Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables.
about
Unique contributions of ISCOLE to the advancement of accelerometry in large studiesA step-defined sedentary lifestyle index: <5000 steps/daySmartphone apps to improve fitness and increase physical activity among young people: protocol of the Apps for IMproving FITness (AIMFIT) randomized controlled trialValidity and reliability of a modified english version of the physical activity questionnaire for adolescents.Effect of Wearable Technology Combined With a Lifestyle Intervention on Long-term Weight Loss: The IDEA Randomized Clinical Trial.Classification of occupational activity categories using accelerometry: NHANES 2003-2004Feasibility study to objectively assess activity and location of Hispanic preschoolers: a short communicationCharacteristics associated with requested and required accelerometer wear in childrenAccelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.A childhood obesity intervention developed by families for families: results from a pilot study.Comparison of physical activity and sedentary behaviours between young haemophilia A patients and healthy adolescents.Reporting the reliability of accelerometer data with and without missing values.Evaluation of 2 self-report measures of physical activity with accelerometry in young adultsComparison of 3 measures of physical activity and associations with blood pressure, HDL, and body composition in a sample of adolescents.Physical inactivity, neurological disability, and cardiorespiratory fitness in multiple sclerosisActivity patterns of obese adults with type 2 diabetes in the look AHEAD study.The Active for Life Year 5 (AFLY5) school-based cluster randomised controlled trial protocol: detailed statistical analysis planImpact of accelerometer wear time on physical activity data: a NHANES semisimulation data approach.Emerging technologies for assessing physical activity behaviors in space and time.Association of physical activity in the past year and immediately after in vitro fertilization on pregnancy.Sedentary behavior and health outcomes among older adults: a systematic reviewAccelerometer measurement of upper extremity movement after stroke: a systematic review of clinical studies.Walking objectively measured: classifying accelerometer data with GPS and travel diaries.Quality control methods in accelerometer data processing: defining minimum wear timeAccelerometer data reduction in adolescents: effects on sample retention and biasQuality control methods in accelerometer data processing: identifying extreme countsPhysical activity and metabolic health in chronic kidney disease: a cross-sectional study.From sedentary time to sedentary patterns: accelerometer data reduction decisions in youth.Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study.Modelling a response as a function of high-frequency count data: The association between physical activity and fat mass.Does the fractionalization of daily physical activity (sporadic vs. bouts) impact cardiometabolic risk factors in children and youth?Evidence for data missing at random in youth physical activity monitoring research.Comparison of physical activity measures using mobile phone-based CalFit and ActigraphApps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled TrialFeasibility, design and conduct of a pragmatic randomized controlled trial to reduce overweight and obesity in children: The electronic games to aid motivation to exercise (eGAME) study.High resolution MEMS accelerometers to estimate VO2 and compare running mechanics between highly trained inter-collegiate and untrained runnersInfluence of socio-economic status on habitual physical activity and sedentary behavior in 8- to 11-year old children.Increasing specificity of correlate research: exploring correlates of children's lunchtime and after-school physical activity.Identifying accelerometer nonwear and wear time in older adultsInterruption in physical activity bout analysis: an accelerometry research issue.
P2860
Q26751801-BEC0534A-C455-4AE8-9D25-F9BC17E3D50DQ26998150-FC11C675-C98D-424B-AA61-3B02F1B5AECBQ27310775-5C86FEBC-E607-45F8-86E0-F494FD353EE0Q27319815-19FFB5D5-5AFD-4C6F-869D-F943814C12F9Q28005459-91848F99-C4C8-4EDB-ABEB-891FFA0BAB6BQ28383114-2385F0BA-D664-44CE-B54F-C58FC8B23C38Q28388600-EFA0855A-4265-4C7B-9966-6ECC0F38C282Q28681471-C1D37AC8-C095-4251-9D92-06BC5DA3CB23Q30235236-2BFDD864-063A-4763-B64D-419A4A55B198Q30394376-4941CCC2-9A69-4A5E-B183-287EF092FF9FQ30399404-D5682935-7DBB-48E2-9018-830B80C06B2EQ30409136-660A97FE-687F-4317-8AF3-7264F62C966FQ30415536-BA84F696-0191-48E6-B1B0-342F04FB5C15Q30421864-E8DC1F15-AA8C-4F21-8916-78ED5332C859Q30431190-11684827-DD38-45B8-9DBA-B01B89C11AB6Q30496729-EE339C06-E783-4A61-9825-12C92EBB2296Q30542195-AAC3487F-C90B-4EB0-8291-0F856518A8E1Q30560172-EE806362-839A-459E-A45E-BFC136A9BCCBQ30569738-BC7324D0-42A8-4CD5-B52B-B0A9485D1AC7Q30575855-A4BBBF5F-D777-4429-8316-ADDB0DE56AB6Q30578023-57318203-5155-4C40-BD98-D747B1A64940Q30592410-ED30A820-21BC-4747-AE3E-3DC53C9C6316Q30594056-E0F17602-F5E0-4CE6-8454-0DE2CF5E4F79Q30653389-882BBAD1-318D-4077-8111-3FEB46C8C2E4Q30721257-AAEF3770-87BE-418E-AB7E-00841C7CB16FQ30740494-7C855AFA-9333-4F89-917E-DF8A035CBC01Q30829502-7F0B2CD8-D1EB-4B82-8F88-A1140EF8C4FEQ30867454-40440543-9CB0-4FF9-9F46-FBB64109A6B9Q30871595-701757C3-AF87-4FB2-A662-B5207E791347Q30981335-6C9DEA2D-C540-464D-BDA2-6125BBEE5D76Q31037238-4CA6D6CB-4957-41C0-9410-AD4B409A540DQ31075258-1194847D-01FA-48FD-A84C-FCA3A61EDCC6Q33439892-18CA87F6-07E1-413E-9CBC-E72665732932Q33444909-6B9B2E6E-5045-4825-B0C1-5F4ED9C28453Q33446506-BC3B6FFF-08A2-46E9-BE77-1A92E64576FCQ33508826-61008122-63D2-47C3-B9F9-FF468896988CQ33566275-413B206E-FF3A-4D72-AF07-AB8D8BCA7518Q33583949-A71C8A10-56EF-4702-BD29-4F6A3E9982BEQ33589703-F2E0394E-BCE9-42BE-BAF5-A058578C9518Q33602112-EE118142-3192-4EFA-96B2-B279EFEEAFD7
P2860
Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables.
description
2005 nî lūn-bûn
@nan
2005 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Accelerometer data reduction: ...... s on select outcome variables.
@ast
Accelerometer data reduction: ...... s on select outcome variables.
@en
type
label
Accelerometer data reduction: ...... s on select outcome variables.
@ast
Accelerometer data reduction: ...... s on select outcome variables.
@en
prefLabel
Accelerometer data reduction: ...... s on select outcome variables.
@ast
Accelerometer data reduction: ...... s on select outcome variables.
@en
P2093
P1476
Accelerometer data reduction: ...... s on select outcome variables.
@en
P2093
Bernard F Fuemmeler
Cheryl B Anderson
Diane J Catellier
Louise C Mâsse
Margarita Treuth
P304
P356
10.1249/01.MSS.0000185674.09066.8A
P433
P577
2005-11-01T00:00:00Z