Literature DB >> 33667467

Combustible and electronic cigarette use and insufficient sleep among U.S. high school students.

Ashley L Merianos1, Roman A Jandarov2, Kelvin Choi3, Kayleigh A Fiser4, E Melinda Mahabee-Gittens5.   

Abstract

The study aimed to investigate the relationships between current exclusive e-cigarette use, exclusive combustible cigarette smoking, and dual use of e-cigarettes and combustible cigarettes, and insufficient sleep among U.S. adolescents. We conducted a secondary data analysis of the 2017 Youth Risk Behavior Survey including 11,296 U.S. high school students. Current (past 30-day) tobacco use groups included exclusive e-cigarette users, exclusive combustible cigarette smokers, and dual-product users. We performed weighted unadjusted and adjusted logistic regression analyses. Insufficient sleep was defined as <8 h/night and < 7 h/night. Overall, 73.4% of adolescents reported insufficient sleep <8 h/night. Compared with non-tobacco users, exclusive e-cigarette users were more likely to report insufficient sleep <8 h/night (odds ratio [OR] = 1.55, 95%CI = 1.12-2.14; adjusted OR [aOR] = 1.57, 95%CI = 1.01-2.43) and < 7 h/night (OR = 1.55, 95%CI = 1.19-2.01; aOR = 1.61, 95%CI = 1.16-2.24). Dual-product users were at increased odds to report insufficient sleep <8 h/night (OR = 3.15, 95%CI = 1.87-5.32) and < 7 h/night (OR = 2.64, 95%CI = 1.87-3.72; aOR = 1.73, 95%CI = 1.14-2.62) than non-tobacco users. Exclusive combustible cigarette smokers were less likely to report insufficient sleep <8 h/night (aOR = 0.49, 95%CI = 0.29-0.84) than non-tobacco users, but no differences were found based on insufficient sleep <7 h/night. When comparing current use groups, exclusive e-cigarette users were at 3.20 increased odds (95%CI = 1.65-6.22) and dual-product users were at 3.26 increased odds (95%CI = 1.51-7.03) to report insufficient sleep <8 h/night when compared with exclusive combustible cigarette smokers after covariate adjustment. Dual-product users were 1.89 times more likely (95%CI = 1.01-3.51) to report insufficient sleep <7 h/night when compared with exclusive combustible cigarette smokers. School-based prevention efforts for tobacco use may promote sufficient sleep in youth.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adolescent; Combustible cigarette smoking; Electronic nicotine delivery systems; Sleep; Youth risk behavior survey

Mesh:

Year:  2021        PMID: 33667467      PMCID: PMC8096720          DOI: 10.1016/j.ypmed.2021.106505

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.637


  33 in total

1.  Relationships Between Smoking and Sleep Problems in Black and White Adolescents.

Authors:  Anna Bellatorre; Kelvin Choi; Daniel Lewin; Denise Haynie; Bruce Simons-Morton
Journal:  Sleep       Date:  2017-01-01       Impact factor: 5.849

2.  High exposure to nicotine among adolescents who use Juul and other vape pod systems ('pods').

Authors:  Maciej Lukasz Goniewicz; Rachel Boykan; Catherine R Messina; Alison Eliscu; Jonatan Tolentino
Journal:  Tob Control       Date:  2018-09-07       Impact factor: 7.552

3.  Dual- and Polytobacco/Nicotine Product Use Trends in a National Sample of High School Students.

Authors:  Ashley L Merianos; Tierney F Mancuso; Judith S Gordon; Kelsi J Wood; Katherine A Cimperman; E Melinda Mahabee-Gittens
Journal:  Am J Health Promot       Date:  2017-11-26

4.  Frequency of E-cigarette Use, Health Status, and Risk and Protective Health Behaviors in Adolescents.

Authors:  Michael S Dunbar; Joan S Tucker; Brett A Ewing; Eric R Pedersen; Jeremy N V Miles; Regina A Shih; Elizabeth J D'Amico
Journal:  J Addict Med       Date:  2017 Jan/Feb       Impact factor: 3.702

Review 5.  Association Between Initial Use of e-Cigarettes and Subsequent Cigarette Smoking Among Adolescents and Young Adults: A Systematic Review and Meta-analysis.

Authors:  Samir Soneji; Jessica L Barrington-Trimis; Thomas A Wills; Adam M Leventhal; Jennifer B Unger; Laura A Gibson; JaeWon Yang; Brian A Primack; Judy A Andrews; Richard A Miech; Tory R Spindle; Danielle M Dick; Thomas Eissenberg; Robert C Hornik; Rui Dang; James D Sargent
Journal:  JAMA Pediatr       Date:  2017-08-01       Impact factor: 16.193

6.  Relationships between hours of sleep and health-risk behaviors in US adolescent students.

Authors:  Lela R McKnight-Eily; Danice K Eaton; Richard Lowry; Janet B Croft; Letitia Presley-Cantrell; Geraldine S Perry
Journal:  Prev Med       Date:  2011-08-05       Impact factor: 4.018

7.  Adolescent substance use and its association to sleep disturbances: A systematic review.

Authors:  Misol Kwon; Eunhee Park; Suzanne S Dickerson
Journal:  Sleep Health       Date:  2019-07-11

Review 8.  Electronic nicotine delivery system use is related to higher odds of alcohol and marijuana use in adolescents: Meta-analytic evidence.

Authors:  Alexandra Hershberger; Eva Argyriou; Melissa Cyders
Journal:  Addict Behav       Date:  2020-01-27       Impact factor: 3.913

9.  Nicotinic enhancement of the noradrenergic inhibition of sleep-promoting neurons in the ventrolateral preoptic area.

Authors:  Benoît Saint-Mleux; Emmanuel Eggermann; Arnaud Bisetti; Laurence Bayer; Danièle Machard; Barbara E Jones; Michel Mühlethaler; Mauro Serafin
Journal:  J Neurosci       Date:  2004-01-07       Impact factor: 6.167

10.  Comparison of Urine 4-(Methylnitrosamino)-1-(3)Pyridyl-1-Butanol and Cotinine for Assessment of Active and Passive Smoke Exposure in Urban Adolescents.

Authors:  Neal L Benowitz; Natalie Nardone; Shonul Jain; Delia A Dempsey; Newton Addo; Gideon St Helen; Peyton Jacob
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-02-23       Impact factor: 4.254

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  1 in total

1.  Deleterious Association of Inhalant Use on Sleep Quality during the COVID-19 Pandemic.

Authors:  Deepti Gunge; Jordan Marganski; Ira Advani; Shreyes Boddu; Yi Jan Ella Chen; Sagar Mehta; William Merz; Ana Lucia Fuentes; Atul Malhotra; Sarah J Banks; Laura E Crotty Alexander
Journal:  Int J Environ Res Public Health       Date:  2021-12-15       Impact factor: 3.390

  1 in total

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