Charting the life course: Emerging opportunities to advance scientific approaches using life course research

Heidi A. Hanson; Claire L. Leiser; Gretchen Bandoli; Brad H. Pollock; Margaret R. Karagas; Daniel Armstrong; Ann Dozier; Nicole G. Weiskopf; Maureen Monaghan; Ann M. Davis; Elizabeth Eckstrom; Chunhua Weng; Jonathan N. Tobin; Frederick Kaskel; Mark R. Schleiss; Peter Szilagyi; Carrie Dykes; Dan Cooper; Shari L. Barkin

doi:10.1017/cts.2020.492

Charting the life course: Emerging opportunities to advance scientific approaches using life course research

Heidi A. Hanson, Claire L. Leiser, Gretchen Bandoli, Brad H. Pollock, Margaret R. Karagas, Daniel Armstrong, Ann Dozier, Nicole G. Weiskopf, Maureen Monaghan, Ann M. Davis, Elizabeth Eckstrom, Chunhua Weng, Jonathan N. Tobin, Frederick Kaskel, Mark R. Schleiss, Peter Szilagyi, Carrie Dykes, Dan Cooper, Shari L. Barkin

Research output: Contribution to journal › Article › peer-review

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Abstract

Life course research embraces the complexity of health and disease development, tackling the extensive interactions between genetics and environment. This interdisciplinary blueprint, or theoretical framework, offers a structure for research ideas and specifies relationships between related factors. Traditionally, methodological approaches attempt to reduce the complexity of these dynamic interactions and decompose health into component parts, ignoring the complex reciprocal interaction of factors that shape health over time. New methods that match the epistemological foundation of the life course framework are needed to fully explore adaptive, multilevel, and reciprocal interactions between individuals and their environment. The focus of this article is to (1) delineate the differences between lifespan and life course research, (2) articulate the importance of complex systems science as a methodological framework in the life course research toolbox to guide our research questions, (3) raise key questions that can be asked within the clinical and translational science domain utilizing this framework, and (4) provide recommendations for life course research implementation, charting the way forward. Recent advances in computational analytics, computer science, and data collection could be used to approximate, measure, and analyze the intertwining and dynamic nature of genetic and environmental factors involved in health development.

Original language	English
Article number	e9
Journal	Journal of Clinical and Translational Science
Volume	5
Issue number	1
DOIs	https://doi.org/10.1017/cts.2020.492
State	Published - 2021
Externally published	Yes

Funding

The authors would like to thank Karen Bandeen Roche, William Hay, and Rashmi Gopal-Srivastava for their valuable feedback. They would also like to thank Brenna Kelly for designing Fig. 1. This publication was made possible by the following CTSA grants from the National Center for Advancing Translational Science (NCATS), National Institutes of Health (UL1TR001067, UL1TR002001, UL1TR001873, UL1TR001442, UL1TR001876, UL1TR002369, UL1TR001414, U01TR002004, UL1TR002494, UL1TR001086, UL1TR001866). Heidi A. Hanson is also partially supported by the National Institutes of Health K07 Award 1K07CA230150-01. Nicole G. Weiskopf is partially supported by the National Library of Medicine K01 Award LM012738. Brad H. Pollock is partially support by NIH UL1TR000002. Daniel Armstrong is partially supported by Agency for Community Living 90DDUC0031-03. Dan Cooper is partially supported by NIH R01HL110163 and P01HD048721. M Schleiss is partially supported by R01 HD079918. F. Kaskel is partially supported by NIHT32 NIDDK 5T32DK 007110-46. C Weng is also supported by the National Library of Medicine R01 LM009886 project. G Bandoli is also partially supported by the National Institutes of Health K01 Award K01 AA027811. This publication was made possible by the following CTSA grants from the National Center for Advancing Translational Science (NCATS), National Institutes of Health (UL1TR001067, UL1TR002001, UL1TR001873, UL1TR001442, UL1TR001876, UL1TR002369, UL1TR001414, U01TR002004, UL1TR002494, UL1TR001086, UL1TR001866). Heidi A. Hanson is also partially supported by the National Institutes of Health K07 Award 1K07CA230150-01. Nicole G. Weiskopf is partially supported by the National Library of Medicine K01 Award LM012738. Brad H. Pollock is partially support by NIH UL1TR000002. Daniel Armstrong is partially supported by Agency for Community Living 90DDUC0031-03. Dan Cooper is partially supported by NIH R01HL110163 and P01HD048721. M Schleiss is partially supported by R01 HD079918. F. Kaskel is partially supported by NIHT32 NIDDK 5T32DK 007110-46. C Weng is also supported by the National Library of Medicine R01 LM009886 project. G Bandoli is also partially supported by the National Institutes of Health K01 Award K01 AA027811.

Keywords

complexity science
cytomegalovirus
life course and lifespan
life course methods
life course research priorities
Translational life course research

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10.1017/cts.2020.492

Cite this

Hanson, H. A., Leiser, C. L., Bandoli, G., Pollock, B. H., Karagas, M. R., Armstrong, D., Dozier, A., Weiskopf, N. G., Monaghan, M., Davis, A. M., Eckstrom, E., Weng, C., Tobin, J. N., Kaskel, F., Schleiss, M. R., Szilagyi, P., Dykes, C., Cooper, D., & Barkin, S. L. (2021). Charting the life course: Emerging opportunities to advance scientific approaches using life course research. Journal of Clinical and Translational Science, 5(1), Article e9. https://doi.org/10.1017/cts.2020.492

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title = "Charting the life course: Emerging opportunities to advance scientific approaches using life course research",

abstract = "Life course research embraces the complexity of health and disease development, tackling the extensive interactions between genetics and environment. This interdisciplinary blueprint, or theoretical framework, offers a structure for research ideas and specifies relationships between related factors. Traditionally, methodological approaches attempt to reduce the complexity of these dynamic interactions and decompose health into component parts, ignoring the complex reciprocal interaction of factors that shape health over time. New methods that match the epistemological foundation of the life course framework are needed to fully explore adaptive, multilevel, and reciprocal interactions between individuals and their environment. The focus of this article is to (1) delineate the differences between lifespan and life course research, (2) articulate the importance of complex systems science as a methodological framework in the life course research toolbox to guide our research questions, (3) raise key questions that can be asked within the clinical and translational science domain utilizing this framework, and (4) provide recommendations for life course research implementation, charting the way forward. Recent advances in computational analytics, computer science, and data collection could be used to approximate, measure, and analyze the intertwining and dynamic nature of genetic and environmental factors involved in health development.",

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year = "2021",

doi = "10.1017/cts.2020.492",

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Hanson, HA, Leiser, CL, Bandoli, G, Pollock, BH, Karagas, MR, Armstrong, D, Dozier, A, Weiskopf, NG, Monaghan, M, Davis, AM, Eckstrom, E, Weng, C, Tobin, JN, Kaskel, F, Schleiss, MR, Szilagyi, P, Dykes, C, Cooper, D & Barkin, SL 2021, 'Charting the life course: Emerging opportunities to advance scientific approaches using life course research', Journal of Clinical and Translational Science, vol. 5, no. 1, e9. https://doi.org/10.1017/cts.2020.492

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T2 - Emerging opportunities to advance scientific approaches using life course research

AU - Hanson, Heidi A.

AU - Leiser, Claire L.

AU - Bandoli, Gretchen

AU - Pollock, Brad H.

AU - Karagas, Margaret R.

AU - Armstrong, Daniel

AU - Dozier, Ann

AU - Weiskopf, Nicole G.

AU - Monaghan, Maureen

AU - Davis, Ann M.

AU - Eckstrom, Elizabeth

AU - Weng, Chunhua

AU - Tobin, Jonathan N.

AU - Kaskel, Frederick

AU - Schleiss, Mark R.

AU - Szilagyi, Peter

AU - Dykes, Carrie

AU - Cooper, Dan

AU - Barkin, Shari L.

PY - 2021

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N2 - Life course research embraces the complexity of health and disease development, tackling the extensive interactions between genetics and environment. This interdisciplinary blueprint, or theoretical framework, offers a structure for research ideas and specifies relationships between related factors. Traditionally, methodological approaches attempt to reduce the complexity of these dynamic interactions and decompose health into component parts, ignoring the complex reciprocal interaction of factors that shape health over time. New methods that match the epistemological foundation of the life course framework are needed to fully explore adaptive, multilevel, and reciprocal interactions between individuals and their environment. The focus of this article is to (1) delineate the differences between lifespan and life course research, (2) articulate the importance of complex systems science as a methodological framework in the life course research toolbox to guide our research questions, (3) raise key questions that can be asked within the clinical and translational science domain utilizing this framework, and (4) provide recommendations for life course research implementation, charting the way forward. Recent advances in computational analytics, computer science, and data collection could be used to approximate, measure, and analyze the intertwining and dynamic nature of genetic and environmental factors involved in health development.

AB - Life course research embraces the complexity of health and disease development, tackling the extensive interactions between genetics and environment. This interdisciplinary blueprint, or theoretical framework, offers a structure for research ideas and specifies relationships between related factors. Traditionally, methodological approaches attempt to reduce the complexity of these dynamic interactions and decompose health into component parts, ignoring the complex reciprocal interaction of factors that shape health over time. New methods that match the epistemological foundation of the life course framework are needed to fully explore adaptive, multilevel, and reciprocal interactions between individuals and their environment. The focus of this article is to (1) delineate the differences between lifespan and life course research, (2) articulate the importance of complex systems science as a methodological framework in the life course research toolbox to guide our research questions, (3) raise key questions that can be asked within the clinical and translational science domain utilizing this framework, and (4) provide recommendations for life course research implementation, charting the way forward. Recent advances in computational analytics, computer science, and data collection could be used to approximate, measure, and analyze the intertwining and dynamic nature of genetic and environmental factors involved in health development.

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KW - cytomegalovirus

KW - life course and lifespan

KW - life course methods

KW - life course research priorities

KW - Translational life course research

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DO - 10.1017/cts.2020.492

M3 - Article

AN - SCOPUS:85103515033

SN - 2059-8661

VL - 5

JO - Journal of Clinical and Translational Science

JF - Journal of Clinical and Translational Science

IS - 1

M1 - e9

ER -

Charting the life course: Emerging opportunities to advance scientific approaches using life course research

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Keywords

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