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2006, Tobacco Induced Diseases
Limiting attrition (i.e., participant dropout before the conclusion of a study) is a major challenge faced by researchers when implementing clinical trials. Data from a smoking cessation trial for females (N = 246) were analyzed in order to identify baseline smoking-related, demographic and psychological characteristics affecting likelihood of early (i.e., before the quit attempt) and late (i.e., after the quit attempt) dropout. There were a number of significant demographic predictors of attrition. Participants with at least one child living at home were at increased risk of both early and late dropout. Non-Whites were at increased risk of early dropout, while not having a college degree put one at increased risk of late dropout. Age was found to be a protective factor in that the older a participant was, the less likely she was to drop out in the early stages of the trial. With respect to psychological variables, weight concerns increased risk of attrition, as did the experience of guilt. In terms of smoking-related variables, mean cigarettes per day was not a significant predictor of attrition, although length of longest prior quit attempt was a significant predictor of early dropout when age was removed from the regression.
Preventive Medicine, 1996
or the escalation of smoking over time. This design is Background. In longitudinal smoking prevention also useful for studying developmental sequences: for studies, a difficulty in evaluating treatment effects is example, when smoking cigarettes is followed by mariunderstanding whether bias is associated with those juana use and later by other illegal drug use. 2 One who do not complete the study. This study presents important characteristic of the longitudinal design is the significant predictors of attrition and suggests how the ability to compare the same individual at different to reduce attrition bias in evaluating program effects. time points, that is, to conduct within-individual analy-Methods. Survival analysis methods were used to asses of change. Information about within-individual sess factors associated with attrition at different time change over time is useful to draw valid conclusions points of the study.
Cognitive Behaviour Therapy, 2020
The present study aimed to replicate the finding that younger age predicts higher pre quit-day attrition. Our second aim was to explain this relation by examining empirically and theoretically informed age-related risk factors for low smoking cessation treatment engagement. 136 participants (M age = 44.2 years, SD = 11.3 years; age = 22-64 years) were randomized to 15-weeks of either 1) an exercise intervention (n = 72) or 2) a wellness education control condition (n = 64). First, a logistic regression analysis was employed to test whether younger adults were more likely than older adults to drop prior to quit date. Next, we assessed whether smoking related health concerns, social expectancies, and/ or perceived severity of craving affected the strength of the relation between age and attrition, by adding these three variables to the logistic regression along with age. The logistic regression model indicated that younger age and treatment condition were significantly related to the odds of dropping from treatment prior to the scheduled quit date. Further, health concerns, social expectancies, and/or perceived severity of cravings did not account for the effect of age on pre quit-day attrition. These findings highlight the importance of identifying empirically and theoretically informed variables associated with the pre quit-day attrition problem of young smokers.
Psychology of Addictive Behaviors, 2000
Attrition from smoking cessation treatment by individuals with a history of major depression was investigated. An investigation of preinclusion attrition examined differences between eligible smokers who did (n = 258) and did not (n = 100) attend an initial assessment session. Postinclusion attrition was investigated by comparing early dropouts (n = 33), lale dropouts (n = 27), and treatment completers (n = 117). Those who failed to attend the assessment session were more likely to be female, to smoke cigarettes with higher nicotine content, and to have a history of psychotropic medication use. Early-treatment dropouts reported a higher smoking rate than late-treatment dropouts and endorsed more symptoms of depression than late dropouts and treatment completers. Results are compared with previous investigations of smoking cessation attrition, and implications for treatment and attrition prevention are discussed. Attrition from treatment poses a considerable problem for both researchers evaluating interventions (Howard, Cox, & Saunders, 1990) and clinicians delivering treatment (Stark, 1992). In studying attrition, investigators have found it useful to distinguish between preinclusion attrition-which occurs prior to entering a study, during screening or during intake evaluations-and postinclusion attrition, which occurs during treatment or posttreatment follow-ups (Howard et al., 1990). For example, evaluations of smoking cessation programs have noted preinclusion attrition rates of 30%-50% (
Trials, 2016
Background: Study attrition has the potential to compromise a trial's internal and external validity. The aim of the present study was to identify factors associated with participant attrition in a pilot trial of the effectiveness of a novel behavioural support intervention focused on increasing physical activity to reduce smoking, to inform the methods to reduce attrition in a definitive trial. Methods: Disadvantaged smokers who wanted to reduce but not quit were randomised (N = 99), of whom 61 (62 %) completed follow-up assessments at 16 weeks. Univariable logistic regression was conducted to determine the effects of intervention arm, method of recruitment, and participant characteristics (sociodemographic factors, and lifestyle, behavioural and attitudinal characteristics) on attrition, followed by multivariable logistic regression on those factors found to be related to attrition. Results: Participants with low confidence to quit, and who were undertaking less than 150 mins of moderate and vigorous physical activity per week at baseline were less likely to complete the 16-week follow-up assessment. Exploratory analysis revealed that those who were lost to follow-up early in the trial (i.e., by 4 weeks), compared with those completing the study, were younger, had smoked for fewer years and had lower confidence to quit in the next 6 months. Participants who recorded a higher expired air carbon monoxide reading at baseline were more likely to drop out late in the study, as were those recruited via follow-up telephone calls. Multivariable analyses showed that only completing less than 150 mins of physical activity retained any confidence in predicting attrition in the presence of other variables. Conclusions: The findings indicate that those who take more effort to be recruited, are younger, are heavier smokers, have less confidence to quit, and are less physically active are more likely to withdraw or be lost to follow-up.
Nicotine & Tobacco Research, 2004
The present study attempted to identify predictors of smoking cessation in a cohort of cigarette smokers followed over 13 years. Data are reported on 6,603 persons who resided in one of 20 U.S. communities involved in the National Cancer Institute's Community Intervention Trial for Smoking Cessation (COMMIT) study, were current smokers in the COMMIT trial in 1988, and completed detailed tobacco use telephone surveys in 1988, 1993, and 2001. A person was classified as a former smoker if at the time of follow-up he or she reported not smoking for at least 6 months prior to the interview. Reasons and methods for quitting also were assessed in 1993 and 2001. Among smokers in 1988, 24% had stopped smoking by 1993 and 42% were not smoking by 2001. The most frequently cited reasons for quitting were health and cost reasons, while assisted methods to quit were more common in more recent years. Measures of nicotine dependence were much more strongly associated with cessation than measures of motivation. Other predictors included male gender, older age, higher income, and less frequent alcohol consumption, although the gender effect no longer existed when cessation from cigarettes as well as other tobacco products was considered as the outcome. The present study shows that nicotine dependence is a major factor predicting long-term cessation in smokers. This finding has implications for tobacco control policy and treatment approaches.
Addiction, 2004
Smoking cessation treatment trials often require that smokers quit on or before a protocol-defined date. The goals of this paper were to: (1) identify factors associated with adherence to a protocol-defined quit date and (2) determine whether such adherence predicts cessation outcome (relapse). Design A quasi-experimental secondary analysis of data collected from a randomized placebo-controlled trial of fluoxetine (60 mg or 30 mg) versus placebo for smoking cessation. Setting and participants Clinic-based smoking cessation treatment program comprising 989 non-depressed smokers. Intervention Participants received cognitive behavioral therapy for smoking cessation and either study medication or placebo for 10 weeks. They were required to set a quit date within 2 weeks of their second study visit (by visit 4). Findings Significant predictors of quit date adherence were low nicotine dependence and active drug treatment. High-dose fluoxetine (60 mg) and male gender were protective against relapse. Adherence to quit date was not an independent predictor of relapse; instead there was a significant interaction between quit date adherence and gender. Among non-adherers to the quit date, women were more than 2.5 times as likely as men to relapse; among adherers to the quit date, women were only 1.3 times as likely as men to relapse. Conclusions Although women were more likely than men to relapse regardless of quit date adherence, adherence was strongly protective against relapse for women.
Journal of Consulting and Clinical Psychology, 1999
Gender differences in smoking quit rates are frequently reported and are the subject of much speculation. This study examined the generalizability of gender differences in abstinence across study sites, treatments, and time of relapse, as well as potential mediators and moderators of gender effects. Participants were smokers who participated in 3 randomized clinical trials of the nicotine patch ( N = 632). Men had higher cessation rates than women at all follow-ups. The impact of gender on abstinence was unaffected by controlling for study site, treatment, or time of relapse. There was little evidence for mediation or moderation of this relation by any of a host of predictor variables. The magnitude and consistency of the gender differential, coupled with an inability to account for it, highlights a compelling need for additional research specifically aimed at elucidating the relation between gender and abstinence.
Addictive Behaviors, 1997
Tobacco Control, 2004
Objective: To examine the feasibility, acceptability, and effectiveness of a school based smoking cessation programme among students caught smoking at school. Design: A randomised controlled trial comparing cessation rates among students in a behavioural cessation programme and those receiving self help materials only. Setting: Eighteen schools in the Memphis, Tennessee area. Subjects: Two hundred and sixty one adolescent cigarette smokers (166 male, 95 female) averaging 15.8 years of age. Intervention: Students assigned to the intervention received a four session behavioural treatment programme administered individually by a health educator. In addition, these students received stage matched intervention in brief phone calls monthly until the one year follow up. Main outcome measure: Self reported and biochemically verified smoking cessation at post-test and 12 month follow up. Results: Recruiting students who were caught smoking at school proved to be highly successful. Participants rated the programme favourably, and retention rates were high. Although treated participants improved more in tobacco related knowledge relative to controls (p = 0.002), there were no group differences in changes in attitudes toward smoking. In addition, treated and control participants demonstrated no significant differences in cessation rates both at post-test and follow up. Comparisons between self reported cessation rates and those obtained under bogus pipeline conditions or with biochemical verification suggested significant falsification of cessation among participants. Conclusions: Our results failed to demonstrate any significant effect of the cessation programme on smoking rates for treated adolescents compared with controls. Our findings also highlight the importance of utilising strong methodology in research on adolescent smoking cessation, including control groups and biochemical verification of smoking status. iv26 www.tobaccocontrol.com iv32 Robinson, Vander Weg, Riedel, et al www.tobaccocontrol.com
2013
Baseline socio-demographics, substance use and smoking history characteristics, as well as intratreatment indicators (i.e. nicotine patch adherence and tobacco use during patch treatment) of smoking cessation were examined among 65 community-based adult male smokers recruited from a metropolitan area within the United States. All participants were recruited between 2009 and 2010 and were enrolled in an 8-week smoking cessation programme involving nicotine patch treatment and adjunctive counselling. Stepwise multiple regression analyses were performed to examine unique predictors of smoking status at 1-, 6-and 12-month follow-up. Abstinence rates at 1-, 6-and 12-month follow-up periods were 34%, 18% and 17%, respectively. Results indicated that less smoking during patch treatment, and particularly during weeks 1 through 3, was the most robust predictor of successful abstinence, and this predicted smoking status at all follow-up periods. These results underscore the importance of total abstinence during the cessation process, especially at the outset of treatment, which is paramount to ultimate cessation success. Study limitations and clinical implications are discussed.
Chronic respiratory disease, 2016
The objective of this study was to investigate the prevalence of discontinuation in the smoking cessation outpatient clinic (SCC) and to examine the features of noncompliance. We retrospectively included 1324 smokers into the study. Patients were divided into two groups, as those who discontinued (dropped out) follow-up (group 1) and those who stayed in follow-up (group 2). Of the total 1324 smokers, 540 (40.8%) patients were in group 1. The mean age, smoking pack-years, and Fagerstrom scores of group 1 were lower than group 2 (p = 0.001, p = 0.008, and p = 0.007, respectively). In addition, the choice of treatment was also different between groups (p < 0.001). Motivational/behavioral therapy and nicotine replacement therapy (NRT) were more common in group 1 compared with group 2. There was no difference among groups in gender, having household smokers, history of antidepressant treatment, previous quit attempts, and educational status (p > 0.05). Almost 40% of our patients di...
2016
INTRODUCTION Smoking is a well-known major cause of early preventable mortality and morbidity. Maintenance of smoke-free status is important after a smoking cessation attempt. The present study aims to compare the sociodemographic and clinical characteristics of subjects participating in a smoking-cessation program, according to the duration of smoking cessation. METHODS A study was conducted in 261 smokers who had attended a smoking cessation clinic in a tertiary hospital, in Ankara, Turkey. The smoking status of the subjects at three years follow-up after participating in the smoking-cessation program was assessed. Sociodemographic, employment, environmental, smokingrelated, health and clinical characteristics of subjects were compared according to the smoking cessation duration. RESULTS Marital status, having a child, absence of household smoking and lower levels of nicotine dependence were significantly higher in quitters, and anxiety was lower. Parameters that significantly differed between subjects that were and were not abstinent for >36 months were marital status (p<0.001), childbearing status (p=0.007), household smoking (p<0.001), age of smoking initiation (p=0.02), psychiatric illness history (p=0.01), and number of follow-up visits (p<0.001). The number of follow-up visits at the smoking cessation clinic was an important factor of quitting and maintenance of quit status. CONCLUSIONS Family and home environment as well as smoking-related and mental health characteristics influenced maintenance of long-term smoking cessation. Characteristics such as sociodemographic, clinical and smoking-related conditions should be considered in smoking cessation interventions. Personalized treatment strategies and follow-up visits at the smoking cessation clinic should be planned for maintenance of smoking cessation.
Annals of Behavioral Medicine, 2008
Background Detailed information about the characteristics of smokers who do and do not participate in smoking cessation treatment is needed to improve efforts to reach, motivate, and treat smokers.
Journal of General Internal Medicine, 2006
OBJECTIVE: To examine the predictors of quitting among African American (AA) light smokers (o10 cigarettes per day) enrolled in a smoking cessation trial.
Nicotine & Tobacco Research, 2010
TheScientificWorldJournal, 2012
To gain knowledge on psychosocial characteristics that predict the propensity of participation in longitudinal studies, attrition was analysed in a cohort of 3020 adolescents participating in the baseline survey of a longitudinal study with repeated followup focusing on adolescents' tobacco use. During the followup surveys, the proportion of responders was constantly at or above 90%. There were 941 adolescents (31.2%) who failed to participate in at least one of the six followup surveys. Boys had a fifty percent increased risk of nonparticipation compared with girls. Adolescents in families with experience of divorce, unemployment, and change of residence had a higher risk of nonparticipation. An increasing number of stressful life events during the previous year, uptake of tobacco use, number of friends, perceived performance at school, truancy, and alcohol use during the last term also independently associated with nonparticipation. Diverse psychosocial characteristics are ind...
Preventive Medicine Reports, 2015
Introduction. Smoking prevalence rates among young people are high in many countries. Although attempts to quit smoking increasingly occur in young adulthood, many former smokers relapse. We compared individuals who successfully quit smoking from those who relapsed on socio-demographic, psychological and health factors. Methods. Data come from telephone interviews conducted in 2011 with participants of the TEMPO community-based study (ages 18-37 years, France). To study the likelihood of successful cessation vs. smoking relapse, we restricted the study sample to current or former smokers (n = 600) and conducted multinomial logistic regression analyses. Results. 43% of participants were current smokers who never quit for an extended period and, 33% former smokers and 24% current smokers who relapsed after extended cessation. In multivariate analyses female sex, parental status and illegal drug use were associated with both successful and unsuccessful smoking cessation. Factors specifically associated with a low probability of smoking cessation were job strain and symptoms of hyperactivity/inattention, while occupational grade was associated with smoking relapse. Conclusions. Work and family circumstances, co-occurring substance use and psychological difficulties may influence smoking cessation in young adults. These characteristics should be considered by individual and collective interventions aiming to help young smokers quit successfully.
Ethnicity & Disease
Objective: The exclusion criteria of tobacco cessation randomized clinical trials (RCTs) may have unintended consequences on inclusion and cessation disparities. We examined racial/ethnic differences in: a) exclusion from a group-based cessation RCT; and b) reasons for exclusion.Design: Quasi-experimental. Inclusion criteria were self-identification as African American/Black, non-Hispanic White, or Hispanic (any race), adults, minimum five cigarettes/day or carbon monoxide reading of ≥ 8 parts per million (ppm), interest in quitting, and spoke/read English. Data were obtained from a parent trial, which is ongoing and will be completed in 2019. Analyses for our present study on participant screening and enrollment were conducted in 2018.Main Outcome Measures: Study ineligibility, and reasons for exclusion (contraindications for nicotine patch use, serious mental illness [SMI, eg, bipolar disorder or schizophrenia], alcohol dependence or illicit drug use, current tobacco treatmen...
2011
To determine which factors predict smoking cessation treatment completion and retention among adolescents. Methods: In a multisite, randomized, controlled trial, the efficacy of motivational interviewing was compared with structured brief advice for smoking cessation and reduction in adolescents (n ϭ 355) aged 14 -18 years (55% female, 45% black, 12% Hispanic). Treatment spanned 12 weeks, with follow-up assessments at 24 weeks. Treatment completion was defined as completion of all five counseling sessions. Study retention was defined as completing the 24-week assessment. Participant and study variables served as predictors of treatment completion and retention. Results: In all, 79% of participants completed all five counseling sessions and the same percent completed the 24-week assessment. Black race, precontemplation stage to cut back, and shorter length of time between the baseline assessment and the first counseling session were significantly associated with treatment completion. For every 7.5-day delay in starting treatment after the baseline visit, there was a 50% decrease in the odds of completing all five treatment sessions. Retention at 24 weeks was predicted by black race, younger age, greater maternal education, expectations of graduating college, and structured brief advice intervention. Conclusions: High rates of treatment completion and study retention can be achieved in a multisession, behavioral intervention for adolescent smoking cessation. Findings suggest that treatment should begin soon after the intake session to maximize treatment completion. Enhanced efforts to retain older adolescents and youth with lower academic goals and lower family income will be important in future studies.
Journal of Substance Abuse Treatment, 2010
A. Batra, S.E. Collins, I. showed that smokers reporting higher levels of nicotine dependence, novelty seeking/hyperactivity, and depressivity (i.e., at-risk smokers) evinced higher rates of posttreatment smoking than smokers reporting lower scores on self-report psychological symptom measures (i.e., lower risk smokers). This study aimed to replicate the smoker subgroups and test the comparative effectiveness of standard pharmacobehavioral smoking cessation versus modified smoking cessation matched to at-risk smokers' needs. On the basis of their self-report responses, adult regular smokers (N = 268) were classified into smoker subgroups. At-risk smokers were randomly assigned to receive the standard or modified treatments; lower risk smokers received standard treatment. Modified treatment produced higher abstinence rates than the standard treatment for depressive smokers but not for other at-risk smokers. Overall, abstinence rates among at-risk smokers receiving modified treatment were not significantly different from those of lower risk smokers; however, abstinence among higher dependence smokers receiving modified treatment decreased at higher rates than among lower risk smokers.
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