TIME TRENDS IN MORTALITY FROM BREAST CANCER BY AGE GROUP IN THE STATE OF GOIAS AND IN BRAZIL BETWEEN 1990 AND 2010

Mariana Machado Alves Andrade, Ângela Alves Viegas, Thiago Santos, Lucas Almeida Carvalho, Vitória Martins Braga, Isabel Cristina Rodrigues de Siqueira, Marília Ferreira da Cunha Silva

 

Institution: Centro Universitário de Anápolis-GO– UniEvangélica


OBJECTIVE: To analyze time trends in breast cancer mortality rate (BCMR) by age groups in the state of Goias and Brazil. METHODS: Ecological study of time series. It was used the annual female BCMR from 1990 to 2010, found in the Mortality Information System of the Brazilian Ministry of Health, according to the age group starting from the age of 30. A first-order autoregressive linear model was applied. The response variable was the logarithm of the mortality rate. RESULTS: The BCMR in Goias was 31 % lower than Brazilian BCMR (F=117.7, gl=1, p<0.001). Analyzing BCMR according to age, as the age increases was observed that the difference becomes increasingly greater, mainly over 80 years old (Goias: 45.79; Brazil: 85.06). There was no significant difference in the time trend of BCMR between Goias and Brazil. The statistical model showed that BCMR generally increased 0.13% yearly (F = 24.75, gl = 1, p < 0.001) regardless of age group. The BCMR for the age group from 30 to 49 was lower than the overall average of BCMR (30 to 39 years, 81% lower, 40 to 49 years, 37.7% lower) while from 50 years the BCMR was higher than the overall average of BCMR (50 to 59 years, 19.22% higher; 60 to 69, 45.68% higher; 70 to 79 years, 90.85% higher; and from 80 years, 152.78% higher). CONCLUSION: The analysis of the time trend showed a similarly increase of BCMR in both geographical areas, despite the lower mortality in Goias, especially among the elderly. It’s unclear whether Brazil and Goias BCMR increase shares causing factors. Knowing such factors would determine if Brazil wide prevention and health promoting actions would be as effective in Goias state.


Keywords: Epidemiology, Breast neoplasms, Information System