Dynamic relationships between psychological capital and adaptation in new military recruits: a longitudinal cross-lagged panel network analysis

New recruits face severe psychological problems due to military adaption. This study examined the dynamic interplay between psychological capital (PsyCap) and adaptation among recruits during their initial training period. A total of 988 male recruits were assessed at three time points over an 8-week period, with cross-lagged panel network (CLPN) analysis employed to model predictive pathways and identify key nodes. Optimism had the strongest impact on the early adaptation (T1→T2), acting as a central linking bridge between PsyCap and the adaptation dimensions. Later in the T2→T3 stage, hope emerged as the strongest predictor, especially in relation to the reduction of the physical and psychological symptoms and an improvement in the role cognition. Resilience was a robust predictor of symptom improvement. The results reveal evolving roles of PsyCap components during adaptation, highlighting the importance of targeted interventions for enhancing adaptation among new recruits.

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Publication Details

Journal
Frontiers in Psychiatry
Published
2025-10-23
DOI
https://doi.org/10.3389/fpsyt.2025.1691043
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00

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article

Dynamic relationships between psychological capital and adaptation in new military recruits: a longitudinal cross-lagged panel network analysis

Min Li, Qiao Zhang, Chen Xu
Frontiers in Psychiatry
Mental Health Research Topics
article

Dynamic relationships between psychological capital and adaptation in new military recruits: a longitudinal cross-lagged panel network analysis

Min Li, Qiao Zhang, Chen Xu
article en

Abstract

New recruits face severe psychological problems due to military adaption. This study examined the dynamic interplay between psychological capital (PsyCap) and adaptation among recruits during their initial training period. A total of 988 male recruits were assessed at three time points over an 8-week period, with cross-lagged panel network (CLPN) analysis employed to model predictive pathways and identify key nodes. Optimism had the strongest impact on the early adaptation (T1→T2), acting as a central linking bridge between PsyCap and the adaptation dimensions. Later in the T2→T3 stage, hope emerged as the strongest predictor, especially in relation to the reduction of the physical and psychological symptoms and an improvement in the role cognition. Resilience was a robust predictor of symptom improvement. The results reveal evolving roles of PsyCap components during adaptation, highlighting the importance of targeted interventions for enhancing adaptation among new recruits.

Frontiers in PsychiatryVol. 16
Army Medical University (CN)
Chongqing Municipal Education Commission, National Office for Philosophy and Social Sciences
Openalex Percentile: Top 69%
Mental Health Research Topics
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