Purpose: The purpose of this study was to determine maternal cotinine levels in saliva at the first (T-1) and third trimesters of pregnancy (T-2), and postpartum (T-3) among women who reported smoking a consistent number of cigarettes. The goal was to generate data to provide suggestions about how nurses can improve patient outcomes for women who smoke.
Methods: Saliva cotinine values obtained from the randomized controlled trial (BabyBEEP) were used for this secondary analysis. We examined variations in saliva cotinine between the first and third trimesters of pregnancy and postpartum among light and heavy smokers. Cotinine values for pregnant smokers who were in the control group (not randomized to any intervention) and reported smoking the same range of cigarettes during and after pregnancy were used for the analyses (n = 43). Descriptive statistics and repeated-measures ANOVA were used for analyses.
Results: There were differences in maternal saliva cotinine levels across the different time points and between the groups. There was a significant interaction effect between time and group. Cotinine decreased from T-1 to T-2 in heavy smokers and increased from T-2 to T-3 among both light and heavy smokers. Cotinine at T-3 was higher than T-1 among light smokers.
Clinical Implications: Findings support accelerated nicotine metabolism during pregnancy and need for smoking cessation efforts throughout pregnancy to help women stay smoke free during postpartum.
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http://dx.doi.org/10.1097/NMC.0000000000000743 | DOI Listing |
Clin Exp Dent Res
December 2024
Laboratory of Clinical, Forensic, Industrial and Environmental Toxicology, University Hospital of Liège, Liège, Belgium.
Objectives: Smoking is considered a major risk factor for periodontitis genesis and progression. In clinical studies, specific indicators have been used to characterize the smoking status of the patient as the number of cigarettes consumed (NCC), the pack-years (PY), or Fagerström Test for Nicotine Dependence (FTND). However, available literature is missing on the relationship between cotinine gingival intoxication and smoking indicators.
View Article and Find Full Text PDFbioRxiv
November 2024
Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Saliva is a widely used sample in epigenetic research with children due to its non-invasive nature. Since DNA methylation (DNAm) profile is cell type (CT) specific, salivary DNAm associations with exposures may be influenced by CT compositions, which is highly variable in saliva as it contains immune and buccal epithelial cells (BEC). Reference-based CT deconvolution and statistically adjusting estimated CT in DNAm analyses have become an increasingly common practice.
View Article and Find Full Text PDFSci Rep
November 2024
SeNSE, Indian Institute of Technology (IIT) Delhi, New Delhi, 110016, India.
Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for biomolecule sensing. When combined with a broadband plasmonic structure, label-free, highly sensitive detection of specific molecules is possible. It is non-invasive, sensitive, fast, and can be used for in-situ analysis, unlike enzyme-linked immunosorbent assay, fluorescence immunoassay, and radioimmunoassay.
View Article and Find Full Text PDFInt J Mol Sci
November 2024
Instituto de Ciência e Tecnologia, Universidade Estadual Paulista (UNESP), Câmpus São José dos Campos, Av. Eng. Francisco José Longo, 777, São Dimas, São José dos Campos 12245-000, São Paulo, Brazil.
In recent years, the use of electronic cigarettes (e-cigs) has increased. However, their long-term effects on oral health and saliva remain poorly understood. Therefore, this study aimed to evaluate the saliva of e-cig users and investigate possible biomarkers.
View Article and Find Full Text PDFMolecules
September 2024
School of Pharmacy, Shujitsu University, Okayama 703-8516, Japan.
Passive smoking from environmental tobacco smoke not only increases the risk of lung cancer and cardiovascular disease but may also be a stressor triggering neuropsychiatric and other disorders. To prevent these diseases, understanding the relationship between passive smoking and stress is vital. In this study, we developed a simple and sensitive method to simultaneously measure nicotine (Nic) and cotinine (Cot) as tobacco smoke exposure biomarkers, and cortisol (CRT), serotonin (5-HT), melatonin (MEL), dopamine (DA), and oxytocin (OXT) as stress-related biomarkers.
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