↓ Skip to main content

Cross-sectional Associations of Fatigue with Cerebral β-Amyloid in Older Adults at Risk of Dementia

Overview of attention for article published in Frontiers in Medicine, November 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
64 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Cross-sectional Associations of Fatigue with Cerebral β-Amyloid in Older Adults at Risk of Dementia
Published in
Frontiers in Medicine, November 2017
DOI 10.3389/fmed.2017.00173
Pubmed ID
Authors

Claudie Hooper, Philipe De Souto Barreto, Nicola Coley, Matteo Cesari, Pierre Payoux, Anne Sophie Salabert, Sandrine Andrieu, Bruno Vellas, for the MAPT/DSA Study Group

Abstract

Fatigue is a common symptom in the elderly and has also been associated with impaired cognition in older adults. Hence, we sought to explore the cross-sectional relationship between fatigue and cerebral β-amyloid (Aβ) in 269 elderly individuals reporting subjective memory complaints from the Multidomain Alzheimer Preventive Trial. Standard uptake value ratios (SUVRs) were generated by [(18)F] florbetapir positron emission tomography (PET) using the cerebellum as a reference. Cortical-to-cerebellar SUVRs (cortical-SUVRs) were obtained using the mean signal from the frontal cortex, temporal cortex, parietal cortex, precuneus, anterior cingulate, and posterior cingulate. Other brain regions independently assessed were the anterior cingulate, anterior putamen, caudate, hippocampus, medial orbitofrontal cortex, occipital cortex, parietal cortex, pons, posterior cingulate, posterior putamen, precuneus, semioval center, and temporal cortex. Fatigue was defined according to two questions retrieved from the Center for Epidemiological Studies-Depression scale. Chronic fatigue was defined as meeting fatigue criteria at two consecutive clinical visits 6 months apart between study baseline and 1 year (visits were performed at baseline, 6 months and 1 year then annually). Cross-sectional associations between fatigue variables and cerebral Aβ were explored using fully adjusted multiple linear regression models. We found no statistically significant cross-sectional associations between fatigue assessed at the clinical visit closest to PET and Aβ in any brain region. Similarly, chronic fatigue was not significantly associated with Aβ load. Sensitivity analysis in subjects with a Clinical Dementia Rating of 0.5 showed that fatigue reported at the clinical visit closest to PET was, however, weakly associated with increased Aβ in the hippocampus (B-coefficient: 0.07, 95% CI: 0.01, 0.12, p = 0.016). These preliminary results suggest that fatigue might be associated with Aβ in brain regions associated with Alzheimer's disease in subjects in the early stages of disease.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Master 9 14%
Student > Bachelor 6 9%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 4 6%
Other 15 23%
Unknown 15 23%
Readers by discipline Count As %
Medicine and Dentistry 15 23%
Psychology 7 11%
Nursing and Health Professions 6 9%
Neuroscience 4 6%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 11 17%
Unknown 18 28%
Attention Score in Context

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 06 November 2017.
All research outputs
#18,575,277
of 23,007,053 outputs
Outputs from Frontiers in Medicine
#3,999
of 5,776 outputs
Outputs of similar age
#253,395
of 330,777 outputs
Outputs of similar age from Frontiers in Medicine
#53
of 77 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,776 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,777 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.