840 resultados para Expectancy at birth


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Background: Although mortality and health inequalities at birth have increased both geographically and in socioeconomic terms, little is known about inequalities at age 85, the fastest growing sector of the population in Great Britain (GB).

Aim: To determine whether trends and drivers of inequalities in life expectancy (LE) and disability-free life expectancy (DFLE) at age 85 between 1991 and 2001 are the same as those at birth.

Methods: DFLE at birth and age 85 for 1991 and 2001 by gender were calculated for each local authority in GB using the Sullivan method. Regression modelling was used to identify area characteristics (rurality, deprivation, social class composition, ethnicity, unemployment, retirement migration) that could explain inequalities in LE and DFLE.

Results: Similar to values at birth, LE and DFLE at age 85 both increased between 1991 and 2001 (though DFLE increased less than LE) and gaps across local areas widened (and more for DFLE than LE). The significantly greater increases in LE and DFLE at birth for less-deprived compared with more-deprived areas were still partly present at age 85. Considering all factors, inequalities in DFLE at birth were largely driven by social class composition and unemployment rate, but these associations appear to be less influential at age 85.

Conclusions: Inequalities between areas in LE and DFLE at birth and age 85 have increased over time though factors explaining inequalities at birth (mainly social class and unemployment rates) appear less important for inequalities at age 85.

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Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6–6·6), from 65·3 years (65·0–65·6) in 1990 to 71·5 years (71·0–71·9) in 2013, HALE at birth rose by 5·4 years (4·9–5·8), from 56·9 years (54·5–59·1) to 62·3 years (59·7–64·8), total DALYs fell by 3·6% (0·3–7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6–29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non–communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition—in which increasing sociodemographic status brings structured change in disease burden—is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions.

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Background Up-to-date evidence on levels and trends for age-sex-specific all-cause and cause-specific mortality is essential for the formation of global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013) we estimated yearly deaths for 188 countries between 1990, and 2013. We used the results to assess whether there is epidemiological convergence across countries. Methods We estimated age-sex-specific all-cause mortality using the GBD 2010 methods with some refinements to improve accuracy applied to an updated database of vital registration, survey, and census data. We generally estimated cause of death as in the GBD 2010. Key improvements included the addition of more recent vital registration data for 72 countries, an updated verbal autopsy literature review, two new and detailed data systems for China, and more detail for Mexico, UK, Turkey, and Russia. We improved statistical models for garbage code redistribution. We used six different modelling strategies across the 240 causes; cause of death ensemble modelling (CODEm) was the dominant strategy for causes with sufficient information. Trends for Alzheimer's disease and other dementias were informed by meta-regression of prevalence studies. For pathogen-specific causes of diarrhoea and lower respiratory infections we used a counterfactual approach. We computed two measures of convergence (inequality) across countries: the average relative difference across all pairs of countries (Gini coefficient) and the average absolute difference across countries. To summarise broad findings, we used multiple decrement life-tables to decompose probabilities of death from birth to exact age 15 years, from exact age 15 years to exact age 50 years, and from exact age 50 years to exact age 75 years, and life expectancy at birth into major causes. For all quantities reported, we computed 95% uncertainty intervals (UIs). We constrained cause-specific fractions within each age-sex-country-year group to sum to all-cause mortality based on draws from the uncertainty distributions. Findings Global life expectancy for both sexes increased from 65·3 years (UI 65·0–65·6) in 1990, to 71·5 years (UI 71·0–71·9) in 2013, while the number of deaths increased from 47·5 million (UI 46·8–48·2) to 54·9 million (UI 53·6–56·3) over the same interval. Global progress masked variation by age and sex: for children, average absolute differences between countries decreased but relative differences increased. For women aged 25–39 years and older than 75 years and for men aged 20–49 years and 65 years and older, both absolute and relative differences increased. Decomposition of global and regional life expectancy showed the prominent role of reductions in age-standardised death rates for cardiovascular diseases and cancers in high-income regions, and reductions in child deaths from diarrhoea, lower respiratory infections, and neonatal causes in low-income regions. HIV/AIDS reduced life expectancy in southern sub-Saharan Africa. For most communicable causes of death both numbers of deaths and age-standardised death rates fell whereas for most non-communicable causes, demographic shifts have increased numbers of deaths but decreased age-standardised death rates. Global deaths from injury increased by 10·7%, from 4·3 million deaths in 1990 to 4·8 million in 2013; but age-standardised rates declined over the same period by 21%. For some causes of more than 100 000 deaths per year in 2013, age-standardised death rates increased between 1990 and 2013, including HIV/AIDS, pancreatic cancer, atrial fibrillation and flutter, drug use disorders, diabetes, chronic kidney disease, and sickle-cell anaemias. Diarrhoeal diseases, lower respiratory infections, neonatal causes, and malaria are still in the top five causes of death in children younger than 5 years. The most important pathogens are rotavirus for diarrhoea and pneumococcus for lower respiratory infections. Country-specific probabilities of death over three phases of life were substantially varied between and within regions. Interpretation For most countries, the general pattern of reductions in age-sex specific mortality has been associated with a progressive shift towards a larger share of the remaining deaths caused by non-communicable disease and injuries. Assessing epidemiological convergence across countries depends on whether an absolute or relative measure of inequality is used. Nevertheless, age-standardised death rates for seven substantial causes are increasing, suggesting the potential for reversals in some countries. Important gaps exist in the empirical data for cause of death estimates for some countries; for example, no national data for India are available for the past decade.

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We’ve recently seen some encouraging improvements in closing the gap on Indigenous disadvantage: better educational outcomes, higher child immunisation rates, more health checks, and a 35% drop in the gap between Indigenous and non-Indigenous child deaths. But Aboriginal and Torres Strait Islander people continue to suffer a much greater burden of ill-health than other Australians. The gap in Indigenous life expectancy at birth remains unacceptably high at 10.6 years for men and 9.5 years for women. Three-quarters of Indigenous deaths are from potentially avoidable causes. These include preventable conditions such as type 2 diabetes, cardiovascular disease and some cancers. A major contributor to these preventable conditions is excess body weight.

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Life expectancy at birth is one of the main indicators of health inequality. Current health and social status indicators for Australian Indigenous people demonstrate major discrepancies in comparison to other Australians. For example, in Australia in 2005–2007 the Indigenous life expectancy gap at birth was 11.5 years for males and 9.7 years for females (Australian Bureau of Statistics, 2009). This gap has remained relatively constant over the last few decades (ABS, 2008). While the main causes of death for Indigenous Australians are similar to those of non-Indigenous Australians, the percentages attributed to the different disease categories are significantly different. For example, death from external causes is 16.2% for the Indigenous population compared to 6.3% for non-Indigenous, and diabetes is 8% for Indigenous Australians compared to 2.4% for non-Indigenous (ABS, 2008; AIHW, 2008). The Australian Government’s response to this troubling issue, urged on by unprecedented support from the public, was the Close the Gap initiative which aims to reduce the gap in life expectancy within a generation (Shadow Report, 2010). Since the introduction of the Close the Gap strategy there have been some claims of success. For example, the Honourable Warren Snowden (Snowden, 2010), Minister for Indigenous Health, outlines some of the changes that have occurred as a result of the implementation of the Indigenous Chronic Disease Package, funded at $805.5 million over four years, as: 294 new positions...

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RESUMO - Introdução: A despesa em saúde aumentou consideravelmente nas últimas décadas na maioria dos países industrializados. Por outro lado, os indicadores de saúde melhoraram. A evidência empírica sobre a relação entre as despesas em saúde e a saúde das populações tem sido inconclusiva. Este estudo aborda a relação entre as despesas em saúde e a saúde das populações através de dados agregados para 34 países para o período 1980-2010. Metodologia: Utilizou-se o coeficiente de correlação de Pearson para avaliar a correlação entre as variáveis explicativas e os indicadores de saúde. Procedeuse ainda à realização de uma regressão multivariada com dados em painel para cada indicador de saúde utilizado como variável dependente: esperança de vida à nascença e aos 65 anos para mulheres e homens, anos de vida potencialmente perdidos para mulheres e homens e mortalidade infantil. A principal variável explicativa utilizada foi a despesa em saúde, mas consideraram-se também vários fatores de confundimento, nomeadamente a riqueza, fatores estilo de vida, e oferta de cuidados. Resultados: A despesa per capita tem impacto nos indicadores de saúde mas ao adicionarmos a variável PIB per capita deixa de ser estatisticamente significativa. Outros fatores têm um impacto significativo para quase todos os indicadores de saúde utilizados: consumo de álcool e tabaco, gordura, o número de médicos e a imunização, confirmando vários resultados da literatura. Conclusão: Os resultados vão ao encontro de alguns estudos que afirmam o impacto marginal das despesas em saúde e do progresso da medicina nos resultados em saúde desde os anos 80 nos países industrializados.

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Objectif: La santé des Indiens inscrits est inférieure à celle des autres Canadiens et dévoile des écarts importants entre les différents groupes qui la composent. La nation crie de l’Iiyiyiu Aschii, signataire de la Convention de la Baie-James et du Nord québécois (CBJNQ), bénéficie à cet égard d’un état de santé supérieur à celui des autres Indiens inscrits. L’objectif de ce mémoire est d’examiner l’impact de la CBJNQ sur les déterminants sociaux et l’état de santé de ses signataires cris depuis son entrée en vigueur en 1977. Méthodologie : Des analyses comparatives entre les Cris de l’Iiyiyiu Aschii, les Indiens inscrits et les Canadiens ont permis de suivre l’évolution à travers le temps des différences socioéconomiques, d’habitudes de vie et d’état de santé de ces groupes. Résultats : Les Cris ont enregistré, comparativement aux autres groupes d’Indiens inscrits vivant sur une réserve, une plus grande amélioration de leurs déterminants socioéconomiques, une progression relativement limitée de leurs comportements à risque et une préservation à un niveau plus élevé de leurs pratiques traditionnelles. Les Cris ont également vu progresser plus rapidement leur espérance de vie à la naissance que les Canadiens, et leur mortalité infantile a connu une chute encore plus importante que celle enregistrée chez les Indiens inscrits sur réserve. Conclusion : La CBJNQ a vraisemblablement eu un impact significatif sur la santé des Cris de l’Iiyiyiu Aschii. Cette amélioration sanitaire s’explique notamment par la Convention qui a su mettre en place des structures politiques qui ont favorisé l’amélioration des déterminants sociaux et le développement de l’autonomie gouvernementale des Cris.

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Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal.

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Para los países emergentes en América Latina y El Caribe se hace necesario determinar la eficiencia de su sistema de salud para generar beneficios a su población desde el indicador de esperanza de vida al nacer y los recursos que se hacen uso desde Colombia en comparación con sus homólogos. Se evidencia que a pesar de Colombia poseer una economía fuerte durante el análisis de los dos momentos se mantiene en la tendencia general de los demás países y con los mismos resultados del indicador. A su vez se concluye que el momento en que se tomaron las decisiones de cambio del sistema de salud es un factor diferenciador en los resultados obtenidos como fue el caso de Costa Rica identificado con el de mejor desempeño en la relación Indicador de esperanza de vida al nacer y Porcentaje de gasto en salud como parte del Producto interno bruto.

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A população portuguesa encontra-se num processo de envelhecimento, e tem de enfrentar esta nova realidade demográfica. Vários determinantes nomeadamente biológicos, psicológicos e sociais, foram já identificados. O aumento da prevalência de doenças crónicas e incapacitantes, como consequência directa do envelhecimento humano, tem aumentado a procura de respostas na área da saúde e ao nível social. A Rede Nacional de Cuidados Continuados Integrados (REDE) surge como resposta a esta nova problemática. Através da implementação de Unidades de Cuidados Continuados Integrados (UCCI), a REDE é uma alternativa aos internamentos nos hospitais de pessoas em situação de dependência e com necessidade de cuidados diferenciados mas sem necessidade de cuidados típicos de uma unidade de agudos. As UCCI apresentam um modelo de intervenção multidisciplinar que contempla as vertentes da saúde, social e económica dos utentes, composta por equipas multidisciplinares. Devido às especificidades da população idosa e/ou dependente, a intervenção especializada dos profissionais das UCCI, deve ser cuidadosamente preparada com base no treino e especialização, aspectos centrais do sucesso da REDE.

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The Human Development Index (HDI) introduced by the United Nations Development Programme (UNDP) in 1990 has helped facilitate widespread debate amongst development researchers, practitioners and policy makers. The HDI is an aggregate index, calculated on an annual basis by the UNDP and published in its Human Development Reports, comprising measures of three components deemed by them to be central to development: W income (the gross domestic product per capita), (ii) education (adult literacy rate) and (iii) health (life expectancy at birth). The results of calculating the HDI are typically presented as country/regional league tables, and provide a quick means for policy makers and others to judge performance. Perhaps partly because of the relative simplicity of the index, the HDI has managed to achieve a level of acceptance and use amongst politicians and policy makers that has yet to emerge with any indicator of sustainability. Indeed, despite its existence for 11 years, including nine years after the Rio Earth Summit, the HDI has not even been modified to take on board wider issues of sustainability. This paper will critically examine the potential for 'greening' the HDI so as to include environmental and resource-consumption dimensions. Copyright (C) 2003 John Wiley & Sons, Ltd and ERP Environment.

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Incluye CD-ROM

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Includes bibliography

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Life expectancy at birth is the average number of years that a group of people born in the same year should live. The estimate for those born in 2010 is 80.2 years for Italy. On the other side of the chart are a number of countries in sub Saharan Africa. Haiti is in last place: children born in this country in 2010 have a life expectancy by an average of even 30 years, fifty in less than peers born in Italy. From a bioethical point of view, the first question that arises is: Is it right? Is it right that there is such inequality in health? The answer is simple: it is not right. But if we ask ourselves what are the best solution to remedy this situation, the answers become more than one. The differences in life expectancy depends on many factors, including no doubt the effectiveness of health systems. The scope of this work is precisely that of justice in health care and how the different general concepts related to it can be applied in health care settings with very limited financial and human resources. The first chapter describes the main inequalities in global health. The second discusses the main theories of justice. In the next chapter we reason on official development assistance and health cooperation. In the fourth we analyze the contribution of theories of justice through such issues as equity in health, the right of access to health services and right to health. In the fifth chapter the aim is to reason about global justice, the role of health in this context and how the official development assistance in health can contribute.