Calculating life expectancy from a life table

2019 ◽  
pp. 374-375
Keyword(s):  
2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuejen Zhao ◽  
Jo Wright ◽  
Stephen Begg ◽  
Steven Guthridge

BMJ Open ◽  
2011 ◽  
Vol 1 (1) ◽  
pp. e000128-e000128 ◽  
Author(s):  
J. W. Vaupel ◽  
Z. Zhang ◽  
A. A. van Raalte

Author(s):  
Bal Kishan Gulati ◽  
Damodar Sahu ◽  
Anil Kumar ◽  
M. V. Vardhana Rao

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.


1974 ◽  
Vol 25 (1) ◽  
pp. 25 ◽  
Author(s):  
BF Phillips ◽  
NA Campbell

A population of the whelk Dicathais orbita (Gmelin) at Fish-Hook Bay, Rottnest Island, in Western Australia, was found to have a high annual mortality and hence a low average life expectancy. A longevity of 19 years has been estimated but the average life expectancy is not more than 5 years. The mortality rate of the animals on the reef platforms (1-S = 0.46; M = 0.62) was found to be independent of age. A life table for D. orbita is presented and discussed, and these data compared with data on some other predatory gastropods.


Author(s):  
Minsung Sohn ◽  
Xianhua Che ◽  
Sungwon Lim ◽  
Hee-Jung Park

The aim of this study was to measure the magnitude and distribution of a Korean’s lifetime dental expenses depending on age and sex, by constructing a hypothetical lifetime and life table of survival. Additionally, we estimated the difference in life expectancy between men and women and its impact on dental expenses. We used the 2015 Korea Health Panel Survey to calculate the total dental expenditure, including expenses paid directly by patients and those paid by insurers. We generated survival profiles to simulate dental expenses during a typical lifetime (from birth to age 95) using the abridged life table (five-year intervals for age groups) in 2015 from the South Korean Statistical Information Service. We independently calculated the remaining dental expenses for survivors of all ages. The results showed that an estimate of average lifetime dental expenditure was $31,851 per capita: $31,587 for men and $32,318 for women. Nearly 33% of the average per capita lifetime dental expenditure was attributable to the longer life expectancy of women, with no statistically significant difference in lifetime dental expenditure between men and women. Many survivors incurred 70% of their lifetime dental expenses before age 65. The results highlighted the need for policymakers to address spending on age-specific dental care owing to extended life expectancy, given the disproportionate share of healthcare resources supporting the elderly.


2019 ◽  
Vol 75 (7) ◽  
pp. e105-e112 ◽  
Author(s):  
Mateo P Farina ◽  
Mark D Hayward ◽  
Jung Ki Kim ◽  
Eileen M Crimmins

Abstract Objectives We estimate life expectancy with and without dementia for Americans 65 years and older by education and race to examine how these stratification systems combine to shape disparities in later-life cognitive health. Method Based on the Health and Retirement Study (2000–2014), we use a multivariate, incidence-based life table approach to estimate life expectancy by cognitive health status for race–education groups. The models also simulate group differences in the prevalence of dementia implied by these rates. Results The life table results document notable race–education differences in dementia and dementia-free life expectancy, as well as stark differences in implied dementia prevalence. At each education level, blacks can expect to live more years with dementia and they have significantly higher rates of dementia prevalence. This distribution of disparities in the older population is anchored by 2 groups—blacks without a high school diploma and whites with some college or more. Discussion Dementia experience and dementia burden differ dramatically along race–education lines. Race and education combine to exaggerate disparities and they both have enduring effects. Future research should explicitly consider how race and education combine to influence dementia in the older American population.


Risk Analysis ◽  
2015 ◽  
Vol 35 (8) ◽  
pp. 1468-1478 ◽  
Author(s):  
David M. Stieb ◽  
Stan Judek ◽  
Kevin Brand ◽  
Richard T. Burnett ◽  
Hwashin H. Shin

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