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{"title"=>"B-MOBILE - A smartphone-based intervention to reduce sedentary time in overweight/obese individuals: A within-subjects experimental trial", "type"=>"journal", "authors"=>[{"first_name"=>"Dale S.", "last_name"=>"Bond", "scopus_author_id"=>"7102527825"}, {"first_name"=>"J. Graham", "last_name"=>"Thomas", "scopus_author_id"=>"55493184700"}, {"first_name"=>"Hollie A.", "last_name"=>"Raynor", "scopus_author_id"=>"6602547633"}, {"first_name"=>"Jon", "last_name"=>"Moon", "scopus_author_id"=>"56239080900"}, {"first_name"=>"Jared", "last_name"=>"Sieling", "scopus_author_id"=>"56239464000"}, {"first_name"=>"Jennifer", "last_name"=>"Trautvetter", "scopus_author_id"=>"44761569800"}, {"first_name"=>"Tiffany", "last_name"=>"Leblond", "scopus_author_id"=>"56239308500"}, {"first_name"=>"Rena R.", "last_name"=>"Wing", "scopus_author_id"=>"35376710700"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"373418893", "sgr"=>"84903534872", "issn"=>"19326203", "pmid"=>"24964010", "scopus"=>"2-s2.0-84903534872", "doi"=>"10.1371/journal.pone.0100821", "isbn"=>"1932-6203"}, "id"=>"0830322a-8ec5-3315-b290-a85556698ea5", "abstract"=>"PURPOSE: Excessive sedentary time (SED) has been linked to obesity and other adverse health outcomes. However, few sedentary-reducing interventions exist and none have utilized smartphones to automate behavioral strategies to decrease SED. We tested a smartphone-based intervention to monitor and decrease SED in overweight/obese individuals, and compared 3 approaches to prompting physical activity (PA) breaks and delivering feedback on SED. DESIGN AND METHODS: Participants [N = 30; Age = 47.5(13.5) years; 83% female; Body Mass Index (BMI) = 36.2(7.5) kg/m2] wore the SenseWear Mini Armband (SWA) to objectively measure SED for 7 days at baseline. Participants were then presented with 3 smartphone-based PA break conditions in counterbalanced order: (1) 3-min break after 30 SED min; (2) 6-min break after 60 SED min; and (3) 12-min break after 120 SED min. Participants followed each condition for 7 days and wore the SWA throughout. RESULTS: All PA break conditions yielded significant decreases in SED and increases in light (LPA) and moderate-to-vigorous PA (MVPA) (p<0.005). Average % SED at baseline (72.2%) decreased by 5.9%, 5.6%, and 3.3% [i.e. by mean (95% CI) -47.2(-66.3, -28.2), -44.5(-65.2, -23.8), and -26.2(-40.7, -11.6) min/d] in the 3-, 6-, and 12-min conditions, respectively. Conversely, % LPA increased from 22.8% to 26.7%, 26.7%, and 24.7% [i.e. by 31.0(15.8, 46.2), 31.0(13.6, 48.4), and 15.3(3.9, 26.8) min/d], and % MVPA increased from 5.0% to 7.0%, 6.7%, and 6.3% (i.e. by 16.2(8.5, 24.0), 13.5(6.3, 20.6), and 10.8(4.2, 17.5) min/d] in the 3-, 6-, and 12-min conditions, respectively. Planned pairwise comparisons revealed the 3-min condition was superior to the 12-min condition in decreasing SED and increasing LPA (p<0.05). CONCLUSION: The smartphone-based intervention significantly reduced SED. Prompting frequent short activity breaks may be the most effective way to decrease SED and increase PA in overweight/obese individuals. Future investigations should determine whether these SED reductions can be maintained long-term. TRIAL REGISTRATION: ClinicalTrials.gov NCT01688804.", "link"=>"http://www.mendeley.com/research/bmobile-smartphonebased-intervention-reduce-sedentary-time-overweightobese-individuals-withinsubject", "reader_count"=>153, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>5, "Librarian"=>3, "Student > Doctoral Student"=>16, "Researcher"=>16, "Student > Ph. D. Student"=>39, "Student > Postgraduate"=>8, "Student > Master"=>29, "Other"=>8, "Student > Bachelor"=>18, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>3, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>5, "Librarian"=>3, "Student > Doctoral Student"=>16, "Researcher"=>16, "Student > Ph. D. Student"=>39, "Student > Postgraduate"=>8, "Student > Master"=>29, "Other"=>8, "Student > Bachelor"=>18, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>3, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>11, "Agricultural and Biological Sciences"=>9, "Computer Science"=>19, "Earth and Planetary Sciences"=>1, "Economics, Econometrics and Finance"=>2, "Engineering"=>2, "Environmental Science"=>1, "Nursing and Health Professions"=>12, "Materials Science"=>1, "Medicine and Dentistry"=>34, "Sports and Recreations"=>18, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Physics and Astronomy"=>1, "Psychology"=>24, "Social Sciences"=>17}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>34}, "Social Sciences"=>{"Social Sciences"=>17}, "Sports and Recreations"=>{"Sports and Recreations"=>18}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>24}, "Unspecified"=>{"Unspecified"=>11}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Engineering"=>{"Engineering"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>9}, "Computer Science"=>{"Computer Science"=>19}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>12}}, "reader_count_by_country"=>{"Canada"=>1, "Colombia"=>1, "United States"=>4, "United Kingdom"=>3, "Mexico"=>1, "Australia"=>1, "Portugal"=>1, "Germany"=>2, "Spain"=>2}, "group_count"=>18}

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• {"id"=>"481997087207194624", "text"=>"スマホで座っている時間を短縮させる臨床試験。B-MOBILE - A Smartphone-Based Intervention to Reduce Sedentary Time in Overweight/Obese … http://t.co/rtYFm8mCnM", "created_at"=>"2014-06-26T03:07:15Z", "user"=>"uranus_2", "user_name"=>"マーキュリー２世", "user_profile_image"=>"http://abs.twimg.com/sticky/default_profile_images/default_profile_5_normal.png"}
• {"id"=>"482056092202315776", "text"=>"Research: B-MOBILE-A smartphone-based intervention to reduce sedentary time in overweight/obese individuals http://t.co/42gBk0JUoN", "created_at"=>"2014-06-26T07:01:43Z", "user"=>"SCPHRP", "user_name"=>"SCPHRP ", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000384698203/45dcaa2b273ac83b0a74bb77bc872001_normal.png"}
• {"id"=>"482452619911516161", "text"=>"Älypuhelinsovellus voi vähentää istumisaikaa ja lisätä liikuntaa:http://t.co/HYwKUKxI3G #terveys #mhealth #liikunta", "created_at"=>"2014-06-27T09:17:22Z", "user"=>"HennaVepsalaine", "user_name"=>"Henna Vepsäläinen", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000854175832/a5da23ed01e06555a3c0fcadf9c3ffbd_normal.jpeg"}
• {"id"=>"482467327536300032", "text"=>"RT @HennaVepsalaine: Älypuhelinsovellus voi vähentää istumisaikaa ja lisätä liikuntaa:http://t.co/HYwKUKxI3G #terveys #mhealth #liikunta", "created_at"=>"2014-06-27T10:15:49Z", "user"=>"GerryWieder", "user_name"=>"Gerry Wieder RN", "user_profile_image"=>"http://pbs.twimg.com/profile_images/467522458178695168/cFC4V81V_normal.jpeg"}
• {"id"=>"482599240753901568", "text"=>"B-MOBILE - A Smartphone-Based Tx to Reduce Sedentary Time in Overweight/Obese Indivs... #PLoSONE http://t.co/2lrF17S3M4", "created_at"=>"2014-06-27T18:59:59Z", "user"=>"creddingvye", "user_name"=>"CRedding", "user_profile_image"=>"http://pbs.twimg.com/profile_images/460809361409859584/qDVm1gi9_normal.jpeg"}
• {"id"=>"483189942676250624", "text"=>"New #smartphone #app can reduce #sedentary behavior in obese adults #PLOSONE http://t.co/bpoGQ8pUlj #QuantifiedSelf #MoveMoreSitLess", "created_at"=>"2014-06-29T10:07:14Z", "user"=>"JanSeghers", "user_name"=>"Jan Seghers", "user_profile_image"=>"http://pbs.twimg.com/profile_images/477877618595725313/_59fiVtQ_normal.jpeg"}
• {"id"=>"483312294668275713", "text"=>"RT @JanSeghers: New #smartphone #app can reduce #sedentary behavior in obese adults #PLOSONE http://t.co/bpoGQ8pUlj #QuantifiedSelf #MoveMo…", "created_at"=>"2014-06-29T18:13:25Z", "user"=>"MattyvanEst", "user_name"=>"Matty van Est", "user_profile_image"=>"http://pbs.twimg.com/profile_images/433293530128474112/wmupJXQ4_normal.jpeg"}
• {"id"=>"483352859749412865", "text"=>"RT @JanSeghers: New #smartphone #app can reduce #sedentary behavior in obese adults #PLOSONE http://t.co/bpoGQ8pUlj #QuantifiedSelf #MoveMo…", "created_at"=>"2014-06-29T20:54:36Z", "user"=>"JaniVaara", "user_name"=>"Jani Vaara", "user_profile_image"=>"http://pbs.twimg.com/profile_images/3046875086/7bb9abea375e818aaf70493843f7d36a_normal.jpeg"}
• {"id"=>"483483827911028737", "text"=>"RT @JanSeghers: New #smartphone #app can reduce #sedentary behavior in obese adults #PLOSONE http://t.co/PLqLVvxLHP #MoveMoreSitLess", "created_at"=>"2014-06-30T05:35:01Z", "user"=>"officefitltd", "user_name"=>"OfficeFit", "user_profile_image"=>"http://pbs.twimg.com/profile_images/3278110697/383910dea89204e9d3b9a021f1142348_normal.png"}
• {"id"=>"484694804996321280", "text"=>"Daling van sedentair gedrag middels een smartphone app die waarschuwt wanneer je te lang zit http://t.co/jFPEEmZMvS #Sporthogeschool", "created_at"=>"2014-07-03T13:47:01Z", "user"=>"ArtsDennis", "user_name"=>"Dennis Arts", "user_profile_image"=>"http://pbs.twimg.com/profile_images/437157468175474688/yrJxNpVe_normal.jpeg"}
• {"id"=>"484794714919813120", "text"=>"RT @ArtsDennis: Daling van sedentair gedrag middels een smartphone app die waarschuwt wanneer je te lang zit http://t.co/jFPEEmZMvS #Sporth…", "created_at"=>"2014-07-03T20:24:01Z", "user"=>"MediatheekFSH", "user_name"=>"Mediatheek FSH", "user_profile_image"=>"http://pbs.twimg.com/profile_images/466123385018146817/d61yKahF_normal.png"}
• {"id"=>"484811046755241987", "text"=>"RT @ArtsDennis: Daling van sedentair gedrag middels een smartphone app die waarschuwt wanneer je te lang zit http://t.co/jFPEEmZMvS #Sporth…", "created_at"=>"2014-07-03T21:28:55Z", "user"=>"MattyvanEst", "user_name"=>"Matty van Est", "user_profile_image"=>"http://pbs.twimg.com/profile_images/433293530128474112/wmupJXQ4_normal.jpeg"}
• {"id"=>"484816936774430720", "text"=>"RT @ArtsDennis: Daling van sedentair gedrag middels een smartphone app die waarschuwt wanneer je te lang zit http://t.co/jFPEEmZMvS #Sporth…", "created_at"=>"2014-07-03T21:52:19Z", "user"=>"FITReturn", "user_name"=>"John Matthijs", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1096909159/20100531_2_normal.jpg"}
• {"id"=>"494018027235868673", "text"=>"Been looking myself its Android only and this tweeter has an iPhone :( http://t.co/ZPzg17TlUb", "created_at"=>"2014-07-29T07:14:10Z", "user"=>"LDC_tweets", "user_name"=>"Leicester Diabetes", "user_profile_image"=>"http://pbs.twimg.com/profile_images/489788234340126722/Tp-LHf88_normal.jpeg"}
• {"id"=>"494090532126461952", "text"=>"RT @LDC_tweets: Been looking myself its Android only and this tweeter has an iPhone :( http://t.co/ZPzg17TlUb", "created_at"=>"2014-07-29T12:02:17Z", "user"=>"pmbonar", "user_name"=>"Michael Bonar", "user_profile_image"=>"http://pbs.twimg.com/profile_images/2903774470/56baf8d21afc72f3335dca46f87f3e38_normal.png"}
• {"id"=>"496549606151290880", "text"=>"Smartphone app significantly decreases sedentary time among overweight/obese individuals http://t.co/QHv33oMxce via @PLOSONE", "created_at"=>"2014-08-05T06:53:46Z", "user"=>"simon_rosenbaum", "user_name"=>"Simon Rosenbaum", "user_profile_image"=>"http://pbs.twimg.com/profile_images/2147959017/profile_normal.png"}
• {"id"=>"496550995225485312", "text"=>"RT @simon_rosenbaum: Smartphone app significantly decreases sedentary time among overweight/obese individuals http://t.co/QHv33oMxce via @P…", "created_at"=>"2014-08-05T06:59:17Z", "user"=>"Pratt_Steve", "user_name"=>"Steve Pratt", "user_profile_image"=>"http://pbs.twimg.com/profile_images/486013390771335170/2Bo8PQGn_normal.jpeg"}
• {"id"=>"496553069950566400", "text"=>"RT @simon_rosenbaum: Smartphone app significantly decreases sedentary time among overweight/obese individuals http://t.co/QHv33oMxce via @P…", "created_at"=>"2014-08-05T07:07:32Z", "user"=>"exerciseworks", "user_name"=>"Exercise Works!", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1253185990/Exercise_Works_avatar_normal.jpg"}
• {"id"=>"496560659426213888", "text"=>"RT @simon_rosenbaum: Smartphone app significantly decreases sedentary time among overweight/obese individuals http://t.co/QHv33oMxce via @P…", "created_at"=>"2014-08-05T07:37:41Z", "user"=>"Beat_Health", "user_name"=>"BeatHealth Project", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000599720890/ea023a88f30a42bed170817d88e93242_normal.png"}
• {"id"=>"496618199757369344", "text"=>"RT @simon_rosenbaum: Smartphone app significantly decreases sedentary time among overweight/obese individuals http://t.co/QHv33oMxce via @P…", "created_at"=>"2014-08-05T11:26:20Z", "user"=>"KidsRunClub_DNS", "user_name"=>"Kids' Run Club", "user_profile_image"=>"http://pbs.twimg.com/profile_images/476430674744721408/GTuyg0GY_normal.jpeg"}
• {"id"=>"496630583334674434", "text"=>"RT @simon_rosenbaum: Smartphone app significantly decreases sedentary time among overweight/obese http://t.co/mo3OR8oRcn via @PLOSONE", "created_at"=>"2014-08-05T12:15:32Z", "user"=>"aicrtweets", "user_name"=>"AICR ", "user_profile_image"=>"http://pbs.twimg.com/profile_images/472692960/AICR_LogoReflexBlue_hires3_normal.jpg"}
• {"id"=>"530393886590771201", "text"=>"B-MOBILE study results here: http://t.co/ysLxz1aWwb #OW2014", "created_at"=>"2014-11-06T16:18:51Z", "user"=>"NutritionNerd", "user_name"=>"Tanya Halliday, RD", "user_profile_image"=>"http://pbs.twimg.com/profile_images/493543300565987329/gaLyX8fz_normal.jpeg"}
• {"id"=>"530396237988921344", "text"=>"RT @NutritionNerd: B-MOBILE study results here: http://t.co/ysLxz1aWwb #OW2014", "created_at"=>"2014-11-06T16:28:12Z", "user"=>"CortneySteele", "user_name"=>"Cortney Steele", "user_profile_image"=>"http://pbs.twimg.com/profile_images/470201159958159360/MGEvYfqP_normal.jpeg"}
• {"id"=>"883386525203013635", "text"=>"Congrats to the B-MOBILE study team! https://t.co/ObfGOYL2hJ #plosmostcited @WeightResearch @PLOS @BrownMedicine", "created_at"=>"2017-07-07T18:05:34Z", "user"=>"dalesbond", "user_name"=>"dbond", "user_profile_image"=>"http://pbs.twimg.com/profile_images/630783133206642688/y8vkWgn7_normal.jpg"}
• {"id"=>"883403067340632064", "text"=>"RT @dalesbond: Congrats to the B-MOBILE study team! https://t.co/ObfGOYL2hJ #plosmostcited @WeightResearch @PLOS @BrownMedicine", "created_at"=>"2017-07-07T19:11:18Z", "user"=>"WeightResearch", "user_name"=>"Graham Thomas", "user_profile_image"=>"http://pbs.twimg.com/profile_images/582633905330765824/G7zGote3_normal.jpg"}
• {"id"=>"883705691831250945", "text"=>"RT @dalesbond: Congrats to the B-MOBILE study team! https://t.co/ObfGOYL2hJ #plosmostcited @WeightResearch @PLOS @BrownMedicine", "created_at"=>"2017-07-08T15:13:50Z", "user"=>"dr_j_pavlovic", "user_name"=>"Jelena Pavlovic", "user_profile_image"=>"http://pbs.twimg.com/profile_images/603410255603769344/8QKLCw4A_normal.jpg"}
• {"id"=>"884873594500661248", "text"=>"RT @dalesbond: Congrats to the B-MOBILE study team! https://t.co/ObfGOYL2hJ #plosmostcited @WeightResearch @PLOS @BrownMedicine", "created_at"=>"2017-07-11T20:34:39Z", "user"=>"markzebrachair", "user_name"=>"Mark Johnson", "user_profile_image"=>"http://pbs.twimg.com/profile_images/522613386639446017/aFC6uvE-_normal.jpeg"}

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/1564272"], "description"=>"<p>Note. BMI =  Body Mass Index (kg/m²).</p>", "links"=>[], "tags"=>["nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "health care", "Health care policy", "Public and occupational health", "Behavioral and social aspects of health", "Sports and exercise medicine"], "article_id"=>1082651, "categories"=>["Biological Sciences"], "users"=>["Dale S. Bond", "J. Graham Thomas", "Hollie A. Raynor", "Jon Moon", "Jared Sieling", "Jennifer Trautvetter", "Tiffany Leblond", "Rena R. Wing"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100821.t001", "stats"=>{"downloads"=>2, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subject_characteristics_N_8202_8202_30_/1082651", "title"=>"Subject characteristics (N = 30).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-25 02:47:57"}
• {"files"=>["https://ndownloader.figshare.com/files/1566486"], "description"=>"<p>Note. Physical activity break conditions  = 3-min walking break after 30 continuous sedentary minutes; 6-min walking break after 60 continuous sedentary minutes, and 12-min walking break after 120 continuous sedentary minutes.</p><p>Values are presented as mean (95% CI) for % of daily waking hours and mean (95% CI; Cohen's d effect size) for baseline minutes and change in daily minutes from baseline.</p><p>For sedentary, light, and moderate-to-vigorous physical activity separately, values with different superscript letters indicate significant (<i>P</i><0.05) differences between groups based on planned comparisons.</p>", "links"=>[], "tags"=>["nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "health care", "Health care policy", "Public and occupational health", "Behavioral and social aspects of health", "Sports and exercise medicine", "spent", "sedentary", "baseline"], "article_id"=>1083980, "categories"=>["Biological Sciences"], "users"=>["Dale S. Bond", "J. Graham Thomas", "Hollie A. Raynor", "Jon Moon", "Jared Sieling", "Jennifer Trautvetter", "Tiffany Leblond", "Rena R. Wing"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100821.t002", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Time_spent_sedentary_and_active_during_baseline_and_the_3_physical_activity_break_conditions_/1083980", "title"=>"Time spent sedentary and active during baseline and the 3 physical activity break conditions.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-25 14:50:20"}
• {"files"=>["https://ndownloader.figshare.com/files/1564271"], "description"=>"<p>Smartphone display when A) smartphone is activated and idle, B) an activity prompt is presented, C) the onboard accelerometer detects that the activity break goal has been accomplished, D) “Go lights” have been earned by performing activity breaks following activity prompts.</p>", "links"=>[], "tags"=>["nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "health care", "Health care policy", "Public and occupational health", "Behavioral and social aspects of health", "Sports and exercise medicine", "smartphone", "activated", "onboard", "accelerometer", "detects", "been", "earned", "performing", "breaks"], "article_id"=>1082650, "categories"=>["Biological Sciences"], "users"=>["Dale S. Bond", "J. Graham Thomas", "Hollie A. Raynor", "Jon Moon", "Jared Sieling", "Jennifer Trautvetter", "Tiffany Leblond", "Rena R. Wing"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100821.g002", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Smartphone_display_when_A_smartphone_is_activated_and_idle_B_an_activity_prompt_is_presented_C_the_onboard_accelerometer_detects_that_the_activity_break_goal_has_been_accomplished_D_8220_Go_lights_8221_have_been_earned_by_performing_activity_breaks_follo/1082650", "title"=>"Smartphone display when A) smartphone is activated and idle, B) an activity prompt is presented, C) the onboard accelerometer detects that the activity break goal has been accomplished, D) “Go lights” have been earned by performing activity breaks following activity prompts.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-25 02:47:57"}
• {"files"=>["https://ndownloader.figshare.com/files/1566482"], "description"=>"<p>Flow diagram includes data on number of respondents to study advertisements, participant enrollment, number of participants who completed the study, and primary analysis.</p>", "links"=>[], "tags"=>["nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "health care", "Health care policy", "Public and occupational health", "Behavioral and social aspects of health", "Sports and exercise medicine", "diagram", "includes", "respondents", "completed"], "article_id"=>1083976, "categories"=>["Biological Sciences"], "users"=>["Dale S. Bond", "J. Graham Thomas", "Hollie A. Raynor", "Jon Moon", "Jared Sieling", "Jennifer Trautvetter", "Tiffany Leblond", "Rena R. Wing"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100821.g001", "stats"=>{"downloads"=>5, "page_views"=>89, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Flow_diagram_includes_data_on_number_of_respondents_to_study_advertisements_participant_enrollment_number_of_participants_who_completed_the_study_and_primary_analysis_/1083976", "title"=>"Flow diagram includes data on number of respondents to study advertisements, participant enrollment, number of participants who completed the study, and primary analysis.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-25 14:50:20"}
• {"files"=>["https://ndownloader.figshare.com/files/1564274", "https://ndownloader.figshare.com/files/1564275"], "description"=>"<div><p>Purpose</p><p>Excessive sedentary time (SED) has been linked to obesity and other adverse health outcomes. However, few sedentary-reducing interventions exist and none have utilized smartphones to automate behavioral strategies to decrease SED. We tested a smartphone-based intervention to monitor and decrease SED in overweight/obese individuals, and compared 3 approaches to prompting physical activity (PA) breaks and delivering feedback on SED.</p><p>Design and Methods</p><p>Participants [N = 30; Age  = 47.5(13.5) years; 83% female; Body Mass Index (BMI) = 36.2(7.5) kg/m²] wore the SenseWear Mini Armband (SWA) to objectively measure SED for 7 days at baseline. Participants were then presented with 3 smartphone-based PA break conditions in counterbalanced order: (1) 3-min break after 30 SED min; (2) 6-min break after 60 SED min; and (3) 12-min break after 120 SED min. Participants followed each condition for 7 days and wore the SWA throughout.</p><p>Results</p><p>All PA break conditions yielded significant decreases in SED and increases in light (LPA) and moderate-to-vigorous PA (MVPA) (<i>p</i><0.005). Average % SED at baseline (72.2%) decreased by 5.9%, 5.6%, and 3.3% [i.e. by mean (95% CI) −47.2(−66.3, −28.2), −44.5(−65.2, −23.8), and −26.2(−40.7, −11.6) min/d] in the 3-, 6-, and 12-min conditions, respectively. Conversely, % LPA increased from 22.8% to 26.7%, 26.7%, and 24.7% [i.e. by 31.0(15.8, 46.2), 31.0(13.6, 48.4), and 15.3(3.9, 26.8) min/d], and % MVPA increased from 5.0% to 7.0%, 6.7%, and 6.3% (i.e. by 16.2(8.5, 24.0), 13.5(6.3, 20.6), and 10.8(4.2, 17.5) min/d] in the 3-, 6-, and 12-min conditions, respectively. Planned pairwise comparisons revealed the 3-min condition was superior to the 12-min condition in decreasing SED and increasing LPA (<i>p</i><0.05).</p><p>Conclusion</p><p>The smartphone-based intervention significantly reduced SED. Prompting frequent short activity breaks may be the most effective way to decrease SED and increase PA in overweight/obese individuals. Future investigations should determine whether these SED reductions can be maintained long-term.</p><p>Trial Registration</p><p><a href=\"http://clinicaltrials.gov/ct2/show/NCT01688804\" target=\"_blank\">ClinicalTrials.gov NCT01688804</a></p></div>", "links"=>[], "tags"=>["nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "health care", "Health care policy", "Public and occupational health", "Behavioral and social aspects of health", "Sports and exercise medicine", "smartphone-based", "sedentary", "within-subjects"], "article_id"=>1082653, "categories"=>["Biological Sciences"], "users"=>["Dale S. Bond", "J. Graham Thomas", "Hollie A. Raynor", "Jon Moon", "Jared Sieling", "Jennifer Trautvetter", "Tiffany Leblond", "Rena R. Wing"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0100821.s001", "https://dx.doi.org/10.1371/journal.pone.0100821.s003"], "stats"=>{"downloads"=>14, "page_views"=>26, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_B_MOBILE_A_Smartphone_Based_Intervention_to_Reduce_Sedentary_Time_in_Overweight_Obese_Individuals_A_Within_Subjects_Experimental_Trial/1082653", "title"=>"<i>B-MOBILE</i> - A Smartphone-Based Intervention to Reduce Sedentary Time in Overweight/Obese Individuals: A Within-Subjects Experimental Trial", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-06-25 02:47:57"}
• {"files"=>["https://ndownloader.figshare.com/files/1566488", "https://ndownloader.figshare.com/files/1566489"], "description"=>"<div><p>Purpose</p><p>Excessive sedentary time (SED) has been linked to obesity and other adverse health outcomes. However, few sedentary-reducing interventions exist and none have utilized smartphones to automate behavioral strategies to decrease SED. We tested a smartphone-based intervention to monitor and decrease SED in overweight/obese individuals, and compared 3 approaches to prompting physical activity (PA) breaks and delivering feedback on SED.</p><p>Design and Methods</p><p>Participants [N = 30; Age  = 47.5(13.5) years; 83% female; Body Mass Index (BMI) = 36.2(7.5) kg/m²] wore the SenseWear Mini Armband (SWA) to objectively measure SED for 7 days at baseline. Participants were then presented with 3 smartphone-based PA break conditions in counterbalanced order: (1) 3-min break after 30 SED min; (2) 6-min break after 60 SED min; and (3) 12-min break after 120 SED min. Participants followed each condition for 7 days and wore the SWA throughout.</p><p>Results</p><p>All PA break conditions yielded significant decreases in SED and increases in light (LPA) and moderate-to-vigorous PA (MVPA) (<i>p</i><0.005). Average % SED at baseline (72.2%) decreased by 5.9%, 5.6%, and 3.3% [i.e. by mean (95% CI) −47.2(−66.3, −28.2), −44.5(−65.2, −23.8), and −26.2(−40.7, −11.6) min/d] in the 3-, 6-, and 12-min conditions, respectively. Conversely, % LPA increased from 22.8% to 26.7%, 26.7%, and 24.7% [i.e. by 31.0(15.8, 46.2), 31.0(13.6, 48.4), and 15.3(3.9, 26.8) min/d], and % MVPA increased from 5.0% to 7.0%, 6.7%, and 6.3% (i.e. by 16.2(8.5, 24.0), 13.5(6.3, 20.6), and 10.8(4.2, 17.5) min/d] in the 3-, 6-, and 12-min conditions, respectively. Planned pairwise comparisons revealed the 3-min condition was superior to the 12-min condition in decreasing SED and increasing LPA (<i>p</i><0.05).</p><p>Conclusion</p><p>The smartphone-based intervention significantly reduced SED. Prompting frequent short activity breaks may be the most effective way to decrease SED and increase PA in overweight/obese individuals. Future investigations should determine whether these SED reductions can be maintained long-term.</p><p>Trial Registration</p><p><a href=\"http://clinicaltrials.gov/ct2/show/NCT01688804\" target=\"_blank\">ClinicalTrials.gov NCT01688804</a></p></div>", "links"=>[], "tags"=>["nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "health care", "Health care policy", "Public and occupational health", "Behavioral and social aspects of health", "Sports and exercise medicine", "smartphone-based", "sedentary", "within-subjects"], "article_id"=>1083982, "categories"=>["Biological Sciences"], "users"=>["Dale S. Bond", "J. Graham Thomas", "Hollie A. Raynor", "Jon Moon", "Jared Sieling", "Jennifer Trautvetter", "Tiffany Leblond", "Rena R. Wing"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0100821.s001", "https://dx.doi.org/10.1371/journal.pone.0100821.s003"], "stats"=>{"downloads"=>2, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_B_MOBILE_A_Smartphone_Based_Intervention_to_Reduce_Sedentary_Time_in_Overweight_Obese_Individuals_A_Within_Subjects_Experimental_Trial/1083982", "title"=>"<i>B-MOBILE</i> - A Smartphone-Based Intervention to Reduce Sedentary Time in Overweight/Obese Individuals: A Within-Subjects Experimental Trial", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-06-25 14:50:20"}
• {"files"=>["https://ndownloader.figshare.com/files/1566485"], "description"=>"<p>Note. BMI =  Body Mass Index (kg/m²).</p>", "links"=>[], "tags"=>["nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "health care", "Health care policy", "Public and occupational health", "Behavioral and social aspects of health", "Sports and exercise medicine"], "article_id"=>1083979, "categories"=>["Biological Sciences"], "users"=>["Dale S. Bond", "J. Graham Thomas", "Hollie A. Raynor", "Jon Moon", "Jared Sieling", "Jennifer Trautvetter", "Tiffany Leblond", "Rena R. Wing"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100821.t001", "stats"=>{"downloads"=>1, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subject_characteristics_N_8202_8202_30_/1083979", "title"=>"Subject characteristics (N = 30).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-25 14:50:20"}
• {"files"=>["https://ndownloader.figshare.com/files/1564273"], "description"=>"<p>Note. Physical activity break conditions  = 3-min walking break after 30 continuous sedentary minutes; 6-min walking break after 60 continuous sedentary minutes, and 12-min walking break after 120 continuous sedentary minutes.</p><p>Values are presented as mean (95% CI) for % of daily waking hours and mean (95% CI; Cohen's d effect size) for baseline minutes and change in daily minutes from baseline.</p><p>For sedentary, light, and moderate-to-vigorous physical activity separately, values with different superscript letters indicate significant (<i>P</i><0.05) differences between groups based on planned comparisons.</p>", "links"=>[], "tags"=>["nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "health care", "Health care policy", "Public and occupational health", "Behavioral and social aspects of health", "Sports and exercise medicine", "spent", "sedentary", "baseline"], "article_id"=>1082652, "categories"=>["Biological Sciences"], "users"=>["Dale S. Bond", "J. Graham Thomas", "Hollie A. Raynor", "Jon Moon", "Jared Sieling", "Jennifer Trautvetter", "Tiffany Leblond", "Rena R. Wing"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100821.t002", "stats"=>{"downloads"=>2, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Time_spent_sedentary_and_active_during_baseline_and_the_3_physical_activity_break_conditions_/1082652", "title"=>"Time spent sedentary and active during baseline and the 3 physical activity break conditions.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-25 02:47:57"}
• {"files"=>["https://ndownloader.figshare.com/files/1564270"], "description"=>"<p>Flow diagram includes data on number of respondents to study advertisements, participant enrollment, number of participants who completed the study, and primary analysis.</p>", "links"=>[], "tags"=>["nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "health care", "Health care policy", "Public and occupational health", "Behavioral and social aspects of health", "Sports and exercise medicine", "diagram", "includes", "respondents", "completed"], "article_id"=>1082649, "categories"=>["Biological Sciences"], "users"=>["Dale S. Bond", "J. Graham Thomas", "Hollie A. Raynor", "Jon Moon", "Jared Sieling", "Jennifer Trautvetter", "Tiffany Leblond", "Rena R. Wing"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100821.g001", "stats"=>{"downloads"=>1, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Flow_diagram_includes_data_on_number_of_respondents_to_study_advertisements_participant_enrollment_number_of_participants_who_completed_the_study_and_primary_analysis_/1082649", "title"=>"Flow diagram includes data on number of respondents to study advertisements, participant enrollment, number of participants who completed the study, and primary analysis.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-25 02:47:57"}
• {"files"=>["https://ndownloader.figshare.com/files/1566484"], "description"=>"<p>Smartphone display when A) smartphone is activated and idle, B) an activity prompt is presented, C) the onboard accelerometer detects that the activity break goal has been accomplished, D) “Go lights” have been earned by performing activity breaks following activity prompts.</p>", "links"=>[], "tags"=>["nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "health care", "Health care policy", "Public and occupational health", "Behavioral and social aspects of health", "Sports and exercise medicine", "smartphone", "activated", "onboard", "accelerometer", "detects", "been", "earned", "performing", "breaks"], "article_id"=>1083978, "categories"=>["Biological Sciences"], "users"=>["Dale S. Bond", "J. Graham Thomas", "Hollie A. Raynor", "Jon Moon", "Jared Sieling", "Jennifer Trautvetter", "Tiffany Leblond", "Rena R. Wing"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100821.g002", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Smartphone_display_when_A_smartphone_is_activated_and_idle_B_an_activity_prompt_is_presented_C_the_onboard_accelerometer_detects_that_the_activity_break_goal_has_been_accomplished_D_8220_Go_lights_8221_have_been_earned_by_performing_activity_breaks_follo/1083978", "title"=>"Smartphone display when A) smartphone is activated and idle, B) an activity prompt is presented, C) the onboard accelerometer detects that the activity break goal has been accomplished, D) “Go lights” have been earned by performing activity breaks following activity prompts.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-25 14:50:20"}

PMC Usage Stats | Further Information

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• {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
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• {"unique-ip"=>"20", "full-text"=>"22", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
• {"unique-ip"=>"18", "full-text"=>"17", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
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• {"unique-ip"=>"17", "full-text"=>"17", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
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• {"unique-ip"=>"1", "full-text"=>"2", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"2"}
• {"unique-ip"=>"24", "full-text"=>"27", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
• {"unique-ip"=>"13", "full-text"=>"14", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
• {"unique-ip"=>"17", "full-text"=>"17", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
• {"unique-ip"=>"14", "full-text"=>"14", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
• {"unique-ip"=>"13", "full-text"=>"15", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
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Relative Metric

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F1000Prime