Sabine Oertelt?Prigione|Ute Seeland|Friederike Kendel|Mirjam Rücke|Agnes Flöel|Wolfgang Gaissmaier|Christine Heim|Renate B. Schnabel|Verena Stangl|Vera Regitz?Zagrosek
Cardiovascular risk factor distribution and subjective risk estimation in urban women – The BEFRI Study: a randomized cross-sectional study
Charité - Universitätsmedizin Berlin|Charité - Universitätsmedizin Berlin|Charité - Universitätsmedizin Berlin|Charité - Universitätsmedizin Berlin|Charité - Universitätsmedizin Berlin|University of Konstanz|Charité - Universitätsmedizin Berlin|Universität Hamburg|University Medical Center Hamburg-Eppendorf|German Centre for Cardiovascular Research|German Centre for Cardiovascular Research
awareness represents major modulator uptake preventive measures healthy lifestyle choices women underestimate role cardiovascular diseases causes mortality yet little information available subjective risk awareness berlin female risk evaluation befri study included randomized urban female sample aged 2574 years 1066 women completed standardized questionnaires attended extensive clinical examination subjective estimation measured 3point likert scale question asking subjective perception absolute cardiovascular risk 10 year outlook matched cardiovascular risk estimate according framingham score women expected linear increase age observed hypertension hyperlipidemia obesity vascular compliance measured pulse pressure knowledge optimal values selected cardiovascular risk factor indicators increased age perception importance age 4135 participants correctly classified cardiovascular risk 4865 underestimated age resulted significant predictor subjective underestimation 35 age 50 years compared 50 95 ci 2648 p 00001 therefore although socioeconomic factors joblessness 19 95 ci 1426 p 00001 combinations social risk factors low income limited education simple job living alone children statutory health coverage 15 95 ci 1121 p 0009 also significantly influenced selfawareness age appeared strongest predictor risk underestimation time least perceived cardiovascular risk factor less half women study population correctly estimated cardiovascular risk study identifies age strongest predictor risk underestimation urban women time least subjectively perceived cardiovascular risk factor although age cannot modified data highlights need explicit risk counseling information campaigns cardiovascular relevance aging focusing measures control coexisting modifiable risk factors