Cigarette smoking decline among US young adults from 2000 to 2019, in relation to state-level cigarette price and tobacco control expenditure.

OBJECTIVE: To investigate the association of state-level cigarette price and tobacco control expenditure with the large 2000-2019 decline in cigarette smoking among US 18-24 year-olds. METHODS: Smoking behaviour was assessed in the 24 most populous US states using the 1992-2019 Tobacco Use Supplements to the Current Population Survey; association with price and expenditure was tested using adjusted logistic regression. States were ranked by inflation-adjusted average price and tobacco control expenditure and grouped into tertiles. State-specific time trends were estimated, with slope changes in 2001/2002 and 2010/2011. RESULTS: Between 2000 and 2010, the odds of smoking among US young adults decreased by a third (adjusted OR, AOR 0.68, 95% CI 0.56 to 0.84). By 2019, these odds were one-quarter of their 2000 level (AOR 0.24, 95% CI 0.19 to 0.31). Among states in the lowest tertile of price/expenditure tobacco control activity, initially higher young adult smoking decreased by 13 percentage points from 2010 to 2018-2019, to a prevalence of 5.6% (95% CI 4.5% to 6.8%), equal to that in the highest tobacco-control tertile of states (6.5%, 95% CI 5.2% to 7.8%). Neither state tobacco control spending (AOR 1.0, 95% CI 0.999 to 1.002) nor cigarette price (AOR 0.96, 95% CI: 0.92 to 1.01) were associated with young adult smoking in statistical models. In 2019, seven states had prevalence over 3 SDs higher than the 24-state mean. CONCLUSION: National programmes may have filled a gap in state-level interventions, helping drive down the social acceptability of cigarette smoking among young adults across all states. Additional interventions are needed to assist high-prevalence states to further reduce smoking.

Predictors of parent self-monitoring patterns in a family-based behavioral weight loss treatment program.

OBJECTIVE: Self-monitoring dietary intake is a critical component of family-based intensive health behavior and lifestyle treatment for pediatric obesity, but adherence rates are often low. This study identifies predictors of parent self-monitoring rates during treatment. METHODS: A secondary analysis of parent self-monitoring data from a randomized controlled trial involving 150 parent-child dyads. Patterns of self-monitoring were identified using a latent class mixed model approach. Logistic regression analyses evaluated predictors of self-monitoring patterns. RESULTS: Latent class models identified two trajectory groups: a high consistent self-monitoring group and a low-decreasing self-monitoring group. When compared to parents in the low group, parents in the high group lost more weight throughout treatment. Children in the high group had a similar trajectory for weight loss; however, the groups were not statistically different. Higher levels of family chaos and poorer family problem-solving skills were associated with higher odds of being in the low group. CONCLUSION: This study identified two patterns of rates of parent self-monitoring, which were associated with parent weight loss and were differentiated by family chaos and poor problem-solving. These findings suggest that families with high levels of chaos and poor problem-solving could benefit from early intervention to improve outcomes in pediatric obesity treatment programs. TRIAL REGISTRATION: Clinicaltrials.gov Identifier: NCT01197443.

Validation of a laboratory craving assessment and evaluation of 4 different interventions on cravings among adults with overweight or obesity.

Food cue reactivity (FCR) is an appetitive trait associated with overeating and weight gain. We developed a laboratory craving assessment to objectively evaluate cognitive aspects of FCR. This study examined the preliminary construct and criterion validity of this craving assessment and evaluated 4 different interventions, 2 of which incorporated cue-exposure treatment for food, on craving over treatment and follow-up. 271 treatment-seeking adults with overweight/obesity (body mass index = 34.6[5.2]; age = 46.5[11.8]; 81.2% female; 61.6% non-Latinx White) completed the Food Cue Responsivity Scale and the laboratory craving assessment, during which they alternated holding and smelling a highly craved food and provided craving ratings over 5 min. Participants were subsequently randomized to 26 treatment sessions over 12-months of ROC, Behavioral Weight Loss (BWL), a combined arm (ROC+) and an active comparator (AC), and repeated the craving assessment at post-treatment and 12-month follow-up. Linear mixed-effects models assessed associations between trial type (holding vs. smelling), trial number, pre-treatment FCR, treatment arm, assessment time point, and craving. Cravings were greater when smelling vs. holding food (b = 0.31, p < 0.001), and cravings decreased over time (b = -0.02, p < 0.001). Participants with higher pre-treatment FCR reported elevated cravings (b = 0.29, p < 0.001). Longitudinally, we observed a significant 3-way interaction in which treatment arm modified the relationship between pre-treatment FCR and craving over time (F(17,5122) = 6.88, p < 0.001). An attenuated FCR-craving relationship was observed in ROC+ and BWL from baseline to post-treatment but was only sustained in BWL at follow-up. This attenuation was also observed in ROC and AC from post-treatment to follow-up. The preliminary validity of this laboratory craving assessment was supported; however, greater craving reductions over time in ROC/ROC+ compared to BWL and AC were not consistently observed, and thus do not appear to fully account for the moderating effect of FCR on weight losses observed in the trial.

A randomized controlled trial examining general parenting training and family-based behavioral treatment for childhood obesity: The ReFRESH study design.

Family-based behavioral treatment (FBT) is one of the most effective treatments for childhood obesity. These programs include behavior change strategies and basic parenting training to help parents make healthy diet and physical activity changes for their children. While effective, not all families respond to this program. Additional training on how to effectively deliver these behavior change strategies may improve outcomes. The authoritative parenting style is associated with many positive academic and socio-emotional outcomes in children, and is characterized by displays of warmth and support while also being consistent with setting limits and boundaries. This parenting style has also been associated with normal weight status. Furthermore, parenting training programs that promote this parenting style for children with behavioral issues have shown unintended effects on decreasing child weight status. Therefore, our goal was to examine the effect of adding more intensive parenting training to FBT on child weight status. We randomized 140 children and their parent to either FBT or FBT + Parenting Training (FBT + PT). Assessments were conducted at baseline, mid-treatment (month 3), post-treatment (month 6), 6-month follow-up (month 12), and 12-month follow-up (month 18). Primary outcome was change in child weight status. Secondary outcomes were rates of drop-out, treatment adherence, and acceptability. If effective, this program may provide another alternative for families to help improve outcomes in childhood obesity management.

Importance of Various E-Cigarette Device and E-Liquid Characteristics by Smoking Status among Young Adults Who Vape.

BACKGROUND: E-cigarette product characteristics are known to influence appeal among young adults. Understanding which characteristics appeal to individuals with (vs. without) a history of combusted tobacco use is essential for developing effective tobacco control policies. METHODS: Anonymous, self-report data were collected from young adults (18-30 years) who had used e-cigarettes in the past 30 days (n = 295) online via Prolific from September-October 2019. Using a visual analogue scale (range: 0-100), participants rated the importance of ten e-cigarette device and nine e-liquid characteristics. Adjusted linear regression models were used to evaluate the association of combusted tobacco use status (never, former, current) with mean rating scores for each of the nineteen characteristics. RESULTS: The most important e-cigarette device characteristics were price (Mean = 81.1; [SD = 17.9]), size (Mean = 75.5 [SD = 20.9]), and hit strength (Mean = 73.8 [SD = 20.4]) while the most important e-liquid characteristics were flavor (M = 85.1 [SD = 16.3]), price (M = 80.9 [SD = 18.4]), and nicotine level (M = 77.8 [18.9]). Differences by combusted tobacco use status were observed for device brand, temperature/voltage, customizability, color, and popularity, with the highest ratings generally observed among those concurrently using combustible tobacco products. For e-liquids, differences by use status were observed for flavor, price, and bottle type. Notably, those concurrently using combusted products rated flavor as less important than those with no history of combustible tobacco use (B=-5.01[95%CI=-9.97, -0.05]). CONCLUSIONS: The self-rated importance of e-cigarette device and e-liquid attributes varies by combustible tobacco use status among young adults which may be used to inform regulatory decisions regarding e-cigarette product characteristics.

Exploring relationships among appetitive traits, negative affect, and binge eating in adults with overweight or obesity.

Binge eating (BE) is a significant public health concern due to its prevalence and impact on mental and physical health. While research has suggested both negative affect and appetitive traits are associated with BE, few studies have investigated these constructs concurrently. Structural equation modeling (SEM) evaluated relationships between negative affect, reward-related appetitive traits, and BE among 293 adults with overweight or obesity (OW/OB) seeking treatment for BE, overeating, and weight management (m age = 46.6; m body mass index[BMI] = 34.5; 81.2 % female; 20.1 % Latinx, 60.8 % White non-Latinx). BE was related to negative affect (ß = 0.53; p < 0.01) and appetitive traits (ß = 1.53; p < 0.001). Negative affect and appetitive traits were related to one another (r = 0.42; p < 0.001), and the full model accounted for 77 % of the variance in BE. In an exploratory follow-up analysis, multigroup SEM evaluated the above relationships in models stratified by sex. Exploratory findings demonstrated both negative affect and appetitive traits were related to BE across sex, particularly when examining BE cognitions and behaviors. However, relationships in men depended upon BE assessment tool. These findings highlight that both negative affect and appetitive traits are related to BE, and jointly may represent significant risk and maintenance factors, particularly in adults with OW/OB. Our findings also highlight the importance of future investigation of sex differences in BE and the potential impact of assessment method.

Adding executive function training to cognitive behavioral therapy for binge eating disorder: A pilot randomized controlled trial.

Evidence-based treatments for binge eating disorder (BED), such as cognitive behavioral therapy (CBT) lead to successful outcomes only about half the time. Individuals with BED often have measurable deficits in executive function (EF) that may challenge adherence to or impact of cognitive behavioral intervention components. The aim of this study was to evaluate the impact of adding EF training to CBT by combining CBT with a compensatory cognitive training approach (EF-CBT). Participants were 32 adults with BED, overweight/obesity, and comorbid anxiety or depression who were randomly assigned to four months of group treatment in either standard CBT or EF-CBT. Outcomes were assessed at baseline, post-treatment, and at 2-month follow-up. Results showed that EF-CBT was feasible and acceptable, comparable to CBT. Both groups significantly decreased loss of control (LOC) days, clinical impairment, and depression at post-treatment and 2-month follow-up; though there were no differences between groups. Neither group significantly reduced anxiety or weight. Exploratory analyses found that participants with lower EF treated with EF-CBT were less likely to have LOC at post-treatment than those with lower EF treated with CBT. Higher self-monitoring rates during treatment were associated with lower LOC at post-treatment and participants with lower EF were more likely to self-monitor in the EF-CBT arm relative to the CBT arm. These findings suggest that EF-CBT is feasible, acceptable and efficacious, although larger scale research is needed. EF-CBT may be particularly suited for individuals with BED who have lower EF.

Reduction in eating disorder symptoms among adults in different weight loss interventions.

Restriction of food intake and counting calories as part of weight loss programs are thought to trigger eating behaviors and attitudes which can lead to eating disorders. We have developed a treatment model, Regulation of Cues (ROC), that targets appetitive traits, including food responsiveness and satiety responsiveness, which could address overeating at an implicit level and reduce risk of detrimental behaviors and attitudes. This manuscript evaluates eating disorder symptoms, attitudes, and behaviors among adults with overweight or obesity randomized to ROC, behavioral weight loss (BWL), a combination of ROC + BWL (ROC+) and an active comparator (AC). Participants included 271 adults with a body mass index of 25 to 45, age 18 to 65 years, and a lack of comorbidities that could interfere with participation. Assessments occurred at baseline, mid-treatment (6 months), post-treatment (12-months) and 6- and 12-month follow-up. During treatment, participants in all four arms showed decreases in Eating, Weight, and Shape concerns on the Eating Disorder Examination-Questionnaire and binge eating symptoms on the Binge Eating Scale which were maintained at 6-month follow-up but increased at the 12-month follow-up. Both the ROC+ and BWL arms showed increases in Restraint during treatment which dissipated after treatment ended. This study contributes to a growing body of literature demonstrating that weight loss programs are not associated with increases in eating disorder symptoms. Future studies should evaluate interventions to maintain improvements in eating disorder symptoms following weight loss programs.

Changes in Tobacco Dependence and Association With Onset and Progression of Use by Product Type From Waves 1 to 3 of the Population Assessment of Tobacco and Health (PATH) Study.

INTRODUCTION: This study examined trajectories of tobacco dependence (TD) in relationship to changes in tobacco product use, and explored the effects of product-specific adding, switching, or discontinued use on dependence over time. AIMS AND METHODS: Data were analyzed from the first three waves from the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative, longitudinal study of adults and youth in the United States. Data included 9556 wave 1 (2013-2014) adult current established tobacco users aged 18 or older who completed all three interviews and had established use at ≥2 assessments. Mutually exclusive groups included: users of cigarettes only, e-cigarettes only, cigars only, hookah only, any smokeless only, cigarette + e-cigarette dual users, and other multiple product users. A validated 16-item scale assessed TD across product users. RESULTS: People who used e-cigarettes exclusively at wave 1 had small increases in TD through wave 3. Wave 1 multiple product users' TD decreased across waves. TD for all other wave 1 user groups remained about the same. For wave 1 cigarette only smokers, switching to another product was associated with lower levels of TD than smokers whose use stayed the same. Movement to no established use of any tobacco product was consistently associated with lower TD for all product users. CONCLUSIONS: Except for wave 1 e-cigarette only users (who experienced small increases in TD), TD among U.S. tobacco product users was stable over time, with daily users less likely to vary from baseline. IMPLICATIONS: The level of TD among most U.S. tobacco users was stable over the first three waves of the PATH Study and trends in levels of TD were predominantly unrelated to changes in patterns of continued product use. Stable levels of TD suggest a population at persistent risk of health impacts from tobacco. Wave 1 e-cigarette users experienced small increases in levels of TD over time, perhaps due to increases in quantity or frequency of their e-cigarette use or increasing efficiency of nicotine delivery over time.

Design of the CHARGE study: A randomized control trial evaluating a novel treatment for Veterans with binge eating disorder and overweight and obesity.

A large number of Veterans experience binge eating and overweight or obesity, which are associated with significant health and psychological consequences. The gold-standard program for the treatment of binge eating, Cognitive Behavioral Therapy (CBT), results in decreases in binge eating frequency but does not result in significant weight loss. We developed the Regulation of Cues (ROC) program to reduce overeating and binge eating through improvement in sensitivity to appetitive cues and decreased responsivity to external cues, an approach that has never been tested among Veterans. In this study, we combined ROC with energy restriction recommendations from behavioral weight loss (ROC+). This study is a 2-arm randomized controlled trial designed to evaluate the feasibility and acceptability of ROC+, and to compare the efficacy of ROC+ and CBT on reduction of binge eating, weight, and energy intake over 5-months of treatment and 6-month follow-up. Study recruitment completed in March 2022. One hundred and twenty-nine Veterans were randomized (mean age = 47.10 (sd = 11.3) years; 41% female, mean BMI = 34.8 (sd = 4.7); 33% Hispanic) and assessments were conducted at baseline, during treatment and at post-treatment. The final 6-month follow-ups will be completed in April 2023. Targeting novel mechanisms including sensitivity to internal cures and responsivity to external cues is critically important to improve binge eating and weight-loss programs among Veterans. Clinicaltrials.govNCT03678766.

Indicators of Tobacco Dependence Among Youth: Findings From Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health Study.

BACKGROUND: Prior work established a measure of tobacco dependence (TD) among adults that can be used to compare TD across different tobacco products. We extend this approach to develop a common, cross-product metric for TD among youth. METHODS: One thousand one hundred and forty-eight youth aged 12-17 who used a tobacco product in the past 30 days were identified from 13 651 youth respondents in Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study. FINDINGS: Analyses confirmed a single primary latent construct underlying responses to TD indicators for all mutually exclusive tobacco product user groups. Differential Item Functioning analyses supported the use of 8 of 10 TD indicators for comparisons across groups. With TD levels anchored at 0.0 (standard deviation [SD] = 1.0) among cigarette only (n = 265) use group, mean TD scores were more than a full SD lower for e-cigarette only (n = 150) use group (mean = -1.09; SD = 0.64). Other single product use group (cigar, hookah, pipe, or smokeless; n = 262) on average had lower TD (mean = -0.60; SD = 0.84), and the group with the use of multiple tobacco products (n = 471) experienced similar levels of TD (mean = 0.14; SD = 0.78) as the cigarette only use group. Concurrent validity was established with product use frequency among all user groups. A subset of five TD items comprised a common metric permitting comparisons between youth and adults. CONCLUSION: The PATH Study Youth Wave 1 Interview provided psychometrically valid measures of TD that enable future regulatory investigations of TD across tobacco products and comparisons between youth and adult tobacco product use group. IMPLICATIONS: A measure of tobacco dependence (TD) has been established previously among adults to compare TD across tobacco products. This study established the validity of a similar, cross-product measure of TD among youth. Findings suggest a single latent TD construct underlying this measure, concurrent validity of the scale with product use frequency across different types of tobacco users, and a subset of common items that can be used to compare TD between youth and adults who use tobacco.

Discordance between assessments of food cue responsiveness: Implications for assessment in youth with overweight/obesity.

Food cue responsiveness (FCR), broadly defined as behavioral, cognitive, emotional and/or physiological responses to external appetitive cues outside of physiological need, contributes to overeating and obesity among youth and adults. A variety of measures purportedly assess this construct, ranging from youth- or parent-report surveys to objective eating tasks. However, little research has assessed their convergence. It is especially important to evaluate this in children with overweight/obesity (OW/OB), as reliable and valid assessments of FCR are essential to better understand the role of this critical mechanism in behavioral interventions. The present study examined the relationship between five measures of FCR in a sample of 111 children with OW/OB (mean age = 10.6, mean BMI percentile = 96.4; 70% female; 68% white; 23% Latinx). Assessments included: objectively measured eating in the absence of hunger (EAH), parasympathetic activity when exposed to food, parent reported food responsiveness subscale from the Child Eating Behavior Questionnaire (CEBQ-FR), child self-reported Power of Food total score (C-PFS), and child self-reported Food Cravings Questionnaire total score (FCQ-T). Statistically significant spearman correlations were found between EAH and CEBQ-FR (ρ = 0.19, p < 0.05) and parasympathetic reactivity to food cues with both C-PFS (ρ = -0.32, p = 0.002) and FCQ-T (ρ = -0.34, p < 0.001). No other associations were statistically significant. These relationships remained significant in subsequent linear regression models controlling for child age and gender. The lack of concordance between measures assessing highly conceptually related constructs is of concern. Future studies should seek to elucidate a clear operationalization of FCR, examine the associations between FCR assessments in children and adolescents with a range of weight statuses, and evaluate how to best revise these measures to accurately reflect the latent construct being assessed.

Differentiating Reasons for Young Adult E-cigarette Use Using Maximum Difference Choice Models.

INTRODUCTION: Understanding the reasons young adults use e-cigarettes (ie, vape)-and whether these motivations vary across groups-is essential for informing tobacco regulatory efforts. AIMS AND METHODS: An online panel of young adults who vape (n = 230; age = 18-30 years) completed a maximum difference discrete choice task for 15 reasons for vaping. Over 9 choice sets, participants were presented a subset of 5 reasons and selected the most and least important. Hierarchical bayesian analysis estimated the relative importance of each reason. Latent class analysis (LCA) identified groups with similarly ranked reasons for use. Multinomial regression evaluated the association between sample characteristics and class membership. RESULTS: Overall, relaxation had the highest probability of being the most important reason for use (14.8%), followed by harm reduction (13.2%), and flavors (10.3%). LCA identified five distinct classes, based on top reasons for use: 1. cessation (cigarette cessation [20.2%]; n = 80); 2. dependence (relaxation [20.5%] and unable to quit [19.2%]; n = 21); 3. relaxation (relaxation [20.6%]; n = 66); 4. socializing (socializing [22.2%]; n = 27); and 5. variable (boredom [10.5%] and acceptability [10.2%]; n = 36). Participants who were older, smoked cigarettes, or vaped more frequently were more likely to belong to the cessation class while those who were younger or more e-cigarette dependent were more likely to belong to the dependence class. CONCLUSIONS: Perceived reasons why young adults vape are highly heterogeneous and dependent on the type of user. Tobacco regulatory efforts targeting distinct types of vapers are needed to minimize the adverse public health impact of vaping without compromising appeal for smoking cessation. IMPLICATIONS: E-cigarette use remains high among young adults, with flavors, cost, and harm reduction (vs. combustible cigarettes) among the mostly commonly reported reasons for use. Yet, little is known about how relatively important these reasons are to the individual. Leveraging a maximum difference task, young adults' reasons for use were evaluated on a common interval scale and groups sharing similar reasons identified. Smoking cessation, dependence, relaxation, socialization, and boredom were respectively the most important reasons for use among five classes of vapers. E-cigarette regulatory policies should consider the distinct reasons for use as to not compromise their appeal for smoking cessation.

Effects of menthol use and transitions in use on short-term and long-term cessation from cigarettes among US smokers.

OBJECTIVES: To estimate the effect of menthol use and transitions in use (switching to or from menthol) on short-term and long-term cessation from cigarette smoking and whether this differed across demographic groups (age, sex, race). METHODS: We compared the probability of 30+ day and 12-month abstinence from cigarette smoking by menthol use status using two cohorts of US adult cigarette smokers who attempted to quit smoking in the Population Assessment of Tobacco and Health (wave 1 to wave 3 and wave 2 to wave 4; n=5759), inverse probability of treatment weighting and adjusted risk ratios (aRRs). RESULTS: Using menthol (vs non-menthol) prior to a quit attempt decreased the probability of 30+ day abstinence by 28% (aRR=0.78; 95% CI 0.67 to 0.91) and the probability of 12-month abstinence by 53% (aRR=0.65; 95% CI 0.47 to 0.88). Additionally, switching from menthol (vs maintaining menthol use) increased the probability of 30+ day abstinence by 58% (aRR=1.58; 95% CI 1.00 to 2.50) and the probability of 12-month abstinence by 97% (aRR=1.86; 95% CI 0.92 to 3.74). Switching to menthol (vs maintaining non-menthol use) was associated with a lower probability of 30+ day (aRR=0.70; 95% CI 0.42 to 1.16) and 12-month abstinence (aRR=0.64; 95% CI 0.30 to 1.36), but these associations were imprecise. The effects of menthol use on impaired quitting were slightly larger for non-Hispanic Black smokers, but not different for other demographic groups. CONCLUSION: These results demonstrate that menthol impaired menthol smokers' attempts to quit smoking but switching from menthol improved success. This suggests that removing menthol may improve menthol smokers' success during quit attempts.

RETRACTED: Changes in Tobacco Dependence and Association With Onset and Progression of Use by Product Type From Wave 1 to Wave 3 of the Population Assessment of Tobacco and Health (PATH) Study.

INTRODUCTION: This study examined trajectories of tobacco dependence (TD) in relation to changes in tobacco product use and explored the effects of product-specific adding, switching, or discontinued use on dependence over time. AIMS AND METHODS: Data were analyzed from the first three waves of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative, longitudinal study of adults and youth in the United States. Data included 9556 Wave 1 (2013/2014) adult current established tobacco users who completed all three interviews and had established use at ≥2 assessments. Groups included cigarettes-only users, e-cigarettes-only users, cigars-only users, hookah-only users, any smokeless-only users, cigarette + e-cigarette dual users, and multiple product users. A validated 16-item scale assessed TD across product users. RESULTS: Wave 1 e-cigarette-only users' who maintained exclusive e-cigarette use increased levels of TD through Wave 3 as did those who added or switched to another product. Wave 1 multiple product users' TD decreased across waves. TD for all other Wave 1 user groups remained about the same. For Wave 1 cigarette-only smokers, switching to another product or moving to a pattern of no established use was associated with lower levels of TD than smokers whose use stayed the same. Movement to no established use of any tobacco product was consistently associated with lower TD for all other product users. CONCLUSIONS: Except for Wave 1 e-cigarette-only users, TD among US tobacco product users was stable over time, with daily users less likely to vary from baseline. IMPLICATIONS: The level of TD among most US tobacco users was stable over the first three waves of the PATH Study and trends in levels of TD were predominantly unrelated to changes in patterns of continued product use. Stable levels of TD suggest a population at persistent risk of health impacts from tobacco. Wave 1 e-cigarette users, including those maintaining exclusive e-cigarette use, experienced increasing levels of TD over time, perhaps because of increases in quantity or frequency of their e-cigarette product use or increasing efficiency of nicotine delivery over time.

Effectiveness of e-cigarettes as aids for smoking cessation: evidence from the PATH Study cohort, 2017-2019.

OBJECTIVE: To assess the effectiveness of e-cigarettes in smoking cessation in the USA from 2017 to 2019, given the 2017 increase in high nicotine e-cigarette sales. METHODS: In 2017, the PATH Cohort Study included data on 3578 previous year smokers with a recent quit attempt and 1323 recent former smokers. Respondents reported e-cigarettes or other products used to quit cigarettes and many covariates associated with e-cigarette use. Study outcomes were 12+ months of cigarette abstinence and tobacco abstinence in 2019. We report weighted unadjusted estimates and use propensity score matched analyses with 1500 bootstrap samples to estimate adjusted risk differences (aRD). RESULTS: In 2017, 12.6% (95% CI 11.3% to 13.9%) of recent quit attempters used e-cigarettes to help with their quit attempt, a decline from previous years. Cigarette abstinence for e-cigarette users (9.9%, 95% CI 6.6% to 13.2%) was lower than for no product use (18.6%, 95% CI 16.0% to 21.2%), and the aRD for e-cigarettes versus pharmaceutical aids was -7.3% (95% CI -14.4 to -0.4) and for e-cigarettes versus any other method was -7.7% (95% CI -12.2 to -3.2). Only 2.2% (95% CI 0.0% to 4.4%) of recent former smokers switched to a high nicotine e-cigarette. Subjects who switched to e-cigarettes appeared to have a higher relapse rate than those who did not switch to e-cigarettes or other tobacco, although the difference was not statistically significant. CONCLUSIONS: Sales increases in high nicotine e-cigarettes in 2017 did not translate to more smokers using these e-cigarettes to quit smoking. On average, using e-cigarettes for cessation in 2017 did not improve successful quitting or prevent relapse.

Adults with overweight or obesity use less efficient memory strategies compared to adults with healthy weight on a verbal list learning task modified with food words.

Several studies suggest poorer episodic memory among adults with overweight (OW) relative to those with healthy weight (HW); however, few have used food stimuli. To understand the salience of food-related items when assessing memory, we adapted an episodic memory task, by replacing some non-food words with snack foods. Participants were 96 weight-loss seeking adults with OW compared to 48 adults with HW from the community matched on age, gender, ethnicity, and education. Overall memory ability was similar, although a trend showed the adults with HW performed better than adults with OW on immediate recall (d = 0.32, p = 0.07). However, there were clear differences in the use of learning strategies. Adults with HW utilized sematic clustering more effectively than adults with OW during all test phases (ds = 0.44-0.62; ps ≤ 0.01). Adults with HW also utilized serial clustering more effectively (d = 0.51; p < 0.01). Adults with HW showed better semantic clustering for both food and non-food words during immediate and short delay recall (ds = 0.42-0.78; ps ≤ 0.01) but semantic clustering was only better for the non-food category at long delay (d = 0.55; p < 0.01). These results show that adults with OW utilized less efficient learning strategies throughout the task and food-related content may impact learning. Clinically, these findings may suggest that weight-loss treatments should consider incorporating the teaching of learning and memory strategies to help increase utilization of new skills.

Psychometric properties of the Eating in the Absence of Hunger Questionnaire in treatment-seeking adults with overweight and obesity.

Understanding eating behaviors that contribute to overweight and obesity (OW/OB) is an important public health objective. One eating behavior known to contribute to overeating is eating in the absence of hunger (EAH). The Eating in the Absence of Hunger Questionnaire for Children was developed to assess external events and internal experiences that lead children to overeat. Despite the measure's adaptation for use with adults (i.e., EAH-A), its psychometric properties within this population have not been explored. This study assessed the psychometric properties of the EAH-A in sample of 311 treatment-seeking adults with OW/OB (mean BMI = 34.5 [5.1]; mean age = 46.3 [12.1]; 81.7% female; 20.6% Latinx, 59.2% white). The EAH-A contains 14 items and assesses three domains: negative affect eating (EAH-NAE), external eating, and fatigue/boredom eating, through two parallel sets of items assessing initiating EAH and continuing EAH. Exploratory Factor Analysis was performed with promax rotation and maximum likelihood factor extraction. Results supported a unitary factor of EAH, with scale responses driven by EAH-NAE items. Results may be explained in part by scale structure and domain imbalance favoring EAH-NAE items, or the true internal structure of EAH may consist of a singular latent construct. Follow-up analyses indicated redundancy of the scale's parallel sections. If researchers are primarily interested in EAH-NAE, only the three "start eating" or "keep eating" items may be needed. This study highlights the importance of validating the psychometric properties of a measure within intended populations to ensure interpretations are valid.

Development and validation of the food cue responsivity scale.

Food cues are ubiquitous in today's environment; however, there is heterogeneity as to the extent to which these cues impact eating behavior among individuals. This study examines the validity and reliability of the Food Cue Responsivity Scale (FCRS) to assess responsivity to distinct types of food cues. Items gathered from existing measures were combined in the FCRS to reflect two subdomains, uncontrolled eating behavior and cognitive rumination. The criterion validity of the FCRS was established using a paradigm that assesses psychophysiological responsivity to a craved food among adults with overweight or obesity. Higher overall FCRS scores were associated with greater physiological responsivity to food exposures. These findings may help identify specific phenotypes of individuals with overweight or obesity with high responsivity to food cues, which could be used to understand overeating and response to weight-loss programs.