Mindfulness meditation is a contemplative practice informed by Buddhism that targets the development of present-focused awareness and non-judgment of experience. Interest in mindfulness is burgeoning, and it has been shown to be effective in improving mental and physical health in clinical and non-clinical contexts. In this report, for the first time, we used electroencephalography (EEG) combined with a neurophenomenological approach to examine the neural signature of \"cessation\" events, which are dramatic experiences of complete discontinuation in awareness similar to the loss of consciousness, which are reported to be experienced by very experienced meditators, and are proposed to be evidence of mastery of mindfulness meditation. We intensively sampled these cessations as experienced by a single advanced meditator (with over 23,000 h of meditation training) and analyzed 37 cessation events collected in 29 EEG sessions between November 12, 2019, and March 11, 2020. Spectral analyses of the EEG data surrounding cessations showed that these events were marked by a large-scale alpha-power decrease starting around 40 s before their onset, and that this alpha-power was lowest immediately following a cessation. Region-of-interest (ROI) based examination of this finding revealed that this alpha-suppression showed a linear decrease in the occipital and parietal regions of the brain during the pre-cessation time period. Additionally, there were modest increases in theta power for the central, parietal, and right temporal ROIs during the pre-cessation timeframe, whereas power in the Delta and Beta frequency bands were not significantly different surrounding cessations. By relating cessations to objective and intrinsic measures of brain activity (i.e., EEG power) that are related to consciousness and high-level psychological functioning, these results provide evidence for the ability of experienced meditators to voluntarily modulate their state of consciousness and lay the foundation for studying these unique states using a neuroscientific approach.

The prevalence of waterpipe smoking among women in southern Iran is significantly higher than women in other regions of Iran. We aimed to explore the effect of several demographic factors, knowledge, attitude, self-efficacy and social norms on a successful cessation of waterpipe smoking in the marginalized women of Bandar Abbas city, in the south of Iran.
This case-control study was conducted in 2022 among 731 women (246 subjects who successfully quit waterpipe smoking in the case group and 485 who smoked waterpipe in the control group). A cluster sampling method was used to collect the required data through face-to-face interviews and a researcher-made questionnaire. The questionnaire consisted of demographic information, behavioral information about waterpipe smoking and knowledge, attitude, self-efficacy and social norms. The data were analyzed in STATA 14 using univariate and multivariate regression analyses.
The mean and standard deviation of age was 39.24 ± 11.93 and 37.18 ± 13.57 in the control and case groups, respectively. With an increase of one score in social norm (OR: 1.046), the odds of cessation were increased for 4%. With an increase of one score in self-efficacy (OR: 1.152), the odds of cessation were increased for 15%. With an increase of one score in knowledge (OR: 1.064), the odds of cessation were increased for 6%. With an increase of one score in attitude (OR: 1.215) the odds of cessation were increased for 21%.
The present findings revealed personal and interpersonal influential factors in successful waterpipe cessation. Women\'s knowledge can be increased and their attitude can be changed. Important people in women\'s lives can be influenced to, consequently, affect women positively and improve their self-esteem.

Interest in quitting smoking is common among young adults who smoke, but it can prove challenging. Although evidence-based smoking cessation interventions exist and are effective, a lack of access to these interventions specifically designed for young adults remains a major barrier for this population to successfully quit smoking. Therefore, researchers have begun to develop modern, smartphone-based interventions to deliver smoking cessation messages at the appropriate place and time for an individual. A promising approach is the delivery of interventions using geofences-spatial buffers around high-risk locations for smoking that trigger intervention messages when an individual\'s phone enters the perimeter. Despite growth in personalized and ubiquitous smoking cessation interventions, few studies have incorporated spatial methods to optimize intervention delivery using place and time information.
This study demonstrates an exploratory method of generating person-specific geofences around high-risk areas for smoking by presenting 4 case studies using a combination of self-reported smartphone-based surveys and passively tracked location data. The study also examines which geofence construction method could inform a subsequent study design that will automate the process of deploying coping messages when young adults enter geofence boundaries.
Data came from an ecological momentary assessment study with young adult smokers conducted from 2016 to 2017 in the San Francisco Bay area. Participants reported smoking and nonsmoking events through a smartphone app for 30 days, and GPS data was recorded by the app. We sampled 4 cases along ecological momentary assessment compliance quartiles and constructed person-specific geofences around locations with self-reported smoking events for each 3-hour time interval using zones with normalized mean kernel density estimates exceeding 0.7. We assessed the percentage of smoking events captured within geofences constructed for 3 types of zones (census blocks, 500 ft2 fishnet grids, and 1000 ft2 fishnet grids). Descriptive comparisons were made across the 4 cases to better understand the strengths and limitations of each geofence construction method.
The number of reported past 30-day smoking events ranged from 12 to 177 for the 4 cases. Each 3-hour geofence for 3 of the 4 cases captured over 50% of smoking events. The 1000 ft2 fishnet grid captured the highest percentage of smoking events compared to census blocks across the 4 cases. Across 3-hour periods except for 3:00 AM-5:59 AM for 1 case, geofences contained an average of 36.4%-100% of smoking events. Findings showed that fishnet grid geofences may capture more smoking events compared to census blocks.
Our findings suggest that this geofence construction method can identify high-risk smoking situations by time and place and has potential for generating individually tailored geofences for smoking cessation intervention delivery. In a subsequent smartphone-based smoking cessation intervention study, we plan to use fishnet grid geofences to inform the delivery of intervention messages.

The disappearance of drug from hair does not occur immediately after abstinence because dormant hair may contribute to the positivity of freshly grown hair. The aim of this study was to assess ketamine disappearance from hair after treatment cessation and to review the literature data. A 22-year-old female received three intravenous doses of ketamine (171 mg) for major depression treatment. Seventeen weeks later, a 26 cm lock of hair was sampled, and ketamine was determined by liquid chromatography tandem mass spectrometry (LC-MS/MS) on seven segments: A (proximal, 0-2 cm), B (2-4 cm), C (4-6 cm, period of ketamine therapy), and D to G (4 × 5 cm). Ketamine concentration was 58 pg/mg in Segment C and remained detectable over 4 months after treatment cessation at 67 pg/mg in Segment B and 2 pg/mg in Segment A, representing a 97% drop from the initial concentration. Ketamine elimination half-life in hair was estimated at 0.88 month, implying that indetectable concentration should be expected 7 months after cessation. Axial diffusion was excluded as ketamine was not detected in Segments D-G. Given the low ketamine concentrations, norketamine was not detected. While no data on ketamine disappearance from hair have been published to date, previous studies have shown that discontinuation resulted in negative hair results after 3 months for heroin, 3-4 months for cocaine and tramadol, 6 months for amphetamine and methamphetamine, and 6-7 months for THC-COOH. This study provides useful findings for ketamine hair concentration interpretation, which should be validated by more consistent and comprehensive investigations.

BACKGROUND: The World Health Organization (WHO) had launched the Framework convention on Tobacco Control (FCTC) in 2003 in order to curve the epidemic of tobacco use worldwide. Since most smokers begin to smoke before the age of 18 years, Global Youth Tobacco Survey (GYTS) has been developed in order to monitor tobacco smoking among adolescents. Our aim was to assess smoking among Tunisian youth using GYTS 2017 data.
METHODS: GYTS is cross-sectional, two cluster school-based survey to produce a representative sample of students aged 13-15 years. It was conducted in 2017 in 67 secondary schools in Tunisia. The investigation tool was an anonymously answered questionnaire, which contained core questions about six majors tobacco related topics.
RESULTS: Lifetime cigarettes and waterpipe prevalence were 7.8% (14.4% of boys, 1.6% of girls, p<0.001) and 7.2% (13% of boys, 2.8% of girls, p<0.001), respectively. Among cigarette smokers, 62.5% were able to buy their own cigarettes. Overall, 23.5% of cigarette smokers and 41.5% of waterpipe smokers were not able to buy their products because of their age. Sixty percent of smokers wanted to quit and 56.4% had already tried to stop. Half of the respondents were exposed to SHS in their homes and 62.1% in indoor public places.
CONCLUSIONS: In Tunisia, tobacco prevalence among youth is high. Youth have free access to tobacco products and smoke-free regulations are only partially respected.

OBJECTIVE: Although successful smoking cessation after cancer diagnosis is important, research on e-cigarette use and smoking behavior among cancer survivors (CS) is limited. This study compared cigarette and e-cigarette use among CS and non-cancer populations in Korea.
METHODS: This study analyzed the 2013-2018 National Health and Nutrition Survey data to investigate e-cigarette use and smoking behavior among Korean CS. The data were categorized into 1260 CS and 5040 non-cancer populations using the propensity score matching method. A multiple logistic regression was conducted among CS who previously used cigarettes or e-cigarettes to evaluate factors influencing successful cessation.
RESULTS: Regarding conventional smoking, the proportion of ex-smokers was higher (25.2% versus 19.9%) than current smokers (6.7% versus 10.6%) in the CS group than in the propensity matched non-cancer population (PMNCP) (p < 0.001). However, ever use of e-cigarettes did not differ between them (2.4% versus 2.7%, p = 0.529). Successful cessation, defined as not using either cigarettes or e-cigarettes, correlated with problem drinking (OR 0.442, 95% CI 0.207-0.940), depression (OR 0.276, 95% CI 0.087-0.872), and cancer sites. CS of stomach, liver, colorectal, and lung cancer maintained higher successful smoking cessation rates than PMNCP.
CONCLUSIONS: Korean CS had a higher cessation rate than PMNCP regarding conventional smoking; however, there was no difference in e-cigarette use.
CONCLUSIONS: In Korea, some CS continue to use e-cigarettes, and physicians should focus on helping them quit. Individualized and timely interventions should be provided for both cigarette and e-cigarette users, considering factors influencing successful cessation.

OBJECTIVE: To investigate factors associated with tobacco cessation among patients with (diabetes or hypertension) who attended Ministry of Health (MOH) Tobacco Cessation Clinics (TCC), Saudi Arabia over the years 2012-2017.
METHODS: A case control study was conducted with 402 respondents. Data collection took place in Riyadh, Saudi Arabia from January 2018 to April 2018. Cases were patients with diabetes or hypertension who had been abstinent from tobacco for at least 6 months after attending MOH tobacco cessation clinics. Controls were patients with chronic diseases who had not quit tobacco after cessation clinics. Data were collected through a questionnaire by telephone interviews. Descriptive analysis, bivariate analysis, and multivariable regression were carried out.
RESULTS: Overall, 85 (21.1%) respondents had successfully quit tobacco, while 317 (78.9%) had not. Among those who had not quit cigarettes, 97 (42.4%) had reduced cigarette consumption, the mean difference in cigarette smoking from before to after MOH TCC was 01.812±5.928 (95% confidence interval [CI]: 2.584-1.040). Most of those who used other forms of tobacco 16 (72.7%) had not changed their consumption. The likelihood of successfully quitting tobacco increased with those lower educational level (adjusted odds ratio [AOR]=17.01, 95% CI: 1.00-289.2, p=0.05) and among those who reported controlled hypertension (AOR=17.8, 95% CI: 1.5-209.6, p=0.02).
CONCLUSIONS: To increase abstention rates, chronic disease counseling with regular follow-ups, providing toll-free telephone services should be considered. More effort is needed to reduce non-cigarette tobacco consumption.

BACKGROUND: This study focuses on a Midwest State\'s tobacco quitline. The purpose was to understand possible relationships between services provided and cessation rates.
METHODS: The data examined in this study came from aggregated intake/treatment data and follow-up interview data. The overall response rate was 22.9%. Measures included quit rate, quit duration, length of services, number of services, stage of change, confidence to quit, and source of referral.
RESULTS: The dataset included 1452 cases; 77% enrolled in services only once, 17% enrolled twice and 6% enrolled three or more times. Use of medication was higher among those who quit [χ2(1)=7.1, p=0.009, Cramer\'s V=0.07] than among those who did not. Use of e-cigarettes was lower among those who quit at the time of follow-up [χ2(1)=31.5, p<0.001, Cramer\'s V=0.15]. Respondents who had quit at the time of the follow-up were significantly more likely to have reported a higher confidence to quit at intake [χ2(1)=24.1, p<0.001, Cramer\'s V=0.13]. Among those who improved their stage of change during treatment, 35% had quit at follow-up, compared with 18% among those who did not improve.
CONCLUSIONS: Study findings related to stage of change and associations between confidence and cessation may have meaningful implications. Cessation success may depend on what is accomplished during treatment and the intersection of clients\' motivation, satisfaction, confidence, and cessation status at the end of treatment.