[Statute of the Elderly: analysis of the factors associated with awareness of the statute among the elderly Brazilian population].

The scope of this article is to analyze the factors associated with awareness of the Statute of the Elderly by the non-institutionalized Brazilian population aged 60 years and older. It involves a cross-sectional and exploratory study, which used data from the Longitudinal Study of Health of Elderly Brazilians (ELSI-Brasil) conducted in 2015 and 2016. Statistical analysis was assessed by means of the chi-square test and with the use of binary logistic models.

Gender and education inequalities in dynapenia-free life expectancy: ELSI-Brazil.

Objective: To estimate the dynapenia-free life expectancy among community-dwelling older Brazilian adults and evaluate gender-related and educational differences.

Methods: This is a cross-sectional study. The data were obtained from the Estudo Longitudinal da Saúde dos Idosos Brasileiros (ELSI-Brazil - Brazilian Longitudinal Study of Aging), conducted from 2015 to 2016 in Brazil.

[Social integration profiles among non-frail elderly institutionalized individuals in Natal, State of Rio Grande do Norte, Brazil].

The scope of this study was to profile non-frail elderly individuals in Long-Stay Care Institutions in Natal, emphasizing social integration and stratification in philanthropic and private institutions in 2012. The instrument used was the Brazil Old Age Schedule (BOAS). Descriptive analysis was carried out and sociodemographic and health profiles of the elderly were estimated using the Grade of Membership (GoM) scale to obtain social integration typologies.

Disability-free life expectancy estimates for Brazil and Major Regions, 1998 and 2013.

Life expectancy at age 60 in Brazil has increased by around nine years in a little over 50 years. This general gain in life expectancy at national level has been heterogeneous across the country's major regions. Furthermore, little is known about how increases in life expectancy at age 60 across regions influence the number of years lived with some form of associated disability or the number of years lived free from disability.

[Live longer and better? Estimates of healthy life expectancy in the Brazilian population].

This study analyzed differences in healthy life expectancy in the elderly based on three health dimensions in Brazil from 1998 to 2008: disability-free life expectancy, healthy life expectancy based on self-rated health, and chronic disease-free life expectancy. The Sullivan method was used, combining life tables from the Brazilian Institute of Geography and Statistics (IBGE) and interval estimates of the prevalence of functional disability, self-rated health, and chronic diseases according to the Brazilian National Household Sample Survey (PNAD, 1998 and 2008). Besides the increase in life expectancy, the study showed significant and similar increases in disability-free life expectancy and healthy life expectancy based on self-rated health at almost all ages.

[Estimates of life expectancy for individuals with chronic spinal diseases in Brazil].

Chronic spinal diseases, including deformities and muscular pain, are significant causes of morbidity among adults and the elderly. The scope of this study is to assess the life expectancy of Brazilians with chronic spinal diseases by sex and age between 2003 and 2008. The Sullivan method was used, combining the mortality/actuarial table with the prevalence of chronic spinal diseases.

[Healthy life expectancy to Brazilian elders, 2003].

The increase of the percentage of elderly population in Brazil and the increase in longevity incite a demand for information on the quantity of years spent in good health. The aim of the present study is to measure the life expectancy for the elderly of 60 years and above, by sex and age, in the year of 2003. The Sullivan method was used, which combined the life-table with the current experience of mortality and the self-perceived health.

Life expectancy among elderly Brazilians in 2003 according to different levels of functional disability.

The aim of the present study was to estimate disability-free life expectancy for the Brazilian elderly in 2003, by gender and age, based on different concepts of functional disability. The Sullivan method is used to combine the period life tables from the Brazilian Institute of Geography and Statistics (IBGE, 2003) and the prevalence of functional disability according to the 2003 National Sample Household Survey (PNAD 2003). The main results of the study indicate that at age 60, Brazilian men can expect to live 19 years, 39% with mild, 21% with moderate, and 14% with severe functional disability, respectively.

Disability life expectancy for the elderly, city of Sao Paulo, Brazil, 2000: gender and educational differences.

There is evidence that 'health life expectancy' (expected number of years to be lived in health) differs by socioeconomic status. Time spent in health or disability plays a critical role in the use of health care services. The objective of this study was to estimate 'disability life expectancy' by age, gender and education attainment for the elderly of the city of São Paulo, Brazil, in the year 2000.

[Life expectancy with functional disability in elderly persons in São Paulo, Brazil].

Objective: For persons 60 years of age or older living in the city of São Paulo, Brazil, in the year 2000 to estimate four characteristics: (1) life expectancy free of functional disability, (2) life expectancy with functional disability, (3) life expectancy with functional disability but without dependence, and (4) life expectancy with functional disability and dependence.

Methods: The estimates of the four characteristics were calculated by means of a life table constructed based on the method proposed by Sullivan. The basic data used for the calculations were the elderly population estimated for the city of São Paulo as of mid-2000, obtained from the demographic censuses of 1991 and 2000, and deaths in the elderly population, obtained from the State Data Analysis System Foundation (Fundação Sistema Estadual de Análise de Dados, or SEADE) of the state of São Paulo.