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Cognitive Status and Nutritional Markers in a Sample of Institutionalized Elderly People

Overview of attention for article published in Frontiers in Aging Neuroscience, May 2022
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Title
Cognitive Status and Nutritional Markers in a Sample of Institutionalized Elderly People
Published in
Frontiers in Aging Neuroscience, May 2022
DOI 10.3389/fnagi.2022.880405
Pubmed ID
Authors

María Leirós, Elena Amenedo, Marina Rodríguez, Paula Pazo-Álvarez, Luis Franco, Rosaura Leis, Miguel-Ángel Martínez-Olmos, Constantino Arce, the Rest of NUTRIAGE Study Researchers, Melchor Fernández, Carlos Dieguez, Lucía Gayoso, Lourdes Vázquez Oderiz, Ángeles Romero, Nicolás Piedrafita

Abstract

Since many of the risk factors for cognitive decline can be modified by diet, the study of nutrition and its relationships with cognitive status in aging has increased considerably in recent years. However, there are hardly any studies that have assessed cognitive status using a comprehensive set of neuropsychological tests along with measures of functional capacity and mood and that have related it to nutritional status measured from several nutritional parameters that have shown its relationships with cognitive function. To test the differences in depressive symptomatology and in several measures of nutritional status between three groups classified according to their cognitive status (CS hereafter). One hundred thirteen participants from nursing homes in Galicia, Spain, underwent a comprehensive neuropsychological examination, including a general screening test (MMSE) and tests for different cognitive domains along with measures of activities of daily living (ADL) and assessment of depressive symptomatology (GDS-SF). According to established clinical criteria, participants were divided into three CS groups, Cognitively Intact (CI), Mild Cognitive Impairment (MCI), and All-Cause Dementia (ACD). Nutritional status was also examined using blood-derived measures, body mass index (BMI) and a nutritional screening test (MNA-SF). Differences between CS groups in all nutritional variables were studied by one-way ANOVAs with post-hoc Bonferroni correction or Kruskal-Wallis with Games-Howell post-hoc correction when appropriate. Multinomial logistic regression was also applied to test the association between nutritional variables and CS. Differences between CS groups were statistically significant for depressive symptomatology, vitamin A and D, albumin, selenium (Se), uric acid (UA), and BMI. The results of multinomial logistic regression found positive associations between groups with better CS and higher concentrations of vitamins A and D, transthyretin (TTR), albumin, Se, and UA, while negative associations were found for BMI. Higher serum levels of vitamin A, vitamin D, TTR, albumin, Se, and UA could act as protective factors against cognitive decline, whereas higher BMI could act as a risk factor.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Other 4 10%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Professor 2 5%
Other 4 10%
Unknown 17 43%
Readers by discipline Count As %
Medicine and Dentistry 6 15%
Nursing and Health Professions 5 13%
Social Sciences 3 8%
Biochemistry, Genetics and Molecular Biology 1 3%
Psychology 1 3%
Other 4 10%
Unknown 20 50%
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 24 June 2022.
All research outputs
#17,466,364
of 25,622,179 outputs
Outputs from Frontiers in Aging Neuroscience
#4,240
of 5,546 outputs
Outputs of similar age
#265,198
of 445,622 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#242
of 338 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,546 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 19th percentile – i.e., 19% 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 445,622 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 338 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.