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Cohort Acronym
JSTAR

Cohort type
General population-based cohort

Disease
Dementia (unclassified)

Participant type
No diagnosis

Profile
Recruitment Period 2007-2017 
Sample size at start or planned sample size if still recruiting 7,268  
Estimated Current Sample Size  
Age at Recruitment >50 <75   
Gender Male and Female 
Abstract

JSTAR project researchers aimed to construct a world-class longitudinal dataset on middle-aged and elderly Japanese persons to enable researchers worldwide to perform scientific investigation on aging and retirement from an international perspective. Despite the rapid aging of the Japanese population, no statistical survey that could properly capture the diversity of the elderly population from various viewpoints had been carried out in Japan until recently. RIETI, Hitotsubashi University jointly launched a comprehensive survey of elderly people in 2007 to collect panel data on their lives and health, with the University of Tokyo joining from 2009 onward.
The 2009 JSTAR survey includes a follow-up survey of the respondents to the 2007 survey and an initial survey of elderly people in two additional municipalities, i.e., Tosu in Saga Prefecture and Naha in Okinawa Prefecture, whereas the 2011 JSTAR Survey includes follow-up surveys of the respondents to the 2007 and 2009 surveys plus an initial survey of elderly people in three additional municipalities, Tondabayashi, Chofu, and Hiroshima

 
Country Japan 
Contact details
Institution name The Research Institute of Economy, Trade and Industry (RIETI), Hitotsubashi University and The University of Tokyo 
Website http://www.rieti.go.jp/en/projects/jstar/index.html  
Principal Investiator (PI) Hidehiko Ichimura, Satoshi Shimizutani 
Contact email [email protected]; [email protected]; [email protected]; [email protected] 
Contact phone number  
Address  
Funders (Core support) Research Institute of Economy, Trade and Industry (RIETI) 

Variables Collected

Brain related measures: N/A
Funtional rating: Individual physiological, Individual psychological
Anthropometric: Blood pressure, Height, Weight
Physical: Cardiovascular, Hearing and Vision, Musculoskeletal, Reproductive, Respiratory
Biological samples: N/A
Genotyping: N/A
Brain imaging: N/A
Brain banking: N/A
Lifestyle: Alcohol, Dietary habits, Physical activity, Smoking
Socio-economic: Education, Family circumstances, Income and finances, Informal support, Martial status, Occupation and employment, Unpaid care
Health service utilisation: Formal health and social care service utilisation including private care
 
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