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1934–66 Mysore Birth Records Cohort
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Sample details

The study identified over 6,000 singletons born in India between 1934 and 1966, with 3,427 successfully matched to their birth records. Of the matched individuals, just over a thousand participated in a study between 1993 and 2003, forming the Mysore Birth Records Cohort. The study aims to recruit individuals from the original 3,427 who were not previously approached, potentially increasing the cohort size for future research. In 2017, a subset of participants were followed up as part of the MYsore studies of Natal effects on Ageing and Health (MYNAH) study to measure cognitive function, cardiometabolic disorders and mental disorders in late life.

Study design
Cohort

Number of participants at first data collection

1,069 (participants)

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Under-represented groups
Dataset details

Country

India

Year of first data collection

1934 (birth records)

1993 (study inception)

Primary Institutions

CSI Holdsworth Memorial Hospital

Links

doi.org/10.1136/bmjopen-2016-012552

portal.dementiasplatform.com.au/crs-directory/mynah

Profile paper DOI

doi.org/10.1093/ije/dyv176

Funders

Department for International Development (DFID) now known as Foreign, Commonwealth & Development Office (FCDO)

Medical Research Council (MRC)

Parthenon Trust

Wellcome Trust

Wessex Medical Trust

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Medical birth registry
Features

Engagement

  • None
  • Keywords

    Ageing
    Biological samples/biospecimens
    Biomarkers
    Epidemiology
    Inequality
    Life outcomes
    Lifecourse
    Physical health
    Physical health assessments
    Quality of life
    Socioeconomics
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