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On prospective resilience methods and precision medicine approaches

Published online by Cambridge University Press:  23 November 2023

Theodore D. Cosco*
Affiliation:
School of Public Policy, Simon Fraser University, Vancouver, BC, Canada Department of Gerontology, Simon Fraser University, Vancouver, BC, Canada Oxford Institute of Population Ageing, University of Oxford, Oxford, UK
John R. Best
Affiliation:
Department of Gerontology, Simon Fraser University, Vancouver, BC, Canada
Shawna Hopper
Affiliation:
Department of Gerontology, Simon Fraser University, Vancouver, BC, Canada
*
Correspondence should be addressed to: Email: tcosco@sfu.ca
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Abstract

Type
Letter to the Editor
Copyright
© International Psychogeriatric Association 2023

We read with great interest Miller-Lewis’ “Predicting and promoting resilience in later life” (Reference Miller-Lewis2023). Her emphasis on employing multiple methods to understand resilience resonates deeply with the work we undertake at the Precision Mental Health Lab (www.precisionmentalhealthlab.com) and has been influential in furthering both the conceptual and methodological approaches to the study of resilience (e.g., Cosco, et al. (Reference Cosco, Hardy, Howe and Richards2019) and Hopper, et al. (Reference Hopper, Best, Wister and Cosco2023)). We were honored to see her commentary and kind words on our paper “Contributors to mental health resilience in middle-aged and older adults: An analysis of the Canadian Longitudinal Study on Aging.”

Miller-Lewis’s approach to defining resilience through various methodological lenses aligns with our lab’s commitment to precision medicine in resilience research. A specific passage from the publication encapsulates this approach “Consideration should also be given to using more than one method to operationally define resilience… If similar resource factors emerge as predictive of resilience from different methodological approaches, this can increase our confidence that targeting these resources… is a worthwhile endeavor.” By integrating diverse methods, which include use of experimental and quasi-experimental methods, such as randomized controlled trials (RCT) and potentially natural experiments, we can identify genuine causal pathways, enabling the development of targeted interventions tailored to individual needs. In particular, intervention studies, notably RCTs, that examine between-group differences in sufficiently statistically powered samples may provide greater insights into these nuances. This type of triangulation of multiple methods is critical both in the context of the replication crisis that has plagued many psychological phenomena (Nosek et al., Reference Nosek2022), but also in the context of harder-to-pin-down constructs, such as resilience (Ungar, Reference Ungar2019). Once we are able to demonstrate evidence for causal pathways between exposure(s) and resilience using multiple methods in diverse sample groups, we can start to unpack with much greater granularity, the types of interventions that have the highest likelihood of success. Further, we can identify how and who is best suited to specific interventions.

Adopting aspects of precision medicine that focus on more individualized recommendations for resilience – rather than a one-size-fits-all model – is clearly the path forward. We must, however, be cognizant that these methods have their pitfalls, notably with respect to within-person variance over time (Senn, Reference Senn2018), and that these approaches must be continuously refined. Given the heterogeneity of the aging process and of older adults themselves, taking into greater consideration these nuances may allow for more targeted, and hopefully more effective, pathways to greater resilience. This type of approach is the foundation on which our Precision Mental Health Lab is built and one that has been greatly influenced by pioneers in the field, such as Miller-Lewis.

Miller-Lewis’ prior contributions and thoughtful commentary provide a valuable roadmap for the future of resilience research (e.g. Miller-Lewis et al., Reference Miller-Lewis, Searle, Sawyer, Baghurst and Hedley2013; Miller-Lewis, Reference Miller-Lewis2023), emphasizing the importance of multi-method strategies and approaches that lead to real-world impact.

Acknowledgments

The authors would like to thank Jessica Miskiewicz for her assistance in the drafting of this letter and Andrew Wister for his contributions to the original manuscript upon which Miller-Lewis’ commentary is based.

References

Cosco, T., Hardy, R., Howe, L. and Richards, M. (2019). Early-life adversity, later-life mental health, and resilience resources: a longitudinal population-based birth cohort analysis. International Psychogeriatrics, 31, 12491258. https://doi.org/10.1017/S1041610218001795.CrossRefGoogle Scholar
Hopper, S., Best, J., Wister, A. and Cosco, T. (2023). Contributors to mental health resilience in middle-aged and older adults: An analysis of the Canadian Longitudinal Study on Aging. International Psychogeriatrics, 110. https://doi.org/10.1017/S1041610223000224 CrossRefGoogle ScholarPubMed
Miller-Lewis, L. R. (2023). Predicting and promoting resilience in later life. International Psychogeriatrics, 25, 19. https://doi.org/10.1017/S1041610223000820.CrossRefGoogle Scholar
Miller-Lewis, L. R., Searle, A. K., Sawyer, M. G., Baghurst, P. A. and Hedley, D. (2013). Resource factors for mental health resilience in early childhood: an analysis with multiple methodologies. Child and Adolescent Psychiatry and Mental Health, 7, 6. https://doi.org/10.1186/1753-2000-7-6.CrossRefGoogle ScholarPubMed
Nosek, B. A. et al. (2022). Replicability, robustness, and reproducibility in psychological science. Annual Reviews in Psychology, 73, 719748.CrossRefGoogle ScholarPubMed
Senn, S. (2018). Statistical pitfalls of personalized medicine. Nature, 563, 619621. https://doi.org/10.1038/d41586-018-07535-2.CrossRefGoogle ScholarPubMed
Ungar, M. (2019). Designing resilience research: using multiple methods to investigate risk exposure, promotive and protective processes, and contextually relevant outcomes for children and youth. Child Abuse and Neglect, 96, 104098. https://doi.org/10.1016/j.chiabu.2019.104098.CrossRefGoogle ScholarPubMed