Literature DB >> 16891446

Which sociodemographic factors are important on smoking behaviour of high school students? The contribution of classification and regression tree methodology in a broad epidemiological survey.

C Ozge1, F Toros, E Bayramkaya, H Camdeviren, T Sasmaz.   

Abstract

BACKGROUND: The purpose of this study is to evaluate the most important sociodemographic factors on smoking status of high school students using a broad randomised epidemiological survey.
METHODS: Using in-class, self administered questionnaire about their sociodemographic variables and smoking behaviour, a representative sample of total 3304 students of preparatory, 9th, 10th, and 11th grades, from 22 randomly selected schools of Mersin, were evaluated and discriminative factors have been determined using appropriate statistics. In addition to binary logistic regression analysis, the study evaluated combined effects of these factors using classification and regression tree methodology, as a new statistical method.
RESULTS: The data showed that 38% of the students reported lifetime smoking and 16.9% of them reported current smoking with a male predominancy and increasing prevalence by age. Second hand smoking was reported at a 74.3% frequency with father predominance (56.6%). The significantly important factors that affect current smoking in these age groups were increased by household size, late birth rank, certain school types, low academic performance, increased second hand smoking, and stress (especially reported as separation from a close friend or because of violence at home). Classification and regression tree methodology showed the importance of some neglected sociodemographic factors with a good classification capacity.
CONCLUSIONS: It was concluded that, as closely related with sociocultural factors, smoking was a common problem in this young population, generating important academic and social burden in youth life and with increasing data about this behaviour and using new statistical methods, effective coping strategies could be composed.

Mesh:

Year:  2006        PMID: 16891446      PMCID: PMC2585710          DOI: 10.1136/pgmj.2005.040360

Source DB:  PubMed          Journal:  Postgrad Med J        ISSN: 0032-5473            Impact factor:   2.401


  43 in total

1.  Association between household and workplace smoking restrictions and adolescent smoking.

Authors:  A J Farkas; E A Gilpin; M M White; J P Pierce
Journal:  JAMA       Date:  2000-08-09       Impact factor: 56.272

2.  Characterization of the smoking habit among high school students in Syria.

Authors:  W Maziak; F Mzayek
Journal:  Eur J Epidemiol       Date:  2000       Impact factor: 8.082

3.  Cigarette smoking in Wisconsin: the influence of race, ethnicity, and socioeconomics.

Authors:  J R Malmstadt; D L Nordstrom; D C Carty; A L Christiansen; N E Chudy; P D Rumm; P L Remington
Journal:  WMJ       Date:  2001

4.  Social influences on health-risk behaviors among minority middle school students.

Authors:  A C Beal; J Ausiello; J M Perrin
Journal:  J Adolesc Health       Date:  2001-06       Impact factor: 5.012

5.  Methods, locations, and ease of cigarette access for American youth, 1997-2002.

Authors:  Lloyd D Johnston; Patrick M O'malley; Yvonne M Terry-McElrath
Journal:  Am J Prev Med       Date:  2004-11       Impact factor: 5.043

6.  Smoking patterns of household members and visitors in homes with children in the United States.

Authors:  Mark A Schuster; Todd Franke; Cung B Pham
Journal:  Arch Pediatr Adolesc Med       Date:  2002-11

Review 7.  [Smoking habit in school age children, in Chile].

Authors:  Gonzalo Valdivia; Franco Simonetti; Patricio Cumsille; Valeria Ramírez; Carmen Gloria Hidalgo; Beatriz Palma; Juan Carrasco
Journal:  Rev Med Chil       Date:  2004-02       Impact factor: 0.553

8.  Cigarette smoking among rural-to-urban migrants in Beijing, China.

Authors:  Xinguang Chen; Xiaoming Li; Bonita Stanton; Xiaoyi Fang; Danhua Lin; Mathew Cole; Hongjie Liu; Hongmei Yang
Journal:  Prev Med       Date:  2004-10       Impact factor: 4.018

9.  Tobacco use by university students, Lebanon, 2001.

Authors:  Hala Tamim; Abdallah Terro; Hania Kassem; Adline Ghazi; Tarek Abou Khamis; Maher M Abdul Hay; Umayya Musharrafieh
Journal:  Addiction       Date:  2003-07       Impact factor: 6.526

10.  Respiratory symptoms in relation to residential coal burning and environmental tobacco smoke among early adolescents in Wuhan, China: a cross-sectional study.

Authors:  Päivi M Salo; Jiang Xia; C Anderson Johnson; Yan Li; Grace E Kissling; Edward L Avol; Chunhong Liu; Stephanie J London
Journal:  Environ Health       Date:  2004-12-07       Impact factor: 5.984

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  6 in total

1.  Predicting Initiation of Smoking Cessation Treatment and Outcome Among Adolescents Using Stressful Life Events and Coping Style.

Authors:  Ty S Schepis; Dana A Cavallo; Grace Kong; Thomas Liss; Amanda Liss; Suchitra Krishnan-Sarin
Journal:  Subst Abus       Date:  2014-11-25       Impact factor: 3.716

2.  The prevalence of smoking among karbala/iraq university students in iraq in 2005.

Authors:  Ali Al Mousawi
Journal:  Tob Use Insights       Date:  2014-02-10

3.  Exposure to Hookah and Cigarette Smoke in Children and Adolescents According to Their Socio-Economic Status: The CASPIAN-IV Study.

Authors:  Roya Kelishadi; Armindokht Shahsanai; Mostafa Qorbani; Gelayol Ardalan; Parinaz Poursafa; Ramin Heshmat; Mohammad Esmaeil Motlagh
Journal:  Iran J Pediatr       Date:  2016-06-12       Impact factor: 0.364

4.  Determinants of Tobacco and Hookah Smoking in a Nationally Representative Sample of Iranian Children and Adolescents: The CASPIAN-IV Study.

Authors:  Roya Kelishadi; Ramin Heshmat; Armindokht Shahsanai; Shirin Djalalinia; Mohammad Esmaeil Motlagh; Mojtaba Keikha; Gelayol Ardalan; Fereshteh Najafi; Maliheh Khoramdad; Hamid Asayesh; Mostafa Qorbani
Journal:  Iran Red Crescent Med J       Date:  2016-06-08       Impact factor: 0.611

5.  Smoking at school: views of Turkish university students.

Authors:  Nazmiye Erdogan; Irfan Erdogan
Journal:  Int J Environ Res Public Health       Date:  2008-12-23       Impact factor: 3.390

Review 6.  A scoping review on the use of machine learning in research on social determinants of health: Trends and research prospects.

Authors:  Shiho Kino; Yu-Tien Hsu; Koichiro Shiba; Yung-Shin Chien; Carol Mita; Ichiro Kawachi; Adel Daoud
Journal:  SSM Popul Health       Date:  2021-06-05
  6 in total

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