Cancer mortality differences among urban and rural residents in Lithuania

BMC Public Health. 2008 Feb 12:8:56. doi: 10.1186/1471-2458-8-56.

Abstract

Background: The aim of this study was to describe and to compare the cancer mortality rates in urban and rural residents in Lithuania.

Methods: Cancer mortality has been studied using the materials of the Lithuanian cancer registry. For the period 1993-2004 age-standardized urban and rural population mortality rates (World standard) were calculated for all malignant neoplasm's and for stomach, colorectal, lung, prostate, breast and cervical cancers. The annual percentage change (APC) was calculated using log-linear regression model, two-sided Mantel-Haenzel test was used to evaluate differences in cancer mortality among rural and urban populations.

Results: For males in rural population cancer mortality was higher than in urban (212.2 and 197.0 cases per 100000) and for females cancer mortality was higher in urban population (103.5 and 94.2 cases per 100000, p < 0.05). During the study period the age-standardized mortality rates decreased in both sexes in urban residents. The decreasing mortality trend in urban population was contributed by decline of the rates of lung and stomach cancer in male and breast, stomach and colorectal cancer in female. Mortality rates in both urban and rural population were increasing for prostate and cervical cancers.

Conclusion: This study shows that large rural and urban inequalities in cancer mortality exist in Lithuania. The contrast between the health of residents in urban and rural areas invites researchers for research projects to develop, implement, and enhance cancer prevention and early detection intervention strategies for rural populations.

Publication types

  • Comparative Study

MeSH terms

  • Confidence Intervals
  • Death Certificates
  • Female
  • Humans
  • Incidence
  • Lithuania / epidemiology
  • Male
  • Neoplasms / classification
  • Neoplasms / mortality*
  • Registries*
  • Residence Characteristics
  • Risk Assessment*
  • Risk Factors
  • Rural Health / statistics & numerical data*
  • Sex Distribution
  • Survival Analysis
  • Urban Health / statistics & numerical data*