Evidence map›Paper›PMID 42568537›Full record

ArticleFrontiers in aging neuroscience2026

Creating cognitive normative data for rural Indian population.

Nilima Nilima, Hina Narzari, Shubham Gupta, Kritika Sharma, Maroof Khan, Phaniraj Vastrad, Akshata Nandini, Priya Darshanraj, Sandip Bhattacharjee, Pradyut Datta and 53 more

Abstract read
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Article in Frontiers in aging neuroscience, 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

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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

63 authors.

Nilima NilimaAll India Institute of Medical Sciences, New Delhi, India.
Hina NarzariAll India Institute of Medical Sciences, New Delhi, India.
Shubham GuptaAll India Institute of Medical Sciences, New Delhi, India.
Kritika SharmaAll India Institute of Medical Sciences, New Delhi, India.
Maroof KhanAll India Institute of Medical Sciences, New Delhi, India.
Phaniraj VastradModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Akshata NandiniModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Priya DarshanrajModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Sandip BhattacharjeeModel Rural Health Research Unit (MRHRU), Khumulwng, Tripura, India.
Pradyut DattaModel Rural Health Research Unit (MRHRU), Khumulwng, Tripura, India.
Gajraj Singh ShekhawatModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Rohan SharmaDepartment of Community Medicine, Dr. RP Government Medical College, Tanda, Himachal Pradesh, India.
Arnav VermaDepartment of Community Medicine, Dr. RP Government Medical College, Tanda, Himachal Pradesh, India.
Chondamma PdModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Harshath Ajay VModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Jajur Rajappa SandeshModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Ambika Y VModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Shalina JamatiaModel Rural Health Research Unit (MRHRU), Khumulwng, Tripura, India.
Bishakha SenModel Rural Health Research Unit (MRHRU), Khumulwng, Tripura, India.
Priyanka SainiModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Moh SualehModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Urvashi SahuModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Priyanka Kumari MeenaModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Hitesh TiwariModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Shaily BhushanDepartment of Community Medicine, Dr. RP Government Medical College, Tanda, Himachal Pradesh, India.
Sagar PmModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Ripanjit SinghModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Manish AcharjeeModel Rural Health Research Unit (MRHRU), Khumulwng, Tripura, India.
Vikram RaigarModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Kalpna SharmaDepartment of Community Medicine, Dr. RP Government Medical College, Tanda, Himachal Pradesh, India.
Aishwarya BhoviModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Mailarappa Padiyappa HooliModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Shilpa KModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Naveen MrModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Dipankar DebModel Rural Health Research Unit (MRHRU), Khumulwng, Tripura, India.
Pameli JamatiaModel Rural Health Research Unit (MRHRU), Khumulwng, Tripura, India.
Pooja SharmaModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Akhilesh NagarModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Tinku YogiModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Rishav BhatiaDepartment of Community Medicine, Dr. RP Government Medical College, Tanda, Himachal Pradesh, India.
Rishabh GautamDepartment of Community Medicine, Dr. RP Government Medical College, Tanda, Himachal Pradesh, India.
Sneha SnehaAll India Institute of Medical Sciences, New Delhi, India.
Kamini KaminiAll India Institute of Medical Sciences, New Delhi, India.
Sakshi SharmaAll India Institute of Medical Sciences, New Delhi, India.
Aditi DubeyAll India Institute of Medical Sciences, New Delhi, India.
Varuna SharmaAll India Institute of Medical Sciences, New Delhi, India.
Kajal FularaAll India Institute of Medical Sciences, New Delhi, India.
Shikha ChaudharyAll India Institute of Medical Sciences, New Delhi, India.
Kanika VasudevaIndian Council of Medical Research, New Delhi, India.
Nimin HafeezIndian Council of Medical Research, New Delhi, India.
Chanchal GoyalDepartment of Health Research, Government of India, New Delhi, India.
Subarna RoyModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Manish BarvaliyaModel Rural Health Research Unit (MRHRU), Raichur, Karnataka, India.
Subrata BaidyaModel Rural Health Research Unit (MRHRU), Khumulwng, Tripura, India.
Shampa DasModel Rural Health Research Unit (MRHRU), Khumulwng, Tripura, India.
P K AnandModel Rural Health Research Unit (MRHRU), Jaipur, Rajasthan, India.
Sunil Kumar RainaDepartment of Community Medicine, Dr. RP Government Medical College, Tanda, Himachal Pradesh, India.
Meenakshi SharmaIndian Council of Medical Research, New Delhi, India.
R S DhaliwalIndian Council of Medical Research, New Delhi, India.
Abhik SinhaDivision of Non-communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Anu GuptaAll India Institute of Medical Sciences, New Delhi, India.
Venugopalan Y VishnuAll India Institute of Medical Sciences, New Delhi, India.
Mv Padma SrivastavaAll India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Population-specific normative data are essential for accurately interpreting cognitive test performance, particularly in low-resource settings characterized by low literacy rates. In India, normative values for the Indian Council of Medical Research-Neurocognitive Tool Box (ICMR-NCTB) among older adults in rural communities are limited. The objectives are to generate education-stratified normative values for ICMR-NCTB cognitive domains and to evaluate their cross-sectional classification ability for identifying early cognitive impairment among high-risk older adults in rural India. Methods: Baseline data were derived from the Strategic Multimodal Intervention in at-risk elderly Indians for prevention of dementia (SMRUTHI) cohort, a large, multi-site community-based study conducted across four rural regions of India. Neuropsychological assessments were administered to adults aged 55 years or older using the ICMR-NCTB battery. Normative centiles were estimated using quantile regression and the Box-Cox power exponential (BCPE) method to account for skewness and kurtosis in the test score distributions and to adjust for site effects. Receiver operating characteristic (ROC) analyses assessed the ability of individual tests and composite scores to distinguish normal cognition from early cognitive impairment, as defined by the Clinical Dementia Rating-Sum of Boxes (CDR-SOB). Results: Of 3,917 individuals pre-screened, 3,000 cognitively normal and 175 cognitively impaired participants were included. Education demonstrated moderate associations with performance, whereas the demonstrated of age and gender were minimal. The normative data demonstrate a steady pattern across older age strata, with stable, domain-specific age-related changes rather than an unexpected decline. Literates performed better than their low-literate counterparts. ROC analyses indicated acceptable to good classification performance for several tests, particularly episodic memory measures and the composite z-score (area under the ROC curves up to 0.84). Empirically derived cutoffs approximated the 25th percentile, striking a balance between sensitivity and specificity for screening purposes. Discussion: The large-scale, community-based study generated, age-education-stratified normative data for the ICMR-NCTB among high-risk older adults in rural India. The findings underscore the importance of population-specific, percentile-based normative values for early detection of cognitive impairment in settings with low literacy and high cultural diversity, while highlighting limitations related to ceiling effects in certain measures.

Indexed as

dementiaICMR-NCTBIndiaMCInormative dataolder-adultsrural

Identifiers

PMID42568537
PMCPMC13447306

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