Differences is little information about drug abuse among

Differences
in prevalence rates across the previous studies may be the result of
differences in the age range studied, cohort differences in substance
availability and popularity. However, these studies consistently show that
while the prevalence of abuse drugs is higher in men than in women, gender
differences are negligible in terms of the prevalence of illicit drug
dependence Rather, they are rooted in the
opportunity stage, which is the first stage of involvement in drugs. Presented
with the opportunity, males are as likely as females to use drugs (Schulden,
Thomas and Compton, 2009).

Although clear
evidence about level of education are effective in substance abuse and its
health and social consequences, little is known about the
relationship between individual level
of educational and Willingness to Use Illegal Drugs. There is little information
about drug abuse among Saudis student and its
complications such as dependency, drug tolerance,
and drug side effects. The recommended importance of developing
services to target population at risk of developing psychotic symptoms (Alibrahim et
al., 2012).

We Will Write a Custom Essay Specifically
For You For Only $13.90/page!


order now

Knowledge of the predictors of substance abuse and dependence
has grown exponentially, as have the number and variety of preventive
interventions tested and shown to be effective in reducing risk and use of
substances (Schulden, Thomas and Compton, 2009).. However, research is limited regarding the
relationship between initiation of prescription stimulants among specific age groups
and abuse of other drugs (Neyaz et al.,
2011; Al-haqwi, 2010; Ahmadi and Hasani, 2003). With
transition in demographic population and expanding in
economic, Saudi students are highly attributable to most major causes and
prevalence of drug abuse (Alibrahim et al., 2012).

However,
we could not find studies that have examined the prevalence and correlates of
non-medical use of prescription stimulants and related with level of education
among a Saudi students. In spite of this, only a few studies have been carried
out in the Saudi Kingdom on substance abuse; none were in the studying
association between drug abuse and level of education and it is hoped that the
present study might be such a contribution.

 

Aim and objectives

 

Study
the association between willingness to use illegal drugs and level of
education.

 

Research
Design and Method

 

An
observational,
national adaptive, cross-sectional survey was conduct on Saudi Arabian to predict drug
abuse among students’ population in the
period from October 2017 to January 2018. A
standardized questionnaire was used for randomly selected population at all
regions of Saudi Arabia.

Inclusion
criteria:

1)     
Intermediate,
secondary and college students.

2)     
Only
Saudi Arabian students were involved in the study.

Ø  exclusion criteria:

Medical and Pharmaceutical colleges’ students were excluded from
the study.

Ø  The Institutional Review Board  (IRB) approval:

An IRB
approval was requested after gaining the approval of the project from College of Pharmacy at Qassim University.

 

Ø  Questionnaire Design:

The questionnaire
was designed in English and it was 131 questions. Those questions were then
categorized into nine categories comprising the following:

1.     
Demographic
and personal Questions

2.     
Familiosocial
questions

3.     
Knowledge
and awareness of Weed and Amphetamines

4.     
Usage
of abusive numerous substances

5.     
Usage
of abusive numerous substances by a friend

6.     
Usage
of abusive numerous substances by a relative

7.     
Effects
of substances on user

8.     
Participant’s
attitude towards drugs

9.     
Participant’s
attitude towards hallucinogenic drugs

Later, the questionnaire was translated to
Arabic and was reviewed for consistency by the supervisor.

Ø  Data analysis

The data was
collected and tabulated. The recorded data was analyzed using computer-based statistical package for social
science (SPSS) software. Simple
descriptive statistics were used (frequency with percentage distribution for
categorized variables). Chi-square cross tabulation was used to test the
differences in proportions of categorical variable between two or more groups
and assessed the correlation between the variables. Odds ratio (OR) together
with 95% confidence intervals (95% CIs) was then used to measure the
association between those variables. The level
of statistical significance was set at probability P? 0.05.