Evidence map›Paper›PMID 42067901›Full record

ArticleAlzheimer's research & therapy2026

Cognitive Reserve in rural and urban populations: Insights from two aging cohorts in southern India.

Ramya Burra, Palash K Malo, Hitesh Pradhan, Raghav Prasad, Pooja Rai, Thomas G Issac, Jonas S Sundarakumar, Siva Athreya, Rajesh Sundaresan, CBR-SANSCOG Study Team and 1 more

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Article in Alzheimer's research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ramya BurraCentre for Brain Research, Indian Institute of Science, C.V. Raman Avenue, Bangalore, 560012, India. ramya.burra@gmail.com.
Palash K MaloCentre for Brain Research, Indian Institute of Science, C.V. Raman Avenue, Bangalore, 560012, India.
Hitesh PradhanCentre for Brain Research, Indian Institute of Science, C.V. Raman Avenue, Bangalore, 560012, India.
Raghav PrasadCentre for Brain Research, Indian Institute of Science, C.V. Raman Avenue, Bangalore, 560012, India.
Pooja RaiCentre for Brain Research, Indian Institute of Science, C.V. Raman Avenue, Bangalore, 560012, India.
Thomas G IssacCentre for Brain Research, Indian Institute of Science, C.V. Raman Avenue, Bangalore, 560012, India.
Jonas S SundarakumarCentre for Brain Research, Indian Institute of Science, C.V. Raman Avenue, Bangalore, 560012, India. jonas@cbr-iisc.ac.in.
Siva AthreyaInternational Centre for Theoretical Sciences, Bangalore, 560089, India.
Rajesh SundaresanDepartment of Electrical Communication Engineering, Indian Institute of Science, Bangalore, 560012, India.
CBR-SANSCOG Study Team
CBR-TLSA Study Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are no Indian studies estimating Cognitive Reserve (CR) across rural and urban aging populations.

methodsWe estimated CR from two ongoing aging studies in rural (CBR-SANSCOG, n = 4459) and urban (CBR-TLSA, n = 663) southern India. We used years of education (YOE), job skill level (JSL), social network diversity (SND) and multilingualism (ML) as factors and assigned weights based on their capability to predict cognitive performance (assessed using a culturally adapted cognitive test battery). We evaluated several candidate machine learning models and chose the linear regression based on its fit.

findingsIn the rural cohort, YOE, ML, and SND contributed significantly (Rural CR = 0.085×YOE + 0.184×ML + 0.030×SND), whereas YOE, ML and JSL were significant contributors for the urban cohort (Urban CR = 0.064×YOE + 0.184×ML + 0.197×JSL).

interpretationThe contribution of CR factors differs across rural and urban Indian populations. Targeted interventions to enhance population-specific CR factors could reduce dementia risk.

Indexed as

AgingCognitive ReserveRural PopulationUrban PopulationAgedCohort StudiesFemaleHumansIndiaMaleMiddle AgedNeuropsychological TestsCognitive reserveCognitive resilienceDementiaEducationIndiansJob skillMultilingualismProtective factorsRural-urbanSocial connectedness

Identifiers

PMID42067901
PMCPMC13195882

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