Sequential Pathways to Suicidal Ideation: Refining the IMV Model in a Trauma-Exposed Iranian Sample

This study examined associations between childhood trauma (CT) and suicidal ideation (SI) through a mediational path including attachment difficulties (ATT) and entrapment (ENT) in a sequential (CT to ATT to ENT to SI) and parallel (CT to ATT to SI; CT to ENT to SI) manner within the integrated motivational–volitional (IMV) framework. Structural equation modeling (SEM) and multi-group SEM (MGSEM) were conducted using the R package lavaan. Data were collected from 694 trauma-exposed adults in Tehran, Iran—a collectivist context with rising suicide rates. The serial model demonstrated significantly better fit than the parallel model (serial: χ2 (37) = 136.72, CFI =.96, RMSEA = .06; parallel: χ2 (38) = 409.70, CFI =.86, RMSEA =.12), accounting for 44.5% of the variance in suicidal ideation and 68.3% of the variance in entrapment. Emotional abuse and neglect emerged as the strongest predictors in the model. Gender and the history of previous suicide attempt were considered as moderators for the model through MGSEM, while gender clarifies how interpersonal vulnerabilities shape motivational processes; attempt history, typically known as a volitional factor, explains the recurrence of SI in trauma-exposed individuals. These findings provide cross-sectional support for the IMV framework by showing the sequential roles of ATT and ENT as mediators of CT’s association with SI, while prioritizing interpersonal factors over defeat due to measurement constraints, and offer insights for targeted interventions addressing these psychological mechanisms in Iran.

Authors

Publication Details

Journal
Archives of Suicide Research
Published
2026-06-16
DOI
https://doi.org/10.1080/13811118.2026.2676693
Primary Topic
Posttraumatic Stress Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sequential Pathways to Suicidal Ideation: Refining the IMV Model in a Trauma-Exposed Iranian Sample

Shahram Mohammadkhani, Mehdi Akbari, Ali Fakhari
Archives of Suicide Research
Posttraumatic Stress Disorder Research
article

Sequential Pathways to Suicidal Ideation: Refining the IMV Model in a Trauma-Exposed Iranian Sample

Shahram Mohammadkhani, Mehdi Akbari, Ali Fakhari
article en

Abstract

This study examined associations between childhood trauma (CT) and suicidal ideation (SI) through a mediational path including attachment difficulties (ATT) and entrapment (ENT) in a sequential (CT to ATT to ENT to SI) and parallel (CT to ATT to SI; CT to ENT to SI) manner within the integrated motivational–volitional (IMV) framework. Structural equation modeling (SEM) and multi-group SEM (MGSEM) were conducted using the R package lavaan. Data were collected from 694 trauma-exposed adults in Tehran, Iran—a collectivist context with rising suicide rates. The serial model demonstrated significantly better fit than the parallel model (serial: χ2 (37) = 136.72, CFI =.96, RMSEA = .06; parallel: χ2 (38) = 409.70, CFI =.86, RMSEA =.12), accounting for 44.5% of the variance in suicidal ideation and 68.3% of the variance in entrapment. Emotional abuse and neglect emerged as the strongest predictors in the model. Gender and the history of previous suicide attempt were considered as moderators for the model through MGSEM, while gender clarifies how interpersonal vulnerabilities shape motivational processes; attempt history, typically known as a volitional factor, explains the recurrence of SI in trauma-exposed individuals. These findings provide cross-sectional support for the IMV framework by showing the sequential roles of ATT and ENT as mediators of CT’s association with SI, while prioritizing interpersonal factors over defeat due to measurement constraints, and offer insights for targeted interventions addressing these psychological mechanisms in Iran.

Archives of Suicide Research
Gender equality
Openalex Percentile: Top 5%
Posttraumatic Stress Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.