AIMS: To investigate pathways through which momentary negative affect and depressive symptoms affect risk of lapse during smoking cessation attempts. DESIGN: Ecological momentary assessment was carried out during 2 weeks after an unassisted smoking cessation attempt. A 3-month follow-up measured smoking frequency. SETTING: Data were collected via mobile devices in German-speaking Switzerland. PARTICIPANTS: A total of 242 individuals (age 20-40, 67% men) reported 7112 observations. MEASUREMENTS: Online surveys assessed baseline depressive symptoms and nicotine dependence. Real-time data on negative affect, physical withdrawal symptoms, urge to smoke, abstinence-related self-efficacy and lapses. FINDINGS: A two-level structural equation model suggested that on the situational level, negative affect increased the urge to smoke and decreased self-efficacy (β = 0.20; β = -0.12, respectively), but had no direct effect on lapse risk. A higher urge to smoke (β = 0.09) and lower self-efficacy (β = -0.11) were confirmed as situational antecedents of lapses. Depressive symptoms at baseline were a strong predictor of a person's average negative affect (β = 0.35, all P < 0.001). However, the baseline characteristics influenced smoking frequency 3 months later only indirectly, through influences of average states on the number of lapses during the quit attempt. CONCLUSIONS: Controlling for nicotine dependence, higher depressive symptoms at baseline were associated strongly with a worse longer-term outcome. Negative affect experienced during the quit attempt was the only pathway through which the baseline depressive symptoms were associated with a reduced self-efficacy and increased urges to smoke, all leading to the increased probability of lapses.
AIMS: To investigate pathways through which momentary negative affect and depressive symptoms affect risk of lapse during smoking cessation attempts. DESIGN: Ecological momentary assessment was carried out during 2 weeks after an unassisted smoking cessation attempt. A 3-month follow-up measured smoking frequency. SETTING: Data were collected via mobile devices in German-speaking Switzerland. PARTICIPANTS: A total of 242 individuals (age 20-40, 67% men) reported 7112 observations. MEASUREMENTS: Online surveys assessed baseline depressive symptoms and nicotine dependence. Real-time data on negative affect, physical withdrawal symptoms, urge to smoke, abstinence-related self-efficacy and lapses. FINDINGS: A two-level structural equation model suggested that on the situational level, negative affect increased the urge to smoke and decreased self-efficacy (β = 0.20; β = -0.12, respectively), but had no direct effect on lapse risk. A higher urge to smoke (β = 0.09) and lower self-efficacy (β = -0.11) were confirmed as situational antecedents of lapses. Depressive symptoms at baseline were a strong predictor of a person's average negative affect (β = 0.35, all P < 0.001). However, the baseline characteristics influenced smoking frequency 3 months later only indirectly, through influences of average states on the number of lapses during the quit attempt. CONCLUSIONS: Controlling for nicotine dependence, higher depressive symptoms at baseline were associated strongly with a worse longer-term outcome. Negative affect experienced during the quit attempt was the only pathway through which the baseline depressive symptoms were associated with a reduced self-efficacy and increased urges to smoke, all leading to the increased probability of lapses.
Authors: Paul E Etcheverry; Andrew J Waters; Cho Lam; Virmarie Correa-Fernandez; Jennifer Irvin Vidrine; Paul M Cinciripini; David W Wetter Journal: Health Psychol Date: 2016-08 Impact factor: 4.267
Authors: James Russell Pike; Bin Xie; Nasya Tan; Melanie Dee Sabado-Liwag; Annette Orne; Tupou Toilolo; Steven Cen; Vanessa May; Cevadne Lee; Victor Kaiwi Pang; Michelle A Rainer; Dorothy Etimani S Vaivao; Jonathan Tana Lepule; Sora Park Tanjasiri; Paula Healani Palmer Journal: JMIR Mhealth Uhealth Date: 2016-01-07 Impact factor: 4.773