Assessing cognition in people with severe mental disorders in low- and middle-income countries: a systematic review of assessment measures.

BACKGROUND: Cognitive difficulties are common in people with severe mental disorders (SMDs) and various measures of cognition are of proven validity. However, there is a lack of systematic evidence regarding the psychometric properties of these measures in low- and middle-income countries (LMICs). OBJECTIVE: To systematically review the psychometric properties of cognitive measures validated in people with SMDs in LMICs. METHODS: We conducted a systematic review of the literature by searching from four electronic databases. Two authors independently screened studies for their eligibility. Measurement properties of measures in all included studies were extracted. All eligible measures were assessed against criteria set for clinical and research recommendations. Results are summarized narratively and measures were grouped by measurement type and population. RESULTS: We identified 23 unique measures from 28 studies. None of these was from low-income settings. Seventeen of the measures were performance-based. The majority (n = 16/23) of the measures were validated in people with schizophrenia. The most commonly reported measurement properties were: known group, convergent, and divergent validity (n = 25/28). For most psychometric property, studies of methodological qualities were found to be doubtful. Among measures evaluated in people with schizophrenia, Brief Assessment of Cognition in Schizophrenia, Cognitive Assessment Interview, MATRICS Consensus Cognitive Battery, and CogState Schizophrenia Battery were with the highest scores for clinical and research recommendation. CONCLUSIONS: Studies included in our review provide only limited quality evidence and future studies should consider adapting and validating measures using stronger designs and methods. Nonetheless, validated assessments of cognition could help in the management and allocating therapy in people with SMDs in LMICs.

Alcohol use disorder among prisoners in Debre Berhan prison, Ethiopia: a cross-sectional study.

BACKGROUND: Several studies reported that history of alcohol use among prisoners is higher than the prevalence in the general population. Criminality is found to be associated with alcohol use disorder (AUD) in previous studies. In Ethiopia, there is limited information on the prevalence and associated factors of AUD among prisoners. Therefore, this study aimed to assess the prevalence and associated factors of AUD among prisoners of Debre Berhan Prison. METHODS: A cross-sectional survey was conducted to assess history of AUD among prisoners at Debre Berhan Prison, before imprisonment. We selected 347 prisoners with a systematic sampling technique and interviewed using Alcohol Use Disorder Identification Test (AUDIT) to screen for AUD in May 2017. Data entry was done using Epi-Data version 3.1 software, and bivariate and multivariate analyses were done using Stata version 13 software. Crude and adjusted odds ratios, with 95% confidence intervals and p-values are reported. RESULTS: About six out of ten prisoners (59.1%) had AUD before imprisonment. Factors associated with increased odds of AUD were perception that the current offence is related to using substances (AOR = 4.2; 95% CI = 2.3, 7.8), and family history of substance use (AOR = 8.7; 95% CI = 1.7, 44.9). Being married had lower odds of AUD compared to the unmarried (AOR = 0.5; 95% CI = 0.2, 0.9). CONCLUSION: We found that the prevalence of AUD 1 year before imprisonment in this population is high. AUD is found to be associated with a family history of substance use and perception that the current offence is related to using a substance. We recommend community-based study with different kind of study designs to see the relationship between AUD and crime for planning interventions.

Prevalence and associated factors of burnout among Debre Berhan University medical students: a cross-sectional study.

BACKGROUND: Burnout, a measure of professional distress, is more common among medical professionals. About half of medical students have this problem. However, little is known about the burnout status of medical students in Ethiopia. Therefore, the aim of this study was to assess the prevalence and associated factors of burnout among medical students of Debre Berhan University (DBU). METHODS: A cross-sectional study was conducted on randomly selected 151 medical students of DBU. Burnout was assessed using the Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Participants were reported as having burnout if they scored ≥27 on Emotional Exhaustion (EE), ≥13 on Depersonalization (DP) sub-scales, and ≤ 31 on Personal Accomplishment (PA) sub-scale of the MBI-HSS. EpiData version 3.1 was used for data entry while SPSS version 20 and STATA version 13 for windows were used for data analysis. Both univariable and multivariable binary logistic regression analyses were conducted. The degree of association between variables was assessed using odds ratio (OR) with 95% confidence interval (CI) at two-tailed p-value of < 0.05. RESULT: Of 144 medical students took part, 34.0% had symptoms of burnout. Regarding domains of burnout, 61.8% scored high on EE, 47.9% scored high on DP and 59.7% scored low on PA. Dissatisfaction with practice lecturer (AOR = 3.8, 95% CI (1.3, 11.6)), moderate social support (AOR = 0.2, 95% CI (0.1, 0.8)), and satisfaction with their education (AOR = 0.1 95% CI (0.0, 0.7)) were associated with burnout. CONCLUSION: More than one-third of medical students at DBU had burnout. Individual and organizational level interventions targeting students who had poor social support, dissatisfied by their lecturer at the hospitals and their education are recommended.

Insomnia and Its Temporal Association with Academic Performance among University Students: A Cross-Sectional Study.

INTRODUCTION: Studies show that 9.4% to 38.2% of university students are suffering from insomnia. However, research data in developing countries is limited. Thus, the aim of the study was to assess insomnia and its temporal association with academic performance. METHODS AND MATERIALS: Institution based cross-sectional study was conducted with 388 students at Debre Berhan University. Data were collected at the nine colleges. Logistic and linear regression analysis was performed for modeling insomnia and academic performance with a p value threshold of 0.05, respectively. Data were entered using EPI-data version 3.1 and analyzed using SPSS version 20. RESULTS: The prevalence of insomnia was 61.6%. Field of study (p value = 0.01), worshiping frequency (p value = 0.048), marital status (p value = 0.03), and common mental disorder (p value < 0.001) were identified associated factors of insomnia. There was no significant association between insomnia and academic performance (p value = 0.53, ß = -0.04). Insomnia explained 1.2% (r2 = 0.012) of the difference in academic performance between students. CONCLUSIONS: Nearly 3 out of 5 students had insomnia. We recommended that universities would endorse sleep quality and mental health illness screening programs for students.

Mental and Reproductive Health Correlates of Academic Performance among Debre Berhan University Female Students, Ethiopia: The Case of Premenstrual Dysphoric Disorder.

BACKGROUND: Globally 3 to 8% of reproductive age women are suffering from premenstrual dysphoric disorder (PMDD). Several mental and reproductive health-related factors cause low academic achievement during university education. However, limited data exist in Ethiopia. The aim of the study was to investigate mental and reproductive health correlates of academic performance. METHODS: Institution based cross-sectional study was conducted with 667 Debre Berhan University female students from April to June 2015. Academic performance was the outcome variable. Mental and reproductive health characteristics were explanatory variables. Two-way analysis of variance (ANOVA) test of association was applied to examine group difference in academic performance. RESULT: Among 529 students who participated, 49.3% reported mild premenstrual syndrome (PMS), 36.9% reported moderate/severe PMS, and 13.8% fulfilled PMDD diagnostic criteria. The ANOVA test of association revealed that there was no significant difference in academic performance between students with different level of PMS experience (F-statistic = 0.08, p value = 0.93). Nevertheless, there was a significant difference in academic performance between students with different length of menses (F-statistic = 5.15, p value = 0.006). CONCLUSION: There was no significant association between PMS experience and academic performance, but on the other hand, the length of menses significantly associated with academic performance.

Common mental disorder and its association with academic performance among Debre Berhan University students, Ethiopia.

BACKGROUND: Common mental disorder (CMD) is prevalent in industrialized and non-industrialized countries. The prevalence of CMD among university students was 28.8-44.7% and attributed to several risk factors, such as schooling. The aim of this study was to assess the prevalence and risk factors of CMD. In addition, the association between CMD and academic performance was tested. METHODS: Institution based cross-sectional study was conducted with 422 students at Debre Berhan university from March to April 2015. CMD was the primary outcome variable whereas academic performance was the secondary outcome variable. Kessler psychological distress (K10) scale was used to assess CMD. Bivariate and multiple logistic regression analysis were performed for modeling the primary outcome variable; independent samples T test and linear regression analysis were carried out for modeling the secondary outcome variable. The strength of association was interpreted using odds ratio and regression coefficient (ß) and decision on statistical significance was made at a p value of 0.05. Data were entered using EPI-data version 3.1 software and analyzed using the Statistical Package for the Social Sciences (SPSS) version 20.01 software. RESULTS: The prevalence of CMD was 63.1%. Field of study (p = 0.008, OR = 0.2, 95% CI 0.04-0.61), worshiping (p = 0.04, OR = 1.8, 95% CI 1.02-3.35), insomnia (p < 0.001, OR = 3.8, 95% CI 2.21-6.57), alcohol drinking (p = 0.006, OR = 2.7, 95% CI 1.33-5.66), and headache (p = 0.02, OR = 2.1, 95% CI 1.10-3.86) were identified risk factors for CMD. The mean cumulative grade point average of students with CMD was lower by 0.02 compared to those without CMD, but not statistically significant (p = 0.70, ß = -0.02, 95% CI -0.15 to 0.10). CMD explained only 0.8% (r2 = 0.008) of the difference in academic performance between students. CONCLUSIONS: At least three out of five students fulfilled CMD diagnostic criteria. The statistically significant risk factors were field of study, worshiping, insomnia, alcohol drinking, and headache. Moreover, there was no statistically significant association between CMD and academic performance. Undertaking integrated evidence-based intervention focusing on students with poor sleep quality, poor physical health, and who drink alcohol is essential if the present finding confirmed by a longitudinal study.

Sociodemographic, clinical, and psychosocial factors associated with depression among type 2 diabetic outpatients in Black Lion General Specialized Hospital, Addis Ababa, Ethiopia: a cross-sectional study.

BACKGROUND: Depression is a common comorbidity among patients with type 2 diabetes. There are several reports supporting a bidirectional association between depression and type 2 diabetes. However, there is limited data from non-western countries. Therefore, the aim of this study was to assess the sociodemographic, clinical, and psychosocial factors associated with co-morbid depression among type 2 diabetic outpatients presenting to Black Lion General Specialized Hospital, Addis Ababa, Ethiopia. METHODS: This institution based cross-sectional study design was conducted on a random sample of 276 type 2 diabetic outpatients. Type 2 diabetes patients were evaluated for depression by administering a validated nine-item Patient Health Questionnaire (PHQ-9). Risk factors for depression among type 2 diabetes patients were identified using multiple logistic regression analysis. RESULT: In total, 264 study participants were interviewed with a response rate of 95.6%. The prevalence of depression was 44.7%. In the multivariate analysis, the statistically significant risk factors for depression were monthly family income ≤ 650 (p-value = 0.056; OR = 2.0; 95% CI = 1.01, 4.2), presence of ≥3 diabetic complications (p-value = 0.03; OR = 3.3; 95% CI = 1.1, 10.0), diabetic nephropathy (p-value = 0.01; OR = 2.9; 95% CI = 1.2, 6.7), negative life events (p-value = 0.01; OR = 2.4; 95% CI = 1.2, 4.5), and poor social support (p-value = 0.001; OR = 2.7; 95% CI = 1.5, 5.0). CONCLUSION: This study demonstrated that depression is a common co-morbid health problem with a prevalence rate of 44.7%. The presence of diabetic complications, low monthly family income, diabetic nephropathy, negative life event, and poor social support were the statistically significant risk factors associated with depression. We presume that the burden of mental health especially depression is high in the population with type 2 diabetes mellitus co-morbidity. Therefore, specific attention is needed to diagnose early and treat promptly.