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Harvard School of Public Health Longitudinal Studies of Child Health and Development (The Growth Study)
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Sample details

The Growth Study began in 1930 to understand health and development in childhood. Between 1930 and 1939, over 300 participants were recruited from the Boston area, in Massachusetts, United States of America, who were primarily of North European ancestry. The study followed participants and their families from the prenatal period to 18 years at various intervals. Several follow-up studies were conducted after the conclusion of the original study: a 30-year follow-up study on adult health related to childhood health; a 40-year follow-up study on blood pressure and cardiac health; and a 50-year follow-up study on gynaecology and memory of dietary habits in the distant past.

Study design
Cohort - birth, Cohort

Number of participants at first data collection

309 (families)

Age at first data collection

Birth (infants)

Varied (family members)

Participant year of birth

Varied (infants)

Varied (family members)

Participant sex
All

Representative sample at baseline?
No

Sample features

Children and young people
Family members
Newborns, infants and babies
Dataset details

Country

United States of America

Year of first data collection

1930

Primary Institutions

Harvard University

Links

dataverse.harvard.edu/dataverse/HSPH_LSCHD

hollisarchives.lib.harvard.edu/repositories/14/resources/7094

countway.harvard.edu/news/staff-finds-growth-development-charts

Profile paper DOI
Not available

Funders

Andrew W. Mellon Foundation

Ongoing?
No

Data types collected

mentalHealthData
qualitativeData
dataLinkage
Quantitative data collection
  • Audio or visual recordings (e.g. of child behaviour, facial expressions)
  • 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
  • Creative, arts-based and visual methods
Neuroimaging data collection
  • None
Linked or secondary data
  • Education data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Anthropometry
    Chronic illness
    Cognition
    Diet and nutrition
    Growth
    Health and wellbeing
    Medical history
    Physical development
    Social functioning
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