mobility scooter use and the physical functioning of older adults
DESCRIPTION
Mobility Scooter Use and the Physical Functioning of Older Adults. Roselle Thoreau University College London (UCL) United Kingdom. Some of the main benefits of being physically active are: Maintain better health Stay more mobile for longer Live longer Maintain independence. Walking. - PowerPoint PPT PresentationTRANSCRIPT
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Mobility Scooter Use and the Physical Functioning of Older
Adults
Roselle ThoreauUniversity College London (UCL)
United Kingdom
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Some of the main benefits of being physically active are:
Maintain better health
Stay more mobile for longer
Live longer
Maintain independence
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Walking
The most common form of physical activity adults over 65 partake in.A brisk walking pace is linked to a reduced risk of premature death BUT only 16% of adults over 65 regularly walk at this pace.When walking becomes more difficult people turn to
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Mobility Aids
Canes
Walking frames
Mobility Scooters
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How do the health and capabilities of people who use different mobility
aids (or are unaided) differ?
Is the rate of decline between these groups different over time?
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English Longitudinal Study of Ageing (ELSA)
Multi-stage stratified random sample2002 – 2009: Waves 1 – 4Participants are 50+ in 2002.
Our sample65yrs + (Wave 1)Divided into
Scooter usersCane usersNo mobility device users
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Wave 1 - 2002
Scooter use is low – 1.4%
The average age of scooter users is 76
Scooters are not used in isolation
78% also used a cane17% also used a walker
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Changes over time: Chair rises
Between the two tests (4 years) scooter users become significantly slower over time when compared to the other groups
Proportional Change between Wave 2 and Wave 4
Scooter 28% slower
Cane 3% faster
Unaided 5% slower
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Percentage in each user group able to complete tests during each wave
Scooter Cane Unaided0
10
20
30
40
50
60
70
80
90
100
Wave 2Wave 4
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Changes over time: Walking
Proportional change in walking speed between Wave 1 and Wave 4
Scooter 12% slower
Cane 32% slower
Unaided 21% slower
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Scooter users are less likely to complete the test
Scooter Cane Unaided0
10
20
30
40
50
60
70
80
90
100
Wave 1Wave 4
Percentage of users able to complete tests
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Changes over time: Lung Function (FVC)
Proportional change in FVC between Wave 2 and Wave 4
Scooter 92%
Cane 94%
Unaided 96%
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Scooter Cane Unaided70
75
80
85
90
95
Wave 2Wave 4
Percentage of users able to complete tests
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Changes over time: Grip StrengthDominant and Non-Dominant HandsScooter users lose more grip strength over time than any other groups in both hands
Proportional change in grip strength between Wave 2 and Wave 4
Dominant Scooter 84%
Cane 88%
Unaided 91%
Non Dominant Scooter 91%
Cane 87%
Unaided 91%
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Scooter Cane Unaided0
10
20
30
40
50
60
70
80
90
100
Wave 2 Wave 4
Percentage of users able to complete tests
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Changes over time: BMI
In Wave 2: there are no significant differences in BMI between scooter users and other groupsIn Wave 4: there is a significant difference in the BMI of non aided and scooter users and cane users
Mean BMI scores
Wave 2 Wave 4
Scooter 30 32
Cane 30 29
Unaided 27 27
BMI SCORE
Normal Weight = 18.5 – 24.9
Overweight = 25 – 29.9
Obese = 30 or greater
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Conclusion
All capabilities lessen over timeScooter users lose the mostScooters users have the highest rates of inability to complete (in single waves and over time)
Scooter use may accelerate frailty, mobility difficulties and further disability
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Mobility Scooters replace walking
THAT IS THEIR PURPOSE
BUT
Potential users should be made aware of both the negative and the positive effects of using scooters before they make a
decision to use
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Further Research
Measuring new scooter users against unaided counterparts with similar capabilities
Understand the behavioral reasons for scooter uptake
Examining the types and mode of journeys made pre and post scooter uptake
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Thank you for listening
Roselle ThoreauDept for Civil, Environmental and Geomatic EngineeringUniversity College London (UCL)London, England
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References
Bohannon, R.W., Bear-Lehman, J., Desrosiers, J., Massy-Westropp, N. And Mathiowetz, V (2007) Average Grip Strength: A meta-analysis of data obtained with a Jamar dynamometer from individuals 75 years or more of age. Journal of Geriatric Physical Therapy, 30(1)
Department of Health. (2002). Health Survey for England 2000: The health of older people. www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsStatistics/DH_4008793