Treatment engagement mediates the links between symptoms of anxiety, depression, and alcohol use disorder with abstinence among smokers registered on an Internet cessation program

Differences between adult sexual minority females and heterosexual females on menthol smoking and other smoking behaviors: Findings from Wave 4 (2016-2018) of the population assessment of tobacco and health study

BACKGROUND

Sexual minority females have higher rates of cigarette smoking than heterosexual females. Additionally, menthol cigarette use disproportionately impacts minority smokers, including sexual minority individuals. This study examined differences between sexual minority and heterosexual females on several smoking variables, including initiation with a menthol cigarette, and past 30-day cigarette and menthol cigarette use.

METHODS

Participants were female ever smokers (N = 11,576; n = 1,474, 12.7% sexual minority) who completed Wave 4 of the Population Assessment of Tobacco and Health Survey. Participants reported on the age they began smoking regularly (≤18 years old, 18-24, >25), whether they initiated with a menthol cigarette, past 30-day cigarette smoking and menthol cigarette use, cigarettes smoked per day (≤10, 11-20, >20), cigarette dependence (smoke ≤ 5 min of waking or > 5 min of waking), and whether they were a current (someday/every day) or former (no past year/current use) established smoker (≥100 lifetime cigarettes), or an experimental smoker (<100 lifetime cigarettes). Chi-square and multivariable logistic regression analyses examined differences between sexual minority females and heterosexual females on smoking variables.

RESULTS

Sexual minority female smokers began smoking regularly at an earlier age and smoked fewer cigarettes per day than heterosexual females. Sexual minority females were more likely to initiate smoking with a menthol cigarette (aOR = 1.27), report past 30-day smoking (aOR = 1.36) and menthol cigarette use (aOR = 1.24) compared to heterosexual females. There were no differences on cigarette dependence.

CONCLUSIONS

Given the high rates of initiation and current menthol smoking, policies to regulate menthol may decrease smoking disparities for sexual minority females.

Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials

OBJECTIVE

Guidance is needed on studying engagement and treatment effects in digital health interventions, including levels required for benefit. We evaluated multiple analytic approaches for understanding the association between engagement and clinical outcomes.

MATERIALS AND METHODS

We defined engagement as intervention participants' response rate to interactive text messages, and considered moderation, standard regression, mediation, and a modified instrumental variable (IV) analysis to investigate the relationship between engagement and clinical outcomes. We applied each approach to two randomized controlled trials featuring text message content in the intervention: REACH (Rapid Encouragement/Education and Communications for Health), which targeted diabetes, and VERB (Vanderbilt Emergency Room Bundle), which targeted hypertension.

RESULTS

In REACH, the treatment effect on hemoglobin A1c was estimated to be -0.73% (95% CI: [-1.29, -0.21]; P = 0.008), and in VERB, the treatment effect on systolic blood pressure was estimated to be -10.1 mmHg (95% CI: [-17.7, -2.8]; P = 0.007). Only the IV analyses suggested an effect of engagement on outcomes; the difference in treatment effects between engagers and non-engagers was -0.29% to -0.51% in the REACH study and -1.08 to -3.25 mmHg in the VERB study.

DISCUSSION

Standard regression and mediation have less power than a modified IV analysis, but the IV approach requires specification of assumptions. This is the first review of the strengths and limitations of various approaches to evaluating the impact of engagement on outcomes.

CONCLUSIONS

Understanding the role of engagement in digital health interventions can help reveal when and how these interventions achieve desired outcomes.

Depression symptom profiles and long-term response to cognitive behavioral therapy plus contingency management for smoking cessation

BACKGROUND

Depression is heterogeneous in nature and using diagnostic categories limits insight into understanding psychopathology and its impact on treatment efficacy. This secondary analysis sought to: 1) identify distinct subpopulations of cigarette users with depression, and 2) examine their response to cognitive-behavioral treatment (CBT) + contingency management (CM) for smoking cessation at one year.

METHOD

The sample comprised 238 (74 % females) adults who smoke receiving CBT only or CBT + CM. A latent class analysis was conducted on baseline depressive symptoms measured using the Beck Depression Inventory-II. Generalized estimating equations assessed the main and interactive effects of class, time, treatment, and sex on smoking abstinence.

RESULTS

Three distinct classes were identified: C1 (n= 76/238), characterized by mild depression, loss of energy, pessimism, and criticism, C2 (n= 100/238) presenting moderate severity and decreased appetite, and C3 (n= 62/238) showing severe depression, increased appetite, and feelings of punishment. There was a significant cluster × treatment interaction, which indicated additive effects of CM over CBT alone for Class 1 and 2. Persons in Class 1 and 2 were 3.60 [95 % CI: 1.62, 7.97] and 2.65 [95 % CI: 1.19, 5.91] times more likely to be abstinent if CBT + CM was delivered rather than CBT only. No differential sex effects were observed on treatment response according to cluster.

CONCLUSIONS

Profiling depression symptom subtypes of cigarette users may be more informative to improve CM treatment response than merely focusing on total scores.

Engaging People in Tobacco Prevention and Cessation: Reflecting Back Over 20 Years Since the Master Settlement Agreement

Over the past 20 years, tobacco prevention and cessation efforts have evolved to keep pace with the changing tobacco product landscape and the widespread adoption of digital technologies. In 2019, Truth Initiative was awarded the Society of Behavioral Medicine’s Jessie Gruman Award for Health Engagement in recognition of the major role it has played on both fronts since its inception in 1999. This manuscript reviews the challenges and opportunities that have emerged over the past two decades, the evolving tactics deployed by Truth Initiative to engage people in tobacco prevention and cessation efforts, the approaches used to evaluate those efforts, and key achievements. It concludes with a summary of lessons learned and considerations for tobacco control researchers and practitioners to accelerate their impact on public health.

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

INTRODUCTION

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.

METHODS

Participants (N = 2637) enrolled in a randomized controlled trial of web-based smoking treatments completed a battery of five ADS screening instruments and answered a single-item question about having ADS. Those with a positive self-report on the single-item question were also asked about their interference beliefs. The primary outcome was complete-case, self-reported 30-day point prevalence abstinence at 12 months.

RESULTS

Both assessment approaches significantly predicted cessation. Screening positive for ≥ one ADS in the battery was associated with 23% lower odds of quitting than not screening positive for any (p = .023); those with a positive self-report on the single-item had 39% lower odds of quitting than self-reporting no mental health conditions (p < .001). Area under the receiver operating characteristic curve values for the two assessment approaches were similar (p = .136). Adding the interference belief question to the single-item assessment significantly increased the area under the receiver operating characteristic curve value (p = .042).

CONCLUSIONS

The single-item question assessing ADS had as much predictive validity, and possibly more, than the battery of screening instruments for identifying participants at risk for failing to quit smoking. Adding a question about interference beliefs significantly increased the predictive utility of the single-item question.

IMPLICATIONS

This is the first study to demonstrate that a single-item question assessing ADS has at least as much predictive validity, and possibly more, than a battery of validated screening instruments for identifying smokers at highest risk for cessation failure. This study also demonstrates adding a question about interference beliefs significantly adds to the predictive utility of a single, self-report question about mental health conditions. Findings from this study can be used to inform decisions regarding how to assess ADS in the context of tobacco treatment settings.

A Digital Smoking Cessation Program for Heavy Drinkers: Pilot Randomized Controlled Trial

Background

Heavy drinking (HD) is far more common among smokers compared with nonsmokers and interferes with successful smoking cessation. Alcohol-focused smoking cessation interventions delivered by counselors have shown promise, but digital versions of these interventions—which could have far greater population reach—have not yet been tested.

Objective

This pilot randomized controlled trial aimed to examine the feasibility, acceptability, and effect sizes of an automated digital smoking cessation program that specifically addresses HD using an interactive web-based intervention with an optional text messaging component.

Methods

Participants (83/119, 69.7% female; 98/119, 82.4% white; mean age 38.0 years) were daily smokers recruited on the web from a free automated digital smoking cessation program (BecomeAnEX.org, EX) who met the criteria for HD: women drinking 8+ drinks/week or 4+ drinks on any day and men drinking 15+ drinks/week or 5+ drinks on any day. Participants were randomized to receive EX with standard content (EX-S) or an EX with additional content specific to HD (EX-HD). Outcomes were assessed by web-based surveys at 1 and 6 months.

Results

Participants reported high satisfaction with the website and the optional text messaging component. Total engagement with both EX-S and EX-HD was modest, with participants visiting the website a median of 2 times, and 52.9% of the participants enrolled to receive text messages. Participants in both the conditions showed substantial, significant reductions in drinking across 6 months of follow-up, with no condition effects observed. Although smoking outcomes tended to favor EX-HD, the condition effects were small and nonsignificant. A significantly smaller proportion of participants in EX-HD reported having a lapse back to smoking when drinking alcohol (7/58, 16%) compared with those in EX-S (18/61, 41%; χ²₁=6.2; P=.01).

Conclusions

This is the first trial to examine a digital smoking cessation program tailored to HD smokers. The results provide some initial evidence that delivering such a program is feasible and may reduce the risk of alcohol-involved smoking lapses. However, increasing engagement in this and other web-based interventions is a crucial challenge to address in future work.

Trial Registration

ClinicalTrials.gov NCT03068611; https://clinicaltrials.gov/ct2/show/NCT03068611

Trends in the Prevalence of Current, Daily, and Nondaily Cigarette Smoking and Quit Ratios by Depression Status in the U.S.: 2005-2017

INTRODUCTION

Cigarette smoking remains more common among individuals with depression. This study investigates whether cigarette quit ratios and cigarette use prevalence have changed differentially by depression status during the past decade.

METHODS

National Survey on Drug Use and Health data (2005-2017) were analyzed in 2019. Respondents aged ≥12 years were included in analyses of smoking prevalence (n=728,691) and respondents aged ≥26 years were included in analyses of quit ratio (n=131,412). Time trends in smoking prevalence (current, daily, and nondaily) and quit ratio (former/lifetime smokers) were estimated, stratified by past-year depression. Adjusted analyses controlled for demographics.

RESULTS

Smoking prevalence was consistently higher among those with depression than those without depression. From 2005 to 2017, nondaily smoking did not significantly change among individuals with depression (9.25% to 9.40%; AOR=0.995, 95% CI=0.986, 1.005), whereas it decreased from 7.02% to 5.85% among those without depression (AOR=0.986, 95% CI=0.981, 0.990). By contrast, daily smoking declined among individuals with (25.21% to 15.11%; AOR=0.953, 95% CI=0.945, 0.962) and without depression (14.94% to 9.76%; AOR=0.970, 95% CI=0.967, 0.973). The quit ratio increased among individuals with (28.61% to 39.75%; AOR=1.036, 95% CI=1.021, 1.052) and without depression (47.65% to 53.09%; AOR=1.013, 95% CI=1.009, 1.017), yet quit ratios were consistently lower for those with depression than those without depression.

CONCLUSIONS

Quit ratios are increasing and smoking prevalence is decreasing overall, yet disparities by depression status remain significant. Disparities in quit ratio may be one contributing factor to the elevated prevalence of smoking among those with depression. Innovative tobacco control approaches for people with depression appear long overdue.