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Erschienen in: Annals of General Psychiatry 1/2019

Open Access 01.12.2019 | Primary research

Socio-demographic and substance-related factors associated with mental distress among Wollo university students: institution-based cross-sectional study

Erschienen in: Annals of General Psychiatry | Ausgabe 1/2019

Abstract

Background

The presence of mental distress among students affects their cognitive, emotional, physical, and interpersonal functioning. Besides, it predisposes to substance use problems and finally affects academic performance negatively. Therefore, this study was designed to estimate the magnitude and identify associated factors for the mental distress of students at Wollo University, Dessie, Ethiopia.

Methods

This institution-based cross-sectional survey assessed mental distress among 585 undergraduate students at Wollo University from April 10 to May 10/2019 using a multi-stage stratified sampling technique. Kessler-10 item scale was used to collect data about mental distress. Variables with p-value < 0.25 in bivariate logistic regression were pooled into a multi-variable logistic regression model and p-value < 0.05 in the multi-variable model was considered significant statistically. The strength of the relationship was interpreted using the odds ratio with 95% CI. The model adequacy in multi-variable regression was approved with Hosmer and Lemeshow goodness of fit test.

Results

Among 585 questionnaires distributed, 548 clear and completed questionnaires were included in the analysis with a response rate of 93.7%. The mental distress prevalence in the current study was 106 (19.3%). From this 65 (11.9%), 28 (5.1%), and 13 (2.4%) were found to be mild, moderate and severe mental distress respectively. Never attending a place of worship (AOR = 4.2, 95% CI 1.73, 10.39), family history of mental illness (AOR = 2.1, 95% CI 1.12, 3.95), current cigarette smoking (AOR = 3.2, 95% CI 1.69, 6.20), current alcohol use (AOR = 2.5, 95% CI 1.49, 4.25), and current cannabis use (AOR = 3.4, 95% CI 1.18, 9.57) were the associated factors for mental distress.

Conclusion

One in five students was affected by mental distress. Never attending a place of worship, family history of mental illness, current cigarette smoking, current alcohol use, and current cannabis use were the factors associated with it. Therefore, all stakeholders should be involved in overcoming this public health problem. Besides, clubs should be established in the university and have to play an active role in bringing behavioral change to substance use.
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Abkürzungen
AOR
adjusted odds ratio
CGPA
cumulative grade point average
OR
odds ratio
PHQ-9
Patient Health Questionnaire-9
SD
standard deviation
SPSS
Statistical Package for Social Science
SRQ-20
Self-reporting Questionnaire
USA
United States of America
WHO
World Health Organization

Background

Mental distress can be defined as a state of mind with vague manifestations of anxiety, depression as well as ranges of somatic symptoms like headache, backache, and disturbance of vegetative functions such as disturbed sleep [1, 2]. The contribution of mental disorders like mental distress to the burden of diseases and disability is alarmingly increasing globally. The latest reports from World Health Organization (WHO) showed that nearly 33.3% of the disability-adjusted life years in the world is due to psychiatric disorders of different type and of all population in the world, one in four individual is affected by a mental disorder [3]. Though little attention is given, African countries also take the highest share of mental distress and the contribution of mental distress to the burden of disease and disability in Africa has been documented to be 5% and 19%, respectively [4].
University students are at a higher risk of mental distress when compared to the general population [5] or their community counterparts [68] and the prevalence of mental distress in students varies widely in different countries and study periods. The Worldwide prevalence of mental distress among medical students was documented to be in a range of 25–90% [9, 10]. A study at Fayoum University showed that 62.4%, 64.3%, and 60.8% of students were found to have mental distress, anxiety, and depression, respectively [11]. Many other studies also revealed that mental distress was 39.7% (20.7% mild, 7.8% moderate, and 11.2% severe distress) in Canada [12], 50% in Singapore [13], 70% in Pakistan [14], 19.2% and 16.5% in Australia [8, 15], 41% in Malaysia [16], 52% in India [17] and 26.9% in Nigeria [18], 19.8% in Somaliland, 40.9%, 30% and 39.6% in Ethiopia [1921].
Many factors were identified so far that contribute to a higher prevalence of mental distress in university students [2226]. A study in France justified that female gender, alcohol abuse, smoking cigarette, and cyber addiction were contributing risks for mental distress [27]. Other studies also showed that a family history of mental illness was an associated factor for mental distress in students in Iraq [10], Pakistan [14], and Ethiopia [19, 28]. Besides, substance-related variables in France [27], Nepal [29] and Somaliland [30], Female gender in United States [26], Iran [10], Sweden [31], Australia [8] and Somaliland [30], poor worship practice in Ethiopia [19, 28] were some of the factors identified to account for mental distress in university students.
Mental distress affects many aspects of a student's life such as problems of interpersonal relationship, cognitive, physical, and emotional dysfunction, and inability to attain and sustain pleasure in life in many ways as well as increased test anxiety and poor-self-efficacy. This, in turn, will have a detrimental impact on the ability of students to study and finally will end in poor academic achievement; lowers student grades [8, 31, 32]. Above all, mental distress in students if not addressed timely will progress to more severe psychiatric disorders. Despite this, there is a poor help-seeking intention for mental distress among university students [3335].
However, little has been done in this area among university students in Ethiopia; even those studies done focused particularly on medical students [20, 36] and it might not be representative of other university students. Moreover, some of the studies are done in the long past and might not be consistent with the changing situation of university students at present. The aim of this study was therefore to assess the prevalence and factors associated with mental distress among students in Wollo University.

Methods and materials

Study design and setting

This institution-based cross-sectional survey was aimed to assess the magnitude of mental distress and identify the factors associated with it among undergraduate students in a regular study at Wollo University from April 10 to May 10/2019. This study was conducted at Wollo University, Dessie, Amhara Regional State, 400 km from the capital city of Ethiopia; Addis Ababa, in the Northeast of Ethiopia. Dessie is a low temperate area and its latitude and longitude location are 11°8′N and 39°38′E, respectively with an elevation between 2470 and 2550 m above sea level [37]. Wollo University, Dessie campus has 5 colleges, 2 schools and a total of 62 departments.

Participants

The number of undergraduate regular students enrolled in 2018/2019 in Dessie campus colleges, schools, and departments of Wollo University is 7248 and it was considered as the source population whereas the study population consisted of all undergraduate regular students from eighteen selected departments at final stage of multi-stage sampling and enrolled in 2018/ 2019 in the selected colleges. All students from selected departments present at the time of data collection were included while those who were absent and with impairment in the visual field were excluded.
The required sample size for this study was calculated using proportion formula for a single population and was found to be 585. The following assumptions were considered in the calculation procedure; Prevalence of mental distress among university students 41% from a previous study in Gondar University [19], the level of significance to be within 5% margin of error and 95% confidence level, correction formula has been used since the number of regular undergraduate students in 2019 at Wollo university (N) was 7248 which is < 10,000, 10% contingency for probable non-response and a design effect of 1.5 has been taken as multiple stages were involved in calculating sample size.
Multi-stage stratified sampling was adopted for this study according to the colleges and year level of the students. In the first stage, we selected randomly three colleges (college of medicine and health sciences, college of law and College of Natural science) using a lottery method. In the second stage, again lottery method was employed to select 18 departments from three colleges selected at first stage and finally, the proportional allocation was used to determine the number of students to be included from each department and study years.

Assessment of mental distress and its independent variables

Data were collected using structured pre-tested and self -administered questionnaires in the English language. The first section is the questionnaire for the assessment of socio-demographic (age, sex, residence, frequency of worship practice, and family history of mental illness) and academic-related variables (department choice, interest to one’s department, year of study, cumulative grade point average, and having a close friend at school) which were developed by investigators by reviewing previously published works.
The next section was the Kessler-10 psychological distress scale which is a measurement scale for mental distress [38]. This scale asses the following 10 elements in the past 4 weeks (About how often did you feel tired out for no good reason? about how often did you feel nervous? about how often did you feel so nervous that nothing could calm you down?, about how often did you feel hopeless?, about how often did you feel restless or fidgety?, about how often did you feel so restless you could not sit still?, about how often did you feel depressed?, about how often did you feel that everything was an effort?, about how often did you feel so sad that nothing could cheer you up? and about how often did you feel worthless?) each element with a five-level response scale ranging from score1 (none of the time) to score 5 (all of the time). Scores of the 10 elements are then summed, providing a minimum total score of 10 and a maximum score of 50.
A score of 10–19 was considered normal, 20–24 likely to have mild distress, 25–29 a moderate distress, and 30–50 was considered as severe distress with an overall score of 20 suggesting mental distress [38]. The internal consistency of the Kessler-10 psychological distress scale in the present study was checked with a reliability assessment and was found to be 0.86. This scale has been utilized in many previous studies in Ethiopia [3941]. The last section consisted of questions for the assessment of substance-related variables (khat, alcohol, cigarette, and cannabis) [42]. Data collectors were trained BSc nurses and two MSc in mental health professionals and the principal investigator were closely monitoring the data collection process. A pre-test has been implemented on 28 regular undergraduate students a week before the main data collection period and the result was not part of the final survey.

Data management methods

After the distributed questionnaires were collected back, the task done was exploring and checking for its completeness as well as data cleaning. Consequently, complete data were entered to epi-info version-7 and analyzed using SPSS version 20 software package. Descriptive statistics were done to illustrate the distribution of socio-demographic, academic and substance use characteristics of the study participants. The association of mental distress with its independent variables was assessed using binary logistic regression. All independent variables with p-value < 0.25 in bivariate logistic regression were pooled into a multi-variate logistic regression model and p-value < 0.05 in the final model was considered statistically significant.
The strength of the relationship between mental distress and its correlates was interpreted using AORs with 95% CI. The model adequacy in final multi-variable regression was approved with Hosmer and Lemeshow goodness of fit test.

Ethical considerations

This research was conducted after obtaining an official ethical clearance from the Ethical institutional review committee of Wollo University. An official letter from Wollo University Psychiatry department was written to the university academic vice president office to get permission for data collection. Finally, a permission letter from the university academic vice president office was received. Purpose and importance of the study were explained to the study participants and written informed consent was obtained from participants before starting the data collection. Confidentiality of the data was assured by keeping anonymous procedures throughout the research work.

Results

Socio-demographic and academic-related characteristics of Wollo university regular undergraduate students

Out of the total 585 questionnaires distributed to students for data collection, 548 were collected back and responded with complete data making the response rate to be 90.9%. The mean (± SD) age of the participant students was 21.4 (± 1.82) years and more than half (62.6%) of the students were above mean age. Nearly half, 291 (53.1%), were males. About 343 (62.6%) of participants have satisfactory results based on the CGPA score. The proportion of students in the first, second, third and fourth year were 33.8%, 26.5%, 31.9, and 8%, respectively. The majority of students, 441 (80.5%), have close friends and 70 (12.8) have a history of mental illness. One hundred twenty-five (22.8%) of participated students joined their department without their choice and 82 (15%) are not interested in their department currently (Table 1).
Table 1
Description of socio-demographic and academic-related characteristics among Wollo university regular undergraduate students, Dessie, Ethiopia, 2019 (n = 548)
Independent variables
Category
Frequency (n)
Percentage (%)
Age in years
 ≤ 21 years
205
37.4
 > 21 years
343
62.6
Sex
Male
291
53.1
Female
257
46.9
Department choice
Preferred
423
77.2
Not preferred
125
22.8
Interest to their department
Interested
466
85.0
Not interested
82
15.0
Year of study
First
184
33.6
Second
145
26.5
Third
175
31.9
Fourth
44
8.0
CGPA
Satisfactory
343
62.6
Distinction
57
10.4
Great Distinction
94
17.2
Very Great Distinction
54
9.9
Living area
In the compound
496
90.5
Out of the compound
50
9.1
Residence
Urban
304
55.5
Rural
244
44.5
Frequency of worship practice
Daily
245
44.7
2–3 times per week
144
26.3
Once a week
70
12.8
Less than weekly
59
10.8
Never
30
5.5
Having close friends
Yes
441
80.5
No
107
19.5
Family history of mental illness
Yes
70
12.8
No
478
87.2
CGPA cumulative grade point average
From all university students participated in current study, 139 (25.4%) have been using alcohol in the past one month, 104 (19%) have been using khat, and 22 (4%) had been entertained in using cannabis (hashish) during the last one month of study period (Table 2).
Table 2
Substance use characteristics of Wollo university regular undergraduate students, Dessie, Ethiopia, 2019 (n = 548)
Independent variables
Category
Frequency (n)
Percent (%)
Current khat use
Yes
104
19.0
No
444
81.0
Current cigarette use
Yes
62
11.3
No
486
88.7
Current alcohol use
Yes
139
25.4
No
409
74.6
Current cannabis use
Yes
22
4.0
No
526
96.0
Current khat use: use of khat in the last one month
Current cigarette use: smoking cigarette in the last one month
Current alcohol use: use of beer, tella, areki, or wine in the last one month
Current cannabis use: use of cannabis (hashish) in the last one month

Prevalence of mental distress among Wollo university regular undergraduate students

Mental distress among students in this study was assessed with Kessler-10 mental distress scale with a score of 20–24, 25–29, and 30–50 indicating mild, moderate, and severe mental distress respectively which means that a score of 20 and above on Kessler-10 mental distress scale indicates mental distress and a score of less than 19 on Kessler-10 was considered as not having mental distress. The prevalence of mental distress among Wollo university undergraduate students in this study was 106 (19.3%) with 95% CI (16.10, 22.80). From this, 65 (11.9%), 28 (5.1%), and 13 (2.4%) of participants were found to have mild, moderate, and severe mental distress, respectively (Fig. 1). The mean value of prevalence of mental distress in this study was 12.94 with a standard deviation (SD) and variance of 8.18 and 66.99, respectively.
The prevalence of mental distress among males is 19.6% and females 19% but this difference is not statistically supported (AOR = 1.46 95% CI (0.86, 2.47). The highest prevalence of psychological distress was noticed among freshman students (Fig. 2). Considering specific mental distress symptoms about 112 (20.4%), 77 (14.1%), and 72 (13.1%) of students feel that everything was an effort, feel restless/fidgety, and feel depressed, respectively most of the time in the past 4 weeks of data collection (Table 3).
Table 3
One month Prevalence of mental distress symptoms among Wollo University regular undergraduate students, Dessie, Ethiopia, 2019 (n = 548)
No
Feeling symptom domain in the past 4 weeks (Kessler-10 elements)
Frequency (%) of participants with the symptom
All of the time (score 5)
Most of the time (score 4)
Some of the time (score 3)
A little of the time (score 2)
None of the time (score 1)
1
About how often did you feel tired out for no good reason?
28 (5.1%)
66 (12%)
136 (24.5%)
167 (30.5%)
151 (27.6%)
2
About how often did you feel nervous?
19 (3.5%)
58 (10.6%)
145 (26.5%)
147 (26.8%)
179 (32.7%)
3
About how often did you feel so nervous that nothing could calm you down?
24 (4.4%)
50 (9.1%)
112 (20.4%)
152 (27.7%)
210 (38.3%)
4
About how often did you feel hopeless?
26 (4.8%)
45 (8.2%)
102 (18.6%)
159 (29.0%)
216 (39.4%)
5
About how often did you feel restless or fidgety?
33 (6%)
77 (14.1%)
118 (21.5%)
153 (27.9%)
167 (30.5%)
6
About how often did you feel so restless you could not sit still?
28 (5.1%)
63 (11.5%)
130 (23.7%)
136 (24.8%)
191 (34.9%)
7
About how often did you feel depressed?
22 (4%)
72 (13.1%)
123 (22.4%)
175 (31.9%)
156 (28.5%)
8
About how often did you feel that everything was an effort?
62 (11.3%)
112 (20.4%)
118 (21.5%)
117 (21.4%)
139 (25.4%)
9
About how often did you feel so sad that nothing could cheer you up?
8 (1.5%)
53 (9.7%)
123 (22.4%)
200 (36.5%)
164 (29.9%)
10
About how often did you feel worthless?
25 (4.6%)
63 (11.5%)
101 (18.4%)
159 (29%)
200 (36.5%)

Socio-demographic, academic as well as substance-related factors associated with mental distress among Wollo university students.

Age, department choice, interest to one’s department, living area, cumulative GPA, frequency of attending worship, having close friend, family history of mental illness, using chat, smoking cigarette, alcohol use, and cannabis use within the past one month of data collection were found to have a p-value of < 0.25 in bivariate logistic regression analysis and thus fitted to multi-variable regression.
However, only never attending a place of worship (AOR = 4.2, 95% CI 1.73, 10.39), family history of mental illness (AOR = 2.1,95% CI 1.12, 3.95) current cigarette smoking (AOR = 3.2, 95% CI 1.69, 6.20), current alcohol use (AOR = 2.5,95% CI 1.49, 4.25), and current cannabis use (AOR = 3.4, 95% CI 1.18, 9.57) were found to be associated factors for mental distress with p-value < 0.05 in multi-variable analysis.
Even though, lack of interest to field of study (COR = 1.5, 95% CI 0.89, 2.67), having no close friend (COR = 1.5, 95% CI 0.94, 2.55), and current chat use (COR = 3.4, 95% CI 2.10, 5.43) revealed a higher odds of mental distress on bivariate analysis, this was not significant in multi-variable analysis. The multicollinearity diagnosis was done and Collinearity is not a problem of the current study as Variance inflation factor (VIF) is < 10 for all independent variables included in the multi-variable model (Table 4).
Table 4
A Bivariate and multi-variable Logistic Regression analysis table that shows the associations between mental distress and it’s socio-demographic and substance-related factors among Wollo university regular undergraduate students, Dessie, Ethiopia, 2019 (n = 548)
Independent variables
Category
Mental distress
COR (95% CI)
AOR (95% CI)
Yes
No
Age in years
Below mean (< 21)
50
155
Reference
Reference
Above mean (≥ 21)
56
287
0.6 (0.39, 0.93)
0.52 (0.32, 0.85)
M89 Department of choice
Preferred
72
351
Reference
Reference
Not preferred
34
91
0.55 (0.34, 0.88)
0.7 (0.35, 1.42)
CGPA
≥ 3.1
69
244
Reference
Reference
≤ 3.00
37
198
0.66 (0.42, 1.03)
0.62 (0.38, 1.01)
Having close friends
Yes
79
362
Reference
Reference
No
27
80
1.5 (0.94,2.55)
1.54 (0.88, 2.71)
Frequency of attending a place of worship
Daily
45
200
Reference
Reference
2-3 times/week
17
127
0.59 (0.33, 1.08)
0.47 (0.24, 0.89)
Once a week
16
54
1.32 (0.69, 2.51)
0.87 (0.43, 1.79)
Less than a week
11
48
1.02 (0.49, 2.12)
0.69 (0.31, 1.54)
Never
17
13
5.8 (2.63, 12.82)
4.2 (1.73, 10.39)**
Family hx of MI
Yes
22
48
2.2 (1.22, 3.75)
2.1 (1.12, 3.95)*
No
84
394
Reference
Reference
Current cigarette smoking
Yes
32
30
5.9 (3.41, 10.36)
3.2 (1.69, 6.20)***
No
74
412
Reference
Reference
Current alcohol use
Yes
48
92
3.0 (1.94, 4.74)
2.5 (1.49, 4.25)***
No
59
350
Reference
Reference
Current cannabis use
Yes
13
9
6.7 (2.79, 16.19)
3.4 (1.18, 9.57)*
No
93
433
Reference
Reference
CGPA cumulative grade point average, Family hx of MI family history of mental illness
Hosmer and lemshow goodness of fit test: chi-square = 3.85, df = 7 and p-value = 0.79
* Significant at p-value < 0.05 in multi-variable logistic regression
** Significant at p-value < 0.01 in multi-variable logistic regression
*** Significant at p-value < 0.001 in multi-variable logistic regression

Discussion

To investigators' knowledge, this study is the first to assess the magnitude and associated factors of mental distress among university students in Ethiopia using the Kessler-10 item mental distress assessment scale. This might make it an important overview of magnitude as well as factors associated with mental distress in students in Ethiopia.
Out of 585 university students, 106 (19.3%); 95% CI (16.10, 22.80) had mental distress in this survey. At most 22.8% (upper bound of the 95% CI) of the university students included in this survey had suffered from mental distress within the 4 weeks before data collection. Considering severity, 65 (11.9%), 28 (5.1%), and 13 (2.4%) of study subjects were with mild, moderate, and severe mental distress, respectively.
A lower magnitude of mental distress was obtained in the current study as compared to a study conducted at Canadian university among medical students and residents, in which the prevalence of mental distress was found to be 39.7% (20.7% mild, 7.8% moderate, and 11.2% severe distress [12]. It is also lower than results of earlier studies which found that mental distress among university students was 50% in Singapore [13], 70% in Pakistan [14], 61.3% in Iraq [10] and 41% in Malaysia [16], 52% in India [17] and 26.9% in Nigeria [18] and 40.9%, 30%, and 39.6% in Ethiopia [1921].
On the contrary, this study was higher than a study finding from Michigan; the USA in which only 15.6% of students have emotional distress [43] and 10.8% in Kenya [44]. The difference in prevalence between the current study and the above-mentioned studies might be due to differences in socio-economic, environmental, and behavioral risk factors. Besides, cultural factors in which mental illness is stigmatized by society in low-income countries like Ethiopia may hinder the help-seeking intention and practice of students, thus increasing the prevalence of mental distress. Also, most of the previous studies were conducted among medical students and it might be the stress full nature of medical study due to the high workload which increased the prevalence. Moreover, most of the previous studies used SRQ-20 and the current study used the Kessler-10 distress scale to screen mental distress and sample size variation might account for the difference in prevalence.
However, a result of this survey is consistent with studies in Australian universities (19.2%) [8] and 16.5% [15], 19.8% in Somaliland [30] and 21.6% in Ethiopia [28]. In the current study feeling that “everything was an effort”, feel restless/ fidgety and feel depressed was the mental distress symptoms complained most of the time by students within the past 4 weeks of study. This was more or less consistent with an Australian study at which the symptoms contributing most to mental distress were found to be feeling tired, ‘everything being an effort and being nervous [15].
In the current study, never attending a place of worship was a risk factor for mental distress. No matter how University students follow any type of religion, those students who never attend worship programs were 4.2 times more risky to developmental distress than students who attend worship programs daily. Supportive evidence for this was also found in studies from Adama [28] and Gondar [19]. The possible reason for this would be religion practice builds the highest strength in life and those with good religious practice will have good coping mechanisms from stressful events and factors [45, 46].
A family history of mental illness was also a determinant variable showing a positive association with mental distress in this study. Students who have a family member with mental illness were almost 2 times more likely to have mental distress as compared to those who have no family history of mental illness. These premises are supported by similar findings from studies conducted in Iraq [10], Pakistan [14], Adama [28], and Gondar [19]. Genetic predisposition, and the socio-economic as well as psychological burden caused by the mental illness of family members and care for it, might contribute to such a higher magnitude of mental distress [19].
In this study, current cigarette smoking, current alcohol use as well as current cannabis use were found to have a significant association with mental distress. University students included in current study and who were smoking cigarette, drinking alcohol and using cannabis within the past 4 weeks of study was 3.2, 2.5, and 3.4 times more likely to have a problem of mental distress as compared to those students who did not smoke cigarette, did not drink alcohol and did not use cannabis in the specified time period above respectively. Supportive findings for these were from a study in France [27], Nepal [29], Somaliland [30], and Gondar [19]. This might be due to multi-dimensional effects of substance use like a disturbance in the sleep–wake cycle, dependent producing effects of substances thus causing withdrawal, disturbing interpersonal relationships, increased class absence, and finally leading to poor academic achievement and development of mental distress [47].
Even though, female sex was not found to have a significant association with mental distress in current study, previous studies in the United States [26], Iran [10], Sweden [31], Australia [8], Somaliland [30], and Gondar [19] showed an association between sex (being female) and mental distress in university students. The reason for this could be because, biologically females are predisposed to affective disorders, hormonal factors, and violence from environmental factors [48].

Limitations

We should keep in mind the limitations of this study in analyzing, and utilizing its results. The primary limitation rose from the cross-sectional nature of study making causal inference difficult. So, further follow up studies that can solve this problem should be considered. Next, a lack of a dedicated instrument for the assessment of substance-related variables which are found to be associated factors for mental distress should be emphasized.

Conclusion

One in five undergraduate regular students in Wollo University has been affected by mental distress as per the result of this study and never attending a place of worship, family history of mental illness, current cigarette smoking, current alcohol use as well as current cannabis use were its risk factors. Therefore, all stakeholders should emphasize this problem and strive to overcome it, since otherwise mental distress affects cognitive, emotional as well as interpersonal functioning and academic performance. Besides clubs regarding behavioral and substance-related issues should be established in the university and have to play an active role in bringing behavioral change to substance use.

Acknowledgements

First, we would like to express our gratitude to Wollo University for the technical support provided when needed, and then students who supplied the data for this work genuinely and data collectors are provided with our special gratitude.
This research was conducted after obtaining an official ethical clearance from the Ethical institutional review committee of Wollo University. Also, an official letter from Wollo University Psychiatry department was written to the university academic vice president office to get permission for collecting data. Finally, a permission letter from the university academic vice president office was received. The purpose and importance of the study were explained to the study participants and written informed consent was obtained from them. Confidentiality of the data was assured by keeping anonymous procedures throughout the research work.
Not applicable.

Competing interests

The authors declared that they have no competing interests.
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Literatur
1.
Zurück zum Zitat Bao Giang K, Viet Dzung T, Kullgren G, Allebeck P. Prevalence of mental distress and use of health services in a rural district in Vietnam. Global Health Action. 2010;3(1):2025.CrossRef Bao Giang K, Viet Dzung T, Kullgren G, Allebeck P. Prevalence of mental distress and use of health services in a rural district in Vietnam. Global Health Action. 2010;3(1):2025.CrossRef
2.
Zurück zum Zitat Rocha SV, Almeida MMG, Araújo TM, Virtuoso JS. Prevalence of common mental disorders among the residents of urban areas in Feira de Santana Bahia. Rev Brasil Epidemiol. 2010;13(4):630–40.CrossRef Rocha SV, Almeida MMG, Araújo TM, Virtuoso JS. Prevalence of common mental disorders among the residents of urban areas in Feira de Santana Bahia. Rev Brasil Epidemiol. 2010;13(4):630–40.CrossRef
3.
Zurück zum Zitat Demyttenaere K, Bruffaerts R, Posada-Villa J, Gasquet I, Kovess V, Lepine J, et al. Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. JAMA. 2004;291(21):2581–90.PubMedCrossRef Demyttenaere K, Bruffaerts R, Posada-Villa J, Gasquet I, Kovess V, Lepine J, et al. Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. JAMA. 2004;291(21):2581–90.PubMedCrossRef
4.
Zurück zum Zitat Amuyunzu-Nyamongo M. The social and cultural aspects of mental health in African societies. Commonwealth Health Partnerships. 2013;2013:59–63. Amuyunzu-Nyamongo M. The social and cultural aspects of mental health in African societies. Commonwealth Health Partnerships. 2013;2013:59–63.
5.
Zurück zum Zitat Svanum S, Zody ZB. Psychopathology and college grades. J Counsel Psychol. 2001;48(1):72.CrossRef Svanum S, Zody ZB. Psychopathology and college grades. J Counsel Psychol. 2001;48(1):72.CrossRef
6.
Zurück zum Zitat Cvetkovski S, Reavley NJ, Jorm AF. The prevalence and correlates of psychological distress in Australian tertiary students compared to their community peers. Aust N Z J Psychiatry. 2012;46(5):457–67.PubMedCrossRef Cvetkovski S, Reavley NJ, Jorm AF. The prevalence and correlates of psychological distress in Australian tertiary students compared to their community peers. Aust N Z J Psychiatry. 2012;46(5):457–67.PubMedCrossRef
7.
Zurück zum Zitat Leahy CM, Peterson RF, Wilson IG, Newbury JW, Tonkin AL, Turnbull D. Distress levels and self-reported treatment rates for medicine, law, psychology and mechanical engineering tertiary students: cross-sectional study. Aust N Z J Psychiatry. 2010;44(7):608–15.PubMedCrossRef Leahy CM, Peterson RF, Wilson IG, Newbury JW, Tonkin AL, Turnbull D. Distress levels and self-reported treatment rates for medicine, law, psychology and mechanical engineering tertiary students: cross-sectional study. Aust N Z J Psychiatry. 2010;44(7):608–15.PubMedCrossRef
8.
Zurück zum Zitat Stallman HM. Psychological distress in university students: a comparison with general population data. Aust Psychol. 2010;45(4):249–57.CrossRef Stallman HM. Psychological distress in university students: a comparison with general population data. Aust Psychol. 2010;45(4):249–57.CrossRef
9.
Zurück zum Zitat Sherina M, Rampal L, Kaneson N. Psychological stress among undergraduate medical students. Med J Malaysia. 2004;59(2):207–11.PubMed Sherina M, Rampal L, Kaneson N. Psychological stress among undergraduate medical students. Med J Malaysia. 2004;59(2):207–11.PubMed
10.
Zurück zum Zitat Koochaki G, Charkazi A, Hasanzadeh A, Saedani M, Qorbani M, Marjani A. Prevalence of stress among Iranian medical students: a questionnaire survey. East Mediter Health J. 2011;17(7):593–8.CrossRef Koochaki G, Charkazi A, Hasanzadeh A, Saedani M, Qorbani M, Marjani A. Prevalence of stress among Iranian medical students: a questionnaire survey. East Mediter Health J. 2011;17(7):593–8.CrossRef
11.
Zurück zum Zitat Yusoff MSB, Rahim AFA, Baba AA, Ismail SB, Pa MN. Prevalence and associated factors of stress, anxiety and depression among prospective medical students. Asian J Psychiatry. 2013;6(2):128–33.CrossRef Yusoff MSB, Rahim AFA, Baba AA, Ismail SB, Pa MN. Prevalence and associated factors of stress, anxiety and depression among prospective medical students. Asian J Psychiatry. 2013;6(2):128–33.CrossRef
12.
Zurück zum Zitat Matheson KM, Barrett T, Landine J, McLuckie A, Soh NL, Walter G. Experiences of psychological distress and sources of stress and support during medical training: a survey of medical students. Acad Psychiatry. 2016;40(1):63–8.PubMedCrossRef Matheson KM, Barrett T, Landine J, McLuckie A, Soh NL, Walter G. Experiences of psychological distress and sources of stress and support during medical training: a survey of medical students. Acad Psychiatry. 2016;40(1):63–8.PubMedCrossRef
13.
Zurück zum Zitat Ko S, Kua E, Fones C. Stress and the undergraduates. Singapore Med J. 1999;40(10):627–30.PubMed Ko S, Kua E, Fones C. Stress and the undergraduates. Singapore Med J. 1999;40(10):627–30.PubMed
14.
Zurück zum Zitat Khan MS, Mahmood S, Badshah A, Ali SU, Jamal Y. Prevalence of depression, anxiety and their associated factors among medical students in Karachi, Pakistan. J Pak Med Assoc. 2006;56(12):583.PubMed Khan MS, Mahmood S, Badshah A, Ali SU, Jamal Y. Prevalence of depression, anxiety and their associated factors among medical students in Karachi, Pakistan. J Pak Med Assoc. 2006;56(12):583.PubMed
15.
Zurück zum Zitat Mulder AM, Cashin A. Health and wellbeing in students with very high psychological distress from a regional Australian university. Adv Mental Health. 2015;13(1):72–83.CrossRef Mulder AM, Cashin A. Health and wellbeing in students with very high psychological distress from a regional Australian university. Adv Mental Health. 2015;13(1):72–83.CrossRef
16.
Zurück zum Zitat MohdSidik S, Rampal L, Kaneson N. Prevalence of emotional disorders among medical students in a Malaysian university. Asia Pacific Fam Med. 2003;2(4):213–7.CrossRef MohdSidik S, Rampal L, Kaneson N. Prevalence of emotional disorders among medical students in a Malaysian university. Asia Pacific Fam Med. 2003;2(4):213–7.CrossRef
17.
Zurück zum Zitat Kawa MH, Shafi H. Evaluation of internet addiction and psychological distress among university students. Int J Mod Soc Sci. 2015;4(1):29–41. Kawa MH, Shafi H. Evaluation of internet addiction and psychological distress among university students. Int J Mod Soc Sci. 2015;4(1):29–41.
18.
Zurück zum Zitat Uwadiae E, Osasona S. Psychological distress amongst undergraduate students of a Nigerian University. Cent Afr J Med. 2016;62(5–8):42–8. Uwadiae E, Osasona S. Psychological distress amongst undergraduate students of a Nigerian University. Cent Afr J Med. 2016;62(5–8):42–8.
19.
Zurück zum Zitat Dachew BA, Bisetegn TA, Gebremariam RB. Prevalence of mental distress and associated factors among undergraduate students of University of Gondar, Northwest Ethiopia: a cross-sectional institutional based study. PLoS ONE. 2015;10(3):e0119464.PubMedPubMedCentralCrossRef Dachew BA, Bisetegn TA, Gebremariam RB. Prevalence of mental distress and associated factors among undergraduate students of University of Gondar, Northwest Ethiopia: a cross-sectional institutional based study. PLoS ONE. 2015;10(3):e0119464.PubMedPubMedCentralCrossRef
20.
Zurück zum Zitat Melese B, Bayu B, Wondwossen F, Tilahun K, Lema S, Ayehu M, et al. Prevalence of mental distress and associated factors among Hawassa University medical students, Southern Ethiopia: a cross-sectional study. BMC Res Notes. 2016;9(1):485.PubMedPubMedCentralCrossRef Melese B, Bayu B, Wondwossen F, Tilahun K, Lema S, Ayehu M, et al. Prevalence of mental distress and associated factors among Hawassa University medical students, Southern Ethiopia: a cross-sectional study. BMC Res Notes. 2016;9(1):485.PubMedPubMedCentralCrossRef
21.
Zurück zum Zitat Tesfahunegn TB, Gebremariam EH. Mental distress and associated factors among Aksum University students, Ethiopia: a cross-sectional study. BMC Psychiatry. 2019;19(1):71.PubMedPubMedCentralCrossRef Tesfahunegn TB, Gebremariam EH. Mental distress and associated factors among Aksum University students, Ethiopia: a cross-sectional study. BMC Psychiatry. 2019;19(1):71.PubMedPubMedCentralCrossRef
22.
Zurück zum Zitat Wynaden D, Wichmann H, Murray S. A synopsis of the mental health concerns of university students: results of a text-based online survey from one Australian university. Higher Educ Res Dev. 2013;32(5):846–60.CrossRef Wynaden D, Wichmann H, Murray S. A synopsis of the mental health concerns of university students: results of a text-based online survey from one Australian university. Higher Educ Res Dev. 2013;32(5):846–60.CrossRef
23.
Zurück zum Zitat Bore M, Pittolo C, Kirby D, Dluzewska T, Marlin S. Predictors of psychological distress and well-being in a sample of Australian undergraduate students. Higher Educ Res Dev. 2016;35(5):869–80.CrossRef Bore M, Pittolo C, Kirby D, Dluzewska T, Marlin S. Predictors of psychological distress and well-being in a sample of Australian undergraduate students. Higher Educ Res Dev. 2016;35(5):869–80.CrossRef
24.
Zurück zum Zitat Bayati A, Beigi M, Salehi M. Depression prevalence and related factors in Iranian students. Pak J Biol Sci. 2009;12(20):1371–5.PubMedCrossRef Bayati A, Beigi M, Salehi M. Depression prevalence and related factors in Iranian students. Pak J Biol Sci. 2009;12(20):1371–5.PubMedCrossRef
25.
Zurück zum Zitat Niemz K, Griffiths M, Banyard P. Prevalence of pathological Internet use among university students and correlations with self-esteem, the General Health Questionnaire (GHQ), and disinhibition. Cyberpsychol Behav. 2005;8(6):562–70.PubMedCrossRef Niemz K, Griffiths M, Banyard P. Prevalence of pathological Internet use among university students and correlations with self-esteem, the General Health Questionnaire (GHQ), and disinhibition. Cyberpsychol Behav. 2005;8(6):562–70.PubMedCrossRef
26.
Zurück zum Zitat Storrie K, Ahern K, Tuckett A. A systematic review: students with mental health problems—a growing problem. Int J Nurs Pract. 2010;16(1):1–6.PubMedCrossRef Storrie K, Ahern K, Tuckett A. A systematic review: students with mental health problems—a growing problem. Int J Nurs Pract. 2010;16(1):1–6.PubMedCrossRef
27.
Zurück zum Zitat Tavolacci MP, Ladner J, Grigioni S, Richard L, Villet H, Dechelotte P. Prevalence and association of perceived stress, substance use and behavioral addictions: a cross-sectional study among university students in France, 2009–2011. BMC public health. 2013;13(1):724.PubMedPubMedCentralCrossRef Tavolacci MP, Ladner J, Grigioni S, Richard L, Villet H, Dechelotte P. Prevalence and association of perceived stress, substance use and behavioral addictions: a cross-sectional study among university students in France, 2009–2011. BMC public health. 2013;13(1):724.PubMedPubMedCentralCrossRef
28.
Zurück zum Zitat Dessie Y, Ebrahim J, Awoke T. Mental distress among university students in Ethiopia: a cross sectional survey. Pan Afr Med J. 2013;15(1):95.PubMedPubMedCentral Dessie Y, Ebrahim J, Awoke T. Mental distress among university students in Ethiopia: a cross sectional survey. Pan Afr Med J. 2013;15(1):95.PubMedPubMedCentral
29.
Zurück zum Zitat Gyawali B, Choulagai BP, Paneru DP, Ahmad M, Leppin A, Kallestrup P. Prevalence and correlates of psychological distress symptoms among patients with substance use disorders in drug rehabilitation centers in urban Nepal: a cross-sectional study. BMC Psychiatry. 2016;16(1):314.PubMedPubMedCentralCrossRef Gyawali B, Choulagai BP, Paneru DP, Ahmad M, Leppin A, Kallestrup P. Prevalence and correlates of psychological distress symptoms among patients with substance use disorders in drug rehabilitation centers in urban Nepal: a cross-sectional study. BMC Psychiatry. 2016;16(1):314.PubMedPubMedCentralCrossRef
30.
Zurück zum Zitat Hersi L, Tesfay K, Gesesew H, Krahl W, Ereg D, Tesfaye M. Mental distress and associated factors among undergraduate students at the University of Hargeisa, Somaliland: a cross-sectional study. Int J Ment Health Syst. 2017;11(1):39.PubMedPubMedCentralCrossRef Hersi L, Tesfay K, Gesesew H, Krahl W, Ereg D, Tesfaye M. Mental distress and associated factors among undergraduate students at the University of Hargeisa, Somaliland: a cross-sectional study. Int J Ment Health Syst. 2017;11(1):39.PubMedPubMedCentralCrossRef
31.
Zurück zum Zitat Dahlin M, Joneborg N, Runeson B. Stress and depression among medical students: a cross-sectional study. Med Educ. 2005;39(6):594–604.PubMedCrossRef Dahlin M, Joneborg N, Runeson B. Stress and depression among medical students: a cross-sectional study. Med Educ. 2005;39(6):594–604.PubMedCrossRef
32.
Zurück zum Zitat Verger P, Guagliardo V, Gilbert F, Rouillon F, Kovess-Masfety V. Psychiatric disorders in students in six French universities: 12-month prevalence, comorbidity, impairment and help-seeking. Soc Psychiatry Psychiatr Epidemiol. 2010;45(2):189–99.PubMedCrossRef Verger P, Guagliardo V, Gilbert F, Rouillon F, Kovess-Masfety V. Psychiatric disorders in students in six French universities: 12-month prevalence, comorbidity, impairment and help-seeking. Soc Psychiatry Psychiatr Epidemiol. 2010;45(2):189–99.PubMedCrossRef
33.
Zurück zum Zitat Alzahem A, VanderMolen H, Alaujan A, Schmidt H, Zamakhshary M. Stress amongst dental students: a systematic review. Eur J Dent Educ. 2011;15(1):8–18.PubMedCrossRef Alzahem A, VanderMolen H, Alaujan A, Schmidt H, Zamakhshary M. Stress amongst dental students: a systematic review. Eur J Dent Educ. 2011;15(1):8–18.PubMedCrossRef
34.
Zurück zum Zitat Galbraith ND, Brown KE. Assessing intervention effectiveness for reducing stress in student nurses: quantitative systematic review. J Adv Nurs. 2011;67(4):709–21.PubMedCrossRef Galbraith ND, Brown KE. Assessing intervention effectiveness for reducing stress in student nurses: quantitative systematic review. J Adv Nurs. 2011;67(4):709–21.PubMedCrossRef
35.
Zurück zum Zitat Tyssen R, Vaglum P, Grønvold NT, Ekeberg O. Factors in medical school that predict postgraduate mental health problems in need of treatment A nationwide and longitudinal study. Med Educ. 2001;35(2):110–20.PubMedCrossRef Tyssen R, Vaglum P, Grønvold NT, Ekeberg O. Factors in medical school that predict postgraduate mental health problems in need of treatment A nationwide and longitudinal study. Med Educ. 2001;35(2):110–20.PubMedCrossRef
36.
Zurück zum Zitat Alem A, Araya M, Melaku Z, Wendimagegn D, Abdulahi A. Mental distress in medical students of Addis Ababa University. Ethiop Med J. 2005;43(3):159–66.PubMed Alem A, Araya M, Melaku Z, Wendimagegn D, Abdulahi A. Mental distress in medical students of Addis Ababa University. Ethiop Med J. 2005;43(3):159–66.PubMed
37.
Zurück zum Zitat Chelkeba L. Antihypertension medication adherence and associated factors at Dessie hospital, north East Ethiopia. Ethiopia. Int J Res Med Sci. 2013;1(3):191–7. Chelkeba L. Antihypertension medication adherence and associated factors at Dessie hospital, north East Ethiopia. Ethiopia. Int J Res Med Sci. 2013;1(3):191–7.
38.
Zurück zum Zitat Andrews G, Slade T. Interpreting scores on the Kessler psychological distress scale (K10). Aust N Z J Public Health. 2001;25(6):494–7.PubMedCrossRef Andrews G, Slade T. Interpreting scores on the Kessler psychological distress scale (K10). Aust N Z J Public Health. 2001;25(6):494–7.PubMedCrossRef
39.
Zurück zum Zitat Tadegge AD. The mental health consequences of intimate partner violence against women in Agaro Town, southwest Ethiopia. Trop Doct. 2008;38(4):228–9.PubMedCrossRef Tadegge AD. The mental health consequences of intimate partner violence against women in Agaro Town, southwest Ethiopia. Trop Doct. 2008;38(4):228–9.PubMedCrossRef
40.
Zurück zum Zitat Hanlon C, Medhin G, Selamu M, Breuer E, Worku B, Hailemariam M, et al. Validity of brief screening questionnaires to detect depression in primary care in Ethiopia. J Affect Disord. 2015;186:32–9.PubMedCrossRef Hanlon C, Medhin G, Selamu M, Breuer E, Worku B, Hailemariam M, et al. Validity of brief screening questionnaires to detect depression in primary care in Ethiopia. J Affect Disord. 2015;186:32–9.PubMedCrossRef
41.
Zurück zum Zitat Fekadu A, Medhin G, Selamu M, Hailemariam M, Alem A, Giorgis TW, et al. Population level mental distress in rural Ethiopia. BMC Psychiatry. 2014;14(1):194.PubMedPubMedCentralCrossRef Fekadu A, Medhin G, Selamu M, Hailemariam M, Alem A, Giorgis TW, et al. Population level mental distress in rural Ethiopia. BMC Psychiatry. 2014;14(1):194.PubMedPubMedCentralCrossRef
42.
Zurück zum Zitat Humeniuk R, Ali R, Babor TF, Farrell M, Formigoni ML, Jittiwutikarn J, et al. Validation of the alcohol, smoking and substance involvement screening test (ASSIST). Addiction. 2008;103(6):1039–47.PubMedCrossRef Humeniuk R, Ali R, Babor TF, Farrell M, Formigoni ML, Jittiwutikarn J, et al. Validation of the alcohol, smoking and substance involvement screening test (ASSIST). Addiction. 2008;103(6):1039–47.PubMedCrossRef
43.
Zurück zum Zitat Eisenberg D, Gollust SE, Golberstein E, Hefner JL. Prevalence and correlates of depression, anxiety, and suicidality among university students. Am J Orthopsychiatry. 2007;77(4):534–42.PubMedCrossRef Eisenberg D, Gollust SE, Golberstein E, Hefner JL. Prevalence and correlates of depression, anxiety, and suicidality among university students. Am J Orthopsychiatry. 2007;77(4):534–42.PubMedCrossRef
44.
Zurück zum Zitat Jenkins R, Njenga F, Okonji M, Kigamwa P, Baraza M, Ayuyo J, et al. Prevalence of common mental disorders in a rural district of Kenya, and socio-demographic risk factors. Int J Environ Res Public Health. 2012;9(5):1810–9.PubMedPubMedCentralCrossRef Jenkins R, Njenga F, Okonji M, Kigamwa P, Baraza M, Ayuyo J, et al. Prevalence of common mental disorders in a rural district of Kenya, and socio-demographic risk factors. Int J Environ Res Public Health. 2012;9(5):1810–9.PubMedPubMedCentralCrossRef
45.
Zurück zum Zitat Nabi N, Yousuf A, Iqbal A. Prevalence of anxiety and depression among doctors working in a Private Hospital in Pakistan. In: Advisory Board, Associate Editors and Psychiatric Computer Interviews: Editorial Board Members ii-iv How Precise, Reliable And Accepted Are They? 69–80 Information for Authors v. 2012:13. Nabi N, Yousuf A, Iqbal A. Prevalence of anxiety and depression among doctors working in a Private Hospital in Pakistan. In: Advisory Board, Associate Editors and Psychiatric Computer Interviews: Editorial Board Members ii-iv How Precise, Reliable And Accepted Are They? 69–80 Information for Authors v. 2012:13.
46.
Zurück zum Zitat Goebert D, Thompson D, Takeshita J, Beach C, Bryson P, Ephgrave K, et al. Depressive symptoms in medical students and residents: a multischool study. Acad Med. 2009;84(2):236–41.PubMedCrossRef Goebert D, Thompson D, Takeshita J, Beach C, Bryson P, Ephgrave K, et al. Depressive symptoms in medical students and residents: a multischool study. Acad Med. 2009;84(2):236–41.PubMedCrossRef
47.
Zurück zum Zitat Ningombam S, Hutin Y, Murhekar MV. Prevalence and pattern of substance use among the higher secondary school students of Imphal, Manipur, India. Natl Med J India. 2011;24(1):11–5.PubMed Ningombam S, Hutin Y, Murhekar MV. Prevalence and pattern of substance use among the higher secondary school students of Imphal, Manipur, India. Natl Med J India. 2011;24(1):11–5.PubMed
48.
Zurück zum Zitat Pagel MD, Erdly WW, Becker J. Social networks: we get by with (and in spite of) a little help from our friends. J Pers Soc Psychol. 1987;53(4):793.PubMedCrossRef Pagel MD, Erdly WW, Becker J. Social networks: we get by with (and in spite of) a little help from our friends. J Pers Soc Psychol. 1987;53(4):793.PubMedCrossRef
Metadaten
Titel
Socio-demographic and substance-related factors associated with mental distress among Wollo university students: institution-based cross-sectional study
Publikationsdatum
01.12.2019
Erschienen in
Annals of General Psychiatry / Ausgabe 1/2019
Elektronische ISSN: 1744-859X
DOI
https://doi.org/10.1186/s12991-019-0252-4

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