Sensitive periods and other timing hypotheses in developmental psychopathology: A tutorial

Researchers often aim to assess whether repeated measures of an exposure are associated with repeated measures of an outcome. A question of particular interest is how associations between exposures and outcomes may differ over time. In other words, researchers may seek the best form of a temporal model. While several models are possible, researchers often consider a few key models. For example, researchers may hypothesize that an exposure measured during a sensitive period may be associated with repeated measures of the outcome over time. Alternatively, they may hypothesize that the exposure measured immediately before the current time period may be most strongly associated with the outcome at the current time. Finally, they may hypothesize that all prior exposures are important. Many analytic methods cannot compare and evaluate these alternative temporal models, perhaps because they make the restrictive assumption that the associations between exposures and outcomes remains constant over time. Instead, we provide a tutorial describing four temporal models that allow the associations between repeated measures of exposures and outcomes to vary, and showing how to test which temporal model is best supported by the data. By finding the best temporal model, developmental psychopathology researchers can find optimal windows for intervention.

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Publication Details

Journal
Development and Psychopathology
Published
2024-09-23
DOI
https://doi.org/10.1017/s0954579424001299
Primary Topic
Early Childhood Education and Development
Type
article
Field-Weighted Citation Impact
0.00

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article

Sensitive periods and other timing hypotheses in developmental psychopathology: A tutorial

Elysia Poggi Davis, Deborah H. Glueck, LillyBelle Ku'ulei Deer, Jenalee R. Doom et al.
Development and Psychopathology
Early Childhood Education and Development
article

Sensitive periods and other timing hypotheses in developmental psychopathology: A tutorial

Elysia Poggi Davis, Deborah H. Glueck, LillyBelle Ku'ulei Deer, Jenalee R. Doom, Kylie K. Harrall, Dana Dabelea, Keith E. Muller
article en

Abstract

Researchers often aim to assess whether repeated measures of an exposure are associated with repeated measures of an outcome. A question of particular interest is how associations between exposures and outcomes may differ over time. In other words, researchers may seek the best form of a temporal model. While several models are possible, researchers often consider a few key models. For example, researchers may hypothesize that an exposure measured during a sensitive period may be associated with repeated measures of the outcome over time. Alternatively, they may hypothesize that the exposure measured immediately before the current time period may be most strongly associated with the outcome at the current time. Finally, they may hypothesize that all prior exposures are important. Many analytic methods cannot compare and evaluate these alternative temporal models, perhaps because they make the restrictive assumption that the associations between exposures and outcomes remains constant over time. Instead, we provide a tutorial describing four temporal models that allow the associations between repeated measures of exposures and outcomes to vary, and showing how to test which temporal model is best supported by the data. By finding the best temporal model, developmental psychopathology researchers can find optimal windows for intervention.

Development and PsychopathologyVol. 37(4)
University of Denver (US), University of California, Irvine (US), University of Florida Health (US), University of Colorado System (US), University of Florida (US), University of Colorado Anschutz Medical Campus (US), University of Colorado Denver (US), Florida College (US)
National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Institute of General Medical Sciences
Quality Education
Openalex Percentile: Top 78%
Early Childhood Education and Development
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