The possibility of lifestyle and biological risk markers to predict morbidity and mortality in a cohort of young XXXX after 26   years follow-up.

@entity1 @entity6 @entity5 @entity285 @entity65 @entity165
OBJECTIVES: To study the association between lifestyle and biological risk markers measured at one occasion, morbidity and mortality from @entity65 ( @entity65 ) and @entity5 , and morbidity from @entity6 approximately 26   years later. DESIGN: A follow-up study of a cohort of @entity1 , 33-42   years old at baseline. SETTING: Primary healthcare centre in Sweden. @entity1 : All 757 @entity1 , living in the community of Habo in Sweden in 1985, and all 652 of these participating in a health examination in 1985-1987. INTERVENTIONS: Health profile and a health dialogue with a nurse. A doctor invited the high-risk group to further dialogue and examination. Intervention programmes were carried out in the primary healthcare centre and in cooperation with local associations. MAIN OUTCOME MEASURES: @entity65 and @entity5 diagnoses from the Swedish National Board of Health and Welfare. Data from pharmacy registers of sold drugs concerning @entity6 . RESULTS: The @entity1 were divided in three groups based on summarised risk points from lifestyle (smoking, physical activity, @entity285 consumption) and biological risk markers (body mass index (BMI), blood pressure, serum @entity165 ) selected from the health profile. Comparisons were done between these groups. The group with the lowest summarised total risk points had a significantly lower risk for @entity65 and @entity5 compared with the group with the highest summarised risk points. The group with the lowest risk points concerning lifestyle had a significantly lower risk for @entity65 , and the group with lowest risk points for biological risk markers had a significantly lower risk for both @entity65 and @entity5 compared with the groups with the highest risk points. Smoking and serum @entity165 were the most important risk factors. In association to @entity6 , BMI and smoking were the most important risk factors. CONCLUSIONS: Risk factors measured on one occasion seemed to be able to predict @entity65 , @entity5 and @entity6 26   years later.
