Which Method of Assessing Depression and Anxiety Best Predicts Smoking Cessation: Screening Instruments or Self-Reported Conditions? | Zendy

Noreen L Watson | Zendy; Jaimee L. Heffner | Zendy; Kristin E. Mull | Zendy; Jennifer B. McClure | Zendy; Jonathan B. Bricker | Zendy

Open Access

Which Method of Assessing Depression and Anxiety Best Predicts Smoking Cessation: Screening Instruments or Self-Reported Conditions?

Author(s) -

Noreen L Watson,

Jaimee L. Heffner,

Kristin E. Mull,

Jennifer B. McClure,

Jonathan B. Bricker

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/ntaa099

Subject(s) - smoking cessation , depression (economics) , anxiety , clinical psychology , psychiatry , medicine , psychology , pathology , economics , macroeconomics

Affective disorders and symptoms (ADS) are predictive of lower odds of quitting smoking. However, it is unknown which approach to assessing ADS best predicts cessation. This study compared a battery of ADS screening instruments with a single, self-report question on predicting cessation. Among those who self-reported ADS, we also examined if an additional question regarding whether participants believed the condition(s) might interfere with their ability to quit added predictive utility to the single-item question.

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