Evidence map›Paper›PMID 31324177›Full record

ArticleBMC public health2019

Temporal decomposition of life years lived with disability in India: a growing demographic concern.

Kajori Banerjee, Srei Chanda, Laxmi Kant Dwivedi

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Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Kajori BanerjeeDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, India. kajori.b2012@gmail.com.ORCID http://orcid.org/0000-0001-5708-2869
Srei ChandaDepartment of Population Policies and Programmes, International Institute for Population Sciences, Mumbai, India.
Laxmi Kant DwivediDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo draw optimal benefits of the demographic dividend, healthy life years of the young adults is a growing concern in India. Rising prevalence of chronic non-communicable diseases among the younger population is responsible for increasing the life years lived with disability among them and for affecting their productivity in turn. This study measures the disability burden in various Indian sub-populations and assesses the contribution of disability to the change in person years lived with a disability during 2001-11.

methodsData from the Census of India, 2001 and 2011 was used for estimating the age distribution and disability prevalence among males and females. The Sample Registration System was used for age-specific mortality rate to calculate the life table for 15 states in India. Life years Lived with Disability (LLD) were estimated using the Sullivan method. The extension of Arriaga method was used to decompose change in life years lived with disability into Mortality and Disability Effect (ME and DE, respectively). Positive ME explains improvement in life years due to decline in mortality rate and a negative DE explains a decline in disability incidence in 2001-11.

resultsAt national level, the disability prevalence has increased from 2001 to 2011. The prevalence of disability and the share of LLD to Life Expectancy (LE) is higher for males. High and medium fertility states scored highest on living with disability to LE ratio and measured DE in the decomposition analysis. At the national level, the DE increased in the age groups of 20-35 years. It was higher among the females. The states that are in the advanced stages of demographic transition show a negative DE.

conclusionThe study highlights expansion of DE in prime productive years of life, especially among females, in medium and high fertility states. Decline in skilled employment and productivity can be two major economic adversities due to increasing DE in working ages. Disability among young and working age population needs to be prioritised as most of the Indian states stand at crucial stages of demographic transitions.

Indexed as

Quality-Adjusted Life YearsAdultAge DistributionCensusesCost of IllnessFemaleGlobal HealthHumansIncidenceIndiaLife ExpectancyLife TablesMaleMiddle AgedNoncommunicable DiseasesPersons with Disabilities

Identifiers

PMID31324177
PMCPMC6642470

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