This section presents the prevalence, risk factors, and managing mechanisms of substance abuse among Dire Dawa University students. So that it is presented in five major sections. In the first section, the socio-demographic data of respondents is thoroughly presented. In section two, the lifetime, the frequency & the degree of prevalence of substance abuse is presented. In section three, the risk factors of substance abuse are precisely presented. Section four of the results presents the demographic difference of students concerning their level of substance abuse. And finally, section five presented the managing mechanisms of substance abuse.
Socio-Demographic Characteristics of DDU students
Age, sex, religion, year level, place of origin, region, monthly income, parenting style, mother's education, father's education, family structure, monthly income, parenting style, and family structure were considered as the socio-demographic characteristics of respondents. In this section, each characteristic was summarized using frequency and percentage hereunder.
Table 1: Demographic characteristics of respondents
R.no.
|
Subject characteristics
|
Frequency
|
Percent
|
Sex
|
Male
|
168
|
43.2
|
|
Female
|
220
|
56.8
|
|
Total
|
388
|
100
|
Age
|
Below 17
|
42
|
10.8
|
|
18-35
|
346
|
89.1
|
|
Total
|
388
|
100
|
Religion
|
Orthodox
|
108
|
26.3
|
|
Muslim
|
41
|
10.56
|
|
Catholic
|
14
|
3.6
|
|
Protestant
|
223
|
57.47
|
|
Other
|
2
|
0.51
|
|
Total
|
388
|
100
|
Region
|
Oromia
|
199
|
51.28
|
|
Amara
|
126
|
32.47
|
|
Somali
|
35
|
0.09
|
|
SNNP
|
9
|
0.02
|
|
Other
|
19
|
0.048
|
|
Total
|
388
|
100
|
Parenting style
|
Permissive
|
67
|
17.26
|
|
Democrat
|
201
|
51.8
|
|
autocrat
|
63
|
16.23
|
|
neglectful
|
57
|
0.14
|
|
Total
|
388
|
100
|
Family structure
|
Single parent Nuclear
|
105
260
|
27
67
|
|
Step
|
3
|
0.7
|
|
Extended
|
18
|
4.6
|
|
Child headed
|
2
|
0.5
|
|
Total
|
388
|
100
|
As shown in table 1, the majority of the students-220 (56.8%) - who participated in the current study were male and 168(43.2%) of them were female by their sex. Concerning their age, 42(10.8%) of the total respondents were below years old, and 346(89.1%) of the respondents were in the age range between 18-35 years. Concerning the religion of students who participated in the study, 108(26.3%), 41(10.56%), 223(57.47%), and 14(3.6%) of them followed Orthodox, Muslim, Protestant, and Catholic religions, where 2(10.56%) of them have been followed other types of religion. Concerning year level, 144(37.11%) have been enrolled in freshman program, 55(14.8) was a second year, 172(44.3%) was the third year and 17(4.4%) of them was fourthyear & above students. Concerning region, 199(51.28%) of the students come from Oromia, 126(32.47%) of students come from Amhara, 35(0.09%) of students come from Somali, 9(0.02) of students come from Oromia SNNP and 19(0.048%) of the respondents come from other regions of Ethiopia.
Concerning their parenting style, 67(17.26%) of the respondents stated that they were raised by a permissive parenting style. Moreover, 201(51.8%) of the respondents stated that they were raised by democrat parenting style, 63(16.23%) of the respondents stated that they were raised by autocrat parenting style, and 57(14.7%) of the respondents stated that they raised by neglectful parenting style. Finally, the family structure, 105(27%) of the respondents were raised with a single parent (either with their mother or father), 260(67%) of the respondents were raised with nuclear family (with their mother & father), 3(0.7%) of the respondents raised with step-parent and 18(4.6%) of the respondents raised with child-headed family.
Prevalence of Substance Abuse among Dire Dawa University Students
Table 2: The lifetime prevalence of common substances of abuse
Status
|
Alcohol
|
Chat
|
Tobacco
|
Cannabis
|
Cocaine
|
Other substances
|
|
F %
|
F %
|
F %
|
F %
|
F %
|
F %
|
Yes
|
226 58.3
|
203 52.3
|
112 28.9
|
88 24.5
|
56 14.5
|
165 46.5
|
No
|
162 41.7
|
185 47.7
|
276 71.1
|
293 75.5
|
332 85.5
|
223 53.5
|
Total
|
388 100
|
388 100
|
388 100
|
381 100
|
379 100
|
388 100
|
According to table 4, 226 (58.3%) of the students have been used alcohol at a time in their life, whereas 162 (41.7%) of students haven’t used alcohol. 203(52.3%) of the students have been using the chat at a time in their life, whereas 185(47.7%) of students haven’t used chat. 112(28.9%) of the students have been used tobacco at a time in their life, whereas 276(71.1%) of students haven't used tobacco. 88(24.5%) of the students have been using cannabis at a time in their life, whereas 293(75.5%) of students haven't used cannabis. 56(14.5%) of the students have been used cocaine at a time in their life, whereas 332(85.5%) of students didn't use cocaine. 165(46.5%) of the students have been using any kind of substance at a time in their life, whereas 223(53.5%) of students haven't used it.
The Psychosocial Risk Factors of Common Substances of Abuse among DDU Students
Table 3: The psychosocial risk factors of common substances of abuse
R square
|
Sig.
|
|
95.0% Confidence Interval for B
|
0.68
|
0.00
|
Beta values
|
Lower Bound Upper Bound
|
Psychosocial risk factors
|
|
|
|
Peer influence 0.01
Ease availability of
|
.904
|
-.015
|
.014
|
|
.0012 substances
|
.712
|
.370
|
1.053
|
|
Poor regulation 0.127
|
.33
|
-.309
|
.562
|
|
Lack of religious affiliation 0.023
|
0.25
|
|
|
|
Low academic achievement 0.030
|
.18
|
-.495
|
.375
|
|
Mental problem .011
Trouble relationship with
|
.69
|
.405
|
.992
|
|
.031
|
.55
|
.45
|
.519
|
|
parents
As shown in table 6, peer influence, mental problem, academic factors, easy drug availability, trouble relationship with parents, and lack of regulation significantly predict substance abuse at R[0.68)=, p<0.05) so that 68% of substance abusing states determined by these factors. The beta values-the degree of prediction for each factor as indicated in the table peer influence (B=0.9), ease availability of substances (0.712), mental health problem (B=0.69), trouble relationship with parents (B=0.55), poor regulation (0.33), lack of religious affiliation (0.25) and academic initiation (0.18). Specifically, peer influence, drug availability and, mental problems were the major risk factors for abusing substances.
There are no sole factors for why some peoples engage in substance abuse. The psychological & social risk factors are implicated in multiple pathways. Thus, risk factors like psychological, social, and environmental factors mutually influence each other in causing substance abuse. These factors were found to be associated with ever using, frequency of use, and heavy use of substances (alcohol, chat, cigarettes, cannabis, and other drugs).
Social and environmental factors
The respondents told that peer substance use, drug availability on their residence, lack of religious affiliation, and weak legal sanctions were the major risk factors and the immediate kick-off for substance intoxication. The immediate friends /peer he/she engaged in substance abuse for substance abuse were their peers. Young students who believed substance makes it easier to socialize were shown in later years to have increased their use of substances over time to higher rates than their peers without this belief.
Some of the students told that “we are here, in Dire Dawa substance abuse particularly chewing chat behavior considered as an as means of socialization so that the communities influence seen as letting factor to engage in substance”.
Those who have inhabited in Dire Dawa, substance was high substance abuse, the student perception for substance related quite differently and eventually, they may have a tendency to become substance abusers.
Selling & using substances particularly chat have been in every area of the city without any probation even in schools, health care, recreation areas, and everyone’s hone.
The religious deep faith and trust in God/Allah tend to be the inner strength and the development of a sense of meaning and purpose to life, thus providing an informal means of social control and reducing the likelihood of substance abuse. Students with low involvement in religious or spiritual faith and practice had a more tendency to be free to binge by substance. However, in Muslim students chewing chat is believed as a means of praying way with Allah. Associated with belief, Muslim students’ high tendency to chew chat behavior.
Moreover, the lack of access to education, high levels of unemployment and overcrowding, poverty as well as lack of economic opportunities can also contribute to negative behaviors like substance abuse.
Psychological factors
The psychological factors include family influence, poor relationship with parents, lack of familial support and supervision, early alcohol use, stress, low-grade point, low self-esteem, and mental illness. A family history of substance is a deep-rooted risk factor for individuals initiating substance abuse. In addition, when family troubled relationships with drug-abusing students, they may be liable for substance abuse to forget the stressful relationship. Some students abuse substances to reduce stress.
While students encounter negative anxiety or depression, expecting that substance particularly alcohol will relieve these feelings, and having a coping style characterized by avoiding rather than confronting life issues all combine to make it more likely that an individual will cope with stress.
Other psychological risk factors include high impulsivity, impression seeking, and openness to experience. Students' cognitive appraisal or beliefs about substance abuse are critical causes in determining abuse.
The reasons mentioned for chewing khat by the respondents were as follows: some of the students said that they started to chew with the belief of chat can improve alertness, increase memory, and be sociable.
The Mean Difference of Substances of Abuse across Socio-Demographic Variables
As indicated earlier, one of the objectives of the study wants to assess the level of substances abuse among DDU students across their socio-demographic characteristics. Sex, religion, place, region, monthly income, parenting style, family structure, monthly income, parenting style, and family structure were considered as the socio-demographic features of study participants. Accordingly, independent samples t-test and one-way ANOVA were computed to test if there were statistically significant mean differences across the independent groups. While independent samples-test were computed for sex (male & female), one-way ANOVA was computed for religion, place, region, monthly income, parenting style, family structure, monthly income, parenting style, and family structure.
Gender difference on the level of substance abuse
As indicated earlier, in this study, male and female respondents were computed in terms of the level of substance abuse using independent samples t-test. This section presents the results of the study as summarized in the following table hereunder;
Table 4: the gender difference in substances of abuse
Variables
|
Male (n=201)
|
|
Female
(n=183)
|
|
|
|
|
M
|
SD
|
M SD
|
t-value
|
df
|
Sig.
|
95% CI
Lower Upper
|
Level of abuse
|
16.75
|
2.47
|
14.3 2.9
|
6.2
|
202
|
0.00
|
-3.1 -1.6
|
p<0.05; M=Mean; SD=Standard Deviation
Table 7 summarizes the results of the independent samples t-test among the level of substance abuse by their sex. According to the table, there was a significant mean difference (t (202) = 1.97, p<0.05) in the level of substance abuse between males and females. More importantly, if we observe students' mean scores, males' scores of the level of substance abuse (M=14.75,
SD=2.47) were higher than that of males 'scores of the level of substance abuse (M= 15.1, SD=
6.4).
Monthly income difference in substances of abuse
In this section, using one-way ANOVA results on the comparison of respondents having different income level categories concerning the level of the outcome variables are presented.
Table 5: Means, Standard deviations and One-way ANOVA on substances of abuse across income level
Varia bles
|
Less than
500 birrs
(n=54)
|
500-1000
(n=146)
|
1000-2000
(n=145)
|
>2000
(n=44)
|
|
|
|
M SD
|
M SD
|
M SD
|
M SD
|
F
|
Sig
.
|
95% CI
Lower Uppe
r
|
Abus
|
16.28 3.37
|
15.68 2.54
|
15.07 3.12
|
17.2 1.79
|
1.94
|
.00
|
-24.43 24.43
|
e 1
p˂0.05; M=mean; SD=standard deviation, CI= confidence interval
One-way ANOVA as shown in table 8, indicated significant mean differences in substance abuse (F[2.64)=1.94, p<0.05) among respondents of the students across different monthly income levels. Specifically, Tukey’s post hoc, indicates that students who earn less than 500 birrs have a significant difference from those students who earn above 2000 birr. Yet, respondents in this group were found to have no significant difference from students who earn between 500-1000 & above 1000-2000 birr. Similarly, students who earn above 2000 were found to have a significant difference from those students who earn between less than 500, 500-1000, and above 1000-2000 birr.
Parenting style difference in substances of abuse
Table 6: Parenting style difference in substances of abuse among DDU students
Variable
|
Permissive
(n=42)
|
democrat
(n=133)
|
Autocrat
(n=54)
|
neglectful
(n=20)
|
|
|
|
M SD
|
M SD
|
M SD
|
M SD
|
F
|
Sig.
|
95% CI
Lower Upper
|
abuse
|
15.
1.94 7
|
3.0 14.8
5
|
15.
3.4 59
|
15.6 0.5
|
0.11
|
0.02
|
-2.09 2.09
|
One-way ANOVA as shown in table 11, indicated significant mean differences in substance abuse (F [2.64] =0.11, p<0.05) among respondents of the study across parenting styles. As we observe the mean scores of respondents across categories, respondents who rose in permissive and neglectful have high mean scores than respondents who have democrat and autocrat parenting styles. Particularly, Tukey is post hoc, indicating that respondents who rose in permissive are found to have significant differences with respondents who rose with autocratic and neglectful parenting styles.
Treatment mechanisms for substances of abuse
Table 7: Treatment mechanisms for substances of abuse among DDU students
Frequency Table
Doing something Internet utilization Reading Discussion Ask clinician
Status F % F % F % F % F %
Yes 163 65.5 163 65.5 161 64.6 156 62.7 170 68.2
No 86 34.5 86 34.5 88 35.4 93 37.3 79 31.8
T 249 100.0 249 100.0 249 100 249 100.0 249 100
Table 12 as shown above, students used various ways mechanisms to abstain/cease from substance intoxication/abuse. As they respond 163 (65.5%) engage themselves or do something, 163 (65.5%) utilized the Internet, 161 (64.6%) of them read different books, 156 (62.7%) made free discussion on how to stop intoxication, and 170 (68.2%) of them find clinicians for special help. The majority of respondents' help-seeking from clinician/therapist is considered as the primary choice.