Early Life Predictors of Child Development at Kindergarten: A Structural Equation Model using a Longitudinal Cohort Article Swipe
Sarah Turner
,
Stephanie Goguen
,
Brenden Dufault
,
Teresa Mayer
,
Piush J. Mandhane
,
Theo J. Moraes
,
Stuart E. Turvey
,
Elinor Simons
,
Padmaja Subbarao
,
Meghan B. Azad
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.11.06.24315323
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.11.06.24315323
Introduction Early child development sets the stage for lifelong health. Identifying early life factors related to child development can help guide programs and policies to bolster child health and wellbeing. The objective of this research was to examine how a broad range of predictors, measured prenatally to the third year of life, are related to child development at kindergarten. Methods We linked survey data from the Manitoba site of the CHILD Cohort Study with data from the Early Development Instrument (EDI) assessment, completed in kindergarten by the Manitoba public school system (n=442 children). The EDI measures five domains of development (ex. language, physical), scored to indicate the bottom 10% (i.e. ‘vulnerable’) of the population on one or more domains. Using structural equation modelling, we grouped 23 predictors of child development into six latent factors including prenatal exposures, child health and lifestyle, family stress, and socioeconomic status. We examined the associations between each latent factor and EDI vulnerability. Results Overall, 20.1% of children were vulnerable on one or more EDI domains. Higher family stress at 1 year and 3 years was related to a 0.20 (p-value ≤ 0.001) and 0.33 (p-value ≤ 0.001) standardized increase of EDI vulnerability. Higher socioeconomic status was related to a - 0.26 (p-value =0.01) standardized increase of EDI vulnerability, and this link was partially mediated through family stress at three years (10.6% mediated). Prenatal exposures (e.g. maternal diet quality), as well as child health and lifestyle factors (e.g. weekday sleep) were not related to EDI vulnerability. Conclusions Supporting parental mental health throughout early life, universal screening for early life stress, as well as targeting programs and supports for those living with low SES appear to be priority areas that could help to improve early child development.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.11.06.24315323
- https://www.medrxiv.org/content/medrxiv/early/2024/11/07/2024.11.06.24315323.full.pdf
- OA Status
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- References
- 33
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://doi.org/10.1101/2024.11.06.24315323Digital Object Identifier
- Title
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Early Life Predictors of Child Development at Kindergarten: A Structural Equation Model using a Longitudinal CohortWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-07Full publication date if available
- Authors
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Sarah Turner, Stephanie Goguen, Brenden Dufault, Teresa Mayer, Piush J. Mandhane, Theo J. Moraes, Stuart E. Turvey, Elinor Simons, Padmaja Subbarao, Meghan B. AzadList of authors in order
- Landing page
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https://doi.org/10.1101/2024.11.06.24315323Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2024/11/07/2024.11.06.24315323.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2024/11/07/2024.11.06.24315323.full.pdfDirect OA link when available
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Structural equation modeling, Cohort, Longitudinal study, Developmental psychology, Psychology, Child development, Longitudinal data, Demography, Statistics, Mathematics, SociologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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