Smoking Behavior and Cessation

External reference: https://openalex.org/T10060

  1. U.S. smoking declined from 2019 to 2023
    Analysis of smoking prevalence by employment status among U.S. adults from 2019-2023 reveals disparities, with vulnerable populations unable to work showing limited progress.
  2. Machine-learning algorithms improved smoking identification in health records
    Study comparing machine learning and rule-based algorithms for identifying smokers in administrative health data found ML models doubled sensitivity for detecting current smokers.
  3. Smokers report continuing despite health and environmental risks
    Empirical study examining smoking behavior through biopsychosocial framework, revealing that individual attitudes and motivational factors override health risk perception in smoking persistence.
  4. Contact information linked to tobacco coupon receipt and use
    Study examining tobacco coupon receipt, redemption, and cross-product marketing among U.S. adult tobacco users, documenting tobacco industry engagement strategies and subsequent purchase behavior.