The 3D-Transition Study: Objectives, Methods, and Implementation of an Innovative Planned Missing-Data Design.
Am J Epidemiol
; 190(11): 2262-2274, 2021 11 02.
Article
in English
| MEDLINE | ID: covidwho-1517822
ABSTRACT
The prevalence of mental health problems represents a significant burden on school and community health resources as early as preschool. Reducing this burden requires a better understanding of the developmental mechanisms linking children's early vulnerabilities with mental health after the transition to formal schooling. The 3D-Transition Study (2017-2021) follows 939 participants from a pregnancy cohort in the province of Québec, Canada, as they transition to kindergarten and first grade to examine these mechanisms. Biannual assessments include completed questionnaires from 2 parents as well as teachers, parent-child observations, anthropometric measurements, and age-sensitive cognitive assessments. Saliva is also collected on 11 days over a 16-month period in a subsample of 384 participants to examine possible changes in child salivary cortisol levels across the school transition and their role in difficulties observed during the transition. A combination of planned missing-data designs is being implemented to reduce participant burden, where incomplete data are collected without introducing bias after the use of multiple imputation. The 3D-Transition Study will contribute to an evidence-based developmental framework of child mental health from pregnancy to school age. In turn, this framework can help inform prevention programs delivered in health-care settings during pregnancy and in child-care centers, preschools, and schools.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Prenatal Exposure Delayed Effects
/
Schools
/
Stress, Psychological
/
Mental Health
/
Epidemiologic Research Design
Type of study:
Cohort study
/
Observational study
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Prognostic study
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Qualitative research
Limits:
Child, preschool
/
Female
/
Humans
/
Infant
/
Male
/
Pregnancy
Language:
English
Journal:
Am J Epidemiol
Year:
2021
Document Type:
Article
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