Magnitude of Mental Distress and its Determinants Among Medical and Health Science Regular Undergraduate Students at Jimma University: Institutional Based Cross-Sectional Study

AUTHORS

Liyew Agenagnew Gebeyaw ORCID 1 , * , Desalew Tilahun 2 , Yonas Tesfaye 1

1 Department of Psychiatry, Institute of Health, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia

2 Faculty of Health Sciences, Institute of Health Jimma University, Jimma, Ethiopia

How to Cite: Gebeyaw L A, Tilahun D , Tesfaye Y . Magnitude of Mental Distress and its Determinants Among Medical and Health Science Regular Undergraduate Students at Jimma University: Institutional Based Cross-Sectional Study, Int J Health Life Sci. Online ahead of Print ; 6(2):e105144. doi: 10.5812/ijhls.105144.

ARTICLE INFORMATION

International Journal of Health and Life Sciences: 6 (2); e105144
Published Online: August 5, 2020
Article Type: Research Article
Received: May 17, 2020
Revised: June 25, 2020
Accepted: June 28, 2020
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Abstract

Background: Mental distress is a group of mental problems manifested by symptoms of insomnia, fatigue, irritability, forgetfulness, difficulty in concentrating, and somatic complaints. University students have more severe mental health problems than the general population.

Objectives: Therefore, this study attempted to assess the magnitude of mental distress and its determinants among medical and health science regular undergraduate students at Jimma University.

Methods: A descriptive institutional-based with cross-sectional study design was conducted at Jimma University from March to April 2017 on regular undergraduate medical and health science students of the Faculty of Health Science. Study participants were selected from each batch using simple random sampling techniques and from the department by lottery method. Mental distress was assessed by using Self-Reporting questionnaire-20. Participants with score of eight and above on the Self-Reporting questionnaire-20 were considered as having mental distress. Chi-square and descriptive statistics were done using SPSS-20.

Results: From a total of 369 study participants, about 354 gave the response rate of (95.9%). The magnitude of mental distress among medical and health science students was 35.03 %. Most of the respondents were males by sex and the mean age of the respondents was 23 years with SD ± 6. Age, sex, year of study, the practice of religion, presence of family history of mental illness, department choice, and ever use of substance (chat chewing and alcohol) were predictor variables and significantly associated with mental distress at P < 0.05.

Conclusions: The magnitude of mental distress in our study was 35.03% and it needs intervention and addressing the mentioned factors significantly associated with mental distress.

1. Background

Mental distress (or psychological distress) is a term used to describe symptoms and experiences of a person’s internal life that are commonly held to be troubling, confusing or out of the ordinary activity (1, 2).

Although mental distress affect any one numerous studies reported that high burden of mental distress found in university students compared to the other general population (3, 4), despite that its burden varies considerably from nation to nation or country to country according to previous studies finding, the magnitude of mental distress at French was 25.7% in first-year university students (5), in Australian 67.4% (6), in America 82% (7), in Canada 30% (8), in Malaysia 41.9% (9), University of Hargeisa, Somaliland 19.8% (10), and in Ethiopia(low income country), it ranges of 21.6% - 49.1% in different universities (11-16).

The reason behind the high burden of mental distress is because of university students have multiple stressors including academic load, constant pressure to succeed, academic competition with peers, financial burden, peer, teacher or parental pressure as well as concerns and worry about their future (17-19). Stress throughout education can lead to mental distress and harm cognitive functioning and learning (20-22), especially, it is more common among medical and health science students due to specific reasons like the nature of their education and separation from preexisting social support (19, 22-25).

So in university students, it is an important health challenge (26, 27), but it is under-recognized and possible factors were not well addressed especially among medical and health science students.

2. Objectives

This study attempted to assess the magnitude of mental distress and factors associated with mental distress at Jimma University medical and health science which will be helpful for different stakeholders and mental health professionals to intervene the factors accordingly.

3. Methods

3.1. Study Area and Samples

The study conducted in Jimma University on the Faculty of medical and Health Science undergraduate students from April 1, 2017, to May 31, 2017. Jimma University is located in Jimma Town, and 346 km far away from the capital city of Ethiopia, Addis Ababa. Faculty of Health Science is found in Jimma University-Main Campus, it was established in 1983, and currently, it has 10 departments with 3472 students.

All undergraduate faculties of medical and health science students of Jimma University were source populations where as all selected medical and health science students of Jimma University in 2017 were study populations.

Institutional based cross-sectional study design was used.

The sample size was determined by using single population proportion formula by taking prevalence from the previous study (40.9%) from University of Gondar (21), 95% confidence interval with 5% margin error.

Equation 1.n= Zα2d2P (1-p)

Where Zα/2 = 1.96, d = 0.05 = 5%, p = 0.409

Equation 2.n=1.962 0.409 (1  0.409)0.052

n = 371, since the source population is smaller than 10,000, population correction formula was used to determine adjusted minimum sample size as follows:

Equation 3.nf=n(1+nN)

Where; n = a minimum sample size, N = total number of health science students, NF = minimum final sample size, Thus:

Equation 4.nf=n1+nN=371(1 +3713472) = 335

Considering non-response rate, 10% the total sample size became 369.

Inclusion and exclusion criteria were as follows; Health Science students who attained their education at Jimma University in the 2017 year of study were part of study whereas students asked withdrawal before data collection and who can’t able to fill to the questioners at the time of data collection excluded from the study.

3.2. Data Collection

Stratified random sampling technique applied to select the participants’. The variable of stratification were years of study of students, and assuming that their mental status may be different as their year of study increased because it influences their behavior. Out of 10 departments, a lottery method was used to pick the department and then the departments were categorized into their batches to pick the proportion of students per the number of students in their batch. Thus, Medicine, Pharmacy, Nursing, Medical laboratory, and Anesthesia were selected. Then for each department, samples were proportionally allocated (Figure 1). After that again it was reallocated to their year of study and by using the name list of students’ then participants selected randomly by using lottery method and approached individually by the principal investigator at the time when they finished their class and they informed to fill the prepared questioners individually.

Figure 1. Sampling technique used to get study participants

First questionnaires were prepared in English language containing socio-demographic characteristics and associated factors of mental distress after exhaustive reviewing of different and relevant literature and translated into local languages (Afan Oromo and Amharic). Data collected by using Self-Reporting questionnaire-20, self-administered structured questionnaires to assess mental distress with a cut-off point eight and above (28).

3.3. Data Analysis

The collected data were cleaned, checked for completeness, coded and entered into Epi-data version 3.1software and exported to SPSS version 20 statistical software for analysis. Descriptive statistics used to summarize the results. Chi-square tests were done to see the relation between dependent and independent variables at P value < 0.05 and predictor variables were declared at P value < 0.05. Finally, the obtained results presented using narration and tables.

3.4. Ethical Considerations

Before data collection, ethical clearance and approval obtained from Jimma University, College of Health Science and Medicine, Department of Nursing. Approval ethical code was IHRB/300/2017.

Written informed consent was obtained from the involved participants for their participation after the nature of the study was fully explained to them. The right to withdraw was respected, confidentiality kept and data collection was done respectfully.

Study participants who were positive for mental distress at the time of screening by adding the positive response after they filled the questioners were referred and linked to Jimma university Medical Center Psychiatric Clinic for further assessment and treatment.

4. Results

Among 369 of the total study participants, 354 filled the questioners properly with the response rate was 95.9%. Mean age of the respondents was 23 year with SD ± 6. The Majority of respondents were orthodox 143 (40.4%) followed by Muslim 117 (33.1%) by religion, and the majority of respondents were Oromo 228 (64.4%) followed by Amhara 71 (20%) by ethnicity (Table 1).

Table 1. Sociodemographic Distribution of Respondents, at Jimma University, South West, Ethiopia, 2017a
VariablesValues
Sex
Male231 (65.3)
Female123 (34.7)
Religion
Orthodox143 (40.4)
Muslim117 (33.1)
Protestant81 (22.9)
Othersb13 (3.6)
Ethnicity
Oromo228 (64.4)
Amhara71 (20)
Tigre17 (4.8)
Othersc38 (10.7)
Current relationship status
Single205 (58)
Have a boy or girlfriend92 (26)
Married39 (11)
Divorced18 (5)
Study year
First year126 (35.6)
Second year149 (42.1)
Third year and above79 (22.3)
Department
Medicine210 (59.3)
Nursing52 (14.7)
Pharmacy47 (13.3)
Medical Laboratory34 (9.6)
Anesthesia11 (3.1)
Income in birr per month
200 - 500217 (61.3)
600 - 900107 (30.2)
> 90030 (8.5)
Parental residence
Rural215 (60.7)
Urban139 (39.3)
Current parental marital status
Together279 (78.8)
Divorced62 (17.5)
Widowed13 (3.7)
Family history of mental illness
Present79 (22.3)
Absent275 (77.7)

aValues are expressed as No. (%).

bAdventist, wokeffata.

cDawuro, Kefa, Silta.

4.1. Substance Use Status of Study Respondents

Regarding substance-using among 354 respondents 243 (68.6%) were chewing khat from this 103 (83.1%) were mentally distressed, 149 (42.1%) using alcohol from this 99 (79.8%) were mentally distressed, 63 (17.8%) were use tobacco from this 28 (22.6%) were mentally distressed, and 12 (3.4%) used none medicinal recreational drug from this 3 (2.4%) was mentally distressed. The highest prevalence of 121 (97.6%) of mental distress was found among students who were using non prescribed recreational drugs during our data collection period (Table 2).

Table 2. Study Participants Pattern of Substance Use Among Jimma University Students, South West, Ethiopia, 2017a
Substance Ever UsersHaving Mental Distress
Khat use
Users243 (68.6)103 (83.1)
Nonusers111 (31.4)21 (16.9)
Alcohol use
Users 149 (42.1)99 (79.8)
Nonusers205 (57.9)25 (20.1)
Tobacco use
Users 63 (17.8)28 (22.6)
Non-users291 (82.2)96 (77.4)
Current use of non-prescribed recreational drugs
No 12 (3.4)3 (2.4)
Yes 342 (96.6)121 (97.6)

aValues are expressed as No. (%).

4.2. Magnitude of Mental Distress at Jimma University Medical and Health Science Students

Magnitude of mental distress among medical and health science students in this study using SRQ-20, with a cut-off point 8 and above was 124 (35.03 %) (Table 3).

4.3. Determinants of Mental Distress

According to chi-square age, sex, year of study, the practice of religion, history of mental illness in the family, department choice, and ever use of a substance (khat chewing and alcohol) has a significant association with mental distress at P < 0.05, whereas ever use of tobacco and current use of non-prescribed recreational drugs has no significant association with mental distress at P < 0.05.

Table 3. Variables Associated with Mental Distress at Jimma University Students, South West, Ethiopia, 2017a
Variables Mental Distressχ2P Value
YesNoTotal
Age, y32.6008< 0.00001
18 - 2474 (27.7)193 (72.3)267 (75.4)
25 - 3042 (65.6)22 (34.4)64 (18.1)
≥ 318 (34.8)15 (65.2)23 (6.5)
Total124 (35.1)230 (64.9)354 (100)
Sex48.9924< 0.00001
Female73 (59.4)50 (40.6)123 (34.7)
Male51 (22.1)180 (77.9)231 (65.3)
Study year 16.64390.000243
1st year 41 (32.5)85 (67.5)126 (35.6)
2nd year 68 (45.6)81 (54.4)149 (42.1)
3rd year and above 15 (18.9)64 (81.1)79 (22.3)
Frequency of attending religious practice155.6125< 0.00001
Always (every day)11 (8)126 (92)137 (38.7)
Often (weekly)18 (18.8)78 (81.2)96 (27.1)
Some times (occasionally)42 (79.2)11 (20.8)53 (15)
Rarely (only in holidays)53 (77.9)15 (22.1)68 (19.2)
Family history of mental illness 122.2877< 0.00001
Yes 69 (87.3)10 (12.7)79 (22.3)
No 55 (20)220 (80)275 (77.7)
Department choice 71.2837< 0.00001
Preferred 7 (5.7)116 (94.3)123 (34.7)
Not preferred 117 (50.6)114 (49.4)231 (65.3)
Ever chewed Khat18.45880.000018
Yes 103 (42.4)140 (57.6)243 (68.6)
No 21 (18.9)90 (81.1)111 (31.4)
Ever use alcohol 111.5729< 0.00001
Yes 99 (66.4)50 (33.6)149 (42.1)
No 25 (12.2)180 (87.8)205 (57.9)
Ever use tobacco 2.98580.083998
Yes 28 (44.4)35 (55.6)63 (17.8)
No 96 (33)195 (67)291 (82.2)
Current use of non-prescribed recreational drugs0.54890.458782
No 3 (25)9 (75)12 (3.4)
Yes 121 (35.4)221 (64.6)342 (96.6)

aValues are expressed as No. (%).

5. Discussion

This study revealed that the magnitude of mental distress was about 35.03%. This finding is lower than USA (57%) (7), Australia (53%) (6) and Malaysia (41.9%) (9) studies. This could be due to the socio-cultural and environmental factors difference between participants, and also lower than the study finding from Gondar University (40.9%) (12) and Adama University (21.6%) (15) Ethiopia. This might be due to the study time variation; the improvement of infrastructure and mental health service option provided by universities to the students in this time variation. However, the magnitude was higher than studies from French 25.7% (5), Canada (30%) (8) and Hargeisa, Somaliland (19.8%) (10), when compared within our country Universities, it is similar with the study done in the Addis Ababa University (32.6%) (16), Aksum University (39.6%) (14), and Hawassa University (30%) (13).

The magnitude of mental distress in our study was higher among female students as compared to their male students. The finding is similar with other studies at Aksum University (14), in Amritsar, Punjab, India (25), Hargeisa, Somaliland (10), and at the Kingdom of Saudi Arabia (22). This might be because of females able to express their emotions and high stress related to hormonal changes.

In this particular study history of mental illness in the family is strongly related with mental distress. This finding agrees with the study done in Gondar (12), Aksum University (14), and Adama (15). This might be due to the genetic causes of mental illness and stressful situations in the family.

This study shows that there is a significant relation between mental distress and ever use of a substance (chewing khat and drinking alcohol). A similar finding was reported from Hargeisa, Somaliland (10). This might be because of the high availability of khat in the area and the substance itself makes them vulnerable for mental distress.

Being the second year of study is significantly related with mental distress and consistent with the finding from Amritsar, Punjab, India (25) however it is not consistent with the findings of studies conducted in Adama (24) and Aksum (14). This might because of the environment they face and academic load (22).

Moreover, this study also identifies age and department choice has a significant association with mental distress at P < 0.05, which might result from thinking about their future career and payment and consistent with the finding from India (25), Saudi Arabia (22) and Aksum University (14).

This study also found that mental distress associated with religious practice, even though most literature didn’t consider religion as a variable. Students who were involved in the religious program, irrespective of what religion they follow, were less likely to develop mental distress, and consistent with studies done in Ethiopia (15, 29). This might be because of religious teachings and doctrines helps students with stress management. Furthermore, it facilitates the development different coping mechanisms.

In this study, parent marital condition, ethnicity, and substance use like tobacco smoking and current use of non-prescribed recreational drugs of the respondents were not associated with mental distress and similar findings reported (13, 16), but it needs investigating the time and process of parental relationship.

There were some limitations in this study it is difficult to know the cause-effect relationship because from its nature of the cross-sectional study and environmental factors which might affect mental distress not included in this study and it needs further study.

5.1. Conclusions

The prevalence of mental distress in this study was significantly high and it needs intervention and addressing the mentioned factors associated with mental distress.

Age, sex, year of study, the practice of religion, family history of mental illness, department choice, and ever use of substance (chat chewing and alcohol) has a significant association with mental distress.

Stress-prevention strategies for students who have any level of psychological stress are recommendable and helpful for them.

Footnotes

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