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44. Associating Growth in Infancy and Cognitive Performance in Early Childhood: A functional data analysis approach

Author

Hadjipantelis, Pantelis Z., Han, Kyunghee, Wang, Jane-Ling, Yang, Seungmi, Martin, Richard M., Kramer, Michael S., Oken, Emily, and Müller, Hans-Georg

Subjects
Statistics - Applications
Abstract

Physical growth traits can be naturally represented by continuous functions. In a large dataset of infancy growth patterns, we develop a practical approach to infer statistical associations between growth-trajectories and IQ performance in early childhood. The main objective of this study is to show how to assess physical growth curves and detect if particular infancy growth patterns are associated with differences in IQ (Full-scale WASI scores) in later ages using a semi-parametric functional response model. Additionally, we investigate the association between different growth measurements in terms of their cross-correlation with each other, their correlation with later IQ, as well as their time-varying dynamics. This analysis framework can easily incorporate or learn population information in a non-parametric way, rendering the existence of prior population charts partially redundant.

Published
2018

46. Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development.

Author

Han, Kyunghee, Hadjipantelis, Pantelis Z, Wang, Jane-Ling, Kramer, Michael S, Yang, Seungmi, Martin, Richard M, and Müller, Hans-Georg

Subjects
Multivariate Analysis, Models, Statistical, Risk, Longitudinal Studies, Intelligence, Cognition, Growth and Development, Principal Component Analysis, Time Factors, Models, Statistical, General Science & Technology
Abstract

For longitudinal studies with multivariate observations, we propose statistical methods to identify clusters of archetypal subjects by using techniques from functional data analysis and to relate longitudinal patterns to outcomes. We demonstrate how this approach can be applied to examine associations between multiple time-varying exposures and subsequent health outcomes, where the former are recorded sparsely and irregularly in time, with emphasis on the utility of multiple longitudinal observations in the framework of dimension reduction techniques. In applications to children's growth data, we investigate archetypes of infant growth patterns and identify subgroups that are related to cognitive development in childhood. Specifically, "Stunting" and "Faltering" time-dynamic patterns of head circumference, body length and weight in the first 12 months are associated with lower levels of long-term cognitive development in comparison to "Generally Large" and "Catch-up" growth. Our findings provide evidence for the statistical association between multivariate growth patterns in infancy and long-term cognitive development.

Published
2018

49. The longitudinal association between early-life screen viewing and abdominal adiposity—findings from a multiethnic birth cohort study

Author

Padmapriya, Natarajan, Tint, Mya-Thway, Sadananthan, Suresh Anand, Michael, Navin, Chen, Bozhi, Cai, Shirong, Toh, Jia Ying, Lanca, Carla, Tan, Kok Hian, Saw, Seang Mei, Shek, Lynette Pei-Chi, Chong, Yap Seng, Gluckman, Peter D., Lee, Yung Seng, Yap, Fabian, Fortier, Marielle V., Chong, Mary Foong-Fong, Godfrey, Keith M., Eriksson, Johan G., Velan, S. Sendhil, Kramer, Michael S., Bernard, Jonathan Y., and Müller-Riemenschneider, Falk

Published
2021
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