Disposable e-cigarette use: Factors, frequency and cigarette smoking among United States high school students.

BACKGROUND AND AIMS: Disposable e-cigarette use has increased among United States (US) high school students in recent years. However, there is limited research on the profile of these users, how often they use these products, and whether they displace cigarette smoking. This study aimed to measure how disposable e-cigarette use among US youth varies according to demographic characteristics and whether there is any association between e-cigarette use and reduced use of traditional cigarettes. DESIGN: We used cross-sectional data from the 2022 National Youth Tobacco Survey and conducted a multinomial logistic regression to examine factors associated with the types of e-cigarette devices used in the prior 30 days, adjusting for sex, sexual identity, grade level and race/ethnicity. We also used a finite mixture model to account for unobserved differences among users and identify e-cigarette use patterns in different subgroups of users. SETTING: United States. PARTICIPANTS: High school students in grades 9-12 (n = 14 389). MEASUREMENTS: Survey participants self-reported the type of e-cigarette device used, the frequency of e-cigarettes used and cigarettes smoked over the past 30 days. FINDINGS: Disposable e-cigarettes were the most popular e-cigarette type. Sex, sexual orientation, grade level and race/ethnicity were associated with disposable e-cigarette use. The odds of disposable e-cigarette use were lower in male students than in female students (odds ratio [OR] = 0.78, 95% confidence interval [CI] = [0.64-0.96]), and higher in students who identified as gay or lesbian (OR = 1.70, 95% CI = [1.11-2.61]) or bisexual (OR = 1.52, 95% CI = [1.16-1.99]) than in heterosexual students. The odds of disposable use were higher among students in higher grades (10th, 11th and 12th) than in 9th graders (OR = 1.71, 2.24 and 2.52, respectively). Disposable e-cigarette users had a lower frequency of traditional cigarette use than other e-cigarette users, both in the low-frequency class (incidence rate ratio [IRR] = 0.33, 95% CI = [0.12-0.92]) and the high-frequency class (IRR = 0.27, 95% CI = [0.08-0.92]). CONCLUSIONS: Disposable e-cigarette use appears to be higher among United States high school students who are female, older and/or identify as gay, lesbian or bisexual. Disposable e-cigarettes appear to be associated with reduced traditional cigarette use.

Social media use and mental health indicators among US adolescents: A population-based study.

Social media use among young people has raised concerns about its potential impact on mental health. However, research is limited regarding whether certain subgroups may be differently affected. This study uses data from the 2022 National Youth Tobacco Survey, a nationally representative sample of middle and high school students aged approximately 11-18 years (n = 23,366). Mental health conditions were assessed using the Patient Health Questionnaire-4, and social media use was categorized by frequency levels. We employed multinomial logistic regression and a finite mixture Poisson model to explore the relationship between social media use, sexual identity, and mental health status. The study found a consistent association between social media use and mental health conditions, particularly among frequent users. The finite mixture model revealed two latent groups based on mental health status: a 'better' group with minimal or no poor mental health indicators and a 'worse' group with more indicators. For both groups, social media use was associated with mental health conditions, with a stronger association among frequent users. Notably, sexual minorities, especially bisexual students, were more likely to report poor mental health indicators. This study suggests that frequent social media use may adversely affect young people's mental health and that different youth subgroups may respond differently to social media use and mental health conditions.

Beyond the smoke: Historical analysis of the revenue implications of state cigarette tax policies, 1989 to 2019.

INTRODUCTION: While cigarette taxes are a vital tobacco control tool, their impact on cigarette tax revenue has been largely understudied in the extant literature. This study examines how the level of cigarette taxes affects the revenue generated from cigarettes in the United States over a thirty-year period. METHODS: We obtained the Tax Burden Data from the Centers for Disease Control and Prevention (1989-2019). Our dependent variables were gross cigarette tax revenue and per capita gross cigarette tax revenue, and our independent variable was state tax per pack. We used two-way fixed effects to estimate the relationship between state cigarette tax revenue and cigarette taxes, adjusting for state-level sociodemographic characteristics, state-fixed effects, and time trends. RESULTS: The study reveals that raising cigarette state tax by 10 % led to a 7.2 % to 7.5 % increase in cigarette tax revenue. We also found state and regional variation in taxes and revenue, with the Northeast region having the highest taxes per pack and tax revenues. In 2019, most states had low or moderate taxes per pack and tax revenues per capita, while a few states had high taxes per pack and tax revenues per capita. CONCLUSIONS: Our research demonstrates the positive impact of increased cigarette taxes on state tax revenue over three decades. Not only do higher taxes aid in tobacco control, but they also enhance state revenues that can be reinvested in state initiatives. Some states could potentially optimize their tax rates.

Optimization of Electronic Health Record Usability Through a Department-Led Quality Improvement Process.

BACKGROUND: Electronic health records (EHR) have become commonplace in medicine. A disconnect between developers and users while creating the interface often fails to create a product that captures clinical workflow, and issues become apparent with implementation. Optimization allows collaboration of clinicians and informaticists after implementation, but documentation of success has only been at the institutional level. METHODS: A 4-month, department-wide EHR optimization was conducted with information technology (IT). Optimizations were developed from an intensive quality improvement process involving all levels of clinicians and clinical staff. The optimizations were then categorized as accommodations (department adjusted workflow to EHR), creations (IT developed new workflows within EHR), discoveries (department found workflows within EHR), and modifications (IT changed workflows within EHR). Departmental productivity, defined as number of visits, charges, and payments, was standardized to ratios prior to the COVID-19 pandemic and evaluated by Taylor's change point analysis. Significant improvements were defined as shifts (change points), trends (5 or more consecutive values above/below the mean), and values outside 95% CIs. RESULTS: The 124 optimizations were categorized as 43 accommodations, 13 creations, 54 discoveries, and 14 modifications. Productivity ratios of monthly charges (0.74 to 1.28) and payments (0.83 to 1.58) significantly improved with the optimization efforts. Monthly visit ratios increased (0.65 to 0.98) but did not change significantly. CONCLUSION: Departmental collaboration with organizational IT for EHR optimization focused on detailed analysis of how workflows can impact productivity. Discovery optimization predominance indicates many solutions to EHR usability problems were already in the system. A large proportion of accommodation optimizations reinforced the need for better developer-user collaboration before implementation.Annals Early Access.

Nutrition and Isolation in a Rural US Population over 80 Years Old: A Descriptive Analysis of a Vulnerable Population.

Factors allowing rural, community-dwelling 80+ year-olds to thrive remain unexplored. Isolation can impact this vulnerable population. In this study, patients were prospectively surveyed for age, gender, cohabitation (self, spouse, family) and location (suburban, rural, and isolated). Mini-nutritional assessment short form (MNA-SF) and BMI were obtained. A p < 0.05 represented statistical significance. Patients (n = 167) were mostly female (120; 71.9%) with an average overweight BMI (26.5) and low-normal MNA-SF scores (11.8). Most live alone (49.7%), followed by spousal (31.7%) and family (18.6%) cohabitation. Over 80% are rural (71) or rural-isolated (67), and of these, 83% had normal nutrition. Self-habitation correlated with lower MNA-SF scores (p = 0.02). Normal BMIs correlated with family cohabitation (OR = 0.90 [CI: 0.82-0.99]) and nourished MNA-SF scores with spousal cohabitation (OR = 1.69; CI: 1.15-2.47) rather than living alone. Self-habitation increases vulnerability to obesity and malnutrition. Interventions should aim to maintain independence while improving the effects of habitation on nutrition.

Targeted care coordination towards patients with a history of multiple readmissions effectively reduces readmissions.

BACKGROUND: To decrease hospital readmission rates, clinical practices create a transition of care (TOC) process to assess patients and coordinate care postdischarge. As current evidence suggests lack of universal benefit, this study's objectives are to determine what patient and process factors associate with hospital readmissions, as well as construct a model to decrease 30-day readmissions. METHODS: Three months of retrospective discharged patient data (n = 123) were analysed for readmission influences including: patient-specific comorbidities, admission-specific diagnoses, and TOC components. A structured intervention of weekly contact, the Care Coordination Cocoon (CCC), was created for multiply readmitted patients (MRPs), defined as ≥2 readmissions. Three months of postintervention data (n = 141) were analysed. Overall readmission rates and patient- and process-specific characteristics were analysed for associations with hospital readmission. RESULTS: Standard TOC lacked significance. Patient-specific comorbidities of cancer (odds ratio [OR] 6.27; 95% confidence interval [CI] 1.73-22.75) and coronary artery disease (OR 6.71; 95% CI 1.84-24.46), and admission-specific diagnoses within pulmonary system admissions (OR 7.20; 95% CI 1.96-26.41) were associated with readmissions. Post-CCC data demonstrated a 48-h call (OR 0.21; 95% CI 0.09-0.50), answered calls (OR 0.16; CI 0.07-0.38), 14-day scheduled visit (OR 0.20; 95% CI 0.07-0.54), and visit arrival (OR 0.39; 95% CI 0.17-0.91) independently associated with decreased readmission rate. Patient-specific (hypertension-OR 3.65; CI 1.03-12.87) and admission-specific (nephrologic system-OR 3.22; CI 1.02-10.14) factors associated with readmissions which differed from the initial analysis. CONCLUSIONS: Targeting a practice's MRPs with CCC resources improves the association of TOC components with readmissions and rates decreased. This is a more efficient use of TOC resources.

Oxidative stress in children and adolescents with anxiety disorders.

BACKGROUND: Anxiety disorders are common in children and adolescents, and they can significantly impair quality of life. Genetic, neurobiological, neurochemical, and psychological factors are believed to play a role in the etiopathogenesis of anxiety disorders. Recent evidence suggests that the pathophysiology of anxiety disorders may be associated with oxidative stress. In this study, we investigated whether there are associations between children with anxiety disorders and total oxidant/antioxidant status. METHODS: The experimental group consisted of 40 patients (children and adolescents) with anxiety disorders. An age- and gender-matched control group composed of 35 healthy subjects was also assessed. Venous blood samples were collected and total antioxidative status (TAS), total oxidative status (TOS), and the oxidative stress index (OSI) were determined. RESULTS: Both the TOS and the OSI of the experimental group were significantly higher than those of the control group. There were no significant differences in TAS between the experimental and control groups. LIMITATIONS: The main limitation of our study was the small sample size. CONCLUSIONS: This study suggests that oxidative balance is impaired in children with anxiety disorders. Oxidative stress may play a role in the etiopathogenesis of anxiety disorders, and TOS may be a useful diagnostic tool in this context.