Wozu Theorie?

<p>The left line is the estimated age effect, the middle line refers to the estimated birth cohort effect and the short line to the right refers to the estimated period effect.</p

Age sex standardised prevalence of diabetes, 2002 to 2013.

<p>Age sex standardised prevalence of diabetes, 2002 to 2013.</p

Multivariable APC-analysis of obesity for males per 100 2002–2013, shown as line graphs representing rates (%) and rate ratios (log scale), with its 95% confidence interval (shaded area).

<p>The left line is the estimated age effect, the middle line refers to the estimated birth cohort effect and the short line to the right refers to the estimated period effect.</p

Age sex standardised prevalence of obesity, 2002 to 2013.

<p>Age sex standardised prevalence of obesity, 2002 to 2013.</p

AWB Response rates: mobile telephone sample [using American Association for Public Opinion Research standards][30].

<p>AWB Response rates: mobile telephone sample [using American Association for Public Opinion Research standards][<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0150231#pone.0150231.ref030" target="_blank">30</a>].</p

Additional file 2: of Gout prevalence and predictors of urate-lowering therapy use: results from a population-based study

Table S1. Prevalence of gout by age group and gender from the South Australian 2015 Health Omnibus Survey. Table S2. Birth country prevalence (percentage). Odds ratios are for the comparison of participants with and without gout. Table S3. (A) Coefficients from the multinomial logistic regression model for predictors of allopurinol use. (B) Predictor variables not included in the model for allopurinol use. (PDF 236 kb

Additional file 1: of Gout prevalence and predictors of urate-lowering therapy use: results from a population-based study

The spring 2015 SAHOS study questions. (PDF 816 kb