Identifying predictors of multi-year cannabis vaping in U.S. Young adults using machine learning.

INTRODUCTION: Increasing number of current cannabis users report using a vaporized form of cannabis and young adults are most likely to vape cannabis. However, the number of studies on cannabis vaping is limited, and predictors of cannabis vaping among U.S. young adults remain unclear. Previous studies on cannabis vaping have known limitations, as they (1) relied heavily on regression-based approaches that often fail to examine complex and non-linear interactive effects, (2) focused on examining cannabis vaping initiation but not on its use over multiple years, and (3) failed to account for recreational cannabis legalization (RCL) status. METHODS: This study was a secondary analysis of the restricted use files of the Population Assessment of Tobacco and Health Study, Waves 4-6 (December 2016-November 2021). A two-stage machine learning approach, which included Least Absolute Shrinkage and Selection Operator (LASSO) and Classification and Regression Tree (CART), was used to identify predictors of multi-year cannabis vaping while accounting for state-level RCL status among a representative sample of U.S. young adults. RESULTS: Stratified CART created a five-terminal-node prediction model for states with RCL (split by cannabis use, cigarette use, bullying behavior, and ethnicity) and a different five-terminal-node prediction model for states without RCL (split by cannabis use, heroin use, nicotine vaping, and hookah use). CONCLUSIONS: Characteristics predicting multi-year cannabis vaping appear to differ from those of cannabis vaping initiation. Results also highlight the importance of accounting for RCL status because predictors of cannabis vaping may differ for individuals living in states with and without RCL.

Digital Epidemiology of Prescription Drug References on X (Formerly Twitter): Neural Network Topic Modeling and Sentiment Analysis.

BACKGROUND: Data from the social media platform X (formerly Twitter) can provide insights into the types of language that are used when discussing drug use. In past research using latent Dirichlet allocation (LDA), we found that tweets containing "street names" of prescription drugs were difficult to classify due to the similarity to other colloquialisms and lack of clarity over how the terms were used. Conversely, "brand name" references were more amenable to machine-driven categorization. OBJECTIVE: This study sought to use next-generation techniques (beyond LDA) from natural language processing to reprocess X data and automatically cluster groups of tweets into topics to differentiate between street- and brand-name data sets. We also aimed to analyze the differences in emotional valence between the 2 data sets to study the relationship between engagement on social media and sentiment. METHODS: We used the Twitter application programming interface to collect tweets that contained the street and brand name of a prescription drug within the tweet. Using BERTopic in combination with Uniform Manifold Approximation and Projection and k-means, we generated topics for the street-name corpus (n=170,618) and brand-name corpus (n=245,145). Valence Aware Dictionary and Sentiment Reasoner (VADER) scores were used to classify whether tweets within the topics had positive, negative, or neutral sentiments. Two different logistic regression classifiers were used to predict the sentiment label within each corpus. The first model used a tweet's engagement metrics and topic ID to predict the label, while the second model used those features in addition to the top 5000 tweets with the largest term-frequency-inverse document frequency score. RESULTS: Using BERTopic, we identified 40 topics for the street-name data set and 5 topics for the brand-name data set, which we generalized into 8 and 5 topics of discussion, respectively. Four of the general themes of discussion in the brand-name corpus referenced drug use, while 2 themes of discussion in the street-name corpus referenced drug use. From the VADER scores, we found that both corpora were inclined toward positive sentiment. Adding the vectorized tweet text increased the accuracy of our models by around 40% compared with the models that did not incorporate the tweet text in both corpora. CONCLUSIONS: BERTopic was able to classify tweets well. As with LDA, the discussion using brand names was more similar between tweets than the discussion using street names. VADER scores could only be logically applied to the brand-name corpus because of the high prevalence of non-drug-related topics in the street-name data. Brand-name tweets either discussed drugs positively or negatively, with few posts having a neutral emotionality. From our machine learning models, engagement alone was not enough to predict the sentiment label; the added context from the tweets was needed to understand the emotionality of a tweet.

Rationale and Study Checklist for Ethical Rejection of Participants on Crowdsourcing Research Platforms.

Online participant recruitment ("crowdsourcing") platforms are increasingly being used for research studies. While such platforms can rapidly provide access to large samples, there are concomitant concerns around data quality. Researchers have studied and demonstrated means to reduce the prevalence of low-quality data from crowdsourcing platforms, but approaches to doing so often involve rejecting work and/or denying payment to participants, which can pose ethical dilemmas. We write this essay as an associate professor and two institutional review board (IRB) directors to provide a perspective on the competing interests of participants/workers and researchers and to propose a checklist of steps that we believe may support workers' agency on the platform and lessen instances of unfair consequences to them while enabling researchers to definitively reject lower-quality work that might otherwise reduce the likelihood of their studies producing true results. We encourage further, explicit discussion of these issues among academics and among IRBs.

Continuous Quality Improvement in the Substance Abuse and Mental Health Services Administration's Technology Transfer Center Network: A Process Evaluation.

In healthcare and related fields, there is often a gap between research and practice. Scholars have developed frameworks to support dissemination and implementation of best practices, such as the Interactive Systems Framework for Dissemination and Implementation, which shows how scientific innovations are conveyed to practitioners through tools, training, and technical assistance (TA). Underpinning those aspects of the model are evaluation and continuous quality improvement (CQI). However, a recent meta-analysis suggests that the approaches to and outcomes from CQI in healthcare vary considerably, and that more evaluative work is needed. Therefore, this paper describes an assessment of CQI processes within the Substance Abuse and Mental Health Services Administration's (SAMHSA) Technology Transfer Center (TTC) Network, a large TA/TTC system in the United States comprised of 39 distinct centers. We conducted key informant interviews (n = 71 representing 28 centers in the Network) and three surveys (100% center response rates) focused on CQI, time/effort allocation, and Government Performance and Results Act (GPRA) measures. We used data from each of these study components to provide a robust picture of CQI within a TA/TTC system, identifying Network-specific concepts, concerns about conflation of the GPRA data with CQI, and principles that might be studied more generally.

How do the Substance Abuse and Mental Health Services Administration's Technology Transfer Centers Decide What Evidence-Based Practices to Disseminate and Determine How to Do So? A Cross-Sectional Study of a National Network.

It is important to use evidence-based programs and practices (EBPs) to address major public health issues. However, those who use EBPs in real-world settings often require support in bridging the research-to-practice gap. In the US, one of the largest systems that provides such support is the Substance Abuse and Mental Health Services Administration's (SAMHSA's) Technology Transfer Center (TTC) Network. As part of a large external evaluation of the Network, this study examined how TTCs determine which EBPs to promote and how to promote them. Using semi-structured interviews and pre-testing, we developed a "Determinants of Technology Transfer" survey that was completed by 100% of TTCs in the Network. Because the study period overlapped with the onset of the COVID-19 pandemic, we also conducted a retrospective pre/post-pandemic comparison of determinants. TTCs reported relying on a broad group of factors when selecting EBPs to disseminate and the methods to do so. Stakeholder and target audience input and needs were consistently the most important determinant (both before and during COVID-19), while some other determinants fluctuated around the pandemic (e.g., public health mandates, instructions in the funding opportunity announcements). We discuss implications of the findings for technology transfer and frame the analyses in terms of the Interactive Systems Framework for Dissemination and Implementation.

Correction: Implementation Documentation and Process Assessment of the PharmNet Intervention: Observational Report.

[This corrects the article DOI: 10.2196/54077.].

College leadership decisions and experiences during the COVID-19 pandemic: an elite interview study.

OBJECTIVE: This study at a US Native American-serving Nontribal Institution (NASNTI) deeply analyzed collegiate leadership's responses and experiences during the first year of the COVID-19 pandemic. PARTICIPANTS: Elite interviews were conducted between April and June 2021 with the college president, provost, dean of student engagement, human resources director, and chief of police. Interviewees were purposively selected due to their positions of authority. METHODS: Each one-hour interview used a semi-structured guide for standardization and was conducted either virtually or in-person while following COVID-19 protocols. The general inductive method was used to identify nodes and categories within the transcripts. RESULTS: Six nodes (conceptual domains) and 18 categories were identified. Though there was variability in interviewee emphasis, the respondents described the motivations, drivers, and sentiment behind their decision-making in a transparent way. CONCLUSIONS: NASNTI leadership reported being able to navigate the pandemic by emphasizing transparency and engaging students, while working alongside the community.

The Feasibility of Using the National PulsePoint Cardiopulmonary Resuscitation Responder Network to Facilitate Overdose Education and Naloxone Distribution: Protocol for a Randomized Controlled Trial.

BACKGROUND: The use of naloxone, an opioid antagonist, is a critical component of the US response to fatal opioid-involved overdoses. The importance and utility of naloxone in preventing fatal overdoses have been widely declaimed by medical associations and government officials and are supported by strong research evidence. Still, there are gaps in the current US national strategy because many opioid-involved overdose fatalities have no evidence of naloxone administration. Improving the likelihood that naloxone will be used to prevent fatal overdoses is predicated on facilitating an environment wherein naloxone is available near each overdose and can be accessed by someone who is willing and able to use it. How to accomplish this on a national scale has been unclear. However, there exists a national network of >1 million cardiopulmonary resuscitation (CPR) layperson responders and 4800 emergency responder agencies linked through a mobile phone app called PulsePoint Respond. PulsePoint responders certify that they are trained to administer CPR and are willing to respond to possible cardiac events in public. When such an event occurs near their mobile phone's location, they receive an alert to respond. These motivated citizens are ideally positioned to carry naloxone and reverse overdoses that occur in public. OBJECTIVE: This randomized controlled trial will examine the feasibility of recruiting first responder agencies and layperson CPR responders who already use PulsePoint to obtain overdose education and carry naloxone. METHODS: This will be a 3-arm parallel-group randomized controlled trial. We will randomly select 180 first responder agencies from the population of agencies contracting with the PulsePoint Foundation. The 3 study arms will include a standard recruitment arm, a misperception-correction recruitment arm, and a control arm (1:1:1 allocation, with random allocation stratified by zip code designation [rural or nonrural]). We will study agency recruitment and, among the agencies we successfully recruit, responder certification of receiving overdose and naloxone education, carrying naloxone, or both. Hypothesis 1 contrasts agency recruitment success between arms 1 and 2, and hypothesis 2 contrasts the ratios of layperson certification across all 3 arms. The primary analyses will be a logistic regression comparing the recruitment rates among the arms, adjusting for rural or nonrural zip code designation. RESULTS: This study was reviewed by the Indiana University Institutional Review Board (20218 and 20219). This project was funded beginning September 14, 2023, by the National Institute on Drug Abuse. CONCLUSIONS: The hypotheses in this study will test whether a specific type of messaging is particularly effective in recruiting agencies and layperson responders. Although we hypothesize that arm 2 will outperform the other arms, our intention is to use the best-performing approach in the next phase of this study if any of our approaches demonstrates feasibility. TRIAL REGISTRATION: OSF Registries osf.io/egn3z; https://osf.io/egn3z. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/57280.

Implementation Documentation and Process Assessment of the PharmNet Intervention: Observational Report.

BACKGROUND: The number of overdose deaths in the United States involving opioids continues to exceed 100,000 per year. This has precipitated ongoing declarations of a public health emergency. Harm reduction approaches, such as promoting awareness of, ensuring access to, and fostering willingness to use naloxone to reverse opioid overdose, are a key component of a larger national strategy to address the crisis. In addition, overdose reversal with naloxone directly and immediately saves lives. Because of pharmacies' ubiquity and pharmacists' extensive clinical training, community pharmacies are well-positioned, in principle, to facilitate naloxone access and education. OBJECTIVE: In 2022, a single-site pilot study of PharmNet, a community pharmacy intervention incorporating naloxone distribution, awareness building, and referral, showed promising outcomes for both naloxone and resource distribution in the community. As a next step, this study was intended to be a pilot randomized controlled trial of PharmNet in 7 pharmacies. However, due to circumstances outside of the study team's control, data collection was unable to be fully completed as planned. In keeping with open research standards, we transparently report all available data from the study and discuss trial barriers and processes. We do so both to provide insights that may inform similar studies and to avoid the "file-drawer" (publication bias) problem, which can skew the aggregated scholarly literature through nonpublication of registered trial results or selective publication of findings affirming authors' hypotheses. METHODS: This paper reports an in-depth implementation study assessment, provides the available observational data, and discusses implementation considerations for similar studies in independent (eg, nonchain) community pharmacies. RESULTS: Retrospective assessment of study outcomes and fidelity data provided for robust discussion around how resource differences in independent community pharmacies (vs well-resourced chain pharmacies), as well as high demands on staff, can affect intervention implementation, even when leadership is highly supportive. CONCLUSIONS: Community pharmacies, particularly independent community pharmacies, may require more support than anticipated to be successful when implementing a new intervention into practice, even if it might affect estimates of real-world effectiveness. Further implementation science research is needed specific to independent community pharmacies. All study elements are outlined in the International Registered Report Identifier (IRRID) PRR1-10.2196/42373. Although this paper reports results associated with that registration, results and conclusions should not be given the weight assigned to findings from a preregistered study. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/42373.

Come back when you're infected: pharmacy access to sterile syringes in an Arizona Secret Shopper Study, 2023.

BACKGROUND: Pharmacies are critical healthcare partners in community efforts to eliminate bloodborne illnesses. Pharmacy sale of sterile syringes is central to this effort. METHODS: A mixed methods "secret shopper" syringe purchase study was conducted in the fall of 2022 with 38 community pharmacies in Maricopa and Pima Counties, Arizona. Pharmacies were geomapped to within 2 miles of areas identified as having a potentially high volume of illicit drug commerce. Daytime venue sampling was used whereby separate investigators with lived/living drug use experience attempted to purchase syringes without a prescription. Investigator response when prompted for purchase rationale was "to protect myself from HIV and hepatitis C." A 24-item instrument measured sales outcome, pharmacy staff interaction (hostile/neutral/friendly), and the buyer's subjective experience. RESULTS: Only 24.6% (n = 28) of 114 purchase attempts across the 38 pharmacies resulted in syringe sale. Less than one quarter (21.1%) of pharmacies always sold, while 44.7% never sold. Independent and food store pharmacies tended not to sell syringes. There emerged distinct pharmacy staff interactions characterized by body language, customer query, normalization or othering response, response to purchase request and closure. Pharmacy discretion and pharmacy policy not to sell syringes without a prescription limited sterile syringe access. Investigators reported frequent and adverse emotional impact due to pharmacy staff negative and stigmatizing interactions. CONCLUSIONS: Pharmacies miss opportunities to advance efforts to eliminate bloodborne infections by stringent no-sale policy and discretion about syringe sale. State regulatory policy facilitating pharmacy syringe sales, limiting pharmacist discretion for syringe sales, and targeting pharmacy-staff level education may help advance the achievement of public health goals to eliminate bloodborne infections in Arizona.

Adverse Childhood Experience-Related Conditions and Substance Use in Adolescents: A Secondary Analysis of Cross-Sectional Survey Data.

BACKGROUND: Adverse childhood experiences (ACEs) cluster within children. In addition to standardized ACE measures, there exist "ACE-related" measures that are either directly or indirectly related to the standardized ACE constructs. This study aimed to identify ACE-related latent classes of adolescents and describe past-month substance use in each class by sex and race/ethnicity. METHODS: Data from the 2018 Indiana Youth Survey (N = 70,703), which is a repeated self-administered, cross-sectional survey, were used. Latent class analysis was conducted using ACE-related family (parent incarceration, insulting/yelling within family, inability to discuss personal problems) and school (hate being in school, feeling unsafe, inability to talk to teachers one-on-one) items. Dependent variable combined past 30-day use-frequency of 17 substances. Two-way analysis of variances examined ACE by sex and race/ethnicity interaction. RESULTS: Four ACE-related classes emerged: "Family-Only" (11.2%), "School-Only" (16.5%), "Family-School" (8.0%), and "No-ACE" (64.3%). Substance use was highest in "Family-School" (mean = 0.67); lowest in "No-ACE" (mean = 0.21). Significant race/ethnicity (F = 27.06; p < .0001), ACE * sex interaction (F = 12.13; p < .0001) and ACE * race/ethnicity interaction (F = 4.57; p < .0001) effects emerged. Within each ACE-related class, substance use was lowest for Asians and highest for Hispanics. CONCLUSIONS: Adverse childhood experience-related items cluster within children across school and family environments and clustering differs by race/ethnicity, but not by sex. Incorporating ACE-related items into school surveys enhances the ability to implement interventions that target relationships between ACEs and substance use.

Organizational Network Analysis of SAMHSA's Technology Transfer Center (TTC) Network.

Technology transfer centers (TTCs) facilitate the movement of evidence-based practices in behavioral healthcare from theory to practice. One of the largest such networks is the Substance Abuse and Mental Health Services Administration's (SAMHSA) TTC Network. This brief report shares findings from an organizational network analysis (ONA) of the network conducted as part of an external evaluation. For non-supervisory TTCs (n = 36) across three focus areas (addiction, prevention, and mental health), the authors computed network density, harmonic closeness, and non-null dyadic reciprocity for five types of interactions (e.g., "collaborated in workgroups"), then, for each interaction type, used Welch's T-test to compare mean harmonic closeness of standalone TTC grantees versus multiple-TTC grantees. ONA identified potentially isolated regional TTCs as well as mismatches between some centers' desired scope and their network centrality and enabled investigation of broader questions around behavioral health support systems. The approach appears useful for evaluating TTCs and similar support networks.

Coping with Community Violence: Perspectives of African American Young Adult Men and Hispanic/Latino Young Adult Men.

Further study is needed regarding the intersection of community violence exposure, coping strategies, and health behaviors among young adult African American men and Hispanic/Latino men. This study did so in Lake County, Indiana, which contains multiple areas with disproportionate prevalence of violence relative to population size. Approximately 22 miles from Chicago, Lake County includes noteworthy mid-sized cities such as Gary, Hammond, and East Chicago. This study explored the perceptions of African American men and Hispanic/Latino men ages 18 to 25 regarding coping strategies and both healthy and health risk behaviors after directly witnessing or indirectly experiencing a violent act or event. We used aspects of social cognitive theory to design this community-based participatory research study. Thirteen males who self-identified as African American, Hispanic/Latino, or both, completed 34- to 80-minute, audio-recorded phone interviews. Audio recordings were transcribed, and NVivo 12 Windows was used by the research team (primary researchers and two coders) to complete transcript analysis. Findings from this study provided insight around African American men and Hispanic/Latino men regarding (a) witnessing violence directly or indirectly experiencing violence; (b) changes in everyday life experiences; (c) coping strategies that involved socio-emotional health, spiritual health, social health, and risky health behaviors; (d) rationales for not asking for help; (e) observations of significant others' coping; (f) what to do differently in the future; (g) beliefs about mentors; and (h) beliefs about mental health providers. Delving into participants' experiences revealed that African American men and Hispanic/Latino men in Lake County, Indiana chose to adopt a range of health risk and health positive strategies after directly witnessing or indirectly experiencing violence. Becoming knowledgeable about African American men's and Hispanic/Latino men's diverse coping strategies and health behaviors may help inform the community about how best to cocreate spaces that aim to alleviate the traumatic experience of having directly or indirectly experienced community violence.

Comment on Marsigliante et al. Effects on Children's Physical and Mental Well-Being of a Physical-Activity-Based School Intervention Program: A Randomized Study. Int. J. Environ. Res. Public Health 2023, 20, 1927.

We conducted a critical review of the article "Effects on Children's Physical and Mental Well-Being of a Physical-Activity-Based School Intervention Program: A Randomized Study", published in the International Journal of Environmental Research and Public Health in 2023 as part of the Special Issue "Psychomotricity and Physical Education in School Health". We identified multiple mistakes in the statistical analyses applied. First, the authors claim to have found a statistically significant association between the proposed intervention and change in body composition (body mass index (BMI) percentiles, relative fat mass, and BMI classes) by way of exhibiting differences in nominal significance between the pre- and post-intervention changes within the control and intervention groups, instead of exhibiting a significant difference between groups. Furthermore, the analysis described fails to account for clustering and nesting in the data. The reporting of the statistical methods and results include multiple elements that are variously incorrect, incoherent, or impossible. Revised statistical analyses are proposed which can render the study's methods valid and its results substantiated, whereas the current methods and results are invalid and unsubstantiated, respectively.

Students' COVID-19 vaccine behaviors, intentions, and beliefs at a US Native American-Serving Nontribal Institution (NASNTI).

OBJECTIVE: Multiple national and international studies of college student COVID-19 vaccination have been recently published, providing important descriptive information and a conceptual basis to inform future decisions about infectious disease prevention in higher education settings. Yet almost no research has examined Native American-Serving Nontribal Institutions (NASNTIs), which occupy a unique space in US higher education in terms of structure and students served. To address that gap, this report describes results from a two-wave cross-sectional survey administered at a NASNTI in Durango, Colorado, as part of a larger study of COVID-19 campus response. Surveys were administered prior to (wave one) and following (wave two) statewide availability of the COVID-19 vaccine for ages 16+. Comparisons between waves used Cramer's V and Mann-Whitney U tests. RESULTS: A total of 283 students responded to wave one, and 186 responded to wave two. Notable results included a self-reported COVID-19 vaccination rate (40.1%) at wave one that far exceeded parallel national rates. Injunctive and disjunctive normative beliefs were also less supportive of vaccination among the unvaccinated at wave two compared to wave one. Findings from this study should be considered in the context of all available evidence and not used to make inferences in isolation.

Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses.

BACKGROUND: Social media is an important information source for a growing subset of the population and can likely be leveraged to provide insight into the evolving drug overdose epidemic. Twitter can provide valuable insight into trends, colloquial information available to potential users, and how networks and interactivity might influence what people are exposed to and how they engage in communication around drug use. OBJECTIVE: This exploratory study was designed to investigate the ways in which unsupervised machine learning analyses using natural language processing could identify coherent themes for tweets containing substance names. METHODS: This study involved harnessing data from Twitter, including large-scale collection of brand name (N=262,607) and street name (N=204,068) prescription drug-related tweets and use of unsupervised machine learning analyses (ie, natural language processing) of collected data with data visualization to identify pertinent tweet themes. Latent Dirichlet allocation (LDA) with coherence score calculations was performed to compare brand (eg, OxyContin) and street (eg, oxys) name tweets. RESULTS: We found people discussed drug use differently depending on whether a brand name or street name was used. Brand name categories often contained political talking points (eg, border, crime, and political handling of ongoing drug mitigation strategies). In contrast, categories containing street names occasionally referenced drug misuse, though multiple social uses for a term (eg, Sonata) muddled topic clarity. CONCLUSIONS: Content in the brand name corpus reflected discussion about the drug itself and less often reflected personal use. However, content in the street name corpus was notably more diverse and resisted simple LDA categorization. We speculate this may reflect effective use of slang terminology to clandestinely discuss drug-related activity. If so, straightforward analyses of digital drug-related communication may be more difficult than previously assumed. This work has the potential to be used for surveillance and detection of harmful drug use information. It also might be used for appropriate education and dissemination of information to persons engaged in drug use content on Twitter.

Development and validation of a model for measuring alcohol consumption from transdermal alcohol content data among college students.

BACKGROUND AND AIMS: Transdermal alcohol content (TAC) data collected by wearable alcohol monitors could potentially contribute to alcohol research, but raw data from the devices are challenging to interpret. We aimed to develop and validate a model using TAC data to detect alcohol drinking. DESIGN: We used a model development and validation study design. SETTING: Indiana, USA PARTICIPANTS: In March to April 2021, we enrolled 84 college students who reported drinking at least once a week (median age = 20 years, 73% white, 70% female). We observed participants' alcohol drinking behavior for 1 week. MEASUREMENTS: Participants wore BACtrack Skyn monitors (TAC data), provided self-reported drinking start times in real time (smartphone app) and completed daily surveys about their prior day of drinking. We developed a model using signal filtering, peak detection algorithm, regression and hyperparameter optimization. The input was TAC and outputs were alcohol drinking frequency, start time and magnitude. We validated the model using daily surveys (internal validation) and data collected from college students in 2019 (external validation). FINDINGS: Participants (N = 84) self-reported 213 drinking events. Monitors collected 10 915 hours of TAC. In internal validation, the model had a sensitivity of 70.9% (95% CI = 64.1%-77.0%) and a specificity of 73.9% (68.9%-78.5%) in detecting drinking events. The median absolute time difference between self-reported and model-detected drinking start times was 59 min. Mean absolute error (MAE) for the reported and detected number of drinks was 2.8 drinks. In an exploratory external validation among five participants, number of drinking events, sensitivity, specificity, median time difference and MAE were 15%, 67%, 100%, 45 minutes and 0.9 drinks, respectively. Our model's output was correlated with breath alcohol concentration data (Spearman's correlation [95% CI] = 0.88 [0.77, 0.94]). CONCLUSION: This study, the largest of its kind to date, developed and validated a model for detecting alcohol drinking using transdermal alcohol content data collected with a new generation of alcohol monitors. The model and its source code are available as Supporting Information (https://osf.io/xngbk).

Factors associated with choice of behavioural weight loss program by adults with obesity.

We assessed the preference for two behavioural weight loss programs, Diabetes Prevention Program (DPP) and Healthy Weight for Living (HWL) in adults with obesity. A cross-sectional survey was fielded on the Amazon Mechanical Turk. Eligibility criteria included reporting BMI ≥30 and at least two chronic health conditions. Participants read about the programs, selected their preferred program, and answered follow-up questions. The estimated probability of choosing either program was not significantly different from .5 (N = 1005, 50.8% DPP and 49.2% HWL, p = .61). Participants' expectations about adherence, weight loss magnitude, and dropout likelihood were associated with their choice (p < .0001). Non-White participants (p = .040) and those with monthly income greater than $4999 (p = .002) were less likely to choose DPP. Participants who had postgraduate education (p = .007), did not report high serum cholesterol (p = .028), and reported not having tried losing weight before (p = .025) were more likely to choose DPP. Those who chose HWL were marginally more likely to report that being offered two different programs rather than one would likely affect their decision to enrol in one of the two (p = .052). The enrolment into DPP and HWL was balanced, but race, educational attainment, income, previous attempt to lose weight, and serum cholesterol levels had significant associations with the choice of weight loss program.

Using Normative Language When Describing Scientific Findings: Randomized Controlled Trial of Effects on Trust and Credibility.

BACKGROUND: Scientists often make cognitive claims (eg, the results of their work) and normative claims (eg, what should be done based on those results). Yet, these types of statements contain very different information and implications. This randomized controlled trial sought to characterize the granular effects of using normative language in science communication. OBJECTIVE: Our study examined whether viewing a social media post containing scientific claims about face masks for COVID-19 using both normative and cognitive language (intervention arm) would reduce perceptions of trust and credibility in science and scientists compared with an identical post using only cognitive language (control arm). We also examined whether effects were mediated by political orientation. METHODS: This was a 2-arm, parallel group, randomized controlled trial. We aimed to recruit 1500 US adults (age 18+) from the Prolific platform who were representative of the US population census by cross sections of age, race/ethnicity, and gender. Participants were randomly assigned to view 1 of 2 images of a social media post about face masks to prevent COVID-19. The control image described the results of a real study (cognitive language), and the intervention image was identical, but also included recommendations from the same study about what people should do based on the results (normative language). Primary outcomes were trust in science and scientists (21-item scale) and 4 individual items related to trust and credibility; 9 additional covariates (eg, sociodemographics, political orientation) were measured and included in analyses. RESULTS: From September 4, 2022, to September 6, 2022, 1526 individuals completed the study. For the sample as a whole (eg, without interaction terms), there was no evidence that a single exposure to normative language affected perceptions of trust or credibility in science or scientists. When including the interaction term (study arm × political orientation), there was some evidence of differential effects, such that individuals with liberal political orientation were more likely to trust scientific information from the social media post's author if the post included normative language, and political conservatives were more likely to trust scientific information from the post's author if the post included only cognitive language (ß=0.05, 95% CI 0.00 to 0.10; P=.04). CONCLUSIONS: This study does not support the authors' original hypotheses that single exposures to normative language can reduce perceptions of trust or credibility in science or scientists for all people. However, the secondary preregistered analyses indicate the possibility that political orientation may differentially mediate the effect of normative and cognitive language from scientists on people's perceptions. We do not submit this paper as definitive evidence thereof but do believe that there is sufficient evidence to support additional research into this topic, which may have implications for effective scientific communication. TRIAL REGISTRATION: OSF Registries osf.io/kb3yh; https://osf.io/kb3yh. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/41747.

The continuing evolution of a cancer prevention, screening, and survivorship ECHO: A second year of implementation.

INTRODUCTION: An estimated 39,010 Indiana residents were diagnosed with cancer in 2021. To address the cancer burden, Project ECHO (Extension Community Healthcare Outcomes) was launched in 2019 in Indiana to build specialty healthcare capacity among non-specialists. Due to positive outcomes from the pilot year, the Cancer Prevention, Screening, and Survivorship ECHO was implemented for a second year. The purpose of this study was to measure the participation and regional impact of this ECHO. METHODS: ECHO sessions occurred twice monthly from October 2020 to October 2021. Changes were implemented in response to feedback from the pilot year, including making the curriculum more practical for learners and adding accreditation opportunities. Participant information and feedback was extracted from electronic surveys for review. RESULTS: There were 24 ECHO sessions with 213 unique participants, increased from 140 unique participants in the pilot year. An average of 23.5 individuals attended each session, increased from 15.5 individuals per session. Enrolled participants served in a diverse set of roles and represented 247 zip codes, 30 Indiana counties, and 32 states across the United States, each of which increased from the pilot year. DISCUSSION: In this second year, this ECHO expanded to reach more participants with increased attendance and a more diverse distribution of roles within healthcare, which may be attributed to feedback-driven curriculum design. Cancer care is multi-disciplinary, with health educators, nurses, and administrators, each acting within the cancer care continuum. As a result, this ECHO has been adapted to serve an increasingly broad distribution of professionals. CONCLUSION: The second year of the Cancer Prevention, Screening, and Survivorship ECHO displayed increased overall enrollment and participation, greater diversity among participant roles, and a wider reach across Indiana and the United States.