Weighted proportional distribution of socio-demographic characteristics, adults aged 50-plus years, by country and pooled countries, SAGE Wave 1.

<p>^aRussian Federation</p><p>^bSouth Africa</p><p>^cCompleted</p><p>^dUniversity</p><p>^eDivorced</p><p>Weighted proportional distribution of socio-demographic characteristics, adults aged 50-plus years, by country and pooled countries, SAGE Wave 1.</p

Decomposition of Inequality in Health Status – Contributions by Determinants, pooled data of 18 WHO African countries and 19 WHO European countries, World Health Survey, 2002–2004.

<p>Note: Figures may be affected by rounding.</p>*<p>Using WHO standard, age-standardized mean health scores were similar for women in the European and African regions (72.1 and 72.5 respectively) but higher for men in the European region (77.6 compared with 76.6 in the African region).</p

Multivariable ordinal logistic regression of factors associated with back pain intensity, adults 50+ years, pooled, SAGE Wave 1 (N = 8,815).

<p>^aConfidence Interval</p><p>*** <0.01</p><p>**<0.05</p><p>*p<0.1</p><p>Variance Inflation Factor VIF = 1.15.</p><p>Multivariable ordinal logistic regression of factors associated with back pain intensity, adults 50+ years, pooled, SAGE Wave 1 (N = 8,815).</p

Multivariable regression of factors associated with disability, adults 50+ years, pooled countries, SAGE Wave 1 (N = 29,996).

<p>^aConfidence Interval</p><p>***p<0.01</p><p>**<0.05</p><p>*p<0.1</p><p>Variance Inflation Factor VIF = 2.05.</p><p>Multivariable regression of factors associated with disability, adults 50+ years, pooled countries, SAGE Wave 1 (N = 29,996).</p

Health status scores for men and women by selected background characteristics, pooled data of 57 countries, World Health Survey, 2002–2004.

<p>Note: The health status score is on a scale from 0 to 100, where 0 is worst health and 100 best health.</p

Multivariable logistic regression of factors associated with back pain prevalence, adults 50+ years, pooled, SAGE Wave 1 (N = 30,146).

<p>^aConfidence Interval</p><p>*** <0.01</p><p>**p<0.05</p><p>*p<0.1</p><p>Variance Inflation Factor = 1.17.</p><p>Multivariable logistic regression of factors associated with back pain prevalence, adults 50+ years, pooled, SAGE Wave 1 (N = 30,146).</p

Back pain prevalence and intensity, adults aged 50-plus years, by country and pooled, SAGE Wave 1.

<p>^aRussian Federation</p><p>^bSouth Africa</p><p>^eConfidence Interval</p><p>Intensity sample conditioned on prevalence</p><p>Back pain prevalence and intensity, adults aged 50-plus years, by country and pooled, SAGE Wave 1.</p

Multivariate Analysis of Health Status of Men and Women Separately and Pooled, by Social Determinants, pooled data of 57 countries, World Health Survey, 2002–2004.

<p>Multivariate Analysis of Health Status of Men and Women Separately and Pooled, by Social Determinants, pooled data of 57 countries, World Health Survey, 2002–2004.</p

Back pain prevalence and intensity by socio-demographic and health characteristics, adults aged 50-plus years, pooled countries SAGE Wave 1.

<p>^aConfidence Interval</p><p>^bCompleted</p><p>^cUniversity</p><p>^dDivorced</p><p>Arthritis, Depression, Asthma measured using WHO algorithms. Diabetes measured using self-report.</p><p>Back pain prevalence and intensity by socio-demographic and health characteristics, adults aged 50-plus years, pooled countries SAGE Wave 1.</p

Decomposition of Inequality in Health Status – Contributions by Determinants, pooled data of 57 countries, World Health Survey, 2002–2004.

<p>Note: Figures may be affected by rounding.</p