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Specific cognitive functions and depressive symptoms as predictors of activities of daily living in older adults with heterogeneous cognitive backgrounds

Overview of attention for article published in Frontiers in Aging Neuroscience, July 2015
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Title
Specific cognitive functions and depressive symptoms as predictors of activities of daily living in older adults with heterogeneous cognitive backgrounds
Published in
Frontiers in Aging Neuroscience, July 2015
DOI 10.3389/fnagi.2015.00139
Pubmed ID
Authors

Jonas J. de Paula, Breno S. Diniz, Maria A. Bicalho, Maicon Rodrigues Albuquerque, Rodrigo Nicolato, Edgar N. de Moraes, Marco A. Romano-Silva, Leandro F. Malloy-Diniz

Abstract

Cognitive functioning influences activities of daily living (ADL). However, studies reporting the association between ADL and neuropsychological performance show inconsistent results regarding what specific cognitive domains are related to each specific functional domains. Additionally, whether depressive symptoms are associated with a worse functional performance in older adults is still under explored. We investigated if specific cognitive domains and depressive symptoms would affect different aspects of ADL. Participants were 274 older adults (96 normal aging participants, 85 patients with mild cognitive impairment, and 93 patients probable with mild Alzheimer's disease dementia) with low formal education (∼4 years). Measures of ADL included three complexity levels: Self-care, Instrumental-Domestic, and Instrumental-Complex. The specific cognitive functions were evaluated through a factorial strategy resulting in four cognitive domains: Executive Functions, Language/Semantic Memory, Episodic Memory, and Visuospatial Abilities. The Geriatric Depression Scale measured depressive symptoms. Multiple linear regression analysis showed executive functions and episodic memory as significant predictors of Instrumental-Domestic ADL, and executive functions, episodic memory and language/semantic memory as predictors of Instrumental-Complex ADL (22 and 28% of explained variance, respectively). Ordinal regression analysis showed the influence of specific cognitive functions and depressive symptoms on each one of the instrumental ADL. We observed a heterogeneous pattern of association with explained variance ranging from 22 to 38%. Different instrumental ADL had specific cognitive predictors and depressive symptoms were predictive of ADL involving social contact. Our results suggest a specific pattern of influence depending on the specific instrumental daily living activity.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 122 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 18%
Student > Ph. D. Student 17 14%
Researcher 14 11%
Student > Bachelor 9 7%
Student > Doctoral Student 7 6%
Other 26 21%
Unknown 28 23%
Readers by discipline Count As %
Psychology 36 29%
Medicine and Dentistry 13 11%
Nursing and Health Professions 9 7%
Neuroscience 9 7%
Social Sciences 7 6%
Other 18 15%
Unknown 31 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 July 2015.
All research outputs
#14,571,681
of 24,567,524 outputs
Outputs from Frontiers in Aging Neuroscience
#3,340
of 5,277 outputs
Outputs of similar age
#128,132
of 268,964 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#43
of 63 outputs
Altmetric has tracked 24,567,524 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,277 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 36th percentile – i.e., 36% 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 268,964 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.