Literature DB >> 30043234

Mapping Movement: Applying Motion Measurement Technologies to the Psychiatric Care of Older Adults.

Stephanie Collier1,2, Patrick Monette1, Katherine Hobbs1, Edward Tabasky1,3, Brent P Forester1,2, Ipsit V Vahia4,5.   

Abstract

PURPOSE OF REVIEW: Recent advances in technology have changed the landscape of treatment for adults with mental illness. This review highlights technological innovations that may improve care for older adults with mental illness and neurocognitive disorders through the measurement and assessment of physical motion. These technologies include wearable sensors (such as smart watches and Fitbits), passive motion sensors, and smart home models that incorporate both active and passive motion technologies. RECENT
FINDINGS: Clinicians have evaluated motion measurement technologies in older adults with depression, dementia, anxiety, and schizophrenia. Results from studies in dementia populations suggest that motion measurement technologies can assist clinicians in diagnosing dementia earlier through the evaluation of gait, balance, and postural kinematics. Motion detection technologies can also be used to identify mood episodes at an earlier stage by detecting subtle behavioral changes. Clinicians may use the objective data provided by technologies such as accelerometers to identify illnesses earlier, which may inform treatment decisions. The data may be used as a suitable surrogate marker for detecting depression in older adults, predicting the likelihood of falls, or quantifying physical activity in older adults with chronic mental illnesses or anxiety. Motion-based technologies also have the potential to detect physical activity for older adults residing in nursing homes. Wearable technologies are generally well tolerated in older adults, although the use of new technology and electronic health data could involve privacy and security concerns among this vulnerable population.

Entities:  

Keywords:  Data; Dementia; Motion; Older adults; Technology

Mesh:

Year:  2018        PMID: 30043234     DOI: 10.1007/s11920-018-0921-z

Source DB:  PubMed          Journal:  Curr Psychiatry Rep        ISSN: 1523-3812            Impact factor:   5.285


  49 in total

1.  Monitoring mobility in older adults using global positioning system (GPS) watches and accelerometers: a feasibility study.

Authors:  Sandra C Webber; Michelle M Porter
Journal:  J Aging Phys Act       Date:  2009-10       Impact factor: 1.961

2.  Late-Life Depression: A Role for Accelerometer Technology in Diagnosis and Management.

Authors:  Ipsit V Vahia; Daniel D Sewell
Journal:  Am J Psychiatry       Date:  2016-08-01       Impact factor: 18.112

Review 3.  The quality of life of older people aging in place: a literature review.

Authors:  Patricia Vanleerberghe; Nico De Witte; Claudia Claes; Robert L Schalock; Dominique Verté
Journal:  Qual Life Res       Date:  2017-07-13       Impact factor: 4.147

4.  Insomnia and objectively measured sleep disturbances predict treatment outcome in depressed patients treated with psychotherapy or psychotherapy-pharmacotherapy combinations.

Authors:  Wendy M Troxel; David J Kupfer; Charles F Reynolds; Ellen Frank; Michael E Thase; Jean M Miewald; Daniel J Buysse
Journal:  J Clin Psychiatry       Date:  2011-11-29       Impact factor: 4.384

5.  Effect of a robotic seal on the motor activity and sleep patterns of older people with dementia, as measured by wearable technology: A cluster-randomised controlled trial.

Authors:  Wendy Moyle; Cindy Jones; Jenny Murfield; Lukman Thalib; Elizabeth Beattie; David Shum; Siobhan O'Dwyer; M Cindy Mervin; Brian Draper
Journal:  Maturitas       Date:  2018-01-13       Impact factor: 4.342

Review 6.  Increasing trend of wearables and multimodal interface for human activity monitoring: A review.

Authors:  Preeti Kumari; Lini Mathew; Poonam Syal
Journal:  Biosens Bioelectron       Date:  2016-12-02       Impact factor: 10.618

7.  Falls and fractures in patients with Alzheimer-type dementia.

Authors:  D M Buchner; E B Larson
Journal:  JAMA       Date:  1987-03-20       Impact factor: 56.272

Review 8.  Assessing Daily Physical Activity in Older Adults: Unraveling the Complexity of Monitors, Measures, and Methods.

Authors:  Jennifer A Schrack; Rachel Cooper; Annemarie Koster; Eric J Shiroma; Joanne M Murabito; W Jack Rejeski; Luigi Ferrucci; Tamara B Harris
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2016-03-08       Impact factor: 6.053

9.  The relationship between outdoor activity and health in older adults using GPS.

Authors:  Jacqueline Kerr; Simon Marshall; Suneeta Godbole; Suvi Neukam; Katie Crist; Kari Wasilenko; Shahrokh Golshan; David Buchner
Journal:  Int J Environ Res Public Health       Date:  2012-12       Impact factor: 3.390

10.  Physical activity and fitness are associated with verbal memory, quality of life and depression among nursing home residents: preliminary data of a randomized controlled trial.

Authors:  Haritz Arrieta; Chloe Rezola-Pardo; Iñaki Echeverria; Miren Iturburu; Susana Maria Gil; Jose Javier Yanguas; Jon Irazusta; Ana Rodriguez-Larrad
Journal:  BMC Geriatr       Date:  2018-03-27       Impact factor: 3.921

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  3 in total

1.  Motion mapping in humans as a biomarker for psychiatric disorders.

Authors:  Ipsit V Vahia; Brent P Forester
Journal:  Neuropsychopharmacology       Date:  2019-01       Impact factor: 7.853

2.  Understanding Pain and Agitation Through System Analysis Algorithms in People With Dementia. A Novel Explorative Approach by the DIGI.PAIN Study.

Authors:  Bettina S Husebo; Maarja Vislapuu; Malgorzata A Cyndecka; Manal Mustafa; Monica Patrascu
Journal:  Front Pain Res (Lausanne)       Date:  2022-03-17

3.  Association of genetic liability for psychiatric disorders with accelerometer-assessed physical activity in the UK Biobank.

Authors:  Charlotte A Dennison; Sophie E Legge; Matthew Bracher-Smith; Georgina Menzies; Valentina Escott-Price; Daniel J Smith; Aiden R Doherty; Michael J Owen; Michael C O'Donovan; James T R Walters
Journal:  PLoS One       Date:  2021-03-26       Impact factor: 3.240

  3 in total

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