Home‐based monitoring of falls using wearable sensors in Parkinson's disease. Issue 1 (26th August 2019)
- Record Type:
- Journal Article
- Title:
- Home‐based monitoring of falls using wearable sensors in Parkinson's disease. Issue 1 (26th August 2019)
- Main Title:
- Home‐based monitoring of falls using wearable sensors in Parkinson's disease
- Authors:
- Silva de Lima, Ana Lígia
Smits, Tine
Darweesh, Sirwan K. L.
Valenti, Giulio
Milosevic, Mladen
Pijl, Marten
Baldus, Heribert
de Vries, Nienke M
Meinders, Marjan J.
Bloem, Bastiaan R. - Abstract:
- Abstract: Introduction: Falling is among the most serious clinical problems in Parkinson's disease (PD). We used body‐worn sensors (falls detector worn as a necklace) to quantify the hazard ratio of falls in PD patients in real life. Methods: We matched all 2063 elderly individuals with self‐reported PD to 2063 elderly individuals without PD based on age, gender, comorbidity, and living conditions. We analyzed fall events collected at home via a wearable sensor. Fall events were collected either automatically using the wearable falls detector or were registered by a button push on the same device. We extracted fall events from a 2.5‐year window, with an average follow‐up of 1.1 years. All falls included were confirmed immediately by a subsequent telephone call. The outcomes evaluated were (1) incidence rate of any fall, (2) incidence rate of a new fall after enrollment (ie, hazard ratio), and (3) 1‐year cumulative incidence of falling. Results: The incidence rate of any fall was higher among self‐reported PD patients than controls (2.1 vs. 0.7 falls/person, respectively; P < .0001). The incidence rate of a new fall after enrollment (ie, hazard ratio) was 1.8 times higher for self‐reported PD patients than controls (95% confidence interval, 1.6–2.0). Conclusion: Having PD nearly doubles the incidence of falling in real life. These findings highlight PD as a prime "falling disease." The results also point to the feasibility of using body‐worn sensors to monitor falls in dailyAbstract: Introduction: Falling is among the most serious clinical problems in Parkinson's disease (PD). We used body‐worn sensors (falls detector worn as a necklace) to quantify the hazard ratio of falls in PD patients in real life. Methods: We matched all 2063 elderly individuals with self‐reported PD to 2063 elderly individuals without PD based on age, gender, comorbidity, and living conditions. We analyzed fall events collected at home via a wearable sensor. Fall events were collected either automatically using the wearable falls detector or were registered by a button push on the same device. We extracted fall events from a 2.5‐year window, with an average follow‐up of 1.1 years. All falls included were confirmed immediately by a subsequent telephone call. The outcomes evaluated were (1) incidence rate of any fall, (2) incidence rate of a new fall after enrollment (ie, hazard ratio), and (3) 1‐year cumulative incidence of falling. Results: The incidence rate of any fall was higher among self‐reported PD patients than controls (2.1 vs. 0.7 falls/person, respectively; P < .0001). The incidence rate of a new fall after enrollment (ie, hazard ratio) was 1.8 times higher for self‐reported PD patients than controls (95% confidence interval, 1.6–2.0). Conclusion: Having PD nearly doubles the incidence of falling in real life. These findings highlight PD as a prime "falling disease." The results also point to the feasibility of using body‐worn sensors to monitor falls in daily life. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society. … (more)
- Is Part Of:
- Movement disorders. Volume 35:Issue 1(2020)
- Journal:
- Movement disorders
- Issue:
- Volume 35:Issue 1(2020)
- Issue Display:
- Volume 35, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 35
- Issue:
- 1
- Issue Sort Value:
- 2020-0035-0001-0000
- Page Start:
- 109
- Page End:
- 115
- Publication Date:
- 2019-08-26
- Subjects:
- falls incidence -- home‐based monitoring -- Parkinson's disease -- wearable sensor
Movement disorders -- Periodicals
610 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1531-8257 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/mds.27830 ↗
- Languages:
- English
- ISSNs:
- 0885-3185
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5980.317200
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British Library HMNTS - ELD Digital store - Ingest File:
- 17298.xml