Literature DB >> 27585706

Sensor-based assessment of mobility-related behavior in dementia: feasibility and relevance in a hospital context.

Tim Fleiner1, Peter Haussermann2, Sabato Mellone3, Wiebren Zijlstra2.   

Abstract

BACKGROUND: The assessment of patients' motor behavior is a key challenge in dementia care. Common geriatric assessment questionnaires or actigraphy measurements often lack methodological quality and are unsuitable to individually tailor interventions. Hence, there is a need for developing objective tools to assess patterns of motor behavior. Therefore, the feasibility of a sensor-based assessment of mobility-related behavior in patients with dementia is investigated.
METHODS: A cross-sectional investigation on three dementia care wards in a psychiatric hospital was conducted. Forty-five patients with stages of dementia were included. Hybrid motion sensors, recording the sequence of body-postures, were attached on the patients' lower back for 72 consecutive hours.
RESULTS: Eighty-nine percent of the assessment periods were completed. On average patients spent 10.9 h/day lying (45%), 9.7 h/day sedentary while sitting or standing (41%), 1.7 h/day active while sitting or standing (7%), 1.7 h/day walking (7%), and reached on average 8,829 steps per day (SD = 7,428). Though overall activity levels were low, the results indicate a wide spectrum of activity patterns - ranging from almost inactive to highly active with general restlessness and wandering behavior.
CONCLUSION: The excellent adherence to the assessment protocol compared to wrist-worn actigraphy and the consistency of the sensor-derived analyses with clinical observations are pivotal findings of this study. These results show that it is possible to acquire objective data on individual motor behavior of patients suffering from dementia. This information is essential for tailoring the therapeutic management of these patients in a hospital context.

Entities:  

Keywords:  body-worn motion sensors; circadian motor behavior; geriatric assessment; hospital dementia care

Mesh:

Year:  2016        PMID: 27585706     DOI: 10.1017/S1041610216001034

Source DB:  PubMed          Journal:  Int Psychogeriatr        ISSN: 1041-6102            Impact factor:   3.878


  14 in total

1.  Influence of upper limb activity on the step count and accuracy of sleep time of a wristband-type physical activity tracker.

Authors:  Nobuyuki Sano; Takanori Taniguchi; Hisato Nakazono
Journal:  PLoS One       Date:  2022-07-08       Impact factor: 3.752

2.  Relationship Between Life-Space Mobility and Health Characteristics in Older Adults Using Global Positioning System Watches.

Authors:  Jane Chung; Joseph Boyle; David C Wheeler
Journal:  J Appl Gerontol       Date:  2021-10-31

3.  Measuring Gait Variables Using Computer Vision to Assess Mobility and Fall Risk in Older Adults With Dementia.

Authors:  Kimberley-Dale Ng; Sina Mehdizadeh; Andrea Iaboni; Avril Mansfield; Alastair Flint; Babak Taati
Journal:  IEEE J Transl Eng Health Med       Date:  2020-05-28       Impact factor: 3.316

4.  How much do hospitalized adults move? A systematic review and meta-analysis.

Authors:  Sarina Fazio; Jacqueline Stocking; Brooks Kuhn; Amy Doroy; Emma Blackmon; Heather M Young; Jason Y Adams
Journal:  Appl Nurs Res       Date:  2019-09-03       Impact factor: 2.257

5.  Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults.

Authors:  Wei Zhang; Michael Schwenk; Sabato Mellone; Anisoara Paraschiv-Ionescu; Beatrix Vereijken; Mirjam Pijnappels; A Stefanie Mikolaizak; Elisabeth Boulton; Nini H Jonkman; Andrea B Maier; Jochen Klenk; Jorunn Helbostad; Kristin Taraldsen; Kamiar Aminian
Journal:  Sensors (Basel)       Date:  2018-06-25       Impact factor: 3.576

6.  Prominent physical inactivity in acute dementia care: Psychopathology seems to be more important than the dose of sedative medication.

Authors:  Tim Fleiner; Marleen Gersie; Sayantan Ghosh; Sabato Mellone; Wiebren Zijlstra; Peter Haussermann
Journal:  Int J Geriatr Psychiatry       Date:  2018-11-27       Impact factor: 3.485

7.  Evaluation of Wearable Technology in Dementia: A Systematic Review and Meta-Analysis.

Authors:  Alanna C Cote; Riley J Phelps; Nina Shaafi Kabiri; Jaspreet S Bhangu; Kevin Kip Thomas
Journal:  Front Med (Lausanne)       Date:  2021-01-11

Review 8.  Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review.

Authors:  Jelena Bezold; Janina Krell-Roesch; Tobias Eckert; Darko Jekauc; Alexander Woll
Journal:  Eur Rev Aging Phys Act       Date:  2021-07-09       Impact factor: 3.878

9.  Statistical learning of mobility patterns from long-term monitoring of locomotor behaviour with body-worn sensors.

Authors:  Sayantan Ghosh; Tim Fleiner; Eleftheria Giannouli; Uwe Jaekel; Sabato Mellone; Peter Häussermann; Wiebren Zijlstra
Journal:  Sci Rep       Date:  2018-05-04       Impact factor: 4.379

10.  Quantifying Habitual Physical Activity and Sedentariness in Older Adults-Different Outcomes of Two Simultaneously Body-Worn Motion Sensor Approaches and a Self-Estimation.

Authors:  Rieke Trumpf; Wiebren Zijlstra; Peter Haussermann; Tim Fleiner
Journal:  Sensors (Basel)       Date:  2020-03-28       Impact factor: 3.576

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