Intra-urban differences in breast cancer mortality: a study from the city of Malmö in Sweden

J Epidemiol Community Health. 2000 Apr;54(4):279-85. doi: 10.1136/jech.54.4.279.

Abstract

Study objective: To assess whether in an urban population stage at breast cancer diagnosis is related to area of living and to what extent intra-urban differences in breast cancer mortality are related to incidence respectively stage at diagnosis.

Design: National registries were used to identify cases. Mortality in 17 residential areas was studied in relation to incidence and stage distribution using linear regression analysis. Areas with high and low breast cancer mortality, incidence and proportion of stage II+ tumours at diagnosis were also compared in terms of their sociodemographic profile.

Setting: City of Malmö in southern Sweden.

Patients: The 1675 incident breast cancer cases and 448 deaths that occurred in women above 45 years of age in Malmö 1986-96.

Main results: Average annual age standardised breast cancer mortality ranged between residential areas, from 35/10(5) to 107/10(5), p = 0.04. Mortality of breast cancer was not correlated to incidence, r = 0.22, p = 0.39. The ratio of stage II+/0-I cancer incidence varied between areas from 0.45 to 1.99 and was significantly correlated to breast cancer mortality, r = 0.53, p = 0.03. Areas with high proportion of stage II+ cancers and high mortality/incidence ratio were characterised by a high proportion of residentials receiving income support, being foreigners and current smokers.

Conclusions: Within this urban population there were marked differences in breast cancer mortality between residential areas. Stage at diagnosis, but not incidence, contributed to the pattern of mortality. Areas with high proportion of stage II+ tumours differed unfavourably in several sociodemographic aspects from the city average.

MeSH terms

  • Aged
  • Breast Neoplasms / diagnosis
  • Breast Neoplasms / epidemiology
  • Breast Neoplasms / mortality*
  • Female
  • Humans
  • Incidence
  • Linear Models
  • Mammography
  • Middle Aged
  • Neoplasm Staging
  • Registries*
  • Residence Characteristics / statistics & numerical data*
  • Socioeconomic Factors
  • Survival Analysis
  • Sweden / epidemiology
  • Urban Population / statistics & numerical data*