↓ Skip to main content

Gout prevalence and predictors of urate-lowering therapy use: results from a population-based study

Overview of attention for article published in Arthritis Research & Therapy, July 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

news
1 news outlet
twitter
5 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
18 Mendeley
Title
Gout prevalence and predictors of urate-lowering therapy use: results from a population-based study
Published in
Arthritis Research & Therapy, July 2018
DOI 10.1186/s13075-018-1633-9
Pubmed ID
Authors

Huai Leng Pisaniello, Susan Lester, David Gonzalez-Chica, Nigel Stocks, Marie Longo, Greg R. Sharplin, Eleonora Dal Grande, Tiffany K. Gill, Samuel L. Whittle, Catherine L. Hill

Abstract

Gout has an increasing global prevalence. Underutilization of urate-lowering therapy (ULT) is thought to be common, via both suboptimal dosing and poor medication adherence. The aims of this study were to determine the prevalence of self-reported gout and the key predictors of ULT use in those with gout in a representative population survey in South Australia. Data were obtained from the Spring 2015 South Australian Health Omnibus Survey, a multilevel, systematic, survey in a representative population sample involving face-to-face interviews (n = 3005). This study analyzed responses from respondents aged ≥ 25 years (n = 2531) about self-reported gout, ULT use, sociodemographic factors, lifestyle factors, and comorbidities, using survey weighting. Univariate and subsequent adjusted logistic regression analyses on self-reported gout were performed. ULT use was divided into three categories (never use, prior use, and current use) and these data were analyzed using a multinomial logistic regression model. Self-reported gout prevalence was 6.8% (95% CI 5.8, 7.9). The mean age of respondents with gout was 64 years (standard deviation 16) and 82% were male. As expected, older age, male gender, lower socioeconomic status (SES), and higher body mass index (BMI) were associated with gout, as were high alcohol consumption, current smoking, other forms of arthritis, and hypertension or hypercholesterolemia medication, after adjustment for sociodemographic variables. Two thirds of respondents with gout reported ULT use (36% current; 29% previous) with only 55% continuing treatment. Predictors of ULT use included male gender, low SES, and concomitant cholesterol-lowering therapy. Respondents with gout with a higher BMI were more likely to remain on ULT. Despite gout being a common, potentially disabling joint disease, only 55% of respondents with gout in this study adhered to ULT. Identification of key predictors of ULT use will provide guidance on prescribing strategy in clinical practice and on the quality of gout care in the community.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 22%
Student > Master 4 22%
Researcher 3 17%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 2 11%
Other 3 17%
Readers by discipline Count As %
Psychology 4 22%
Unspecified 4 22%
Pharmacology, Toxicology and Pharmaceutical Science 3 17%
Medicine and Dentistry 3 17%
Nursing and Health Professions 2 11%
Other 2 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 18 July 2018.
All research outputs
#1,191,470
of 13,243,534 outputs
Outputs from Arthritis Research & Therapy
#280
of 2,155 outputs
Outputs of similar age
#41,659
of 266,184 outputs
Outputs of similar age from Arthritis Research & Therapy
#1
of 1 outputs
Altmetric has tracked 13,243,534 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 87% 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 266,184 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 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them