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Cohort Acronym
LASI

Cohort type
General population-based cohort

Disease
Alzheimer's disease, Parkinson's disease

Participant type
No diagnosis

Profile
Recruitment Period 2016-2017 
Sample size at start or planned sample size if still recruiting 60250  
Estimated Current Sample Size  
Age at Recruitment >45   
Gender Male and Female 
Abstract

The main objective of the Longitudinal Ageing Study in India (LASI) is to provide comprehensive longitudinal evidence base on health, social and economic wellbeing of elderly population in India.

LASI main wave’s covers 30 states and 6 union territories of India covering a panel sample size of 60,250 elderly persons aged 45 years and above. The long-term goal of LASI is to continue this survey for the next 25 years with the first wave planned in the year 2016-17 and second wave in 2018-19. LASI aims to obtain all the indicators for each of the 30 states and 6 union territories. In addition, LASI aims at obtaining indicators for each of the four metropolitan cities of Delhi, Kolkata, Mumbai and Chennai.

Last update – 10/02/2017

 
Country India 
Contact details
Institution name Harvard T. H. Chan School of Public Health (HSPH)
International Institute of Population of Sciences (IIPS)
University of Southern California (USC) 
Principal Investiator (PI) Professor Jinkook Lee, Professor David Bloom and Professor Perianayagam Arokiasamy 
Contact email PI Email: jinkookl@usc.edu 
Contact phone number  
Address University of Southern California (USC),
Los Angeles,
CA 90007,
USA 
Funders (Core support) Ministry of Health and Family Welfare (MoHFW) Govt. of India
National Institute on Aging (NIA)/ National Institutes of Health (NIH), USA
The United Nations Population Fund (UNFPA), India 

Variables Collected

Brain related measures: Cognitive function, Mental health, Neurological
Funtional rating: Caregiver, Individual physiological, Individual psychological
Anthropometric: Blood pressure, Height, Hip circumference, Waist circumference, Weight
Physical: Cardiovascular, Hearing and Vision, Musculoskeletal, Respiratory
Biological samples: Blood
Genotyping: Gene screening
Brain imaging: Magnetic resonance imaging (MRI)
Brain banking: N/A
Lifestyle: Alcohol, Dietary habits, Physical activity, Smoking
Socio-economic: Education, Ethnic group, Family circumstances, Housing and accommodation, Income and finances, Informal support, Marital status, Occupation and employment, Unpaid care
Health service utilisation: Formal health and social care service utilisation including private care
 
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