Banca de QUALIFICAÇÃO: AMADEU CLEMENTINO ARAUJO NETO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : AMADEU CLEMENTINO ARAUJO NETO
DATE: 16/02/2023
TIME: 14:00
LOCAL: Videoconferência via PPGDem/UFRN
TITLE:

Ovarian cancer mortality from a demographic perspective

KEY WORDS:

Ovarian cancer; reproductive behavior; demography; effect of age, period and cohort; Logistic models

PAGES: 60
BIG AREA: Ciências Sociais Aplicadas
AREA: Demografia
SUMMARY:

Ovarian cancer is highly associated with changes in women's reproductive behavior, constituting the seventh most incident cancer and the eighth cause of cancer death in women. The main factors associated with ovarian cancer can be classified as family history (alterations in the Brca1 and Brca2 genes), reproductive factors (nulliparity, lactation, use of oral contraceptives, tubal ligation, and hysterectomy), factors related to habits and lifestyle (smoking, increased consumption of meat and fats, and physical inactivity) and occupational exposure (asbestos). At the population level, the differentials in incidence and mortality from this neoplasm are correlated with the population's age structure, especially with population aging and the reduction in the fertility rate. It is noteworthy that reproductive factors (nulliparity, not using oral contraceptives, never having breastfed) are responsible for more than 80% of the population's attributable risk of ovarian cancer. They knew that the temporal evolution of the incidence and mortality of health problems are influenced by three temporal factors: age, period, and cohort. Thus, the present dissertation aims to evaluate the effect of age, period, and cohort in Brazilian states that present essential differences in the reproductive behavior of women, the states of the Northeast and South of the country, for mortality from ovarian cancer, in the period from 1980 to 2019, in the age group of 30 to 80 years. Death records will be extracted from the Mortality Information System (SIM/DATASUS), and population data will be obtained from the Brazilian Institute of Statistics and Geography (IBGE).Moreover, they will be corrected in three stages: (1) proportional redistribution by year and age group of deaths classified as ill-defined causes, using the methodology proposed by the World Health Organization (WHO) 17: and (2) proportional redistribution by year and age range of records classified as preliminary diagnosis of general cancer: 195 (ICD-9) and C76 (ICD-10); 196 (ICD-9) and C77 (ICD-10); 197 (ICD-9) and C78 (ICD-10); 198 (ICD-9) and C79 (ICD-10); 199 (ICD-9) and C80 (ICD-10);(3) After step 2, the death records corrected for information quality will be corrected for under-enumeration. Subsequently, standardized rates will be calculated by the direct method, using the population proposed by Seigi as a standard. APC models will be estimated using estimable functions proposed by Holford and implemented by Carstensen.

COMMITTEE MEMBERS:
Interna - 1225734 - JORDANA CRISTINA DE JESUS
Externo à Instituição - JULIANO DOS SANTOS - INCA
Presidente - 1855608 - KARINA CARDOSO MEIRA