Enny Rachmani , Sri Handayani , Kriswiharsi Kun Saptorini , Nurjanah , Dian Kusuma , Abdillah Ahsan , Edi Jaya Kusuma , Suleman Atique , Jumanto Jumanto
{"title":"Why do youths initiate to smoke? A data mining analysis on tobacco advertising, peer, and family factors for Indonesian youths","authors":"Enny Rachmani , Sri Handayani , Kriswiharsi Kun Saptorini , Nurjanah , Dian Kusuma , Abdillah Ahsan , Edi Jaya Kusuma , Suleman Atique , Jumanto Jumanto","doi":"10.1016/j.cmpbup.2024.100168","DOIUrl":null,"url":null,"abstract":"<div><div>Global Youth Tobacco Survey (GYTS), Indonesia showed that 60,9 % of students noticed cigarette advertisements or promotions in outdoor media. Our study aimed to understand the impact of outdoor tobacco advertising and peer and family association with Youth's smoking behavior.</div><div>This study deployed a cross-sectional approach to explore factors related to youth smoking behavior, such as peers, family, and tobacco advertising. The GYTS questionnaire was adapted as the instrument and distributed to 400 students from 20 high schools to observe smoking behavior. The chosen schools based on the previous study whose classify school in hot-spot and non hot-spot area. This study applied a data mining approach with a decision tree to generate the models.</div><div>This study generates a decision tree model that describes the peer factor as the key to introducing Youth to smoking. The model also reveals that youth in the non-hotspot advertising area are not likely to develop Youth to smoke. The model has a performance classification of 77.5 % This study found that youth with smoking fathers are more likely to start smoking earlier, youth whose both parents are smokers, and mothers who are smokers have a confidence level of 100 % to smoke. Further research is warranted to investigate rural districts to explore any regional and socioeconomic variations.</div></div>","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":"6 ","pages":"Article 100168"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer methods and programs in biomedicine update","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666990024000351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Global Youth Tobacco Survey (GYTS), Indonesia showed that 60,9 % of students noticed cigarette advertisements or promotions in outdoor media. Our study aimed to understand the impact of outdoor tobacco advertising and peer and family association with Youth's smoking behavior.
This study deployed a cross-sectional approach to explore factors related to youth smoking behavior, such as peers, family, and tobacco advertising. The GYTS questionnaire was adapted as the instrument and distributed to 400 students from 20 high schools to observe smoking behavior. The chosen schools based on the previous study whose classify school in hot-spot and non hot-spot area. This study applied a data mining approach with a decision tree to generate the models.
This study generates a decision tree model that describes the peer factor as the key to introducing Youth to smoking. The model also reveals that youth in the non-hotspot advertising area are not likely to develop Youth to smoke. The model has a performance classification of 77.5 % This study found that youth with smoking fathers are more likely to start smoking earlier, youth whose both parents are smokers, and mothers who are smokers have a confidence level of 100 % to smoke. Further research is warranted to investigate rural districts to explore any regional and socioeconomic variations.