11 research outputs found
Illict drug use and academia in North Kosovo: Prevalence, patterns, predictors and health-related quality of life
<div><p>Purpose</p><p>The purpose of this study were to estimate the prevalence and patterns of illicit drug use in a sample of University students from North Kosovo, to assess factors associated with illicit drug use and to assess health-related quality of life (HRQoL) among students according to illicit drug use.</p><p>Methods</p><p>A cross-sectional study was conducted at the Student Public Health Center, where 514 University students were enrolled from April to June 2015 in North Kosovo. Participants completed the general socio-demographic and behavioral questionnaire, Beck Depression Inventory (BDI) and the SF-36 questionnaire for HRQoL assessment. Data on lifetime illicit drug use were self-reported.</p><p>Results</p><p>As much as 16.0% of students reported ever illicit drug use. The most frequently used drugs were marijuana (9.3%) and bromazepam (7.6%). Factors associated with ever illicit drug use were: being smoker and alcohol user, having chronic diseases and having higher depressive symptoms score. Ever illicit drug users reported all domains of HRQoL as worse.</p><p>Conclusion</p><p>These results could serve as a tool for implementation of preventive strategies and University policies to promote healthy lifestyles and behaviors. Measurement of HRQoL could also be used as indicator of the effect of interventions designed to reduce and/or prevent illicit drug use at institutions of higher education.</p></div
Factors associated with marijuana use among students of University of Pristina temporarily settled in Kosovska Mitrovica: Results of univariate and multiple logistic regression analysis.
<p>Factors associated with marijuana use among students of University of Pristina temporarily settled in Kosovska Mitrovica: Results of univariate and multiple logistic regression analysis.</p
Mean T scores of the SF-36 scales among students of University of Pristina temporarily settled in Kosovska Mitrovica according to illicit drug use.
<p>Mean T scores of the SF-36 scales among students of University of Pristina temporarily settled in Kosovska Mitrovica according to illicit drug use.</p
Prevalence of illicit drug use among students of University of Pristina temporarily settled in Kosovska Mitrovica.
<p>Prevalence of illicit drug use among students of University of Pristina temporarily settled in Kosovska Mitrovica.</p
Factors associated with illicit drug use among students of University of Pristina temporarily settled in Kosovska Mitrovica: Results of univariate and multiple logistic regression analysis.
<p>Factors associated with illicit drug use among students of University of Pristina temporarily settled in Kosovska Mitrovica: Results of univariate and multiple logistic regression analysis.</p
Living habits of the respondents.
<p>*statistical significance was considered at p<0.05.</p><p>** not included in the analysis.</p>a<p>based on the results of χ<sup>2</sup> test.</p><p>Living habits of the respondents.</p
Multiple logistic regression model with self-medication as the dependent variable.
<p>Multiple logistic regression model with self-medication as the dependent variable.</p
Differences between study years and type of self-prescribed medication.
a<p>1.9% respondents additionally stated that they did not know what medications they had self-prescribed.</p>b<p>prescription-only drugs.</p><p>Differences between study years and type of self-prescribed medication.</p
Basic demographic characteristics and living habits of respondents.
<p>*statistical significance was considered at p<0.05.</p><p>** not included in the analysis.</p>a<p>based on the results of χ<sup>2</sup> test.</p>b<p>based on the results of the Student t-test.</p><p>Basic demographic characteristics and living habits of respondents.</p
Multiple logistic regression model with self-medication of prescription-only drugs as the dependent variable.
<p>Multiple logistic regression model with self-medication of prescription-only drugs as the dependent variable.</p