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

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.

[1]  Karla Conn Welch,et al.  A review of electricity monitoring and feedback systems , 2011, 2011 Proceedings of IEEE Southeastcon.

[2]  Thea J. M. Kooiman,et al.  Reliability and validity of ten consumer activity trackers , 2015, BMC Sports Science, Medicine and Rehabilitation.

[3]  Y. Xiang,et al.  Association Between Television Viewing Time and All-Cause Mortality: A Meta-Analysis of Cohort Studies. , 2015, American journal of epidemiology.

[4]  Kalyan S. Pasupathy,et al.  Wearable Sociometers in Chaotic Simulated Environments , 2015 .

[5]  D C Ranasinghe,et al.  Low cost and batteryless sensor-enabled radio frequency identification tag based approaches to identify patient bed entry and exit posture transitions. , 2014, Gait & posture.

[6]  D. Warburton,et al.  Health benefits of physical activity: the evidence , 2006, Canadian Medical Association Journal.

[7]  Alison L Marshall,et al.  Measuring total and domain-specific sitting: a study of reliability and validity. , 2009, Medicine and science in sports and exercise.

[8]  T. Dummer,et al.  Spatial classification of youth physical activity patterns. , 2012, American journal of preventive medicine.

[9]  B. Knechtle,et al.  Do non-elite older runners slow down more than younger runners in a 100 km ultra-marathon? , 2015, BMC Sports Science, Medicine and Rehabilitation.

[10]  Steve E Hodges,et al.  Wearable cameras in health: the state of the art and future possibilities. , 2013, American journal of preventive medicine.

[11]  S. Michie,et al.  The behaviour change wheel: A new method for characterising and designing behaviour change interventions , 2011, Implementation science : IS.

[12]  Jane Wardle,et al.  Indoor Tracking to Understand Physical Activity and Sedentary Behaviour: Exploratory Study in UK Office Buildings , 2015, PloS one.

[13]  D. Dunstan,et al.  Providing NHS staff with height-adjustable workstations and behaviour change strategies to reduce workplace sitting time: protocol for the Stand More AT (SMArT) Work cluster randomised controlled trial , 2015, BMC Public Health.

[14]  Jolanda Maas,et al.  Schoolyard physical activity of 6–11 year old children assessed by GPS and accelerometry , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[15]  P. Dagnelie,et al.  Associations of total amount and patterns of sedentary behaviour with type 2 diabetes and the metabolic syndrome: The Maastricht Study , 2016, Diabetologia.

[16]  P. Kelly,et al.  Evaluating the Feasibility of Measuring Travel to School Using a Wearable Camera , 2012, American journal of preventive medicine.

[17]  Navin Kaushal,et al.  The home physical environment and its relationship with physical activity and sedentary behavior: a systematic review. , 2014, Preventive medicine.

[18]  Andy P. Jones,et al.  What can global positioning systems tell us about the contribution of different types of urban greenspace to children's physical activity? , 2012, Health & place.

[19]  Claude Bouchard,et al.  Trends over 5 Decades in U.S. Occupation-Related Physical Activity and Their Associations with Obesity , 2011, PloS one.

[20]  Steve Hodges,et al.  Can we use digital life-log images to investigate active and sedentary travel behaviour? Results from a pilot study , 2011, The international journal of behavioral nutrition and physical activity.

[21]  S. Marshall,et al.  An ethical framework for automated, wearable cameras in health behavior research. , 2013, American journal of preventive medicine.

[22]  C. Tudor-Locke,et al.  Changing the way we work: elevating energy expenditure with workstation alternatives , 2014, International Journal of Obesity.

[23]  Russell Jago,et al.  Systematic review of correlates of screen-viewing among young children. , 2010, Preventive medicine.

[24]  Laura Davis,et al.  Mapping the walk to school using accelerometry combined with a global positioning system. , 2010, American journal of preventive medicine.

[25]  P. Hall,et al.  Temporal self-regulation theory: A model for individual health behavior , 2007 .

[26]  B. Ainsworth,et al.  International physical activity questionnaire: 12-country reliability and validity. , 2003, Medicine and science in sports and exercise.

[27]  Lars Wallin,et al.  Individual determinants of research utilization by nurses: a systematic review update , 2011, Implementation science : IS.

[28]  F. Hu,et al.  Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. , 2011, JAMA.

[29]  B. Fjeldsoe,et al.  Organizational-Level Strategies With or Without an Activity Tracker to Reduce Office Workers’ Sitting Time: Rationale and Study Design of a Pilot Cluster-Randomized Trial , 2016, JMIR research protocols.

[30]  K. Khunti,et al.  Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis , 2012, Diabetologia.

[31]  J. Staudenmayer,et al.  Validation of wearable monitors for assessing sedentary behavior. , 2011, Medicine and science in sports and exercise.

[32]  Edmund Seto,et al.  A study of community design, greenness, and physical activity in children using satellite, GPS and accelerometer data. , 2012, Health & place.

[33]  David Ogilvie,et al.  Use of global positioning systems to study physical activity and the environment: a systematic review. , 2011, American journal of preventive medicine.

[34]  E. Adams,et al.  Knowledge of physical activity recommendations in adults employed in England: associations with individual and workplace-related predictors , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[35]  W. H. Engelmann,et al.  The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants , 2001, Journal of Exposure Analysis and Environmental Epidemiology.

[36]  Hirani,et al.  Health Survey for England 2008: Physical activity and fitness , 2009 .

[37]  D. Dunstan,et al.  The sedentary office : a growing case for change towards better health and productivity Expert statement commissioned by Public Health England and Active Working C.I.C. , 2015 .

[38]  Laura J. Gray,et al.  Association of Sedentary Behaviour with Metabolic Syndrome: A Meta-Analysis , 2012, PloS one.

[39]  C. Matthews,et al.  Too much sitting: the population health science of sedentary behavior. , 2010, Exercise and sport sciences reviews.

[40]  Natalie Pearson,et al.  Sedentary behavior and dietary intake in children, adolescents, and adults. A systematic review. , 2011, American journal of preventive medicine.

[41]  Charlotte L Edwardson,et al.  Office Workers' Objectively Measured Sedentary Behavior and Physical Activity During and Outside Working Hours , 2014, Journal of occupational and environmental medicine.

[42]  Genevieve N Healy,et al.  Prolonged sedentary time and physical activity in workplace and non-work contexts: a cross-sectional study of office, customer service and call centre employees , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[43]  P. Freedson,et al.  Amount of time spent in sedentary behaviors in the United States, 2003-2004. , 2008, American journal of epidemiology.

[44]  P. Katzmarzyk,et al.  The physical activity transition. , 2009, Journal of physical activity & health.

[45]  A. Forster,et al.  Levels and patterns of daily physical activity and sedentary behavior measured objectively in older care home residents in the United Kingdom. , 2015, Journal of aging and physical activity.

[46]  Trish Gorely,et al.  A descriptive epidemiology of screen-based media use in youth: a review and critique. , 2006, Journal of adolescence.

[47]  A. Cooper,et al.  Greenspace and children's physical activity: a GPS/GIS analysis of the PEACH project. , 2010, Preventive medicine.

[48]  Jacqueline Kerr,et al.  Context-Specific Outdoor Time and Physical Activity among School-Children Across Gender and Age: Using Accelerometers and GPS to Advance Methods , 2014, Front. Public Health.

[49]  C. Matthews,et al.  Measurement of adults' sedentary time in population-based studies. , 2011, American journal of preventive medicine.

[50]  Richard Larouche,et al.  Systematic review of sedentary behaviour and health indicators in school-aged children and youth , 2011, The international journal of behavioral nutrition and physical activity.

[51]  Kalyan S. Pasupathy,et al.  Asset management in healthcare: Evaluation of RFID , 2014 .

[52]  D. Alter,et al.  Sedentary Time and Its Association With Risk for Disease Incidence, Mortality, and Hospitalization in Adults , 2015, Annals of Internal Medicine.

[53]  R. Maddison,et al.  Global positioning system: a new opportunity in physical activity measurement , 2009, The international journal of behavioral nutrition and physical activity.

[54]  Angie S Page,et al.  Contribution of the school journey to daily physical activity in children aged 11-12 years. , 2012, American Journal of Preventive Medicine.

[55]  Weifeng Lu,et al.  Television watching and risk of childhood obesity: a meta-analysis. , 2016, European journal of public health.

[56]  Hannah Badland,et al.  Use of wearable cameras to assess population physical activity behaviours: an observational study , 2012, The Lancet.

[57]  Mustafa Y. Sir,et al.  Intelligent Emergency Department: Validation of Sociometers to Study Workload , 2016, Journal of Medical Systems.

[58]  Ulf Ekelund,et al.  Guide to the assessment of physical activity: Clinical and research applications: a scientific statement from the American Heart Association. , 2013, Circulation.

[59]  G. Welk,et al.  Context of Physical Activity in a Representative Sample of Adults. , 2015, Medicine and science in sports and exercise.

[60]  Hannah Badland,et al.  Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[61]  N. Owen,et al.  Reducing occupational sedentary time: a systematic review and meta‐analysis of evidence on activity‐permissive workstations , 2014, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[62]  B. Franklin,et al.  American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. , 2011, Medicine and science in sports and exercise.

[63]  Charles E Matthews,et al.  Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[64]  G. Stratton,et al.  A place for play? The influence of the home physical environment on children’s physical activity and sedentary behaviour , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[65]  Hoon Ko,et al.  A Study on the Secure User Profiling Structure and Procedure for Home Healthcare Systems , 2015, Journal of Medical Systems.

[66]  Ulf Ekelund,et al.  Objectively measured physical activity in four-year-old British children: a cross-sectional analysis of activity patterns segmented across the day , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[67]  Genevieve N Healy,et al.  Sit-stand workstations: a pilot intervention to reduce office sitting time. , 2012, American journal of preventive medicine.

[68]  Philip J Troped,et al.  Portable global positioning units to complement accelerometry-based physical activity monitors. , 2005, Medicine and science in sports and exercise.

[69]  W. Zijlstra,et al.  EURAPA moves to open access: Research trends and challenges in physical activity in old age , 2015, European Review of Aging and Physical Activity.

[70]  S. Marshall,et al.  Measurement of television viewing in children and adolescents: a systematic review , 2007, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[71]  Matthew P Buman,et al.  Twenty-four Hours of Sleep, Sedentary Behavior, and Physical Activity with Nine Wearable Devices. , 2016, Medicine and science in sports and exercise.

[72]  M. Buman,et al.  Abstract P128: A New Device for Objective Measurement of Sedentary Behavior , 2014 .

[73]  S. Marshall,et al.  Methods of Measurement in epidemiology: sedentary Behaviour. , 2012, International journal of epidemiology.

[74]  S. Marshall,et al.  Using the SenseCam to improve classifications of sedentary behavior in free-living settings. , 2013, American journal of preventive medicine.

[75]  Takemi Sugiyama,et al.  Validity and reliability of measures of television viewing time and other non‐occupational sedentary behaviour of adults: a review , 2009, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[76]  D. Dunstan,et al.  The sedentary office: an expert statement on the growing case for change towards better health and productivity , 2015, British Journal of Sports Medicine.

[77]  Lauren B Sherar,et al.  Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review , 2015, Journal of medical Internet research.

[78]  Michelle Daley,et al.  The effectiveness of sit-stand workstations for changing office workers’ sitting time: results from the Stand@Work randomized controlled trial pilot , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[79]  Kelly R Evenson,et al.  Assessing the contribution of parks to physical activity using global positioning system and accelerometry. , 2013, Medicine and science in sports and exercise.

[80]  L. Mâsse,et al.  Physical activity in the United States measured by accelerometer. , 2008, Medicine and science in sports and exercise.

[81]  Dawn A. Skelton,et al.  Exploring the context of sedentary behaviour in older adults (what, where, why, when and with whom) , 2015, European Review of Aging and Physical Activity.