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Projects / Programmes source: ARIS

Psihokardioloska longitudinalna raziskava in psihokoronarni klub (Slovene)

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Research activity

Code Science Field Subfield
3.06.00  Medical sciences  Cardiovascular system   

Code Science Field
B530  Biomedical sciences  Cardiovascular system 
B650  Biomedical sciences  Psychiatry, clinical psychology, psychosomatics 
Keywords
ischaemic heart disease, risk factors, coronary-prone personality, neuroticism, sensitisation
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (3)
no. Code Name and surname Research area Role Period No. of publications
1.  02058  Tatjana Berger  Public health (occupational safety)  Researcher  2000 - 2002  245 
2.  12768  PhD Andrej Marušič  Psychiatry  Head  2000 - 2002  882 
3.  11867  PhD Igor Švab  Public health (occupational safety)  Researcher  2000 - 2002  1,062 
Abstract
The psychosocial coronary proneness plays an important role in predicting ischaemic heart disease (IHD) morbidity and mortality, even after taking into account the main IHD risk factors. The main objective of our study is to research simultaneously involvement of both psychosocial and biological risk factors in incidence of and mortality from IHD. In order to obtain this objective we aim to examine the relationships between standard biological and psychosocial risk factors at baseline and presence or absence of IHD after 7 years of follow-up on 187 male subjects. In the other group of 187 IHD patients, the relationships between the same risk factors at baseline and death from a cardiac cause or a non-cardiac cause in last 7 years will be investigated. Results of our investigation will be used to merge both medical and psychological, primary and secondary preventive programme in the so called psychocoronary club. The effectiveness of this programme will be tested by comparing users and those on the waiting list according to the case-control model.
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