scholarly journals Decomposition of socio-economic differences in life expectancy at birth by age and cause of death among 4 million South Korean public servants and their dependents

2010 ◽  
Vol 39 (6) ◽  
pp. 1656-1666 ◽  
Author(s):  
Young-Ho Khang ◽  
Seungmi Yang ◽  
Hong-Jun Cho ◽  
Kyunghee Jung-Choi ◽  
Sung-Cheol Yun
Keyword(s):  
Life Expectancy ◽  
Cause Of Death ◽  
Public Servants ◽  
South Korean ◽  
Life Expectancy At Birth

scholarly journals Potential gain in life expectancy by gender after elimination of a specific cause of death in urban India

2020 ◽  
Vol 7 (5) ◽  
pp. 1848
Author(s):  
Bal Kishan Gulati ◽  
Damodar Sahu ◽  
Anil Kumar ◽  
M. V. Vardhana Rao
Keyword(s):  
Life Expectancy ◽  
Life Table ◽  
Cause Of Death ◽  
Metabolic Diseases ◽  
Circulatory System ◽  
Average Life Span ◽  
Maximum Gain ◽  
Life Expectancy At Birth ◽  
Potential Gain ◽  
Urban India

Background: Life expectancy is a statistical measure to depict average life span a person is expected to live at a given age under given age-specific mortality rates. Cause-elimination life table measures potential gain in life expectancy after elimination of a specific disease. The present study aims to estimate potential gain in life expectancy by gender in urban India after complete and partial elimination of ten leading causes of deaths using secondary data of medical certification of cause of death (MCCD) for the year 2015.Methods: Life table method was used for estimating potential gain after eliminating diseases to the tune of 25%, 50%, 75% and 100%.Results: Maximum gain in life expectancy at birth estimated from complete elimination of diseases of the circulatory system (11.1 years in males versus 13.1 years in females); followed by certain infectious and parasitic diseases (2.2  versus 2.1 years); diseases of the respiratory system (2.2 versus 2.1); injury, poisoning and certain other consequences of external causes (1.1 versus 0.7); neoplasms (0.9 versus 1.0); endocrine, nutritional and metabolic diseases (0.8 versus 0.9); diseases of the digestive system (0.8 versus 0.4); diseases of the genitourinary system (0.6 versus 0.6); diseases of the nervous system (0.4 versus 0.4); and diseases of blood & blood forming organs and certain disorders involving the immune mechanism (0.2 versus 0.3 years).Conclusions: Elimination of the circulatory diseases resulted into maximum gain in life expectancy. These findings may have implications in setting up health goals, allocating resources and launching tailor-made health programmes.

scholarly journals Recent decline in life expectancy at birth in Slovenia

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Aleša Lotrič Dolinar ◽  
Jože Sambt
Keyword(s):  
Life Expectancy ◽  
Cause Of Death ◽  
Developed Countries ◽  
Age Group ◽  
Decomposition Technique ◽  
Life Expectancy At Birth ◽  
Table Model ◽  
Life Table Model ◽  
Rapid Pace ◽  
External Causes

For many decades, life expectancy at birth (e0) in Slovenia has been increasing at a very rapid pace. However, in 2015, e0 declined slightly; it recovered in 2016, but fell again in 2017 for women. In the same period, a pause in declining mortality was observed in numerous developed countries worldwide. It is too early to provide a thorough analysis and firm conclusions, but we shed some light on the topic by decomposing the observed decline in Slovenia by age and cause of death. In particular, using a life table model and life expectancy decomposition technique, we analyse what cause of death for what age group contributed the most to this decline in life expectancy at birth. We show that the main reason for the recent drop in life expectancy at birth in Slovenia was higher mortality due to external causes for men of all ages and due to neoplasms for women above 60 years and men above 50 years.

The assessment of the aging artery

2005 ◽  
Vol 15 (2) ◽  
pp. 71-82 ◽  
Author(s):  
F Fantin ◽  
C Rajkumar ◽  
CJ Bulpitt
Keyword(s):  
Cardiovascular Disease ◽  
Life Expectancy ◽  
Cause Of Death ◽  
Elderly Population ◽  
The Elderly ◽  
Life Expectancy At Birth ◽  
The Uk

The elderly population has greatly increased in the last few decades as life expectancy has risen. In 2005 life expectancy at birth for females born in the UK is 80.2 years, compared with 75.2 years for males. This is in contrast to 49 and 45 years respectively in 1901. Cardiovascular disease is still the most important cause of death in the population over the age of 65, causing 40% of deaths in women and 42% in men of this age.

scholarly journals Years Added to Life in Old Age

2002 ◽  
pp. 97-106
Author(s):  
Kannisto Väinö
Keyword(s):  
Life Expectancy ◽  
Old Age ◽  
Cause Of Death ◽  
Summary Measure ◽  
Life Expectancy At Birth

The momentous transition from high to low mortality - and thereby to modernsociety - has been thoroughly studied by measuring the dynamics of mortality byage and sex and by cause of death as well as by the ubiquitous summary measure,the life expectancy at birth. In the following, we look at it from a slightly differentangle, the years added to different stages of life, particularly to old age.

scholarly journals What has contributed to the large sex differentials in lifespan variation and life expectancy in South Korea?

2020 ◽  
pp. 1-11
Author(s):  
Akansha Singh ◽  
Younga Kim
Keyword(s):  
Sex Differences ◽  
Life Expectancy ◽  
South Korea ◽  
Cause Of Death ◽  
Age Group ◽  
Western Countries ◽  
Life Expectancy At Birth ◽  
Sex Differentials ◽  
Lifespan Variation ◽  
External Causes

Abstract To date, research on sex differentials in lifespan variation and life expectancy has mainly been conducted in Western countries and there is a dearth of data from South Korea. This study aimed to further the understanding of mortality transition and life expectancy in South Korea, and the associated trajectories of age-at-death variation, through an analysis of life disparity by gender. Using complete life tables for South Korea for 1970–2015, sex differentials (female–male differences) in life disparity and life expectancy at birth were estimated, and sex differentials in life expectancy were decomposed by age and cause of death. The results showed that sex differentials in life expectancy at birth have not reduced significantly in the last 45 years (1970: 7.1 years; 2015: 6.2 years). Life disparity has reduced more rapidly for females than males, and the difference increased from −0.1 year in 1981 to −1.6 years in 2015. Sex differentials in life expectancy and life disparity in South Korea were higher during 1970–2015 than in several Western countries with high life expectancy. The elderly age group (60 and above) contributed 50% of the total sex difference in life expectancy at birth in 1970, and this increased to 70% in 2015. The contribution of the age group 15–59 years reduced significantly over the period. Decomposition of life expectancy at birth by cause revealed that diseases of the circulatory system (2.2 years), followed by external causes (1.3 years), were the most important causes of the sex differences in life expectancy at birth in 1983, and in 2015 neoplasms (2.2 years) and external causes (1.1 years) explained half of the total sex differences. There has been a significant shift in the age-specific pattern of the contribution towards each cause of death. Overall, sex differentials in life disparity and life expectancy at birth have remained significant in South Korea in the last 45 years.

A MODEL-INDEPENDENT ANALYSIS OF THE DEMOGRAPHIC IMPACT OF HIV/AIDS IN THE STATE OF SÃO PAULO, BRAZIL

2001 ◽  
Vol 09 (04) ◽  
pp. 255-267
Author(s):  
E. MASSAD ◽  
F. A. B. COUTINHO ◽  
M. N. BURATTINI ◽  
L. F. LOPEZ
Keyword(s):  
Life Expectancy ◽  
Cause Of Death ◽  
Sao Paulo ◽  
The State ◽  
Mathematical Treatment ◽  
São Paulo ◽  
African Countries ◽  
Life Expectancy At Birth ◽  
The Impact ◽  
Hiv Aids

The devastating figures that recently emerged from a demographic study of the impact of HIV/AIDS in some African countries mark the return to the conditions of the XIXth century, when high birth rates were neutralized by equally high death rates. In the State of São Paulo, Brazil, AIDS is the second cause of death among men aged twenty to forty nine years and the first cause of death of women in the same age class. In this work we propose a mathematical treatment to evaluate the impact of AIDS mortality on the age structure of an affected population, namely, that of the state of São Paulo, Brazil. We propose four indicators for the estimation of the impact of AIDS mortality. The first is the age-dependent differences in ten years survival probabilities attributable to AIDS. The second is the difference in the average age of survivors after 10 years of AIDS. The next is the conventional life expectancy at birth for children born in 1996 and with AIDS prevalence assumed at its maximum value and remaining in steady-state afterwards. Finally, we calculate the differences in the life expectancy of individuals considering the effect of AIDS for only ten years. We found that, in the period between 1987 and 1996 the effects were small but very interesting. However, projecting to the future the conditions of 1996, we calculate that the population of the state of São Paulo would lose 3 years in the average life expectancy at birth.

scholarly journals How have changes in death by cause and age group contributed to the recent stalling of life expectancy gains in Scotland? Comparative decomposition analysis of mortality data, 2000–2002 to 2015–2017

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e036529
Author(s):  
Julie Ramsay ◽  
Jon Minton ◽  
Colin Fischbacher ◽  
Lynda Fenton ◽  
Maria Kaye-Bardgett ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Cause Of Death ◽  
Age Groups ◽  
Decomposition Analysis ◽  
Future Research ◽  
Mortality Data ◽  
Age Group ◽  
Mortality Trends ◽  
Life Expectancy At Birth ◽  
The Impact

ObjectiveAnnual gains in life expectancy in Scotland were slower in recent years than in the previous two decades. This analysis investigates how deaths in different age groups and from different causes have contributed to annual average change in life expectancy across two time periods: 2000–2002 to 2012–2014 and 2012–2014 to 2015–2017.SettingScotland.MethodsLife expectancy at birth was calculated from death and population counts, disaggregated by 5 year age group and by underlying cause of death. Arriaga’s method of life expectancy decomposition was applied to produce estimates of the contribution of different age groups and underlying causes to changes in life expectancy at birth for the two periods.ResultsAnnualised gains in life expectancy between 2012–2014 and 2015–2017 were markedly smaller than in the earlier period. Almost all age groups saw worsening mortality trends, which deteriorated for most cause of death groups between 2012–2014 and 2015–2017. In particular, the previously observed substantial life expectancy gains due to reductions in mortality from circulatory causes, which most benefited those aged 55–84 years, more than halved. Mortality rates for those aged 30–54 years and 90+ years worsened, due in large part to increases in drug-related deaths, and dementia and Alzheimer’s disease, respectively.ConclusionFuture research should seek to explain the changes in mortality trends for all age groups and causes. More investigation is required to establish to what extent shortcomings in the social security system and public services may be contributing to the adverse trends and preventing mitigation of the impact of other contributing factors, such as influenza outbreaks.

scholarly journals Contributions of specific causes of death to lost life expectancy in severe mental illness

2017 ◽  
Vol 43 ◽  
pp. 109-115 ◽  
Author(s):  
N. Jayatilleke ◽  
R.D. Hayes ◽  
R. Dutta ◽  
H. Shetty ◽  
M. Hotopf ◽  
...  
Keyword(s):  
Mental Illness ◽  
Life Expectancy ◽  
Severe Mental Illness ◽  
Cause Of Death ◽  
Affective Disorders ◽  
Causes Of Death ◽  
Case Register ◽  
Respiratory Disorders ◽  
Life Expectancy At Birth ◽  
Life Years

AbstractThe life expectancy gap between people with severe mental illness (SMI) and the general population persists and may even be widening. This study aimed to estimate contributions of specific causes of death to the gap. Age of death and primary cause of death were used to estimate life expectancy at birth for people with SMI from a large mental healthcare case register during 2007–2012. Using data for England and Wales in 2010, death rates in the SMI cohort for each primary cause of death category were replaced with gender- and age-specific norms for that cause. Life expectancy in SMI was then re-calculated and, thus, the contribution of that specific cause of death estimated. Natural causes accounted for 79.2% of lost life-years in women with SMI and 78.6% in men. Deaths from circulatory disorders accounted for more life-years lost in women than men (22.0% versus 17.4%, respectively), as did deaths from cancer (8.1% versus 0%), but the contribution from respiratory disorders was lower in women than men (13.7% versus 16.5%). For women, cancer contributed more in those with non-affective than affective disorders, while suicide, respiratory and digestive disorders contributed more in those with affective disorders. In men, respiratory disorders contributed more in non-affective disorders. Other contributions were similar between gender and affective/non-affective groups. Loss of life expectancy in people with SMI is accounted for by a broad range of causes of death, varying by gender and diagnosis. Interventions focused on multiple rather than individual causes of death should be prioritised accordingly.

scholarly journals How have changes in death by cause and age group contributed to the recent stalling of life expectancy gains in Scotland? Comparative decomposition analysis of mortality data, 2000-02 to 2015-17

2019 ◽  
Author(s):  
Julie Ramsay ◽  
Jonathan Minton ◽  
Colin Fischbacher ◽  
Lynda Fenton ◽  
Maria Kaye-Bardgett ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Cause Of Death ◽  
Age Groups ◽  
Decomposition Analysis ◽  
Mortality Data ◽  
Age Group ◽  
Contributing Factors ◽  
Mortality Trends ◽  
Life Expectancy At Birth ◽  
The Impact

BackgroundAnnual gains in life expectancy in Scotland were slower in recent years than in the previous two decades. This analysis investigates how deaths in different age groups and from different causes have contributed to annual average change in life expectancy across two time periods: 2000-02 to 2012-14 and 2012-14 to 2015-17. MethodsLife expectancy at birth was calculated from death and population counts, disaggregated by five-year age-group and by underlying cause of death. Arriaga’s method of life expectancy decomposition was applied to produce estimates of the contribution of different age-groups and underlying causes to changes in life expectancy at birth for the two periods.FindingsAverage annual life expectancy gains between 2012-14 to 2015-17 were markedly smaller than in the earlier period. Almost all age-groups saw worsening mortality trends, which deteriorated for most cause of death groups between 2012-14 and 2015-17. In particular, the previously observed substantial life expectancy gains due to reductions in mortality from circulatory causes, which most benefited those aged 55-84 years, more than halved. Mortality rates for those aged 30-54 years and 90+ years worsened, due in large part to increases in drug-related deaths, and dementia and Alzheimer’s disease respectively. InterpretationFuture research should seek to explain the changes in mortality trends for all age-groups and causes. More investigation is required to establish to what extent shortcomings in the social security system and public services may be contributing to the adverse trends and preventing mitigation of the impact of other contributing factors, such as influenza outbreaks.

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