Health-Related Quality of Life and Psychiatric Morbidity Among Internally Displaced Persons in Katsina State, Northwestern Nigeria

Background: Violence in Northwest Nigeria has forced millions to flee their homes, with many getting killed or wounded, leading to a surge in mental health problems like depression, anxiety, and posttraumatic stress disorder (PTSD). By March 2023, Katsina State, one of the worst-hit areas, had a displaced population of about 1.5 million. Studies have linked displacement to increased mental health problems, emphasising the need for support in affected communities. Objective: To determine the prevalence, correlates, and predictors of psychiatric morbidity and HRQoL among IDPs in Katsina State, Northwestern Nigeria. Methods: A cross-sectional, two-stage study was conducted among 450 randomly selected adult IDPs between March and May 2023. Stage one involved sociodemographic profiling, GHQ-12 screening, and WHOQOL-BREF administration. All GHQ-positive participants and 10% of GHQ-negatives underwent stage-two diagnostic interviews (MINI 7.0.2) for depression, generalised anxiety disorder (GAD), and PTSD—the Horvitz–Thompson estimator adjusted prevalence for verification bias. Associations were explored using chi-square and t-tests; independent predictors were identified via multivariable logistic regression. Results: Mean age was 38.8 ± 13.9 years; 57.8% were female. GHQ-12 identified 80.0% probable psychiatric cases, with MINI-confirmed diagnoses in 77.8% of screen-positives. Weighted psychiatric morbidity prevalence was 65.7%. The individual psychiatric morbidity prevalences were: depression (4.2%), GAD with comorbid depression (41.7%), and PTSD (31.9%). Over 85% reported poor HRQoL across all domains. Independent predictors of psychiatric morbidity included younger age (<46 years: AOR = 5.76; 95% CI: 1.55–21.34; p = 0.009), low income (<₦10,000: AOR = 4.28; 95% CI: 1.41–13.02; p = 0.010), sustaining injury (AOR = 2.86; 95% CI: 1.11–7.40; p = 0.030), witnessing killing (AOR = 8.87; 95% CI: 3.41–23.06; p < 0.001), and loss of a family member (AOR = 32.30; 95% CI: 8.85–117.95; p < 0.001). Conclusion: Psychiatric morbidity and poor HRQoL are highly prevalent among IDPs in Katsina. Trauma-related events are strong predictors, underscoring the urgent need for targeted, trauma-informed mental health interventions integrated into humanitarian responses.

Authors

Publication Details

Journal
Nigerian Journal of Psychiatry
Published
2025-01-01
DOI
https://doi.org/10.5455/njp.234041
Primary Topic
Migration, Health and Trauma
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Health-Related Quality of Life and Psychiatric Morbidity Among Internally Displaced Persons in Katsina State, Northwestern Nigeria

Owoidoho Udofia, Jidda Mohammed Said, Adeoye Aderemi Sunday, Tajudeen Abiola et al.
Nigerian Journal of Psychiatry
Migration, Health and Trauma
article

Health-Related Quality of Life and Psychiatric Morbidity Among Internally Displaced Persons in Katsina State, Northwestern Nigeria

Owoidoho Udofia, Jidda Mohammed Said, Adeoye Aderemi Sunday, Tajudeen Abiola, Hamisu M. Salihu, Aliyu Muhammad, Muhammad Ibrahim, Sarforaz Bin Bashar, Sa’adatu Abdulkadir, Abdullahi Yakubu, Bashir Adam Yakasai, Audu Ishaq Aveka
article en

Abstract

Background: Violence in Northwest Nigeria has forced millions to flee their homes, with many getting killed or wounded, leading to a surge in mental health problems like depression, anxiety, and posttraumatic stress disorder (PTSD). By March 2023, Katsina State, one of the worst-hit areas, had a displaced population of about 1.5 million. Studies have linked displacement to increased mental health problems, emphasising the need for support in affected communities. Objective: To determine the prevalence, correlates, and predictors of psychiatric morbidity and HRQoL among IDPs in Katsina State, Northwestern Nigeria. Methods: A cross-sectional, two-stage study was conducted among 450 randomly selected adult IDPs between March and May 2023. Stage one involved sociodemographic profiling, GHQ-12 screening, and WHOQOL-BREF administration. All GHQ-positive participants and 10% of GHQ-negatives underwent stage-two diagnostic interviews (MINI 7.0.2) for depression, generalised anxiety disorder (GAD), and PTSD—the Horvitz–Thompson estimator adjusted prevalence for verification bias. Associations were explored using chi-square and t-tests; independent predictors were identified via multivariable logistic regression. Results: Mean age was 38.8 ± 13.9 years; 57.8% were female. GHQ-12 identified 80.0% probable psychiatric cases, with MINI-confirmed diagnoses in 77.8% of screen-positives. Weighted psychiatric morbidity prevalence was 65.7%. The individual psychiatric morbidity prevalences were: depression (4.2%), GAD with comorbid depression (41.7%), and PTSD (31.9%). Over 85% reported poor HRQoL across all domains. Independent predictors of psychiatric morbidity included younger age (<46 years: AOR = 5.76; 95% CI: 1.55–21.34; p = 0.009), low income (<₦10,000: AOR = 4.28; 95% CI: 1.41–13.02; p = 0.010), sustaining injury (AOR = 2.86; 95% CI: 1.11–7.40; p = 0.030), witnessing killing (AOR = 8.87; 95% CI: 3.41–23.06; p < 0.001), and loss of a family member (AOR = 32.30; 95% CI: 8.85–117.95; p < 0.001). Conclusion: Psychiatric morbidity and poor HRQoL are highly prevalent among IDPs in Katsina. Trauma-related events are strong predictors, underscoring the urgent need for targeted, trauma-informed mental health interventions integrated into humanitarian responses.

Nigerian Journal of PsychiatryVol. 23(1)
Openalex Percentile: Top 65%
Migration, Health and Trauma
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.