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The Time-Varying Relations Between Risk Factors and Smoking Before and After a Quit Attempt.

ABSTRACT: Introduction:Intensive longitudinal data (ILD) collected with ecological momentary assessments (EMAs) can provide a rich resource for understanding the relations between risk factors and smoking in the time surrounding a cessation attempt. Methods:Participants (N = 142) were smokers seeking treatment at a safety-net hospital smoking cessation clinic who were randomly assigned to receive standard clinic care (ie, counseling and cessation medications) or standard care plus small financial incentives for biochemically confirmed smoking abstinence. Participants completed EMAs via study provided smartphones several times per day for 14 days (1 week prequit through 1 week postquit). EMAs assessed current contextual factors including environmental (eg, easy access to cigarettes, being around others smoking), cognitive (eg, urge to smoke, stress, coping expectancies, cessation motivation, cessation self-efficacy, restlessness), behavioral (ie, recent smoking and alcohol consumption), and affective variables. Temporal relations between risk factors and smoking were assessed using a logistic time-varying effect model. Results:Participants were primarily female (57.8%) and Black (71.8%), with an annual household income of <$20000 per year (71.8%), who smoked 17.6 cigarettes per day (SD = 8.8). Individuals assigned to the financial incentives group had decreased odds of smoking compared with those assigned to usual care beginning 3 days before the quit attempt and continuing throughout the first week postquit. Environmental, cognitive, affective, and behavioral variables had complex time-varying impacts on smoking before and after the scheduled quit attempt. Conclusions:Knowledge of time-varying effects may facilitate the development of interventions that target specific psychosocial and behavioral variables at critical moments in the weeks surrounding a quit attempt. Implications:Previous research has examined time-varying relations between smoking and negative affect, urge to smoke, smoking dependence, and certain smoking cessation therapies. We extend this work using ILD of unexplored variables in a socioeconomically disadvantaged sample of smokers seeking cessation treatment. These findings could be used to inform ecological momentary interventions that deliver treatment resources (eg, video- or text-based content) to individuals based upon critical variables surrounding their attempt.

SUBMITTER: Koslovsky MD

PROVIDER: S-EPMC6121909 | biostudies-other | 2018 Sep

REPOSITORIES: biostudies-other

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The Time-Varying Relations Between Risk Factors and Smoking Before and After a Quit Attempt.

Koslovsky Matthew D MD Hébert Emily T ET Swartz Michael D MD Chan Wenyaw W Leon-Novelo Luis L Wilkinson Anna V AV Kendzor Darla E DE Businelle Michael S MS

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco 20180901 10

<h4>Introduction</h4>Intensive longitudinal data (ILD) collected with ecological momentary assessments (EMAs) can provide a rich resource for understanding the relations between risk factors and smoking in the time surrounding a cessation attempt.<h4>Methods</h4>Participants (N = 142) were smokers seeking treatment at a safety-net hospital smoking cessation clinic who were randomly assigned to receive standard clinic care (ie, counseling and cessation medications) or standard care plus small fin ...[more]

PMID: 29059413

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Project description:IntroductionResearch shows that abstinence from tobacco leads to a withdrawal-related decrement in responsivity to nondrug rewards (ie, anhedonia). However, it remains unclear how anhedonia relates to other key withdrawal symptoms and withdrawal-related constructs over time. We analyzed ecological momentary assessment data to examine whether a decrement in response to rewards during a 10-day period following quitting shows a pattern of associations with other variables (ie, treatment, tobacco dependence, negative affect, and craving) that is consistent with anhedonia being a tobacco withdrawal symptom.MethodsAs part of a randomized controlled trial of smoking cessation therapies, 1122 adults (58% female) were assigned to: placebo (n = 131), bupropion (alone or with nicotine lozenge; n = 401), or nicotine replacement therapy (NRT; lozenge, patch, both; n = 590). Participants completed 4 ecological momentary assessments per day for 10 days postquit, resulting in 22 575 assessments.ResultsTime-varying effect modeling showed that anhedonia was significantly greater among those high in dependence relative to lower dependent smokers out to day 9 postquit. The placebo group showed elevated anhedonia immediately postquit, which fell to levels similar to the treatment groups by day 7. NRT effectively reduced anhedonia and its time-varying association with craving early in the quit attempt. The positive association between negative affect and anhedonia was moderate and stable over time for both active treatment groups.ConclusionsThese results provide additional support that anhedonia following quitting smoking is a manifestation of the tobacco withdrawal syndrome.ImplicationsThis study supported the hypothesis that diminished responsivity to nondrug rewards (ie, anhedonia) is a symptom of the tobacco withdrawal syndrome. Results showed that anhedonia: (1) was significantly associated with dependence, especially during the early postquit period when withdrawal was at its peak intensity; (2) showed significant time-varying associations with other withdrawal symptoms, especially craving; and (3) was significantly suppressed by agonist administration as was its association with craving over time.

Project description:AIMS:To assess whether individuals trying to quit smoking who have high depressive symptoms (HD), compared with low depressive symptoms (LD): (1) report more frequent stressful events (SEs), (2) are more likely to smoke after SEs, (3) experience greater acute or persistent changes in affect after an SE, and (4) are at greater risk of smoking following affective changes. DESIGN:Smoking cessation data were analyzed using multi-level path modeling to examine the moderating effects of depressive symptoms on relations among SEs, subsequent affect, and smoking. SETTING:An academic research center in Central New Jersey, USA. PARTICIPANTS:Seventy-one adult treatment-seeking daily smokers recruited from 2010 to 2012. MEASUREMENTS:Baseline depressive symptoms [HD: Center for Epidemiological Studies Depression Scale (CES-D) ? 16 versus LD: CES-D < 16]; and real-time ecological momentary assessment (EMA) reports of SEs, affect, and smoking assessed during 21 days post-quit. FINDINGS:Multi-level models indicated that HD smokers were more likely than LD smokers to report stressful events [odds ratio (OR) = 2.323, P = 0.009], but had similar post-stress acute affective changes (negative affect: b = -0.117, P = 0.137, positive affect: b = 0.020, P = 0.805). Only HD smokers reported increased negative affect (NA) (b = 0.199, P = 0.030) and decreased positive affect (PA) up to 12 hours later (b = -0.217, P = 0.021), and greater lapse risk up to 24 hours after an SE (OR = 3.213, P = 0.017). The persistence of elevated NA and suppressed PA was partially explained by increased odds of subsequent SEs among HD smokers. However, the heightened stress-lapse association over 24 hours found in HD smokers was not fully explained by sustained aversive affect or subsequent SEs. CONCLUSIONS:Depressed and non-depressed smokers trying to quit appear to experience similar acute affective changes following stress: however, depressed smokers experience higher rates of exposure to stress, longer-lasting post-stress affective disturbance and greater risk of smoking lapse 12-24 hours after a stressful event than non-depressed smokers.

Project description:BackgroundRisk factors increase the incidence and severity of chronic disease. To examine future trends and develop policies addressing chronic diseases, it is important to capture the relationship between exposure and disease development, which is challenging given limited data.ObjectiveTo develop parsimonious risk factor models embeddable in chronic disease models, which are useful when longitudinal data are unavailable.DesignThe model structures encode relevant features of risk factors (e.g., time-varying, modifiable) and can be embedded in chronic disease models. Calibration captures time-varying exposures for the risk factor models using available cross-sectional data. We illustrate feasibility with the policy-relevant example of smoking in India.MethodsThe model is calibrated to the prevalence of male smoking in 12 Indian regions estimated from the 2009-2010 Indian Global Adult Tobacco Survey. Nelder-Mead searches (250,000 starting locations) identify distributions of starting, quitting, and restarting rates that minimize the difference between modeled and observed age-specific prevalence. We compare modeled life expectancies to estimates in the absence of time-varying risk exposures and consider gains from hypothetical smoking cessation programs delivered for 1 to 30 years.ResultsCalibration achieves concordance between modeled and observed outcomes. Probabilities of starting to smoke rise and fall with age, while quitting and restarting probabilities fall with age. Accounting for time-varying smoking exposures is important, as not doing so produces smaller estimates of life expectancy losses. Estimated impacts of smoking cessation programs delivered for different periods depend on the fact that people who have been induced to abstain from smoking longer are less likely to restart.ConclusionsThe approach described is feasible for important risk factors for numerous chronic diseases. Incorporating exposure-change rates can improve modeled estimates of chronic disease outcomes and of the long-term effects of interventions targeting risk factors.

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The Time-Varying Relations Between Risk Factors and Smoking Before and After a Quit Attempt.

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The Time-Varying Relations Between Risk Factors and Smoking Before and After a Quit Attempt.

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