Ageing and functioning: understanding trajectory analysis and its applicability
| Grant number: | 16/19696-3 |
| Support type: | Scholarships in Brazil - Doctorate |
| Effective date (Start): | June 01, 2017 |
| Effective date (End): | December 15, 2019 |
| Field of knowledge: | Health Sciences - Collective Health - Epidemiology |
| Cooperation agreement: | Coordination of Improvement of Higher Education Personnel (CAPES) |
| Principal Investigator: | José Leopoldo Ferreira Antunes |
| Grantee: | Etienne Larissa Duim Negrini |
| Home Institution: | Faculdade de Saúde Pública (FSP). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated research grant: | 14/50649-6 - SABE study: a longitudinal study of multiple cohorts on the elderly life and health conditions in the municipality of São Paulo - cohort 2015, AP.TEM |
| Associated scholarship(s): | 18/02401-6 - Ageing and functioning: understanding trajectory analysis and its applicability, BE.EP.DR |
Abstract AbstractAgeing in the current society is heterogeneous and dynamic. This is a process influenced by biological and psychological characteristics, lifestyle habits, as well as social determinants of health, such as socioeconomic and environmental characteristics to which individuals are exposed throughout life. The combination of these characteristics may contribute to different profiles, some people experience a successful ageing, others experience an old age with restrictions, functional impairment and disabilities. The physical functioning can be assessed by basic activities of daily living, instrumental activities and the condition of mobility. The aim of this study is to assess trajectories of ageing, based on the functional status of community-dwelling older persons living in São Paulo. This study observes a longitudinal design, and will evaluate changes in functioning over 16 years, using data from four waves of the SABE (Health, Wellbeing and Aging) Study. The objectives are to classify older adults according to their trajectories of ageing, and to assess which characteristics may influence these trajectories. These trajectories will be based on three functional status outcomes: self-reported activities of daily living (such as feeding, bathing, dressing, transferring from the bed, using the toilet and the ability to walk small distances), instrumental activities associated with community life (as using means of transport, handling their own money, preparing meals, using the telephone, wash clothes, take care of household chores and control their own medication), mobility is also an outcome to be evaluated. Participants will be classified according to how they perform on these outcomes of functional conditions in each wave of the study. We will use cluster analysis to classify individuals as having a successful, vulnerable or accelerated ageing trajectory. After defining these ageing trajectories, we will fit multinomial logistic regression models to assess how each trajectory relates to current and previous life aspects (demographic, socioeconomic and behavioral conditions and health status). (AU) | |