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

机译:印度寿命不平等的趋势:按年龄和死亡原因的分解分析

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BackgroundStudies 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. ObjectiveThe 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. MethodWe 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. ResultThe 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. ConclusionFuture studies must analyze inequality in life expectancy for assessing the performance of societies regarding length of life. ContributionThis is the first study that provides compelling evidence on inequality in length of life in India and its major states.
机译:背景技术在印度,关于寿命不平等趋势的研究很少。记录年龄和死亡原因对寿命不平等的贡献的研究较为有限。目的研究旨在检验印度和印度15个主要州的寿命不平等趋势,并将寿命不平等分解为年龄和死亡原因。方法我们使用生命表的基尼系数(G 0 )来衡量寿命中的不平等。我们使用Shkolnikov,Andreev和Begun(DR 8(11):305-358,2003)开发的公式分解按年龄和死亡原因划分的基尼系数之间的差异。结果男性的G 0 从1981年的0.32下降到2011年的0.19。女性的G 0 从1981年的0.31下降到2011年的0.22。年龄组0–1?year是造成G 0 下降的最大原因。相反,死亡率下降60+则倾向于增加G 0 。在全州范围内,年龄特定贡献降低了G 0 。在1990年至2010年之间,非传染性疾病对G 0 中男女差距的贡献增加了。年龄在20至39岁之间的伤害也导致了G 中的男女差异。 0 在2010年。结论未来的研究必须分析预期寿命的不平等,以评估社会关于寿命的表现。贡献这是第一项针对印度及其主要州的寿命不平等提供令人信服的证据的研究。

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