Volume 37, Issue 10
RESEARCH ARTICLE

MoCA in five Indian languages: A brief screening tool to diagnose dementia and MCI in a linguistically diverse setting

Subhash Kaul

Subhash Kaul

Krishna Institute of Medical Sciences, Hyderabad, India

Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India

Search for more papers by this author
Avanthi Paplikar

Corresponding Author

Avanthi Paplikar

Department of Speech and Language Studies, Dr. S. R. Chandrasekhar Institute of Speech and Hearing, Bengaluru, India

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India

Correspondence

Avanthi Paplikar, Department of Speech and Language Studies, Dr. S. R. Chandrasekhar Institute of Speech and Hearing, Bengaluru, India.

Email: [email protected]

Search for more papers by this author
Feba Varghese

Feba Varghese

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India

Search for more papers by this author
Suvarna Alladi

Suvarna Alladi

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India

Search for more papers by this author
Meenakshi Sharma

Meenakshi Sharma

Indian Council of Medical Research, New Delhi, India

Search for more papers by this author
R. S. Dhaliwal

R. S. Dhaliwal

Indian Council of Medical Research, New Delhi, India

Search for more papers by this author
Sheetal Goyal

Sheetal Goyal

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India

Search for more papers by this author
Aralikatte Onkarappa Saroja

Aralikatte Onkarappa Saroja

Jawaharlal Nehru Medical College, KLE Academy of Higher Education and Research, Belagavi, India

Search for more papers by this author
Faheem Arshad

Faheem Arshad

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India

Search for more papers by this author
Gollahalli Divyaraj

Gollahalli Divyaraj

Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India

Pause for Perspective, Hyderabad, India

Search for more papers by this author
Amitabha Ghosh

Amitabha Ghosh

Apollo Gleneagles Hospital, Cognitive Neurology Unit, Kolkata, India

Search for more papers by this author
Gowri K. Iyer

Gowri K. Iyer

Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India

Indian Institute of Public Health, Hyderabad, India

Search for more papers by this author
Sunitha J

Sunitha J

Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India

Search for more papers by this author
Arfa Banu Khan

Arfa Banu Khan

Jawaharlal Nehru Medical College, KLE Academy of Higher Education and Research, Belagavi, India

Search for more papers by this author
Rajmohan Kandukuri

Rajmohan Kandukuri

Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India

Search for more papers by this author
Robert Mathew

Robert Mathew

Government Medical College, Alleppey, India

Search for more papers by this author
Shailaja Mekala

Shailaja Mekala

Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India

Search for more papers by this author
Ramshekhar Menon

Ramshekhar Menon

Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India

Search for more papers by this author
Apoorva Pauranik

Apoorva Pauranik

M.G.M. Medical College, Indore, India

Search for more papers by this author
Ranita Nandi

Ranita Nandi

All India Institute of Medical Sciences, Delhi, India

Search for more papers by this author
Jwala Narayanan

Jwala Narayanan

Manipal Hospitals, Bengaluru, India

Search for more papers by this author
Ashima Nehra

Ashima Nehra

All India Institute of Medical Sciences, Delhi, India

Search for more papers by this author
M. V. Padma

M. V. Padma

All India Institute of Medical Sciences, Delhi, India

Search for more papers by this author
Subasree Ramakrishnan

Subasree Ramakrishnan

Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India

Search for more papers by this author
Lekha Sarath

Lekha Sarath

Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India

Search for more papers by this author
Urvashi Shah

Urvashi Shah

King Edward Memorial Hospital, Mumbai, India

Search for more papers by this author
Manjari Tripathi

Manjari Tripathi

All India Institute of Medical Sciences, Delhi, India

Search for more papers by this author
P. N. Sylaja

P. N. Sylaja

Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India

Search for more papers by this author
Ravi Prasad Varma

Ravi Prasad Varma

Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India

Search for more papers by this author
Mansi Verma

Mansi Verma

All India Institute of Medical Sciences, Delhi, India

Search for more papers by this author
Yeshaswini Vishwanath

Yeshaswini Vishwanath

Department of Psychology, Jyoti Nivas College, Bangalore, India

Search for more papers by this author
I. C. M. R-N. C. T. B Consortium

I. C. M. R-N. C. T. B Consortium

Search for more papers by this author
First published: 31 August 2022
Citations: 2

Abstract

Introduction and Objectives

Early dementia diagnosis in low and middle-income countries (LMIC) is challenging due to limited availability of brief, culturally appropriate, and psychometrically validated tests. Montreal Cognitive Assessment (MoCA) is one of the most widely used cognitive screening tests in primary and secondary care globally. In the current study, we adapted and validated MoCA in five Indian languages (Hindi, Bengali, Telugu, Kannada, and Malayalam) and determined the optimal cut-off points that correspond to screening for clinical diagnosis of dementia and MCI.

Methods

A systematic process of adaptation and modifications of MoCA was fulfilled. A total of 446 participants: 214 controls, 102 dementia, and 130 MCI were recruited across six centers.

Results

Across five languages, the area under the curve for diagnosis of dementia varied from 0.89 to 0.98 and MCI varied from 0.73 to 0.96. The sensitivity, specificity and optimum cut-off scores were established separately for five Indian languages.

Conclusions

The Indian adapted MoCA is standardized and validated in five Indian languages for early diagnosis of dementia and MCI in a linguistically and culturally diverse population.

CONFLICT OF INTEREST

The authors report no conflicts of interest.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.