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1.
Afr Health Sci ; 23(3): 705-713, 2023 Sep.
Article in English | MEDLINE | ID: mdl-38357123

ABSTRACT

Background: Experiences of displacement have been associated with the prevalence of mental health disorders owing to certain factors. Objectives: This study aimed to identify the correlates of Somatic Symptom Disorder (SSD) among internally displaced adults in Ogoja displacement settlements, Nigeria. Methods: This was a cross-sectional study of 335 respondents. SSD was assessed using the SOM-SCL section of the Common Mental Disorder Questionnaire while a semi-structured questionnaire was used to collect data on sociodemographic and displacement-related factors. Data were analysed using descriptive statistics, Chi-square, and multivariable logistic regression. Result: The prevalence of somatoform disorder was 59.1%. Factors found to be significant in each bivariate Chi-square analysis were modelled for the mental disorder. The multivariate analysis revealed that being married (AOR=2.80; p=0.020) prolonged displacement (AOR=3.29; p=0.003), discrimination (AOR=2.25; p=0.010), disease outbreak (AOR=1.92; p=0.030), loss of loved ones (AOR=1.34; p=0.028), overcrowded households (AOR=2.30; p=0.008), and fear of reprisals (AOR=2.05; p=0.026) were significantly associated with somatoform disorder. Conclusion: The findings suggest that the high prevalence of the studied outcome is related to several stressors and events among Internally displaced persons. Evidence-based mental health support efforts by different bodies in creating and routinely arranging mental health clinical interventions for this population is recommended.


Subject(s)
Medically Unexplained Symptoms , Mental Disorders , Refugees , Adult , Humans , Cross-Sectional Studies , Nigeria/epidemiology , Mental Disorders/epidemiology , Prevalence
2.
Gen Psychiatr ; 35(2): e100749, 2022.
Article in English | MEDLINE | ID: mdl-35572773

ABSTRACT

Background: Displaced persons in Nigeria experience various difficulties at different stages of their displacement, including mental and physical problems. These experiences have been associated with different types of mental disorders. Aims: This study sought to identify sociodemographic correlates and other factors associated with depression and anxiety among internally displaced adults in Ogoja, Cross River State, Nigeria. Methods: A cross-sectional study was conducted using non-probability and probability sampling techniques. Internally displaced adults (n=335) were identified in Ogoja locations with a high prevalence of internally displaced persons (IDPs). Their mental health symptoms were assessed using the Common Mental Disorder Questionnaire, and a semistructured questionnaire was employed to collect data on sociodemographic and displacement-related characteristics. Data were analysed using descriptive statistics, χ2 analysis and multivariable logistic regression. Results: The prevalence of subtypes was 66.0% for anxiety disorder and 73.4% for depression. Factors found to be significant in each bivariate χ2 analysis were modelled for each outcome. The multivariate analysis revealed that prolonged displacement (adjusted odds ratio (AOR)=3.64; p=0.048), reduced family size (AOR=0.28; p<0.001) and fears of reprisal attacks (AOR=4.19; p=0.004) were significantly associated with anxiety disorder. Male gender (AOR=2.09; p=0.015), prolonged displacement (AOR=3.55; p=0.020), reduced family size (AOR=0.55; p=0.049), financial strain (AOR=5.43; p=0.023) and loss of loved ones (AOR=1.92; p=0.040) were significantly associated with depression. Conclusions: The implications of the findings underline the complex aetiology of these two mental problems and the need to cater to the well-being of those at risk who have been exposed to trauma-related events. Accessible and affordable mental health services should be provided for these persons while also considering a social welfare scheme that covers their health expenses. Moreover, socioeconomic conditions targeting IDPs in the Ogoja Local Government Area should be improved by conducting large-scale mapping to identify this population.

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