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Associated factors with functional disability and health-related quality of life in Chinese patients with gout: a case-control study

Overview of attention for article published in BMC Musculoskeletal Disorders, November 2017
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Title
Associated factors with functional disability and health-related quality of life in Chinese patients with gout: a case-control study
Published in
BMC Musculoskeletal Disorders, November 2017
DOI 10.1186/s12891-017-1787-7
Pubmed ID
Authors

Ting Fu, Haixia Cao, Rulan Yin, Lijuan Zhang, Qiuxiang Zhang, Liren Li, Zhifeng Gu

Abstract

Gout is a painful, inflammatory disease that may cause decreased function and health-related quality of life (HRQoL). Limited study did not take the influence of gout characteristics and anxiety on HRQoL into consideration and there are no studies associated with functional disability in individuals with gout from China. This study aims to investigate the related factors of functional disability and HRQoL in gout patients recruited from China. A total of 226 consecutive gout patients and 232 age- and gender-matched healthy individuals were involved in the study. A series of questionnaires (the Short Form 36 health survey, the Patient Health Questionnaire, the Generalized Anxiety Disorder questionnaire, the 10 cm Visual Analog Scale, and the Health Assessment Questionnaire-Disability Index) were applied. Blood samples were taken to examine the level of serum uric acid. Independent samples t-tests, Chi square tests, U test, Spearman rank correlation, logistic regression modeling, and linear regression were used to analyze the data. After adjusted demographic variables, individuals with gout have poorer HRQoL compared to healthy controls. Univariate tests presented that patients with functional disability had longer disease duration, more frequent flares/last year, more severe total pain, more number of tophi, higher degree of depression and anxiety, with a trend toward diabetes, the treatment of colchicine and corticosteroids use, compared to patients without functional disability. Meanwhile, place of residence, hypertension, DM, disease duration, cardiovascular disease, number of flares/last year, total pain, more number of tophi, presence of tender joints, depression, anxiety, currently using colchicine and corticosteroids were correlated significantly with HRQoL. Additionally, multiple regression analysis identified severe pain, depression, and colchicine use as predictors of functional disability. Cardiovascular disease, total pain, number of flares/last year, presence of tender joints, depression, anxiety, colchicine and corticosteroids use contributed to low HRQoL. After adjusted demographic variables, gout subjects have poorer HRQoL compared to healthy controls. Chinese gout population experiencing poor HRQoL and functional disability were likely to suffer from gout-related features and psychological problems. The results underscore the need of effective interventions including psychological nursing and appropriate treatment approaches to reduce their functional disability and improve their HRQoL.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Student > Bachelor 3 10%
Student > Doctoral Student 3 10%
Lecturer 2 7%
Student > Ph. D. Student 2 7%
Other 5 17%
Unknown 11 37%
Readers by discipline Count As %
Nursing and Health Professions 5 17%
Medicine and Dentistry 5 17%
Psychology 3 10%
Economics, Econometrics and Finance 1 3%
Physics and Astronomy 1 3%
Other 3 10%
Unknown 12 40%

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 23 November 2017.
All research outputs
#9,351,409
of 12,181,658 outputs
Outputs from BMC Musculoskeletal Disorders
#1,726
of 2,418 outputs
Outputs of similar age
#188,193
of 285,390 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#87
of 140 outputs
Altmetric has tracked 12,181,658 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 20th percentile – i.e., 20% 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 285,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.