Development of an Accelerometer-Linked Online Intervention System to Promote Physical Activity in Adolescents
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{"title"=>"Development of an accelerometer-linked online intervention system to promote physical activity in adolescents", "type"=>"journal", "authors"=>[{"first_name"=>"Nicole", "last_name"=>"Guthrie", "scopus_author_id"=>"36869183900"}, {"first_name"=>"Andrew", "last_name"=>"Bradlyn", "scopus_author_id"=>"6701665750"}, {"first_name"=>"Sharon K.", "last_name"=>"Thompson", "scopus_author_id"=>"56662674300"}, {"first_name"=>"Sophia", "last_name"=>"Yen", "scopus_author_id"=>"55378109000"}, {"first_name"=>"Jana", "last_name"=>"Haritatos", "scopus_author_id"=>"57193801205"}, {"first_name"=>"Fred", "last_name"=>"Dillon", "scopus_author_id"=>"56662872300"}, {"first_name"=>"Steve W.", "last_name"=>"Cole", "scopus_author_id"=>"55237592900"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"604521422", "sgr"=>"84930226860", "pmid"=>"26010359", "scopus"=>"2-s2.0-84930226860", "isbn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0128639", "issn"=>"19326203"}, "id"=>"752b9209-d755-35ab-9d9d-75a13a3cc88c", "abstract"=>"Most adolescents do not achieve the recommended levels of moderate-to-vigorous physical activity (MVPA), placing them at increased risk for a diverse array of chronic diseases in adulthood. There is a great need for scalable and effective interventions that can increase MVPA in adolescents. Here we report the results of a measurement validation study and a preliminary proof-of-concept experiment testing the impact of Zamzee, an accelerometer-linked online intervention system that combines proximal performance feedback and incentive motivation features to promote MVPA. In a calibration study that parametrically varied levels of physical activity in 31 12-14 year-old children, the Zamzee activity meter was shown to provide a valid measure of MVPA (sensitivity in detecting MVPA = 85.9%, specificity = 97.5%, and r = .94 correspondence with the benchmark RT3 accelerometer system; all p < .0001). In a subsequent randomized controlled multi-site experiment involving 182 middle school-aged children assessed for MVPA over 6 wks, intent-to-treat analyses found that those who received access to the Zamzee intervention had average MVPA levels 54% greater than those of a passive control group (p < 0.0001) and 68% greater than those of an active control group that received access to a commercially available active videogame (p < .0001). Zamzee's effects on MVPA did not diminish significantly over the course of the 6-wk study period, and were statistically significant in both females and males, and in normal- vs. high-BMI subgroups. These results provide promising initial indications that combining the Zamzee activity meter with online proximal performance feedback and incentive motivation features can positively impact MVPA levels in adolescents.", "link"=>"http://www.mendeley.com/research/development-accelerometerlinked-online-intervention-system-promote-physical-activity-adolescents", "reader_count"=>36, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Student > Doctoral Student"=>4, "Researcher"=>4, "Student > Ph. D. Student"=>12, "Student > Postgraduate"=>2, "Student > Master"=>5, "Other"=>1, "Student > Bachelor"=>2, "Lecturer > Senior Lecturer"=>3, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Student > Doctoral Student"=>4, "Researcher"=>4, "Student > Ph. D. Student"=>12, "Student > Postgraduate"=>2, "Student > Master"=>5, "Other"=>1, "Student > Bachelor"=>2, "Lecturer > Senior Lecturer"=>3, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Nursing and Health Professions"=>5, "Biochemistry, Genetics and Molecular Biology"=>2, "Medicine and Dentistry"=>6, "Agricultural and Biological Sciences"=>1, "Neuroscience"=>1, "Sports and Recreations"=>6, "Psychology"=>2, "Social Sciences"=>5, "Computer Science"=>3, "Decision Sciences"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>5}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>6}, "Psychology"=>{"Psychology"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>3}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>5}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>3}}, "reader_count_by_country"=>{"Romania"=>1, "Brazil"=>1, "United Kingdom"=>1, "Tunisia"=>1, "Spain"=>1}, "group_count"=>5}

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  • {"files"=>["https://ndownloader.figshare.com/files/2083094", "https://ndownloader.figshare.com/files/2083095", "https://ndownloader.figshare.com/files/2083096"], "description"=>"<div><p>Most adolescents do not achieve the recommended levels of moderate-to-vigorous physical activity (MVPA), placing them at increased risk for a diverse array of chronic diseases in adulthood. There is a great need for scalable and effective interventions that can increase MVPA in adolescents. Here we report the results of a measurement validation study and a preliminary proof-of-concept experiment testing the impact of Zamzee, an accelerometer-linked online intervention system that combines proximal performance feedback and incentive motivation features to promote MVPA. In a calibration study that parametrically varied levels of physical activity in 31 12-14 year-old children, the Zamzee activity meter was shown to provide a valid measure of MVPA (sensitivity in detecting MVPA = 85.9%, specificity = 97.5%, and r = .94 correspondence with the benchmark RT3 accelerometer system; all p < .0001). In a subsequent randomized controlled multi-site experiment involving 182 middle school-aged children assessed for MVPA over 6 wks, intent-to-treat analyses found that those who received access to the Zamzee intervention had average MVPA levels 54% greater than those of a passive control group (p < 0.0001) and 68% greater than those of an active control group that received access to a commercially available active videogame (p < .0001). Zamzee’s effects on MVPA did not diminish significantly over the course of the 6-wk study period, and were statistically significant in both females and males, and in normal- vs. high-BMI subgroups. These results provide promising initial indications that combining the Zamzee activity meter with online proximal performance feedback and incentive motivation features can positively impact MVPA levels in adolescents.</p></div>", "links"=>[], "tags"=>["incentive motivation features", "Promote Physical Activity", "mvpa", "control group", "Zamzee activity meter", "performance feedback", "measurement validation study", "benchmark RT 3 accelerometer system"], "article_id"=>1426712, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nicole Guthrie", "Andrew Bradlyn", "Sharon K. Thompson", "Sophia Yen", "Jana Haritatos", "Fred Dillon", "Steve W. Cole"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0128639.s001", "https://dx.doi.org/10.1371/journal.pone.0128639.s002", "https://dx.doi.org/10.1371/journal.pone.0128639.s003"], "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Development_of_an_Accelerometer_Linked_Online_Intervention_System_to_Promote_Physical_Activity_in_Adolescents_/1426712", "title"=>"Development of an Accelerometer-Linked Online Intervention System to Promote Physical Activity in Adolescents", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-05-26 16:16:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/2083090"], "description"=>"<p>Sample Characteristics.</p>", "links"=>[], "tags"=>["incentive motivation features", "Promote Physical Activity", "mvpa", "control group", "Zamzee activity meter", "performance feedback", "measurement validation study", "benchmark RT 3 accelerometer system"], "article_id"=>1426708, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nicole Guthrie", "Andrew Bradlyn", "Sharon K. Thompson", "Sophia Yen", "Jana Haritatos", "Fred Dillon", "Steve W. Cole"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128639.t001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sample_Characteristics_/1426708", "title"=>"Sample Characteristics.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-05-26 16:16:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/2083082"], "description"=>"<p>(A) Receiver operating characteristic analyses were applied to the parametric physical activity calibration data (described in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128639#pone.0128639.g001\" target=\"_blank\">Fig 1</a>) to identify optimal accelerometer VMa cut points for distinguishing moderate-to-vigorous physical activity (MVPA = activity ≥ 4 MET intensity) and vigorous physical activity (VPA = activity ≥ 6 MET intensity). r and p values derive from ancillary Spearman rank correlation analyses to assess monotonic relationship between VMa and METs over the entire range of activity intensities examined.</p>", "links"=>[], "tags"=>["incentive motivation features", "Promote Physical Activity", "mvpa", "control group", "Zamzee activity meter", "performance feedback", "measurement validation study", "benchmark RT 3 accelerometer system"], "article_id"=>1426700, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nicole Guthrie", "Andrew Bradlyn", "Sharon K. Thompson", "Sophia Yen", "Jana Haritatos", "Fred Dillon", "Steve W. Cole"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128639.g002", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correspondence_between_Zamzee_VMa_values_and_experimentally_manipulated_activity_intensity_in_METs_/1426700", "title"=>"Correspondence between Zamzee VMa values and experimentally manipulated activity intensity (in METs).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-26 16:16:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/2083088"], "description"=>"<p>Average (±SE) daily MVPA rate (MVPA duration as a fraction of total time monitored) (A) and standardized MVPA duration (i.e., standardized to a 16 h waking day) (B) in passive control condition participants, active control participants who received a DDR active video game, and intervention group participants who received access to the Zamzee online feedback and rewards system.</p>", "links"=>[], "tags"=>["incentive motivation features", "Promote Physical Activity", "mvpa", "control group", "Zamzee activity meter", "performance feedback", "measurement validation study", "benchmark RT 3 accelerometer system"], "article_id"=>1426706, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nicole Guthrie", "Andrew Bradlyn", "Sharon K. Thompson", "Sophia Yen", "Jana Haritatos", "Fred Dillon", "Steve W. Cole"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128639.g003", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Moderate_to_vigorous_physical_activity_MVPA_across_experimental_conditions_/1426706", "title"=>"Moderate-to-vigorous physical activity (MVPA) across experimental conditions.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-26 16:16:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/2083080"], "description"=>"<p>Physical activity was experimentally varied by asking 31 middle school-aged adolescents (12–14 years of age) to sit at rest, perform standing stretches, walk slowly, walk normally, walk rapidly, shoot baskets, jog, play soccer, and sprint for .5–10 min intervals while wearing both RT3 and Zamzee activity monitors. (A) Zamzee activity measurement (3-d accelerometer vector magnitude; VMa) and RT3 activity counts were accumulated over 10 s intervals, and the magnitude of their monotonic relationship was assessed by Spearman r correlation coefficients. Solid line indicates linear regression function. Similar results emerged from analyzes of data that averaged over repeated measurements within individuals to form a single summary mean for each activity (n = 96, r = .97, p < .0001). (B) Bland-Altman plot of agreement between MET values estimated by Zamzee vs. RT3 (difference: log<sub>10</sub> Zamzee—log<sub>10</sub> RT3) as a function of MET intensity (average: [log<sub>10</sub> Zamzee + log<sub>10</sub> RT3] / 2). Solid line indicates linear regression function.</p>", "links"=>[], "tags"=>["incentive motivation features", "Promote Physical Activity", "mvpa", "control group", "Zamzee activity meter", "performance feedback", "measurement validation study", "benchmark RT 3 accelerometer system"], "article_id"=>1426698, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Nicole Guthrie", "Andrew Bradlyn", "Sharon K. Thompson", "Sophia Yen", "Jana Haritatos", "Fred Dillon", "Steve W. Cole"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128639.g001", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correspondence_between_Zamzee_and_RT3_activity_meters_/1426698", "title"=>"Correspondence between Zamzee and RT3 activity meters.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-26 16:16:54"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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