Abstract:Studies have reported increased psychiatric morbidity among young detainees, with as many as three-quarters reported to have one or more psychiatric disorders. Despite this, however, there is a dearth of published work among young inmates of prisons, remand homes or borstal institutions in Nigeria. The aim of this study was to assess possible psychiatric morbidity among young inmates of a borstal institution in Nigeria and to determine the factors that may be associated with this morbidity. Fifty-three inmates… Show more
“…GHQ scores not reportedLow*Ajiboye et al 2009 (same sample as Adegunloye) [126]PrevalenceYouth InstitutionNigeriaNCensusNo, Yes53, 17.3, 100%NAJI * Detained in borstal institution in juvenile justice systemGHQ-12 (S), MINI-KID (D)67.9% current psychiatric disorder (MINI-KID). GHQ scores not reportedLow*Issa et al 2009 (same sample as Adegunloye) [127]PrevalenceYouth InstitutionNigeriaNCensusYes, Yes53, 17.3, 100%NAJI * Detained in borstal institution in juvenile justice system: classified “juvenile offenders” or those “in need of correction”GHQ-12 (S)49.1% GHQ-positive (> 3 on GHQ-12), indicating possible psychiatric morbidityMedium*Yusuf et al 2011 (same sample as Adegunloye) [128]PrevalenceYouth InstitutionNigeriaNCensusNo, Yes53, 17.3, 100%NAJI * I Detained in borstal institution in juvenile justice systemGHQ-12 (S), MINI-KID (D)50.9% had MINI-KID lifetime psychiatric diagnoses. Majority (62.3%) had psychiatric problems in the past 12 months.…”
Worldwide, people with mental disorders are detained within the justice system at higher rates than the general population and often suffer human rights abuses. This review sought to understand the state of knowledge on the mental health of people detained in the justice system in Africa, including epidemiology, conditions of detention, and interventions. We included all primary research studies examining mental disorders or mental health policy related to detention within the justice system in Africa. 80 met inclusion criteria. 67% were prevalence studies and meta-analysis of these studies revealed pooled prevalence as follows: substance use 38% (95% CI 26–50%), mood disorders 22% (95% CI 16–28%), and psychotic disorders 33% (95% CI 28–37%). There were only three studies of interventions. Studies examined prisons (46%), forensic hospital settings (37%), youth institutions (13%), or the health system (4%). In 36% of studies, the majority of participants had not been convicted of a crime. Given the high heterogeneity in subpopulations identified in this review, future research should examine context and population-specific interventions for people with mental disorders.
Electronic supplementary material
The online version of this article (10.1186/s13033-019-0273-z) contains supplementary material, which is available to authorized users.
“…GHQ scores not reportedLow*Ajiboye et al 2009 (same sample as Adegunloye) [126]PrevalenceYouth InstitutionNigeriaNCensusNo, Yes53, 17.3, 100%NAJI * Detained in borstal institution in juvenile justice systemGHQ-12 (S), MINI-KID (D)67.9% current psychiatric disorder (MINI-KID). GHQ scores not reportedLow*Issa et al 2009 (same sample as Adegunloye) [127]PrevalenceYouth InstitutionNigeriaNCensusYes, Yes53, 17.3, 100%NAJI * Detained in borstal institution in juvenile justice system: classified “juvenile offenders” or those “in need of correction”GHQ-12 (S)49.1% GHQ-positive (> 3 on GHQ-12), indicating possible psychiatric morbidityMedium*Yusuf et al 2011 (same sample as Adegunloye) [128]PrevalenceYouth InstitutionNigeriaNCensusNo, Yes53, 17.3, 100%NAJI * I Detained in borstal institution in juvenile justice systemGHQ-12 (S), MINI-KID (D)50.9% had MINI-KID lifetime psychiatric diagnoses. Majority (62.3%) had psychiatric problems in the past 12 months.…”
Worldwide, people with mental disorders are detained within the justice system at higher rates than the general population and often suffer human rights abuses. This review sought to understand the state of knowledge on the mental health of people detained in the justice system in Africa, including epidemiology, conditions of detention, and interventions. We included all primary research studies examining mental disorders or mental health policy related to detention within the justice system in Africa. 80 met inclusion criteria. 67% were prevalence studies and meta-analysis of these studies revealed pooled prevalence as follows: substance use 38% (95% CI 26–50%), mood disorders 22% (95% CI 16–28%), and psychotic disorders 33% (95% CI 28–37%). There were only three studies of interventions. Studies examined prisons (46%), forensic hospital settings (37%), youth institutions (13%), or the health system (4%). In 36% of studies, the majority of participants had not been convicted of a crime. Given the high heterogeneity in subpopulations identified in this review, future research should examine context and population-specific interventions for people with mental disorders.
Electronic supplementary material
The online version of this article (10.1186/s13033-019-0273-z) contains supplementary material, which is available to authorized users.
“…Distribution/retrieval was according to their serial/matriculation numbers, to enable appropriate matching at the subsequent surveys especially, the 1st year students who were planned for a longitudinal survey. Using a cut-off point of 3 in line with previous studies among students and occupational groups in this environment [24][25][26][27] , students who scored ≥3 on General Health Questionnaire-12(ghq-12) were regarded as having psychiatric morbidity (i.e., 'ghq-12 cases') [24][25][26][27] , and those who scored <3, were regarded as having no morbidity (i.e., 'ghq-12 'non-cases').…”
Section: Methodsmentioning
confidence: 99%
“…It has previously been used among student populations. [24][25][26][27] Data analysis Data were analysed using SPSS version 15, with level of significance set at 5%. Chi-square, Pearson's correlation, Odd ratio, and Confidence Intervals were calculated to determine the levels of risk.…”
Section: Mini International Neuropsychiatric Interview (Mini)mentioning
confidence: 99%
“…The GHQ scoring method (0-0-1-1) was adopted, and a cut-off point of 3 was used in accordance with previous studies (and is noted as "psychiatric morbidity" in the Results section). 2,3,[24][25][26][27][29][30][31][32][33] Sources of stress questionnaire The 28-item source of stress questionnaire previously used by Sreeramareddy et al 17 was adapted with subtle adjustments to the contents (e.g., substituting 'cafeteria' for 'hostel' in item 1, and 'clinical rotation' for 'practical' in item 19). The questionnaires were pre-tested among 20 first year Laboratory Medical students for face and content validities.…”
Section: General Health Questionnaire-12 (Ghq-12)mentioning
Objectives: This study was prompted by the heightened concerns about the stress inherent in medical education evident from the incessant requests for suspension of studies due to psychological problems. The objectives of the study were to: (i) survey the students for possible psychological problems at admission, and follow them up till exit for possible changes in morbidity, and (ii) ascertain possible risk factors, and coping strategies. Method: This is a preliminary 2-stage cross-sectional report, which is part of a longitudinal survey. It involves first year medical students of the College of Health Sciences of University of Ilorin between March and April, 2011. Questionnaires used included socio demographic, sources of stress, the general health questionnaire-12 (GHQ-12), Maslach's burnout inventory (MBI), and Brief COPE. Data were analysed using SPSS version 15 at 5% significance level. Chi-square, frequency distributions, Pearson's correlation, Odd ratios, and Confidence Intervals were calculated to determine the levels of risk. Results: 79 students returned completed questionnaires. 12 (15.2%) were ghq-12 cases (i.e., scored ≥ 3). Students who had morbidity were 9 times at risk of being stressed consequent upon 'competing with their peers' and 4 times at risk due to 'inadequate learning materials'. Morbidity was significantly more likely to engender use of 'religion', 4 times less likely to engender use of 'positive reframing' with a trend in the use of 'self blame' as coping strategies. Conclusion: Aside from psychosocial/ personal issues in this cohort, academic demand was an additional source of psychological problems thereby causing those who had morbidity to utilize 'religion' and 'positive reframing' to cope. There is therefore an apparent need to incorporate the principle of mental health promotion in medical education.
“…Using a cut-off point of 3 for GHQ 12, students who scored ≥3 was regarded as having possible psychiatric morbidity (i.e., 'GHQ 12 cases'), and those who scored <3, were regarded as having no morbidity (i.e., 'GHQ 12 'non-cases') (Issa et al 2009). During submission, the mobile phone number of the 'cases' and a proportion (10%) of the 'noncases' who are selected by the simple random method was collected and they were interviewed privately (at the second stage) in the office at different times for psychiatric diagnoses using the MINI by the researcher.…”
Introduction Psychiatric morbidity among university students especially health-related disciplines is vital because of its negative impact on their capacity to study. The study assessed the prevalence and factors associated with psychiatric morbidity among students
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