BACKGROUND: Health behaviours, important factors in @entity65 , are increasingly a focus of prevention. We appraised whether @entity64 risk can be accurately assessed using self-reported information focused on health behaviours. METHODS: Behavioural, sociodemographic and other risk factors were assessed in a population-based survey of 82 259 Ontarians who were followed for a median of 8.6 years (688 000 @entity1 -years follow-up) starting in 2001. Predictive algorithms for 5-year incident @entity64 resulting in hospitalization were created and then validated in a similar 2007 survey of 28 605 respondents (median 4.2 years follow-up). RESULTS: We observed 3 236 incident @entity64 events (1 551 resulting in hospitalization; 1 685 in the community setting without hospital admission). The final algorithms were discriminating (C-stat: 0.85, @entity1 ; 0.87, @entity1 ) and well-calibrated (in 65 of 67 subgroups for @entity1 ; 61 of 65 for @entity1 ). An index was developed to summarize cumulative relative risk of incident @entity64 from health behaviours and stress. For @entity1 , each point on the index corresponded to a 12% relative risk increase (180% risk difference, lowest (0) to highest (9) scores). For @entity1 , each point corresponded to a 14% relative risk increase (340% difference, lowest (0) to highest (11) scores). Algorithms for secondary @entity64 outcomes ( @entity64 resulting in @entity204 ; classified as @entity63 ; excluding transient @entity63 attack; and in the community setting) had similar health behaviour risk hazards. CONCLUSION: Incident @entity64 can be accurately predicted using self-reported information focused on health behaviours. Risk assessment can be performed with population health surveys to support population health planning or outside of clinical settings to support @entity1 -focused prevention.

Predicting @entity64 Risk Based on Health Behaviours: Development of the XXXX Population Risk Tool (SPoRT).

@entity1 :: ('9606', 'Species') :: ['women', 'patient', 'person', 'men'] @entity64 :: ('MESH:D020521', 'Disease') :: ['stroke'] @entity63 :: ('MESH:D007511', 'Disease') :: ['ischemic'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death'] @entity65 :: ('MESH:D002318', 'Disease') :: ['cardiovascular disease']
@entity64 :: (MESH:D020521,Disease) :: ['Stroke']
