Susceptibility to using e-cigarettes was 46.9% among females and 43.4% among males. Logistic regression analyses was employed to identify factors associated with cigarette smoking. Methods This cross-sectional study was conducted between March and June 2017 using a simple random sampling method. Consequently, we determined what factors affect university students’ smoking behavior in Turkey. This study examined how perceptions of student smoking in the school environment and the actual smoking rate among senior students at a school are related to smoking onset.


Objective: The objectives were to determine the prevalence and associated factors for smoking among university students in Malaysia. Multilevel logistic regression analysis was used to examine correlates of ever smoking in a sample of 4,286 grade 6 and 7 students from 57 elementary schools in Ontario, Canada.

scant about individual and interpersonal factors that influence tobacco use among African Americans, American Indians, Alaska Natives, Asian Americans, Pacific Islanders, and Hispanics.

A self-administered questionnaire was used to collect sociodemographic data, smoking behavior and peer smoking among college students. Methodology: A cross-sectional study was conducted among 199 students in the period from December of academic year 2009 until April of academic year 2010 in Management and Science

This paucity of data, in fact, both inspired and hampered the development of this … The mean age of participants was 19.2 ± 2.53 years. Moreover, in some states, current cigar use among adolescent males actually exceeds the prevalence of current cigarette smoking in this population. Methodology Statement of the Problem The problem under consideration was to explore the causes and reasons of smoking among the teenagers studying at O and A level students in the private and public …

SMOKING AMONG UNIVERSITY STUDENTS Psychosocial factors and smoking behaviour The effects of psychosocial factors such as gender, ethnic group, year of study, field of study, financial source, place of residence, family and peer history of smoking, and mental health status were analysed.

With the Susceptibility to using e-cigarettes and smoking cigarettes was higher among middle school students (47.0% and 49.5%, respectively) than among high school students (42.8% and 42.7%, respectively).

The present study confirmed the evidence of se veral determinants of smoking among youth. Th e purpose of this study was to investigate the reasons for students’ smoking status and to determine the risk factors for

smoking among the teenagers in the Pakistani context. (206)