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Introduction: The effects of smoking on lung function among post-9/11 Veterans deployed to environments with high levels of ambient particulate matter are incompletely understood.
Materials And Methods: We analyzed interim data (04/2018-03/2020) from the Veterans Affairs (VA) Cooperative Studies Program #595, "Service and Health Among Deployed Veterans". Veterans with ≥1 land-based deployments enrolled at 1 of 6 regional Veterans Affairs sites completed questionnaires and spirometry. Multivariable linear regression models assessed associations between cigarette smoking (cumulative, deployment-related and non-deployment-related) with pulmonary function.
Results: Among 1,836 participants (mean age 40.7 ± 9.6, 88.6% male), 44.8% (n = 822) were ever-smokers (mean age 39.5 ± 9.5; 91.2% male). Among ever-smokers, 86% (n = 710) initiated smoking before deployment, while 11% (n = 90) initiated smoking during deployment(s). Smoking intensity was 50% greater during deployment than other periods (0.75 versus 0.50 packs-per-day; P < .05), and those with multiple deployments (40.4%) were more likely to smoke during deployment relative to those with single deployments (82% versus 74%). Total cumulative pack-years (median [IQR] = 3.8 [1, 10]) was inversely associated with post-bronchodilator FEV1%-predicted (-0.82; [95% CI] = [-1.25, -0.50] %-predicted per 4 pack-years) and FEV1/FVC%-predicted (-0.54; [95% CI] = [-0.78, -0.43] %-predicted per 4 pack-years). Deployment-related pack-years demonstrated similar point estimates of associations with FEV1%-predicted (-0.61; [95% CI] = [-2.28, 1.09]) and FEV1/FVC%-predicted (-1.09; [95% CI] = [-2.52, 0.50]) as non-deployment-related pack-years (-0.83; [95% CI] = [-1.26, -0.50] for FEV1%-predicted; -0.52; [95% CI] = [-0.73, -0.36] for FEV1/FVC%-predicted).
Conclusions: Although cumulative pack-years smoking was modest in this cohort, an inverse association with pulmonary function was detectable. Deployment-related pack-years had a similar association with pulmonary function compared to non-deployment-related pack-years.
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http://dx.doi.org/10.1093/milmed/usae049 | DOI Listing |
Nicotine Tob Res
September 2025
College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.
Introduction: Nicotine pouches (NPs) are an emerging nicotine delivery system. Understanding nicotine and toxicant exposure among NP users compared with users of other tobacco products and non-users is critical for informing public health strategies.
Methods: Data (n = 4527) were drawn from the Population Assessment of Tobacco and Health Study Wave 7 (2022-2023).
BMJ Public Health
September 2025
School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Introduction: Curbing adolescent vaping is a public health priority and little evidence exists examining protective factors. Using a strength-based approach, this study explored the relationship between adolescent vaping health perceptions and vaping use.
Methods: Cross-sectional data from 9000 Australian adolescents aged 14-17 years recruited via multiple online panels as part of the Generation Vape Study were used.
Ann Am Thorac Soc
September 2025
University of California Los Angeles David Geffen School of Medicine, Medicine, Los Angeles, California, United States.
Rationale: Inflammation is central to chronic obstructive pulmonary disease (COPD) pathogenesis but incompletely represented in COPD prognostic models. Neutrophil to lymphocyte ratio (NLR) is a readily available inflammatory biomarker.
Objectives: To explore the associations of NLR with smoking status, clinical features of COPD, and future adverse outcomes.
J Thorac Oncol
August 2025
Department of Radiation Medicine, Markey Cancer Center, University of Kentucky, Lexington, Kentucky.
Introduction: Cigarette smoking negatively affects lung cancer prognosis. Incorporating smoking history into stage-stratified survival analyses may improve prognostication.
Methods: Using the International Association for the Study of Lung Cancer ninth edition NSCLC database, we evaluated the association between smoking status at diagnosis and overall survival (OS) using Kaplan-Meier plots and multivariate Cox proportional hazard regression models adjusted for age, region, sex, histologic type, performance status, and TNM stage.
Tob Use Insights
September 2025
Institute for Therapy and Health Research, IFT-Nord, Kiel, Germany.
Introduction: Loneliness, a feeling of inadequate social relationships, is associated with behavioural health issues. This study examines the co-occurrence of loneliness and nicotine use (e-cigarettes, cigarettes and waterpipe (WP)) among adolescents aged 9-17 years in Germany.
Methods: Data were derived from the eighth wave of the "Präventionsradar", an annual school-based survey in Germany.