SynthesisJournal of medical Internet research2015
Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review.
Synthesis in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.
- Activity spaces in studies of the environment and physical activity: A review and synthesis of implications for causality.Health & place · 2019Pooled it
- Revealed Preference Methods for Studying Bicycle Route Choice-A Systematic Review.International journal of environmental research and public health · 2018Pooled it
- Assessing nature exposure: a study on the reliability and validity of a Portuguese version of the nature exposure scale.Frontiers in psychology · 2024Article
- Impact of Hospital Characteristics and Governance Structure on the Adoption of Tracking Technologies for Clinical and Supply Chain Use: Longitudinal Study of US Hospitals.Journal of medical Internet research · 2022Review
- Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study.JMIR pediatrics and parenting · 2022Article
- Using Wearable Cameras to Investigate Health-Related Daily Life Experiences: A Literature Review of Precautions and Risks in Empirical Studies.Research ethics · 2022Article
- Virtual Fence System Based on IoT Paradigm to Prevent Occupational Accidents in the Construction Sector.International journal of environmental research and public health · 2021Article
- An empirical example of analysis using a two-stage modeling approach: within-subject association of outdoor context and physical activity predicts future daily physical activity levels.Translational behavioral medicine · 2021Article
- Accuracy of Sedentary Behavior-Triggered Ecological Momentary Assessment for Collecting Contextual Information: Development and Feasibility Study.JMIR mHealth and uHealth · 2020Article
- The Current and Retrospective Intentional Nature Exposure Scales: Development and Factorial Validity.International journal of environmental research and public health · 2019Article
- Associations between the Home Physical Environment and Children's Home-Based Physical Activity and Sitting.International journal of environmental research and public health · 2019Observational
- Can Wearable Cameras be Used to Validate School-Aged Children's Lifestyle Behaviours?Children (Basel, Switzerland) · 2019Article
- Associations of context-specific sitting time with markers of cardiometabolic risk in Australian adults.The international journal of behavioral nutrition and physical activity · 2018Article
- A Cardiopulmonary Monitoring System for Patient Transport Within Hospitals Using Mobile Internet of Things Technology: Observational Validation Study.JMIR mHealth and uHealth · 2018Article
- Establishing a Demographic, Development and Environmental Geospatial Surveillance Platform in India: Planning and Implementation.JMIR public health and surveillance · 2018Article
- Unique Views on Obesity-Related Behaviors and Environments: Research Using Still and Video Images.Journal for the measurement of physical behaviour · 2018Article
- Comparing the Data Quality of Global Positioning System Devices and Mobile Phones for Assessing Relationships Between Place, Mobility, and Health: Field Study.JMIR mHealth and uHealth · 2018Article
- The association of smartphone-based activity space measures with cognitive functioning and pain sickle cell disease.British journal of haematology · 2018Article
- A Novel Algorithm for Determining the Contextual Characteristics of Movement Behaviors by Combining Accelerometer Features and Wireless Beacons: Development and Implementation.JMIR mHealth and uHealth · 2018Article
- Improving interpretation of publically reported statistics on health and healthcare: the Figure Interpretation Assessment Tool (FIAT-Health).Health research policy and systems · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe location in which physical activity and sedentary behavior are performed can provide valuable behavioral information, both in isolation and synergistically with other areas of physical activity and sedentary behavior research. Global positioning systems (GPS) have been used in physical activity research to identify outdoor location; however, while GPS can receive signals in certain indoor environments, it is not able to provide room- or subroom-level location. On average, adults spend a high proportion of their time indoors. A measure of indoor location would, therefore, provide valuable behavioral information.
objectiveThis systematic review sought to identify and critique technology which has been or could be used to assess the location of physical activity and sedentary behavior.
methodsTo identify published research papers, four electronic databases were searched using key terms built around behavior, technology, and location. To be eligible for inclusion, papers were required to be published in English and describe a wearable or portable technology or device capable of measuring location. Searches were performed up to February 4, 2015. This was supplemented by backward and forward reference searching. In an attempt to include novel devices which may not yet have made their way into the published research, searches were also performed using three Internet search engines. Specialized software was used to download search results and thus mitigate the potential pitfalls of changing search algorithms.
resultsA total of 188 research papers met the inclusion criteria. Global positioning systems were the most widely used location technology in the published research, followed by wearable cameras, and radio-frequency identification. Internet search engines identified 81 global positioning systems, 35 real-time locating systems, and 21 wearable cameras. Real-time locating systems determine the indoor location of a wearable tag via the known location of reference nodes. Although the type of reference node and location determination method varies between manufacturers, Wi-Fi appears to be the most popular method.
conclusionsThe addition of location information to existing measures of physical activity and sedentary behavior will provide important behavioral information.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.