Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

OBJECTIVES The purpose of this study was to determine the association between fitness and lifetime risk for cardiovascular disease (CVD). BACKGROUND Higher levels of traditional risk factors are associated with marked differences in lifetime risks for CVD. However, data are sparse regarding the association between fitness and the lifetime risk for CVD. METHODS We followed up 11,049 men who ...

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

Background—Separate multivariable risk algorithms are commonly used to assess risk of specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease, cerebrovascular disease, peripheral vascular disease, and heart failure. The present report presents a single multivariable risk function that predicts risk of developing all CVD and of its constituents. Methods and Resul...