Objective: To determine whether spouses who only smoke cigarettes outside the home can reduce the secondhand smoke (SHS) exposure of non-smoking pregnant women to the levels of those with non-smoking spouses.
Methods: In this cross-sectional survey performed between 1 October 2006 and 31 July 2007, 896 non-smoking pregnant women in their 35th gestational week were included. Hair nicotine levels and the smoking behaviour of their spouses at home were assessed.
Results: The geometric means of the hair nicotine levels of the participants with non-smoking spouses (group A), the participants with spouses who only smoked outside the home (group B), and the participants with spouses who smoked inside the home (group C) were 0.33 ng/mg (95% CI 0.30 to 0.35), 0.51 ng/mg (95% CI, 0.45 to 0.57) and 0.58 ng/mg (95% CI, 0.51 to 0.65), respectively. The mean log hair nicotine level of group A was significantly different from the other groups (p<0.001, Scheffe's post hoc test). Multiple linear regression analysis of the log-transformed hair nicotine levels of the participants after adjusting for confounding showed that the mean differences (SE of the mean difference) of groups B and C compared to the reference group A were 0.43 (0.07; p<0.001) and 0.44 (0.10; p<0.001), respectively.
Conclusions: Spouses who only smoked outside the home did not reduce the level of SHS exposure of pregnant women to the level of pregnant women with non-smoking spouses. A strategy based on the separation of pregnant women and the smoking activity of their spouses might be inadequate to protect pregnant women from SHS at home.
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http://dx.doi.org/10.1136/tc.2009.033134 | DOI Listing |
Vet Sci
November 2024
Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, 26900 Lodi, Italy.
Tobacco smoke has numerous adverse effects on both human and animal health, including impaired reproductive function. Recent research has explored environmental exposure in dogs, investigating various biological matrices. However, no data are currently available on the presence of cotinine, a nicotine metabolite, in the canine ejaculate.
View Article and Find Full Text PDFNicotine Tob Res
December 2024
Truth Initiative Schroeder Institute, Washington, D.C., USA.
Introduction: LGBT+ individuals in the U.S. use tobacco products more than their heterosexual and cisgender peers.
View Article and Find Full Text PDFEnviron Int
December 2024
Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison 1445, Strassen, Luxembourg. Electronic address:
Previous studies have found associations between exposure to polycyclic aromatic hydrocarbons (PAHs) and cardiovascular risk factors. However, the internal dose of PAH exposure was often examined by quantifying monohydroxylated metabolites of PAHs (OH-PAHs) in urine, which can only reflect recent exposure. On the other hand, hair covers wider temporal windows than urine and has been demonstrated to be a suitable matrix for PAH exposure assessment.
View Article and Find Full Text PDFSubst Use Misuse
January 2025
San Diego Supercomputer Center, San Diego, CA, USA.
Background: Electronic cigarettes (e-cigarettes) are often marketed as safer alternatives to traditional smoking, yet evidence suggests potential health risks, especially among vulnerable populations. This study examines the immediate adverse events following e-cigarette use in individuals with preexisting health conditions to better understand these risks.
Methods: We conducted a STROBE-compliant observational study to identify specific preexisting medical conditions that may increase the risk of adverse events following e-cigarette use.
Tob Control
October 2024
Department of Economics, University of Illinois Chicago, Chicago, Illinois, USA.
Background: E-cigarette products are the most popular tobacco/nicotine product used among youth and young adults in the USA. While emerging research has shown that e-cigarette taxes increase their price, no study to date has examined e-cigarette tax burdens nor their affordability for youth and young adults.
Methods: Using real (2021 US dollars) prices per mL of e-liquid data from NielsenIQ and annual real (2021 US dollars) personal income data from Integrated Public Use Microdata Series, we calculate relative income prices and examine average annual percentage changes in affordability using Joinpoint trend analysis from 2015 to 2021.
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