Intraoperative Neuromonitoring Using a Single Transcartilage Needle Electrode During Thyroidectomy.

OBJECTIVES: Application of transcartilage needle electrode for intraoperative neuromonitoring (IONM) during thyroidectomy has been considered an alternative method of electromyography (EMG) tube recording. However, needle electrodes must be inserted into both sides of the thyroid cartilage with exposure of the cartilage lamina. We sought to evaluate the feasibility of applying a single ipsilateral transcartilage needle electrode for IONM during unilateral hemithyroidectomy. METHODS: Thirty-four patients underwent IONM during unilateral thyroidectomy. A dual disposable needle electrode was inserted obliquely into the inferior lower third of the ipsilateral lamina of the thyroid cartilage. Patients were classified as deep (≥ 5 mm) or superficial (< 5 mm) by the depth of the needle electrode inserted into the thyroid cartilage. Without using an EMG tube, IONM was done according to the standardized procedure using a single needle electrode only. RESULTS: IONM was successful in all nerves at risk. Amplitude of the EMG signal was stable during the surgery, with no cases presenting loss of signal. Amplitude of the signal from vagal and recurrent laryngeal nerve stimulation was significantly lower when needle insertion was superficial (< 5 mm). None of the patients showed postoperative vocal cord paralysis, and complications related to needle electrode were not identified. CONCLUSION: IONM using a single ipsilateral transcartilage needle electrode during unilateral hemithyroidectomy was feasible with no significant complications. It may serve as an alternative method of IONM with the advantage of minimal exposure of the thyroid cartilage lamina. LEVEL OF EVIDENCE: 4 Laryngoscope, 131:448-452, 2021.

Executive function fails to predict smoking outcomes in a clinical trial to motivate smokers to quit.

BACKGROUND: Executive function (EF) is considered an important mediator of health outcomes. It is hypothesized that those with better EF are more likely to succeed in turning their intentions into actual health behaviors. Prior studies indicate EF is associated with smoking cessation. Experimental and longitudinal studies, however, have yielded mixed results. Few studies have examined whether EF predicts post-treatment smoking behavior. Fewer still have done so prospectively in a large trial. We sought to determine if EF predicts quit attempts and cessation among community smokers in a large randomized trial evaluating the efficacy of motivational interventions for encouraging cessation. METHODS: Participants (N=255) completed a baseline assessment that included a cognitive battery to assess EF (Oral Trail Making Test B, Stroop, Controlled Oral Word Association Test). Participants were then randomized to 4 sessions of Motivational Interviewing or Health Education or one session of Brief Advice to quit. Quit attempts and cessation were assessed at weeks 12 and 26. RESULTS: In regression analyses, none of the EF measures were statistically significant predictors of quit attempts or cessation (all ps>0.20). CONCLUSIONS: Our data did not support models of health behavior that emphasize EF as a mediator of health outcomes. Methodological shortcomings weaken the existing support for an association between EF and smoking behavior. We suggest methodological improvements that could help move this potentially important area of research forward.

Implicit Attitudes and Smoking Behavior in a Smoking Cessation Induction Trial.

INTRODUCTION: Although studies have suggested that implicit attitudes may predict smoking-related decisions, evidence that changes in implicit attitudes toward smoking are related to changes in smoking behavior is lacking. Using data from a trial comparing interventions to induce quit attempts among unmotivated smokers, this study examined whether changes in implicit attitudes were associated with quit attempts and cessation after controlling for explicit motivation. METHODS: Daily smokers recruited from the community completed measures of implicit attitudes (Implicit Association Test) and explicit measure of motivation to smoke at baseline, mid-intervention (week 12 [W12]) and follow-up (week 26 [W26]). Quit attempts and cessation were assessed at follow-up, and cessation was biochemically verified. RESULTS: As hypothesized, Implicit Association Test scores became more negative from baseline to W12, a change that was sustained at follow-up. Logistic regression analyses in which implicit attitudes were used to predict smoking outcomes revealed that negative changes in implicit attitudes from baseline to W12 and from baseline to W26 were significantly related to quit attempts (OR = 0.71, 95% CI [0.52, 0.97], p < .05 for both) independent of explicit motivation. Negative changes in implicit attitudes from baseline to W26 were significantly related to cessation (OR = 0.50, 95% CI [0.25, 1.00], p < .05). CONCLUSIONS: Negative changes in implicit attitudes were associated with positive changes in smoking behavior independent of explicit motivation. This result indicates that smoking cessation interventions may be enhanced by incorporating strategies to change implicit attitudes, and that changes in implicit attitudes are also potentially important intervention outcomes. IMPLICATIONS: Smoking cessation interventions may be improved by going beyond the current focus on explicit psychological constructs and targeting automatic cognitive processes such as implicit attitudes. The results are encouragement to examine how best to manipulate smokers' implicit attitudes as well as to determine the effect on their smoking behavior.

Recruiting unmotivated smokers into a smoking induction trial.

Little is known about effective methods to recruit unmotivated smokers into cessation induction trials, the reasons unmotivated smokers agree to participate, and the impact of those reasons on study outcomes. A mixed-method approach was used to examine recruitment data from a randomized controlled cessation induction trial that enrolled 255 adult smokers with low motivation to quit. Over 15 months, 33% of smokers who inquired about the study were enrolled. Common recruitment methods included word-of-mouth, print advertisements and clinic referrals. Frequently mentioned reasons for participating included to: gain financial incentives (44.7%), learn about research or help others quit (43%), learn about smoking and risks (40%) and help with future quits (i.e. Quit Assistance, 23.9%). Separate regression models predicting study outcomes at 26 weeks indicated that smokers who said they participated for Quit Assistance reported higher motivation to quit (B 1.26) and were more likely to have made a quit attempt (OR 2.03) compared to those not mentioning this reason, when baseline characteristics were controlled. Understanding reasons for unmotivated smokers' interest in treatment can help practitioners and researchers design effective strategies to engage this population.

A Randomized Trial of Motivational Interviewing: Cessation Induction Among Smokers With Low Desire to Quit.

INTRODUCTION: Despite limitations in evidence, the current Clinical Practice Guideline advocates Motivational Interviewing for smokers not ready to quit. This study evaluated the efficacy of Motivational Interviewing for inducing cessation-related behaviors among smokers with low motivation to quit. DESIGN: Randomized clinical trial. SETTING/PARTICIPANTS: Two-hundred fifty-five daily smokers reporting low desire to quit smoking were recruited from an urban community during 2010-2011 and randomly assigned to Motivational Interviewing, health education, or brief advice using a 2:2:1 allocation. Data were analyzed from 2012 to 2014. INTERVENTION: Four sessions of Motivational Interviewing utilized a patient-centered communication style that explored patients' own reasons for change. Four sessions of health education provided education related to smoking cessation while excluding elements characteristic of Motivational Interviewing. A single session of brief advice consisted of brief, personalized advice to quit. MAIN OUTCOMES MEASURES: Self-reported quit attempts; smoking abstinence (biochemically verified); use of cessation pharmacotherapies; motivation; and confidence to quit were assessed at baseline and 3- and 6-month follow-ups. RESULTS: Unexpectedly, no significant differences emerged between groups in the proportion who made a quit attempt by 6-month follow-up (Motivational Interviewing, 52.0%; health education, 60.8%; brief advice, 45.1%; p=0.157). Health education had significantly higher biochemically verified abstinence rates at 6 months (7.8%) than brief advice (0.0%) (8% risk difference, 95% CI=3%, 13%, p=0.003), with the Motivational Interviewing group falling in between (2.9% abstinent, 3% risk difference, 95% CI=0%, 6%, p=0.079). Both Motivational Interviewing and health education groups showed greater increases in cessation medication use, motivation, and confidence to quit relative to brief advice (all p<0.05), and health education showed greater increases in motivation relative to Motivational Interviewing (Cohen's d=0.36, 95% CI=0.12, 0.60). CONCLUSIONS: Although Motivational Interviewing was generally more efficacious than brief advice in inducing cessation behaviors, health education appeared the most efficacious. These results highlight the need to identify the contexts in which Motivational Interviewing may be most efficacious and question recommendations to use Motivational Interviewing rather than other less complex cessation induction interventions. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT01188018.

The relationship between ART adherence and smoking status among HIV+ individuals.

Smoking is highly prevalent among HIV+ individuals and studies indicate that it may be associated with poor ART adherence, though the relationship is poorly understood. In addition little is known about interest in quitting among HIV+ smokers who are having adherence difficulties. We examined smoking and ART adherence among 203 HIV+ individuals enrolled in a randomized trial of interventions to increase ART adherence. Prior analyses indicated there were no overall treatment group effects. Smoking status and motivation to quit was assessed at baseline and ART adherence was assessed at week 12, 24, 36, and 48. Longitudinal generalized estimating equation analysis that controlled for treatment group revealed that smoking status was not significantly related to adherence over time. Motivation to quit was high with 58 % intending to quit in the next 6 months and 25 % intending to quit in the next 30 days. Findings suggest that smoking is not associated with adherence among those with adherence difficulties. However it does not diminish importance of addressing both behaviors especially given HIV+ smokers substantial interest in changing smoking behavior.

Health risk perceptions predict smoking-related outcomes in Greek college students.

Health risk perception in smoking behavior was prospectively evaluated in a cluster-randomized trial for smoking cessation in Greek college students. Perceived Vulnerability (PV), Precaution Effectiveness, Optimistic Bias, and smoking behavior measures (quit attempts and cessation) were assessed in college-aged Greek student smokers at baseline, end of treatment (3 months), and follow-up (6 months). Using generalized estimating equations, baseline risk perception variables and change in risk perception variables between baseline and end of treatment were examined as predictors of the dichotomous smoking outcome variables. Results revealed that higher baseline PV [OR = 1.42 (1.21, 1.68)] predicted a greater likelihood of a quit attempt (n = 267). An increased likelihood of cessation [OR = 1.41 (1.15, 1.72)] was also predicted by an increase in PV from baseline to end of treatment (n = 243). Overall results suggested that PV was the strongest predictor of smoking behavior change, supporting further examination of health risk perceptions in promoting smoking cessation among Greek college smokers.

Improving understanding of the quitting process: psychological predictors of quit attempts versus smoking cessation maintenance among college students.

This study examined motivation, positive and negative outcome expectations of quitting, and self-efficacy as predictors of quit attempts and cessation maintenance in a smoking cessation intervention for college students (N = 303). Psychological measures assessed at baseline were used to predict smoking behavior outcomes. Analysis of variance (ANOVA) and logistic regression analysis revealed that motivation and self-efficacy were strong, differential predictors of quit attempts and cessation maintenance, respectively. This study extends the previous findings regarding psychological predictors of quitting processes to college students, and suggests the need for interventions tailored according to phases of quitting processes.

A comparison of autonomous regulation and negative self-evaluative emotions as predictors of smoking behavior change among college students.

This study compared autonomous self-regulation and negative self-evaluative emotions as predictors of smoking behavior change in college student smokers (N = 303) in a smoking cessation intervention study. Although the two constructs were moderately correlated, latent growth curve modeling revealed that only autonomous regulation, but not negative self-evaluative emotions, was negatively related to the number of days smoked. Results suggest that the two variables tap different aspects of motivation to change smoking behaviors, and that autonomous regulation predicts smoking behavior change better than negative self-evaluative emotions.