Gender differences in post-traumatic symptomatology among refugees: a systematic review and meta-analysis

<b>Background:</b> Armed conflicts and persecution force millions of people to flee their countries, exposing them to severe pre-, peri-, and post-migration stressors that can negatively affect mental health. Post-traumatic stress disorder (PTSD), anxiety, and depression are common among forcibly displaced populations, and evidence suggests that gender may influence these outcomes.<b>Objective:</b> This systematic review and meta-analysis examined gender differences in mental health among refugees displaced by armed conflict, focusing on: (1) the odds and frequency of individuals presenting post-traumatic symptoms, (2) common comorbid conditions such as anxiety and depression, and (3) gender-based differences in exposure to traumatic events.<b>Methods:</b> Following PRISMA guidelines, we searched PubMed, Web of Science, Scopus, and Science Direct (December 2024). Two independent reviewers screened and extracted data according to PICOS criteria, and study quality was evaluated using the Newcastle-Ottawa Scale. Twenty-five studies met inclusion criteria, and 14 provided quantitative data for meta-analysis. Random-effects models were computed in R to estimate gender-based effect sizes for PTSD and related outcomes.<b>Results:</b> Women showed higher odds and frequency of PTSD symptoms, as well as increased levels of anxiety and depression, although differences in PTSD symptom severity were not consistently significant. Gender differences were also observed in exposure to traumatic events: women reported higher rates of sexual violence, whereas men were more likely to have been kidnapped or imprisoned. Longitudinal findings indicated a chronic trajectory of PTSD symptoms for both genders, likely shaped by post-migration stressors.<b>Discussion:</b> These findings highlight the relevance of gender in post-traumatic mental health among refugees. Higher symptom levels in women may reflect disproportionate exposure to gender-based violence and unequal access to support resources. Addressing these disparities is essential for designing gender-sensitive interventions and policies. Further research is needed to clarify long-term trajectories, standardize assessment tools, and identify effective strategies for diverse refugee populations.

Authors

Institutions

Publication Details

Journal
European Journal of Psychotraumatology
Published
2025-12-23
DOI
https://doi.org/10.1080/20008066.2025.2599613
Citations
1
Primary Topic
Migration, Health and Trauma
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gender differences in post-traumatic symptomatology among refugees: a systematic review and meta-analysis

Natalia Arias, Ana Jiménez-García, Sofía Aragonés
1 citations
European Journal of Psychotraumatology
Migration, Health and Trauma
2.31
article

Gender differences in post-traumatic symptomatology among refugees: a systematic review and meta-analysis

Natalia Arias, Ana Jiménez-García, Sofía Aragonés
article en
1 citations

Abstract

<b>Background:</b> Armed conflicts and persecution force millions of people to flee their countries, exposing them to severe pre-, peri-, and post-migration stressors that can negatively affect mental health. Post-traumatic stress disorder (PTSD), anxiety, and depression are common among forcibly displaced populations, and evidence suggests that gender may influence these outcomes.<b>Objective:</b> This systematic review and meta-analysis examined gender differences in mental health among refugees displaced by armed conflict, focusing on: (1) the odds and frequency of individuals presenting post-traumatic symptoms, (2) common comorbid conditions such as anxiety and depression, and (3) gender-based differences in exposure to traumatic events.<b>Methods:</b> Following PRISMA guidelines, we searched PubMed, Web of Science, Scopus, and Science Direct (December 2024). Two independent reviewers screened and extracted data according to PICOS criteria, and study quality was evaluated using the Newcastle-Ottawa Scale. Twenty-five studies met inclusion criteria, and 14 provided quantitative data for meta-analysis. Random-effects models were computed in R to estimate gender-based effect sizes for PTSD and related outcomes.<b>Results:</b> Women showed higher odds and frequency of PTSD symptoms, as well as increased levels of anxiety and depression, although differences in PTSD symptom severity were not consistently significant. Gender differences were also observed in exposure to traumatic events: women reported higher rates of sexual violence, whereas men were more likely to have been kidnapped or imprisoned. Longitudinal findings indicated a chronic trajectory of PTSD symptoms for both genders, likely shaped by post-migration stressors.<b>Discussion:</b> These findings highlight the relevance of gender in post-traumatic mental health among refugees. Higher symptom levels in women may reflect disproportionate exposure to gender-based violence and unequal access to support resources. Addressing these disparities is essential for designing gender-sensitive interventions and policies. Further research is needed to clarify long-term trajectories, standardize assessment tools, and identify effective strategies for diverse refugee populations.

European Journal of PsychotraumatologyVol. 16(1)
Consejo Superior de Investigaciones Científicas (ES), Universidad Nebrija (ES), Instituto de Investigación Sanitaria del Principado de Asturias (ES)
Gender equality
Openalex Percentile: Top 9%
Migration, Health and Trauma
2.31
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.