity activity was associated with 1.67 (2.94–0.39) mmHG lower diastolic blood pressure and 0.04 (0.001–0.07) mmol/L higher HDL-cholesterol. Each additional hour/day of moderate- to vigorous-intensity activity was associated with 3.54 (5.73–1.35) mmHG lower systolic blood pressure, 5.49 (1.11–9.77)% lower waist circumference, 25.87 (6.08–49.34)% lower insulin, and 16.18 (4.92–28.53)% higher HOMA-%S. Conclusions Time spent in low light-intensity physical activity and high light-intensity physical activity had some favorable associations with biomarkers. Consistent with current physical activity recommendations for adolescents, moderate- to vigorous-intensity activity had favorable associations with many cardiometabolic biomarkers. While increasing MVPA should still be a public health priority, further studies are needed to identify dose-response relationships for light-intensity activity thresholds to inform future recommendations and interventions for adolescents.
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                Author and article information

                Journal
                J Clin Med
                J Clin Med
                jcm
                Journal of Clinical Medicine
                MDPI
                2077-0383
                25 September 2018
                October 2018
                : 7
                : 10
                : 302
                Affiliations
                [1 ]School of Kinesiology, Shanghai University of Sport, Shanghai 200438, China
                [2 ]School of Public Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; popex157@ 123456umn.edu
                [3 ]School of Kinesiology, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA
                Author notes
                [* ]Correspondence: quanminghui@ 123456163.com (M.Q.); gaoz@ 123456umn.edu (Z.G.); Tel.: 86-21-65507363 (M.Q.); +86-(612)-626-4639 (Z.G.); Fax: +86-(612)-626-7700 (Z.G.)
                Author information
                https://orcid.org/0000-0002-4016-1322
                https://orcid.org/0000-0002-8521-4619
                https://orcid.org/0000-0002-6037-0439
                Article
                jcm-07-00302
                10.3390/jcm7100302
                6210459
                30257418
                f57a2769-0102-41e8-8f3f-4aa3a3e49acc
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 July 2018
                : 23 September 2018
                Categories
                Article

                active video game,light physical activity,moderate-to-vigorous physical activity,sedentary behavior,sex difference

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