Advertising Exposure From Online and Offline Sources and Youth Tobacco Use: Findings From the Adolescents, Place, and Behavior Study.

INTRODUCTION: Tobacco use among adolescents is an ongoing public health concern. Youth tobacco use has been associated with advertising, from both online sources and retail environments. AIMS AND METHODS: This study examined associations between exposure to tobacco advertisements from tobacco retail outlets (TROs), internet, and social media sources and ever tobacco use among adolescents. Data were obtained from youth, aged 11-17 years (N = 401) from Richmond, VA. Bayesian index and group index models were fitted to estimate indices of exposure to (1) social media use, (2) tobacco ads on social media, and (3) TRO store visits and their association with ever tobacco use. The most important components of the exposure indices were also determined based on the index component weights from the Bayesian index models. RESULTS: In Bayesian index models of single exposures, each exposure index was significantly associated with tobacco use. In the best-fitting model, social media tobacco ads (odds ratio [OR] = 2.2; 95% credible interval [CI]: 1.2, 4.5) and TRO store visits (OR = 1.6; 95% CI: 1.1, 2.3) were significantly associated with ever tobacco use, as was older age (OR = 1.4; 95% CI: 1.2, 1.8). Index component weights revealed Snapchat ad frequency as the most important platform in the social media index and convenience stores as the most important type of store in the TRO index. CONCLUSIONS: Exposure to pro-tobacco advertisements on social media and visits to TROs are associated with adolescent ever tobacco use. Results provide support for policies that would restrict the promotion of tobacco products at TROs and on social media. Tobacco regulations and interventions targeting convenience stores and Snapchat may be warranted to reduce youth tobacco use. IMPLICATIONS: Current evidence provide support for policies that would restrict the promotion of tobacco products at TROs and on social media. Findings suggest that regulations and interventions that specifically target advertisements in convenience stores and on Snapchat may be currently warranted to reduce youth tobacco use.

Motivational Interviewing Education in North American Family Medicine Clerkships: A CERA Study.

BACKGROUND AND OBJECTIVES: Many health conditions are preventable or modifiable through behavioral changes. Motivational interviewing (MI) is an evidence-based communication technique that explores a patient's reasons for behavioral changes. This study assesses the current landscape of MI training in North American Family Medicine (FM) clerkships. METHODS: We analyzed data gathered as part of the 2022 Council of Academic Family Medicine's Educational Research Alliance (CERA) survey of FM clerkship directors (CDs). The survey was distributed via email invitation to 159 US and Canadian FM CDs in June 2022. RESULTS: Of the 94 responses received, 61% indicated that MI training is provided in their FM clerkship. Medical school type, class size, and location were associated with MI training priority, offerings, and duration in the clerkship, respectively. CD experience correlated with MI training duration; student MI skill training level was associated with MI training duration and priority; the rigor of student MI skills evaluation was correlated with MI teaching methods and training duration; self-reported student MI competency was associated with the length of time students spent with FM community preceptors as well as MI training priority and teaching methods; and several items emerged as predictors of student, CD, and FM faculty MI training expansion. CONCLUSIONS: Opportunities exist to enhance the volume, content, and rigor of MI training in North American FM clerkships as well as to improve self-reported student MI competency within those clerkships.

The Impact of the COVID-19 Pandemic on Tobacco Treatment Program Implementation at National Cancer Institute-Designated Cancer Centers.

INTRODUCTION: The COVID-19 pandemic disrupted cancer screening and treatment delivery, but COVID-19's impact on tobacco cessation treatment for cancer patients who smoke has not been widely explored. AIMS AND METHODS: We conducted a sequential cross-sectional analysis of data collected from 34 National Cancer Institute (NCI)-designated cancer centers participating in NCI's Cancer Center Cessation Initiative (C3I), across three reporting periods: one prior to COVID-19 (January-June 2019) and two during the pandemic (January-June 2020, January-June 2021). Using McNemar's Test of Homogeneity, we assessed changes in services offered and implementation activities over time. RESULTS: The proportion of centers offering remote treatment services increased each year for Quitline referrals (56%, 68%, and 91%; p = .000), telephone counseling (59%, 79%, and 94%; p = .002), and referrals to Smokefree TXT (27%, 47%, and 56%; p = .006). Centers offering video-based counseling increased from 2020 to 2021 (18% to 59%; p = .006), Fewer than 10% of centers reported laying off tobacco treatment staff. Compared to early 2020, in 2021 C3I centers reported improvements in their ability to maintain staff and clinician morale, refer to external treatment services, train providers to deliver tobacco treatment, and modify clinical workflows. CONCLUSIONS: The COVID-19 pandemic necessitated a rapid transition to new telehealth program delivery of tobacco treatment for patients with cancer. C3I cancer centers adjusted rapidly to challenges presented by the pandemic, with improvements reported in staff morale and ability to train providers, refer patients to tobacco treatment, and modify clinical workflows. These factors enabled C3I centers to sustain evidence-based tobacco treatment implementation during and beyond the COVID-19 pandemic. IMPLICATIONS: This work describes how NCI-designated cancer centers participating in the Cancer Center Cessation Initiative (C3I) adapted to challenges to sustain evidence-based tobacco use treatment programs during the COVID-19 pandemic. This work offers a model for resilience and rapid transition to remote tobacco treatment services delivery and proposes a policy and research agenda for telehealth services as an approach to sustaining evidence-based tobacco treatment programs.

Evaluation of neighborhood deprivation and store characteristics in relation to tobacco retail outlet sales violations.

INTRODUCTION: Regulations of the sale of tobacco products to minors have been effective at reducing adolescent tobacco use overall. However, these efforts may not be uniformly enforced in all areas, creating uneven protection against adolescent smoking. Knowledge regarding factors associated with tobacco retail outlet (TRO) violations could help inform better enforcement strategies. METHODS: In this study, we used Bayesian index regression models to determine if tobacco sales to minors violations across Virginia (2012-2021) were related to store characteristics and neighborhood deprivation and identify geographic areas at significantly elevated risk for violations after adjusting for these factors. RESULTS: Results show that there were multiple factors associated with a higher likelihood of tobacco sales violations. Store type was an important factor, as grocery stores and pharmacies had significantly lowered likelihood of violations compared with convenience stores. Being located near another TRO was significantly associated with increased risk of sales to a minor. Neighborhood deprivation was also positively associated with TRO sales violations. Further, there were statistically higher likelihood of sales violations occurring in specific areas (e.g., southwest and southeast) of the state that were not explained by neighborhood deprivation and store attributes. CONCLUSIONS: Together, results highlight the need to better understand where and why TRO sales violations are occurring in order to improve efforts aimed at monitoring and remediating TRO sales violations.

An examination of social and environmental determinants of secondhand smoke exposure among non-smoking adolescents.

INTRODUCTION: Adolescents are at increased risk of secondhand smoke exposure (SHS) due to the limited control that they have over social and physical environments. Yet, knowledge regarding determinants of SHS among non-smoking adolescents is limited. This study identifies social and environmental factors associated with SHS among non-smoking adolescents. METHODS: To be included, parents and adolescents (aged 11-17 years) of the Adolescents, Place, and Behavior Study had to have completed surveys between March 2019 and May 2020. Adolescents had to have not reported smoking within the past 30 days and provided a saliva sample assayed for cotinine (≤3 ng/mL). A series of stepwise linear regression models were fit to the data to identify social and environmental determinants of SHS, using log-transformed salivary cotinine. RESULTS: Of the 105 adolescent and parent dyads included, 90.3% were African American, 26.9% of parents reported smoking, 33.3% resided in multi-unit housing, and 67.7% lived in homes where smoking was not permitted. Significant associations were found between parent tobacco use (ß=2.56, SE=0.98, p=0.0082) and residing in multi-unit housing (ß=1.72, SE=0.86, p=0.0460) with increased log-transformed cotinine levels among non-smoking adolescents. Adolescent age, gender, and race/ ethnicity, parental education, peer tobacco use, the number of adults and children in the home, average number of days of self-reported SHS within public spaces outside of the home, and home smoking policies were not significantly associated with cotinine. CONCLUSIONS: Results emphasize the importance of reducing secondhand smoke exposure by reducing parental smoking and altering exposures within social and home environments. Parental tobacco use and residential setting should be considered when developing interventions to reduce secondhand smoke exposure among non-smoking adolescents.

Vape Shop Owners/Managers' Opinions About FDA Regulation of E-Cigarettes.

INTRODUCTION: In the United States, prominent sources of vaping products are specialty vape shops, which are subject to Food and Drug Administration (FDA) regulation. This study interviewed vape shop owners/managers to assess: (1) reasons for entering into or engaging in vape shop retail; (2) personnel training, particularly with regard to FDA and state regulations; and (3) how existing regulations are perceived and the anticipated impact of future regulation. AIMS AND METHODS: The current study involved phone-based semi-structured interviews of 45 vape shop owners/managers in six metropolitan statistical areas (Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, and Seattle) during Summer 2018 as FDA regulations regarding minimum age verification, bans on product sampling, and health warnings (among others) were first being implemented. RESULTS: Vape shop owners/managers reported: (1) entering the industry with positive intentions for their customers, (2) training their personnel to adhere to regulations and provide good customer service, and (3) significant concerns about the impact of FDA regulations. With regard to the latter, participants reported mistrust of the intentions of the FDA regulations, financial implications of the regulations (particularly for small businesses), difficulty understanding and interpreting the regulations, insufficient evidence to support the regulations, negative impact on customer service, negative impact on product offerings and product innovation/advancement, and negative implications of flavor bans and/or restrictions on sale of flavors. CONCLUSIONS: These findings indicate the complexities in implementing tobacco regulations, particularly from the perspective of the vape shop industry. Current findings should inform future regulatory actions and efforts to assess compliance with regulations. IMPLICATIONS: Current and impending FDA regulation of vaping products present a critical period for examining regulatory impact on the vape shop industry. Current results indicated that many vape shop owners/managers reporting positive intentions for engaging in the vaping product industry and in training vape shop personnel to adhere to regulations. However, the majority reported concerns about FDA regulation and other state/local regulations that could have negative implications for their industry. Particular concerns include difficulty understanding the regulations due to complexity, vagueness, and changes in language and/or interpretation over time. These issues have implications for compliance that must be addressed.

Exploring the Point-of-Sale Among Vape Shops Across the United States: Audits Integrating a Mystery Shopper Approach.

INTRODUCTION: Vape shops represent prominent, unique retailers, subject to Food and Drug Administration (FDA) regulation in the United States. AIMS AND METHODS: This study assessed compliance of US vape shop retail marketing strategies with new regulations (eg, required age verification, prohibited free samples) and pre-implementation conditions for other regulations (eg, health warning labels on all nicotine products, required disclosures of e-liquid contents). RESULTS: 95.0% of shops displayed minimum-age signage; however, mystery shoppers were asked for age verification at 35.6% upon entry and at 23.4% upon purchase. Although 85.5% of shops had some evidence of implementing FDA health warnings, 29.1% had signage indicating prohibited health claims, 16.3% offered free e-liquid samples, 27.4% had signage with cartoon imagery, and 33.3% were within two blocks of schools. All shops sold open-system devices, 64.8% sold closed-system devices, 68.2% sold their own brand of e-liquids, 42.5% sold e-liquids containing cannabidiol, 83.2% offered price promotions of some kind, and 89.9% had signage for product and price promotions. CONCLUSIONS: Results indicated that most shops complied with some implementation of FDA health warnings and with free sampling bans and minimum-age signage. Other findings indicated concerns related to underage access, health claims, promotional strategies, and cannabidiol product offerings, which call for further FDA and state regulatory/enforcement efforts.

Vape shop owners'/managers' attitudes about CBD, THC, and marijuana legal markets.

Over the past decade in the US there have been marked pivotal changes in the policy and retail environment regarding cannabinoids, particularly cannabidiol (CBD) and delta-9-tetrahydrocannabinol (THC). Many vape shops may carry products relevant to these two markets. This study interviewed vape shop owners/managers to assess their perceptions of consumer interests/behaviors regarding CBD and THC and of the impact of legalized marijuana retail on vape shops. The current study involved phone-based semi-structured interviews of 45 vape shop owners/managers in six metropolitan statistical areas (MSAs; Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, and Seattle) during Summer 2018. Overall, 82.2% of participants were male, 77.8% were non-Hispanic White, 64.4% were managers, 8.9% reported past 30-day smoking, and 95.6% reported past 30-day vaping. Overall, 44.4% sold e-liquids containing CBD. Vape shop owners/managers indicated minimal perceived risk and some beliefs in therapeutic benefits of CBD products; however, there was a broader range of perspectives regarding marijuana retail and selling marijuana for recreational use. Some chose to distance themselves from marijuana products, their use, and the possibility of entering marijuana retail if it were to evolve in their state, while some indicated high levels of enthusiasm for the growing retail marijuana market. Future research should examine how vape shops and other retailers of CBD and marijuana communicate with consumers about products and modes of using such products, as well as how various industry sectors (e.g., vape shops) adapt or evolve with increasing regulation of nicotine and increasing legalization of marijuana retail.

Neighborhood Disadvantage and Tobacco Retail Outlet and Vape Shop Outlet Rates.

Neighborhood-level socioeconomic variables, such as the proportion of minority and low-income residents, have been associated with a greater density of tobacco retail outlets (TROs), though less is known about the degree to which these neighborhood indicators are related to vape shop outlet (VSO) density. Many studies of TROs and neighborhood characteristics include only a small set of variables and also fail to take into account the correlation among these variables. Using a carefully curated database of all TROs and VSOs in Virginia (2016-2018), we developed a Bayesian model to estimate a neighborhood disadvantage index and examine its association with rates of outlets across census tracts while also accounting for correlations among variables. Models included 12 census tract variables from the American Community Survey. Results showed that increasing neighborhood disadvantage was associated with a 63% and 64% increase in TRO and VSO risk, respectively. Important variables associated with TRO rates included % renter occupied housing, inverse median gross rent, inverse median monthly housing costs, inverse median monthly housing costs, and % vacant housing units. Important variables associated with VSO rates were % renter occupied housing and % Hispanic population. There were several spatial clusters of significantly elevated risk for TROs and VSOs in western and eastern Virginia.

Determinants of Youth-Reported Past 30-Day Tobacco Use.

The objective of this study was to utilize cross-sectional surveys to identify factors associated with past 30-day tobacco use among a sample youth and to determine whether regional differences exist. Data were obtained from the Virginia Youth Survey (2015 and 2017). Multinomial logistic regression models were used to examine associations between measures of past 30-day tobacco use and region, sex, grade, race/ethnicity, tobacco advertisement exposure, and presence of tobacco-free policies in the home and personal vehicles. These correlates were selected based upon existing literature on youth tobacco use. Past 30-day cigarette use, combustible tobacco use, non-combustible tobacco use, and dual product use were associated with region, sex, grade, and race/ethnicity. Specifically, youth residing in the Southwestern region of the state, males, and non-Hispanic White students and youth of other race/ethnicity were more likely to report past 30-day tobacco use. Additionally, higher levels of exposure to tobacco advertisements was also associated with past 30-day tobacco use. Future research needs to investigate the mechanisms by which youth tobacco use may differ by region, to help guide and target future policy and programming related to tobacco prevention and control at the local level.

Longitudinal Analysis of Associations Between Reasons for Electronic Cigarette Use and Change in Smoking Status Among Adults in the Population Assessment of Tobacco and Health Study.

INTRODUCTION: Electronic cigarette (ECIG) use and changes in cigarette smoking status may be influenced by self-reported reasons for using ECIGs. METHODS: We analyzed adult current and former cigarette smokers who were also current or former ECIG users at wave 1 (n = 3044) using wave 1 and wave 2 Population Assessment of Tobacco and Health Study data (2013-2015). Prevalence of reporting 13 reasons for ECIG use at wave 1 was examined and weighted logistic regressions were conducted predicting smoking status changes from wave 1 to wave 2. RESULTS: Reasons for ECIG use ranged from 18.1% (people in the media or public figures use them) to 82.5% (they might be less harmful to people around me than cigarettes). From wave 1 to wave 2, 27.2% of former smokers (n = 249) became current smokers and 11.6% of current smokers (n = 246) became former smokers. Among wave 1 former smokers, using ECIGs because of the availability of flavors (AOR = 0.57, 95% CI = 0.39-0.85) or because they don't smell (AOR = 0.64, 95% CI = 0.42-0.97) was associated with lower odds of relapse to smoking, but using ECIGs because using them helps people quit smoking (AOR = 1.55, 95% CI = 1.01-2.38) was associated with greater odds of relapse. Among wave 1 current smokers, using ECIGs because they can be used where smoking is not allowed (AOR = 0.56, 95% CI = 0.38-0.85) was associated with reduced odds of quitting cigarettes. CONCLUSIONS: Some reasons for ECIG use are associated with changes in self-reported smoking status. Researchers should examine ECIG user characteristics when assessing associations between ECIG use and smoking status transitions. IMPLICATIONS: Given that certain reasons for ECIG use, such as using ECIGs in locations are where smoking is not allowed, may inhibit smoking reduction, policies may be developed to prevent ECIG use in locations where smoking is banned. In addition, because certain reasons for ECIG use may aid in relapse prevention, such as availability of desired flavors, efforts should be made to identify ECIG device characteristics that are appealing to smokers but not youth or nontobacco users. These results provide support for future research on reasons for ECIG use to inform regulatory policies.

Associations between Religiosity, Spirituality, and Happiness among Adults Living with Neurological Illness.

The study examined the associations between religiosity, spirituality, and happiness in 354 outpatients suffering from neurological disorders. After accounting for severity of cognitive decline, physical activity level, depression severity, and demographic variables (i.e., subject age, sex, ethnicity, and marital status) multivariate linear regression revealed a unique association between the Spiritual Well-Being Existential Spirituality scale (SWBS ES), and not the SWBS Religious Scale (SWBS RS), with both the Pemberton Remembered Happiness Index (PHI R) (p < 0.001), and the Pemberton Experienced Happiness Index (PHI E) (p < 0.001). Interventions focused on existential spirituality may improve health related quality of life among adult medical patients with neurological illness.

Design and rationale of the medical students learning weight management counseling skills (MSWeight) group randomized controlled trial.

Physicians have an important role addressing the obesity epidemic. Lack of adequate teaching to provide weight management counseling (WMC) is cited as a reason for limited treatment. National guidelines have not been translated into an evidence-supported, competency-based curriculum in medical schools. Weight Management Counseling in Medical Schools: A Randomized Controlled Trial (MSWeight) is designed to determine if a multi-modal theoretically-guided WMC educational intervention improves observed counseling skills and secondarily improve perceived skills and self-efficacy among medical students compared to traditional education (TE). Eight U.S. medical schools were pair-matched and randomized in a group randomized controlled trial to evaluate whether a multi-modal education (MME) intervention compared to traditional education (TE) improves observed WMC skills. The MME intervention includes innovative components in years 1-3: a structured web-course; a role play exercise, WebPatientEncounter, and an enhanced outpatient internal medicine or family medicine clerkship. This evidence-supported curriculum uses the 5As framework to guide treatment and incorporates patient-centered counseling to engage the patient. The primary outcome is a comparison of scores on an Objective Structured Clinical Examination (OSCE) WMC case among third year medical students. The secondary outcome compares changes in scores of medical students from their first to third year on an assessment of perceived WMC skills and self-efficacy. MSWeight is the first RCT in medical schools to evaluate whether interventions integrated into the curriculum improve medical students' WMC skills. If this educational approach for teaching WMC is effective, feasible and acceptable it can affect how medical schools integrate WMC teaching into their curriculum.

Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps.

Commercial mobile apps for health behavior change are flourishing in the marketplace, but little evidence exists to support their use. This paper summarizes methods for evaluating the content, usability, and efficacy of commercially available health apps. Content analyses can be used to compare app features with clinical guidelines, evidence-based protocols, and behavior change techniques. Usability testing can establish how well an app functions and serves its intended purpose for a target population. Observational studies can explore the association between use and clinical and behavioral outcomes. Finally, efficacy testing can establish whether a commercial app impacts an outcome of interest via a variety of study designs, including randomized trials, multiphase optimization studies, and N-of-1 studies. Evidence in all these forms would increase adoption of commercial apps in clinical practice, inform the development of the next generation of apps, and ultimately increase the impact of commercial apps.

Comparison of Dietary Quality Assessment Using Food Frequency Questionnaire and 24-hour-recalls in Older Men and Women.

OBJECTIVES: To examine the agreement in nutrient intake and alternative healthy eating indices (AHEI) between a self-administered Food Frequency Questionnaire (FFQ) and 24-hour recall (24HR) measurements of diet by gender, among older adults. MATERIAL AND METHODS: This is a cross-sectional observational study of 105 men and 99 women aged 65 and older living in urban and rural neighborhoods in Worcester County, Massachusetts, USA. Participants were queried on diet using both FFQ and 24HR. The healthy eating classification was compared between the two instruments by gender. RESULTS: For men, the mean ± SD of AHEI total score was 48.2 ± 12.3 based on FFQ versus 34.7 ± 10.2 based on 24HR. For women, the mean ± SD was 47.9 ± 10.1 based on FFQ versus 36.1 ± 10.0 based on 24HR. Using 32 as the cutoff (40% of maximum AHEI score), 9% of men and 7% of women were classified as eating unhealthy based on the FFQ, versus 47% of men and 38% of women based on 24HR. Compared to women, men had larger 24HR to FFQ discrepancies in the nuts and vegetable protein subscore and white/red meat ratio, and smaller discrepancy in alcohol beverages subscore. CONCLUSION: Agreements between FFQ and 24HR-based measures of diet quality were roughly comparable between men and women, though slightly better for women than men. Compared to 24HR, the FFQ tended to underestimate the proportions of older men and women classified as eating unhealthy and misclassified more men than women. Such limitations should be considered when the FFQ is used to study healthy eating in older age.

Teaching Medical Students to Help Patients Quit Smoking: Outcomes of a 10-School Randomized Controlled Trial.

BACKGROUND: Early in medical education, physicians must develop competencies needed for tobacco dependence treatment. OBJECTIVE: To assess the effect of a multi-modal tobacco dependence treatment curriculum on medical students' counseling skills. DESIGN: A group-randomized controlled trial (2010-2014) included ten U.S. medical schools that were randomized to receive either multi-modal tobacco treatment education (MME) or traditional tobacco treatment education (TE). SETTING/PARTICIPANTS: Students from the classes of 2012 and 2014 at ten medical schools participated. Students from the class of 2012 (N = 1345) completed objective structured clinical examinations (OSCEs), and 50 % (N = 660) were randomly selected for pre-intervention evaluation. A total of 72.9 % of eligible students (N = 1096) from the class of 2014 completed an OSCE and 69.7 % (N = 1047) completed pre and post surveys. INTERVENTIONS: The MME included a Web-based course, a role-play classroom demonstration, and a clerkship booster session. Clerkship preceptors in MME schools participated in an academic detailing module and were encouraged to be role models for third-year students. MEASUREMENTS: The primary outcome was student tobacco treatment skills using the 5As measured by an objective structured clinical examination (OSCE) scored on a 33-item behavior checklist. Secondary outcomes were student self-reported skills for performing 5As and pharmacotherapy counseling. RESULTS: Although the difference was not statistically significant, MME students completed more tobacco counseling behaviors on the OSCE checklist (mean 8.7 [SE 0.6] vs. mean 8.0 [SE 0.6], p = 0.52) than TE students. Several of the individual Assist and Arrange items were significantly more likely to have been completed by MME students, including suggesting behavioral strategies (11.8 % vs. 4.5 %, p < 0.001) and providing information regarding quitline (21.0 % vs. 3.8 %, p < 0.001). MME students reported higher self-efficacy for Assist, Arrange, and Pharmacotherapy counseling items (ps ≤0.05). LIMITATIONS: Inclusion of only ten schools limits generalizability. CONCLUSIONS: Subsequent interventions should incorporate lessons learned from this first randomized controlled trial of a multi-modal longitudinal tobacco treatment curriculum in multiple U.S. medical schools. NIH Trial Registry Number: NCT01905618.

Twitter-Delivered Behavioral Weight-Loss Interventions: A Pilot Series.

BACKGROUND: Lifestyle interventions are efficacious at reducing risk for diabetes and cardiovascular disease but have not had a significant public health impact given high cost and patient and provider burden. OBJECTIVE: Online social networks may reduce the burden of lifestyle interventions to the extent that they displace in-person visits and may enhance opportunities for social support for weight loss. METHODS: We conducted an iterative series of pilot studies to evaluate the feasibility and acceptability of using online social networks to deliver a lifestyle intervention. RESULTS: In Study 1 (n=10), obese participants with depression received lifestyle counseling via 12 weekly group visits and a private group formed using the online social network, Twitter. Mean weight loss was 2.3 pounds (SD 7.7; range -19.2 to 8.2) or 1.2% (SD 3.6) of baseline weight. A total of 67% (6/9) of participants completing exit interviews found the support of the Twitter group at least somewhat useful. In Study 2 (n=11), participants were not depressed and were required to be regular users of social media. Participants lost, on average, 5.6 pounds (SD 6.3; range -15 to 0) or 3.0% (SD 3.4) of baseline weight, and 100% (9/9) completing exit interviews found the support of the Twitter group at least somewhat useful. To explore the feasibility of eliminating in-person visits, in Study 3 (n=12), we delivered a 12-week lifestyle intervention almost entirely via Twitter by limiting the number of group visits to one, while using the same inclusion criteria as that used in Study 2. Participants lost, on average, 5.4 pounds (SD 6.4; range -14.2 to 3.9) or 3.0% (SD 3.1) of baseline weight, and 90% (9/10) completing exit interviews found the support of the Twitter group at least somewhat useful. Findings revealed that a private Twitter weight-loss group was both feasible and acceptable for many patients, particularly among regular users of social media. CONCLUSIONS: Future research should evaluate the efficacy and cost-effectiveness of online social network-delivered lifestyle interventions relative to traditional modalities.

Assessing Medical Students' Tobacco Dependence Treatment Skills Using a Detailed Behavioral Checklist.

UNLABELLED: CONSTRUCT: This article describes the development and implementation of an assessment intended to provide objective scores that would be valid indications of medical students' abilities to counsel patients about tobacco dependence. BACKGROUND: Assessing medical students' advanced communication skills, particularly in the context of providing tobacco-dependence treatment, consistently and accurately is challenging; doing so across multiple medical schools is even more difficult. APPROACH: Ten medical schools implemented a tobacco-dependence treatment case as part of an Objective Structured Clinical Examination for 3rd-year medical students. A 33-item checklist with detailed criteria and examples was developed for scoring students' performances. Trained coders viewed and coded 660 videotaped encounters; approximately 10% also were coded by the coding supervisor to check accuracy. RESULTS: Average time required to code an encounter was approximately 31 minutes; accuracy (i.e., agreement with the gold standard coder) was excellent. Overall, students performed an average of 1 in 4 of the 33 behaviors included on the checklist, and only 1 in 10 discussed setting a quit date. Most students (almost 9 in 10) asked how much the patient smoked in a day, and just over 7 in 10 informed the patient that the cough was due to smoking. CONCLUSIONS: The authors developed and implemented a rigorous assessment that will be used to evaluate medical students' tobacco-dependence treatment skills. Operationalizing the specific counseling behaviors, training coders to accurately capture students' performances using a structured checklist, and conducting the coding all required substantial time commitments but will provide confidence in the objectivity of the assessment results. In addition, this assessment can be used to provide formative information on medical students' tobacco-dependence treatment skills and to tailor ongoing training for medical students in this area.

Tobacco counseling experience prior to starting medical school, tobacco treatment self-efficacy and knowledge among first-year medical students in the United States.

OBJECTIVE: To explore students' tobacco dependence counseling experiences prior to medical school and their associations with tobacco counseling self-efficacy, and familiarity with and perceived effectiveness of tobacco dependence treatment among first-year medical students in the United States. METHOD: In 2010, 1266 first-year medical students from 10 US medical schools completed a survey reporting their clinical experiences with specific tobacco counseling skills (e.g., 5As) prior to medical school. The survey also included questions on tobacco counseling self-efficacy, perceived physician impact on smokers, and familiarity and effectiveness of tobacco-related treatments. RESULTS: Half (50.4%) reported some tobacco counseling experiences prior to medical school (i.e. at least one 5A). Students with prior counseling experiences were more likely to have higher tobacco counseling self-efficacy, and greater familiarity with medication treatment, nicotine replacement treatment, and behavioral counseling for smoking cessation, compared to those with no prior experiences. Perceived physician impact on patient smoking outcomes did not differ by prior tobacco counseling experiences. CONCLUSIONS: Many first-year medical students may already be primed to learn tobacco dependence counseling skills. Enhancing early exposure to learning these skills in medical school is likely to be beneficial to the skillset of our future physicians.

Medical school curriculum characteristics associated with intentions and frequency of tobacco dependence treatment among 3rd year U.S. medical students.

OBJECTIVE: Physicians play a critical role in addressing tobacco dependence, yet report limited training. Tobacco dependence treatment curricula for medical students could improve performance in this area. This study identified student and medical school tobacco treatment curricula characteristics associated with intentions and use of the 5As for tobacco treatment among 3rd year U.S. medical students. METHODS: Third year medical students (N=1065, 49.3% male) from 10 U.S. medical schools completed a survey in 2009-2010 assessing student characteristics, including demographics, tobacco treatment knowledge, and self-efficacy. Tobacco curricula characteristics assessed included amount and type of classroom instruction, frequency of tobacco treatment observation, instruction, and perception of preceptors as role models. RESULTS: Greater tobacco treatment knowledge, self-efficacy, and curriculum-specific variables were associated with 5A intentions, while younger age, tobacco treatment self-efficacy, intentions, and each curriculum-specific variable were associated with greater 5A behaviors. When controlling for important student variables, greater frequency of receiving 5A instruction (OR=1.07; 95%CI 1.01-1.12) and perception of preceptors as excellent role models in tobacco treatment (OR=1.35; 95%CI 1.04-1.75) were significant curriculum predictors of 5A intentions. Greater 5A instruction (B=.06 (.03); p<.05) and observation of tobacco treatment (B=.35 (.02); p<.001) were significant curriculum predictors of greater 5A behaviors. CONCLUSIONS: Greater exposure to tobacco treatment teaching during medical school is associated with both greater intentions to use and practice tobacco 5As. Clerkship preceptors, or those physicians who provide training to medical students, may be particularly influential when they personally model and instruct students in tobacco dependence treatment.