| Title |
Can cognitive enhancers reduce the risk of falls in older people with Mild Cognitive Impairment? A protocol for a randomised controlled double blind trial
|
|---|---|
| Published in |
BMC Neurology, August 2009
|
| DOI | 10.1186/1471-2377-9-42 |
| Pubmed ID | |
| Authors |
Manuel Montero-Odasso, Jennie L Wells, Michael J Borrie, Mark Speechley |
| Abstract |
Older adults with cognitive problems have a higher risk of falls, at least twice that of cognitively normal older adults. The consequences of falls in this population are very serious: fallers with cognitive problems suffer more injuries due to falls and are approximately five times more likely to be admitted to institutional care. Although the mechanisms of increased fall risk in cognitively impaired people are not completely understood, it is known that impaired cognitive abilities can reduce attentional resource allocation while walking. Since cognitive enhancers, such as cholinesterase inhibitors, improve attention and executive function, we hypothesise that cognitive enhancers may reduce fall risk in elderly people in the early stages of cognitive decline by improving their gait and balance performance due to an enhancement in attention and executive function. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 253 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 41 | 16% |
| Student > Ph. D. Student | 40 | 15% |
| Researcher | 36 | 14% |
| Student > Bachelor | 28 | 11% |
| Professor > Associate Professor | 15 | 6% |
| Other | 52 | 20% |
| Unknown | 47 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 66 | 25% |
| Nursing and Health Professions | 36 | 14% |
| Psychology | 26 | 10% |
| Neuroscience | 15 | 6% |
| Sports and Recreations | 12 | 5% |
| Other | 42 | 16% |
| Unknown | 62 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 September 2014.
All research outputs
#18,379,018
of 22,764,165 outputs
Outputs from BMC Neurology
#1,882
of 2,428 outputs
Outputs of similar age
#102,718
of 111,786 outputs
Outputs of similar age from BMC Neurology
#6
of 8 outputs
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