Intra-urban spatial variability of breast and cervical cancer mortality in the city of São Paulo: analysis of associated factors

Revista Brasileira de Epidemiologia

article

Diniz, Carmen Simone Grilo¹  Bermudi, Patricia Marques Moralejo¹  Failla, Marcelo Antunes²  Baquero, Oswaldo Santos¹  Chiaravalloti-Netto, Francisco¹  Aguiar, Breno Souza de²  Pellini, Alessandra Cristina Guedes³  Rebolledo, Elizabeth Angélica Salinas¹  Ribeiro, Adeylson Guimarães⁴ 

[1] Universidade de São Paulo;Secretaria Municipal da Saúde de São Paulo;Universidade Nove de Julho;Hospital de Câncer de Barretos

关键词: Breast neoplasm;    Uterine cervical neoplasm;    Mortality;    Spatial regression;   

DOI  :  10.1590/1980-549720230008

学科分类：社会科学、人文和艺术（综合）

来源: SciELO

【 摘 要 】

Objective: To identify spatial variability of mortality from breast and cervical cancer and to assess factors associated in the city of São Paulo.Methods: Between 2009 and 2016, 10,124 deaths from breast cancer and 2,116 deaths from cervical cancer were recorded in the Mortality Information System among women aged 20 years and over. The records were geocoded by address of residence and grouped according to Primary Health Care coverage areas. A spatial regression modeling was put together using the Bayesian approach with a Besag-York-Mollié structure to verify the association of deaths with selected indicators.Results: Mortality rates from these types of cancer showed inverse spatial patterns. These variables were associated with breast cancer mortality: travel time between one and two hours to work (RR – relative risk: 0.97; 95%CI – credible interval: 0.93–1.00); women being the head of the household (RR 0.97; 95%CI 0.94–0.99) and deaths from breast cancer in private health institutions (RR 1.04; 95%CI 1.00–1.07). The following variables were associated with mortality from cervical cancer: travel time to work between half an hour and one hour (RR 0.92; 95%CI 0.87–0.98); per capita household income of up to 3 minimum wages (RR 1.27; 95%CI 1.18–1.37) and ratio of children under one year of age related to the female population aged 15 to 49 years (RR 1.09; 95%CI 1.01–1.18).Conclusion: The predicted RR for mortality from these cancers were calculated and associated with the socioeconomic conditions of the areas covered.

【 授权许可】

CC BY-NC