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Cited by 1,044

The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index.

Resilience Theory and Research on Children and Families: Past, Present, and Promise

Masten, Ann S.·2018·Journal of Family Theory & Review

Abstract

Origins and advances in the history of resilience science with children and families are highlighted in this article, with a focus on interconnections and integration. Individual and family resilience scholarship reflect interwoven roots, and there is a growing impetus to integrate knowledge and strategies to inform practice and policies to mitigate risk and promote resilience in systems that shape human adaptation over the life course. Resilience is defined as the capacity of a system to adapt successfully to significant challenges that threaten its function, viability, or development. Research evidence is summarized to illustrate parallels in concepts and findings from studies of child and family resilience, with special emphasis on parenting processes. Integrating models, findings, methods, and training across multiple systems and levels holds great promise for elucidating resilience processes that will inform efforts to build capacity for healthy adaptation in the face of rising threats to families and societies around the world.

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Metadata

Authors
Masten, A. S.
Venue
Journal of Family Theory & Review
Publisher
Wiley
Published
2018-02-26
Volume
10
Issue
1
Pages
12-31
ISSN
  • 1756-2570 (ISSN-L)
  • 1756-2589
OpenAlex
W2794372866
Cited by
1,044
References
134
FWCI
82.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Resilience Theory and Research on Children and Families: Past, Present, and Promise. https://app.cochat.ai/papers/10.1111/jftr.12255
The paper
Masten, A. S. (2018). Resilience Theory and Research on Children and Families: Past, Present, and Promise. Journal of Family Theory & Review. https://doi.org/10.1111/jftr.12255

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.