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Levealder og dödsårsaker hos menn undersökt ved helsekontroll i 1964
Engelsk titel: Life expectancy and cause of death in men examined at medical check-ups in 1964 Läs online Författare: Bjerkedal, Tor ; Kristensen, Petter ; Selmer, Randi Språk: Nor Antal referenser: 29 Dokumenttyp: Artikel UI-nummer: 12011451

Tidskrift

Tidsskrift for Den Norske Laegeforening 2012;132(1)30-5 ISSN 0029-2001 E-ISSN 0807-7096 KIBs bestånd av denna tidskrift Denna tidskrift är expertgranskad (Peer-Reviewed)

Sammanfattning

Background. The purpose of the study was to determine the associations between blood pressure, body mass index and smoking habits recorded at routine medical check-ups with the company medical officer, and life expectancy and cause-specific mortality through several decades. Material and method. Participants in the Linseed Oil Trial were monitored from 1967 through 2005 with respect to all-cause and cause-specific mortality in the Cause of Death Register. The population studied consisted of 15 934 men who were born between 1905 and1914 and were in work in 1967. The analyses used various multivariate regression methods. Results. A total of 15 535 participants (97.5?%) were dead, and the average age of death was 76.6 (SD 9.1). Blood pressure, body mass index and cigarette smoking were associated with the age of death and mortality due to cardiovascular disease, lung cancer and respiratory system diseases. High systolic blood pressure (= 160 mm Hg) was associated with a 5-year reduction in life expectancy, 15 cigarettes daily with 3.5 years, obesity with 1.4 years and a definite elevated sedimentation rate with a 3.3 year reduction in life expectancy. The excess mortality persisted through the entire follow-up period for all factors, but declined gradually for high blood pressure and high sedimentation rate. The associations for smoking and obesity did not change over time. The associations for smoking were weaker than in most early studies. Interpretation. The results of routine medical check-ups in the occupational health service can predict lost years of life through several decades.