Adolescent smoking patterns: Associations with sociodemographic factors, cyberbullying, and psychiatric diagnoses in an outpatient clinical sample


Kurt Z. K., Demir Hacıosmanoğlu G., Yıldırım M., Özaslan A.

JOURNAL OF ETHNICITY IN SUBSTANCE ABUSE, 2023 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1080/15332640.2023.2299873
  • Dergi Adı: JOURNAL OF ETHNICITY IN SUBSTANCE ABUSE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, ASSIA, IBZ Online, CINAHL, Criminal Justice Abstracts, EBSCO Education Source, Education Abstracts, Educational research abstracts (ERA), International Pharmaceutical Abstracts, MEDLINE, PAIS International, Psycinfo, Public Affairs Index, Social services abstracts, Sociological abstracts, Violence & Abuse Abstracts
  • Gazi Üniversitesi Adresli: Evet

Özet

There is a scarcity of research on smoking in adolescents within a clinical (outpatient) sample, and there is no existing knowledge on the relationship between cyberbullying and smoking in this population. The primary aim of this study is to determine the prevalence of smoking among adolescents in a clinical sample. Additionally, it aims to examine the potential associations between smoking status and factors such as socioeconomic characteristics, psychiatric diagnoses, and cyberbullying levels. A cross-sectional study was performed on 200 adolescents who visited a tertiary child and adolescent psychiatry outpatient clinic. Participants were assessed using the DSM-5 based psychiatric evaluation, the Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version-DSM-5 Turkish Adaptation (K-SADS-PL-DSM-5-T), the Revised Cyber Bullying Inventory-II, and the Fagerstrom Test for Nicotine Dependence. The study found that 21% of the sample consisted of regular smokers, with a higher prevalence observed among older adolescents. The prevalence of depression and disruptive behavior disorders was significantly greater in the smoking group compared to other groups (p:0.043, p < 0.001, respectively). There was a significant difference in the scores for the cyberbullying bully subdimension among smokers (p = 0.013). The results of the multinomial logistic regression analysis indicated significant associations between smoking and age, maternal smoking status, friends smoking status, and a diagnosis of disruptive behavior disorder (p < 0.05 for all variables). This study reveals a significant prevalence of adolescent smoking in an outpatient clinic. These findings highlight the necessity of implementing focused smoking cessation interventions for this specific population.