2013
DOI: 10.5559/di.22.4.01
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Prevalence of Substance Use Among the General Population: Situation in Croatia and Comparison with Other European Countries

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Cited by 7 publications
(5 citation statements)
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“…Our results showing that healthy subjects actively smoked more than asthma patients are not unexpected since many asthma patients (30.83% in our study) quit smoking because of more severe asthma symptoms, in addition to the benefit of smoking cessation in improving lung function [ 49 ]. The observed 34.17% of smokers in the control group is consistent with the smoking frequency (37.45%) in the general population of Croatia [ 50 ]. On the other hand, the 8.33% of active smokers in the asthma group are in line with the reports of smoking among asthma patients in Brazil and Spain, but much lower than what is seen in many other countries [ 51 ].…”
Section: Discussionsupporting
confidence: 81%
“…Our results showing that healthy subjects actively smoked more than asthma patients are not unexpected since many asthma patients (30.83% in our study) quit smoking because of more severe asthma symptoms, in addition to the benefit of smoking cessation in improving lung function [ 49 ]. The observed 34.17% of smokers in the control group is consistent with the smoking frequency (37.45%) in the general population of Croatia [ 50 ]. On the other hand, the 8.33% of active smokers in the asthma group are in line with the reports of smoking among asthma patients in Brazil and Spain, but much lower than what is seen in many other countries [ 51 ].…”
Section: Discussionsupporting
confidence: 81%
“…Furthermore, the drug consumption trends which were determined in the present study were only partialy in agreement with the results of general population surveys performed in Croatia in 2011 and 2015, which indicated a significant increase only in the consumption of cannabis (2.9% last-month prevalence in 2011; 5.0% last-month prevalence in 2016) (Glavak Tkalic et al, 2013;Glavak Tkalic et al, 2016), whereas the differences in the consumption prevalence of other illicit drugs were not found to be significant. Our study suggests that the outcome of national population surveys on drug consumption is not necessarily representative for larger cities.…”
Section: Multiannual Trends In Drug Consumption Patterns and Comparissupporting
confidence: 88%
“…The selection of target compounds was made based on the available data on drug consumption patterns in Croatia (Glavak Tkalic et al, 2013) and in the city of Zagreb Terzic et al, 2010). Selected analytes included morphine (MOR), morphine-3-glucuronide M3Gand 6-acetylmorphine (6-AM) as principal heroin-derived substances as well as benzoylecgonine (BE), amphetamine (AMP), methamphetamine (MAMP), 3,4-methylendioximethamphetamine (MDMA), 11-nor-9-carboxy-tetrahydrocannabinol (THC-COOH) and 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP) as principal biomarkers of cocaine, amphetamine, methamphetamine, MDMA, cannabis and methadone consumption, respectively.…”
Section: Selection Of Target Compoundsmentioning
confidence: 99%
“…More frequent alcohol consumption and more frequent intoxication established in boys in relation to girls is in line with Croatian and European research (Bouillet and Čale-Mratovic, 2007;Glavak Tkalić, Miletić and Sakoman, 2013;Haug, Schaub, Salis Gross, John and Meyer, 2006;Kalebić Maglica and Martinac Dolčić, 2015;Kuzman and Katalinić, 2005;Ljubotina and Galić;Nolen-Hoeksema, 2004;Sakoman, Kuzman, and Raboteg-Šarić, 1999;Piko, 2006;Windle, 2003). According to Croatian research data on the general population, men drink and get drunk more often than women (Štimac Grbić and Glavak Tkalić, 2020).…”
Section: Alcohol Consumption Habits Among Adolescents In the Split-dalmatia County And Comparison With Regard To Socio-demographic Characsupporting
confidence: 85%
“…Higher-grade students consume alcohol significantly more than lower-grade students in all three measured variables (life, one year, one month), with significant differences between Results of the two separate regression analyses (Table 7) show that the envisaged set of predictors (gender, age, perceived parental monitoring, perceived potential parental reactions) statistically significantly predict alcohol consumption in life (F(7.1241)=91.449; p<0.000) and in the last 30 days (F(7.1241)=50.813; p<0.000). The set of predictors predicts 33.7% variability of alcohol consumption in life, and Utvrđena učestalija konzumacija alkohola i učestalija opijenost kod mladića u odnosnu na djevojke u skladu je s domaćim i europskim istraživanjima (Bouillet i Čale-Mratović, 2007;Glavak Tkalić, Miletić i Sakoman, 2013;Haug, Schaub, Salis Gross, John i Meyer, 2013;Kalebić Maglica i Martinac Dorčić, 2015;Kuzman i Katalinić, 2005;Ljubotina i Galić, 2002;Nolen-Hoeksema, 2004;Sakoman, Kuzman, i Raboteg-Šarić, 1999;Piko, 2006;Windle, 2003). Prema hrvatskim podatcima istraživanja na općoj populaciji muškarci piju i opijaju se češće nego žene (Štimac Grbić i Glavak Tkalić, 2020).…”
Section: Description Of and Differences In Drinking Habits Among Adolescents' In The Split-dalmatia County With Regard To Socio-demographmentioning
confidence: 99%