Structural Equation Modeling of a Global Stress Index in Healthy Soldiers

Accumulation of stress is a prognostic trigger for cardiovascular disease. Classical scores for cardiovascular risk estimation typically do not consider psychosocial stress. The aim of this study was to develop a global stress index (GSI) from healthy participants by combining individual measures of acute and chronic stress from childhood to adult life. One-hundred and ninety-two female and male soldiers completed the Perceived Stress Scale (PSS4), Trier Inventory for Chronic Stress (TICS), Hospital Anxiety and Depression Scale (HADS), Childhood Trauma Questionnaire (CTQ), Posttraumatic Diagnostic Scale Checklist (PDS), and the Deployment Risk and Resilience Inventory (DRRI-2). The underlying structure for the GSI was examined through structural equation modeling. The final hierarchical multilevel model revealed fair fit by taking modification indices into account. The highest order had a g-factor called the GSI. On a second level the latent variables stress, HADS and CTQ were directly loading on the GSI. A third level with the six CTQ subscales was implemented. On the lowest hierarchical level all manifest variables and the DRRI-2/PDS sum scores were located. The presented GSI serves as a valuable and individual stress profile for soldiers and could potentially complement classical cardiovascular risk factors.

Automated summary

This study aimed to develop a Global Stress Index (GSI) by combining individual measures of acute and chronic stress from childhood to adult life, providing a valuable and individual stress profile for soldiers that could potentially complement classical cardiovascular risk factors. The hierarchical multilevel model revealed a fair fit, with the highest order being the GSI factor, followed by direct loading of stress, HADS, and CTQ variables on the GSI in the second level, and implementation of six CTQ subscales in the third level.