Open AccessWhich 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 , abstinence , odds , receiver operating characteristic , medicine , odds ratio , anxiety , predictive validity , clinical psychology , depression (economics) , randomized controlled trial , psychiatry , psychology , logistic regression , 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.