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Is Nutrition Specific Quality of Life Associated With Nutritional Status?

Overview of attention for article published in Journal of renal nutrition (Print), April 2018
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Article details
Title
Is Nutrition Specific Quality of Life Associated With Nutritional Status?
Published in
Journal of renal nutrition (Print), April 2018
DOI 10.1053/j.jrn.2017.12.011
Pubmed ID
Authors
Abstract

The study purpose was to explore the relationship between nutritional status, as measured by Subjective Global Assessment (SGA), and Health Related Quality of Life measured using the Nutrition Specific Quality of Life (NS-QoL), tool among participants on maintenance hemodialysis (MHD). The study aim was to determine if NS-QoL may be an adjuvant tool for detecting changes in nutritional status among patients on MHD. This is a cross-sectional, secondary analysis of data from a multi-center study. Participants were adult (>18) men and women on MHD (n = 145) recruited from 3 institutions in the Northeastern United States. Statistical tests were conducted to determine the relationship between key demographic characteristics (age, sex, dialysis vintage, gender, and ethnicity) and SGA and NS-QoL. Spearman's correlation examined the relationship between the independent variable, SGA and the dependent variable, NS-QoL. A univariate general linear model was conducted to adjust for confounding variables. The relationship between overall SGA score and composite NS-QoL score. The sample consisted of 85 men (58.6%), with a mean age of 55.3 ± 11.9 years, who were largely African-American (84.1%) and non-Hispanic (77.2%). Mean SGA score was 5.5 ± 1.0, and the mean NS-QoL composite score was 9.51 ± 3.77. No key demographic characteristics had a statistically significant relationship with SGA, whereas sex (P < .001) and race (P = .015) both had statistically significant relationships with NSQoL. After adjusting for the variables of race and sex, NS-QoL score was positively correlated with SGA composite score (P = .042); as NS-QoL score increased so did the SGA score. The present study found a positive linear correlation between NS-QoL composite score and SGA, as well as 5 SGA subcomponent scores and NS-QoL. These findings indicate that NS-QoL can complement the SGA to provide information about a patient's nutritional status.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 10%
Other 4 8%
Student > Bachelor 4 8%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Other 7 13%
Unknown 25 48%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 10 19%
Medicine and Dentistry 7 13%
Agricultural and Biological Sciences 2 4%
Psychology 2 4%
Unspecified 1 2%
Other 2 4%
Unknown 28 54%
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 02 May 2018.
All research outputs
#30,847,837
of 34,040,673 outputs
Outputs from Journal of renal nutrition (Print)
#1,153
of 1,318 outputs
Outputs of similar age
#334,688
of 372,091 outputs
Outputs of similar age from Journal of renal nutrition (Print)
#15
of 15 outputs
Altmetric has tracked 34,040,673 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,318 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 1st percentile – i.e., 1% 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 372,091 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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.