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Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE)
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Sample details

J-SHINE aims to clarify the complex associations between social factors and health from an interdisciplinary perspective. Adult community inhabitants, aged 25–50 years, were probabilistically selected from the residential registry in each of four municipalities (two in the Tokyo metropolitan area and two in neighboring prefectures). Wave 1 sample sizes were 4,357 for wave 1 participants, 1,873 for spouse/partner, and 1,520 for child. Wave 2 captured 69.0% of wave 1 participants. A subpopulation underwent physiological (n = 2,468) and biomarker (n = 1,205) measurements. Of the participants, 3,925 (90.0%) accessed the questionnaire through the internet, 412 (9.5%) used a stand-alone CAPI system, and 20 (0.5%) accepted an interview using the CAPI. Half of the participants who chose an interview were aged 45 to 50 years

Study design
Cohort

Number of participants at first data collection

4,357 (participants)

1,520 (children)

1,873 (spouses/partners)

Age at first data collection

25 - 50 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The residents of the targeted Japanese municipalities.

Sample features

Adults
Households and household members
Middle-aged people
Young adults
Dataset details

Country

Japan

Year of first data collection

2010

Primary Institutions

University of Tokyo (東京大学, UTokyo)

Links

webpark1166.sakura.ne.jp/wp/%e7%a0%94%e7%a9%b6%e3%83%97%e3%83%ad%e3%82%b8%e3%82%a7%e3%82%af%e3%83%88/

Funders

Ministry of Education, Culture, Sports, Science and Technology (MEXT/Monbusho)

Ongoing?
Yes

Data types collected

mentalHealthData
Quantitative data collection
  • Self-report questionnaire – online
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Diet and nutrition
    Health and wellbeing
    Household panel
    Income and expenses
    Lifestyle
    Mental health
    Occupational health and wellbeing
    Physical health
    Psychological distress
    Social and political attitudes
    Social conditions and environment
    Social networks and relationships
    Socioeconomics
    Stress
    Stressful life events
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