A study protocol for the modified interactive screening program plus MINDBODYSTRONG© RCT: A mental health resiliency intervention for nurses.

BACKGROUND: Nurses, the largest workforce in healthcare, are at high risk of depression, anxiety, burnout, and suicidal ideation. Suicide among nurses is higher than the general population. This randomized controlled trial pairs the MINDBODYSTRONG© cognitive-behavioral skills building program with the American Foundation for Suicide Prevention's (AFSP) Modified Interactive Screening Program (mISP) to reduce depression, suicidal ideation, post-traumatic stress, anxiety, and burnout, and improve healthy lifestyle beliefs, healthy lifestyle behaviors, and job satisfaction in nurses with moderate to high risk of suicide. AIMS: This study aims to determine the effects of the mISP combined with the digitized MINDBODYSTRONG© program versus the mISP alone on depression, suicidal ideation, burnout, anxiety, post-traumatic stress, healthy lifestyle beliefs, healthy lifestyle behaviors, and job satisfaction in 364 U.S. nurses. METHODS: A digitized version of MINDBODYSTRONG© combined with the mISP screening and referral platform will be compared to the AFSP mISP alone through a two-arm randomized controlled trial. Follow-up post-intervention data will be collected at week eight and months three, six, and 12. DISCUSSION: If successful, this study's findings could assist nurses who are hesitant to use conventional mental health resources by providing them with confidential aid and learning opportunities to reduce suicidality, depression, anxiety, post-traumatic stress, and burnout and improve healthy lifestyle beliefs, healthy lifestyle behaviors, and job satisfaction. TRIAL/STUDY REGISTRATION: The Ohio State University Protocol Record 2021B0417, Modified Interactive Screening Program Plus MINDBODYSTRONG: A Mental Health Resiliency Intervention for Nurses, is registered and posted at ClinicalTrials.gov Identifier: NCT05582343. First posted date is October 17, 2022.

Support for cigarette filter waste policies among US adults.

INTRODUCTION: Little is known on whether cigarette filter-related knowledge or beliefs are associated with support for policies to reduce their environmental impact. METHODS: A cross-sectional, population-based sample of US adults aged 18-64 years (n=2979) was used to evaluate filter-related knowledge and beliefs by smoking status using data collected between 24 October 2018 and 17 December 2018. Multivariate logistic regression models explored whether these knowledge and belief items were associated with support for two policies, a US$0.75 litter fee and a ban on sales of filtered cigarettes, controlling for demographic characteristics and smoking status. RESULTS: Regardless of smoking status, 71% did not know plastic was a cigarette filter component and 20% believed filters were biodegradable. Overall, 23% believed filters reduce health harms and 60% believed filters make it easier to smoke; 90% believed cigarette butts are harmful to the environment. Individuals believing cigarette butts harmed the environment were more likely to support a litter fee (adjusted OR (aOR)=2.33, 95% CI: 1.71 to 3.17). Individuals believing that filters are not biodegradable had higher odds of supporting a litter fee (OR=1.47, 95% CI: 1.15 to 1.88). Respondents believing that filters do not make cigarettes less harmful were more likely to support a litter fee (aOR=1.50, 95% CI: 1.20 to 1.88) and filter ban (aOR=2.03, 95% CI: 1.64 to 2.50). Belief that filters make it easier to smoke was associated with decreased support for a filter ban (aOR=0.69, 95% CI: 0.58 to 0.83). CONCLUSIONS: Comprehensive efforts are needed to educate the public about the impact of cigarette filters in order to build support for effective tobacco product waste policy.

Trends in mental health indicators among nurses participating in healthy nurse, healthy nation from 2017 to 2021.

BACKGROUND: American healthcare workers face unprecedented stress and trauma in the workplace during COVID-19, putting nurses at increased risk for poor mental health. Examining trends of mental health from before and during COVID-19 can illuminate the toll of the pandemic on nurses well-being. METHODS: Nurses enrolled in Healthy Nurse, Healthy Nation receive a prompt to take an annual survey (n = 24,289). Mental health was assessed by active diagnoses of anxiety and depressive disorder, and feeling sad, down or depressed for two or more weeks in the past year. Logistic regression models were used to calculate predictive probabilities of health outcomes in year 4 (May 1, 2020 - April 30, 2021) compared to years 1-3 (each from May 1 to April 30), controlling for age, sex, race/ethnicity, and nurse type. Models were also stratified by work setting and nurse type. RESULTS: In year 4, nurses had a 19.8% probability of anxiety disorder, significantly higher than year 3 (16.3%, p < .001), year 2 (13.7%, p < .001), and year 1 (14.0%, p < .001). Similarly, nurses had a 16.7% probability of depression disorder in year 4, significantly higher than year 2 (12.9%, p < .001) and year 1 (13.9%, p < .01). Year 4 nurses had a 34.4% probability of feeling sad, down or depressed for two weeks, significantly higher than previous years (year 1 = 26.8%, year 2 = 25.9%, year 3 = 29.7%, p < .001). Trends in probabilities of mental health indicators were similar among each nurse type and work setting. Nurses in medical/surgical work settings and those with licensed practical nurse and licensed vocational nurse titles consistently had the highest probability of poor mental health. LINKING ACTION TO EVIDENCE: In 2020-2021, nurses faced challenges unlike any experienced in previous years. Unsurprisingly, nurses reported increased instances of poor mental health indicators. Positive disruptive strategies are needed to systemically change organizational culture and policy to prioritize and support nurses' well-being.

Associations of e-cigarette industry beliefs and e-cigarette use and susceptibility among youth and young adults in the United States.

BACKGROUND: Anti-industry sentiments are protective against smoking, but the relationship between industry beliefs and e-cigarette use remains unknown. METHODS: A nationally representative survey of U.S. youth and young adults in Fall 2019 (n = 9554) assessed knowledge that e-cigarette and cigarette companies are the same, belief that e-cigarette companies lie about harm, and belief that tobacco companies want young people to vape. Weighted multivariate logistic regression models estimated odds of current use and susceptibility to use (among ever and never users) by industry knowledge and beliefs. Additional models assess association between industry knowledge and industry beliefs. All models controlled for harm perceptions, friend use, sensation seeking, combustible use, and demographic characteristics. RESULTS: Disagreement that companies lie about harm (adjusted odds ratio (aOR)= 1.94, 95% CI: 1.43-2.63) and companies want young people to vape (aOR=1.72, 95% CI: 1.36-2.17) was associated with increased odds of current use. Belief that e-cigarette and cigarette companies were different entities was associated with increased odds of current use (aOR=1.45, 95% CI: 1.12-1.88). Disagreement or not knowing that companies are the same was associated with lower odds of believing companies lie about harm (disagreement aOR=0.37, 95% CI: 0.27-0.52; don't know aOR=0.47, 95% CI: 0.35-0.65) and belief that companies want young people to vape (disagreement aOR=0.36, 95% CI: 0.28-0.46; don't know aOR=0.54, 95% CI: 0.42-0.68). CONCLUSION: Similar to cigarettes, e-cigarette industry beliefs were associated with current use among young people. Highlighting e-cigarettes' connection to Big Tobacco may be an important strategy to prevent youth and young adult e-cigarette use.

Quitting e-cigarettes: Quit attempts and quit intentions among youth and young adults.

While youth and young adult e-cigarette use has risen in the U.S., few studies have explored e-cigarette cessation behavior. This study estimates quit attempts and intentions among young people (aged 15-36) since the rise of high-nicotine products, and examines factors associated with e-cigarette quit attempts and intentions. Current e-cigarette users (past 30-day use, not already quit) were drawn from a national probability-based cohort sample. Data were collected from September to December 2019 (n = 1158). Weighted proportions of past-year quit attempts, intentions to quit in next 30 days, and general intentions to quit (at some point) were calculated. Models estimated cessation outcomes with respect to harm perceptions, friend use, dependence, use frequency, combustible use and demographic factors. Among current e-cigarette users, 54.2% reported general intentions to quit, 15.3% reported intention to quit within 30 days, and 33.3% reported a past-year quit attempt. Past-year quit attempts were associated with higher levels of harm perceptions (adjusted odds ratio (aOR) = 2.08, 95% confidence interval (CI): 1.49-2.92), dependence (aOR = 1.92, 95% CI: 1.44-2.56) and daily use (28 + days) compared to infrequent use (1-5 days) (aOR = 0.23, 95% CI: 0.12-0.43). General intentions to quit were positively associated with harm perceptions (aOR = 1.77, 95% CI: 1.23-2.56) and dependence (aOR = 1.89, 95% CI: 1.41-2.52), and negatively associated with daily use compared to infrequent use (aOR = 0.35, 95% CI: 0.19-0.65). Findings indicate that over half of young e-cigarette users want to quit, highlighting a critical need for policies and resources to promote and sustain e-cigarette cessation among young people.

Smoking cessation among US adults: use of e-cigarettes, including JUUL, and NRT use.

BACKGROUND: Electronic cigarettes (e-cigarettes) are a common tobacco product in the US. Despite lacking Food and Drug Administration (FDA) approval for cessation, e-cigarettes, including JUUL, a popular device, have been viewed by some as a potential tool for tobacco users seeking to quit combustible tobacco use. It is unknown how current and former smokers report using these products for cigarette smoking cessation. METHODS: Online surveys were collected from a probability-based panel of US adults aged 18-64, with an oversample of past 12-month JUUL users (n=3415). Weighted past 12-month and past 30-day use of popular e-cigarette brands were measured. Former smokers with a quit attempt in the past 4 years and current smokers with a quit attempt in the past 12 months were asked about methods for smoking cessation, including e-cigarettes and nicotine replacement therapies (NRTs) use. RESULTS: Among former smokers (n=157), 21.2% used e-cigarettes and/or NRTs to help them quit. Specifically, 2.2% used JUUL only, compared with 10.3% who used NRTs only, and 6.9% used other e-cigarettes only to quit. Among current smokers with a quit attempt (n=308), 24.0% used any product (NRT or e-cigarettes) to quit, and only 1.1% used JUUL only. Current smokers reported relatively low use of NRTs only (10.1%), other e-cigarettes only (5.6%) and other e-cigarettes and NRTs (5.1%). CONCLUSIONS: Data suggest that few smokers in the US use e-cigarettes, and JUUL specifically, for cessation, and NRTs use is relatively low. All e-cigarettes should undergo FDA review to minimise recreational use and understand their cessation efficacy.

Public Support for E-Cigarette-related Policies among a Nationally Representative Sample of US Adults.

BACKGROUND: The wide availability of flavored e-cigarettes and broad use of e-cigarettes in public places may contribute to the rapidly increasing rates of use among youth and young adults in the U.S. However, policies at the federal, state and local levels can address these factors. OBJECTIVE: Assess public support for 5 e-cigarette-related policies and evaluate response patterns by demographics, tobacco use, e-cigarette harm perceptions, geographic region, and strength of state-level clean indoor air policies. METHODS: Data were collected Oct-Dec 2018 from a nationally representative online panel of U.S. adults (n = 3211). We measured support for 5 policies: (1) a ban on the sale flavored e-cigarettes; (2) requiring tobacco products, like e-cigarettes, be kept out of view in stores where adolescents shop; and prohibiting e-cigarette use in (3) all public places; (4) restaurants; and (5) bars. Weighted, adjusted logistic regressions modeled variation in policy support. RESULTS: A majority of respondents (63.3%) supported a flavor ban, with no differences in support by smoking status. Most respondents supported keeping tobacco products out of view (78.0%) and prohibiting e-cigarette use in indoor public places (82.9%), restaurants (86.5%), and bars (76.1%). In the adjusted models, current e-cigarette users had significantly lower odds of policy support compared to never users. We observed no differences in support by geographic region or strength of state-level clean indoor air policies. CONCLUSION: Results suggest high levels of public support to regulate e-cigarette flavors, marketing, and use in public places. Targeted messaging may be needed to increase support among current e-cigarette users.

The availability of retail tobacco near federally qualified healthcare facilities and addiction treatment centers in New York State.

The effectiveness of tobacco control policies that create smoke-free healthcare facilities and encourage the delivery of tobacco dependence treatment may be undermined by the availability of retail tobacco in the surrounding environments. This study examined the availability of retail tobacco in relation to: federally qualified health centers and look-a-like (FQHC/LAL) healthcare facilities (n = 706) as well as substance abuse and addiction treatment centers (n = 953) across New York State (NYS) in 2018. A statewide tobacco retailer density surface using static-bandwidth kernel density estimation was constructed from geocoded licensed tobacco vendors (n = 21,314). For each healthcare facility, tobacco retailer density (retailers per square mile) was extracted from the underlying NYS density surface. Proximity from each healthcare facility to the nearest tobacco vendor was calculated in walkable miles. Across NYS, tobacco retailer density ranged from 0 to 41.02 retailers per square mile. The availability of retailer tobacco near FQHC/LAL healthcare facilities and substance abuse and addiction treatment centers was higher in metropolitan areas than less urban areas as expected. School-based FQHC/LAL healthcare facilities had higher density than all other FQHC/LAL healthcare facilities types (Mean = 20.82 vs. 17.04, p = 0.0042), while opioid abuse and addiction treatment centers had on average higher density (Mean = 20.42 vs. 9.81, p < 0.0001) and closer proximity to a tobacco vendor (Mean = 0.14 vs. 0.36, p < 0.0001) than other substance abuse and addiction treatment centers. State and local tobacco control retailer reduction policies should be considered to reduce the availability of retail tobacco surrounding these facilities.

Electronic Cigarette and JUUL Use Among Adolescents and Young Adults.

Importance: The increasing use rates of electronic cigarettes (e-cigarettes) among young people in the United States have been largely associated with the emergence of high-nicotine-delivery device JUUL. Relevant data are needed to monitor e-cigarette, specifically JUUL, use to help inform intervention efforts. Objective: To estimate the prevalence, patterns, and factors associated over time with e-cigarette use among adolescents and younger adults in the United States. Design, Setting, and Participants: Two nationally representative longitudinal samples of adolescents and younger adults aged 15 to 34 years were drawn from the Truth Longitudinal Cohort, a national, probability-based cohort. Participants in this cohort were recruited through address-based sampling, and subsamples were recruited from a probability-based online panel. The present cohort study used data from follow-up online surveys, specifically, wave 7 (N = 14 379; collected from February 15, 2018, to May 25, 2018) and wave 8 (N = 12 114; collected from February 10, 2019, to May 17, 2019). Respondents reported their use of e-cigarettes, JUUL, and combustible tobacco products as well as their harm perceptions, household smoking status, sensation-seeking, friends' e-cigarette use, and demographic information. Main Outcomes and Measures: The main outcomes were ever and current (past 30 days) JUUL use. χ2 Analyses assessed differences in JUUL use by psychosocial and demographic characteristics. Logistic regression models identified the significant factors associated with wave 8 ever and current JUUL use among wave 7 e-cigarette-naive participants. Results: A total of 14 379 participants (mean [SD] age, 24.3 [0.09] years; 8142 female [51.0%]) were included in wave 7 and 12 114 (mean [SD] age, 24.5 [0.10] years; 6835 female [50.1%]) in wave 8. JUUL use statistically significantly increased from wave 7 to wave 8 among ever users (6.0% [n = 1105] to 13.5% [2111]; P < .001) and current users (3.3% [680] to 6.1% [993]; P < .001). JUUL use increased among every age group and was highest among those aged 18 to 20 years (23.9% [491] ever users and 12.8% [340] current users) and 21 to 24 years (18.1% [360] ever users and 8.2% [207] current users). Users reported a higher prevalence of frequent use in wave 8 compared with wave 7 (37.6% vs 26.1%; P < .01). Significant factors associated with future JUUL use among e-cigarette-naive participants included younger age, combustible tobacco use, lower harm perceptions, sensation seeking, and friends' e-cigarette use. Conclusions and Relevance: This study found that the e-cigarette device JUUL appears to be associated with the youth e-cigarette epidemic, attracting new users and facilitating frequent use with their highly addictive nicotine content and appealing flavors. Findings of this study underscore the critical need for increased e-cigarette product regulation at the federal, state, and local levels.

JUUL in School: Teacher and Administrator Awareness and Policies of E-Cigarettes and JUUL in U.S. Middle and High Schools.

Electronic cigarette (e-cigarette) use, including JUUL, has risen to epidemic levels among high school and middle school students in the United States. Schools serve as a key environment for prevention and intervention efforts to address e-cigarette use, yet little is known about the awareness of and response to e-cigarettes in schools. This national survey of middle and high school teachers and administrators (n = 1,420) measured JUUL awareness, e-cigarette policies, and barriers to enforcement in schools. While two thirds of respondents had heard of a product called JUUL (67.6%), less than half accurately identified a photo of a JUUL as a vaping device/e-cigarette (47.3%). Awareness of JUUL (80.9%) was higher among high school teachers (83.3%) than among middle school teachers (78.3%). A large majority of respondents reported that their school had an e-cigarette policy (82.9%), but less than half of the sample worked in a school with a policy that specifically included JUUL (43.4%). Those working in a school with an e-cigarette policy in place noted that e-cigarettes' discreet appearance (65.6%) and difficulties in identifying origin of vapor or scent (46.1%) made the policy difficult to enforce. Efforts to increase middle and high school staff awareness of the ever-evolving e-cigarette market are essential to help prevent youth use. Adoption and enforcement of policies will be critical to ensure that schools remain tobacco-free spaces.

Smokers' behavioral intentions in response to a low-nicotine cigarette policy.

INTRODUCTION: Evidence suggests that reducing the nicotine concentration in cigarettes to sub-addictive levels would reduce use. Until a low-nicotine cigarette policy is enacted, population-level effects are unknown. This study examines the behavioral intentions of current U.S. cigarette smokers if a low-nicotine policy were implemented. METHODS: Data were drawn from a nationally representative probability-based panel and opt-in panel. Weighted logistic regressions examined likelihood to (1) smoke lower nicotine cigarettes, (2) quit using tobacco, (3) use e-cigarettes, (4) illegally buy high-nicotine cigarettes, and (5) smoke cigars, cigarillos, or little cigars (CLCCs) among smokers, controlling for demographics, tobacco products used, dependence, and intentions to quit cigarettes. Latent class analyses (LCA) characterized patterns of behavioral intentions. RESULTS: If a low-nicotine policy were implemented, most participants indicated a likelihood to smoke low-nicotine cigarettes (78.4%) or quit tobacco (61.9%), followed by use e-cigarettes (46.5%). Individuals with greater dependence had greater odds of intending to smoke low-nicotine cigarettes, use e-cigarettes, and illegally buy high-nicotine cigarettes. Current e-cigarette or CLCCs users had higher odds of intending to use these products. LCA revealed that individuals would 1) use low-nicotine cigarettes with low intentions to use other tobacco products or 2) use multiple tobacco products, including low-nicotine cigarettes. CONCLUSIONS: A reduced nicotine standard for all combustible tobacco products is needed given that many tobacco users would likely intend to continue to use tobacco products. Differences in intentions by tobacco use and demographic characteristics indicate a need for additional cessation support and education around the harms of continued use of combustible tobacco.

Patterns of nicotine concentrations in electronic cigarettes sold in the United States, 2013-2018.

INTRODUCTION: Considerable declines in cigarette smoking have occurred in the U.S. over the past half century. Yet emerging tobacco products, including e-cigarettes, have increased in popularity among U.S. youth and adults in recent years. Nicotine content is an important factor in weighing the potential benefits and risks of e-cigarettes on individual and population level health. This study examined how nicotine concentrations of e-cigarette products sold have changed from 2013 to 2018. METHODS: E-cigarette sales data aggregated in 4-week periods from March 2, 2013 to September 8, 2018 (66 months total) from convenience store and mass market channels were obtained from Nielsen. Internet and vape shop sales were not available. Internet searches were used to supplement information for nicotine concentration and flavor. Products were categorized by nicotine concentration, flavor, type (disposable or rechargeable), and brand. Dollar sales, unit sales, and average nicotine concentration were assessed. RESULTS: During 2013-2018, the average nicotine concentration in e-cigarettes sold increased overall, for all flavor categories, and for rechargeable e-cigarettes. The proportion of total dollar sales comprised of higher nicotine concentration e-cigarettes (>4% mg/mL) increased from 12.3% to 74.7% during 2013-2018, with a similar increase in unit share. Zero-nicotine products accounted for less than 1% of dollar market share across all years analyzed. CONCLUSIONS: E-cigarettes with higher nicotine concentrations comprise a substantial and increasing portion of U.S. e-cigarette sales. Higher nicotine concentrations may influence patterns of e-cigarette use, including harms from e-cigarette initiation among youth and potential health benefits for adult smokers switching completely to e-cigarettes.

Parents' Awareness and Perceptions of JUUL and Other E-Cigarettes.

INTRODUCTION: The purpose of this study is to examine awareness, attitudes, and related knowledge of e-cigarettes, and JUUL specifically, among parents of middle and high school students. METHODS: Data were collected in October-November 2018 from a nationally representative sample of U.S. parents of middle and high school students aged 11-18 years (n=2,885) to examine e-cigarette and JUUL awareness, concern about e-cigarette use, and school communication regarding e-cigarettes. Weighted frequencies and percentages are reported; Rao-Scott chi-square tests examined differences by school level. Data were analyzed in 2019. RESULTS: Although most parents (96.2%) had seen or heard of e-cigarettes, only 55.9% had seen or heard of JUUL, and only 44.2% accurately identified an image of JUUL as a vaping device. Many parents reported concern about adolescent e-cigarette use (60.6%), but fewer reported concern about their own child's use (32.9%). Most parents (73.5%) reported receiving no communication from their child's school about e-cigarettes or JUUL. CONCLUSIONS: There are notable gaps in parents' awareness of JUUL. School-to-parent communication efforts are necessary to build parents' knowledge of e-cigarettes like JUUL to prevent the growing youth uptake of these novel and addictive products.