Singh Abhishek, Shukla Ankita, Ram Faujdar, Kumar Kaushalendra
Department of Public Health & Mortality Studies, International Institute for Population Sciences, Mumbai, 400 088 India.
International Institute for Population Sciences, Mumbai, 400 088 India.
Genus. 2017;73(1):5. doi: 10.1186/s41118-017-0022-6. Epub 2017 Jul 10.
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.
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.
We use life table Gini coefficient () 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.
The for men has declined from 0.32 in 1981 to 0.19 in 2011. For women, 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 . In contrast, mortality decline in 60+ has tended to increase the . The state-wide variations in the age-specific contributions to decrease in were stark. The contribution of noncommunicable diseases to the male-female gap in has increased between 1990 and 2010. Injuries at ages from 20 to 39 years also contributed to the male-female difference in in 2010.
Future studies must analyze inequality in life expectancy for assessing the performance of societies regarding length of life.
This is the first study that provides compelling evidence on inequality in length of life in India and its major states.
关于印度寿命不平等趋势的研究很少。记录年龄和死因对寿命不平等贡献的研究更为有限。
本研究旨在考察印度及印度15个主要邦的寿命不平等趋势,并将寿命不平等分解为年龄和死因的贡献。
我们使用生命表基尼系数()来衡量寿命不平等。我们使用Shkolnikov、Andreev和Begun(《人口研究》8(11):305 - 358,2003年)开发的公式,按年龄和死因分解基尼系数之间的差异。
男性的从1981年的0.32降至2011年的0.19。女性的从1981年的0.31降至2011年的0.22。0 - 1岁年龄组的死亡率下降对的下降贡献最大。相比之下,60岁及以上年龄组的死亡率下降往往会增加。各邦在年龄特异性对下降的贡献方面差异明显。1990年至2010年期间,非传染性疾病对男性和女性之间差距的贡献有所增加。2010年,20至39岁年龄段的伤害也导致了男性和女性之间的差异。
未来的研究必须分析预期寿命的不平等,以评估社会在寿命方面的表现。
这是第一项提供关于印度及其主要邦寿命不平等有力证据的研究。