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The Evolution of Age-Specific Smoking Cessation Rates in the United States From 2009 to 2018
OBJECTIVE: Tracking the US smoking cessation rate over time is of great interest to tobacco control researchers and policymakers since smoking cessation behaviors have a major effect on the public’s health. A couple of recent studies have employed dynamic models to estimate the US cessation rate thr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312979/ https://www.ncbi.nlm.nih.gov/pubmed/37398051 http://dx.doi.org/10.21203/rs.3.rs-3030197/v1 |
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author | Le, Thuy T.T. Warner, Kenneth E. Mendez, David |
author_facet | Le, Thuy T.T. Warner, Kenneth E. Mendez, David |
author_sort | Le, Thuy T.T. |
collection | PubMed |
description | OBJECTIVE: Tracking the US smoking cessation rate over time is of great interest to tobacco control researchers and policymakers since smoking cessation behaviors have a major effect on the public’s health. A couple of recent studies have employed dynamic models to estimate the US cessation rate through observed smoking prevalence. However, none of those studies has provided recent annual estimates of the cessation rate by age group. METHODS: We employed a Kalman filter approach to investigate the annual evolution of age-group-specific cessation rates, unknown parameters of a mathematical model of smoking prevalence, during the 2009–2018 period using data from the National Health Interview Survey. We focused on cessation rates in the 24–44, 45–64 and 65 + age groups. RESULTS: The findings show that cessation rates follow a consistent u-shaped curve over time with respect to age (i.e., higher among the 25–44 and 65 + age groups, and lower among 45–64-year-olds). Over the course of the study, the cessation rates in the 25–44 and 65 + age groups remained nearly unchanged around 4.5% and 5.6%, respectively. However, the rate in the 45–64 age group exhibited a substantial increase of 70%, from 2.5% in 2009 to 4.2% in 2017. The estimated cessation rates in all three age groups tended to converge to the weighted average cessation rate over time. CONCLUSIONS: The Kalman filter approach offers a real-time estimation of cessation rates that would be helpful for monitoring smoking cessation behavior, of interest in general but also for tobacco control policymakers. |
format | Online Article Text |
id | pubmed-10312979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-103129792023-07-01 The Evolution of Age-Specific Smoking Cessation Rates in the United States From 2009 to 2018 Le, Thuy T.T. Warner, Kenneth E. Mendez, David Res Sq Article OBJECTIVE: Tracking the US smoking cessation rate over time is of great interest to tobacco control researchers and policymakers since smoking cessation behaviors have a major effect on the public’s health. A couple of recent studies have employed dynamic models to estimate the US cessation rate through observed smoking prevalence. However, none of those studies has provided recent annual estimates of the cessation rate by age group. METHODS: We employed a Kalman filter approach to investigate the annual evolution of age-group-specific cessation rates, unknown parameters of a mathematical model of smoking prevalence, during the 2009–2018 period using data from the National Health Interview Survey. We focused on cessation rates in the 24–44, 45–64 and 65 + age groups. RESULTS: The findings show that cessation rates follow a consistent u-shaped curve over time with respect to age (i.e., higher among the 25–44 and 65 + age groups, and lower among 45–64-year-olds). Over the course of the study, the cessation rates in the 25–44 and 65 + age groups remained nearly unchanged around 4.5% and 5.6%, respectively. However, the rate in the 45–64 age group exhibited a substantial increase of 70%, from 2.5% in 2009 to 4.2% in 2017. The estimated cessation rates in all three age groups tended to converge to the weighted average cessation rate over time. CONCLUSIONS: The Kalman filter approach offers a real-time estimation of cessation rates that would be helpful for monitoring smoking cessation behavior, of interest in general but also for tobacco control policymakers. American Journal Experts 2023-06-14 /pmc/articles/PMC10312979/ /pubmed/37398051 http://dx.doi.org/10.21203/rs.3.rs-3030197/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Le, Thuy T.T. Warner, Kenneth E. Mendez, David The Evolution of Age-Specific Smoking Cessation Rates in the United States From 2009 to 2018 |
title | The Evolution of Age-Specific Smoking Cessation Rates in the United States From 2009 to 2018 |
title_full | The Evolution of Age-Specific Smoking Cessation Rates in the United States From 2009 to 2018 |
title_fullStr | The Evolution of Age-Specific Smoking Cessation Rates in the United States From 2009 to 2018 |
title_full_unstemmed | The Evolution of Age-Specific Smoking Cessation Rates in the United States From 2009 to 2018 |
title_short | The Evolution of Age-Specific Smoking Cessation Rates in the United States From 2009 to 2018 |
title_sort | evolution of age-specific smoking cessation rates in the united states from 2009 to 2018 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312979/ https://www.ncbi.nlm.nih.gov/pubmed/37398051 http://dx.doi.org/10.21203/rs.3.rs-3030197/v1 |
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