Levels of physical activity and sleep patterns among older people with dementia living in long-term care facilities: A 24-h snapshot
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Author(s)
Moyle, Wendy
Jones, Cindy
Murfield, Jenny
Draper, Brian
Beattie, Elizabeth
Shum, David
Thalib, Lukman
O'Dwyer, Siobhan
Mervin, Cindy M
Griffith University Author(s)
Year published
2017
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Show full item recordAbstract
Objectives: To objectively measure over a 24-h period the daytime and nighttime levels of physical activity and
sleep patterns of older people with dementia living in long-term care facilities.
Study design: Nested within a larger research program, this cross-sectional study involved 415 residents, aged
≥60 years, with a documented diagnosis of dementia, from 28 long-term care facilities in south-east
Queensland, Australia.
Main outcome measures: Residents wore SenseWear® activity armbands continuously for 24 h, with data recorded
for: step count; total energy expenditure; metabolic equivalent of task (MET); and the amount ...
View more >Objectives: To objectively measure over a 24-h period the daytime and nighttime levels of physical activity and sleep patterns of older people with dementia living in long-term care facilities. Study design: Nested within a larger research program, this cross-sectional study involved 415 residents, aged ≥60 years, with a documented diagnosis of dementia, from 28 long-term care facilities in south-east Queensland, Australia. Main outcome measures: Residents wore SenseWear® activity armbands continuously for 24 h, with data recorded for: step count; total energy expenditure; metabolic equivalent of task (MET); and the amount of time spent physically active, lying down, awake, and asleep. Residents’ levels of cognitive impairment (assessed using the Rowland Universal Dementia Assessment Scale) and agitation (assessed using the Cohen-Mansfield Agitation Inventory-Short Form), and demographic data were also collected. Results: From a total of 415 residents monitored with the SenseWear® activity armbands, 192 met the valid weartime of 21 h or more, and had activity and sleep data recorded. These residents were largely inactive during the daytime (engaged in an average of 1.8 h of light physical activity), but achieved recommended amounts of sleep at night (average of 6.8 h). There was considerable variation within the sample, and activity and sleep differed by sex (p < 0.001), age (p = 0.010), mobility (p < 0.001), and antipsychotic usage (p = 0.030). Conclusions: These data can be used by long-term care clinicians to assist in planning interventions and care approaches which promote physical activity and good sleep practices, and are individualized to physical and cognitive capabilities.
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View more >Objectives: To objectively measure over a 24-h period the daytime and nighttime levels of physical activity and sleep patterns of older people with dementia living in long-term care facilities. Study design: Nested within a larger research program, this cross-sectional study involved 415 residents, aged ≥60 years, with a documented diagnosis of dementia, from 28 long-term care facilities in south-east Queensland, Australia. Main outcome measures: Residents wore SenseWear® activity armbands continuously for 24 h, with data recorded for: step count; total energy expenditure; metabolic equivalent of task (MET); and the amount of time spent physically active, lying down, awake, and asleep. Residents’ levels of cognitive impairment (assessed using the Rowland Universal Dementia Assessment Scale) and agitation (assessed using the Cohen-Mansfield Agitation Inventory-Short Form), and demographic data were also collected. Results: From a total of 415 residents monitored with the SenseWear® activity armbands, 192 met the valid weartime of 21 h or more, and had activity and sleep data recorded. These residents were largely inactive during the daytime (engaged in an average of 1.8 h of light physical activity), but achieved recommended amounts of sleep at night (average of 6.8 h). There was considerable variation within the sample, and activity and sleep differed by sex (p < 0.001), age (p = 0.010), mobility (p < 0.001), and antipsychotic usage (p = 0.030). Conclusions: These data can be used by long-term care clinicians to assist in planning interventions and care approaches which promote physical activity and good sleep practices, and are individualized to physical and cognitive capabilities.
View less >
Journal Title
Maturitas
Volume
102
Copyright Statement
© 2017 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
Subject
Clinical sciences
Clinical sciences not elsewhere classified