[Results of a cardiovascular disease prevention study among administrative employees of a large city].
In parallel with the demographic changes in an increasingly ageing German population, cardiovascular diseases (HKE) are becoming increasingly frequent and thus more and more important. The main aim of this work is to derive individual preventive measures on the basis of classic risk factors. This study was performed on 101 administrative employees of a large city (71 women and 30 men). The tests included a general investigation of medical status [current individual and family case history, body mass index (BMI)] as well as the determination of the following laboratory values: glucose, HDL and LDL cholesterol. In addition, the study was completed by a job analysis, including a survey of individual health behaviour. Referring to the PROCAM study, ten traditional risk factors for cardiovascular disease (arterial blood pressure >140/90 mmHg, BMI > or =25 kg/m (2), family disposition etc.) were probed. On the basis of these results individual risk profiles for each participant were rated. A vulnerable person received individually tailored prevention recommendations, which were adapted to the individual health behaviour of the subjects. Each of the 101 study participants received a personal results and prevention bulletin with individual test results and prevention suggestions. This high effort promises a better implementation as general advice for prevention in terms of classic risk factors.
Friedrichs
D
D
Institut für Arbeitsmedizin an der Otto-von-Guericke Universität Magdeburg, Leipziger Strasse 44, Magdeburg.
Peter
B
B
Pfister
E A
EA
Böse
B
B
Böckelmann
I
I
D002318:Cardiovascular Diseases / Q000453:epidemiology* / Q000517:prevention & control*; D002947:Cities / Q000453:epidemiology; D004651:Employment; D005260:Female; D005858:Germany / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000453:epidemiology* / Q000517:prevention & control*; D009934:Organization and Administration / Q000706:statistics & numerical data*; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors