ALPHA PSYCHIATRY
Original Articles

The relationship between smoking alcohol use and internet addiction among the university students

1.

Psikiyatri AD., Pamukkale Universitesi Tip Fakultesi, Denizli, Turkiye.

2.

Psikiyatri AD., Pamukkale Universitesi Tip Fakultesi, Denizli, Turkiye.

Alpha Psychiatry 2015; 16: 383-388
DOI: 10.5455/apd.172340
Read: 977 Downloads: 464 Published: 01 December 2015

Objective: The aim of this study is to reveal the relationship between internet addiction (IA) and smoking and alcohol use among university students. Method: 2096 students attending Pamukkale University were included in the study. Data collection tools were, Internet Addiction Scale (IAS), CAGE Test and Sociodemographic Data Form which was formed by the study authors for the present study to collect data about the student’s age, sex, alcohol and cigarette use history and internet use characteristics (time spent online, type etc.). Results: The prevalence of internet addiction was found as 8.6% in our study group. Higher rates of smoking and alcohol use were found among students with internet addiction. In addition, students who smoke and use alcohol had significantly higher IAS scores compared to the students without alcohol or cigarette use. In our study positive relationship was found between IAS scores and CAGE scores. The frequency of alcohol use was found to increase significantly as the IAS scores increase. There was no significant difference between the groups in terms of the daily cigarette consumption amount. However, the average time spent on cigarette use was significantly higher in the group with internet addic-tion. In addition IAS scores were found to increase significantly as the smoking year and the amount of daily ciga-rette smoking increased. Discussion: According to the findings of our study, internet addiction seems to be a com-mon problem among university students. Internet addiction was found to be associated with smoking and alcohol use [Anadolu Psikiyatri Derg 2015; 16(6.000): 383-388]

Files
EISSN 2757-8038