OBJECTIVE, PARTICIPANTS, AND METHODS: In this study, the authors explored the psychometric properties of the Hooked on Nicotine Checklist (HONC) among 300 college students who were current smokers. The HONC is a 10-item survey instrument designed to measure diminished autonomy over smoking, a key aspect of dependence. Autonomy is diminished when symptoms present a barrier to cessation. RESULTS: Internal consistency was high (alpha = .89), as was concurrent validity. Students who began smoking earlier and heavier smokers reported more symptoms than did those who started later and smoked less. After controlling for smoking frequency, the HONC was predictive of the likelihood of a failed cessation attempt, with each additional symptom doubling that likelihood. CONCLUSIONS: College health professionals could use the HONC to help new smokers recognize their symptoms of diminished autonomy. The HONC may serve as a recruiting tool for cessation programs, which could benefit such early-phase smokers.

Within the field of addiction research, individuals tend to operate within silos of knowledge focused on specific drug classes. The discovery that tobacco dependence develops in a progression of stages and that the latency to the onset of withdrawal symptoms after the last use of tobacco changes over time have provided insights into how tobacco dependence develops that might be applied to the study of other drugs. As physical dependence on tobacco develops, it progresses through previously unrecognized clinical stages of wanting, craving and needing. The latency to withdrawal is a measure of the asymptomatic phase of withdrawal, extending from the last use of tobacco to the emergence of withdrawal symptoms. Symptomatic withdrawal is characterized by a wanting phase, a craving phase, and a needing phase. The intensity of the desire to smoke that is triggered by withdrawal correlates with brain activity in addiction circuits. With repeated tobacco use, the latency to withdrawal shrinks from as long as several weeks to as short as several minutes. The shortening of the asymptomatic phase of withdrawal drives an escalation of smoking, first in terms of the number of smoking days/month until daily smoking commences, then in terms of cigarettes smoked/day.The discoveries of the stages of physical dependence and the latency to withdrawal raises the question, does physical dependence develop in stages with other drugs? Is the latency to withdrawal for other substances measured in weeks at the onset of dependence? Does it shorten over time? The research methods that uncovered how tobacco dependence emerges might be fruitfully applied to the investigation of other addictions.

INTRODUCTION: We used a longitudinal cohort of U.S. adults who were current or former smokers to explore how three participant-reported factors - general stress, COVID-19 distress, and perceived risk of complications from COVID-19 related to smoking - were associated with changes in smoking status. METHODS: Smoking status was assessed at three time points. Timepoint 1 status was assessed at a prior study completion (2018-2020). Timepoint 2 (start of the pandemic) and Timepoint 3 (early phase of the pandemic) statuses were assessed using an additional survey in 2020. After classifying participants into eight groups per these time points, we compared the means of participant-reported factors and used a linear regression model to adjust for covariates. RESULTS: Participants (n=392) were mostly female (73.9%) and non-Hispanic White (70.1%). Between Timepoints 2 and 3, abstinence rates decreased by 11%, and 40% of participants reported a smoking status change. Among those reporting a change and the highest general stress levels, newly abstinent participants had higher perceived risk of complications from COVID-19 related to smoking than those who relapsed during pandemic (mean (standard deviation): 14.2 (3.3) vs. 12.6 (3.8)). Compared to participants who sustained smoking, those who sustained abstinence, on average, scored 1.94 less on the general stress scale (betaeta Coefficient (beta): -1.94, p-value < 0.01) and 1.37 less on the perceived risk of complications from COVID-19 related to smoking scale (beta: -1.37, p-value 0.02). CONCLUSIONS: Decreased abstinence rates are concerning. Patterns of reported factors were as expected for individuals who sustained their smoking behavior but not for those who changed. IMPLICATIONS: We observed an increase in smoking rates during the COVID-19 pandemic. In exploring how combinations of general stress levels, COVID-19 distress levels, and perceived risk of complications from COVID-19 related to smoking were associated with changes in smoking, we observed expected patterns of these factors among individuals who sustained abstinence or smoking. Among individuals who changed smoking status and reported high stress levels, those who reported a higher perceived risk of complications from COVID-19 related to smoking abstained from smoking. In contrast, those who reported a lower perceived risk of complications from COVID-19 related to smoking, started smoking. An intersectional perspective may be needed to understand smokers' pandemic-related behavior changes.

The Nicotine Dependence in Teens (NDIT) study is a prospective cohort investigation of 1294 students recruited in 1999-2000 from all grade 7 classes in a convenience sample of 10 high schools in Montreal, Canada. Its primary objectives were to study the natural course and determinants of cigarette smoking and nicotine dependence in novice smokers. The main source of data was self-report questionnaires administered in class at school every 3 months from grade 7 to grade 11 (1999-2005), for a total of 20 survey cycles during high school education. Questionnaires were also completed after graduation from high school in 2007-08 and 2011-12 (survey cycles 21 and 22, respectively) when participants were aged 20 and 24 years on average, respectively. In addition to its primary objectives, NDIT has embedded studies on obesity, blood pressure, physical activity, team sports, sedentary behaviour, diet, genetics, alcohol use, use of illicit drugs, second-hand smoke, gambling, sleep and mental health. Results to date are described in 58 publications, 20 manuscripts in preparation, 13 MSc and PhD theses and 111 conference presentations. Access to NDIT data is open to university-appointed or affiliated investigators and to masters, doctoral and postdoctoral students, through their primary supervisor (www.nditstudy.ca). behalf of the International Epidemiological Association.

Objective: Smoking cessation studies tailored for low-income and racial/ethnic minority cancer patients are limited. African American and low-socioeconomic status (SES) smokers have higher cancer mortality rates and are less likely to use evidence-based smoking cessation treatments compared with white and higher SES counterparts. Mindfulness training is a promising approach to address racial and SES disparities in smoking cessation. The authors assessed the feasibility and acceptability of a mindfulness-based smoking cessation (MBSC) medical group visit for low-income and racially diverse smokers with cancer. Design and intervention: The authors adapted the integrative medical group visit model used for chronic pain and included the You Can Quit smoking cessation curriculum used at the study site, Tobacco Treatment Center. The program was conducted in eight weekly 2-h visits. The authors then tested the feasibility and acceptability of this intervention for actively smoking cancer patients and cancer survivors in two pilot groups (N = 18) using a pre-post design. Setting/Location: This study took place at Boston Medical Center, a large urban safety net academic teaching hospital. Outcome measures: The authors used a medical group visit intake form to collect data on weekly cigarette intake and home practice. They also gathered additional qualitative data from focus groups and in-depth interviews. Results: Over 50% of participants (n = 10) self-identified as black and 56% reported an annual income of $20,000 or less. Over two-thirds of the participants attended four or more of the eight group visits. There was a significant decrease in weekly cigarette intake from 75.1 cigarettes at baseline to 44.3 at 3 months (p = 0.039). None of the participants quit smoking. Participants were satisfied with the program and reported positive lifestyle changes. Conclusion: MBSC group visits are feasible and acceptable among racially diverse and low-SES smokers with cancer and should be further studied in a larger cohort.

Objective: Chronic pain is a significant problem in patients living with hepatitis C virus (HCV). Tobacco smoking is an independent risk factor for high pain intensity among veterans. This study aims to examine the independent associations with smoking and HCV on pain intensity, as well as the interaction of smoking and HCV on the association with pain intensity. Design/Particpants: Cross-sectional analysis of a cohort study of veterans of Operations Enduring Freedom/Iraqi Freedom/New Dawn (OEF/OIF/OND) who had at least one visit to a Veterans Health Administration (VHA) primary care clinic between 2001 and 2014. Methods: HCV was identified using ICD-9 codes from electronic medical records (EMRs). Pain intensity, reported on a 0-10 numeric rating scale, was categorized as none/mild (0-3) and moderate/severe (4-10). Results: Among 654,841 OEF/OIF/OND veterans (median age [interquartile range] = 26 [23-36] years), 2,942 (0.4%) were diagnosed with HCV. Overall, moderate/severe pain intensity was reported in 36% of veterans, and 37% were current smokers. The adjusted odds of reporting moderate/severe pain intensity were 1.23 times higher (95% confidence interval [CI] = 1.14-1.33) for those with HCV and 1.26 times higher (95% CI = 1.25-1.28) for current smokers. In the interaction model, there was a significant Smoking Status x HCV interaction (P = 0.03). Among veterans with HCV, smoking had a significantly larger association with moderate/severe pain (adjusted odds ratio [OR] = 1.50, P < 0.001) than among veterans without HCV (adjusted OR = 1.26, P < 0.001). Conclusions: We found that current smoking is more strongly linked to pain intensity among veterans with HCV. Further investigations are needed to explore the impact of smoking status on pain and to promote smoking cessation and pain management in veterans with HCV.

BACKGROUND: Cigarette smoking increases risk for multiple diseases. MicroRNAs regulate gene expression and may play a role in smoking-induced target organ damage. We sought to describe a microRNA signature of cigarette smoking and relate it to smoking-associated clinical phenotypes, gene expression, and lung inflammatory signaling. METHODS AND RESULTS: Expression profiling of 283 microRNAs was conducted on whole blood-derived RNA from 5023 Framingham Heart Study participants (54.0% women; mean age, 55+/-13 years) using TaqMan assays and high-throughput reverse transcription quantitative polymerase chain reaction. Associations of microRNA expression with smoking status and associations of smoking-related microRNAs with inflammatory biomarkers and pulmonary function were tested with linear mixed effects models. We identified a 6-microRNA signature of smoking. Five of the 6 smoking-related microRNAs were associated with serum levels of C-reactive protein or interleukin-6; miR-1180 was associated with pulmonary function measures at a marginally significant level. Bioinformatic evaluation of smoking-associated genes coexpressed with the microRNA signature of cigarette smoking revealed enrichment for immune-related pathways. Smoking-associated microRNAs altered expression of selected inflammatory mediators in cell culture gain-of-function assays. CONCLUSIONS: We characterized a novel microRNA signature of cigarette smoking. The top microRNAs were associated with systemic inflammatory markers and reduced pulmonary function, correlated with expression of genes involved in immune function, and were sufficient to modulate inflammatory signaling. Our results highlight smoking-associated microRNAs and are consistent with the hypothesis that smoking-associated microRNAs serve as mediators of smoking-induced inflammation and target organ damage. These findings call for further mechanistic studies to explore the diagnostic and therapeutic use of smoking-related microRNAs.

BACKGROUND: Smoking is the leading cause of preventable death and disease, yet implementation of smoking cessation in inpatient settings is inconsistent. The Technology Inpatient Program for Smokers (TIPS) is an implementation program designed to reach smokers with a mobile health (mHealth) intervention using stakeholder-supported strategies. OBJECTIVE: The purpose of this study was to determine the impact of the TIPS implementation strategies on smoker-level engagement of the mHealth intervention during care transition. METHODS: We examined varying intensities (passive motivational posters only and posters + active nurse-led facilitation) of TIPS strategies on four hospital units located in two sites. Unit-level and smoker-level adoption was monitored during active implementation (30 weeks) and sustainability follow-up (30 weeks). Process measures reflecting the reach, effectiveness, adoption, implementation, maintenance (RE-AIM) framework, stakeholder reported adaptations of strategies, and formative evaluation data were collected and analyzed. RESULTS: For our smoker-level reach, 103 smokers signed up for the mHealth intervention in-hospital, with minimal decline during sustainability follow-up. While posters + nurse facilitation did not lead to higher reach than posters alone during active implementation (27 vs 30 signed up), it did lead to higher engagement of smokers (85.2% vs 73.3% completion of the full 2-week intervention). TIPS strategy adoption and fidelity varied by unit, including adoption of motivational posters (range: weeks 1 and 5), fidelity of posters (0.4% to 16.2% of posters missing per unit weekly) and internal facilitation of nurse training sessions (average of 2 vs 7.5 by site). Variable maintenance costs of the program totaled US $6.63 (US $683.28/103) per smoker reached. Reported family-member facilitation of mHealth sign-up was an observation of unintended behavior. CONCLUSIONS: TIPS is a feasible and low-cost implementation program that successfully engages smokers in an mHealth intervention and sustains engagement after discharge. Further testing of nurse facilitation and expanding reach to patient family and friends as an implementation strategy is needed.

BACKGROUND/AIMS: We investigated the psychometric properties of a German translation of the 12-item Autonomy over Tobacco Scale (AUTOS) among 1,195 eighth-grade students. METHODS: Data for this study were collected as part of the fourth wave of data collection of the Smokefree Class Competition intervention in the Saxony-Anhalt region of Germany. Students from the control arm of the Smokefree Class Competition study who indicated that they had ever smoked 'at least a few puffs' on a cigarette were classified as ever-smokers. They self-completed questionnaires distributed by teachers. RESULTS: AUTOS scores ranged from 0 to 36 with a distribution highly skewed toward lower-response categories. Inter-item correlations ranged from 0.65 to 0.89 (mean = 0.79, SD = 0.06). Composite reliability for the AUTOS was high (Omega = 0.96) and 3 lower-order factors were also reliable (withdrawal: 0.89, psychological dependence: 0.91, cue-induced cravings: 0.87). Concurrent validity was supported by strong relationships between the AUTOS and both lifetime cigarette consumption and current smoking frequency. Youths were 18 times more likely to be current smokers (95% CI = 11.9-27.2, p < 0.001) if they endorsed any AUTOS item. CONCLUSION: The German AUTOS is reliable and valid, and the results are consistent with the English AUTOS for use with adolescents.

OBJECTIVE: To assess the role of smoking on low birth weight (LBW). STUDY DESIGN: From Massachusetts for 1998, 79,904 birth certificates were reviewed. Birth weight, gestational age, plurality and maternal race were analyzed in relation to the mother's smoking status during the pregnancy. The etiologic fraction (EF) was calculated for smoking and LBW for the group as a whole as well as for various subgroups. RESULTS: A total of 11.7% of women acknowledged smoking during pregnancy. The overall LBW rate was 6.83%. The relative risk (RR) of LBW among smokers was 1.58. For all births the EF for smoking was 6.4% (95% CI: 5.4-7.3). For singleton pregnancies it was 10.9% (95% CI: 9.6-12.1) (14% for singleton whites and 7.2 for singleton blacks). At term, the EF of smoking on LBW was 13.4% (95% CI: 11.5-15.3), with an EF of 16.7% (95% CI: 14.5-18.7) for term singletons (21.4% among whites and 14.6% among blacks). Among very LBW infants, smoking accounted for 1.7% (95% CI:--0.5-3.8) of the outcome (5.8% among singletons). When stratifying for the effect of smoking, the rate of LBW was 6.38% among nonsmokers, 9.5% (RR 1.48, 1.38-1.61) among light smokers, 11.67% (RR 1.82, 1.63-2.05) among moderate smokers and 11.72% (RR 1.84, 1.33-2.54) among heavy smokers. Sixty percent of the overall population effect of smoking on LBW was in the category of light smokers. CONCLUSION: The amount of LBW attributable to smoking was 6.4% in this sample. Among those who smoked, LBW was 58% more likely than among nonsmokers, and 60% of the overall population effect of smoking on LBW was noted among light smokers.