BACKGROUND: The general trend in incidence of myocardial infarction (MI) in the Stockholm area changed from increasing to decreasing around 1980. The objective of this study is to examine time trends in incidence in major socioeconomic strata, relative risk between socioeconomic groups and population risk attributable to socioeconomic differences during this period. METHODS: All cases of MI from 1971 to 1986 were identified from hospital discharge and cause-of-death registers. Person-years for each year of follow-up were calculated from the population register in the Stockholm region 1971-1986. Census registers were used for information on socioeconomic status. Register information was individually linked through the Swedish personal identification number. Supplementary information for 1992-1994 was taken from the case-control study SHEEP (Stockholm Heart Epidemiology Program). RESULTS: The decline in MI risk among male high- and middle-level employees started in 1976 and in male manual workers in 1981. For women incidence increased from 1971 to 1986 among manual workers and decreased among high- and middle-level employees. The increase over time of the relative risk from low socioeconomic position continued into the 1990s. Despite the reduction of the category of manual workers, the population attributable risk from socioeconomic differences also increased over time. The process of social change influencing the size of the socioeconomic groups contributes to the change in time trends of MI morbidity. CONCLUSIONS: The increase over time of relative and population attributable risks of MI from low socioeconomic status add to the public health importance of social inequity.
BACKGROUND: The general trend in incidence of myocardial infarction (MI) in the Stockholm area changed from increasing to decreasing around 1980. The objective of this study is to examine time trends in incidence in major socioeconomic strata, relative risk between socioeconomic groups and population risk attributable to socioeconomic differences during this period. METHODS: All cases of MI from 1971 to 1986 were identified from hospital discharge and cause-of-death registers. Person-years for each year of follow-up were calculated from the population register in the Stockholm region 1971-1986. Census registers were used for information on socioeconomic status. Register information was individually linked through the Swedish personal identification number. Supplementary information for 1992-1994 was taken from the case-control study SHEEP (Stockholm Heart Epidemiology Program). RESULTS: The decline in MI risk among male high- and middle-level employees started in 1976 and in male manual workers in 1981. For women incidence increased from 1971 to 1986 among manual workers and decreased among high- and middle-level employees. The increase over time of the relative risk from low socioeconomic position continued into the 1990s. Despite the reduction of the category of manual workers, the population attributable risk from socioeconomic differences also increased over time. The process of social change influencing the size of the socioeconomic groups contributes to the change in time trends of MI morbidity. CONCLUSIONS: The increase over time of relative and population attributable risks of MI from low socioeconomic status add to the public health importance of social inequity.
Entities:
Keywords:
Causes Of Death; Demographic Factors; Developed Countries; Differential Mortality; Diseases; Economic Factors; Europe; Health; Heart Diseases; Mortality; Mortality Decline; Northern Europe; Population; Population At Risk; Population Dynamics; Public Health; Research Methodology; Scandinavia; Socioeconomic Factors; Socioeconomic Status; Sweden; Time Factors
Authors: Carina Wennerholm; Björn Grip; Annakarin Johansson; Hans Nilsson; Marja-Liisa Honkasalo; Tomas Faresjö Journal: Int J Health Geogr Date: 2011-01-12 Impact factor: 3.918
Authors: M Osler; L U Gerdes; M Davidsen; H Brønnum-Hansen; M Madsen; T Jørgensen; M Schroll Journal: J Epidemiol Community Health Date: 2000-02 Impact factor: 3.710
Authors: Kathryn M Rose; Chirayath M Suchindran; Randi E Foraker; Eric A Whitsel; Wayne D Rosamond; Gerardo Heiss; Joy L Wood Journal: Ann Epidemiol Date: 2009-10-07 Impact factor: 3.797