Smokers' utilization of quitting methods and vaping during pregnancy: an empirical cluster analysis of 2016-2018 Pregnancy Risk Assessment Monitoring System (PRAMS) data in seven US states.
Cessation
Electronic cigarettes
Latent class analyses
Patterns
Pregnancy
Quitting method
Smoking
Smoking status,
Journal
BMC pregnancy and childbirth
ISSN: 1471-2393
Titre abrégé: BMC Pregnancy Childbirth
Pays: England
ID NLM: 100967799
Informations de publication
Date de publication:
02 May 2023
02 May 2023
Historique:
received:
13
06
2022
accepted:
14
04
2023
medline:
4
5
2023
pubmed:
3
5
2023
entrez:
2
5
2023
Statut:
epublish
Résumé
Patterns of utilization of numerous smoking cessation methods among pregnant women amidst the increasing popularity of vaping (use of e-cigarettes) remains unknown. This study included 3,154 mothers who self-reported smoking around the time of conception and delivered live births in 2016-2018 in seven US states. Latent class analysis was used to identify subgroups of smoking women based on their utilization of 10 surveyed quitting methods and vaping during pregnancy. We identified four subgroups of smoking mothers with different utilization patterns of quitting methods during pregnancy: 22.0% reported "not trying to quit"; 61.4% tried to "quit on my own" without any behavioral or pharmacological assistance; 3.7% belonged to the "vaping" subgroup; and 12.9% utilized "wide-ranging methods" with higher use rate of multiple approaches, such as quit line and nicotine patch. Compared to mothers "not trying to quit," the subgroup trying to "quit on my own" were more likely to be abstinent (adjusted OR 4.95, 95% CI 2.82-8.35) or to reduce the number of cigarettes smoked daily (adjusted OR 2.46, 95% CI 1.31-4.60) in late pregnancy, and these improvements lasted into early postpartum. We did not observe a measurable reduction in smoking among the "vaping" subgroup or women trying to quit with "wide-ranging methods". We identified four subgroups of smoking mothers with different utilization patterns of eleven quitting methods during pregnancy. Pre-pregnancy smokers who tried to "quit on my own" were most likely to be abstinent or to reduce smoking amount.
Sections du résumé
BACKGROUND
BACKGROUND
Patterns of utilization of numerous smoking cessation methods among pregnant women amidst the increasing popularity of vaping (use of e-cigarettes) remains unknown.
METHODS
METHODS
This study included 3,154 mothers who self-reported smoking around the time of conception and delivered live births in 2016-2018 in seven US states. Latent class analysis was used to identify subgroups of smoking women based on their utilization of 10 surveyed quitting methods and vaping during pregnancy.
RESULTS
RESULTS
We identified four subgroups of smoking mothers with different utilization patterns of quitting methods during pregnancy: 22.0% reported "not trying to quit"; 61.4% tried to "quit on my own" without any behavioral or pharmacological assistance; 3.7% belonged to the "vaping" subgroup; and 12.9% utilized "wide-ranging methods" with higher use rate of multiple approaches, such as quit line and nicotine patch. Compared to mothers "not trying to quit," the subgroup trying to "quit on my own" were more likely to be abstinent (adjusted OR 4.95, 95% CI 2.82-8.35) or to reduce the number of cigarettes smoked daily (adjusted OR 2.46, 95% CI 1.31-4.60) in late pregnancy, and these improvements lasted into early postpartum. We did not observe a measurable reduction in smoking among the "vaping" subgroup or women trying to quit with "wide-ranging methods".
CONCLUSIONS
CONCLUSIONS
We identified four subgroups of smoking mothers with different utilization patterns of eleven quitting methods during pregnancy. Pre-pregnancy smokers who tried to "quit on my own" were most likely to be abstinent or to reduce smoking amount.
Identifiants
pubmed: 37131124
doi: 10.1186/s12884-023-05608-3
pii: 10.1186/s12884-023-05608-3
pmc: PMC10152601
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
306Informations de copyright
© 2023. The Author(s).
Références
J Addict Dis. 2005;24(1):101-13
pubmed: 15774414
NCHS Data Brief. 2019 Jul;(346):1-8
pubmed: 31442195
Am J Public Health. 2018 Oct;108(10):1305-1313
pubmed: 30138070
Am J Public Health. 2007 Aug;97(8):1421-6
pubmed: 17600256
Cochrane Database Syst Rev. 2009 Jul 08;(3):CD001055
pubmed: 19588322
MMWR Surveill Summ. 2009 May 29;58(4):1-29
pubmed: 19478726
Cochrane Database Syst Rev. 2017 Feb 14;2:CD001055
pubmed: 28196405
Am J Prev Med. 2005 Jan;28(1):119-22
pubmed: 15626567
PLoS Med. 2010 Feb 09;7(2):e1000216
pubmed: 20161722
Am J Public Health. 2007 Aug;97(8):1503-9
pubmed: 17600268
Public Health Rep. 1996 Sep-Oct;111(5):408-18; discussion 419
pubmed: 8837629
Am J Epidemiol. 1985 Jun;121(6):843-55
pubmed: 4014177
Health Promot J Austr. 2006 Apr;17(1):54-60
pubmed: 16619937
Am J Epidemiol. 1999 Jun 1;149(11):981-3
pubmed: 10355372
Am J Prev Med. 2008 Feb;34(2):102-11
pubmed: 18201639
Am J Prev Med. 2000 May;18(4):305-11
pubmed: 10788733
Addict Behav. 2006 May;31(5):758-66
pubmed: 16137834
PLoS Med. 2019 Nov 13;16(11):e1002972
pubmed: 31721775
JAMA Netw Open. 2022 Jul 1;5(7):e2223266
pubmed: 35867060
JAMA. 1990 May 23-30;263(20):2760-5
pubmed: 2271019
Annu Rev Public Health. 2012 Apr;33:341-56
pubmed: 22224888
Cochrane Database Syst Rev. 2021 Sep 14;9:CD010216
pubmed: 34519354