2021
DOI: 10.1186/s12889-021-10826-5
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Economic gradient of onset of disability in India

Abstract: Background Disability in India is associated with increasing non-communicable diseases, rising longevity, and increasing accidents and injuries. Though studies have examined prevalence, patterns, and socioeconomic correlates of disability, no attempt has been made in estimating age of onset of disability in India. Objective This paper investigates the economic gradient of age of onset of locomotor, visual, hearing, speech, mental retardation, menta… Show more

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Cited by 6 publications
(5 citation statements)
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“…1 To our knowledge, this is the first study to find out the disability trend of locomotor disability and describe the clinical and demographic characteristics in India. 13 This gradient was strongest for locomotor and speech disabilities. Disabled individuals are more vulnerable to economic disempowerment than non-disabled individuals.…”
Section: Discussionmentioning
confidence: 98%
“…1 To our knowledge, this is the first study to find out the disability trend of locomotor disability and describe the clinical and demographic characteristics in India. 13 This gradient was strongest for locomotor and speech disabilities. Disabled individuals are more vulnerable to economic disempowerment than non-disabled individuals.…”
Section: Discussionmentioning
confidence: 98%
“…Based on the prior literature, we included individual, demographic, and household variables as possible confounders [ 12 , 14 , 16 , 21 , 30 ]. Age is categorised as 0–9 years, 10–19 years, 20–29 years, 30–39 years, 40–49 years, 50–59 years, and 60 + years.…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, families living with disabled members have a higher chance of incurring catastrophic health expenditures, leaving them in poverty [ 23 ]. Ample evidence from India indicated socioeconomic variation of disability [ 14 , 24 – 27 ]. Along with higher poverty and inequality in India, there was striking geographical variation in the level of development across states and districts [ 28 , 29 ].…”
Section: Introductionmentioning
confidence: 99%
“…First, the aging population is more vulnerable to NCDs, and increased life expectancy does not necessarily convert into healthy years (LASI Wave 1 Report, 2020). Second, the increasing prevalence of chronic NCDs among younger individuals is accountable for a rise in the years lived with disability among this age group, consequently impacting their productivity (Banerjee et al, 2019;Mishra et al, 2021;Mohanty et al, 2021). The burden of NCDs causes severe socioeconomic impacts in India, whereas the diversity in SED across regions leads to diversity in the prevalence of the diseases, hence broadening the role of SED statistics from explaining health patterns to actively forecasting the distribution within the nation.…”
Section: Introductionmentioning
confidence: 99%