Evaluation of a web-based cognitive behavioral smoking cessation treatment for overweight/obese smokers

2017 ◽  
Vol 24 (13) ◽  
pp. 1796-1806 ◽  
Author(s):  
Marney A White ◽  
Valentina Ivezaj ◽  
Carlos M Grilo
Keyword(s):  
Smoking Cessation ◽  
Behavioral Treatment ◽  
Standard Treatment ◽  
Cognitive Behavioral ◽  
Cognitive Behavioral Treatment ◽  
Web Based ◽  
Smoking Cessation Treatment ◽  
Cessation Treatment ◽  
Community Volunteers

This pilot study tested the efficacy of an Internet-administered smoking cessation treatment for overweight/obese smokers. Participants were 54 community volunteers with overweight/obesity who were regular smokers. Treatment consisted of 12 weeks of nicotine replacement therapy and randomization to Internet-administered cognitive behavioral treatment or health education. In-person assessments of key outcomes occurred at baseline, post-treatment, and at 24-week follow-up. Cessation rates did not differ across the two treatments (25.9% vs 18.5%). Participants receiving cognitive behavioral treatment gained less weight when abstinent than those receiving the standard treatment. Larger studies are needed to replicate these findings.

scholarly journals Specific Relapse Predictors: Could Cognitive-Behavioral Treatment for Smoking Cessation Be Improved?

2020 ◽  
Vol 17 (12) ◽  
pp. 4317
Author(s):  
Carmela Martínez-Vispo ◽  
Ana López-Durán ◽  
Carmen Senra ◽  
Elisardo Becoña
Keyword(s):  
Smoking Cessation ◽  
Negative Affect ◽  
Self Efficacy ◽  
Behavioral Treatment ◽  
Post Treatment ◽  
Cognitive Behavioral ◽  
Cognitive Behavioral Treatment ◽  
Smoking Relapse ◽  
Smoking Cessation Treatment ◽  
Composite Measures

Relapse remains a frequent and complex phenomenon that is not yet well understood. An under-researched area of study that may provide relevant information concerns the assessment of specific post-treatment variables, rather than the composite measures commonly used to predict smoking relapse. The current study sought to examine the effects of post-treatment smoking-related variables, including withdrawal symptomatology, abstinence self-efficacy, and smoking urgency in negative-affect situations and smoking relapse at the 3 month follow-up. The sample comprised 130 participants who achieved abstinence for at least 24 h through a cognitive-behavioral smoking cessation treatment. Regression analysis was conducted for both composite measures and specific subscales and items. Data showed that composite measures of tobacco withdrawal, self-efficacy, and smoking urgency in negative-affect situations were not significant predictors of smoking relapse. However, the analysis including subscales, and specific items showed that lower self-efficacy in negative-affect-related situations (OR = 1.36) and three withdrawal symptoms—irritability/frustration/anger (OR = 2.99), restlessness/impatience (OR = 1.87), and craving (OR = 2.31)—were significant predictors of relapse. These findings offer new insights into the role of different smoking-related post-treatment variables in short-term relapse. Considering and specifically targeting these variables after achieving abstinence may potentially contribute to reducing smoking relapse.

scholarly journals Electronic cigarettes in standard smoking cessation treatment by tobacco counselors in Flanders: E-cigarette users show similar if not higher quit rates as those using commonly recommended smoking cessation aids

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Karolien Adriaens ◽  
Eline Belmans ◽  
Dinska Van Gucht ◽  
Frank Baeyens
Keyword(s):  
Smoking Cessation ◽  
Cohort Study ◽  
Replacement Therapy ◽  
Electronic Cigarettes ◽  
Evidence Based ◽  
Smoking Abstinence ◽  
Smoking Cessation Treatment ◽  
Cessation Treatment ◽  
Point Prevalence Abstinence

Abstract Background This interventional-cohort study tried to answer if people who smoke and choose an e-cigarette in the context of smoking cessation treatment by tobacco counselors in Flanders are achieving smoking abstinence and how they compare to clients who opt for commonly recommended (or no) aids (nicotine replacement therapy, smoking cessation medication). Methods Participants were recruited by tobacco counselors. They followed smoking cessation treatment (in group) for 2 months. At several times during treatment and 7 months after quit date, participants were asked to fill out questionnaires and to perform eCO measurements. Results One third of all participants (n = 244) achieved smoking abstinence 7 months after the quit date, with e-cigarette users having higher chances to be smoking abstinent at the final session compared to NRT users. Point prevalence abstinence rates across all follow-up measurements, however, as well as continuous and prolonged smoking abstinence, were similar in e-cigarette users and in clients having chosen a commonly recommended (or no) smoking cessation aid. No differences were obtained between smoking cessation aids with respect to product use and experiences. Conclusions People who smoke and choose e-cigarettes in the context of smoking cessation treatment by tobacco counselors show similar if not higher smoking cessation rates compared to those choosing other evidence-based (or no) smoking cessation aids.

Preliminary Investigation of Associations of Illness Schemata and Treatment-Induced Reduction in Headaches

1998 ◽  
Vol 82 (1) ◽  
pp. 299-307 ◽  
Author(s):  
Karen J. Narduzzi ◽  
Robert P. Nolan ◽  
Kenneth Reesor ◽  
Todd Jackson ◽  
Nicholas P. Spaños ◽  
...  
Keyword(s):  
Behavioral Treatment ◽  
Preliminary Investigation ◽  
Tension Headache ◽  
Cognitive Behavioral ◽  
Cognitive Behavioral Treatment ◽  
Reciprocal Relations ◽  
Control Subjects ◽  
Treatment Responder ◽  
And Control

This study examined how illness schemata—ways people organize information about illness—change over the course of cognitive-behavioral treatment of chronic headache and the extent to which such changes predict reduction of headache. 73 subjects with chronic migraine, mixed migraine and tension, or tension headache were classified on the basis of outcome from imagery-based treatment as Treatment-responders ( n = 24), Treatment-nonresponders ( n = 27), and Monitoring Controls ( n = 22). Self-reported illness schemata related to the seriousness and changeability of headache were assessed at pretreatment and 8-wk. follow-up. While groups did not differ on pretreatment measures of illness schemata, at follow-up the Treatment-responder group reported higher Changeability scores than Treatment-nonresponders and Control subjects and lower Seriousness scores than Control subjects. Headache reduction at follow-up was related to follow-up Changeability scores, in-session changes in systolic blood pressure and reported posttreatment expectations of headache activity, but not pretreatment measures of illness schemata. Findings indicate that improvements in headache activity are not influenced by the severity of headaches and may change prior to cognitive-behavioral treatment. Rather, among individuals who show decreases in headache activity, changes in beliefs about illness and headache reduction may have reciprocal relations both of which result from cognitive-behavioral treatment.

Perfectionism in People who Stutter: Preliminary Findings Using a Modified Cognitive-Behavioral Treatment Approach

2007 ◽  
Vol 36 (1) ◽  
pp. 35-40 ◽  
Author(s):  
Barbara J. Amster ◽  
Evelyn R. Klein
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Behavioral Treatment ◽  
Treatment Approach ◽  
Behavioral Therapy ◽  
Cognitive Behavioral ◽  
Cognitive Behavioral Treatment ◽  
Trial Testing ◽  
Preliminary Research ◽  
Pre Treatment

AbstractPerfectionistic people set unrealistic goals and, when they fail to reach them, experience self-criticism and blame. Preliminary research revealed that perfectionism appears to be a characteristic of people who stutter (PWS) (Amster, 1995). The purpose of the present study was to explore perfectionism in PWS and to determine if a modified cognitive behavioral therapy approach alone and combined with Stuttering Modification could help reduce perfectionistic tendencies and stuttering behaviors. Degree of perfectionism and scores of stuttering severity were measured with eight adult PWS and compared at pre-treatment, mid-treatment, after 6-weeks of treatment, and at 15 weeks follow-up, after treatment was withdrawn. Initial open-trial testing showed promising results as perfectionism and stuttering severity were reduced and communication attitudes improved. CBT significantly reduced perfectionism by mid-point. Stuttering decreased significantly throughout all phases of the study. Possible implications are discussed.

scholarly journals Blended Smoking Cessation Treatment: Exploring Measurement, Levels, and Predictors of Adherence (Preprint)

2018 ◽  
Author(s):  
Lutz Siemer ◽  
Marjolein GJ Brusse-Keizer ◽  
Marloes G Postel ◽  
Somaya Ben Allouch ◽  
Angelos Patrinopoulos Bougioukas ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Marital Status ◽  
Adherence Rate ◽  
Social Modeling ◽  
Web Based ◽  
Smoking Cessation Treatment ◽  
Face To Face ◽  
Cessation Treatment ◽  
Number Of Patients ◽  
Predictors Of Adherence

BACKGROUND Blended face-to-face and Web-based treatment is a promising way to deliver cognitive behavioral therapy. Since adherence has been shown to be a measure for treatment’s acceptability and a determinant for treatment’s effectiveness, in this study, we explored adherence to a new blended smoking cessation treatment (BSCT). OBJECTIVE The objective of our study was to (1) develop an adequate method to measure adherence to BSCT; (2) define an adequate degree of adherence to be used as a threshold for being adherent; (3) estimate adherence to BSCT; and (4) explore the possible predictors of adherence to BSCT. METHODS The data of patients (N=75) were analyzed to trace adherence to BSCT delivered at an outpatient smoking cessation clinic. In total, 18 patient activities (eg, using a Web-based smoking diary tool or responding to counselors’ messages) were selected to measure adherence; the degree of adherence per patient was compared with quitting success. The minimum degree of adherence of patients who reported abstinence was examined to define a threshold for the detection of adherent patients. The number of adherent patients was calculated for each of the 18 selected activities; the degree of adherence over the course of the treatment was displayed; and the number of patients who were adherent was analyzed. The relationship between adherence and 33 person-, smoking-, and health-related characteristics was examined. RESULTS The method for measuring adherence was found to be adequate as adherence to BSCT correlated with self-reported abstinence (P=.03). Patients reporting abstinence adhered to at least 61% of BSCT. Adherence declined over the course of the treatment; the percentage of adherent patients per treatment activity ranged from 82% at the start of the treatment to 11%-19% at the final-third of BSCT; applying a 61% threshold, 18% of the patients were classified as adherent. Marital status and social modeling were the best independent predictors of adherence. Patients having a partner had 11-times higher odds of being adherent (OR [odds ratio]=11.3; CI: 1.33-98.99; P=.03). For social modeling, graded from 0 (=partner and friends are not smoking) to 8 (=both partner and nearly all friends are smoking), each unit increase was associated with 28% lower odds of being adherent (OR=0.72; CI: 0.55-0.94; P=.02). CONCLUSIONS The current study is the first to explore adherence to a blended face-to-face and Web-based treatment (BSCT) based on a substantial group of patients. It revealed a rather low adherence rate to BSCT. The method for measuring adherence to BSCT could be considered adequate because the expected dose-response relationship between adherence and quitting could be verified. Furthermore, this study revealed that marital status and social modeling were independent predictors of adherence. CLINICALTRIAL Netherlands Trial Registry NTR5113; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5113 (Archived by WebCite at http://www.webcitation.org/71BAPwER8).

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