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. 2016 Mar 1;4(2):183-193.
doi: 10.1177/2167702615584589. Epub 2015 Jul 10.

Childhood adversity interacts with adult stressful events to predict reduced likelihood of smoking cessation among women but not men

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Childhood adversity interacts with adult stressful events to predict reduced likelihood of smoking cessation among women but not men

Philip H Smith et al. Clin Psychol Sci. .

Abstract

Research has documented important sex differences in associations between early stress, stress-sensitization, and psychiatric outcomes. The current study investigated whether sex differences in stress-sensitization extended to cigarette smoking cessation. Data were analyzed from the National Epidemiologic Survey on Alcohol and Related Conditions (waves 1 and 2), selecting for current daily and non-daily smokers at wave 1 (daily smokers: n=3,499 women, 3055 men; non-daily smokers: n=451 women, 501 men). Three-way interactions between sex, childhood adversity, and past year stressful life events were modeled in the prediction of smoking cessation. Among women, stressful life events were more strongly related to lower likelihood of smoking cessation for those with a history of childhood adversity than those without. This relationship was not found among men. The stress-sensitization model may be applicable to women with regards to smoking cessation, supporting further exploration of stress-sensitization as a prevention and clinical target for smoking cessation.

Keywords: Addictive disorders; Child Trauma; Sex Differences; Stress.

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Figures

Figure 1
Figure 1. Daily smokers
sex differences in the interaction between past year stressful life events (SLE; wave 2) and childhood adversity (measured at wave 2), predicting smoking cessation by wave 2. Estimates accounted for the survey design, and were adjusted for age, income, education, and race/ethnicity (all measured at wave 1).
Figure 2
Figure 2. Non-daily smokers
sex differences in the interaction between past year stressful life events (SLE; wave 2) and childhood adversity (measured at wave 2), predicting smoking cessation by wave 2. Estimates accounted for the survey design, and were adjusted for age, income, education, and race/ethnicity (all measured at wave 1).

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