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Pérez-Muñoz A, Horn TL, Graber J, Chowdhury SMR, Bursac Z, Krukowski RA. Recruitment strategies for a post cessation weight management trial: A comparison of strategy cost-effectiveness and sample diversity. Contemp Clin Trials Commun 2022; 30:101037. [DOI: 10.1016/j.conctc.2022.101037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/28/2022] [Accepted: 11/07/2022] [Indexed: 11/09/2022] Open
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Frallonardo FP, Lima DR, Carvalho CFC, Loreto AR, Guimarães-Pereira BBS, Ismael F, Torales J, Ventriglio A, de Andrade AG, da Silva Bizário JC, Castaldelli-Maia JM. Effect of BMI on Prolonged Abstinence after Smoking Cessation Treatment: A Retrospective Cohort Study. Curr Drug Res Rev 2021; 13:236-245. [PMID: 34011261 DOI: 10.2174/2589977513666210518160924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 02/03/2021] [Accepted: 02/27/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Despite the well-documented relationship between weight gain and poorer cessation outcomes among smokers, the role of the former (baseline) weight in smoking cessation is insufficiently investigated. We hypothesized that patients with higher baseline body mass index(BMI) have a worse prognosis in tobacco cessation. OBJECTIVES This retrospective clinical cohort study aimed to investigate the role of the baseline BMI on abstinence over 12 months after participation in smoking cessation treatment conducted in a middle-income country (n = 664). METHODS Data from a 6-week smoking cessation protocol performed in a Psychosocial Care Unit(CAPS) were used. The protocol included four medical consultations and six Cognitive-Behavioral Therapy(CBT) group sessions. Initially, 1,213 participants were evaluated for the study, but only the participants whose telephone contact was successful were included in the outcome analyses. The attrition rate was 45.3%. Continuous and categorical (normal, overweight, and obesity) BMI values were computed. Survival regression models were used to test the associations between BMI and the 12-month abstinence outcome. Self-report 4-week abstinence at the end of treatment was also investigated using logistic regression models. RESULTS Baseline BMI had no significant effect on both short (4-week-point abstinence) and long (12-month prolonged abstinence) treatment outcomes. CONCLUSION The possible influence of the baseline BMI on smoking cessation outcomes, especially considering prolonged abstinence, was not corroborated by our results. Regardless of our results, the detrimental health outcomes due to the combination of obesity/overweight and smoking justify that these subgroups of individuals be continuously targeted for adequate smoking prevention and treatment.
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Affiliation(s)
| | - Danielle Ruiz Lima
- Department of Psychiatry, Medical School, University of São Paulo, Butanta, SP, Brazil
| | | | | | | | - Flavia Ismael
- Municipal University of São Caetano do Sul (USCS), São Caetano do Sul, SP, Brazil
| | - Julio Torales
- Department of Psychiatry, School of Medical Sciences, National University of Asunción, Asunción. Paraguay
| | - Antonio Ventriglio
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia. Italy
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Javitz HS, Bush TM, Lovejoy JC, Torres AJ, Wetzel T, Wassum KP, Tan MM, Alshurafa N, Spring B. Six Month Abstinence Heterogeneity in the Best Quit Study. Ann Behav Med 2019; 53:1032-1044. [PMID: 31009528 DOI: 10.1093/abm/kaz014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Understanding the characteristics of smokers who are successful in quitting may help to increase smoking cessation rates. PURPOSE To examine heterogeneity in cessation outcome at 6 months following smoking cessation behavioral counseling with or without weight management counseling. METHODS 2,540 smokers were recruited from a large quitline provider and then randomized to receive proactive smoking cessation behavioral counseling without or with two versions of weight management counseling. A Classification and Regression Tree (CART) analysis was conducted to identify the individual pretreatment and treatment characteristics of groups of smokers with different quitting success (as measured by point prevalence of self-reported smoking of any amount at 6 months). RESULTS CART analysis identified 10 subgroups ranging from 25.5% to 70.2% abstinent. The splits in the CART tree involved: the total number of counseling and control calls received, whether a smoking cessation pharmacotherapy was used, and baseline measures of cigarettes per day, confidence in quitting, expectation that the study would help the participant quit smoking, the motivation to quit, exercise minutes per week, anxiety, and lack of interest or pleasure in doing things. Costs per quitter ranged from a low of $US270 to a high of $US630. Specific treatment recommendations are made for each group. CONCLUSIONS These results indicate the presence of a substantial variation in abstinence following treatment, and that the total extent of contact via counseling calls of any type and baseline characteristics, rather than assigned treatment, were most important to subgroup membership and abstinence. Tailored treatments to subgroups who are at high risk for smoking following a quit attempt could increase successful smoking cessation.
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Affiliation(s)
| | - Terry M Bush
- Optum Center for Wellbeing Research, Optum, Seattle, WA USA
| | - Jennifer C Lovejoy
- Optum Center for Wellbeing Research, Arivale, Inc and Institute for Systems Biology, Seattle, WA, USA
| | - Alula J Torres
- Optum Center for Wellbeing Research, Optum, Seattle, WA USA
| | - Tallie Wetzel
- Education Division, SRI International, Menlo Park, CA, USA
| | - Ken P Wassum
- Optum Center for Wellbeing Research, Optum, Seattle, WA USA
| | - Marcia M Tan
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Nabil Alshurafa
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Bonnie Spring
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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Leonidou C, Charalambous E, Michaelides MP, Panayiotou G. Smoking Consequences Questionnaire: Factor Structure and Invariance among Smokers and Non-Smokers. Subst Use Misuse 2019; 54:46-56. [PMID: 30362873 DOI: 10.1080/10826084.2018.1491053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
BACKGROUND The Smoking Consequences Questionnaire was developed to assess smoking expectancies, which have been found to be linked to the initiation and maintenance of smoking. OBJECTIVES The purpose of the current study was to examine the factor structure of a modified brief version of the instrument in Greek and to test its invariance between groups of smokers and nonsmokers. METHODS Participants were 813 Greek-Cypriot university students (524 females; Mean age =20.94, SD = 2.70) who completed this brief version of the instrument translated into Greek using the forward-backward method. RESULTS Confirmatory factor analysis supported a four-factor structure: Negative Consequences, Positive Reinforcement, Negative Reinforcement and Appetite/Weight Control. Multigroup confirmatory factor analysis indicated configural, metric and partial scalar invariance of the instrument in groups of smokers and nonsmokers. Comparison of the mean difference in the invariant factors showed significant difference in appetite/weight control mean scores, whereas mean difference in negative consequences was not significant. Conclusions/Importance. Findings support the four-factor structure of the brief Greek version of the SCQ in a sample of young adults, and factorial invariance between smokers and nonsmokers. More expectancies about appetite/weight control among smokers compared to nonsmokers suggest focusing on this category of smoking expectancies in smoking prevention and cessation programs.
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Affiliation(s)
| | | | | | - Georgia Panayiotou
- a Department of Psychology, University of Cyprus , Nicosia , Cyprus.,b Center of Applied Neuroscience, University of Cyprus , Nicosia , Cyprus
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Rozman T, Mivšek PA, Došler AJ, Kusterle M. A survey of women who continue to smoke during pregnancy in Slovenia. Eur J Midwifery 2018; 2:12. [PMID: 33537573 PMCID: PMC7848596 DOI: 10.18332/ejm/95283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Revised: 08/31/2018] [Accepted: 09/20/2018] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Smoking in pregnancy is unhealthy and can also have negative effects on the foetus. However, there are still some women who do not quit smoking during pregnancy. The aim of the study was to identify Slovenian women at risk who smoke during pregnancy. METHODS A quantative approach using an online survey was adopted. The study was conducted in May and June 2017, in Slovenia. A snowball sample was used. Participation in the survey was anonymous and voluntary, and 118 women who identified themselves as smokers participated in the study. Descriptive statistics was used to analyse the data. RESULTS More than half (66%) did not quit smoking during pregnancy. Women who continued to smoke during pregnancy were usually younger, less educated with a partner who smoked. Women who smoked more cigarettes per day before conception were less likely to refrain from smoking during pregnancy. The most common reason for not quitting smoking during pregnancy was failure in attempts to quit (37%). CONCLUSIONS Women who smoke need support to stop smoking before pregnancy or, at least, in the first trimester. Special groups for smoking cessation need to be created. Further and more extensive research is warranted in Slovenia to assess this issue.
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Affiliation(s)
- Tjaša Rozman
- Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
| | - Polona A Mivšek
- Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
| | | | - Mateja Kusterle
- Faculty of Health Sciences, University of Ljubljana, Ljubljana, Slovenia
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Bush T, Lovejoy J, Javitz H, Torres AJ, Wassum K, Tan MM, Spring B. Simultaneous vs. sequential treatment for smoking and weight management in tobacco quitlines: 6 and 12 month outcomes from a randomized trial. BMC Public Health 2018; 18:678. [PMID: 29855294 PMCID: PMC5984316 DOI: 10.1186/s12889-018-5574-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 05/17/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Smoking cessation often results in weight gain which discourages many smokers from quitting and can increase health risks. Treatments to reduce cessation-related weight gain have been tested in highly controlled trials of in-person treatment, but have never been tested in a real-world setting, which has inhibited dissemination. METHODS The Best Quit Study (BQS) is a replication and "real world" translation using telephone delivery of a prior in-person efficacy trial. DESIGN randomized control trial in a quitline setting. Eligible smokers (n = 2540) were randomized to the standard 5-call quitline intervention or quitline plus simultaneous or sequential weight management. Regression analyses tested effectiveness of treatments on self-reported smoking abstinence and weight change at 6 and 12 months. RESULTS Study enrollees were from 10 commercial employer groups and three state quitlines. Participants were between ages 18-72, 65.8% female, 68.2% white; 23.0% Medicaid-insured, and 76.3% overweight/obese. The follow-up response rate was lower in the simultaneous group than the control group at 6 months (p = 0.01). While a completers analysis of 30-day point prevalence abstinence detected no differences among groups at 6 or 12 months, multiply imputed abstinence showed quit rate differences at 6 months for:simultaneous (40.3%) vs. sequential (48.3%), p = 0.034 and simultaneous vs. control (44.9%), p = 0.043. At 12 months, multiply imputed abstinence, was significantly lower for the simultaneous group (40.7%) vs. control (46.0%), p < 0.05 and vs. sequential (46.3%), p < 0.05. Weight gain at 6 and 12 months was minimal and not different among treatment groups. The sequential group completed fewer total calls (3.75) vs. control (4.16) and vs. simultaneous group (3.83), p = 0.01, and fewer weight calls (0.94) than simultaneous (2.33), p < 0.0001. The number of calls completed predicted 30-day abstinence, p < 0.001, but not weight outcomes. DISCUSSION This study offers a model for evaluating population-level public health interventions conducted in partnership with tobacco quitlines. CONCLUSIONS Simultaneous (vs. sequential) delivery of phone/web weight management with cessation treatment in the quitline setting may adversely affect quit rate. Neither a simultaneous nor sequential approach to addressing weight produced any benefit on suppressing weight gain. This study highlights the need and the challenges of testing intensive interventions in real-world settings. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01867983 . Registered: May 30, 2013.
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Affiliation(s)
- Terry Bush
- Alere Wellbeing (a solely owned subsidiary of Optum), 999 Third Avenue Suite 2000, Seattle, WA 98104-1139 USA
| | | | | | - Alula Jimenez Torres
- Alere Wellbeing (a solely owned subsidiary of Optum), 999 Third Avenue Suite 2000, Seattle, WA 98104-1139 USA
| | - Ken Wassum
- Alere Wellbeing (a solely owned subsidiary of Optum), 999 Third Avenue Suite 2000, Seattle, WA 98104-1139 USA
| | - Marcia M. Tan
- Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - Bonnie Spring
- Center for Behavior and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
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