The impact of cigarette and e-cigarette use history on transition patterns: a longitudinal analysis of the population assessment of tobacco and health (PATH) study, 2013–2015
Abstract Background Population models have been developed to evaluate the impact of new tobacco products on the overall population. Reliable input parameters such as longitudinal tobacco use transitions are needed to quantify the net population health impact including the number of premature deaths...
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Format: | Article |
Language: | English |
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BMC
2020-06-01
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Series: | Harm Reduction Journal |
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Online Access: | http://link.springer.com/article/10.1186/s12954-020-00386-z |
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author | Lai Wei Raheema S. Muhammad-Kah Thaddaeus Hannel Yezdi B. Pithawalla Maria Gogova Simeon Chow Ryan A. Black |
author_facet | Lai Wei Raheema S. Muhammad-Kah Thaddaeus Hannel Yezdi B. Pithawalla Maria Gogova Simeon Chow Ryan A. Black |
author_sort | Lai Wei |
collection | DOAJ |
description | Abstract Background Population models have been developed to evaluate the impact of new tobacco products on the overall population. Reliable input parameters such as longitudinal tobacco use transitions are needed to quantify the net population health impact including the number of premature deaths prevented, additional life years, and changes in cigarette smoking prevalence. Methods This secondary analysis assessed transition patterns from PATH wave 1 (2013–14) to wave 2 (2014–15) among adult exclusive cigarette smokers, exclusive e-cigarette users, and dual users. Transition probabilities were calculated by taking into account factors including cigarette smoking and e-cigarette use histories and experimental or established use behaviors. Multinomial logistic regression models were constructed to further evaluate factors associated with transition patterns. Results Differential transition probabilities emerged among study subgroups when taking into account cigarette smoking and e-cigarette use histories and experimental or established use behaviors. For example, overall 45% of exclusive e-cigarette users in wave 1 continued using e-cigarettes exclusively in wave 2. However, we observed approximately 11 to 14% of wave 1 exclusive experimental e-cigarette users continued to use e-cigarette exclusively in wave 2, compared to about 62% of exclusive established e-cigarette users. The history of cigarette smoking and e-cigarette use is another important factor associated with transition patterns. Among experimental e-cigarette users, 7.5% of individuals without a history of cigarette smoking transitioned to exclusive cigarette smoking, compared to 30% of individuals with a history of cigarette smoking. Additionally, 1.3% of exclusive cigarette smokers in wave 1 transitioned to exclusive e-cigarette use, with the highest transition probability (3.7%) observed in the established cigarette smoker with a history of e-cigarette use subgroup. Conclusions Product use histories and current use behaviors are important factors influencing transitions between product use states. Given that experimental users’ transition behaviors may be more variable and more influenced by tobacco use history, long-term predictions made by population models could be improved by the use of transition probabilities from established users. As transition patterns might be changing over time, long-term transition patterns can be examined through analysis of future waves of PATH data. |
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institution | Directory Open Access Journal |
issn | 1477-7517 |
language | English |
last_indexed | 2024-12-17T03:58:55Z |
publishDate | 2020-06-01 |
publisher | BMC |
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series | Harm Reduction Journal |
spelling | doaj.art-63b5d16a8d5b413cbee39d24675588192022-12-21T22:04:33ZengBMCHarm Reduction Journal1477-75172020-06-0117111210.1186/s12954-020-00386-zThe impact of cigarette and e-cigarette use history on transition patterns: a longitudinal analysis of the population assessment of tobacco and health (PATH) study, 2013–2015Lai Wei0Raheema S. Muhammad-Kah1Thaddaeus Hannel2Yezdi B. Pithawalla3Maria Gogova4Simeon Chow5Ryan A. Black6Center for Research & Technology, Altria Client Services LLCCenter for Research & Technology, Altria Client Services LLCCenter for Research & Technology, Altria Client Services LLCCenter for Research & Technology, Altria Client Services LLCCenter for Research & Technology, Altria Client Services LLCCenter for Research & Technology, Altria Client Services LLCCenter for Research & Technology, Altria Client Services LLCAbstract Background Population models have been developed to evaluate the impact of new tobacco products on the overall population. Reliable input parameters such as longitudinal tobacco use transitions are needed to quantify the net population health impact including the number of premature deaths prevented, additional life years, and changes in cigarette smoking prevalence. Methods This secondary analysis assessed transition patterns from PATH wave 1 (2013–14) to wave 2 (2014–15) among adult exclusive cigarette smokers, exclusive e-cigarette users, and dual users. Transition probabilities were calculated by taking into account factors including cigarette smoking and e-cigarette use histories and experimental or established use behaviors. Multinomial logistic regression models were constructed to further evaluate factors associated with transition patterns. Results Differential transition probabilities emerged among study subgroups when taking into account cigarette smoking and e-cigarette use histories and experimental or established use behaviors. For example, overall 45% of exclusive e-cigarette users in wave 1 continued using e-cigarettes exclusively in wave 2. However, we observed approximately 11 to 14% of wave 1 exclusive experimental e-cigarette users continued to use e-cigarette exclusively in wave 2, compared to about 62% of exclusive established e-cigarette users. The history of cigarette smoking and e-cigarette use is another important factor associated with transition patterns. Among experimental e-cigarette users, 7.5% of individuals without a history of cigarette smoking transitioned to exclusive cigarette smoking, compared to 30% of individuals with a history of cigarette smoking. Additionally, 1.3% of exclusive cigarette smokers in wave 1 transitioned to exclusive e-cigarette use, with the highest transition probability (3.7%) observed in the established cigarette smoker with a history of e-cigarette use subgroup. Conclusions Product use histories and current use behaviors are important factors influencing transitions between product use states. Given that experimental users’ transition behaviors may be more variable and more influenced by tobacco use history, long-term predictions made by population models could be improved by the use of transition probabilities from established users. As transition patterns might be changing over time, long-term transition patterns can be examined through analysis of future waves of PATH data.http://link.springer.com/article/10.1186/s12954-020-00386-zLongitudinal transition patternsEstablished use behaviorExperimental use behaviorHistory of cigarette smokingHistory of e-cigarette use |
spellingShingle | Lai Wei Raheema S. Muhammad-Kah Thaddaeus Hannel Yezdi B. Pithawalla Maria Gogova Simeon Chow Ryan A. Black The impact of cigarette and e-cigarette use history on transition patterns: a longitudinal analysis of the population assessment of tobacco and health (PATH) study, 2013–2015 Harm Reduction Journal Longitudinal transition patterns Established use behavior Experimental use behavior History of cigarette smoking History of e-cigarette use |
title | The impact of cigarette and e-cigarette use history on transition patterns: a longitudinal analysis of the population assessment of tobacco and health (PATH) study, 2013–2015 |
title_full | The impact of cigarette and e-cigarette use history on transition patterns: a longitudinal analysis of the population assessment of tobacco and health (PATH) study, 2013–2015 |
title_fullStr | The impact of cigarette and e-cigarette use history on transition patterns: a longitudinal analysis of the population assessment of tobacco and health (PATH) study, 2013–2015 |
title_full_unstemmed | The impact of cigarette and e-cigarette use history on transition patterns: a longitudinal analysis of the population assessment of tobacco and health (PATH) study, 2013–2015 |
title_short | The impact of cigarette and e-cigarette use history on transition patterns: a longitudinal analysis of the population assessment of tobacco and health (PATH) study, 2013–2015 |
title_sort | impact of cigarette and e cigarette use history on transition patterns a longitudinal analysis of the population assessment of tobacco and health path study 2013 2015 |
topic | Longitudinal transition patterns Established use behavior Experimental use behavior History of cigarette smoking History of e-cigarette use |
url | http://link.springer.com/article/10.1186/s12954-020-00386-z |
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