ABSTRACT
OBJECTIVES: Substance abuse behaviors among university freshmen in Iran are poorly understood. This study aimed to identify, for the first time, subgroups of university freshmen in Iran on the basis of substance abuse behaviors. Moreover, it examined the effects of socio-demographic characteristics on membership in each specific subgroup. METHODS: Data for the study were collected cross-sectionally in December 2013 and January 2014 from 4 major cities in Iran: Tabriz, Qazvin, Karaj, and Khoramabad. A total of 5,252 first-semester freshmen were randomly selected using a proportional cluster sampling methodology. A survey questionnaire was used to collect data. Latent class analysis (LCA) was performed to identify subgroups of students on the basis of substance abuse behaviors and to examine the effects of students' socio-demographic characteristics on membership in each specific subgroup. RESULTS: The LCA procedure identified 3 latent classes: the healthy group; the hookah experimenter group; and the unhealthy group. Approximately 82.8, 16.1, and 2.1% of students were classified into the healthy, hookah experimenter, and unhealthy groups, respectively. Older age, being male, and having a family member or a close friend who smoked increased the risk of membership in classes 2 and 3, compared to class 1. CONCLUSIONS: Approximately 2.1% of freshmen exhibited unhealthy substance abuse behaviors. In addition, we found that older age, being male, and having a close friend or family member who smoked may serve as risk factors for substance abuse behaviors.
Subject(s)
Humans , Male , Friends , Iran , Risk Factors , Smoke , Smoking , Substance-Related DisordersABSTRACT
OBJECTIVES: Substance abuse behaviors among university freshmen in Iran are poorly understood. This study aimed to identify, for the first time, subgroups of university freshmen in Iran on the basis of substance abuse behaviors. Moreover, it examined the effects of socio-demographic characteristics on membership in each specific subgroup.METHODS: Data for the study were collected cross-sectionally in December 2013 and January 2014 from 4 major cities in Iran: Tabriz, Qazvin, Karaj, and Khoramabad. A total of 5,252 first-semester freshmen were randomly selected using a proportional cluster sampling methodology. A survey questionnaire was used to collect data. Latent class analysis (LCA) was performed to identify subgroups of students on the basis of substance abuse behaviors and to examine the effects of students' socio-demographic characteristics on membership in each specific subgroup.RESULTS: The LCA procedure identified 3 latent classes: the healthy group; the hookah experimenter group; and the unhealthy group. Approximately 82.8, 16.1, and 2.1% of students were classified into the healthy, hookah experimenter, and unhealthy groups, respectively. Older age, being male, and having a family member or a close friend who smoked increased the risk of membership in classes 2 and 3, compared to class 1.CONCLUSIONS: Approximately 2.1% of freshmen exhibited unhealthy substance abuse behaviors. In addition, we found that older age, being male, and having a close friend or family member who smoked may serve as risk factors for substance abuse behaviors.
Subject(s)
Humans , Male , Friends , Iran , Risk Factors , Smoke , Smoking , Substance-Related DisordersABSTRACT
OBJECTIVES@#Substance abuse behaviors among university freshmen in Iran are poorly understood. This study aimed to identify, for the first time, subgroups of university freshmen in Iran on the basis of substance abuse behaviors. Moreover, it examined the effects of socio-demographic characteristics on membership in each specific subgroup.@*METHODS@#Data for the study were collected cross-sectionally in December 2013 and January 2014 from 4 major cities in Iran: Tabriz, Qazvin, Karaj, and Khoramabad. A total of 5,252 first-semester freshmen were randomly selected using a proportional cluster sampling methodology. A survey questionnaire was used to collect data. Latent class analysis (LCA) was performed to identify subgroups of students on the basis of substance abuse behaviors and to examine the effects of students' socio-demographic characteristics on membership in each specific subgroup.@*RESULTS@#The LCA procedure identified 3 latent classes: the healthy group; the hookah experimenter group; and the unhealthy group. Approximately 82.8, 16.1, and 2.1% of students were classified into the healthy, hookah experimenter, and unhealthy groups, respectively. Older age, being male, and having a family member or a close friend who smoked increased the risk of membership in classes 2 and 3, compared to class 1.@*CONCLUSIONS@#Approximately 2.1% of freshmen exhibited unhealthy substance abuse behaviors. In addition, we found that older age, being male, and having a close friend or family member who smoked may serve as risk factors for substance abuse behaviors.
ABSTRACT
To determine frequency of motorcycle accident and its hospital costs on injured persons referring to Shohada university hospital in Khoramabad, Iran. A descriptive study was conducted on all injured persons who referred to Shohad-e-Eshayer in Khormabad between June 2005 till July 2006. All demographic and some data related to cost of accidence of 375 individuals were collected. A 20-items questionnaire was designed for this study. Of total, fifteen persons [4%] died. Approximately ninety percent were male. Individuals aged 16-25 years accounted for 56.8% all of injured. Head trauma was reason for 56.2% of mortality rate. Most of injured [92%] not used helmet. Total hospital cost of persons was 981572746 Rial [101194 $].these injured persons included 4/1% of total injured that referral to hospital. 14/7% of total injured traffic accidents were motorcycle injured accident. 1/2% of total hospitalization in center included motorcycle injured persons. Based on Pearson coefficient test, there was a significant statistical relationship between length of stay in emergency department and number of rider [P=0.03] and also, total length of stay with total hospital cost [P < 0.0001]. The findings of this study indicate that motorcycle accident imposes direct and indirect cost on social and health system, therefore must be reduce it