Dados de replicação para: Ovarian cancer mortality in the states of Northeast and South Brazil (1980-2019): effect of age-period and cohort

O objetivo é analisar o efeito da idade, período e coorte (APC) na mortalidade por câncer de ovário nas regiões Sul e Nordeste do Brasil. Os modelos APC foram estimados por regressão de Poisson por meio de funções estimáveis em mulheres com 30 anos ou mais residentes nos estados das regiões Sul e Nordeste. Estimados os modelos APC, verificou-se aumento nas taxas de mortalidade com o avançar da idade em todas as localidades. A região Sul apresentou redução do risco de morte nos dois últimos períodos (RR2010-2014 0,94; RR2015-2019 0,90, p<0,001) e redução do risco nas coortes de 1900 a 1929 (RR1900-04 0,55, RR1925-1929 0,89, p<0,001); perfil semelhante foi observado em todos os estados. No Nordeste, houve aumento progressivo do risco de morte nos últimos períodos, variando de 1,02 a 1,11 (2010-2014 vs. 2015-2019, p<0,001). E aumento do risco de morte nas coortes mais jovens, variando de 0,31 a 1,54 (1900-1904 vs. 1985-1989). Resultados semelhantes foram observados na maioria de seus estados isso pode estar correlacionado com os diferentes ritmos do processo de envelhecimento populacional e com as mudanças no comportamento reprodutivo das mulheres dessas duas regiões, realidade intrinsecamente ligada ao desenvolvimento socioeconômico e ao acesso aos serviços de saúde. The scope of this study was to conduct an analysis on the effect of the Age-Period-Cohort (APC) on ovarian cancer mortality in the South and Northeast regions of Brazil. The APC models were estimated by Poisson regression through estimable functions in women aged 30 and over residing in the states of the South and Northeast regions. Upon estimating the APC models, a positive gradient was found in mortality rates with advancing age in all locations The South region showed a reduction in the risk of death in the last two periods (RR2010-2014 0.94; RR2015-2019 0.90, p<0.001) and a reduction in risk in the cohorts from 1900 to 1929 (RR1900-04 0.55, RR1925-1929 0.89, p<0.001); a similar profile was observed in all states. In the Northeast, there was a progressive increase in the risk of death in the last periods, ranging from 1.02 to 1.11 (2010-2014 vs. 2015-2019, p<0.001). An increased risk of death was observed in younger cohorts, varying from 0.31 to 1.54 (cohort 1900-1904 vs. 1985-1989). Similar results were observed in most of the states.: The conclusion drawn is that heterogeneity in the APC effect on ovarian cancer mortality, which may be correlated with the different rates of the population aging process, changes in the reproductive behavior of women, and inequalities in access to health services. El objetivo es analizar el efecto de la edad, período y cohorte (EPC) sobre la mortalidad por cáncer de ovario en las regiones Sur y Nordeste de Brasil. Se estimaron modelos EPC mediante regresión de Poisson utilizando funciones estimables en mujeres de 30 años o más residentes en los estados de las regiones Sur y Nordeste. Luego de estimar los modelos EPC, se observó un aumento en las tasas de mortalidad con el avance de la edad en todas las localidades. La región Sur mostró una reducción del riesgo de muerte en los dos últimos periodos (RR2010-2014 0,94; RR2015-2019 0,90, p<0,001) y una reducción del riesgo en las cohortes de 1900 a 1929 (RR1900-04 0,55; RR1925-1929 0,89, p<0,001); Se observó un perfil similar en todos los estados. En el Nordeste, se observó un aumento progresivo del riesgo de muerte en los últimos períodos, variando de 1,02 a 1,11 (2010-2014 vs. 2015-2019, p<0,001). Y un mayor riesgo de muerte en cohortes más jóvenes, que oscila entre 0,31 y 1,54 (1900-1904 frente a 1985-1989). Resultados similares se observaron en la mayoría de sus estados, lo que puede estar correlacionado con las diferentes tasas del proceso de envejecimiento poblacional y con los cambios en el comportamiento reproductivo de las mujeres en estas dos regiones, realidad intrínsecamente ligada al desarrollo socioeconómico y al acceso a los servicios de salud. Supplementary Material Table 1. Characterization of states in the South and Northeast regions according to sociodemographic variables, health indicators and access to health services, Brazil. Supplementary Material Table S2. Analysis of the Akaike Information Criterion (AIC) in the sequential construction of age, period and cohort models for ovarian cancer fitting by estimable functions, Northeast and South, Brazil, 1980-2019. Supplementary Material Table 1. Characterization of states in the South and Northeast regions according to sociodemographic variables, health indicators and access to health services, Brazil. Supplementary Material Table S2. Analysis of the Akaike Information Criterion (AIC) in the sequential construction of age, period and cohort models for ovarian cancer fitting by estimable functions, Northeast and South, Brazil, 1980-2019. Supplementary Material Table 1. Characterization of states in the South and Northeast regions according to sociodemographic variables, health indicators and access to health services, Brazil. Supplementary Material Table S2. Analysis of the Akaike Information Criterion (AIC) in the sequential construction of age, period and cohort models for ovarian cancer fitting by estimable functions, Northeast and South, Brazil, 1980-2019. Supplementary Material Table 1. Characterization of states in the South and Northeast regions according to sociodemographic variables, health indicators and access to health services, Brazil. Supplementary Material Table S2. Analysis of the Akaike Information Criterion (AIC) in the sequential construction of age, period and cohort models for ovarian cancer fitting by estimable functions, Northeast and South, Brazil, 1980-2019.