BACKGROUND: @entity0 is the most frequent @entity5 in @entity1 and the incidence has increased over time. Our objectives were to study: (1) the socioeconomic differences in @entity0 incidence and mortality in Denmark, (2) how different socioeconomic groups have contributed to the increasing incidence, (3) whether the diverging trend between @entity0 incidence and mortality reflects different socioeconomic distributions of @entity0 cases and @entity0 , and (4) to compare measures of socioeconomic status based on own and spouses' occupation, respectively. We addressed these questions by studying the socioeconomic distribution of @entity0 incidence and @entity0 mortality in Danish @entity1 during the last 25 years. METHODS: In all 1 402 225 @entity1 in Denmark were individually followed up for @entity204 , emigration, and incident @entity0 in 1970-1995. Of the 1 402 225 @entity1 included in the study, 730 549 were economically active in 1970, and 480 379 @entity1 were both married and economically active. Socioeconomic status was assessed based on the occupation in 1970. RESULTS: For all @entity1 classified by their own socioeconomic group, the standardized incidence (SIR) and the standardized mortality ratios (SMR) were highest in academics (SIR = 1.39, SMR = 1.29), and lowest in @entity1 in agriculture (SIR = 0.77, SMR = 0.75). For married, economically active @entity1 classified by their own socioeconomic group the SIR and SMR were highest in academics (SIR = 1.40, SMR = 1.44) and lowest in @entity1 in agriculture (SIR = 0.76, SMR = 0.76). Classified by their husbands' socioeconomic group, the SIR and SMR were highest in @entity1 married to academics (SIR = 1.21, SMR = 1.16) and lowest in @entity1 married to @entity1 in agriculture (SIR = 0.79, SMR = 0.79). From 1970 to 1995, the risk of developing @entity0 increased by 38% in @entity1 aged 50-64. All social groups contributed to this increase, the increase being 45% in unskilled workers, and 26% in academics. CONCLUSION: During the last quarter of the 20th century academics had the highest risk of @entity0 in Denmark. The size of the social gradient in @entity0 occurrence depended on the measure used. The time trends in social distribution will result in @entity0 becoming more frequent.

Socioeconomic status and XXXX in Denmark.

@entity5 :: ('MESH:D009369', 'Disease') :: ['cancer'] @entity1 :: ('9606', 'Species') :: ['women', 'men'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death'] @entity0 :: ('MESH:D001943', 'Disease') :: ['Breast cancer', 'breast cancer', 'breast cancer deaths']
@entity0 :: (MESH:D001943,Disease) :: ['breast cancer']
