Additional file 1: of Gout, flares, and allopurinol use: a population-based study

Table S1. Sociodemographic variables as predictors of gout. Analysis was performed by survey-weighted logistic regression, and coefficients represent log-odds ratios. Table S2. Prevalence of gout by gender, age, and BMI. Table S3. Prevalence of gout % (95%CI) by age Ă gender. Table S4. Sociodemographic variables as predictors of allopurinol use (within gout participants). Analysis was performed by survey-weighted multinomial logistic regression, and coefficients represent log-odds ratios. Table S5. Sociodemographic variables and allopurinol use as predictors of the number of gout flares in the preceding year (within gout participants). Analysis was performed by survey-weighted multinomial logistic regression, and coefficients represent log-odds ratios. (PDF 139 kb)

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PID https://www.doi.org/10.6084/m9.figshare.8215025
PID https://www.doi.org/10.6084/m9.figshare.8215025.v1
URL http://dx.doi.org/10.6084/m9.figshare.8215025.v1
URL http://dx.doi.org/10.6084/m9.figshare.8215025
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Author Proudman, Charlotte
Author Lester, Susan
Author Gonzalez-Chica, David
Author Gill, Tiffany
Author Dalbeth, Nicola
Author Hill, Catherine
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Collected From Datacite; figshare
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Publication Date 2019-05-31
Publisher figshare
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Resource Type Other literature type
keyword mesheuropmc.congenital, hereditary, and neonatal diseases and abnormalities
keyword FOS: Sociology
keyword FOS: Biological sciences
keyword FOS: Clinical medicine
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::4b04c039b508a7c6ce312d5bf7a00493
Author jsonws_user
Last Updated 26 December 2020, 14:38 (CET)
Created 26 December 2020, 14:38 (CET)