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Prevalence of intellectual disability in India: A meta-analysis

BACKGROUND: Burden due to intellectual disability (ID) is only third to the depressive disorders and anxiety disorders in India. This national burden significantly contributes to the global burden of ID and hence one has to think globally and act locally to reduce this burden. At its best the collec...

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Autores principales: Russell, Paul Swamidhas Sudhakar, Nagaraj, Sahana, Vengadavaradan, Ashvini, Russell, Sushila, Mammen, Priya Mary, Shankar, Satya Raj, Viswanathan, Shonima Aynipully, Earnest, Richa, Chikkala, Swetha Madhuri, Rebekah, Grace
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985497/
https://www.ncbi.nlm.nih.gov/pubmed/35433303
http://dx.doi.org/10.5409/wjcp.v11.i2.206
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author Russell, Paul Swamidhas Sudhakar
Nagaraj, Sahana
Vengadavaradan, Ashvini
Russell, Sushila
Mammen, Priya Mary
Shankar, Satya Raj
Viswanathan, Shonima Aynipully
Earnest, Richa
Chikkala, Swetha Madhuri
Rebekah, Grace
author_facet Russell, Paul Swamidhas Sudhakar
Nagaraj, Sahana
Vengadavaradan, Ashvini
Russell, Sushila
Mammen, Priya Mary
Shankar, Satya Raj
Viswanathan, Shonima Aynipully
Earnest, Richa
Chikkala, Swetha Madhuri
Rebekah, Grace
author_sort Russell, Paul Swamidhas Sudhakar
collection PubMed
description BACKGROUND: Burden due to intellectual disability (ID) is only third to the depressive disorders and anxiety disorders in India. This national burden significantly contributes to the global burden of ID and hence one has to think globally and act locally to reduce this burden. At its best the collective prevalence of ID is in the form of narrative reviews. There is an urgent need to document the summary prevalence of ID to enhance further policymaking, national programs and resource allocation. AIM: To establish the summary prevalence of ID during the past 60 years in India. METHODS: Two researchers independently and electronically searched PubMed, Scopus, and the Cochrane library from January 1961 to December 2020 using appropriate search terms. Two other investigators extracted the study design, setting, participant characteristics, and measures used to identify ID. Two other researchers appraised the quality of the studies using the Joanna Briggs Institute critical appraisal format for Prevalence Studies. Funnel plot and Egger’s regression test were used to ascertain the publication and small study effect on the prevalence. To evaluate the summary prevalence of ID, we used the random effects model with arcsine square-root transformation. Heterogeneity of I(2) ≥ 50% was considered substantial and we determined the heterogeneity with meta-regression. The analyses were performed using STATA (version 16). RESULTS: Nineteen studies were included in the meta-analysis. There was publication bias; the trim-and-fill method was used to further ascertain bias. Concerns with control of confounders and the reliable measure of outcome were noted in the critical appraisal. The summary prevalence of ID was 2% [(95%CI: 2%, 3%); I(2 )= 98%] and the adjusted summary prevalence was 1.4%. Meta-regression demonstrated that age of the participants was statistically significantly related to the prevalence; other factors did not influence the prevalence or heterogeneity. CONCLUSION: The summary prevalence of ID in India was established to be 2% taking into consideration the individual prevalence studies over the last six decades. This knowledge should improve the existing disability and mental health policies, national programs and service delivery to reduce the national and global burden associated with ID.
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spelling pubmed-89854972022-04-15 Prevalence of intellectual disability in India: A meta-analysis Russell, Paul Swamidhas Sudhakar Nagaraj, Sahana Vengadavaradan, Ashvini Russell, Sushila Mammen, Priya Mary Shankar, Satya Raj Viswanathan, Shonima Aynipully Earnest, Richa Chikkala, Swetha Madhuri Rebekah, Grace World J Clin Pediatr Meta-Analysis BACKGROUND: Burden due to intellectual disability (ID) is only third to the depressive disorders and anxiety disorders in India. This national burden significantly contributes to the global burden of ID and hence one has to think globally and act locally to reduce this burden. At its best the collective prevalence of ID is in the form of narrative reviews. There is an urgent need to document the summary prevalence of ID to enhance further policymaking, national programs and resource allocation. AIM: To establish the summary prevalence of ID during the past 60 years in India. METHODS: Two researchers independently and electronically searched PubMed, Scopus, and the Cochrane library from January 1961 to December 2020 using appropriate search terms. Two other investigators extracted the study design, setting, participant characteristics, and measures used to identify ID. Two other researchers appraised the quality of the studies using the Joanna Briggs Institute critical appraisal format for Prevalence Studies. Funnel plot and Egger’s regression test were used to ascertain the publication and small study effect on the prevalence. To evaluate the summary prevalence of ID, we used the random effects model with arcsine square-root transformation. Heterogeneity of I(2) ≥ 50% was considered substantial and we determined the heterogeneity with meta-regression. The analyses were performed using STATA (version 16). RESULTS: Nineteen studies were included in the meta-analysis. There was publication bias; the trim-and-fill method was used to further ascertain bias. Concerns with control of confounders and the reliable measure of outcome were noted in the critical appraisal. The summary prevalence of ID was 2% [(95%CI: 2%, 3%); I(2 )= 98%] and the adjusted summary prevalence was 1.4%. Meta-regression demonstrated that age of the participants was statistically significantly related to the prevalence; other factors did not influence the prevalence or heterogeneity. CONCLUSION: The summary prevalence of ID in India was established to be 2% taking into consideration the individual prevalence studies over the last six decades. This knowledge should improve the existing disability and mental health policies, national programs and service delivery to reduce the national and global burden associated with ID. Baishideng Publishing Group Inc 2022-03-09 /pmc/articles/PMC8985497/ /pubmed/35433303 http://dx.doi.org/10.5409/wjcp.v11.i2.206 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
spellingShingle Meta-Analysis
Russell, Paul Swamidhas Sudhakar
Nagaraj, Sahana
Vengadavaradan, Ashvini
Russell, Sushila
Mammen, Priya Mary
Shankar, Satya Raj
Viswanathan, Shonima Aynipully
Earnest, Richa
Chikkala, Swetha Madhuri
Rebekah, Grace
Prevalence of intellectual disability in India: A meta-analysis
title Prevalence of intellectual disability in India: A meta-analysis
title_full Prevalence of intellectual disability in India: A meta-analysis
title_fullStr Prevalence of intellectual disability in India: A meta-analysis
title_full_unstemmed Prevalence of intellectual disability in India: A meta-analysis
title_short Prevalence of intellectual disability in India: A meta-analysis
title_sort prevalence of intellectual disability in india: a meta-analysis
topic Meta-Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985497/
https://www.ncbi.nlm.nih.gov/pubmed/35433303
http://dx.doi.org/10.5409/wjcp.v11.i2.206
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