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Trends in inequality in length of life in India: a decomposition analysis by age and causes of death

BACKGROUND: Studies dealing with trends in inequality in length of life in India are rare. Studies documenting the contribution of age and causes of death to the inequality in length of life are more limited. OBJECTIVE: The study aims to examine the trends in inequality in length of life in India an...

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Autores principales: Singh, Abhishek, Shukla, Ankita, Ram, Faujdar, Kumar, Kaushalendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504219/
https://www.ncbi.nlm.nih.gov/pubmed/28751789
http://dx.doi.org/10.1186/s41118-017-0022-6
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author Singh, Abhishek
Shukla, Ankita
Ram, Faujdar
Kumar, Kaushalendra
author_facet Singh, Abhishek
Shukla, Ankita
Ram, Faujdar
Kumar, Kaushalendra
author_sort Singh, Abhishek
collection PubMed
description BACKGROUND: Studies dealing with trends in inequality in length of life in India are rare. Studies documenting the contribution of age and causes of death to the inequality in length of life are more limited. OBJECTIVE: The study aims to examine the trends in inequality in length of life in India and 15 major states of India and to decompose the inequality in length of life into the contributions of age and causes of death. METHOD: We use life table Gini coefficient (G (0)) to measure the inequality in length of life. We use the formulae developed by Shkolnikov, Andreev, and Begun (DR 8(11):305–358, 2003) to decompose the differences between Gini coefficients by age and cause of death. RESULT: The G (0) for men has declined from 0.32 in 1981 to 0.19 in 2011. For women, G (0) has decreased from 0.31 in 1981 to 0.22 in 2011. Mortality decline in the age group 0–1 year has contributed most to the decrease in G (0). In contrast, mortality decline in 60+ has tended to increase the G (0). The state-wide variations in the age-specific contributions to decrease in G (0) were stark. The contribution of noncommunicable diseases to the male-female gap in G (0) has increased between 1990 and 2010. Injuries at ages from 20 to 39 years also contributed to the male-female difference in G (0) in 2010. CONCLUSION: Future studies must analyze inequality in life expectancy for assessing the performance of societies regarding length of life. CONTRIBUTION: This is the first study that provides compelling evidence on inequality in length of life in India and its major states.
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spelling pubmed-55042192017-07-25 Trends in inequality in length of life in India: a decomposition analysis by age and causes of death Singh, Abhishek Shukla, Ankita Ram, Faujdar Kumar, Kaushalendra Genus Original Article BACKGROUND: Studies dealing with trends in inequality in length of life in India are rare. Studies documenting the contribution of age and causes of death to the inequality in length of life are more limited. OBJECTIVE: The study aims to examine the trends in inequality in length of life in India and 15 major states of India and to decompose the inequality in length of life into the contributions of age and causes of death. METHOD: We use life table Gini coefficient (G (0)) to measure the inequality in length of life. We use the formulae developed by Shkolnikov, Andreev, and Begun (DR 8(11):305–358, 2003) to decompose the differences between Gini coefficients by age and cause of death. RESULT: The G (0) for men has declined from 0.32 in 1981 to 0.19 in 2011. For women, G (0) has decreased from 0.31 in 1981 to 0.22 in 2011. Mortality decline in the age group 0–1 year has contributed most to the decrease in G (0). In contrast, mortality decline in 60+ has tended to increase the G (0). The state-wide variations in the age-specific contributions to decrease in G (0) were stark. The contribution of noncommunicable diseases to the male-female gap in G (0) has increased between 1990 and 2010. Injuries at ages from 20 to 39 years also contributed to the male-female difference in G (0) in 2010. CONCLUSION: Future studies must analyze inequality in life expectancy for assessing the performance of societies regarding length of life. CONTRIBUTION: This is the first study that provides compelling evidence on inequality in length of life in India and its major states. Springer International Publishing 2017-07-10 2017 /pmc/articles/PMC5504219/ /pubmed/28751789 http://dx.doi.org/10.1186/s41118-017-0022-6 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Singh, Abhishek
Shukla, Ankita
Ram, Faujdar
Kumar, Kaushalendra
Trends in inequality in length of life in India: a decomposition analysis by age and causes of death
title Trends in inequality in length of life in India: a decomposition analysis by age and causes of death
title_full Trends in inequality in length of life in India: a decomposition analysis by age and causes of death
title_fullStr Trends in inequality in length of life in India: a decomposition analysis by age and causes of death
title_full_unstemmed Trends in inequality in length of life in India: a decomposition analysis by age and causes of death
title_short Trends in inequality in length of life in India: a decomposition analysis by age and causes of death
title_sort trends in inequality in length of life in india: a decomposition analysis by age and causes of death
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504219/
https://www.ncbi.nlm.nih.gov/pubmed/28751789
http://dx.doi.org/10.1186/s41118-017-0022-6
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