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Summarizing health-related quality of life (HRQOL): development and testing of a one-factor model

Overview of attention for article published in Population Health Metrics, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 policy source
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3 X users
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1 patent

Citations

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135 Dimensions

Readers on

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408 Mendeley
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Title
Summarizing health-related quality of life (HRQOL): development and testing of a one-factor model
Published in
Population Health Metrics, July 2016
DOI 10.1186/s12963-016-0091-3
Pubmed ID
Authors

Shaoman Yin, Rashid Njai, Lawrence Barker, Paul Z. Siegel, Youlian Liao

Abstract

Health-related quality of life (HRQOL) is a multi-dimensional concept commonly used to examine the impact of health status on quality of life. HRQOL is often measured by four core questions that asked about general health status and number of unhealthy days in the Behavioral Risk Factor Surveillance System (BRFSS). Use of these measures individually, however, may not provide a cohesive picture of overall HRQOL. To address this concern, this study developed and tested a method for combining these four measures into a summary score. Exploratory and confirmatory factor analyses were performed using BRFSS 2013 data to determine potential numerical relationships among the four HRQOL items. We also examined the stability of our proposed one-factor model over time by using BRFSS 2001-2010 and BRFSS 2011-2013 data sets. Both exploratory factor analysis and goodness of fit tests supported the notion that one summary factor could capture overall HRQOL. Confirmatory factor analysis indicated acceptable goodness of fit of this model. The predicted factor score showed good validity with all of the four HRQOL items. In addition, use of the one-factor model showed stability, with no changes being detected from 2001 to 2013. Instead of using four individual items to measure HRQOL, it is feasible to study overall HRQOL via factor analysis with one underlying construct. The resulting summary score of HRQOL may be used for health evaluation, subgroup comparison, trend monitoring, and risk factor identification.

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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 408 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 408 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 57 14%
Student > Master 50 12%
Student > Ph. D. Student 33 8%
Researcher 24 6%
Student > Postgraduate 23 6%
Other 61 15%
Unknown 160 39%
Readers by discipline Count As %
Medicine and Dentistry 79 19%
Nursing and Health Professions 49 12%
Psychology 23 6%
Pharmacology, Toxicology and Pharmaceutical Science 20 5%
Social Sciences 17 4%
Other 51 13%
Unknown 169 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 22 August 2023.
All research outputs
#4,492,648
of 24,302,917 outputs
Outputs from Population Health Metrics
#129
of 401 outputs
Outputs of similar age
#76,423
of 361,122 outputs
Outputs of similar age from Population Health Metrics
#4
of 11 outputs
Altmetric has tracked 24,302,917 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has gotten more attention than average, scoring higher than 68% of its peers.
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 361,122 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.