Predictive Power of Dependence Measures for Quitting Smoking. Findings From the 2016 to 2018 ITC Four Country Smoking and Vaping Surveys | Zendy

Michael Le Grande | Zendy; Ron Borland | Zendy; HuaHie Yong | Zendy; K. Michael Cummings | Zendy; Ann McNeill | Zendy; Mary E. Thompson | Zendy; Geoffrey T. Fong | Zendy

Open Access

Predictive Power of Dependence Measures for Quitting Smoking. Findings From the 2016 to 2018 ITC Four Country Smoking and Vaping Surveys

Author(s) -

Michael Le Grande,

Ron Borland,

HuaHie Yong,

K. Michael Cummings,

Ann McNeill,

Mary E. Thompson,

Geoffrey T. Fong

Publication year - 2020

Publication title -

nicotine and tobacco research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.338

H-Index - 113

eISSN - 1469-994X

pISSN - 1462-2203

DOI - 10.1093/ntr/ntaa108

Subject(s) - odds ratio , confidence interval , medicine , smoking cessation , abstinence , logistic regression , addiction , demography , odds , quit smoking , tobacco control , smoke , psychiatry , public health , physics , nursing , pathology , sociology , meteorology

To test whether urges to smoke and perceived addiction to smoking have independent predictive value for quit attempts and short-term quit success over and above the Heaviness of Smoking Index (HSI).

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