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Young Lives India
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Sample details

The Young Lives study aims to investigate the changing nature of childhood poverty in four low-income countries: India, Peru, Vietnam and Ethiopia. Young Lives India, follows the lives of around 3,000 participants in the States of Andhra Pradesh and Telangana. This sample is split into two cohorts, the younger cohort born in 2001-2002 and the older cohort born in 1994 -1995. Since 2002, Young Lives India has conducted five rounds of quantitative and four rounds of qualitative surveys, two school surveys, a five-phone call surveys (2020 - 2021) and COVID-19 phone call survey.

Study design
Cohort - birth, Cohort - primary caregiver and child, Cohort - accelerated

Number of participants at first data collection

2,011 (younger cohort)

1,008 (older cohort)

Age at first data collection

6 - 18 months (younger cohort)

7 - 8 years (older cohort)

Participant year of birth

2001 - 2002 (younger cohort)

1994 - 1995 (older cohort)

Participant sex
All

Representative sample at baseline?
No

Sample features

Children and young people
Economically disadvantaged people
Young adults
Dataset details

Country

India

Year of first data collection

2002

Primary Institutions

Centre for Economic and Social studies (CESS)

University of Oxford

Links

younglives-india.org/

younglives.org.uk/india

doi.org/10.1093/ije/dys082

Profile paper DOI

doi.org/10.1093/ije/dyab111

Funders

Children's Investment Fund Foundation (CIFF)

Echidna Giving

Economic and Social Research Council (ESRC)

Foreign, Commonwealth & Development Office (FCDO)

Netherlands Ministry of Foreign Affairs

Ongoing?
Yes

Data types collected

mentalHealthData
qualitativeData
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
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
Qualitative data collection
  • Creative, arts-based and visual methods
  • Ethnography or participant observation
  • Interviews or focus groups
Neuroimaging data collection
  • None
Linked or secondary data
  • Geographic, spatial & environmental data
Features

Engagement

  • Patients, service users, lived experience involvement
  • Participant or community advisory groups
  • Community engagement
  • Keywords

    COVID-19
    Education
    Family environment and factors
    Gender inequality
    Health and wellbeing
    Human development
    Living conditions
    Low income
    Quality of life
    Work and employment
    Young adulthood

    Consortia and dataset groups

    Young Lives
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