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Mauritius Child Health Project
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Sample details

The Mauritius Child Health Project has followed a birth cohort of over 1,750 participants born across 1969 - 1970 from the island nation of Mauritius for over 40 years. Participants were recruited from vaccination records across 2 major towns in a densely populated part of the mid-west of the island: Quatre Bornes and Vacoas. Initial data collection took place when participants were 3 years old, with follow up data collected at ages 8, 11, 17, 23, 28, 35, and 40 years old. Data has also been collected from the parents and offspring of the birth cohort at several time points alongside the cohort members.

Study design
Cohort - intergenerational, Cohort - birth

Number of participants at first data collection

1,795 (participants)

Age at first data collection

3 years (participants)

Participant year of birth

1969 - 1970 (participants)

Participant sex
All

Representative sample at baseline?
The ethnicities in the Mauritius general population as of 1972.

Sample features

Community-based sample
Intergenerational
Newborns, infants and babies
Dataset details

Country

Mauritius

Year of first data collection

1972

Primary Institutions

University of Mauritius (Université de Maurice, UoM)

University of Southern California (USC)

Links

dornsife.usc.edu/susan-luczak/mauritius-joint-child-health-project/

doi.org/10.1371/journal.pone.0278618

Profile paper DOI

doi.org/10.1093/ije/dyp341

Funders

Danish International Aid Organization (now known as Danish International Development Agency, DANIDA)

Danish State Department for Technical Collaboration with Developing Counties

Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)

Ford Foundation

Government of Mauritius

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
qualitativeData
dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • 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
  • Ethnography or participant observation
Neuroimaging data collection
  • Electroencephalography (EEG)
Linked or secondary data
  • Healthcare data
  • Medical birth registry
  • Police & judicial system data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Cognitive function
    Health and wellbeing
    Intergenerational
    Mental health
    Risk factors
    Schizophrenia
    Sub-studies
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