Mortality due to breast cancer in a region of high socioeconomic vulnerability in Brazil: Analysis of the effect of age-period and cohort

被引:7
|
作者
de Araujo Santos Camargo, Juliana Dantas [1 ]
dos Santos, Juliano [2 ]
Simoes, Taynana Cesar [3 ]
Leite de Carvalho, Jovanka Bittencourt [4 ]
dos Santos Silva, Glauber Weder [5 ]
Oliveira Dantas, Eder Samuel [6 ]
da Silva Rodrigues, Weverton Thiago [1 ]
Miranda de Araujo Freire, Flavio Henrique [1 ]
Meira, Karina Cardoso [1 ,4 ]
机构
[1] Univ Fed Rio Grande do Norte, Grad Program Demog, Natal, RN, Brazil
[2] Natl Canc Inst, Canc Hosp 3, Rio De Janeiro, RJ, Brazil
[3] Fundacao Oswaldo Cruz, Rene Rachou Inst, Belo Horizonte, MG, Brazil
[4] Univ Fed Rio Grande do Norte, Hlth Sch, Natal, RN, Brazil
[5] Univ Fed Rio Grande do Norte, Dept Nursing, Natal, RN, Brazil
[6] Univ Fed Rio Grande do Norte, Onofre Lopes Univ Hosp, Natal, RN, Brazil
来源
PLOS ONE | 2021年 / 16卷 / 08期
关键词
NATIONAL-HEALTH SYSTEM; CERVICAL-CANCER; TRENDS; SURVIVAL; WOMEN; COUNTRIES; RISK; EPIDEMIOLOGY; FERTILITY; DIAGNOSIS;
D O I
10.1371/journal.pone.0255935
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction Breast cancer is an important public health problem worldwide, with important disparities in incidence, mortality, and survival rates between developed and developing countries due to inequalities regarding access to measures for the prevention and treatment of the disease. In Brazil, there are higher rates of incidence and a downward trend in mortality in regions of greater socioeconomic development. Objective To evaluate the effect of age, period, and birth cohort on breast cancer mortality in women aged 20 years and older in the states of the Northeast Region of Brazil, an area of high socioeconomic vulnerability, from 1980 to 2019. Methods The death records were extracted from the DATASUS Mortality Information System website (Department of National Health Informatics) from the Ministry of Health of Brazil. Estimable functions were used to estimate the age-period and cohort models (APC) using the Epi library from the R statistical software version 6.4.1. Results The average breast cancer mortality rate for the period was 20.45 deaths per 100,000 women. The highest coefficients per 100,000 women were observed in the states of Pernambuco (21.09 deaths) and Ceara (20.85 deaths), and the lowest in Maranhao (13.58 deaths) and Piaui (15.43 deaths). In all of the locations, there was a progressive increase in mortality rates in individuals over 40 years of age, with higher rates in the last five-year period (2015-2019). There was an increase in the risk of death for the five-year period of the 2000s in relation to the reference period (1995-1999) in the Northeast region and in the states of Alagoas, Bahia, Maranhao, Paraiba, and Piaui. In addition, there was an increased risk of death for women born after the 1950s in all locations. Conclusion The highest mortality rates in all five-year periods analyzed were observed in states with greater socioeconomic development, with an increase in mortality rates in the 2000s, and a higher risk of death in the younger cohorts.
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页数:28
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