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The Association of Inflammation with Food Intake in Older Hospitalized Patients

Overview of attention for article published in The journal of nutrition, health & aging, May 2018
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

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31 Mendeley
Title
The Association of Inflammation with Food Intake in Older Hospitalized Patients
Published in
The journal of nutrition, health & aging, May 2018
DOI 10.1007/s12603-017-0976-2
Pubmed ID
Authors

Maryam Pourhassan, S. Böttger, G. Janssen, L. Sieske, R. Wirth

Abstract

An acute inflammatory process may play a role in inhibiting appetite and food intake particularly in acutely ill older individuals. However, there is a lack of knowledge on the effect of inflammation on food intake in humans. In this study, we sought to investigate the association of C-reactive protein (CRP), as an inflammatory marker, with food intake in acutely ill older hospitalized patients. This cross-sectional study investigated older participants who were consecutively admitted to a geriatric acute care ward. Food intake during previous week was measured according to the Nutritional Risk Screening (NRS-2002) and patients were grouped into two categories as intake ≥75% and <75% of requirements. Disease severity and mobility were measured based on the NRS-2002 and Mini Nutritional Assessment Short Form (MNA-SF), respectively. Serum CRP was analyzed according to standard procedures. Of 177 older participants (mean age 83.1 ± 6.5 y, BMI range of 14.7-43.6 kg/m2; 116 females), 67 (38.0%) had moderate to severe inflammation (CRP>3.0 mg/dl). In addition, 109 (62.0%) patients had intake <75% of requirements during previous week, in which 34 (31.0%) and 54 (50.0%) demonstrated mild and moderate to severe inflammation, respectively. Furthermore, there were significant differences in CRP levels between intake ≥75% and <75% of requirements (P<0.001). In a logistic regression analysis, CRP level (odds ratio; OR, 1.14; P=0.006), disease severity (OR, 2.94; P=0.022), mobility (OR, 0.44; P=0.005) and BMI (OR, 0.89; P=0.003) were the major independent predictors of low food intake. Our findings confirm a close association between food intake and inflammation in older hospitalized patients. In addition, CRP level and disease severity together were the most important independent predictors associated with food intake in these patients.

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The data shown below were collected from the profiles of 5 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 29%
Student > Bachelor 3 10%
Student > Doctoral Student 2 6%
Student > Ph. D. Student 2 6%
Researcher 2 6%
Other 3 10%
Unknown 10 32%
Readers by discipline Count As %
Medicine and Dentistry 7 23%
Nursing and Health Professions 6 19%
Engineering 2 6%
Psychology 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 11 35%
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 14 June 2018.
All research outputs
#14,503,514
of 25,728,855 outputs
Outputs from The journal of nutrition, health & aging
#1,204
of 2,003 outputs
Outputs of similar age
#164,608
of 340,133 outputs
Outputs of similar age from The journal of nutrition, health & aging
#24
of 40 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 39th percentile – i.e., 39% 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 340,133 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 40 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.