Cigarette smoking is an important modifiable cardiovascular risk factor and pathophysiological mechanisms may include a stiff vascular tree. Although smokers have stiffer arteries, whether smoking cessation is associated with reduced arterial stiffness is not known. We compared never-treated patients with essential hypertension (n=554) aged 18 to 80 years (56% females) classified as current smokers (n=150), ex-smokers (n=136), and nonsmokers (n=268). Ex-smokers were categorized into <1 year, >1 and <10 years, and >10 years of smoking cessation. Measurements included aortic stiffness, assessed as pulse wave velocity (Complior), wave reflection (augmentation index [AIx]), and transit time (T(R)) (Sphygmocor). Current and ex-smokers had significantly higher pulse wave velocity and AIx compared with nonsmokers (pulse wave velocity for current smokers: 10.7+/-0.2; ex-smokers: 10.6+/-0.2; nonsmokers: 9.9+/-0.1 m/s; P<0.001; AIx for current smokers: 31+/-1; ex-smokers: 30+/-1; nonsmokers: 27+/-0.8%; P<0.05), whereas T(R) was lower in current and ex-smokers compared with nonsmokers (T(R) for current smokers: 131+/-1.0; ex-smokers: 135+/-1; nonsmokers: 137+/-0.8 m/s; P<0.0001). There was a significant linear relationship between smoking status and pulse wave velocity (P<0.001), AIx (P<0.001), and T(R) (P<0.001), even after adjusting for age, sex, mean arterial pressure, heart rate, and body mass index. In ex-smokers, duration of smoking cessation had a significant linear relationship with improvement in pulse wave velocity (P<0.001), AIx (P<0.001), and T(R) (P<0.001), with arterial stiffness parameters returning to nonsignificant levels after a decade of smoking cessation.
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http://dx.doi.org/10.1161/HYPERTENSIONAHA.107.087338 | DOI Listing |
N Z Med J
January 2025
Professor, Department of Public Health, University of Otago Wellington, Wellington.
Aim: In February 2024, the Aotearoa New Zealand Government repealed legislation to mandate very low nicotine cigarettes (VLNCs), greatly reduce the number of tobacco retailers and disallow sale of tobacco products to people born after 2008 (smokefree generation). We investigated acceptability and likely impacts of these measures among people who smoke or who recently (≤2 years) quit smoking.
Method: We analysed data from 1,230 participants from Wave 3 (conducted in late 2020 and early 2021) and 615 participants from Wave 3.
N Z Med J
January 2025
Associate Professor, University of Otago, Christchurch.
Aim: Electronic cigarette use (vaping) has increased rapidly among adolescents globally. Most electronic cigarettes (e-cigarettes) contain nicotine, which is addictive and can cause behaviour problems and mood dysregulation. We sought to assess whether an educational intervention increased knowledge about vaping-related health risks and desire to quit among high school students.
View Article and Find Full Text PDFRadiologie (Heidelb)
January 2025
Klinik für Diagnostische, und Interventionelle Neuroradiologie, Universitätsklinikum des Saarlandes, Kirrberger Straße, 66424, Homburg-Saar, Deutschland.
Stroke is one of the most common causes of disability in older adults. It remains a common cause of death and permanent functional limitation in individuals who are older than 80 years. Approximately 50% of all strokes occur in people over the age of 75, and 30% in those over 85.
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Introduction: Smoking causes lung cancer and a wide range of acute and chronic diseases annually throughout the world. A fourth-generation behavioral framework, namely the Multi-Theory Model (MTM) of health behavior change was used to predict the initiation and maintenance of smoking cessation among health worker smokers.
Methods: A cross-sectional study of 170 smoking healthcare workers was conducted in Kabul.
Front Public Health
January 2025
HEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Purpose: This study explored the effect of four different smoking statuses (non-smokers, moderate smokers, heavy smokers, and former smokers) on health-related quality of life (HRQOL) among residents aged 15 years and older in Sichuan Province, China with consideration of potential differences among age groups (young, middle-aged, and older adults).
Methods: The EQ-5D-5L utility index and EQ-VAS score were used to measure HRQOL. Self-reporting and salivary cotinine test were used to determine the smoking status of respondents, and the Tobit regression model was used to explore the relationship between smoking status and HRQOL.
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