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The impact of health literacy and life style risk factors on health-related quality of life of Australian patients

Overview of attention for article published in Health and Quality of Life Outcomes, May 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 2,251)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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6 news outlets
policy
1 policy source
twitter
4 X users

Citations

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116 Dimensions

Readers on

mendeley
414 Mendeley
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Title
The impact of health literacy and life style risk factors on health-related quality of life of Australian patients
Published in
Health and Quality of Life Outcomes, May 2016
DOI 10.1186/s12955-016-0471-1
Pubmed ID
Authors

Upali W. Jayasinghe, Mark Fort Harris, Sharon M. Parker, John Litt, Mieke van Driel, Danielle Mazza, Chris Del Mar, Jane Lloyd, Jane Smith, Nicholas Zwar, Richard Taylor, On behalf of the Preventive Evidence into Practice (PEP) Partnership Group

Abstract

Limited evidence exists regarding the relationship between health literacy and health-related quality of life (HRQoL) in Australian patients from primary care. The objective of this study was to investigate the impact of health literacy on HRQoL in a large sample of patients without known vascular disease or diabetes and to examine whether the difference in HRQoL between low and high health literacy groups was clinically significant. This was a cross-sectional study of baseline data from a cluster randomised trial. The study included 739 patients from 30 general practices across four Australian states conducted in 2012 and 2013 using the standard Short Form Health Survey (SF-12) version 2. SF-12 physical component score (PCS-12) and mental component score (MCS-12) are derived using the standard US algorithm. Health literacy was measured using the Health Literacy Management Scale (HeLMS). Multilevel regression analysis (patients at level 1 and general practices at level 2) was applied to relate PCS-12 and MCS-12 to patient reported life style risk behaviours including health literacy and demographic factors. Low health literacy patients were more likely to be smokers (12 % vs 6 %, P = 0.005), do insufficient physical activity (63 % vs 47 %, P < 0.001), be overweight (68 % vs 52 %, P < 0.001), and have lower physical health and lower mental health with large clinically significant effect sizes of 0.56 (B (regression coefficient) = -5.4, P < 0.001) and 0.78(B = -6.4, P < 0.001) respectively after adjustment for confounding factors. Patients with insufficient physical activity were likely to have a lower physical health score (effect size = 0.42, B = -3.1, P < 0.001) and lower mental health (effect size = 0.37, B = -2.6, P < 0.001). Being overweight tended to be related to a lower PCS-12 (effect size = 0.41, B = -1.8, P < 0.05). Less well-educated, unemployed and smoking patients with low health literacy reported worse physical health. Health literacy accounted for 45 and 70 % of the total between patient variance explained in PCS-12 and MCS-12 respectively. Addressing health literacy related barriers to preventive care may help reduce some of the disparities in HRQoL. Recognising and tailoring health related communication to those with low health literacy may improve health outcomes including HRQoL in general practice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 414 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Nigeria 1 <1%
Unknown 412 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 53 13%
Student > Bachelor 52 13%
Student > Ph. D. Student 31 7%
Researcher 29 7%
Other 20 5%
Other 84 20%
Unknown 145 35%
Readers by discipline Count As %
Medicine and Dentistry 92 22%
Nursing and Health Professions 64 15%
Social Sciences 17 4%
Psychology 15 4%
Sports and Recreations 12 3%
Other 54 13%
Unknown 160 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 29 October 2020.
All research outputs
#791,926
of 24,323,543 outputs
Outputs from Health and Quality of Life Outcomes
#27
of 2,251 outputs
Outputs of similar age
#14,442
of 303,375 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#3
of 45 outputs
Altmetric has tracked 24,323,543 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,251 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 98% 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 303,375 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.