Preventive Medicine Reports

Introduction Smoking prevalence remains higher in rural than in urban populations in the United States. To examine recent trends, we assessed state-level differences in cigarette smoking between urban and rural areas from 2018 to 2024. Methods Using repeated cross-sectional data from the Behavioral Risk Factor Surveillance System, we estimated state-specific logistic regression models to examine the relationship between urban-rural county residence and cigarette smoking. Unadjusted models (model 1) included urban-rural county status and year. Subsequent models (model 2) added age, sex, and race/ethnicity. A final model (model 3) included education and an interaction term between urban-rural county status and year to examine whether gaps in urban-rural smoking changed over time. In states with significant interactions, simple effects tests compared trends for urban-rural groups separately. Results Compared to urban adults, rural adults had higher unadjusted odds of cigarette smoking (odds ratio [OR] range:1.07-1.88) in 88.4% (38/43) of states. Adjusting for demographic covariates (model 2) increased the proportion of states with significant marginal effects of rurality to 90.7% (ORs:1.09-1.87). A final model that also controlled for education (model 3) decreased the proportion of states with significant marginal effects of rurality to 60.5% (ORs:1.10-1.54). Among the 14 states with significant interaction terms, the odds of smoking declined faster among urban than rural residents. Conclusion Urban-rural differences in smoking persist across most states. No state showed a reduction in urban-rural disparities over time, and the urban-rural gap widened in 14 states. Demographic variation accounted for some, but not the majority, of observed urban-rural differences.

This cross-sectional study aimed to examine the prevalence of alcohol use and its sociodemographic correlates among adults with cardiovascular disease (CVD). We analyzed data from two large US cohorts: the All of Us Research Program (2017-2023) and the National Health and Nutrition Examination Survey (NHANES, 1999-2016). Both CVD diagnosis and past-year alcohol consumption were self-reported. Risky drinking was defined as exceeding moderate drinking or binge drinking (All of Us), or moderate/heavy drinking (NHANES). Multivariable logistic regression was used to exam associations with sociodemographic and lifestyle factors. Among 32,788 current drinkers with CVD in the All of Us cohort, 15% exceeded moderate drinking thresholds and 26% reported binge drinking. Older age, female sex, and higher socioeconomic status were inversely associated with risky drinking, while smoking was positively associated. In NHANES, moderate drinking rose from 47.3% to 57.2% and heavy drinking from 6.7% to 7.2%. Moderate/heavy drinking was positively associated with age <65 but inversely with age [&ge;]65. Higher education and income were linked to moderate drinking, while current smoking was strongly associated with heavy drinking. These results highlight the need to integrate holistic screening for alcohol use, tobacco use, and social context into routine cardiovascular care.

During the 2025-26 respiratory virus season, changes to COVID-19 vaccine eligibility, recommendations, and communication may have made vaccination follow-through especially challenging. Under-vaccination may reflect not only lack of willingness, but also breakdowns between willingness and uptake. We analyzed data from 3,390 adults in the CHASING COVID Cohort who completed assessments in August 2025 and March 2026 to examine gaps between vaccine willingness and subsequent influenza and COVID-19 vaccination. Vaccine willingness was defined using prior-season vaccination and stated intention to vaccinate during the 2025-26 respiratory virus season. In August 2025, 73% of participants were influenza vaccine willing and 68% were COVID-19 vaccine willing. Among vaccine-willing participants, 17% and 39% were unvaccinated for influenza and COVID-19, respectively, by March 2026. Absence of prior-season vaccination was the strongest predictor of not vaccinating for influenza and COVID-19, respectively (aRR [95% CI]: 4.04 [3.44-4.74]; 3.01 [2.72-3.34]). Non-vaccination was also associated with food insecurity (1.99 [1.66-2.37]; 1.47 [1.33-1.63]), any healthcare barrier (1.89 [1.57-2.28]; 1.51 [1.36-1.67]), and being not at all confident in vaccine safety (2.95 [2.15-4.05]; 2.21 [1.88-2.59]). Trajectory analyses suggested willingness-uptake gaps reflected incomplete follow-through on intentions and discontinuation among some prior vaccinators. Commonly reported reasons among vaccine-willing non-vaccinators included difficulty finding a convenient time, place, or appointment and, for COVID-19, lack of healthcare provider recommendation. Findings among non-vaccinated adults with prior or stated openness to vaccinate highlight missed opportunities and suggest avenues to improve coverage through strategies that reinforce vaccine confidence, reduce access and logistical barriers, and make vaccination easier to complete.

Introduction The Tobacco and Vapes Act 2026 provides the UK government powers to ban vaping in public places. Proposals include extending existing indoor smoke-free legislation to also being vape-free and making public children's playgrounds and outdoor areas of education settings vape-free. We examined adults' and adolescents' views on vape-free places. Methods Two UK-wide cross-sectional online surveys were conducted in 2026, one with adult (18+) current and former nicotine users (n=2,851), and one with adolescents aged 11-17 years (n=2,123). We measured (1) perceived acceptability of vaping in public places, (2) views on whether vapes should/should not be allowed in public places, and (3) perceived likelihood of public compliance with vaping bans. Results Adults considered it unacceptable to vape on public transport (85.9%), on school grounds (outdoors) (83.6%), outside hospital entrances (59.2%), and inside pubs (57.8%) and nightclubs (52.5%). A minority considered it unacceptable to vape at open air playparks (40.6%). Most adolescents viewed vaping as unacceptable in all locations. Perceived acceptability of vaping in each place was associated with current vaping and/or smoking. Adults and adolescents believed vaping should not be allowed on public transport (88.9%; 93.8%) or outdoors on school grounds (85.8%; 93.5%). Adults and adolescents perceived likely compliance on public transport, school grounds and in pubs, but not in nightclubs, outside hospital entrances and at open air playparks. Conclusion The findings indicate public support for some vape-free places among adults and adolescents, particularly on public transport and school grounds, and less so for a ban at open air playparks.

Background Human papillomavirus (HPV) vaccination is an effective cancer prevention strategy, yet HPV vaccine awareness remains uneven across sociodemographic groups. In the current digital information environment, awareness may be shaped not only by access to health information but also by exposure to false or misleading health information, difficulty evaluating information accuracy, and echo-chamber dynamics on social media. Objective This study examined associations between perceived exposure to false or misleading health information on social media, difficulty determining whether social media health information is true or false, perceived echo-chamber exposure, and HPV vaccine awareness among U.S. adults. Methods We analyzed nationally representative Health Information National Trends Survey data using survey-weighted descriptive statistics and logistic regression models. The analytic sample included 2,371 respondents, representing a weighted population of 49.2 million U.S. adults. The outcome was HPV vaccine awareness. Primary predictors included perceived exposure to false or misleading health information on social media, difficulty determining whether social media health information was true or false, and perceived same-view health network exposure on social media. Models adjusted for age, sex, race/ethnicity, education, household income, rurality, and Census division. Results Overall, 60.37% of respondents reported HPV vaccine awareness. Most respondents reported encountering false or misleading health information on social media, with 45.57% reporting "some" and 32.83% reporting "a lot." In unadjusted models, greater perceived exposure to false or misleading health information was associated with higher odds of HPV vaccine awareness. After adjustment, respondents reporting "some" false or misleading health information had significantly higher odds of HPV vaccine awareness compared with those reporting none (AOR=2.40, 95% CI: 1.06-5.43), while the association for "a lot" was marginal (AOR=2.29, 95% CI: 0.97-5.38). Difficulty identifying true versus false social media health information and perceived echo-chamber exposure were associated with HPV vaccine awareness in unadjusted models but were attenuated after adjustment. HPV vaccine awareness was substantially higher among females and respondents with higher educational attainment, and lower among Hispanic, non-Hispanic Asian, and non-Hispanic other respondents compared with non-Hispanic White respondents. Conclusions HPV vaccine awareness is associated with both digital health information exposure and persistent sociodemographic inequities. Greater perceived exposure to misleading health information may reflect broader engagement with health-related content on social media, where accurate and inaccurate information coexist. Public health communication strategies should address misinformation vulnerability while expanding accurate, culturally responsive HPV vaccine messaging across digital platforms.

Short-form video platforms increasingly shape how young audiences encounter health information. Generative artificial intelligence can produce standardized avatar-based messages at scale, but randomized evidence for tobacco prevention is scarce. In this three-arm randomized online intervention study with pre-post assessment, participants aged 16 years or older were assigned to an AI avatar video emphasizing short-term smoking consequences, an AI avatar video presenting long-term cancer-related information matched to an American Cancer Society fact sheet, or the same fact sheet in written form. The primary outcome was post-intervention intention to avoid smoking and secondhand smoke exposure, adjusted for baseline intention. Among 400 randomized participants, 272 had complete data for the primary baseline-adjusted analysis. Intention increased from baseline to post-intervention in all conditions, with no statistically significant between-group differences. These findings support AI avatar videos as a scalable, social-media-compatible format for digital tobacco prevention, while not establishing superiority or equivalence.

Introduction No widely adopted guidelines exist for collecting and reporting donor-level metadata in tissue-based research, limiting interpretability, reproducibility, and potentially introducing bias. This study aimed to inform ethical and appropriate metadata practices. Methods Semi-structured interviews were conducted with 16 investigators from the Human BioMolecular Atlas Program. Thematic analysis using inductively derived codes identified metadata elements and perspectives on their collection and reporting. Results Participants identified 80 metadata variables across six domains: demographic, sociodemographic, medical history, personally identifying information, cause of death, and tissue/organ data. Most supported routine collection and reporting of demographics and medical history, whereas views on cause of death and sociodemographic data were mixed. Conclusion We recommend routinely collecting and reporting demographics and medical history, while restricting cause of death and sociodemographic variables to situations with explicit consent or justification. These findings provide initial evidence to inform ethical donor metadata guidelines, with further stakeholder engagement and consensus-building needed.

Background: In the United States, several states have restricted sales of flavoured tobacco products, including popular menthol- and mint-flavoured Oral Nicotine Pouches (ONP). In response, tobacco companies introduced "unflavoured" ONP containing odorless synthetic cooling agents. Since these, in turn, have become targets of legislative bans, the tobacco industry may seek out flavourants with other sensory effects to increase the appeal of "unflavoured" ONP. Methods: Online merchants were searched for "unflavored" ONP marketed to consumers in jurisdictions with flavour bans. Sensory effects of aqueous extracts from identified "heat", "spicy" and "unflavoured" ONP were analyzed by Ca2+ microfluorimetry in HEK293 cells expressing the human heat/chili pepper flavourant (capsaicinoid) receptor, hTRPV1. ONP were analyzed for capsaicinoids and sweeteners by Liquid Chromatography/Mass Spectrometry (LC/MS). Results: A new category of "heat" or "spicy" ONP was identified, including products marketed as "unflavoured". Extracts from all these ONP robustly activated TRPV1, with "unflavoured" Lucy Heat the most potent. Chemical analysis demonstrated that Lucy Heat contained the synthetic capsaicinoid nonivamide at high levels (~675 microgram/pouch), while others contained mixtures of capsaicinoids (5-25 microgram/pouch) combined with other characterizing flavours (tropical, fruit). All tested ONP contained sweeteners. Conclusions: The tobacco industry continues to probe regulatory loopholes by claiming that newly introduced capsaicinoid flavourants and sweeteners in ONP do not represent characterizing flavours. This is contradicted by industry and regulatory determinations assigning characterizing flavour properties to these additives. The toxicological health risks of repeated capsaicinoid exposures due to ONP use, in combination with nicotine and other constituents, need to be assessed.

BACKGROUND Clinical decision support (CDS) systems can improve care quality, but their implications for equity remain uncertain. We examined whether provider response to CDS alerts differed by patient race and sex in primary care, and whether differences in alert exposure helped explain any observed variation. METHODS AND PRINCIPAL FINDINGS We conducted a retrospective study using EHR data from a New York City academic health system, focusing on alert-based CDS during outpatient primary care. Logistic regression was used to estimate the likelihood of alert engagement by patient race and sex, while adjusting for encounter and provider factors. We used a generalized structural equation model to assess mediation by alert type, decomposing direct and indirect effects of demographics on response. Direct effects suggest that providers may respond differently to alerts based on patient identity, consistent with interpersonal bias, in which implicit or explicit attitudes shape clinical behavior, and on the context of the visit. Indirect effects highlight disparities in how alerts are assigned across groups, indicating that algorithmic or systemic bias may be embedded within the technology itself. Estimated mediated pathways suggest that even when providers respond uniformly to alerts, unequal exposure can still produce inequitable outcomes. DISCUSSION The findings highlight that the type of CDS triggered plays a significant role in differential CDS responses, with provider- and patient-related factors evident in these differences. These findings underscore the need to evaluate not only provider behavior but also the logic and distribution of CDS tools themselves, as both can contribute to disparities in care delivery. Further research should also focus on looking for the potential health impact of the differential response.

Background: Sexual health vending machines have emerged as a promising approach to expanding access to contraception and other sexual health products on college campuses. This study evaluated patterns of use, perceived accessibility, and student attitudes towards the sexual health vending machine at Tufts University. Methods: This mixed-methods evaluation combined an online survey with vending machine refill data. Analyses included descriptive analysis, chi-square tests, and thematic analysis of open-ended responses. Results: The survey was open from October to December 2025 and included 118 respondents. Self-reported use suggests students engage with the vending machine on an as-needed basis. Users were significantly more likely to agree that it increased their likelihood of using a condom, compared with non-users. However, both groups expressed strong support for the vending machine, reporting that it improved access to sexual health resources, offered satisfactory product variety, and should be provided by the university. Although many students appreciated its visibility and role in reducing stigma, concerns about privacy and discretion were the most commonly reported reasons for non-use. Restock data indicated sustained year-round utilization, with expected decreases during vacation periods. Conclusion: Overall, these findings suggest that sexual health vending machines represent a scalable strategy for expanding access to sexual health resources in university settings. Offering a unique combination of immediacy, affordability, and convenience, this low-barrier resource may also promote preventive sexual health behaviors across campus, even among non-users, and support broader efforts to prevent sexually transmitted infections and unintended pregnancy among young adults.

Universities provide a key opportunity to deliver social prescribing, a care pathway that aims to connect people with non-medical forms of support within the community to address their social, emotional, and practical needs. However, it is unclear whether students in the UK are aware of social prescribing and whether it would be an acceptable form of support. We surveyed 775 university students across the UK who completed a questionnaire measuring awareness and perceptions of social prescribing. We described awareness and attitudes and used logistic regression to explore how they differed according to individual characteristics. We found an awareness-attitude paradox. Only 25% of students were aware of social prescribing, but attitudes were overwhelmingly positive once explained: 97% thought it could support mental health and wellbeing; 95% believed universities should offer it; and 89% would accept social prescribing if offered by a healthcare professional. Students who were older, postgraduates, and had English as their first language were among those with higher odds of being aware of social prescribing, but positive attitudes were more evenly reported across the sample. Our findings indicate that implementation efforts should prioritise awareness-raising and clear referral pathways, rather than increasing students' willingness to engage with social prescribing.

Background: Medical students face significant mental health challenges, yet psychological distress and post-traumatic stress remain insufficiently characterized in lower-resource settings like Vietnam. Among potential stressors, sexual violence (SV) exposure represents a critical but understudied risk factor. This study evaluated the severity of psychological distress (PD) and post-traumatic stress symptoms (PTSS) among medical students in Northern Vietnam and examined their associations with past-year non-contact and contact SV exposure. Methods: A cross-sectional survey was conducted in May 2025 using REDCap among a probability sample of 555 medical students (years 2 to 5). Mental health outcomes were evaluated using validated instruments: the 21-item Depression, Anxiety, and Stress Scales (DASS-21) for past-week PD and the PTSD Checklist for DSM-5 (PCL-5) for past-month PTSS. Past-year non-contact and contact SV exposures were measured using the Sexual Experiences Survey-Victimization (SES-V). Multivariable linear regression modeled adjusted associations between SV exposure types and mental health symptom severity, testing for sex-specific differences. Results: Overall mental health symptom scores escalated significantly with SV exposure. Median PTSS scores increased from 11 among unexposed students to 20 for non-contact SV and 30 for contact SV (p < 0.001). Similarly, median PD scores increased from 7 (unexposed) to 11.5 (non-contact SV) and 21 (contact SV) (p < 0.001). Adjusted linear models demonstrated robust associations where both non-contact and contact SV exposure were strong independent predictors of heightened PD and PTSS severity, with no significant moderation by sex. In terms of exposure prevalence, 21.26% of students reported non-contact SV (higher in females: 26.24% vs. males: 16.12%) and 10.66% reported contact SV. Conclusions: Vietnamese medical students exposed to sexual violence experience a heavy mental health burden marked by elevated psychological distress and post-traumatic stress symptoms. To protect student mental health in lower resource settings, medical institutions must establish comprehensive trauma-informed psychological support, confidential counseling services, and targeted intervention strategies addressing both contact and non-contact stress exposures. Keywords: psychological distress, post-traumatic stress, non-contact sexual violence, contact sexual violence, university students, Vietnam

Background: For US young adults aged 18-25 in the 2018-2024 period, fentanyl was involved in 78.2% of the 44,020 unintentional or undetermined-intent overdose deaths, most often co-involving stimulants and other non-opioid substances. While fatal overdose rates in this age group have fallen to their lowest recorded level, emergency medical services-attended non-fatal overdose events have reached record highs, shifting the decisive variable toward bystander recognition and response. College students report near-universal alcohol education but minimal education on the substances actually driving overdose mortality. Methods: We conducted a single-group pre-post evaluation of the DopaGE Portal, a gamified, mastery-based digital platform covering cocaine, MDMA, benzodiazepines, and opioid overdose response, deployed at a public university (UNL) and a multi-campus volunteer network (TACO). Paired pre/post surveys (N=42) measured self-efficacy (7 items; primary), behavioral intentions, risk perception, and knowledge/attitudes on 5-point scales, plus four factual knowledge questions. Paired t-tests, exact McNemar tests, and Benjamini-Hochberg correction across eight primary tests were applied. Institutional naloxone distribution at UNL was tracked as an ecological behavioral outcome. A mandated high-school cohort (N=94) provided supplementary acceptability data. Results: Self-efficacy increased from 2.82 to 4.46 (d=2.00, 95% CI 1.46-2.55; adjusted p<.001), and behavioral intentions from 4.24 to 4.81 (d=1.43; adjusted p<.001), with effects statistically indistinguishable across sites. Three of four knowledge items improved significantly (+31 to +41 percentage points). Risk perception was at ceiling at baseline (4.38/5) and did not change. In the two months following deployment, 38 naloxone kits were distributed on campus (limited to one per person from the campus pharmacy and health center) versus 14 in the preceding two years combined; the campus health center had distributed zero kits in 2025 despite stocked availability. Evaluation ratings were uniformly positive across voluntary and mandated cohorts, with zero negative ratings. Conclusions: A digital-only, gamified intervention produced large gains in overdose-response self-efficacy and substance-specific knowledge, with concurrent campus-level naloxone acquisition consistent with behavioral translation. These findings are preliminary -- single-group, modest N, ecological behavioral outcome -- and motivate a future randomized controlled trial.

BACKGROUND Peripheral Artery Disease (PAD) is a leading cause of lower extremity amputation. Health literacy is essential for disease awareness, but PAD awareness remains low, particularly in minoritized populations. The goal of the presented study is to investigate the PAD awareness and media preference for health information in Chinese-speaking communities in California. METHODS Anonymous 14-question surveys in Mandarin and English was designed to gauge basic knowledge of PAD, preferred methods for obtaining health information and general media preferences were collected from health fairs in San Francisco (SF), Oakland, and Los Angeles (LA) in the Chinese-speaking communities. Associations between the above variables and demographics were compared between groups. RESULTS A total of 180 responses included 94 from SF, 57 from Oakland and 29 from LA. PAD awareness was low across all cohorts. LA and SF cohorts shared similar patterns to receive health information as they preferred radio (p = 0.021, SF 49/94 and LA 8/29) while the Oakland cohort favored video/media (p = 0.024, 18/57). SF and LA cohorts showed a stronger preference for newspapers (p = 0.471, SF 32/94 and LA 12/29) and television (p = 0.244, SF 28/94 and LA 12/29), while the Oakland cohort favored video (Oakland 20/57). CONCLUSION To our knowledge, this is the first study to survey multiple US Chinese-speaking communities to assess PAD knowledge and learning preferences. The awareness of PAD among the selected Chinese-speaking communities was dismal and preferred learning methods varied from surveyed communities. Implementing community-based health education strategies will be necessary.

Background: Older adults with vision impairment often experience barriers to using digital technology. The indirect associations between vision impairment and digital access and skills via digital self-efficacy and frustration among older adults remain largely unknown. Objective: This study aimed to 1) explore factors associated with digital access, skills, self-efficacy, and frustration among older adults with vision impairment; 2) examine associations between vision impairment and digital access, skills, self-efficacy, and frustration among older adults; and 3) examine whether digital self-efficacy and frustration may help explain associations between vision impairment and digital access and skills among older adults. Methods: This was a cross-sectional study using nationally representative data from the Health Information National Trends Survey (HINTS) 2024. Respondents aged 60 and older were included. Vision impairment was assessed using a self-reported item. Outcomes included self-reported digital access, skills, self-efficacy, and frustration. Survey-weighted multivariable logistic regression and generalized structural equation modeling were conducted, adjusting for age, sex, race/ethnicity, education, and the number of comorbidities. Results: Among 3,149 older adults (mean [SD] age, 70.7 [10.0] years; 45.6% female), 7.1% (n=223) reported vision impairment. Among older adults with vision impairment, 65.6% (95% CI, 53.5% to 75.9%) used the internet daily, and 79.5% (95% CI, 66.8% to 88.2%) used a smartphone in the past 12 months. In multivariable logistic regression analyses among older adults with vision impairment, older age was associated with lower odds of daily internet use (OR, 0.84; 95% CI, 0.79 to 0.90), smartphone use (OR, 0.85; 95% CI, 0.75 to 0.97), wearable device use (OR, 0.88; 95% CI, 0.79 to 0.97), and using the internet to send a message to a healthcare provider (OR, 0.87; 95% CI, 0.80 to 0.93). Older adults who self-identified as racial and ethnic minority groups (e.g., Black/African American, Hispanic) had lower odds of daily internet use (OR, 0.15; 95% CI, 0.05 to 0.50) and using the internet to send a message to a healthcare provider (OR, 0.17; 95% CI, 0.04 to 0.73) compared with Non-Hispanic White older adults. Vision impairment was associated with lower odds of daily internet use (OR, 0.60; 95% CI, 0.37 to 0.99) and digital self-efficacy (OR, 0.53; 95% CI, 0.32 to 0.86). Digital self-efficacy was associated with higher odds of daily internet use (OR, 2.95; 95% CI, 2.04 to 4.26). Generalized structural equation modeling identified an indirect association between vision impairment and daily internet use via digital self-efficacy (coefficient, -0.68; 95% CI, -1.24 to -0.12). Conclusions: Findings suggest that reduced digital self-efficacy may help explain the observed association between vision impairment and daily internet use among older adults. Interventions targeting digital self-efficacy, including accessible interface designs, personalized coaching, and peer support, may help bridge the digital divide among older adults with vision impairment.

Tobacco control treaties were written for billboards and television, not for the people now selling lifestyles to young Africans. As mobile internet saturates East African cities, social media influencers have become an unmeasured channel, especially when it comes to tobacco promotion. We assessed the prevalence of tobacco use, its association with influencer exposure, and how urban youth interpret that exposure in two capitals with different tobacco laws. We conducted a comparative mixed-methods study among youth aged 18-29 years in Kampala, Uganda, and Nairobi, Kenya (January-August 2025), combining (i) a cross-sectional survey using systematic sampling at youth-dense venues (n=772), (ii) four online focus group discussions (FGDs; n=40), and (iii) content analysis of 30 tobacco-related posts from high-reach influencers (greater than 50,000 followers). We used chi-square tests and multivariable logistic regression, thematic analysis (Braun and Clarke), and descriptive engagement metrics. Ever tobacco use among urban youth in East Africa was 29.3% (226/772), similar in Kampala (30.7%) and Nairobi (28.0%; p=0.409). After adjustment, exposure to influencers promoting tobacco independently predicted ever use (adjusted odds ratio [aOR] 1.90, 95% confidence interval [CI] 1.29-2.82; p=0.001), alongside male sex (aOR 2.35) and age 26-29 years (aOR 1.99). Tertiary education (aOR 0.45) and never seeing tobacco content (aOR 0.26) were protective. Posts framed tobacco as aspirational lifestyle; 77% of sampled comments were positive and 47.5% expressed interest in trying the product. Influencer exposure behaved as a modifiable risk factor of a magnitude comparable to established demographic drivers. Tobacco control in the region must move from print-era advertising bans to platform governance, mandatory disclosure of paid promotion, and youth-led counter-marketing.

Whether diverse populations outside Western settings are behaviourally ready to integrate wearable-derived data into clinical care remains poorly understood. This study examines sociotechnical determinants of wearable adoption and digital health data-sharing readiness in a large, highly diverse multinational population in Qatar, a rapidly digitising health ecosystem with advanced eHealth infrastructure. We conducted a cross-sectional community-based survey of 3,004 adults across Qatar, assessing wearable device use, behavioural engagement, and willingness to integrate wearable-generated data into healthcare workflows. Multivariable logistic regression identified independent predictors of wearable adoption. Wearable device use prevalence was 34.1%. Behavioural factors were the strongest independent predictors of adoption: daily exercisers had more than four times the odds of wearable use compared with rarely active participants, and willingness to share data with healthcare providers was independently associated with adoption after full adjustment. Notably, education level was not independently associated with wearable use, suggesting that behavioural readiness outweighs traditional socioeconomic indicators as a determinant of digital health engagement. Older age ([&ge;]56 years) and African ethnicity were associated with lower adoption odds, highlighting persistent digital inequities. These findings challenge the assumption that digital health equity is primarily an education or access problem, repositioning it as a behavioural engagement challenge. Health systems scaling remote monitoring programmes should prioritise identifying behaviourally engaged subpopulations rather than relying solely on demographic targeting. Targeted digital engagement strategies addressing older adults and underrepresented ethnic groups are essential for equitable implementation of digital medicine.

Background Evidence on factors associated with cannabis for medical purposes (CMP) authorizations among Veterans Affairs Canada (VAC) clients remains limited and inconsistent, particularly concerning mental health and posttraumatic stress disorder (PTSD), a leading indication for use. We investigated demographic, clinical and service characteristics associated with VAC authorizations for CMP reimbursement. Method We linked VAC administrative CMP program data with responses from the 2019 Life After Services Studies cross-sectional survey of Regular Force veterans released between 1998 and 2018. Multivariable logistic regressions examined associations between CMP reimbursement (yes/no) and demographic, clinical and well-being factors, with analyses stratified by PTSD status. Results Among 1,289 respondents (weighted n=33,131), 18.4% were authorized for CMP reimbursement. Younger age (<40 vs. [&ge;]60 years: OR 4.78, 95% CI: 2.24-10.21), unemployment with inability to work vs. employed (OR 3.10, 95% CI: 1.78-5.40), land service vs. air (OR 2.07, 95% CI: 1.22-3.50), PTSD (OR 2.81, 95% CI: 1.69-4.66), anxiety (OR 2.32, 95% CI: 1.45-3.70), and severe pain vs. no pain (OR 3.61, 95% CI: 1.97-6.60) were independently associated with authorization. Unemployment and severe pain were consistent correlates across PTSD strata. Among those without PTSD, younger age, multiple physical conditions, and frequent mental health visits were significant; among those with PTSD, shorter service, witnessing destruction, and suicidal ideation were additional factors. Conclusions CMP authorization patterns among Canadian veterans reflect the intersection of mental health, pain, and functional impairment, with variation by PTSD status. These findings underscore the need for longitudinal research on CMP mechanisms, effectiveness and safety.

Introduction: Nicotine Pouches are increasingly used as a smokeless alternative to cigarettes and other nicotine products, yet their acute cardiovascular effects remain poorly documented. While nicotine's impact on heart rate and electrocardiogram (ECG) parameters is well-documented in smoking, no trials have evaluated these effects specifically for nicotine pouches. Methods: This study is a single-center, double-blind, placebo-controlled, crossover trial which will include 20 healthy adult nicotine users. Participants will undergo three sessions, receiving either a placebo, 6 mg, or 14 mg nicotine pouch in random order. Heart rate obtained by an ECG and various other ECG parameters, vital signs, and subjective symptoms will be measured at baseline, and multiple time points over 30 minutes. Conclusions: This study aims to determine whether nicotine pouches cause acute changes in heart rate, ECG parameters, vital signs, and self-reported symptoms. We hypothesize that higher nicotine pouch does will lead to measurable increases in heart rate and other autonomic effects compared to placebo.

Machine learning (ML) has emerged as a transformative technology across biomedical and life science sectors, with applications spanning drug discovery, medical imaging, genomics, and clinical decision support (Goecks et al., 2020; Patel et al., 2020). Despite exponential growth in ML-related publications, from fewer than 100 articles in 2003 to nearly 25,000 by 2021 (NCBI, 2022), adoption among industry professionals remains uneven and sector-dependent. Understanding what drives or inhibits this adoption is critical for organisations seeking to leverage ML capabilities in research and clinical practice. Technology adoption in organisational contexts has been extensively studied through the Technology Acceptance Model (TAM), originally proposed by Davis (1989) and subsequently extended to incorporate external variables influencing perceived usefulness (PU) and perceived ease of use (PEU) (Venkatesh & Davis, 1996). While TAM has been applied across multiple industries, its application within biomedical and life science contexts remains limited, and the industry-specific factors that shape ML acceptance in this sector have not been systematically examined. Two external variables are particularly relevant to life science professionals. First, the bibliometric journal impact factor (JIF) functions as a cognitive signal of scientific credibility, a sector where evidence-based decision-making is culturally embedded, and publication quality serves as a proxy for technological legitimacy (Garfield, 1996). Second, technology hype, operationalised through the Gartner Hype Cycle framework, represents a social influence variable that shapes organisational expectations and investment decisions around emerging technologies (Gartner Inc., 2018). Whether these variables influence ML acceptance among life science professionals, alongside individual knowledge and experience, has not been empirically tested. This study addresses that gap by investigating ML technology acceptance among 213 biomedical and life science professionals across EMEA, LATAM, and North America, using a cross-sectional quantitative survey and PLS-SEM analysis. The TAM model is extended with three external variables, JIF, technology hype, and prior knowledge and experience, to test their influence on PU and PEU in this specific professional context. Additionally, the study examines demographic and regional differences in ML acceptance, with particular attention to variation between academic researchers and healthcare professionals. The findings contribute a validated, sector-specific extension of TAM for life sciences, provide actionable insights for organisations seeking to accelerate ML implementation, and establish a framework for future subsector-specific research.