Arch Gerontol Geriatr
January 2020
Background: The Brazilian population is aging rapidly and it is necessary to establish tools to map the elderly population regarding its frailty, which is a common adverse condition during the aging process. The National Health Survey (PNS in Portuguese) data makes it possible.
Objective: This study aimed to construct a frailty index (FI) of the elderly Brazilian population using the PNS data, in order to compare it with the index of other population and to measure its association with social factors.
Objective: To identify the main determinants of cellular atypia detection in the cervical screening program in the state of Rio de Janeiro, Brazil, using data from the Cervical Cancer Information System SISCOLO.
Methods: A random sample of 65 535 Pap smears performed in 2007 was obtained from SISCOLO. This sample was used to produce a logistic regression model to identify variables that impact the process of detecting cellular atypia.
This paper aims at to present the integration of the files of the Brazilian Cervical Cancer Information System (SISCOLO) in order to identify all women in the system. SISCOLO has the exam as the unit of observation and the women are not uniquely identified. It has two main tables: histology and cytology, containing the histological and cytological examinations of women, respectively.
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