Viver mais e melhor? Estimativas de expectativa de vida saudável para a população brasileira

Camargos, Mirela Castro Santos; Gonzaga, Marcos Roberto

doi:10.1590/0102-311x00128914

Cited by 59 publications

(63 citation statements)

References 26 publications

(38 reference statements)

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“…In national health surveys, self-rated health and self-reported diagnosis of chronic non-communicable diseases have been broadly used to establish differences in morbidity among population groups [21–23]. Health indicators that combine mortality data with morbidity or health status data have also been proposed for evaluating health care and prevention programs by placing greater emphasis on the quality of life in later years [24, 25]. …”

Section: Introductionmentioning

confidence: 99%

Inequalities in healthy life expectancy by Brazilian geographic regions: findings from the National Health Survey, 2013

Szwarcwald

Júnior

Marques

et al. 2016

Int J Equity Health

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BackgroundThe demographic shift and epidemiologic transition in Brazil have drawn attention to ways of measuring population health that complement studies of mortality. In this paper, we investigate regional differences in healthy life expectancy based on information from the National Health Survey (PNS), 2013.MethodsIn the survey, a three-stage cluster sampling (census tracts, households and individuals) with stratification of the primary sampling units and random selection in all stages was used to select 60,202 Brazilian adults (18 years and over). Healthy life expectancies (HLE) were estimated by Sullivan’s method according to sex, age and geographic region, using poor self-rated health for defining unhealthy status. Logistic regression models were used to investigate socioeconomic and regional inequalities in poor self-rated health, after controlling by sex and age.ResultsWide disparities by geographic region were found with the worst indicators in the North and Northeast regions, whether considering educational attainment, material deprivation, or health care utilization. Life expectancy at birth for women and men living in the richest regions was 5 years longer than for those living in the less wealthy regions. Modeling the variation across regions for poor self-rated health, statistically significant effects (p < 0.001) were found for the North and Northeast when compared to the Southeast, even after controlling for age, sex, diagnosis of at least one non-communicable chronic disease, and schooling or socioeconomic class. Marked regional inequalities in HLE were found, with the loss of healthy life much higher among residents of the poorest regions, especially among the elderly.ConclusionsBy combining data on self-rated health status and mortality in a single indicator, Healthy Life Expectancy, this study demonstrated the excess burden of poor health experienced by populations in the less wealthy regions of Brazil. To mitigate the effects of social exclusion, the development of strategies at the regional level is essential to provide health care to all persons in need, reduce risk exposures, support prevention policies for adoption of healthy behaviors. Such strategies should prioritize population groups that will experience the greatest impact from such interventions.

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Section: Introductionmentioning

confidence: 99%

Inequalities in healthy life expectancy by Brazilian geographic regions: findings from the National Health Survey, 2013

Szwarcwald

Júnior

Marques

et al. 2016

Int J Equity Health

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“…A principal vantagem do método de Sullivan é a necessidade apenas de dados transversais. O método de Sullivan é a principal técnica empregada para estimar expectativa de vida saudável [23][24][25] . A expectativa de vida com osteoporose (EVCOx), como pode ser observado na Equação 1, é definida como:…”

Section: ▄ Introduçãounclassified

Osteoporose e Expectativa de Vida Saudável: estimativas para o Brasil em 2008

Camargos

Bomfim

2017

Cad. saúde colet.

Self Cite

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Resumo Introdução Estimar a expectativa de vida com osteoporose (EVCO) e a expectativa de vida livre de osteoporose (EVLH) ao nascer e aos 20, 40, 60 e 80 anos, no Brasil, em 2008. Método Empregou-se o método de Sullivan, combinando a tábua de vida e as prevalências de osteoporose. Foram utilizadas as tábuas de vida publicadas pelo Instituto Brasileiro de Geografia e Estatística para 2008 e as prevalências de osteoporose do inquérito Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (VIGITEL) do mesmo ano. Resultados Em 2008, ao nascer, um homem poderia esperar viver, em média, 69,1 anos e, desses, 1,3 ano seria vivido com osteoporose. No caso das mulheres, a esperança de vida seria maior (76,7 anos), assim como a expectativa de vida com osteoporose (7,9 anos). Ao alcançar a idade de 60 anos, as mulheres poderiam esperar viver, em média, por mais 22,7 anos, sendo 7,0 desses anos (31,0%) com osteoporose. Já para os homens, na mesma idade, apenas 1,3 ano (6,6%) dos 19,5 anos remanescentes seriam vividos com osteoporose. Conclusão Os resultados chamam atenção para a necessidade de considerar as diferenças entre os sexos em relação à demanda por cuidado.

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“…8 Women have a higher life expectancy, compared to men, featuring the feminization of old age, which results in greater involvement of this sex in older age groups. 9 Given its complex approach, the definition of attitude and its measurement has been discussed in the psychosocial field. Contrary to common sense, attitudes are not measured by actions or behaviors but developed through a set of values that is accepted by the social environment.…”

Section: Discussionmentioning

confidence: 99%

Attitude Toward Leisure Among the Community-Dwelling Elderly: An Interface for Health Promotion

Ferrari

Baldissera²,

Lange

et al. 2016

Texto contexto - enferm.

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A cross-sectional study with quantitative approach carried out with 387 community-dwelling elderly to identify their attitudes toward leisure activities in the cognitive, affective and behavioral dimensions. Data were analyzed using descriptive statistics, Fisher's association test and Spearman's correlation. Most participants were female, aged up to 80 years, married and had up to four years of schooling. The elderly had a predominantly positive attitude toward leisure in the three subscales, with a lower mean for the behavioral subscales, which indicated that some elders had a negative attitude. This was significantly associated with age, educational attainment, smoking status and functional capacity. In conclusion, a positive attitude and greater involvement in leisure activities allows health professionals to raise a critical reflection in the elderly, especially in their behavioral attitude to rethink the planning, opportunities and resources for leisure.

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Viver mais e melhor? Estimativas de expectativa de vida saudável para a população brasileira

Cited by 59 publications

References 26 publications

Inequalities in healthy life expectancy by Brazilian geographic regions: findings from the National Health Survey, 2013

Inequalities in healthy life expectancy by Brazilian geographic regions: findings from the National Health Survey, 2013

Osteoporose e Expectativa de Vida Saudável: estimativas para o Brasil em 2008

Attitude Toward Leisure Among the Community-Dwelling Elderly: An Interface for Health Promotion

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