Smoking & Tobacco

A motor thalamic site in humans that suppresses involuntary breathing without awareness.

Breathing is generated by brainstem respiratory networks but can be controlled and modulated by forebrain activity. The recent clinical adoption of thalamic electrode implantation during intracranial electroencephalography (iEEG) provides a rare opportunity to examine the role of the human thalamus in respiratory control. Here, we tested whether thalamic stimulation alters breathing in 11 patients...

The role of social media influencer promotion in initiation and use of cigar, little cigar, cigarillo, and cannabis products among US youth and young adults: Using exogenous marketing exposure measures.

BACKGROUND: Influencer marketing on social media is a powerful, yet under-examined, driver of youth and young adult substance use. Yet, reliably identifying influencer promotion and measuring its effects, particularly at community level, remains challenging. Influencers rarely disclose brand relationships, and conventional self-reported exposure metrics fail to capture the complex digital media en...

Association between diagnostic history and cancer incidence within 5 years: a real-world observational analysis.

Cancer is associated with many pre-existing health conditions (PHCs), but accurately quantifying these links remains challenging. Although some studie...

The tip of the iceberg: Profiling cooling agents using computational approaches to inform tobacco regulatory science.

Cooling agents (chemicals added to impart a cooling sensation) in tobacco products are receiving increased attention due to their use as menthol subst...

Generative AI in a new era of computer model-informed tobacco research: a short report.

BACKGROUND: Social media influencers who promote e-cigarettes on Instagram or TikTok for tobacco brands use marketing tactics to increase the appeal o...

[Expert consensus on optimizing the multidisciplinary clinical pathways and management models for pulmonary function testing].

The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in ...

Bacterial taxa associated with lung cancer cases in Southeast Asians: a pilot case-control study.

PURPOSE: Lung cancer is the leading cause of cancer-related mortality worldwide, yet its underlying mechanisms remain unclear. Disruptions in the resp...

Investigating the potential risk of nicotine exposure on glioblastoma: Integrating Mendelian randomization and network toxicology analysis.

OBJECTIVE: To investigate the potential risk of nicotine exposure on glioblastoma multiforme (GBM). METHODS: A two-sample Mendelian randomization (MR)...

High-precision automated grading of flue-cured tobacco leaves based on hierarchical feature fusion.

Accurate grading of flue-cured tobacco leaves is crucial for tobacco quality control and industrial applications. However, traditional manual grading ...

Explainable deep learning combined with SERS for simultaneous detection of nicotine and etomidate isomers in E-cigarettes.

The incorporation of illegal drugs into e-cigarettes poses significant threats to both human health and societal safety. Therefore, the development of...

Understanding bias in older drivers' self-reported driving styles using naturalistic driving data.

OBJECTIVE: Accurate self-assessment of driving performance is critical for maintaining safety and mobility among older adults. However, many older dri...

Adherence to the 5A and 5R smoking cessation counselling models among Turkish family physicians: a multicenter cross-sectional study.

BACKGROUND: The 5A and 5R counselling models are widely recommended frameworks for smoking cessation; however, their implementation in primary care re...

Comparing Risk Profiles of Nicotine Pouch and Smokeless Tobacco Use in U.S. Adolescents: A Machine Learning Analysis.

Background: This study identified and compared the risk profiles associated with nicotine pouch (NP) and smokeless tobacco (ST) use among adolescents ...

Generative AI Empower Addiction-Related Brain Circuits Detection via Graph Diffusion-Infused Adversarial Learning.

The study of the nicotine addiction mechanism is of great significance in both nicotine withdrawal and brain science. The detection of addiction-relat...

Disentangling race and ethnicity in predicting symptoms of depression among young adults: A machine learning approach.

PURPOSE: Research is needed to understand racial and ethnic differences in symptoms of depression. Unfortunately, most studies examine these differenc...

Long-term outcomes of lateral sinus floor elevation: A machine-learning analysis, systematic review, and meta-analysis of predictive factors.

OBJECTIVES: To quantify long-term (≥ 5 years) implant survival after lateral sinus floor elevation (LSFE) and to identify clinical predictors of long-...

Wild mushroom consumption susceptibility among Chinese university students: A machine learning study.

OBJECTIVES: To investigate factors associated with susceptibility to wild mushroom consumption using machine learning approaches and identify key pred...

Explainable Machine Learning for Assessing Digital Health Literacy in Older Adults: Validation and Development of a Two-Stage Model Integrating Performance-Based and Self-Assessed Indicators.

BACKGROUND: Digital health literacy (DHL) is the ability to locate, understand, evaluate, and apply health information in digital environments. It is ...

Epidemiology of Peripheral Artery Disease, Risk Factors, and Trends.

Peripheral artery disease (PAD) affects more than 230 million people worldwide, with a disproportionate burden in low- and middle-income countries. PA...

Evaluating eight smoking metrics for modelling survival in non-small cell lung cancer.

INTRODUCTION: Smoking is a strong modifiable prognostic factor for lung cancer survival. We compared eight smoking metrics to determine which metric b...