Smoking Behavior and Cessation
External reference: https://openalex.org/T10060
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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.
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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.
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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.
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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.

