ArticleJMIR mHealth and uHealth2014
Measuring the lifespace of people with Parkinson's disease using smartphones: proof of principle.
Article in JMIR mHealth and uHealth, 2014. 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, 85 citations in OpenAlex.
- Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson's Disease in the Home or a Home-like Environment.Journal of Parkinson's disease · 2020Pooled it
- Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations.JMIR mHealth and uHealth · 2019Pooled it
- Are Mobile Persons With Parkinson Disease Necessarily More Active?Journal of neurologic physical therapy : JNPT · 2021Trial
- Change in GPS-assessed walking locations following a cluster-randomized controlled physical activity trial in older adults, results from the MIPARC trial.Health & place · 2021Trial
- Elderly Activity Life-Space Envelopes (EASE): Development and Feasibility of a Comprehensive, Integrated Protocol for Life-Space Mobility Research in Population Health.JMIR research protocols · 2025Article
- Changes in lifespace and participation in community-based occupations of people with acquired brain injury: A mixed methods exploration 6 months following occupational therapy driving assessment.Australian occupational therapy journal · 2025Article
- Using a smartwatch and smartphone to assess early Parkinson's disease in the WATCH-PD study over 12 months.NPJ Parkinson's disease · 2024Article
- Remote smartphone monitoring of Parkinson's disease and individual response to therapy.Nature biotechnology · 2022Observational
- Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Digital Technology in Movement Disorders: Updates, Applications, and Challenges.Current neurology and neuroscience reports · 2021Review
- Design of a virtual longitudinal observational study in Parkinson's disease (AT-HOME PD).Annals of clinical and translational neurology · 2021Observational
- The Temporal Relationship Between Ecological Pain and Life-Space Mobility in Older Adults With Knee Osteoarthritis: A Smartwatch-Based Demonstration Study.JMIR mHealth and uHealth · 2021Article
- Comparing GPS-Based Community Mobility Measures with Self-report Assessments in Older Adults with Parkinson's Disease.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020Article
- Deep Phenotyping of Parkinson's Disease.Journal of Parkinson's disease · 2020Review
- Impact of deep brain stimulation on people with Parkinson's disease: A mixed methods feasibility study exploring lifespace and community outcomes.Hong Kong journal of occupational therapy : HKJOT · 2019Article
- Assessing Older Adults' Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators.Sensors (Basel, Switzerland) · 2019Article
- Adapting Mobile and Wearable Technology to Provide Support and Monitoring in Rehabilitation for Dementia: Feasibility Case Series.JMIR formative research · 2019Article
- Development of a Sensor-Based Behavioral Monitoring Solution to Support Dementia Care.JMIR mHealth and uHealth · 2019Article
- Assessing life-space mobility for a more holistic view on wellbeing in geriatric research and clinical practice.Aging clinical and experimental research · 2019Review
- Predictors of real-life mobility in community-dwelling older adults: an exploration based on a comprehensive framework for analyzing mobility.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLifespace is a multidimensional construct that describes the geographic area in which a person lives and conducts their activities, and reflects mobility, health, and well-being. Traditionally, it has been measured by asking older people to self-report the length and frequency of trips taken and assistance required. Global Positioning System (GPS) sensors on smartphones have been used to measure Lifespace of older people, but not with people with Parkinson's disease (PD).
objectiveThe objective of this study was to investigate whether GPS data collected via smartphones could be used to indicate the Lifespace of people with PD.
methodsThe dataset was supplied via the Michael J Fox Foundation Data Challenge and included 9 people with PD and 7 approximately matched controls. Participants carried smartphones with GPS sensors over two months. Data analysis compared the PD group and the control group. The impact of symptom severity on Lifespace was also investigated.
resultsVisualization methods for comparing Lifespace were developed including scatterplots and heatmaps. Lifespace metrics for comparison included average daily distance, percentage of time spent at home, and number of trips into the community. There were no significant differences between the PD and the control groups on Lifespace metrics. Visual representations of Lifespace were organized based on the self-reported severity of symptoms, suggesting a trend of decreasing Lifespace with increasing PD symptoms.
conclusionsLifespace measured by GPS-enabled smartphones may be a useful concept to measure the progression of PD and the impact of various therapies and rehabilitation programs. Directions for future use of GPS-based Lifespace are provided.
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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.