Quiet quitting: Obedience a minima as a form of nursing resistance.

In this article, we provide a philosophical and ethical reflection about quiet quitting as a tool of political resistance for nurses. Quiet quitting is a trend that gained traction on TikTok in July 2022 and emerged as a method of resistance among employees facing increasing demands from their workplaces at the detriment of their personal lives. It is characterised by employees refraining from exceeding the basic requirements outlined in their job descriptions. To understand why quiet quitting can be a tool of resistance useful for nurses, we first draw on Frédéric Gros' concept of 'surplus obedience' and Michael Lipsky's notion of 'routines and simplification strategies' to highlight the ethical implications associated with nurses engaging in and sustaining harmful systems, such as the neoliberal healthcare system. Leaning again on Gros, we then propose that 'obedience a minima', a concept akin to quiet quitting, can serve as a method of ethical nursing resistance. After describing what the concept entails, we provide a discussion emphasising the potential of obedience a minima as a one method, among many, that can be leveraged by nurses to challenge and resist a system that prioritises financial considerations over patient wellbeing. The article concludes by reflecting on the ethical nature of resistance in the context of nursing, that is the act of obeying oneself and refraining from participating in systems that are detrimental to the lives of Others.

Quiet Quitting reason and behavior scale design and development process.

BACKGROUND: The concept of "Quiet Quitting", which might be considered new in the literature, is used to describe a passive and silent giving up. OBJECTIVE: The aim of this study is to develop a scale to evaluate both the causes and consequences of "quiet quitting" which is believed to be increasing for various reasons in our country as well as in the world. METHOD: Five-stage scale development method which was presented by Cohen and Swerdik was used in the process of developing the Quiet Quitting Reason and Behavior Scale (QQRBS). First, the conceptual structure of the scale was determined. In the second stage, the scale was structured. Structuring the scale is deciding on the scale type and scaling technique. The third stage is the first application of the scale. After the scale was applied, factor analysis, internal consistency assessment and validity studies were carried out in the item analysis section, which is the fourth stage. The fifth stage is the second application stage of the scale and at this stage, the scale was reviewed by test-retest and an application guideline was prepared. RESULTS: Cronbach's alpha value of draft items is 0.87, quiet quitting behavior sub-dimension Cronbach's Alpha value is 0.76 and reasons for quiet quitting Cronbach's Alpha value is 0.820. It was decided to keep the remaining 35 items after EFA analysis because the corrected correlation numbers of the items were >0.30. This study explains the design and development process of the QQRBS in Turkish society. CONCLUSION: According to this developed scale, as the scale mean score of the total and sub-dimensions increases, the tendency to quiet quitting increases.

Emotional intelligence protects nurses against quiet quitting, turnover intention, and job burnout.

Background: Emotional intelligence can improve nurses' interpersonal and coping skills, job performance, and resilience. However, there is a dearth in the literature on whether emotional intelligence affects levels of quiet quitting, turnover intention, and job burnout in nurses. Objective: We examined the relationship between emotional intelligence, quiet quitting, turnover intention, and job burnout. Methods: We conducted a cross-sectional study in Greece with a convenience sample of 992 nurses. We used the following valid tools to measure our study variables: the Trait Emotional Intelligence Questionnaire-Short Form, the Quiet Quitting Scale, and the single item burnout measure. Results: The mean age of our nurses was 42.2 years. After controlling for gender, age, work experience, shift work, and understaffed department, the multivariable linear regression models indicated significant negative relationships between emotional intelligence and quiet quitting, turnover intention, and job burnout. Specifically, self-control reduced detachment, lack of motivation, job burnout, and turnover intention. Moreover, emotionality reduced detachment, lack of motivation, and lack of initiative. Sociability reduced lack of initiative and lack of motivation, while well-being reduced lack of motivation, job burnout, and turnover intention. Conclusion: Emotional intelligence reduced quiet quitting, turnover intention, and job burnout in nurses. Therefore, nurse managers and policy-makers should apply interventions to optimize the emotional intelligence profiles of nurses.

Using the social cognitive theory to examine spontaneous attempts to quit illicit substance use.

Rural areas in the US exhibit high rates of illicit substance use. This study aimed to investigate the Social Cognitive Theory factors associated with spontaneous attempts to quit illicit substance use in a sample of users. A cross-sectional survey was administered through face-to-face interviews. Data was collected from adult (≥ 18 years of age) current illicit substance users who were not receiving professional addiction treatment. Binary logistic regression analyses were utilized to answer the research question. Data from 230 illicit substance users met the eligibility criteria. The mean age was 38 years, whereas the average history of illicit substance use was 14 years. Users with a higher perceived value of quitting illicit substance use were significantly more likely to attempt to quit use spontaneously. Health behavior interventions that incorporate the perceived value of quitting illicit substance use can be effective in encouraging spontaneous attempts to quit illicit substance use.

Conversational Chatbot for Cigarette Smoking Cessation: Results From the 11-Step User-Centered Design Development Process and Randomized Controlled Trial.

BACKGROUND: Conversational chatbots are an emerging digital intervention for smoking cessation. No studies have reported on the entire development process of a cessation chatbot. OBJECTIVE: We aim to report results of the user-centered design development process and randomized controlled trial for a novel and comprehensive quit smoking conversational chatbot called QuitBot. METHODS: The 4 years of formative research for developing QuitBot followed an 11-step process: (1) specifying a conceptual model; (2) conducting content analysis of existing interventions (63 hours of intervention transcripts); (3) assessing user needs; (4) developing the chat's persona ("personality"); (5) prototyping content and persona; (6) developing full functionality; (7) programming the QuitBot; (8) conducting a diary study; (9) conducting a pilot randomized controlled trial (RCT); (10) reviewing results of the RCT; and (11) adding a free-form question and answer (QnA) function, based on user feedback from pilot RCT results. The process of adding a QnA function itself involved a three-step process: (1) generating QnA pairs, (2) fine-tuning large language models (LLMs) on QnA pairs, and (3) evaluating the LLM outputs. RESULTS: We developed a quit smoking program spanning 42 days of 2- to 3-minute conversations covering topics ranging from motivations to quit, setting a quit date, choosing Food and Drug Administration-approved cessation medications, coping with triggers, and recovering from lapses and relapses. In a pilot RCT with 96% three-month outcome data retention, QuitBot demonstrated high user engagement and promising cessation rates compared to the National Cancer Institute's SmokefreeTXT text messaging program, particularly among those who viewed all 42 days of program content: 30-day, complete-case, point prevalence abstinence rates at 3-month follow-up were 63% (39/62) for QuitBot versus 38.5% (45/117) for SmokefreeTXT (odds ratio 2.58, 95% CI 1.34-4.99; P=.005). However, Facebook Messenger intermittently blocked participants' access to QuitBot, so we transitioned from Facebook Messenger to a stand-alone smartphone app as the communication channel. Participants' frustration with QuitBot's inability to answer their open-ended questions led to us develop a core conversational feature, enabling users to ask open-ended questions about quitting cigarette smoking and for the QuitBot to respond with accurate and professional answers. To support this functionality, we developed a library of 11,000 QnA pairs on topics associated with quitting cigarette smoking. Model testing results showed that Microsoft's Azure-based QnA maker effectively handled questions that matched our library of 11,000 QnA pairs. A fine-tuned, contextualized GPT-3.5 (OpenAI) responds to questions that are not within our library of QnA pairs. CONCLUSIONS: The development process yielded the first LLM-based quit smoking program delivered as a conversational chatbot. Iterative testing led to significant enhancements, including improvements to the delivery channel. A pivotal addition was the inclusion of a core LLM-supported conversational feature allowing users to ask open-ended questions. TRIAL REGISTRATION: ClinicalTrials.gov NCT03585231; https://clinicaltrials.gov/study/NCT03585231.

Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning.

BACKGROUND: Leveraging free smartphone apps can help expand the availability and use of evidence-based smoking cessation interventions. However, there is a need for additional research investigating how the use of different features within such apps impacts their effectiveness. OBJECTIVE: We used observational data collected from an experiment of a publicly available smoking cessation app to develop supervised machine learning (SML) algorithms intended to distinguish the app features that promote successful smoking cessation. We then assessed the extent to which patterns of app feature use accounted for variance in cessation that could not be explained by other known predictors of cessation (eg, tobacco use behaviors). METHODS: Data came from an experiment (ClinicalTrials.gov NCT04623736) testing the impacts of incentivizing ecological momentary assessments within the National Cancer Institute's quitSTART app. Participants' (N=133) app activity, including every action they took within the app and its corresponding time stamp, was recorded. Demographic and baseline tobacco use characteristics were measured at the start of the experiment, and short-term smoking cessation (7-day point prevalence abstinence) was measured at 4 weeks after baseline. Logistic regression SML modeling was used to estimate participants' probability of cessation from 28 variables reflecting participants' use of different app features, assigned experimental conditions, and phone type (iPhone [Apple Inc] or Android [Google]). The SML model was first fit in a training set (n=100) and then its accuracy was assessed in a held-aside test set (n=33). Within the test set, a likelihood ratio test (n=30) assessed whether adding individuals' SML-predicted probabilities of cessation to a logistic regression model that included demographic and tobacco use (eg, polyuse) variables explained additional variance in 4-week cessation. RESULTS: The SML model's sensitivity (0.67) and specificity (0.67) in the held-aside test set indicated that individuals' patterns of using different app features predicted cessation with reasonable accuracy. The likelihood ratio test showed that the logistic regression, which included the SML model-predicted probabilities, was statistically equivalent to the model that only included the demographic and tobacco use variables (P=.16). CONCLUSIONS: Harnessing user data through SML could help determine the features of smoking cessation apps that are most useful. This methodological approach could be applied in future research focusing on smoking cessation app features to inform the development and improvement of smoking cessation apps. TRIAL REGISTRATION: ClinicalTrials.gov NCT04623736; https://clinicaltrials.gov/study/NCT04623736.

Quitting intentions and behaviours among young Australian e-cigarette users.

BACKGROUND AND AIMS: With the prevalence of e-cigarette use among Australian youth increasing significantly in recent years, greater attention is being paid to encouraging and supporting cessation. However, research to inform such efforts is lacking. The present study sought to (i) measure desire to quit e-cigarette use and actual quitting attempts among young Australians and (ii) explore correlates of quitting-related cognitions and behaviours. DESIGN, SETTING AND PARTICIPANTS: This was a cross-sectional on-line survey conducted in Australia. The participants were 14-25-year-old e-cigarette users (n = 602; 53% women). MEASUREMENTS: Desire to quit vaping and attempts to quit vaping were the primary dependent variables. The independent variables included several individual (e.g. harm perceptions, perceived appeal of vapes), social (descriptive norms) and environmental (e.g. ease of e-cigarette access) factors. FINDINGS: A majority of respondents (61%) expressed a desire to quit vaping, and just over half (55%) had made a quit attempt. Finding vapes easy to access was associated with both a lack of desire [odds ratio (OR) = 0.71] and attempts to quit (OR = 0.77), while self-reported addiction to vaping (OR = 1.42 and OR = 3.11) and perceiving vaping to be associated with mental health risks (OR = 1.30 and OR = 1.40) were positively correlated with these variables. Perceiving that vaping is common among people of one's age (OR = 0.82) and finding vapes appealing (OR = 0.55) were associated with a lack of desire to quit, while perceiving vaping to have physical health risks was positively associated with quitting desire (OR = 1.58). School-based education on vaping was associated with reporting an attempt/s to quit (OR = 0.47). CONCLUSIONS: This survey of young Australian e-cigarette users suggests a high level of desire to quit using e-cigarettes and attempts to quit. Increasing knowledge regarding the physical and mental health risks associated with e-cigarette use may assist with promoting quitting-related intentions. Changing social norms, reducing the accessibility of e-cigarettes and reducing the appeal of the products also constitute potential means of increasing the desire to quit.

Quitting smoking as a probable trigger for new-onset hypothyroidism after successful medical treatment of Graves' disease: case report.

Graves' disease (GD) is the most common cause of hyperthyroidism while Hashimoto or autoimmune thyroiditis is the most common cause of hypothyroidism. Spontaneous hypothyroidism may develop after successful medical treatment of GD in up to 20% of cases. This report presents a gentleman who is a known smoker and was diagnosed with GD at the age of 64 years. He was counseled about smoking cessation and started with medical treatment using carbimazole (CBZ). He was adequately controlled using medical treatment, yet he continued to smoke. After 2 years of medical treatment, CBZ was stopped due to developing hypothyroidism on the minimum dose of treatment. Celebrating the discontinuation of treatment, the patient decided to quit smoking. One month later, he was euthyroid; however, 4 months later, he developed overt hypothyroidism. He received levothyroxine replacement therapy and titrated to achieve euthyroidism and remained on levothyroxine for more than 5 years. The possibility that quitting smoking may have triggered the development of hypothyroidism was raised due to the coincidence of developing hypothyroidism only 4 months after quitting smoking. Current smoking is associated with a higher risk of developing both GD and Graves' orbitopathy. Quitting smoking is associated with a higher risk of developing new-onset thyroid autoimmunity. Quitting smoking is also associated with a sevenfold higher risk of autoimmune hypothyroidism especially in the first year of smoking cessation. Involved mechanisms may include a sudden increase in oxidative stress, a sudden increase in iodide delivery to thyroid follicles, or promoting T-helper 1-mediated autoimmune thyroiditis after quitting smoking. The present case suggests that quitting smoking may be a triggering factor for the development of hypothyroidism following successful medical treatment of GD, a phenomenon that may affect one-fifth of GD patients without previously reported triggers.

Quitting smoking may trigger hypothyroidism in previously treated Graves' disease patients Graves' disease is the commonest cause of hyperthyroidism. Medical treatment is the mainstay treatment, and about 5-20% of patients may develop hypothyroidism after successful medical treatment. The triggers to this conversion are not known. The present case, a 64 years old gentleman who is a smoker, after being diagnosed with graves' disease, receives medical treatment for 2 years. On the occasion of stopping medical treatment for graves' disease, he decides to quit smoking. One month later he is euthyroid off medications, but 4 months later, he develops severe hypothyroidism, for which he receives replacement therapy for the following five years. The possibility that quitting smoking may have triggered this conversion was raised. Smoking is associated with a 2-folds higher risk of having graves' disease. Quitting smoking on the other hand increases the risk of acquiring thyroid autoantibodies, and new onset autoimmune hypothyroidism. Quitting smoking is also associated with symptoms of weight gain, constipation, and depression, all of which may also occur in hypothyroidism. That is why, ordering thyroid function tests is recommended in recent quitters if they develop such symptoms. Thus, quitting smoking in the present case may have triggered this severe hypothyroidism. Underlying mechanisms may involve increased oxidative stress or autoimmune reactions favoring the occurrence of autoimmune thyroiditis.

Impact of Workplace Bullying on Quiet Quitting in Nurses: The Mediating Effect of Coping Strategies.

Workplace bullying is common among nurses and negatively affects several work-related variables, such as job burnout and job satisfaction. However, no study until now has examined the impact of workplace bullying on quiet quitting among nurses. Thus, our aim was to examine the direct effect of workplace bullying on quiet quitting and to investigate the mediating effect of coping strategies on the relationship between workplace bullying and quiet quitting in nurses. We conducted a cross-sectional study with a convenience sample of 650 nurses in Greece. We collected our data in February 2024. We used the Negative Acts Questionnaire-Revised, the Quiet Quitting Scale, and the Brief COPE to measure workplace bullying, quiet quitting, and coping strategies, respectively. We found that workplace bullying and negative coping strategies were positive predictors of quiet quitting, while positive coping strategies were negative predictors of quiet quitting. Our mediation analysis showed that positive and negative coping strategies partially mediated the relationship between workplace bullying and quiet quitting. In particular, positive coping strategies caused competitive mediation, while negative coping strategies caused complimentary mediation. Nurses' managers and policy makers should improve working conditions by reducing workplace bullying and strengthening positive coping strategies among nurses.

Qualitative Message Development to Motivate Quitting Smoking in Older Adults: Dementia May Motivate Quitting.

Compared to younger adults, older adults who smoke cigarettes are half as likely to make a quit attempt, but more likely to maintain abstinence using evidence-based smoking treatments (EBSTs), illustrating the need for motivational messages to promote cessation through EBSTs. It is unclear whether messaging regarding the association between smoking and dementia might motivate older adults to quit. We conducted 90-min semi-structured qualitative interviews and surveys via telephone with 24 U.S. older adults who smoke (ages 50-75) with no cognitive impairment history. Rapid content analysis revealed the most reported health-related concern of aging was dementia/cognitive loss/loss of functioning. However, most participants were unaware of the association between cognitive decline and smoking. Participants had seen previous smoking cessation advertisements, but most did not feel motivated to quit by them. The majority found a message about smoking raising dementia risk and quitting decreasing that risk to be motivational for cessation. Exact message content preference varied, but 2 broad categories arose: hope- and fear-based messages. Most participants stated willingness to use some cessation pharmacotherapy and half were willing to use cessation counseling. Participants preferred messages to come from older adults who were successful quitters. To our knowledge, this was the first study to explore potential motivational messages targeting older adult smokers, including the potential acceptability of a dementia-related message in this context. This work supports patient desire for targeted motivational messages for older adult smokers. Messages highlighting the link between smoking and dementia are perceived to be motivational for this group; future work should compare a hope- to fear-based messages.

Emotional dysregulation among English-speaking Hispanic persons who smoke living in the United states.

Hispanic/Latinx (hereafter Hispanic) individuals in the United States (US) experience serious tobacco-related disparities and factors contributing to such disparities need to be adequately identified and clinically addressed. Emotion dysregulation is a key transdiagnostic relevant to smoking. The present cross-sectional investigation sought to test if emotion dysregulation was related to more severe problems during smoking quit attempts (e.g., irritability, weight gain), perceptions of difficulty about quitting, as well as negative and positive beliefs about smoking abstinence in a sample of English-speaking Hispanic adults residing in the US who smoke. Participants included 332 Hispanic adults who engaged in daily cigarette smoking (35.46 years old, 37 % identified as female). Emotion dysregulation was significantly related to more severe problems when quitting and perceived barriers for quitting, as well as negative beliefs about smoking abstinence. Additionally, emotion dysregulation was significantly and negatively related to positive outcomes about smoking abstinence. The amount of change in the various smoking criterion variables accounted for by emotion dysregulation was small (sr2 range: 0.028-0.085), but evident in adjusted models that accounted for a wide range of factors (e.g., depression, drug use severity). Overall, this investigation found consistent empirical evidence that individual differences in emotion dysregulation in Hispanic individuals were associated with several clinically significant smoking processes, suggesting this construct may represent an important factor involved in the maintenance and relapse of smoking among this ethnic population.

Effect of dulaglutide in promoting abstinence during smoking cessation: 12-month follow-up of a single-centre, randomised, double-blind, placebo-controlled, parallel group trial.

Background: Smoking cessation is challenging, despite making use of established smoking cessation therapies. Preclinical studies and one clinical pilot study suggest the antidiabetic drug glucagon-like peptide-1 (GLP-1) analogue to modulate addictive behaviours and nicotine craving. Previously, we reported the short-term results of a randomised, double-blind, placebo-controlled trial. Herein we report long-term abstinence rates and weight developments after 24 and 52 weeks. Methods: This single-centre, randomised, double-blind, placebo-controlled, parallel group trial was done at the University Hospital Basel in Switzerland. We randomly assigned (1:1) individuals with at least a moderate nicotine dependence willing to quit smoking to either a 12-week treatment with dulaglutide 1.5 mg or placebo subcutaneously once weekly in addition to standard of care smoking cessation therapy (varenicline 2 mg/day and behavioural counselling). After 12 weeks, dulaglutide or placebo injections were discontinued and the participants were followed up at week 24 and 52. The primary outcome of self-reported and biochemically confirmed point prevalence abstinence rate, and secondary outcome of secondary outcome of weight change were assessed at weeks 24 and 52. All participants who received one dose of the study drug were included in the intention to treat set and participants who received at least 10/12 doses of the study drug formed the per protocol set. The trial was registered at ClinicalTrials.gov, NCT03204396. Findings: Of the 255 participants who were randomly assigned between June 22, 2017 and December 3, 2020, 63% (80/127) (dulaglutide group) and 65% (83/128) (placebo group) were abstinent after 12 weeks. These abstinence rates declined to 43% (54/127) and 41% (52/128), respectively, after 24 weeks and to 32% (41/127) and 32% (41/128), respectively, after 52 weeks. Post-cessation weight gain was prevented in the dulaglutide group (-1.0 kg, standard deviation [SD] 2.7) as opposed to the placebo group (+1.9 kg, SD 2.4) after 12 weeks. However, at week 24, increases in weight from baseline were observed in both groups (median, interquartile range [IQR]: dulaglutide: +1.5 kg, [-0.4, 4.1], placebo: +3.0 kg, [0.6, 4.6], baseline-adjusted difference in weight change -1.0 kg (97.5% CI [-2.16, 0.16])), and at week 52 the groups showed similar weight gain (median, IQR: dulaglutide: +2.8 kg [-0.4, 4.7], placebo: +3.1 kg [-0.4, 6.0], baseline-adjusted difference in weight change: -0.35 kg (95% CI [-1.72, 1.01])). In the follow-up period (week 12 to week 52) 51 (51%) and 48 (48%) treatment-unrelated adverse events were recorded in the dulaglutide and the placebo group, respectively. No treatment-related serious adverse events or deaths occurred. Interpretation: Dulaglutide does not improve long-term smoking abstinence, but has potential to counteract weight gain after quitting. However, 3 months of treatment did not have a sustained beneficial effect on weight at 1 year. As post-cessation weight gain is highest in the first year after quitting smoking, future studies should consider a longer treatment duration with a GLP-1 analogue in abstinent individuals. Funding: Swiss National Science Foundation, the Gottfried and Julia Bangerter-Rhyner Foundation, the Goldschmidt-Jacobson Foundation, the Hemmi-Foundation, the University of Basel, the Swiss Academy of Medical Sciences.

Experiences of quitting smoking in prisons: A qualitative study of people in custody.

INTRODUCTION: Smoking prevalence among people in custody (PIC) is extremely high, and prison-based smoking cessation interventions are needed. The study explored the quitting experiences of PIC who participated in the 'Quit to Win' contest (QTW). METHODS: This qualitative study, conducted from 2019 to 2021 in two Hong Kong prisons, included semi-structured individual interviews with 26 PIC (13 men and 13 women) who were participants in QTW and two correctional staff who coordinated QTW. A semi-structured interview guide with open-ended questions was developed to examine multilevel factors that promote or impede smoking cessation in prisons. Maximum variation sampling was used to ensure a diverse range of social, demographic, and smoking profiles. Data were managed and analyzed using thematic analysis. RESULTS: Two themes were identified from the data: 1) quitting in prison: barriers and facilitators; and 2) QTW in prison: a trigger for behavior change. Barriers (i.e. stress, boredom, isolation, lack of self-autonomy, nicotine dependence and lack of cessation medication, barriers to moving to a different wing) and facilitators (i.e. concerns about health, money savings, and the smoke-free wing) that impeded or supported smoking cessation during incarceration were identified. QTW provided health education, quitting incentives, and social support that helped PIC overcome the barriers of quitting by serving as a trigger for behavior change. Notably, social visits with family were identified as key drivers of PIC's quitting success, whereas their suspension during the COVID-19 pandemic disincentivized their abstinence. CONCLUSIONS: This study introduced the QTW contest to prisons and provided qualitative evidence on the multilevel factors promoting or impeding smoking cessation in prison. QTW helped PIC overcome the barriers of quitting by serving as a trigger for behavior change. Future prison-based interventions should leverage social support, enhance stress-coping skills, facilitate access to pharmacotherapy, and collaborate with correctional services agencies.

Moral Resilience Reduces Levels of Quiet Quitting, Job Burnout, and Turnover Intention among Nurses: Evidence in the Post COVID-19 Era.

The aim of the study was to examine the impact of moral resilience on quiet quitting, job burnout, and turnover intention among nurses. A cross-sectional study was implemented in Greece in November 2023. The revised Rushton Moral Resilience Scale was used to measure moral resilience among nurses, the Quiet Quitting Scale to measure levels of quiet quitting, and the single-item burnout measure to measure job burnout. Moreover, a valid six-point Likert scale was used to measure turnover intention. All multivariable models were adjusted for the following confounders: gender, age, understaffed department, shift work, and work experience. The multivariable analysis identified a negative relationship between moral resilience and quiet quitting, job burnout, and turnover intention. In particular, we found that increased response to moral adversity and increased moral efficacy were associated with decreased detachment score, lack of initiative score, and lack of motivation score. Additionally, personal integrity was associated with reduced detachment score, while relational integrity was associated with reduced detachment score, and lack of initiative score. Moreover, response to moral adversity was associated with reduced job burnout. Also, increased levels of response to moral adversity were associated with lower probability of turnover intention. Moral resilience can be an essential protective factor against high levels of quiet quitting, job burnout, and turnover intention among nurses. This study was not registered.

Intentions to Quit, Quit Attempts, and the Use of Cessation Aids Among Malaysian Adult Smokers: Findings From the 2020 International Tobacco Control (ITC) Malaysia Survey.

This study examined quitting behavior and use of cessation aids (CAs) among Malaysian adult smokers aged ≥18 years (n = 1,047). Data were from the 2020 International Tobacco Control (ITC) Malaysia Survey were analyzed. A total of 79.9% of Malaysian smokers attempted to quit in the past 12 months and 85.2% intended to quit in the next 6 months. The most common CAs were e-cigarettes (ECs) (61.4%), medication/nicotine replacement therapies (NRTs; 51.0%), and printed materials (36.7%); the least common CA was infoline/quitline services (8.1%). Multivariable logistic regression analysis was performed to examine the association between sociodemographic variables and CAs use. Male smokers were more likely to use infoline/quitline services (adjusted odds ratio [aOR] = 3.27; P = .034). Malay smokers were more likely to use infoline/quitline services (aOR = 3.36; P = .002), ECs (aOR = 1.90; P = .004), printed materials (aOR = 1.79; P = .009), and in-person services (aOR = 1.75; P = .043). Most Malaysian smokers wanted to quit smoking. Furthermore, ECs were the most popular CAs, highlighting the need to assess the effectiveness of ECs for quitting smoking in Malaysia.

Reduced low-prevalence visual search detriment with increasing age: Implications for cognitive theories of aging and real-world search tasks.

When performing multiple successive visual searches, low-prevalence targets are at elevated risk of being missed. This has important implications for real-world visual search tasks, such as diagnostic medical imaging (e.g., searching for a cancer) and airport baggage security screening (e.g., searching for a weapon), which are characterized by low-prevalence targets and potentially dire consequences of target misses. Previous work on low-prevalence visual search indicates that individuals who spontaneously respond more slowly miss fewer targets, which has been attributed to higher quitting thresholds predicting better performance. Previous aging research indicates that older adults typically respond more slowly across multiple task contexts. This has been attributed to both intrinsic limitations in processing speed and a strategic trade-off to prioritize accuracy with increasing age. Synthesizing these two separate lines of research, here we tested whether older adults had a higher quitting threshold and/or slower processing speed in low-prevalence visual search, and the consequences of these for the magnitude of the low-prevalence visual search detriment. We recruited a large sample (N = 380) across a range of ages (20-80 years) and had them search for targets under low- and high-prevalence conditions. Older adults had both slower processing speed and higher quitting thresholds. Older adults were moderately less susceptible to the low-prevalence detriment, and this relationship was mediated by countervailing effects: slower processing speed exacerbated older adults' low-prevalence detriment, whereas elevated quitting threshold mitigated it. Theoretical implications for cognitive aging and practical implications for professional visual search tasks are discussed.

Predictors of Adolescents' Transition Through the Stages of Change for Quitting E-Cigarettes: Findings From the Population Assessment of Tobacco and Health Study.

PURPOSE: To identify predictive factors associated with US adolescents' transition through the stages of change for potentially quitting e-cigarettes using the Trans-theoretical model of behavior change. DESIGN: Prospective cohort study. SETTING: United States. SUBJECTS: We utilized data from adolescents (12-17 years) in Wave 3 of the Population Assessment of Tobacco and Health study who used e-cigarettes exclusively over the past 30 days (n = 177) and were followed up with in Wave 4. MEASURES: Outcome variables were 3 transition categories: those who remained stagnant, those who progressed, and those who regressed in their stage of quitting e-cigarettes. Predictor variables were socio-demographics, e-cigarette harm perception, e-cigarette use at home or by important people, social norms, e-cigarette and anti-tobacco advertisements, and e-cigarette health warnings. ANALYSIS: Weighted-adjusted multinomial regression analysis was performed to determine the association between predictor and outcome variables. RESULTS: From Wave 3 to Wave 4, 19% of adolescents remained stagnant; 73.3% progressed; and 7.7% regressed. Adolescents were less likely to progress in their stage of change if they perceived nicotine in e-cigarettes to be "not at all/slightly harmful" (AOR = .26 [95% CI: .25, .27], P < .001); reported important people's use of e-cigarettes (AOR = .18 [95% CI: .05, .65, P = .009); and "rarely" noticed e-cigarette health warnings (AOR = .28 [95% CI: .08, .98, P = .054). CONCLUSION: Intervention efforts must target specific predictive factors that may help adolescents quit e-cigarettes.

Electronic cigarette use in relation to changes in smoking status and respiratory symptoms.

INTRODUCTION: How e-cigarette use relates to changes in smoking status and respiratory symptoms in the population remains controversial. The aim was to study the association between e-cigarette use and, changes in smoking status and changes in respiratory symptoms. METHODS: A prospective, population-based study of random samples of the population (age 16-69 years) was performed within The Obstructive Lung Disease in Northern Sweden (OLIN) study and West Sweden Asthma Study (WSAS). A validated postal questionnaire containing identical questions was used in OLIN and WSAS at baseline in 2006-2008 and at follow-up in 2016. In total, 17325 participated on both occasions. Questions about respiratory symptoms and tobacco smoking were included in both surveys, while e-cigarette use was added in 2016. RESULTS: In 2016, 1.6% used e-cigarettes, and it was significantly more common in persistent tobacco smokers (10.6%), than in those who quit smoking (2.1%), started smoking (7.8%), or had relapsed into tobacco smoking at follow-up (6.4%) (p<0.001). Among current smokers at baseline, tobacco smoking cessation was less common in e-cigarette users than e-cigarette non-users (14.2% vs 47.6%, p<0.001) and there was no association with a reduction in the number of tobacco cigarettes smoked per day. Those who were persistent smokers reported increasing respiratory symptoms. In contrast, the symptoms decreased among those who quit tobacco smoking, but there was no significant difference in respiratory symptoms between quitters with and without e-cigarette use. CONCLUSIONS: E-cigarette use was associated with persistent tobacco smoking and reporting respiratory symptoms. We found no association between e-cigarette use and tobacco smoking cessation, reduction of number of tobacco cigarettes smoked per day or reduction of respiratory symptoms.

Factors associated with intentions to quit tobacco use in Lebanon: A cross-sectional survey.

Introduction: The prevalence of tobacco smoking in Lebanon is among the highest globally. This study aims to determine past attempts to quit smoking among adults and identify factors associated with intentions to quit. Methods: A nationally representative telephone survey was conducted between June and August 2022. Eligibility criteria included people aged >=18 years residing in Lebanon. The questionnaire was divided into three components: socio-demographic characteristics, cigarette and waterpipe tobacco use behaviours. Binary logistic regression was used to examine factors associated with intention to quit cigarette and waterpipe tobacco use. Results: A total of 2003 respondents were included in the study. The prevalence of any tobacco product use was 41%, the prevalence of current cigarette smoking was 41% and the prevalence of current waterpipe tobacco use was 20%. Approximately 24% of adults who smoke cigarettes and 26% of those who use waterpipe tobacco had previous quit attempts mainly due to health concerns. Intentions to quit smoking within the next 6 months were reported among 12% of survey respondents. Among adults who smoke, past quit attempts increased the likelihood of intentions to quit cigarette smoking by 5-fold (OR: 5.11; 95% CI: 1.80-14.47, p = 0.002) and waterpipe tobacco use by 7-fold (OR: 6.98, 95% CI: 2.63-18.51, p = <0.001). Age and income were associated with intentions to quit cigarette but not waterpipe tobacco use. Conclusion: Intention to quit smoking was strongly associated with past quitting attempts. Understanding factors associated with intentions to quit can help inform the development of context specific smoking cessation interventions.

Nurses quietly quit their job more often than other healthcare workers: An alarming issue for healthcare services.

AIM: To assess the level of quiet quitting among healthcare workers (HCWs) and identify possible differences between nurses, physicians, and other HCWs. We investigated the impact of sociodemographic variables, job burnout, and job satisfaction on quiet quitting levels. BACKGROUND: The quiet-quitting phenomenon is not new but has been frequently discussed during the COVID-19 pandemic. Interestingly, the level of quiet quitting among HCWs has not been measured yet. METHODS: We conducted a cross-sectional study with a convenience sample. We measured sociodemographic variables, job burnout, job satisfaction, and quiet quitting. We adhered to STROBE guidelines for cross-sectional studies. FINDINGS: Among our sample, 67.4% of nurses were quiet quitters, while the prevalence of quiet quitting for physicians and other HCWs was 53.8% and 40.3%, respectively. Multivariable linear regression analysis identified that the levels of quiet quitting were higher among nurses than physicians and other HCWs. Moreover, greater job burnout contributed more to quiet quitting, while less satisfaction implied more quiet quitting. HCWs who work in shifts and those working in the private sector experienced higher levels of quiet quitting. DISCUSSION: More than half of our HCWs were described as quit quitters. Levels of quiet quitting were higher among nurses. Job burnout and job dissatisfaction were associated with higher levels of quiet quitting. IMPLICATIONS FOR NURSING PRACTICE AND NURSING POLICY: Measurement of quiet quitting and identification of risk factors are essential to prevent or reduce quiet quitting levels among HCWs. Our study provides information on this field helping managers and organizations to identify quiet quitters within HCWs. Policymakers and managers should develop and implement interventions both at an organizational level and at an individual level.