The multiple decrement life table: a unifying framework for cause-of-death analysis in ecology

Oecologia ◽  
1989 ◽  
Vol 78 (1) ◽  
pp. 131-137 ◽  
Author(s):  
James R. Carey
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.


Demography ◽  
1977 ◽  
Vol 14 (1) ◽  
pp. 87 ◽  
Author(s):  
Charles J. Mode ◽  
Roger C. Avery ◽  
Gary S. Littman ◽  
Robert G. Potter

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Gladys S.A.Y. Kambey ◽  
Djemi Tomuka ◽  
Johanis F. Mallo

Abstract: Birth, morbidity and death are data that will be needed to make a life table. Life table is very valuable information that will be needed in making decision and regulation in health and medical field. Regulations based on valid data will give huge amount of benefit for the advancement of health and medical field at Indonesia, especially in Manado. Death and cause of death certification is part of doctor’s responsibility that has a big effect on relative’s law status and so it must be handled properly. Death and cause of death registration could also detect any unnatural death occuring outside the health facility so it can be handled properly by the police. Death and cause of death medicolegal protocol in turn could help us upholding the law by apprehanding criminals that are trying to eliminate biological evidence. Keywords: medicolegal protocol in Manado city, medicolegal aspect.     Abstrak: Kelahiran, kesakitan dan kematian merupakan data yang diperlukan untuk membentuk suatu tabel kehidupan (life table). Informasi ini amat dibutuhkan dalam menbuat kebijakan di bidang kesehatan. Kebijakan yang berdasar data yang tepat akan memberi manfaat yang besar bagi perbaikan status kesehatan masyarakat luas. Data kematian dan penyebab kematian merupakan data yang hingga saat ini belum terkelola baik di Indonesia, khususnya di Manado.  Sertifikasi kematian merupakan bagian tanggung jawab dokter yang membawa dampak hukum yang besar bagi keluarga, sehingga pengelolaan medikolegalnya harus dilakukan dengan tepat. Registrasi kematian dan penyebab kematian juga dapat digunakan untuk menyaring kematian tidak wajar yang terjadi di luar fasilitas kesehatan, agar kemudian dapat ditangani oleh pihak penyidik. Tata laksana medikolegal registrasi kematian yang tepat, pada gilirannya akan membantu penegakan hukum dengan menghindarkan pelaku kejahatan menghilangkan barang bukti biologis. Kata kunci: tatalaksana kematian di kota Manado, aspek medikolegal.


1980 ◽  
Vol 107 (4) ◽  
pp. 507-511 ◽  
Author(s):  
H. L. Seal

The first life table was a brilliant ‘guesstimate’ by John Graunt (1662) based on mortality data analysed by cause of death but not by age or sex. It was over thirty years before Halley (1693) constructed a table to show “the odds that there is, that a Person of that [any] Age does not die in a Year”. In the meantime several writers tried to use Graunt's figures to make deductions about probabilities of death. This note is a description of these efforts.


Demography ◽  
1970 ◽  
Vol 7 (4) ◽  
pp. 459 ◽  
Author(s):  
T. R. Balakrishnan ◽  
J. D. Allingham ◽  
J. F. Kantner

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