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Lee J, Petrosyan S, Khobragade P, Banerjee J, Chien S, Weerman B, Gross A, Hu P, Smith JA, Zhao W, Aksman L, Jain U, Shanthi GS, Kurup R, Raman A, Chakrabarti SS, Gambhir IS, Varghese M, John JP, Joshi H, Koul PA, Goswami D, Talukdar A, Mohanty RR, Yadati YSR, Padmaja M, Sankhe L, Rajguru C, Gupta M, Kumar G, Dhar M, Jovicich J, Ganna A, Ganguli M, Chatterjee P, Singhal S, Bansal R, Bajpai S, Desai G, Bhatankar S, Rao AR, Sivakumar PT, Muliyala KP, Sinha P, Loganathan S, Meijer E, Angrisani M, Kim JK, Dey S, Arokiasamy P, Bloom DE, Toga AW, Kardia SLR, Langa K, Crimmins EM, Dey AB. Deep phenotyping and genomic data from a nationally representative study on dementia in India. Sci Data 2023; 10:45. [PMID: 36670106 PMCID: PMC9852797 DOI: 10.1038/s41597-023-01941-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 01/06/2023] [Indexed: 01/21/2023] Open
Abstract
The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) is a nationally representative in-depth study of cognitive aging and dementia. We present a publicly available dataset of harmonized cognitive measures of 4,096 adults 60 years of age and older in India, collected across 18 states and union territories. Blood samples were obtained to carry out whole blood and serum-based assays. Results are included in a venous blood specimen datafile that can be linked to the Harmonized LASI-DAD dataset. A global screening array of 960 LASI-DAD respondents is also publicly available for download, in addition to neuroimaging data on 137 LASI-DAD participants. Altogether, these datasets provide comprehensive information on older adults in India that allow researchers to further understand risk factors associated with cognitive impairment and dementia.
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Affiliation(s)
- Jinkook Lee
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
| | - Sarah Petrosyan
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Pranali Khobragade
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Joyita Banerjee
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sandy Chien
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Bas Weerman
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Alden Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Peifeng Hu
- Division of Geriatric Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Leon Aksman
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA
| | - Urvashi Jain
- Department of Economics, Finance and Real Estate, University of South Alabama, Mobile, USA
| | - G S Shanthi
- Department of Geriatric Medicine, Madras Medical College, Chennai, India
| | - Ravi Kurup
- Department of Medicine, Government Medical College, Thiruvananthapuram, India
| | - Aruna Raman
- Department of Medicine, Government Medical College, Thiruvananthapuram, India
| | - Sankha Shubhra Chakrabarti
- Department of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Indrajeet Singh Gambhir
- Department of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Mathew Varghese
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - John P John
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Himanshu Joshi
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Parvaiz A Koul
- Department of Internal and Pulmonary Medicine, Sher-e-Kashmir Institute of Medical Sciences, Srinagar, India
| | | | | | - Rashmi Ranjan Mohanty
- Department of Medicine, All India Institute of Medical Sciences, Bhubaneshwar, India
| | | | - Mekala Padmaja
- Department of Medicine, Nizam's Institute of Medical Sciences, Hyderabad, India
| | - Lalit Sankhe
- Department of Community Medicine, Grant Medical College and J.J. Hospital, Mumbai, India
| | - Chhaya Rajguru
- Department of Community Medicine, Grant Medical College and J.J. Hospital, Mumbai, India
| | - Monica Gupta
- Department of General Medicine, Government Medical College and Hospital, Chandigarh, India
| | - Govind Kumar
- Department of Medicine Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India
| | - Minakshi Dhar
- Department of Medicine, All India Institute of Medical Sciences, Rishikesh, India
| | - Jorge Jovicich
- Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy
| | - Andrea Ganna
- Finnish Institute of Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Mary Ganguli
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Prasun Chatterjee
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sunny Singhal
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Rishav Bansal
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Swati Bajpai
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Gaurav Desai
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | | | - Abhijith R Rao
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Palanimuthu T Sivakumar
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Krishna Prasad Muliyala
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Preeti Sinha
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Santosh Loganathan
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Erik Meijer
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Marco Angrisani
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Jung Ki Kim
- School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Sharmistha Dey
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Perianayagam Arokiasamy
- Department of Development Studies, International Institute for Population Sciences, Mumbai, India
| | - David E Bloom
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Kenneth Langa
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Eileen M Crimmins
- School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Aparajit B Dey
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
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Banerjee J, Jain U, Khobragade P, Weerman B, Hu P, Chien S, Dey S, Chatterjee P, Saxton J, Keller B, Crimmins E, Toga A, Jain A, Shanthi G, Kurup R, Raman A, Chakrabarti SS, Varghese M, John JP, Joshi H, Koul P, Goswami D, Talukdar A, Mohanty RR, Yadati YSR, Padmaja M, Sankhe L, Pedgaonkar S, Arokiasamy P, Bloom DE, Langa K, Jovicich J, Dey AB, Lee J. Methodological considerations in designing and implementing the harmonized diagnostic assessment of dementia for longitudinal aging study in India (LASI-DAD). Biodemography Soc Biol 2020; 65:189-213. [PMID: 32727279 PMCID: PMC7398273 DOI: 10.1080/19485565.2020.1730156] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India (LASI-DAD) is a population-representative, prospective cohort study of late-life cognition and dementia. It is part of an ongoing international research collaboration that aims to measure and understand cognitive impairment and dementia risk by collecting a set of cognitive and neuropsychological assessments and informant reports, referred to as the Harmonized Cognitive Assessment Protocol (HCAP). LASI-DAD provides nationally representative data drawn from a subsample of the ongoing Longitudinal Aging Study in India (LASI). One of LASI-DAD's distinctive features is its rich geriatric assessment, including the collection of venous blood samples and brain imaging data for a subsample of respondents. In this paper, we discuss the methodological considerations of developing and implementing the HCAP protocol in India. The lessons we learned from translating and applying the HCAP protocol in an environment where illiteracy and innumeracy are high will provide important insights to researchers interested in measuring and collecting data on late-life cognition and dementia in developing countries. We further developed an innovative blood management system that enables us to follow the collection, transportation, assay, and storage of samples. Such innovation can benefit other population surveys collecting biomarker data.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ravi Kurup
- Government Medical College, Thiruvananthapuram
| | - Aruna Raman
- Government Medical College, Thiruvananthapuram
| | | | - Mathew Varghese
- National Institute of Mental Health and Neurosciences, Bengaluru
| | - John P. John
- National Institute of Mental Health and Neurosciences, Bengaluru
| | - Himanshu Joshi
- National Institute of Mental Health and Neurosciences, Bengaluru
| | - Parvaiz Koul
- Sher-e-Kashmir Institute of Medical Sciences, Srinagar
| | | | | | | | | | | | | | | | | | | | - Kenneth Langa
- University of Michigan and Veterans Affairs Ann ArborCenter for Clinical Management Research
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