To identify sociodemographic and illness-related factors associated with quality of life among people with Schizophrenia.
A hospital-based cross-sectional study design was employed among 351 people ...with schizophrenia and attending the followup service at Jimma University Medical Center, psychiatric clinic during the study period. Participants were recruited using a systematic random sampling method and a sample fraction of two was used after the first person was identified by a lottery method. Data entry was done using EpiData version 3.1 and then exported to Statistical Package for Social Sciences version 25 for analysis. Multiple regression analysis was used to determine the statistically significant association between quality of life and independent variables.
Among the four domains of quality of life, respondents scored the lowest mean in the social relationships domain (10.14 ± 3.12). Final adjusted multiple regression model revealed, being divorced was negatively associated with the physical domain (β = -0.72, p = 0.02), having no formal education was negatively associated with physical health domain (β = -0.69, p = 0.001) and age was positively associated with the psychological domain (β = 0.371, p = 0.071). Being rural resident was negatively associated with physical domain (β = -0.48, p = 0.01), with environmental domain (β = -0.64, p = 0.03), with social relationships domain (β = -0.45, p = 0.04), and with overall quality of life (β = -1.93, p = 0.006). Positive symptoms (β = -0.22, p = 0.001), negative symptoms (β = -0.36, p = 0.001), and general psychopathology (β = -0.098, p = 0.006) were inversely associated with overall quality of life.
In this study, the social relationship domain of quality of life among people with schizophrenia has the lowest mean score. Some socio-demographic variables and psychiatric symptoms were found to be key significant associated factors of quality of life. Priority interventions to improve the social deficits and addressing psychiatric symptoms of people with schizophrenia is essential to improve their quality of life.
Schizophrenia was ranked as one of the top ten illnesses contributing to the global burden of disease. But little is known about the quality of life among people with schizophrenia, in particular in ...low-income countries. This study was aimed to examine the association of quality of life with current substance use, medication non-adherence and clinical factors of people with schizophrenia at Jimma University Medical Center, psychiatry clinic, Southwest Ethiopia.
Institution based cross-sectional study design was employed. Study participants were recruited using a systematic random sampling method and a sample fraction of two was used after the first person was identified by the lottery method. we used the World Health Organization Quality of Life Scale-Brief version (WHOQoL-BREF) and 4-item Morisky Medication Adherence Scale (MMAS-4) to assess the quality of life and medication non-adherence respectively. Data about current substance use was assessed by yes/no questions. Descriptive statistics, such as frequency, mean and standard deviations were computed to describe the characteristics of the study population. Data entry was done using EpiData version 3.1 then exported to SPSS statistics version 25 for analysis and analyzed using multiple linear regression. The assumption for linear regression analysis including the presence of a linear relationship between the outcome and predictor variable, the test of normality, collinearity statistics, auto-correlation and homoscedasticity were checked. Un-standardized Beta (β) coefficients with 95% confidence interval (CI) and P-value < 0.05 were computed to assess the level of association and statistical significance in the final multiple linear regression analysis.
In this study 31.65% of participants were medication non-adherent and total mean scores of quality of life showed a lower level of satisfaction in social relationship domain (10.14 ± 3.12). Our study showed 152(43.3%), 248(70.7%) and 97(27.6%) of respondents had used tobacco, Khat and alcohol atleast once during the past 3 months respectively. Final adjusted multiple regression model showed medication non-adherence has significant negative association with physical domain (beta = - 4.42, p < 0.001), psychological (beta = - 4.49, p < 0.001), social relationships (beta = - 2.29, p < 0.001) and environmental domains (beta = - 4.95, p < 0.001). Treatment duration has significant negative association with psychological domain (beta = - 0.17, p < 0.04), social relationship (beta = - 0.14, p < 0.005), environmental domain (beta = - 0.24, p < 0.02) and overall quality of life (beta = - 0.67, p < 0.02). Having comorbid physical illness has significant negative association with physical domain (beta = - 2.74, p < 0.001), psychological (beta = - 2.13, p < 0.004), social relationships (beta = - 1.25, p < 0.007), environmental domain (beta = - 3.39, p < 0.001) and overall quality of life (beta = - 9.9, p < 0.001). Current tobacco use has significant negative association with physical domain (beta = - 1.16, p < 0.004), psychological (beta = - 1.23, p < 0.001), social relationships (beta = - 0.88, p < 0.001), environmental domains (beta = - 1.98, p < 0.001) and overall quality of life (beta = - 5.73, p < 0.001). Also, current chewing khat has significant negative association with physical domain (beta = - 1.15, p < 0.003), psychological (beta = - 1.58, p < 0.001), environmental domains (beta = - 2.63, p < 0.001) and overall quality of life (beta = - 6.22, p < 0.001).
The social relationship domain of quality of life has the lowest mean score. Medication non-adherence, treatment duration, having a comorbid physical illness, current tobacco use and current chewing khat were found to have a statistically significant association with the overall quality of life. Therefore, treatments aimed to improve social deficits, medication non-adherence, comorbid physical illness and decrease substance abuse is imperative.
Background:
Coronaviruses (CoVs) are emerging respiratory viruses and cause illnesses ranging from the common cold to severe acute respiratory syndrome (SARS). Informal primary caregivers of ...individuals with mental illness were special populations suffering from both the burden of caring for mentally ill individuals and the danger of the Coronavirus disease 2019 (Covid-19) epidemic.
Objective:
The objective of the study was to assess the prevalence and associated factors of common mental disorders (CMDs) among the informal primary caregivers of adults with mental illness during the Covid-19 epidemic.
Methods:
A hospital-based cross-sectional study design was conducted from July 1 to 30, 2020. A systematic random sampling technique was used to get samples of informal primary caregivers. Data were analyzed by bivariable and multivariable logistic regression analysis. In the final model, variables having a
p
-value < 0.05 were declared as associated with CMDs.
Result:
Out of a total of 218 informal primary caregivers, 215 responded to this study. The prevalence of CMDs was 40.5% 95% confidence interval (CI) = 36.66, 44.3% among informal primary caregivers. Being female informal primary caregivers adjusted odds ratios (AOR) 1.98, 95% CI = 1.05, 3.76, being student informal primary caregivers (AOR 5.8, 95% CI: 1.2, 28.4), caring patients with psychosis (AOR 3.33, 95% CI: 1.12, 9.92) and caring patients with bipolar disorder (AOR 3.12, 95% CI: 1.35, 7.23) were significantly associated with CMDs.
Conclusion:
Our study cannot show the causal relationship due to its cross-sectional study design nature. However, this study showed relatively higher prevalence of CMDs among informal primary caregivers of adults with any mental illness during the Covid-19 epidemics relative to pre-Covid-19 times. Being a female caregiver, being a student caregiver, and caring for adults with psychosis and bipolar disorder were factors associated with CMDs. Attention should be given, and essential psychosocial care should be provided, to maintain the mental health of informal primary caregivers of individuals with mental illness especially during the Covid-19 pandemic.
To assess the magnitude and factors associated with depression and anxiety among people with epilepsy and attending out-patient treatment at central Gondar zone primary public hospitals, northwest, ...Ethiopia.
An institutional based cross-sectional study was conducted from May-June, 2020 at central Gondar zone primary public hospitals. A total of 589 participants were chosen by systematic sampling technique. Data was collected by utilizing Amharic version interviewer-administered structured and semi-structured questioners. Depression and anxiety were assessed by using hospital anxiety and depression scale. Bivariate and multivariate logistic regression analysis was done to recognize variables related to both depression and anxiety. Association was described by using "adjusted odds ratio" (AOR) along with 95% full Confidence interval (CI). Finally, P-values < 0.05 in adjusted analysis were taken as a cut off for significant association.
Out of 556 participants included in the study, 30.9%, 33.1% had depression and anxiety respectively. Being divorced/widowed (AOR = 2.43, 95% CI, 1.18-4.99), using two and above number of antiepileptic medications (AOR = 1.77,95% CI,1.02-3.09), very frequent seizure frequency (AOR = 2.68, 95% CI,1.30-5.51), current substance use (AOR = 1.82, 95% CI, 1.03-3.22), perceived stigma (AOR = 5.67,95% CI,3.14-8.18), and hazardous alcohol use (AOR = 2.84, 95% CI,1.32-6.09) were statistically associated with depression. While, being a single (AOR = 1.65, 95% CI, 1.04-2.63), using two and above number of antiepileptic medications (AOR = 2.27, 95% CI, 1.42-3.62), duration of illness ≥16 years (AOR = 2.82, 95% CI, 1.26-6.31), and perceived stigma (AOR = 2.49, 95% CI, 1.63-3.82) were statistically associated with anxiety at a p-value < 0.05.
This study showed that the magnitude of depression and anxiety were relatively high among people with epilepsy. Using two and above number of antiepileptic medications and perceived stigma were statistically associated with both depression and anxiety. Screening, early identification and providing appropriate intervention of depression and anxiety among people with epilepsy should be great concern for the health care providers.
Recently, khat chewing has become a common practice among high school, college, and university students. Regular khat chewing is thought to be a predisposing factor for different physical and mental ...health problems. It can lead to absenteeism from work and classes. In Ethiopia, to our knowledge no published study has investigated khat withdrawal symptoms. Therefore, this study was conducted to determine the prevalence, withdrawal symptoms, and associated factors of khat chewing among regular undergraduate students on the main campus of Jimma University in Ethiopia.
The institution-based, cross-sectional study was conducted in January 2016. Data were collected from 651 main campus regular undergraduate students with a structured, self-administered questionnaire, entered into Epidata 3.1 and exported to SPSS version 20 for Windows. Bivariate and multivariate logistic regressions were used to explore associations and identify variables independently associated with khat chewing.
The study found that the lifetime and current prevalence of khat chewing among students were 26.3% (95% CI: 24.3, 28.3) and 23.9% (95% CI: 21.94, 25.86), respectively. About 25.7% of students started chewing after joining university, and 60.5% of these students started during their first year. The main reason given for starting khat chewing was for study purposes (54.6%), followed by socialization purposes (42.3%). Among current khat chewers, 72.9% reported that they had chewed khat for 1 year or more and 68.2% reported that they had experienced various withdrawal symptoms. The most frequently reported withdrawal symptoms were feeling depressed, craving, and feeling fatigued. Being male, attending a place of worship daily/2-3 times per week, cannabis use, smoking cigarettes, and having family members currently chewing khat were independently associated with khat chewing.
This study found that large numbers of university students were currently chewing khat. In this study withdrawal symptoms and factors that significantly affect khat chewing were identified. Besides it gave new ideas regarding khat withdrawal symptoms in Ethiopia. It serves as a critical role of providing information to form rational foundation for public health policy, prevention and planning to bring change in contributing factors for Khat chewing. The finding will be serving as base line information for further study.
Premenstrual dysphoric disorder is a somatopsychic condition that develops about a week before the start of menstruation and is brought on by fluctuating sex steroid levels that follow an ovulatory ...menstrual cycle. Therefore, this study aimed to assess the magnitude of premenstrual dysphoric disorder and associated factors among Haramaya University graduating class female students, in eastern Ethiopia.
An institutional-based cross-sectional study was conducted from 1 to 30 November 2022 among Haramaya University graduating class female students using a simple random sampling technique. The data were cleaned, coded, and entered into the Epi-data 3.01 before being exported and analyzed with Statistical Package of Social Science 20 versions. The premenstrual dysphoric disorder was assessed by the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision. To identify associated factors a bivariable logistic regression analysis was conducted to determine the association between each independent variable and the outcome variable. The multivariable logistic regression model includes all variables with a
-value of less than 0.25 in the bivariate logistic regression analysis. The adjusted odds ratio with a 95% confidence interval was computed when the
-value was less than 0.05, which was considered statistically significant.
Out of 282 samples, 274 study participants were involved providing a response rate of 97.2%. The prevalence of premenstrual dysphoric disorders was 64.6% (95% CI: 59.5-70.4). Participants with the irregular menstrual cycle (AOR = 2.24; 95% CI: 1.26-4.34), heavy menstrual flow (AOR = 2.53; 95% CI: 1.84-7.59), moderate menstrual flow (AOR = 2.29; 95% CI: 1.02-5.26), severe menstrual pain (AOR = 5.69; 95% CI: 1.86-7.42) and those who have depressive symptoms (AOR = 2.46, 95% CI: 1.08-5.68) were variables associated with premenstrual dysphoric disorders.
The prevalence of premenstrual dysphoric disorder was relatively high. Severe menstrual pain, menstrual irregularity, heavy menstrual flow, and a history of depression had significant associations with premenstrual dysphoric disorder. It will be better if higher institution administrators design and implement methods to screen and intervene premenstrual dysphoric disorder among female students.
Abstract
Background
Internet addiction affects cognitive function, has a harmful impact on students’ academic performance, and increases their risk of experiencing psychological crises.
Objectives
...Examining the prevalence of internet addiction and its contributing factors among regular undergraduate students at Jimma University in south-west Ethiopia.
Methods
An institutional-based cross-sectional study was conducted among study participants between August 1 and August 30, 2021. A total of 772 Participants were involved in the study using a multistage random sampling technique. Data was collected using pretested and structured questionnaires with self-administered techniques. The Young Internet Addiction Test (YIAT) was used to measure internet addiction. The data was entered into the computer using Epi Data version 4.6, and then it was exported to the Statistical Package for Social Science (SPSS) version 25 for analysis. The association between each independent variable and the outcome variable was examined using bivariate analysis. Variables with a p-value of less than 0.25 in bivariate analysis were included in the multivariate logistic regression model to determine how each independent variable affected the outcome variable.
Result
The prevalence of internet addiction among study participants was 53.6% (95% Confidence Interval (CI)) (49.99%, 57.15%). Findings from multivariate logistic regression analysis suggested a variety of related factors had significant associations with internet addiction. Being dissatisfied with a major study, having a cumulative grade point average of a promoted grade report, using the internet for entertainment, using the internet for Facebook, using the internet for telegram, depression, social anxiety, and poor social support.
Conclusion
This study revealed a comparatively high frequency of internet addiction among study participants. Internet addiction has been linked to psychosocial, academic, and purpose-related aspects of internet use. As a result, incorporating stakeholders’ efforts to improve the identified variables would be a helpful start toward lowering this high incidence.
Depressive disorder is one of the severe and common mental illnesses in the general population. Bipolar disorder is a severe, persistent mental illness associated with significant morbidity and ...mortality. However, there is a paucity of data on the prevalence of depressive disorder, and bipolar disorder in our study area.
This study aimed to assess the prevalence of depressive and bipolar disorders among adults in Kersa, Haramaya, and Harar Health and Demographic Surveillance Sites in Eastern Ethiopia.
A community-based cross-sectional study was conducted among 1,416 participants. A multi-stage sampling was employed to select the participants. DSM-5 diagnostic criteria was used to assess depressive disorder and bipolar disorder. Data was collected using a standard questionnaire. Data were entered into Epi-Data 3.1 and analyzed using SPSS version 26. Both binary and multivariate logistic regression analyses were done. Those with a p-value < 0.05 in the final model were considered statistically significant.
The overall prevalence of depressive and bipolar disorders among our study participants was 6.7% (95% CI: 5.40, 8.20) and 2.1% (95% CI: (1.40, 3.00), respectively. The independent predictors of depressive disorder included a family history of mental illness, chronic medical illnesses, unemployment, low educational status, divorced or widowed, poor social support, and current alcohol use or khat chewing. Single, males, divorced or widowed, and current consumers of alcohol were independent predictors for bipolar disorder.
The results of our investigation showed that bipolar illness and depression were significant public health issues. It was shown that although bipolar disorder is highly prevalent in the society, depression is a widespread concern. As a result, it is imperative that the relevant body grow and enhance the provision of mental health services. Furthermore, research on the effects and burdens of bipolar disorder in the community is required.
Background. The prevalence of mental health problems including depression is increasing in severity and number among higher institution students, and it has a lot of negative consequences like poor ...academic performance and committing suicide. Identifying the prevalence and associated factors of mental illness among higher institution students is important in order to administer appropriate preventions and interventions. In Ethiopia, only a few studies tried to report associated factors of depression among university students. Objective. The objective of this study was to determine the prevalence and factors associated with depressive symptoms among Haramaya University students, Ethiopia. Methods. Institution-based, cross-sectional study design was conducted among 1040 students. A standard, self-administered questionnaire was used to get data from a sample of randomly selected 1040 undergraduate university students using a multistage systematic random sampling technique. The questionnaire used was the Beck Depression Inventory (BDI) scale which is a self-report 21-item scale that is used to assess the presence of depressive symptoms. All 21 items are rated on a three-point scale (0 to 3). Each question is scored on a 0 to 3 scale, and total scores range from 0 to 63, with higher scores reflecting greater levels of depressive symptoms. The questionnaire has been well validated as a measure of depressive symptomatology with scores 1-13 indicating minimal depressive symptoms, 14-19 showing mild depressive symptoms, 20-28 showing moderate depressive symptoms, and 29-63 indicating severe depressive symptoms. Logistic regression analysis was used to identify variables independently associated with depressive symptoms after we dichotomized the depressive symptoms screening tool to “yes/no” depressive symptoms. This means students who did not report any depressive symptoms were given “no” depressive symptoms and who reported at least one (≥1) depressive symptoms were given “yes” (depressive symptoms). Results. A total of 1022 (98.3%) out of 1040 students participated in this study. The mean age of participants was 20.9 years (SD±2.17), and the majority of them (76.0%) were male students. Prevalence of depressive symptoms among undergraduate students was 26.8% (95% CI: 24.84, 28.76). Among those who had reported depressive symptoms: 10%, 12%, 4%, and 1% of students reported minimal, mild, moderate, and severe depressive symptoms, respectively. Multivariable logistic regression analysis in the final model revealed that being a first-year student (AOR 6.99, 95% CI: 2.31, 21.15, p value < 0.001), being a second-year student (AOR 6.25, 95% CI: 2.05, 19.07, p value < 0.001), and being a third-year student (AOR 3.85, 95% CI: 1.26, 11.78, p value < 0.018) and being divorced/widowed (AOR 5.91, 95% CI: 1.31, 26.72, p value < 0.021), current drinking alcohol (AOR 2.53, 95% CI: 1.72,3.72, p value < 0.001), current smoking cigarettes (AOR 1.71, 95% CI: 1.02, 2.86, p value < 0.042), and current use of illicit substances (AOR 2.20, 95% CI: 1.26, 3.85, p value < 0.006) were independently associated with depressive symptoms. Having no religion and currently chewing Khat were statistically significantly associated with depressive symptoms in the binary logistic regression analysis but not in the final model. Conclusions. The prevalence of depressive symptoms among university students in this study is high relative to the general population. Sociodemographic factors year of study and current substance use were identified as associated factors of depressive symptoms. Recommendations. This finding suggests the need for the provision of mental health services at the university, including screening, counseling, and effective treatment. Families need to closely follow their students’ health status by having good communication with the universities, and they have to play their great role in preventing depression and providing appropriate treatment as needed. The governments and policy-makers should stand with universities by supporting and establishing matured policies which helps universities to have mental health service centers. Generally, the university and other stakeholders should consider these identified associated factors for prevention and control of mental health problems of university students.
Background
Khat is a huge, evergreen tree that grows at high altitudes throughout the Arabian Peninsula and in the region stretching from eastern to southern Africa. Cathinone, cathine, and ...norephedrine are psychoactive ingredients contained in khat. Ethiopian teenagers, especially those in secondary school, frequently use khat. This use of khat may lead to students frequently missing class and experiencing subpar academic performance. However, the study area lacks information regarding the prevalence of khat use and the factors associated with it.
Objective
This study's primary goal is to determine the prevalence of khat chewing and related factors among secondary school students in public schools in Harar, Eastern Ethiopia, in 2022.
Methods
A multicenter cross-sectional study design was employed from June 01–June 30, 2022, in three public secondary schools in Harar town in a sample of 485 students. Systematic random sampling was used to choose the study sample. Data were gathered using self-administered questionnaires, and the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) was used to assess khat chewing. Epidata version 4.6 was used to enter the data, while STATA version 14 was used to analyze them. To determine the factors related to khat chewing, bivariate and multivariate logistic regression analysis was conducted, and statistical significance was determined at a 95% confidence level with a
P
-value under 0.05.
Results
Out of 485 eligible participants, 455 responded to this survey, giving a response rate of 93.8%. Overall, 33.2% (95% CI: 29.2%−37.6%) of the sample's participants reported currently chewing khat. Age ranged from 20 to 25 years (AOR = 2.04; 95% CI: 1.19–3.48), male students (AOR = 7.03; 95% CI: 4.35–12.57), current alcohol user (AOR 6.48; 95% CI: 2.30–18.28), presence of chewer friends (AOR 3.86; 95% CI: 2.38–6.24), and depression (AOR 1.84, 95%CI: 1.02–3.30), were strongly associated with khat chewing at a
p
-value of < 0.05.
Conclusion
Khat chewing was very common among students in Eastern Ethiopia's public secondary schools. Ages between 20 and 25 years, being a male, being current alcohol users, having chewer buddies, and depression are all significantly linked to khat use. Thus, schools should create and implement audience-specific behavioral change communication to deter and stop students from chewing khat. Additionally, it is important to ban the sale of khat to young adults and adolescents, promote medical care for khat users, and foster peer advocacy for support services.
PDF
