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Tobacco dependence affects determinants related to quitting intention and behaviour.

ABSTRACT: This study uses protection motivation theory (PMT) to examine the quitting intentions and behaviours of smokers who have varying levels of nicotine dependence. Our goals are to identify the psychological factors that influence smoking cessation and to provide valuable evidence to promote theory-guided interventions. This is a cross-sectional study that was conducted from July to August 2020. Participants were randomly selected on the streets of 26 provinces on mainland China. Data were collected via face-to-face interviews. Our analysis was conducted in three steps. First, we employed descriptive statistics to present the overall characteristics of our sample. Second, we analysed the association between PMT constructs and quitting intentions stratified by nicotine dependence. Third, we tested how quitting intentions were associated with quitting behaviours in each subgroup using logistic regression models. For intention, almost all the PMT constructs were significantly associated with quitting intention in the low-dependence group. For the moderate- and high-dependence groups, only perceived vulnerability (coefficient = 0.35, P = 0.04) was positively associated with quitting intention. For behaviour, we found a stronger association between quitting intention and behaviour in the low-dependence group (Coef. = 1.67, P = 0.00) than for the other groups. We found a significant association between e-cigarette use and quitting behaviour only in the low-dependence group (Coef. = 1.34, P = 0.00). Coefficients for the moderate- and high-dependence groups were not statistically significant. Smokers at various levels of nicotine dependence have different psychological factors that influence their intentions to stop smoking. Quitting intention was more significantly associated with quitting behaviour for the low nicotine-dependence group than for the other groups. More convincing research is necessary to determine how e-cigarette use affects quitting behaviour in the long term.

SUBMITTER: Lin H

PROVIDER: S-EPMC8511040 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:IntroductionThis study examined relations of two affective vulnerabilities, high anxiety sensitivity (AS) and low distress tolerance (DT), with tobacco dependence, withdrawal, smoking cessation, and pharmacotherapy response.MethodsSmokers interested in quitting (N = 1067; 52.2% female, 28.1% African American) were randomized to 12 weeks of nicotine patch, nicotine patch plus nicotine lozenge, or varenicline. Baseline questionnaires assessed AS, DT, negative affect, anxiety, and dependence. Withdrawal was assessed the first-week post-quit via ecological momentary assessment.ResultsDT, but not AS, predicted biochemically confirmed point-prevalence abstinence at multiple endpoints: weeks 4, 12, 26, and 52 post-quit (ps < .05); relations remained after controlling for pharmacotherapy treatment, AS, baseline negative affect, anxiety, and anxiety disorder history (ps < .05). Additional exploratory analyses examining week 4 abstinence showed DT predicted abstinence (p = .004) even after controlling for baseline dependence, post-quit withdrawal (craving and negative affect), and treatment. DT moderated treatment effects on abstinence in exploratory analyses (interaction p = .025); those with high DT were especially likely to be abstinent at week 4 with patch plus lozenge versus patch alone.ConclusionsDT, but not AS, predicted abstinence over 1 year post-quit (higher DT was associated with higher quit rates), with little overlap with other affective measures. DT also predicted early abstinence independent of dependence and withdrawal symptoms. Results suggest low DT may play a meaningful role in motivation to use tobacco and constitute an additional affective risk factor for tobacco cessation failure beyond negative affect or clinical affective disorders.ImplicationsPeople in a stop-smoking study who reported a greater ability to tolerate distress were more likely to quit smoking and remain smoke-free 1 year later. Smokers with high DT were more likely to be smoke-free 4 weeks after their target quit day if they received nicotine patch plus nicotine lozenge rather than nicotine patch alone.Trial registrationNCT01553084.

Project description:BackgroundWe studied the intention of a group of insurance physicians to use the guidelines for depression, and their behaviour in disability assessments. We considered attitude, social norm and self-efficacy, knowledge/skills and stimuli, based on the Attitude-Social norm-self-Efficacy model (ASE model) as possible determinants of both intention and behaviour.The aim of this study was to understand the determinants of insurance physicians' behaviour when they are expected to use guidelines in daily practice.MethodA representative sample of 42 insurance physicians participated in this study. Cross-sectional data were collected by means of a questionnaire based on the ASE model. We developed the questionnaire on the basis of literature and ascertained the content validity of it. Behaviour was made to comprise both "use of the guidelines" and "change in disability assessment behaviour" by the insurance physicians. Reliability analyses were performed to form additive scales of the ASE constructs. These scales were analysed with structural equations modelling (LISREL), by modifying a start model into a final model with a good fit, within theoretical constraints. In these analyses special attention was paid to the fact that the sample size was small.ResultsThe most important determinants of the intention and the self-reported use of the guidelines, were: the influence of colleagues, the self-efficacy of the insurance physicians in their use of the guidelines, and the way the guidelines were implemented. The intention to use the guidelines for depression was not associated with the self-reported use of these guidelines, but there proved to be a faint, positive association with the self-reported change in assessment behaviour.ConclusionsAlmost all the insurance physicians in this study intended to use at least elements of the guidelines. Their intention, self reported use of the guidelines and self-reported change in assessment behaviour were explored with help of the ASE model. The model suggested relationships between intention, self reported use of the guidelines and self-reported change in assessment behaviour on the on the one hand and various determinants on the other hand. Be that as it may, we see opportunities to improve insurance physicians' guideline adherence by offering them a multifaceted training in which they learn to apply the guidelines for depression.

Project description:BackgroundCigarette smoking is widespread among HIV-infected patients, who confront increased risk of smoking-related co-morbidities. The effects of HIV infection and HIV-related variables on smoking and smoking cessation are incompletely understood. We investigated the correlates of smoking and quitting in an HIV-infected cohort using a validated natural language processor to determine smoking status.MethodWe developed and validated an algorithm using natural language processing (NLP) to ascertain smoking status from electronic health record data. The algorithm was applied to records for a cohort of 3487 HIV-infected from a large health care system in Boston, USA, and 9446 uninfected control patients matched 3:1 on age, gender, race and clinical encounters. NLP was used to identify and classify smoking-related portions of free-text notes. These classifications were combined into patient-year smoking status and used to classify patients as ever versus never smokers and current smokers versus non-smokers. Generalized linear models were used to assess associations of HIV with 3 outcomes, ever smoking, current smoking, and current smoking in analyses limited to ever smokers (persistent smoking), while adjusting for demographics, cardiovascular risk factors, and psychiatric illness. Analyses were repeated within the HIV cohort, with the addition of CD4 cell count and HIV viral load to assess associations of these HIV-related factors with the smoking outcomes.ResultsUsing the natural language processing algorithm to assign annual smoking status yielded sensitivity of 92.4, specificity of 86.2, and AUC of 0.89 (95% confidence interval [CI] 0.88-0.91). Ever and current smoking were more common in HIV-infected patients than controls (54% vs. 44% and 42% vs. 30%, respectively, both P<0.001). In multivariate models HIV was independently associated with ever smoking (adjusted rate ratio [ARR] 1.18, 95% CI 1.13-1.24, P <0.001), current smoking (ARR 1.33, 95% CI 1.25-1.40, P<0.001), and persistent smoking (ARR 1.11, 95% CI 1.07-1.15, P<0.001). Within the HIV cohort, having a detectable HIV RNA was significantly associated with all three smoking outcomes.ConclusionsHIV was independently associated with both smoking and not quitting smoking, using a novel algorithm to ascertain smoking status from electronic health record data and accounting for multiple confounding clinical factors. Further research is needed to identify HIV-related barriers to smoking cessation and develop aggressive interventions specific to HIV-infected patients.

Project description:The phenomenon of "quiet quitting" has gained significant attention globally through various platforms, raising concerns about the impact of workplace stress on individuals' personal lives and sparking social movements and investigations. As the number of Generation Z individuals is projected to surpass millennials by 2050, understanding and addressing the quiet quitting behaviour of this generation becomes crucial, considering their negative experiences during the COVID-19 pandemic and their preference for a work-life balance, which has led to a rejection of intense competition and a desire for a more relaxed lifestyle. Thus, this study investigated the factors (work conditions, job security, perceived career development opportunities, affective organizational commitment, and perceived organizational support on job burnout and employee well-being) determining the quiet quitting intention among Chinese Gen Z employees. It used an online survey to obtain cross-sectional data from 683 respondents, which were then tested using partial least squares structural equation modelling. The results showed that work conditions, job security, perceived career progression opportunities, affective organizational commitment, and perceived organizational support had a significant positive effect on employee well-being and that job burnout had a major negative effect. Furthermore, employee well-being had a significant negative impact on China's Gen Z employees' quit quiting decision and job burnout had a significant positive influence on China's Gen Z employees' quit quiting decision. The findings provide valuable insights for organizations and practitioners, enabling them to address these factors and effectively reduce quiet quitting intentions. Moreover, this study aligns with the Social Exchange Theory (SET), which explains how the interactions between employees and their organizations influence expectations and outcomes. By considering the SET framework, organizations can understand the motivations behind employees' behaviours and make informed decisions to foster a positive work environment and enhance employee well-being.

Project description:Background Tobacco use is a leading preventable cause of morbidity and mortality globally. Clinical practice guidelines for the treatment of tobacco use dependence are of varied scope and quality, making it challenging for users to select and apply recommendations. Objective The study objective is to identify and critically appraise the quality of existing clinical practice guidelines for tobacco cessation. Setting The study occurred between collaborative academic institutions located in Qatar and New Zealand. Methods A systematic literature search was performed for the period 2006-2018 through the following databases: PubMed, EMBASE, CINAHL, ISI Web of Science, Scopus, National Guideline Clearing House, Campbell Library, Health System Evidence, Joanna Briggs Institute Evidence-Based Practice Database, Academic Search Complete, ProQuest, PROSPERO, and Google Scholar. Relevant professional societies' and health agencies' websites were also searched. Two reviewers independently extracted and assessed guidelines' quality using Appraisal of Guidelines, Research and Evaluation II (AGREE II) instrument. Main outcome measure Standardized domain scores according to the AGREE II instrument. Results 7741 hits were identified. After removing duplicates and screening, 24 guidelines were included. Highest guideline quality was for National Institute for Health and Care Excellence (NICE) guideline with an overall ranking score of 87.56% and least quality was for Japanese Circulation Society Joint Working Group with an overall score of 29.34%. Domain 4 of AGREE II (clarity of presentation) had the highest average quality score (70.95%), while the lowest average quality scores were for Domain 2 (Rigour of Development) (50.21%) and Domain 5 (Applicability) (45.05%). Conclusion Seven guidelines were judged to be of high quality (overall score of ≥ 70%). Future guidelines for tobacco dependence treatment should use rigorous methods of development and provide applicable recommendations.

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Tobacco dependence affects determinants related to quitting intention and behaviour.

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