Muhammad Nadeem;Muhammad Irfan Malik;Arif Ullah;Novaira Junaid
{"title":"Smoking Dynamics: Factors Supplementing Tobacco Smoking in Pakistan","authors":"Muhammad Nadeem;Muhammad Irfan Malik;Arif Ullah;Novaira Junaid","doi":"10.1109/TCSS.2024.3350675","DOIUrl":null,"url":null,"abstract":"Smoking tobacco is not only a public health issue but also has severe economic connotations too. Due to substantial economic and health effects of tobacco pandemic, it is now an urgent and obvious public health priority worldwide. Increased rate of its usage in Pakistan has negatively impacted people's health, families, and society. In order to cure issue, there is need to find factors responsible for pervasiveness of tobacco use in Pakistan. Thus, study will explore determinants of tobacco smoking in Pakistan. Study uses Pakistan demographic and health survey data. Analysis comprises of theoretical reasoning, association tests, and logistic regression. In analysis, tobacco use has been used as dependent variable, while age, occupation, region, place of residence, household wealth status, and education level have been used as independent variables. Results indicate that odds of any kind of tobacco use are highest for Punjab, it is more prevalent in urban areas, highest odds are for people 40 years of age and above, lowest odds are for people with higher education level, highest odds are for people either self-employed or engaged in agricultural activities, and it is more prevalent in poor households. Based upon results of study, it is conferred that in order to control tobacco use targeted interventions are needed and there is need to focus on: urban areas, less educated people, poor households, people of age 40 years and above, and people who are self-employed or engaged in agricultural activities.","PeriodicalId":13044,"journal":{"name":"IEEE Transactions on Computational Social Systems","volume":null,"pages":null},"PeriodicalIF":4.5000,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computational Social Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10410421/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Smoking tobacco is not only a public health issue but also has severe economic connotations too. Due to substantial economic and health effects of tobacco pandemic, it is now an urgent and obvious public health priority worldwide. Increased rate of its usage in Pakistan has negatively impacted people's health, families, and society. In order to cure issue, there is need to find factors responsible for pervasiveness of tobacco use in Pakistan. Thus, study will explore determinants of tobacco smoking in Pakistan. Study uses Pakistan demographic and health survey data. Analysis comprises of theoretical reasoning, association tests, and logistic regression. In analysis, tobacco use has been used as dependent variable, while age, occupation, region, place of residence, household wealth status, and education level have been used as independent variables. Results indicate that odds of any kind of tobacco use are highest for Punjab, it is more prevalent in urban areas, highest odds are for people 40 years of age and above, lowest odds are for people with higher education level, highest odds are for people either self-employed or engaged in agricultural activities, and it is more prevalent in poor households. Based upon results of study, it is conferred that in order to control tobacco use targeted interventions are needed and there is need to focus on: urban areas, less educated people, poor households, people of age 40 years and above, and people who are self-employed or engaged in agricultural activities.
期刊介绍:
IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.