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E-cigarettes, synthetic nicotine, heated-tobacco and smokeless nicotine delivery products: the nicotine landscape beyond combustible cigarettes.
Swiss Med Wkly
November 2024
Department of Medicine, University of California at San Francisco, San Francisco, CA, USA.
Cigarette smoking remains an enormous public health problem causing millions of preventable deaths annually worldwide. Although safe and efficient smoking cessation pharmacotherapies such as nicotine replacement products and the medications varenicline and bupropion are available, long-term abstinence rates remain low and new approaches to help smokers successfully quit smoking are needed. In recent years, electronic nicotine delivery systems such as e-cigarettes and heated-tobacco products, and novel smokeless nicotine delivery products like nicotine pouches have gained widespread popularity.
View Article and Find Full Text PDFMachine Learning-Based Prediction of Binge Drinking among Adults in the United State: Analysis of the 2022 Health Information National Trends Survey.
Proc 2024 9th Int Conf Math Artif Intell (2024)
May 2024
Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06516, USA.
Little is known about the association of social media and belief in alcohol and cancer with binge drinking. This study aimed to perform feature selection and develop machine learning (ML) tools to predict occurrence of binge drinking among adults in the United State. A total of 5,886 adults including 1,252 who ever experienced with binge drinking were selected from the 2022 Health Information National Trends Survey (HINTS 6).
View Article and Find Full Text PDFTowards personalized cardiometabolic risk prediction: A fusion of exposome and AI.
Heliyon
January 2025
Center for Applied Intelligent Systems Research, Halmstad University, Sweden.
The influence of the exposome on major health conditions like cardiovascular disease (CVD) is widely recognized. However, integrating diverse exposome factors into predictive models for personalized health assessments remains a challenge due to the complexity and variability of environmental exposures and lifestyle factors. A machine learning (ML) model designed for predicting CVD risk is introduced in this study, relying on easily accessible exposome factors.
View Article and Find Full Text PDFA pilot study of ketamine among individuals with tobacco use disorder: tolerability and initial impact on tobacco use outcomes.
J Addict Dis
January 2025
Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Objectives: There is increasing evidence of ketamine's therapeutic potential in reducing substance use in individuals with substance use disorders. However, its effects on tobacco use disorder are unknown. We investigated the effect of a subanesthetic dose of ketamine on tobacco use.
View Article and Find Full Text PDFUsage, knowledge and attitudes towards electronic cigarettes use among nursing students in Croatia: a cross-sectional study.
BMC Nurs
January 2025
Department of Nursing, Catholic University of Croatia, Ilica 244, Zagreb, Croatia.
Background: Evidence shows harmful effects of e-cigarettes on health. There is limited data on the use of e-cigarettes among nursing students. This study aimed to investigate the usage, knowledge, and attitudes towards e-cigarettes among nursing students in Croatia, as well as their views on the role of nurses in counseling patients and assisting with smoking cessation.
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