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Cited by 215

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Risk and resilience in military families experiencing deployment: The role of the family attachment network.

Riggs, Shelley A., Riggs, David S.·2011·Journal of Family Psychology

Abstract

Deployment separation constitutes a significant stressor for U.S. military men and women and their families. Many military personnel return home struggling with physical and/or psychological injuries that challenge their ability to reintegrate and contribute to marital problems, family dysfunction, and emotional or behavioral disturbance in spouses and children. Yet research examining the psychological health and functioning of military families is scarce and rarely driven by developmental theory. The primary purpose of this theoretical paper is to describe a family attachment network model of military families during deployment and reintegration that is grounded in attachment theory and family systems theory. This integrative perspective provides a solid empirical foundation and a comprehensive account of individual and family risk and resilience during military-related separations and reunions. The proposed family attachment network model will inform future research and intervention efforts with service members and their families.

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Crossref · 10.1037/a0025286

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Metadata

Authors
Riggs, S. A., & Riggs, D. S.
Venue
Journal of Family Psychology
Published
2011-10
Volume
25
Issue
5
Pages
675-687
ISSN
  • 0893-3200 (ISSN-L)
  • 1939-1293
OpenAlex
W2157203175
Cited by
215
References
3
FWCI
17.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Risk and resilience in military families experiencing deployment: The role of the family attachment network. https://app.cochat.ai/papers/10.1037/a0025286
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Riggs, S. A., & Riggs, D. S. (2011). Risk and resilience in military families experiencing deployment: The role of the family attachment network. Journal of Family Psychology. https://doi.org/10.1037/a0025286

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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.