Risk prediction in men | women Show:

Getting started: User guide for the Association Explorer

This is an interactive graph that shows how closely 619 measurements (variables) collected in UK Biobank are associated with different causes of death and how accurately a variable can predict the risk of death within five years in men.


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Axis descriptions:

* The higher the C-index, the more accurate the variable is at predicting death within five years. For example, 'Usual walking pace' is a more accurate predictor of five-year mortality (C-index = 0.72), than 'Number of days per week of moderate physical activity' (C-index = 0.68). Read more.

The variables with the least predictive ability do not increase the C-index beyond what is predicted by age alone [the baseline in the graph (C-index=0.68)], while those with the most predictive ability increase C-index several percentage points.

** The higher the R2 value, the more strongly associated the variable is with age. For example, 'Weekly usage of mobile phone in last 3 months' is more strongly associated with age (R2 = 0.2), than 'Salt added to food' (R2 = 0.001). Read more.

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Variable listing

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Blood assays

Cognitive function

Early life factors

Family history

Health and medical history

Lifestyle and environment

Physical measures

Psychosocial factors

Sex-specific factors

Sociodemographics