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Publishing Language: Chinese

Relationship between family resilience and mental health among military personnel: a cross lagged analysis

Kaiyuan JING1, Yanzhen YANG2, Shujuan SUN3, Yawen TAN1, Bingqing XUE1, Yijun ZHU1, Mengxue ZHAO1( )
Department of Military Psychology, Faculty of Medical Psychology, Army Medical University (Third Military Medical University), Chongqing, 400038
Troop 73106, Huai'an, Jiangsu Province, 223000
Border Health Service Training Brigade, Army Medical University (Third Military Medical University), Hutubi, Xinjiang Uygur Autonomous Region, 831200, China
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Abstract

Objective

To explore the causal relationship between family resilience and mental health in military personnel population.

Methods

A total of 204 military personnel were recruited from an army unit stationed in Western China with cluster convenience sampling. Family Resilience Scale (FRS) and Symptom Checklist 90 (SCL-90) were used to survey them twice, in an interval of 4 months. Amos 26.0 was applied to construct a cross-lag model and analyze the data.

Results

After controlling mental symptoms from the first survey, family resilience in the first measure significantly predicted mental symptoms in the second measure (β=-0.14, P < 0.05). After controlling for family resilience from the first survey, mental symptoms in the first measure significantly predicted family resilience in the second measure (β=-0.13, P < 0.05).

Conclusion

The relationship between family resilience and mental health is mutually causal in military personnel, and one predicts the other one. Our findings highlight the key dimensions of the relationship between the two.

Keywords

military personnelfamily resiliencemental healthcross lagged
CLC number: R395.1;R395.6;R821.2 Document code: A

References

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Journal of Army Medical University
Volume 46 Issue 3,
February 2024
Pages 209-214
DOI: 10.16016/j.2097-0927.202309109

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Cite this article:
JING K, YANG Y, SUN S, et al. Relationship between family resilience and mental health among military personnel: a cross lagged analysis. Journal of Army Medical University, 2024, 46(3): 209-214. https://doi.org/10.16016/j.2097-0927.202309109

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Received: 19 September 2023
Revised: 18 December 2023
Published: 15 February 2024
© 2024 Journal of Army Medical University