Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Series
Editorial
Letter to Editor
Original Article
Review Article
Technical Note
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Series
Editorial
Letter to Editor
Original Article
Review Article
Technical Note
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Case Report
Case Series
Editorial
Letter to Editor
Original Article
Review Article
Technical Note
View/Download PDF

Translate this page into:

Original Article
2 (
2
); 101-107
doi:
10.25259/GJHSR_17_2024

Screening for common mental disorders in people with epilepsy in Goma, in the Democratic Republic of the Congo: A cross-sectional study

Department of Internal Medicine, Faculty of Medicine, University of Goma, Goma, The Democratic Republic of the Congo
Department of Maternal and Child Health, Higher Institute of Medical Techniques of Lubumbashi, Lubumbashi, The Democratic Republic of the Congo
Department of Pediatrics, University of Lubumbashi, Lubumbashi, The Democratic Republic of the Congo
Department of Internal Medicine, University of Kisangani, Kisangani, The Democratic Republic of the Congo

*Corresponding author: Olivier Mukuku, Department of Maternal and Child Health, Higher Institute of Medical Techniques of Lubumbashi, Lubumbashi, The Democratic Republic of the Congo. oliviermukuku@yahoo.fr

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Polepole FM, Mukuku O, Wembonyama SO, Tsongo ZK. Screening for common mental disorders in people with epilepsy in Goma, in the Democratic Republic of the Congo: A cross-sectional study. Glob J Health Sci Res. 2024;2:101-7. doi: 10.25259/GJHSR_17_2024

Abstract

Objectives:

Epilepsy is a chronic neurological disease that is highly susceptible to a variety of mental health problems due to its enormous biological, social, and psychological burdens. The purpose of this study was to determine the prevalence and identify risk factors for common mental disorders (CMDs) in people with epilepsy (PWEs) in Goma, in the Democratic Republic of the Congo (DRC).

Material and Methods:

This is an analytical cross-sectional study conducted at the Neuropsychiatric Hospital Center in Goma (DRC) from March to April 2022, involving 302 PWEs. A questionnaire was administered to collect socio-demographic data, personal and family history, clinical features, and management of epilepsy. CMDs were assessed using the self-report questionnaire-20. Bivariate analysis was performed, followed by multivariate analysis, and variables with P < 0.05 in the final model were considered as risk factors associated with CMDs.

Results:

The study included 302 PWEs, of which 56.9% were men, and the mean age was 28.4 ± 11.0 years. CMDs were present in 39.1% of the participants. The presence of CMDs was significantly associated with having five or more seizures in the month preceding the survey (adjusted odds ratio [aOR] = 3.8; 95% confidence interval [CI]: 1.7–8.3) and having medical co-morbidities (aOR = 3.1; 95% CI: 1.5–6.4).

Conclusion:

The prevalence of CMDs in PWEs was high (39.1%), suggesting that this is a public health issue. Therefore, early detection and recognition of CMD symptoms should be a routine activity when managing PWEs.

Keywords

Epilepsy
Psychiatric comorbidity
Common mental disorder
Risk factors
Goma

INTRODUCTION

According to the International League against Epilepsy, epilepsy is defined as a neurological condition characterized by at least two unprovoked seizures.[1] Epilepsy has a multidimensional effect on the body, such as limitations on physical, mental, and behavioral functions. Due to factors such as traumatic brain injury, pneumonia, epileptic illness, suicide, and sudden death, epilepsy is associated with a high risk of premature mortality.[2] The prevalence of common mental disorders (CMDs) among people with epilepsy (PWEs) remains unclear due to methodological difficulties in estimating prevalence, including diagnostic criteria and classification of epilepsy, the selection of populations studied, the choice of survey type and diagnostic instruments, and data interpretation.[3] However, PWEs are known to suffer more from CMDs than the general population, with over 50% reported in most studies.[4-8] Unfortunately, CMDs are often poorly recognized and treated, even in well-medicalized countries such as Canada, where 38% of PWEs with depressive disorders received no psychiatric treatment in the year before the survey conducted by Fuller-Thomson and Brennenstuhl.[9] Untreated CMDs exacerbate and perpetuate epilepsy and reinforce social, educational, and occupational exclusion. Furthermore, CMDs in PWEs create an additional burden for patients and their families, directly impacting quality of life.[10]

The assessment of CMDs in PWEs and the identification of associated risk factors are more important issues as the risk of cognitive, behavioral, and psychosocial disorders is increased in these patients.[10,11]

The study found that risk factors associated with CMDs in PWEs were female sex, young age, low income, poor quality of life, unemployment,[12] family history of psychiatric illness,[13] high frequency of seizures, low level of education,[14] duration of epileptic illness, poor adherence to antiepileptic therapy,[15,16] and medical co-morbidities.[16,17] These risk factors should be considered in the assessment and identification of CMDs in PWEs.

To our knowledge, no prior research has investigated the prevalence and risk factors of CMDs in PWEs in the Democratic Republic of the Congo (DRC). Therefore, this study aimed to determine the prevalence and identify risk factors for CMDs in PWEs in the DRC. The findings of this study will help fill the gap in knowledge in this area and provide valuable baseline data for future researchers and decision-makers.

MATERIAL AND METHODS

Study framework and design

This is a cross-sectional hospital analytical study carried out at the Neuropsychiatric Hospital Center in Goma (DRC) from March to April 2022. This study was carried out at this hospital, which specializes in the management of PWEs and is located in Goma, which is the capital of the province of North Kivu. This hospital serves a population of over 2 million.

Study population

The study population consisted of PWEs enrolled for follow-up at the Neuropsychiatric Hospital Center in Goma (DRC) from March to April 2022. The enrollment register showed that over 2500 patients had a history of epilepsy follow-up at this center. On average, 50 PWEs visited the clinic each week, resulting in an estimated total of 400 PWEs following up during the data collection period. Using the formula n = z2p(1-p)/d2, with a standard deviation at 95% confidence interval [CI] (z2=1.96), a precision error at 5% (0.05), a prevalence of CMDs of 35.8% from a study by Wubie et al.,[16] a margin of error of 5%, a confidence certainty interval of 95% (alpha = 0.05), and 10% non-response, the sample size for the study was calculated to be 388. Eligible participants were recruited using a systematic sampling approach. Exclusions were made for patients with language impairment, mental retardation, coma, or those who did not consent to participate. The final sample size was 302 PWEs.

All cases of follow-up epilepsy during the study period aged 18 years and older were allowed to participate in the study, while PWEs unable to communicate during the interview were excluded.

Operational definitions

Epilepsy is defined as a chronic neurological disease characterized by two or more unprovoked seizures.[1] Common mental or psychiatric disorders were operationalized as a score of ≥7 on the self-report questionnaire (SRQ-20).[18]

Data collection

Questionnaires were utilized to collect data, which were prepared in French and translated into Swahili (for some patients). To collect CMD data, a standardized and valid SRQ-20 questionnaire with 20 elements was used through an interviewer-based questionnaire.[18] A score of ≥7 was used to establish the presence of CMD. The SRQ-20 questionnaire assesses common mental symptoms experienced by patients over the past 30 days.

The questionnaire was pre-tested on 20 individuals who were not included in the study 1 week before the data collection period. Data were collected by 10 practicing physicians who underwent adequate training on research objectives, procedures, and ethical issues. The clarity, consistency, and completeness of the collected questionnaire were verified daily by the investigators, and the necessary corrections were made before the next day’s work began. To ensure reliability and accuracy, double data entry was performed, and the computer data were cleaned.

Statistical analysis

STATA version 16 was used as a data entry and analysis tool. Descriptive statistics (percentages, mean, and standard deviation) were used to summarize the sociodemographic and clinical characteristics of the PWEs included in the study. A bivariate analysis followed by a logistic regression model was conducted to assess potential risk factors for a CMD. Variables with P < 0.2 in the bivariate analysis were grouped into multivariable logistic regression. The adjusted odds ratio [aOR] with its 95% (95% CI) was used to measure the strength of the association, and the statistical significance was set to P < 0.05 in the final model.

Ethical considerations

This study was approved by the Medical Ethics Committee of the University of Goma with the approval number UNIGOM/CEM/002/2022. Before the interview, each participant provided free written informed consent after receiving a brief explanation of the study. Participants were informed of their right to refuse or withdraw their participation at any time without prejudice. Personal identifiers such as names, addresses, and telephone numbers were not recorded during data collection. The collected data were kept confidential and used solely for the purpose of the study.

RESULTS

Sociodemographic characteristics of the respondents

A total of 302 PWEs participated in the study, achieving a response rate of 100%. The mean age of the participants was 28.4 ± 11.0 years, with the majority (135, 44.7%) being between 18 and 24 years of age. Of the participants, 172 (56.9%) were men. Half of the participants (151, 50%) had completed secondary school. The majority of participants (161, 53.3%) were Protestant. More than three-quarters of participants (229, 75.8%) were single, and over one-third (35.1%) were employed [Table 1].

Table 1: Sociodemographic characteristics of the respondents.
Variable Total (n=302) PWEs with common mental disorder (n=118), n (%) PWEs without common mental disorder (n=184), n (%) Unadjusted odds ratio (95% confidence interval) P-value
Age
  18–24 years 135 55 (40.7) 80 (59.3) 1.5 (0.6–3.8) 0.4626
  25–29 years 81 33 (40.7) 48 (59.3) 1.5 (0.6–4.0) 0.4977
  30–34 years 28 10 (35.7) 18 (64.3) 1.3 (0.4–3.9) 0.9232
  35–44 years 32 12 (37.5) 20 (62.5) 1.4 (0.5–4.0) 0.5917
  ≥45 years 26 8 (30.8) 18 (69.2) 1.0
Gender
  Female 130 54 (41.5) 76 (58.5) 1.2 (0.8–1.9) 0.4452
  Male 172 64 (37.2) 108 (62.8) 1.0
Educational level
  Illiterate 67 24 (35.8) 43 (64.2) 1.2 (0.5–3.0) 0.9148
  Primary 84 30 (35.7) 54 (64.3) 1.2 (0.5–2.9) 0.9088
  Secondary 123 55 (44.7) 68 (55.3) 1.7 (0.7–4.1) 0.3158
  Higher/University 28 9 (32.1) 19 (67.9) 1.0
Marital status
  Married 60 25 (41.7) 35 (58.3) 1.2 (0.7–2.1) 0.7104
  Single 229 87 (38.0) 142 (62.0) 1.0
  Divorced/Widowed 13 6 (46.2) 7 (53.8) 1.4 (0.5–4.3) 0.7676
Religion
  Catholic 126 53 (42.1) 73 (57.9) 1.3 (0.8–2.0) 0.4169
  Protestant 161 59 (36.6) 102 (63.4) 1.0
  Others 15 6 (40.0) 9 (60.0) 1.1 (0.4–3.4) 1.0000
Occupation status
  With 106 36 (34.0) 70 (66.0) 1.0
  Without 196 82 (41.8) 114 (58.2) 1.4 (0.8–2.3) 0.2243

PWE: People with epilepsy

Clinical characteristics of the respondents

The study found that 48.7% of PWEs had experienced seizures for <5 years, and 24.2% had no seizures in the month before the survey. 45.7% of participants received antiepileptic medication as monotherapy, while 10.9% received bitherapy. 43.4% had discontinued antiepileptic therapy. Medical comorbidity was present in 14.2% of participants, while 33.1% had a family history of epilepsy. Only 4.3% of participants smoked, while 11.6% consumed alcohol [Table 2].

Table 2: Clinical characteristics of the respondents.
Variable Total (n=302) PWEs with common mental disorder (n=118), n (%) PWEs without common mental disorder (n=184), n (%) Unadjusted odds ratio (95% confidence interval) P-value
Duration of epileptic illness
  <5 years 147 55 (37.4) 92 (62.6) 1.0
  5–10 years 68 30 (44.1) 38 (55.9) 1.3 (0.7–2.4) 0.4326
  >10 years 87 33 (37.9) 54 (62.1) 1.0 (0.6–1.8) 1.0000
Number of seizure attack in the past 30 days
  0 73 18 (24.7) 55 (75.34) 1.0
  1–4 171 66 (38.6) 105 (61.40) 1.9 (1.0–3.6) 0.0358
  ≥5 58 34 (58.6) 24 (41.38) 4.3 (2.1–9.1) <0.0001
Antiepileptic medication
  Monotherapy 138 44 (31.9) 94 (68.12) 1.1 (0.5–2.5) 1.0000
  Bitherapy 33 10 (30.3) 23 (69.70) 1.0
  None 131 64 (48.9) 67 (51.15) 2.2 (1.0–5.0) 0.0499
Medical comorbidity
  No 259 90 (34.7) 169 (65.3) 1.0
  Yes 43 28 (65.1) 15 (34.9) 4.0 (2.0–7.9) <0.0001
Alcohol consumption
  No 267 98 (36.7) 169 (63.3) 1.0
  Yes 35 20 (57.1) 15 (42.9) 2.3 (1.1–4.7) 0.0198
Smoking
  No 289 109 (37.7) 180 (62.3) 1.0
  Yes 13 9 (69.2) 4 (30.8) 3.7 (1.0–16.8) 0.0380
Family history of epilepsy
  No 202 74 (36.6) 128 (63.4) 1.0
  Yes 100 44 (44.0) 56 (56.0) 1.4 (0.8–2.2) 0.2169

PWE: People with epilepsy

Prevalence of CMDs in PWE

The classification of PWEs as having CMDs was based on a score ≥7 on the SRQ-20 questionnaire, while those with a score <7 on the SRQ-20 were classified as not having CMD. The study found that the prevalence of CMDs was 39.1% (95% CI: 33.7–44.7%) [Figure 1].

Prevalence of common mental disorders in people with epilepsy attending the Neuropsychiatric Hospital Center in Goma, in the Democratic Republic of the Congo (n = 302).
Figure 1:
Prevalence of common mental disorders in people with epilepsy attending the Neuropsychiatric Hospital Center in Goma, in the Democratic Republic of the Congo (n = 302).

The study found that the most prevalent symptoms of CMDs among participants were headache (50.0%), difficulty working daily (40.1%), nervousness (39.7%), lack of appetite (31.5%), poor sleep conditions (29.5%), and constant fatigue (29.5%). Suicidal ideation was reported by 43 (14.2%) of the participants [Table 3].

Table 3: Self-reporting questionnaire-20.
Items Yes No
Do you often have headache? 151 (50.0) 151 (50.0)
Is your appetite poor? 95 (31.5) 207 (68.5)
Do you sleep badly? 89 (29.5) 213 (70.5)
Are you easily frightened? 90 (29.8) 212 (70.2)
Do your hands shake? 93 (30.8) 209 (69.2)
Do you feel nervous, tense, or worried? 120 (39.7) 182 (60.3)
Is your digestion poor? 26 (8.6) 276 (91.4)
Do you have trouble thinking clearly? 93 (30.8) 209 (69.2)
Do you feel unhappy? 96 (31.8) 206 (68.2)
Do you cry more than usual? 60 (19.9) 242 (80.1)
Do you find it difficult to enjoy your daily activities? 95 (31.5) 207 (68.5)
Do you find difficult to make decision? 84 (27.8) 218 (72.2)
Is your daily work suffering? 121 (40.1) 181 (59.9)
Are you unable play a useful part in life? 88 (29.1) 214 (70.9)
Have lost interest in things? 61 (20.2) 241 (79.8)
Do you feel that you are a worthless person? 66 (21.9) 236 (78.1)
Has the thought of ending your life been on your mind? 43 (14.2) 259 (85.8)
Do you feel tired all the time? 74 (24.5) 228 (75.5)
Do you have unpleasant sensations in the stomach? 42 (13.9) 260 (86.1)
Are you easily tired? 89 (29.5) 213 (70.5)

Determinants of CMDs in PWE

Table 1 shows that none of the sociodemographic characteristics studied were significantly associated with CMDs. However, correlations between clinical characteristics and CMDs are shown in Table 2. The study found that the number of seizures in the month preceding the survey, absence of antiepileptic medication, presence of medical co-morbidity, alcohol consumption, and smoking were significantly associated with CMDs (P < 0.05).

Figure 2 displays the findings of multiple logistic regression. Those who experienced 5 or more seizures were approximately 4 times more prone (aOR = 3.8; 95% CI: 1.7–8.3) to developing CMD compared to those who had <5 epileptic seizures. In addition, participants were 3 times more likely to develop CMD if they had medical co-morbidity than those without medical co-morbidity (aOR = 3.1; 95% CI: 1.5–6.4).

Multiple logistic regression of determinants of common mental disorders in people with epilepsy.
Figure 2:
Multiple logistic regression of determinants of common mental disorders in people with epilepsy.

DISCUSSION

This study aimed to estimate the prevalence and risk factors of CMDs using SRQ-20 in PWEs in Goma (DRC). The results indicate that CMDs were prevalent in 39.1% of PWEs in the study. The presence of medical co-morbidity and a high number of seizures (≥5) were identified as determinants of CMDs. These findings suggest the need for medical and psychological care to be provided specifically for CMDs when treating PWEs. Therefore, establishing a link between psychiatric and neurological services for PWEs is crucial. The presence of CMDs may negatively impact the outcome of the management of PWEs. As epilepsy is the most common neurological problem with an organic origin that is not always recognized due to mistaken beliefs, assessing the extent of CMDs and their determinants is essential in developing countries such as the DRC.[19]

Several previous studies have reported comparable prevalences to those found in this study, such as 35–35.8% in Ethiopia,[16,20] 35.5% in Iceland,[21] 36.5% in the United States,[12] and 37% in Europe.[22] However, some studies found significantly higher prevalence rates, ranging from 45% to 80%.[15,23-30] while other studies reported lower prevalences ranging from 5.9% to 29%.[11,31-33] Differences in sample size, assessment instruments used, and epilepsy patterns may explain the variation in prevalence across studies. Unlike other studies that focused only on temporal lobe epilepsy, which has a higher risk of CMD,[25] this study assessed all types of epilepsy.

Numerous studies have unanimously shown that the most common CMDs in PWEs are anxiety and depression.[4,34-36] The prevalence of these disorders differs from study to study. This could be explained by methodological differences, mainly concerning the choice of measuring instruments used and the scores used to assess the severity of anxiety and depression symptoms. However, the results of this study showed that the prevalence of CMDs was nearly 3 times that of the World Health Organization report on the global burden of CMDs (14%) in the general population,[37] indicating that the burden of CMDs in PWEs in the eastern DRC is higher than in the general population. This would be the result of problems faced by PWEs, including the state of epileptic seizures, the financial burden of treatment, the side effects of medicines, and community discrimination related to an epileptic seizure.

The study confirms that the development of CMDs in PWEs is associated with the presence of co-morbid medical conditions (aOR = 3.1; 95% CI: 1.5–6.4). This finding is consistent with a similar Ethiopian study, which reported that PWEs with medical co-morbidities were 3 times more likely to experience CMDs than those without medical comorbidities (aOR = 2.99; 95% CI: 1.95–9.39).[16] This could be attributed to the negative impact of medical conditions on the quality of life of PWEs, as suggested by other studies.[38]

Participants with 5 or more seizures were nearly 4 times more likely to develop a CMD compared to those with fewer than 5 seizures in the month before the survey (aOR = 3.8; 95% CI: 1.7–8.3). Consistent with our study, Mekuriaw et al.[39] reported in a recent Ethiopian study that PWEs who had uncontrolled seizures in the year before the survey were more likely to have CMDs than their counterparts (aOR = 1.96; 95% CI: 1.21–3.18). This association could be explained by the fact that people with uncontrolled epileptic seizures usually become desperate and may lack confidence in drug therapies.[40]

The persistence of seizures, often due to poor adherence, can lead PWEs to develop additional physical conditions or co-morbidities, as well as feelings of desperation due to the incurability of the disease and medication fatigue.[39] Non-compliance with medication can result in reduced seizure control, decreased quality of life, decreased productivity, or even job loss due to seizures, as stated by Mekuriaw et al.[39] Recurrent epileptic seizures that complicate CMDs establish a bidirectional interaction between epilepsy and CMD.

This study has several limitations. The findings may not be applicable to the entire Congolese population, as the research was conducted in only one city. Self-reported questionnaires used to assess mental health issues may be influenced by a positivist bias, overestimating actual mental health values, and recall bias. In addition, due to the cross-sectional nature of the study design, it is difficult to establish causality between CMDs and their associated risk factors.

CONCLUSION

The present study showed that CMDs are common in PWEs in Goma (eastern DRC) and that the number of epileptic seizures ≥5 and the presence of medical co-morbidity are determinants. The management of PWEs must integrate psychosocial support and psychotherapeutic approaches as a complement to the pharmacological intervention of epilepsy while placing greater emphasis on the risk factors of these CMDs. It can also be used as a means to improve treatment adherence, therapeutic relationships, and the overall outcomes of PWE treatment with feasible and cost-effective services.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Authors’ contributions

FMP and OM were the principal investigators; they conceived and designed the survey and critically reviewed the manuscript. FMP, OM, SOW, and ZKT collected data and reviewed the manuscript development, revised the methodology, and critically reviewed the manuscript. All authors read and approved the final manuscript.

Ethical approval

The research/study approved by the Institutional Review Board at Medical Ethics Committee of the University of Goma, number UNIGOM/CEM/002/2022, dated January 14, 2022.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship

Nil.

References

  1. , , , , , , et al. ILAE official report: A practical clinical definition of epilepsy. Epilepsia. 2014;55:475-82.
    [CrossRef] [PubMed] [Google Scholar]
  2. , , , . The epidemiology of epilepsy in Europe-a systematic review. Eur J Neurol. 2005;12:245-53.
    [CrossRef] [PubMed] [Google Scholar]
  3. , , , , , , et al. Psychiatric disorders and associated factors in patients with epilepsy in Fez, Morocco. L'Encéphale. 2015;41:493-8.
    [CrossRef] [PubMed] [Google Scholar]
  4. , . Psychiatric complications in patients with epilepsy: A review. Epilepsy Res. 2002;49:11-3.
    [CrossRef] [PubMed] [Google Scholar]
  5. , . Epilepsy and psychiatric disorders: Epidemiological data. Rev Neurol. 1998;154:305-17.
    [Google Scholar]
  6. , , . Psychiatric comorbidities in epilepsy. Int Rev Neurobiol. 2008;83:347-83.
    [CrossRef] [PubMed] [Google Scholar]
  7. , , . Prevalence and clinical characteristics of postictal psychiatric symptoms in partial epilepsy. Neurology. 2004;62:708-13.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , , , , et al. Psychiatric disorders in temporal lobe epilepsy: An overview from a tertiary service in Brazil. Seizure. 2010;19:479-84.
    [CrossRef] [PubMed] [Google Scholar]
  9. , . The association between depression and epilepsy in a nationally representative sample. Epilepsia. 2009;50:1051-8.
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , . Psychiatric comorbidities of epilepsy: A review. J Neurol Neurophysiol. 2011;2:1-10.
    [CrossRef] [Google Scholar]
  11. , , , , . Psychiatric comorbidity in epilepsy: A population-based analysis. Epilepsia. 2007;48:2336-44.
    [CrossRef] [PubMed] [Google Scholar]
  12. , , . Depression and comorbidity in community-based patients with epilepsy or asthma. Neurology. 2004;63:1008-14.
    [CrossRef] [PubMed] [Google Scholar]
  13. , , . Depression and schizophrenia in epilepsy: Social and biological risk factors. Epilepsy Res. 1999;35:59-68.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , . Co-morbidity of depression and epilepsy in Jimma University specialized hospital, Southwest Ethiopia. Neurol India. 2014;62:649-55.
    [CrossRef] [PubMed] [Google Scholar]
  15. , , , . Depression among people with epilepsy in Northwest Ethiopia: A cross-sectional institution based study. BMC Res Notes. 2015;8:585.
    [CrossRef] [PubMed] [Google Scholar]
  16. , , . Common mental disorders and its determinants among epileptic patients at an outpatient epileptic clinic in Felegehiwot Referral Hospital, Bahirdar, Ethiopia: Cross-sectional study. Int J Ment Health Syst. 2019;13:76.
    [CrossRef] [PubMed] [Google Scholar]
  17. . Factors influencing the occurrence of schizophrenia-like psychosis in patients with temporal lobe epilepsy. Psychol Med. 1975;5:249-54.
    [CrossRef] [PubMed] [Google Scholar]
  18. , , . A user's guide to the self-reporting questionnaire (SRQ) Geneva: World Health Organization; .
    [Google Scholar]
  19. , , , , , . Epidemiology of epilepsy in Lubumbashi, Democratic Republic of Congo. Neurol Res Int. 2020;2020:5621461.
    [CrossRef] [PubMed] [Google Scholar]
  20. , , , , , . Depression and anxiety disorder among epileptic people at Amanuel Specialized Mental Hospital, Addis Ababa, Ethiopia. BMC Psychiatry. 2015;15:210.
    [CrossRef] [PubMed] [Google Scholar]
  21. , , . Psychiatric morbidity in epilepsy: A case controlled study of adults receiving disability benefits. J Neurol Neurosurg Psychiatry. 1998;64:238-41.
    [CrossRef] [PubMed] [Google Scholar]
  22. , , . A population survey of mental health problems in children with epilepsy. Dev Med Child Neurol. 2003;45:292-5.
    [CrossRef] [Google Scholar]
  23. , , , , . Prevalence of psychopathology in Dutch epilepsy inpatients: A comparative study. Epilepsy Behav. 2001;2:441-7.
    [CrossRef] [PubMed] [Google Scholar]
  24. . Epilepsy in Iceland: A clinical and epidemiological investigation. Acta Neurol Scand Suppl. 1966;25:1-124.
    [Google Scholar]
  25. , , , , , , et al. Prevalence of psychiatric comorbidities in temporal lobe epilepsy: The value of structured psychiatric interviews. Epileptic Disord. 2010;12:283-91.
    [CrossRef] [PubMed] [Google Scholar]
  26. , , , , . Depression in complex partial seizures electroencephalography and cerebral metabolic correlates. Arch Neurol. 1994;51:155-63.
    [CrossRef] [PubMed] [Google Scholar]
  27. , , , , , . Psychological distress, comorbidities, and health behaviors among US adults with seizures: Results from the 2002 National Health Interview Survey. Epilepsia. 2005;46:1133-9.
    [CrossRef] [PubMed] [Google Scholar]
  28. , , . Prevalence of self-reported epilepsy or seizure disorder and its associations with self-reported depression and anxiety: Results from the 2004 Healthstyles Survey. Epilepsia. 2006;47:1915-21.
    [CrossRef] [PubMed] [Google Scholar]
  29. , . Relationship between interictal psychopathology and the type of epilepsy: Results of a survey in general practice. Br J Psychiatry. 1987;151:95-101.
    [CrossRef] [PubMed] [Google Scholar]
  30. , , , , , , et al. Interictal mood and personality disorders in temporal lobe epilepsy and juvenile myoclonic epilepsy. J Neurol Neurosurg Psychiatry. 1996;61:601-5.
    [CrossRef] [PubMed] [Google Scholar]
  31. . Prevalence of epilepsy in adults in northern Sweden. Epilepsia. 1992;33:450-8.
    [CrossRef] [PubMed] [Google Scholar]
  32. , , , . The presence and clinical implications of depression in a community population of adults with epilepsy. Epilepsy Behav. 2006;8:213-9.
    [CrossRef] [PubMed] [Google Scholar]
  33. , . A survey of epilepsy in fourteen general practices: Social and psychological aspects. Epilepsia. 1959;1:285-99.
    [CrossRef] [PubMed] [Google Scholar]
  34. , , . Psychiatric comorbidity in chronic epilepsy: Identification, consequences, and treatment of major depression. Epilepsia. 2000;41(Suppl 2):S31-41.
    [CrossRef] [PubMed] [Google Scholar]
  35. , , . Psychosocial issues in people with epilepsy in Togo and Benin (West Africa). Anxiety and depression measured using Golgberg's scale. Epilepsy Behav. 2004;5:722-7.
    [CrossRef] [PubMed] [Google Scholar]
  36. , . Psychiatric comorbidity in epilepsy. Bull Soc Sci Med Grand Duche Luxemb. 2005;3:283-92.
    [Google Scholar]
  37. . Global burden of mental disorders and the need for a comprehensive, coordinated response from health and social sectors at the country level. . Report by the Secretariat. Geneva: WHO; Available from: https://apps.who.int/iris/handle/10665/78898 [Last accessed on 2022 Apr 12]
    [Google Scholar]
  38. , , , . Quality of life and comorbid medical and psychiatric conditions in temporal lobe epilepsy. Epilepsy Behav. 2006;9:510-4.
    [CrossRef] [PubMed] [Google Scholar]
  39. , , , , , . Magnitude, symptom presentation and correlates of psychological distress among people with epilepsy in Southern Ethiopia: A cross-sectional study. Neuropsychiatr Dis Treat. 2020;16:2143-51.
    [CrossRef] [PubMed] [Google Scholar]
  40. , , , , , , et al. Treatment outcome and associated factors among patients with epilepsy. Sci Rep. 2018;8:17354.
    [CrossRef] [PubMed] [Google Scholar]
Show Sections