The role of nicotine replacement therapy in early quitting success

Is occupation the "driving force" for tobacco consumption? A cross-sectional study to assess prevalence, patterns, and attitude towards tobacco use among long-distance bus drivers and conductors in Western Maharashtra

BACKGROUND

Tobacco use remains a major cause of preventable deaths worldwide. The recent Global Adult Tobacco Survey 2016-2017 has shown the prevalence of tobacco use among Indian population to be 28.6%. In Maharashtra, 35.5% of all adult males either smoke tobacco or use some form of smokeless tobacco. Not much data are available on tobacco use with respect to different occupations in India, though risk of tobacco use is known to be higher among individuals in certain occupations.

METHODS

This cross-sectional descriptive study was conducted among 190 long-distance bus drivers and conductors of long route buses departing from one of the main bus stations of the State Transport Corporation in Pune city. Data were collected using a pretested, structured questionnaire by interview method.

RESULTS

Prevalence of tobacco consumption (TC) among the respondents was 55.8% (95% confidence interval; 48.4-63). Among the tobacco users, 54% reported initiation at age <18 years "peer pressure" and "curiosity" were the main reasons for initiation while "feeling alert" and "feeling mature" were reasons for continued use. A large proportion (74.5%) of the respondents expressed their intention to quit tobacco in the near future.

CONCLUSION

Long-distance bus drivers and conductors showed a high prevalence of TC which may be linked to certain occupation-related factors. Targeted tobacco cessation activities at workplaces may be considered as a strategy for better impact of tobacco control activities in India.

Smoking reductions and increased self-efficacy in a randomized controlled trial of smoking abstinence-contingent incentives in residential substance abuse treatment patients

INTRODUCTION

Individuals with substance use disorders (SUDs) experience increased smoking-related morbidity and mortality but severely compromised smoking treatment benefits. Residential SUD treatment settings may be particularly positioned to target smoking, with ever-increasing smoking bans and culture shifts, but most smokers continue smoking. This study examined the effects of contingency management (CM) for increasing smoking abstinence in residential patients.

METHODS

Smokers interested in quitting were recruited from a residential SUD program for men and were randomized to frequent smoking monitoring with behavioral support (monitoring; n = 21) or that plus smoking abstinence-contingent (expired carbon monoxide [CO] ≤ 6 ppm; urinary cotinine ≤ 30ng/ml) incentives (CM, n = 24) for 4 weeks. After setting a quit date, procedures included daily behavioral support and smoking self-reports, 2 CO samples (a.m./p.m.) Monday through Friday, and cotinine tests on Mondays. CM participants received escalating draws for prizes ($1, $20, and $100 values) for negative tests; positive and missed samples reset draws. Follow-ups involved samples, self-reported smoking, and self-efficacy (weeks 4, 8, 12, and 24).

RESULTS

Percent days CO-negative was higher with CM (median [interquartile range] 51.7% [62.8%]) compared to monitoring (0% [32.1%]) (p = .002). Cigarettes per day declined and point-prevalence abstinence increased through follow-up (p < .01), without significant group by time effects (p > .05). Abstinence self-efficacy increased overall during the intervention and more with CM compared to monitoring and was associated with abstinence across conditions through follow-up.

CONCLUSIONS

CM improved some measures of response to smoking treatment in residential SUD patients.

A randomised controlled trial linking mental health inpatients to community smoking cessation supports: a study protocol

BACKGROUND

Mental health inpatients smoke at higher rates than the general population and are disproportionately affected by tobacco dependence. Despite the advent of smoke free policies within mental health hospitals, limited systems are in place to support a cessation attempt post hospitalisation, and international evidence suggests that most smokers return to pre-admission smoking levels following discharge. This protocol describes a randomised controlled trial that will test the feasibility, acceptability and efficacy of linking inpatient smoking care with ongoing community cessation support for smokers with a mental illness.

METHODS/DESIGN

This study will be conducted as a randomised controlled trial. 200 smokers with an acute mental illness will be recruited from a large inpatient mental health facility. Participants will complete a baseline survey and will be randomised to either a multimodal smoking cessation intervention or provided with hospital smoking care only. Randomisation will be stratified by diagnosis (psychotic, non-psychotic). Intervention participants will be provided with a brief motivational interview in the inpatient setting and options of ongoing smoking cessation support post discharge: nicotine replacement therapy (NRT); referral to Quitline; smoking cessation groups; and fortnightly telephone support. Outcome data, including cigarettes smoked per day, quit attempts, and self-reported 7-day point prevalence abstinence (validated by exhaled carbon monoxide), will be collected via blind interview at one week, two months, four months and six months post discharge. Process information will also be collected, including the use of cessation supports and cost of the intervention.

DISCUSSION

This study will provide comprehensive data on the potential of an integrated, multimodal smoking cessation intervention for persons with an acute mental illness, linking inpatient with community cessation support.

Conceptualizing and Estimating Process Speed in Studies Employing Ecological Momentary Assessment Designs: A Multilevel Variance Decomposition Approach

Researchers have been making use of ecological momentary assessment (EMA) and other study designs that sample feelings and behaviors in real time and in naturalistic settings to study temporal dynamics and contextual factors of a wide variety of psychological, physiological, and behavioral processes. As EMA designs become more widespread, questions are arising about the frequency of data sampling, with direct implications for participants' burden and researchers' ability to capture and study dynamic processes. Traditionally, spectral analytic techniques are used for time series data to identify process speed. However, the nature of EMA data, often collected with fewer than 100 measurements per person, sampled at randomly spaced intervals, and replete with planned and unplanned missingness, precludes application of traditional spectral analytic techniques. Building on principles of variance partitioning used in the generalizability theory of measurement and spectral analysis, we illustrate the utility of multilevel variance decompositions for isolating process speed in EMA-type data. Simulation and empirical data from a smoking-cessation study are used to demonstrate the method and to evaluate the process speed of smoking urges and quitting self-efficacy. Results of the multilevel variance decomposition approach can inform process-oriented theory and future EMA study designs.

Clinical management of smoking cessation: patient factors affecting a reward-based approach

Although the majority of current smokers indicate they would like to quit, only about half of smokers make a quit attempt each year. Of those who attempt to quit, only about 5% are successful. Many effective products and programs are available to assist in smoking cessation; however those interested in quitting often do not make use of these resources. To increase use of cessation products in order to improve successful cessation rates, the Consumer Demand Roundtable has argued that smokers need to be viewed as consumers of cessation products rather than as patients needing treatment. With this consumer-based approach in mind, the current review examines how participant characteristics, perceptions, and behavior influence, and are influenced by, contingency management (CM) paradigms in various settings. Findings suggest that participant factors associated with success in these programs include demographic characteristics (eg, gender, marital status), self-efficacy, motivation to quit, and impulsivity. Overall, participants perceive incentives for successful cessation as motivating. However, such programs may involve greater withdrawal symptoms (eg, craving for cigarettes) initially, but these symptoms tend to decrease at a greater rate over time compared with nonincentive group participants. CM programs have also been shown to be successful across a number of settings (eg, communities, schools), including settings in which smokers are often considered difficult to treat (eg, substance abuse treatment centers). Overall, CM programs are perceived positively by participants and can increase rates of successful cessation. Furthermore, CM interventions have the flexibility to adapt to individual preferences and needs, leading to greater participation and likelihood of successful cessation. Thus, CM provides an important framework for addressing the need for consumer-focused smoking cessation interventions.