Literature DB >> 27654030

Novel technology to help understand the context of physical activity and sedentary behaviour.

Adam Loveday1, Lauren B Sherar, James P Sanders, Paul W Sanderson, Dale W Esliger.   

Abstract

When used in large, national surveillance programmes, objective measurement tools provide prevalence estimates of low physical activity guideline compliance and high amounts of sedentary time. There are undoubtedly a plethora of reasons for this but one possible contributing factor is the current lack of behavioural context offered by accelerometers and posture sensors. Context includes information such as where the behaviour occurs, the type of activity being performed and is vital in allowing greater refinement of intervention strategies. Novel technologies are emerging with the potential to provide this information. Example data from three ongoing studies is used to illustrate the utility of these technologies. Study one assesses the concurrent validity of electrical energy monitoring and wearable cameras as measures of television viewing. This study found that on average the television is switched on for 202 min d-1 but is visible in just 90 min of wearable camera images with a further 52 min where the participant is in their living room but the television is not visible in the image. Study two utilises indoor location monitoring to assess where older adult care home residents accumulate their sedentary time. This study found that residents were highly sedentary (sitting for an average of 720 min d-1) and spent the majority of their time in their own rooms with more time spent in communal areas in the morning than in the afternoon. Lastly, study three discusses the use of proximity sensors to quantify exposure to a height adjustable desk. These studies are example applications of this technology, with many other technologies available and applications possible. The adoption of these technologies will provide researchers with a more complete understanding of the behaviour than has previously been available.

Entities:  

Year:  2016        PMID: 27654030     DOI: 10.1088/0967-3334/37/10/1834

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  6 in total

1.  Sensor Fusion to Infer Locations of Standing and Reaching Within the Home in Incomplete Spinal Cord Injury.

Authors:  Luca Lonini; Timothy Reissman; Jose M Ochoa; Chaithanya K Mummidisetty; Konrad Kording; Arun Jayaraman
Journal:  Am J Phys Med Rehabil       Date:  2017-10       Impact factor: 2.159

2.  Using Bluetooth proximity sensing to determine where office workers spend time at work.

Authors:  Bronwyn K Clark; Elisabeth A Winkler; Charlotte L Brakenridge; Stewart G Trost; Genevieve N Healy
Journal:  PLoS One       Date:  2018-03-07       Impact factor: 3.240

3.  Remote blood pressure monitoring and behavioral intensification for stroke: A randomized controlled feasibility trial.

Authors:  Beom Joon Kim; Jong-Moo Park; Tai Hwan Park; Joungsim Kim; JongShill Lee; Keon-Joo Lee; JiSung Lee; Jae Eun Chae; Lehana Thabane; Juneyoung Lee; Hee-Joon Bae
Journal:  PLoS One       Date:  2020-03-11       Impact factor: 3.240

4.  Associations between the Home Physical Environment and Children's Home-Based Physical Activity and Sitting.

Authors:  Michael P Sheldrick; Clover Maitland; Kelly A Mackintosh; Michael Rosenberg; Lucy J Griffiths; Richard Fry; Gareth Stratton
Journal:  Int J Environ Res Public Health       Date:  2019-10-29       Impact factor: 3.390

5.  Home-Based Monitoring of Eating in Adolescents: A Pilot Study.

Authors:  Ghassan Idris; Claire Smith; Barbara Galland; Rachael Taylor; Christopher John Robertson; Mauro Farella
Journal:  Nutrients       Date:  2021-12-03       Impact factor: 5.717

Review 6.  Patterns of Sedentary Behavior among Older Adults in Care Facilities: A Scoping Review.

Authors:  Kin-Chung Wilson Leung; Kim-Wai Raymond Sum; Yi-Jian Yang
Journal:  Int J Environ Res Public Health       Date:  2021-03-08       Impact factor: 3.390

  6 in total

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