Association of opioid or other substance use disorders with health care use among patients with suicidal symptoms.

INTRODUCTION: Prior literature establishes noteworthy relationships between suicidal symptoms and substance use disorders (SUDs), particularly opioid use disorder (OUD). However, engagement with health care services among this vulnerable population remains underinvestigated. This study sought to examine patterns of health care use, identify risk factors in seeking treatment, and assess associations between outpatient service use and emergency department (ED) visits. METHODS: Using electronic health records (EHRs) derived from five health systems across New York City, the study selected 7881 adults with suicidal symptoms (including suicidal ideation, suicide attempt, or self-harm) and SUDs between 2010 and 2019. To examine the association between SUDs (including OUD) and all-cause service use (outpatient, inpatient, and ED), we performed quasi-Poisson regressions adjusted for age, gender, and chronic disease burden, and we estimated the relative risks (RR) of associated factors. Next, the study evaluated cause-specific utilization within each resource category (SUD-related, suicide-related, and other-psychiatric) and compared them using Mann-Whitney U tests. Finally, we used adjusted quasi-Poisson regression models to analyze the association between outpatient and ED utilization among different risk groups. RESULTS: Among patients with suicidal symptoms and SUD diagnoses, relative to other SUDs, a diagnosis of OUD was associated with higher all-cause outpatient visits (RR: 1.22), ED visits (RR: 1.54), and inpatient hospitalizations (RR: 1.67) (ps < 0.001). Men had a lower risk of having outpatient visits (RR: 0.80) and inpatient hospitalizations (RR: 0.90), and older age protected against ED visits (RR range: 0.59-0.69) (ps < 0.001). OUD was associated with increased SUD-related encounters across all settings, and increased suicide-related ED visits and inpatient hospitalizations (p < 0.001). Individuals with more mental health outpatient visits were less likely to have suicide-related ED visits (RR: 0.86, p < 0.01), however this association was not found among younger and male patients with OUD. Although few OUD patients received medications for OUD (MOUD) treatment (9.9 %), methadone composed the majority of MOUD prescriptions (77.7 %), of which over 70 % were prescribed during an ED encounter. CONCLUSIONS: This study reinforces the importance of tailoring SUD and suicide risk interventions to different age groups and types of SUDs, and highlights missed opportunities for deploying screening and prevention resources among the male and OUD populations. Redressing underutilization of MOUD remains a priority to reduce acute health outcomes among younger patients with OUD.

Addressing Antivaccine Sentiment on Public Social Media Forums Through Web-Based Conversations Based on Motivational Interviewing Techniques: Observational Study.

BACKGROUND: Health misinformation shared on social media can have negative health consequences; yet, there is a dearth of field research testing interventions to address health misinformation in real time, digitally, and in situ on social media. OBJECTIVE: We describe a field study of a pilot program of "infodemiologists" trained with evidence-informed intervention techniques heavily influenced by principles of motivational interviewing. Here we provide a detailed description of the nature of infodemiologists' interventions on posts sharing misinformation about COVID-19 vaccines, present an initial evaluation framework for such field research, and use available engagement metrics to quantify the impact of these in-group messengers on the web-based threads on which they are intervening. METHODS: We monitored Facebook (Meta Platforms, Inc) profiles of news organizations marketing to 3 geographic regions (Newark, New Jersey; Chicago, Illinois; and central Texas). Between December 2020 and April 2021, infodemiologists intervened in 145 Facebook news posts that generated comments containing either false or misleading information about vaccines or overt antivaccine sentiment. Engagement (emojis plus replies) data were collected on Facebook news posts, the initial comment containing misinformation (level 1 comment), and the infodemiologist's reply (level 2 reply comment). A comparison-group evaluation design was used, with numbers of replies, emoji reactions, and engagements for level 1 comments compared with the median metrics of matched comments using the Wilcoxon signed rank test. Level 2 reply comments (intervention) were also benchmarked against the corresponding metric of matched reply comments (control) using the Wilcoxon signed rank test (paired at the level 1 comment level). Infodemiologists' level 2 reply comments (intervention) and matched reply comments (control) were further compared using 3 Poisson regression models. RESULTS: In total, 145 interventions were conducted on 132 Facebook news posts. The level 1 comments received a median of 3 replies, 3 reactions, and 7 engagements. The matched comments received a median of 1.5 (median of IQRs 3.75) engagements. Infodemiologists made 322 level 2 reply comments, precipitating 189 emoji reactions and a median of 0.5 (median of IQRs IQR 0) engagements. The matched reply comments received a median of 1 (median of IQRs 2.5) engagement. Compared to matched comments, level 1 comments received more replies, emoji reactions, and engagements. Compared to matched reply comments, level 2 reply comments received fewer and narrower ranges of replies, reactions, and engagements, except for the median comparison for replies. CONCLUSIONS: Overall, empathy-first communication strategies based on motivational interviewing garnered less engagement relative to matched controls. One possible explanation is that our interventions quieted contentious, misinformation-laden threads about vaccines on social media. This work reinforces research on accuracy nudges and cyberbullying interventions that also reduce engagement. More research leveraging field studies of real-time interventions is needed, yet data transparency by technology platforms will be essential to facilitate such experiments.

Effects of Geography on Risk for Future Suicidal Ideation and Attempts Among Children and Youth.

Objective: Geography may influence the relationships of predictors for suicidal ideation (SI) and suicide attempts (SA) in children and youth. Method: This is a nationwide retrospective cohort study of 124,424 individuals less than 25 years of age using commercial claims data (2011-2015) from the Health Care Cost Institute. Outcomes were time to SI or SA within 3 months after the indexed mental health or substance use disorder (MH/SUD) outpatient visit. Predictors included sociodemographic and clinical characteristics up to 3 years before the index event. Results: At each follow-up time period, rates of SI and SA varied by the US geographic division (p < .001), and the Mountain Division consistently had the highest rates for both SI and SA (5.44%-10.26% for SI; 0.70%-2.82% for SA). Having MH emergency department (ED) visits in the past year increased the risk of SI by 28% to 65% for individuals residing in the New England, Mid-Atlantic, East North Central, West North Central, and East South Central Divisions. The main effects of geographic divisions were significant for SA (p<0.001). Risk of SA was lower in New England, Mid-Atlantic, South Atlantic, and Pacific (hazard ratios = 0.57, 0.51, 0.67, and 0.79, respectively) and higher in the Mountain Division (hazard ratio = 1.46). Conclusion: To understand the underlying mechanisms driving the high prevalence of SI and SA in the Mountain Division and the elevated risk of SI after having MH ED visits, future research examining regional differences in risks for SI and SA should include indicators of access to MH ED care and other social determinants of health.

Risk stratification models for predicting preventable hospitalization in commercially insured late middle-aged adults with depression.

BACKGROUND: A significant number of late middle-aged adults with depression have a high illness burden resulting from chronic conditions which put them at high risk of hospitalization. Many late middle-aged adults are covered by commercial health insurance, but such insurance claims have not been used to identify the risk of hospitalization in individuals with depression. In the present study, we developed and validated a non-proprietary model to identify late middle-aged adults with depression at risk for hospitalization, using machine learning methods. METHODS: This retrospective cohort study involved 71,682 commercially insured older adults aged 55-64 years diagnosed with depression. National health insurance claims were used to capture demographics, health care utilization, and health status during the base year. Health status was captured using 70 chronic health conditions, and 46 mental health conditions. The outcomes were 1- and 2-year preventable hospitalization. For each of our two outcomes, we evaluated seven modelling approaches: four prediction models utilized logistic regression with different combinations of predictors to evaluate the relative contribution of each group of variables, and three prediction models utilized machine learning approaches - logistic regression with LASSO penalty, random forests (RF), and gradient boosting machine (GBM). RESULTS: Our predictive model for 1-year hospitalization achieved an AUC of 0.803, with a sensitivity of 72% and a specificity of 76% under the optimum threshold of 0.463, and our predictive model for 2-year hospitalization achieved an AUC of 0.793, with a sensitivity of 76% and a specificity of 71% under the optimum threshold of 0.452. For predicting both 1-year and 2-year risk of preventable hospitalization, our best performing models utilized the machine learning approach of logistic regression with LASSO penalty which outperformed more black-box machine learning models like RF and GBM. CONCLUSIONS: Our study demonstrates the feasibility of identifying depressed middle-aged adults at higher risk of future hospitalization due to burden of chronic illnesses using basic demographic information and diagnosis codes recorded in health insurance claims. Identifying this population may assist health care planners in developing effective screening strategies and management approaches and in efficient allocation of public healthcare resources as this population transitions to publicly funded healthcare programs, e.g., Medicare in the US.

Sharing Clinical Notes while Protecting Adolescent Confidentiality and Maintaining Parental Insight.

BACKGROUND: The 21st Century Cures Act mandates sharing electronic health records (EHRs) with patients. Health care providers must ensure confidential sharing of medical information with adolescents while maintaining parental insight into adolescent health. Given variability in state laws, provider opinions, EHR systems, and technological limitations, consensus on best practices to achieve adolescent clinical note sharing at scale is needed. OBJECTIVES: This study aimed to identify an effective intervention process to implement adolescent clinical note sharing, including ensuring adolescent portal account registration accuracy, across a large multihospital health care system comprising inpatient, emergency, and ambulatory settings. METHODS: A query was built to assess portal account registration accuracy. At a large multihospital health care system, 80.0% of 12- to 17-year-old patient portal accounts were classified as inaccurately registered (IR) under a parent or registration accuracy unknown (RAU). To increase accurately registered (AR) accounts, the following interventions were pursued: (1) distribution of standardized portal enrollment training; (2) patient outreach email campaign to reregister 29,599 portal accounts; (3) restriction of access to remaining IR and RAU accounts. Proxy portal configurations were also optimized. Subsequently, adolescent clinical note sharing was implemented. RESULTS: Distribution of standardized training materials decreased IR and increased AR accounts (p = 0.0492 and 0.0058, respectively). Our email campaign (response rate: 26.8%) was most effective in decreasing IR and RAU accounts and increasing AR accounts (p < 0.002 for all categories). Remaining IR and RAU accounts, 54.6% of adolescent portal accounts, were subsequently restricted. Postrestriction, IR accounts continued declining significantly (p = 0.0056). Proxy portal enhancements with interventions deployed increased proxy portal account adoption. CONCLUSION: A multistep intervention process can be utilized to effectively implement adolescent clinical note sharing at a large scale across care settings. Improvements to EHR technology, portal enrollment training, adolescent/proxy portal settings, detection, and automation in reenrollment of inaccurate portal accounts are needed to maintain integrity of adolescent portal access.

Evidence-based objective performance criteria for the evaluation of hip and knee replacement devices and technologies.

BACKGROUND: Objective performance criteria (OPC) is a novel method to provide minimum performance standards and improve the regulated introduction of original or incremental device innovations in order to prevent patients from being exposed to potentially inferior designs whilst allowing timely access to improvements. We developed 2-year safety and effectiveness OPC for total hip and knee replacement (THR and TKR). METHODS: Analyses of large databases were conducted using various data sources: a systematic literature review; a direct data analysis from The Functional Outcomes Research for Comparative Effectiveness in Total Joint Replacement and Quality Improvement Registry (FORCE-TJR) and the Kaiser Permanente Implant Registry (KPIR); and claims data analyses from longitudinal discharge data in New York and California states. The literature review included U.S. patients (≥18 years) who received THR or TKR for primary end-stage osteoarthritis and prospectively collected data on patient-reported outcome measures (PROMs) from at least 100 subjects and/or 2-year implant survival for at least 250 implants. Random effects models were used for meta-analysis. RESULTS: Data were available from a total of 951 100 patients. After screening of 7979 abstracts, 294 studies underwent full-text review and 31 studies contributed to the evidence synthesis (333 995 implants). Direct data analysis of FORCE-TJR contributed 9223 joint replacement patients to the construction of OPC for effectiveness; KPIR contributed 262 044 patients for the construction of OPC for safety. Claims database analysis contributed 345 838 patients to the construction of safety OPC. OPC for safety were constructed for cumulative incidences of 2-year all-cause and septic revision (THR/TKR 2.0%/1.6% and 0.6%/0.7%), and OPC for effectiveness were constructed based on four disease-specific and three general health-related quality of life PROMs (HOOS/KOOS 87.1/80.6; HSS/KSS function 94.4/90.6; SF-12/SF-36, PCS 46.5/41.9, EQ-5D 0.88/0.84). CONCLUSION: This study is the first to construct a 2-year OPC for the safety and effectiveness of THR and TKR based on U.S. real-world data. Based on these OPC, potential benchmarks for (single-arm study) evaluation of new device innovations are suggested for a regulated and safe introduction to the (commercial) market.

Effects of social deprivation on risk factors for suicidal ideation and suicide attempts in commercially insured US youth and adults.

We used US nationwide commercial insurance claims data (2011-2015) to study the effect of social deprivation on clinical and demographic risk factors for suicidal ideation (SI) and suicide attempts (SA) among US youth and adults < 65 years, after having a mental health or substance use disorder-related outpatient encounter. Neighborhood social deprivation level was summarized by the quintile of social deprivation index (SDI) at individuals' zip code level. Cox proportional hazard models were used to evaluate the effect of social deprivation on demographic and clinical risk factors for SI and SA. The study cohort consisted of 317,383 individuals < 65 years, with 124,424 aged < 25 (youth) and 192,959 aged between 25 and 64 (adults). Neighborhood social deprivation impacted risk factors for SI and SA differently for youth and adults. Among youth, SDI interacted with multiple risk factors for both SI and SA. The effects of the risk factors were larger on youth from middle socioeconomic neighborhoods. Among adults, risk of SI was the strongest in the most deprived neighborhoods, but risk of SA did not vary by neighborhood deprivation level. Our findings suggest community-based suicide prevention initiatives should be tailored according to neighborhood deprivation level and the targeted individual's age to maximize the impact.

Influence of social deprivation index on in-hospital outcomes of COVID-19.

While it is known that social deprivation index (SDI) plays an important role on risk for acquiring Coronavirus Disease 2019 (COVID-19), the impact of SDI on in-hospital outcomes such as intubation and mortality are less well-characterized. We analyzed electronic health record data of adults hospitalized with confirmed COVID-19 between March 1, 2020 and February 8, 2021 from the INSIGHT Clinical Research Network (CRN). To compute the SDI (exposure variable), we linked clinical data using patient's residential zip-code with social data at zip-code tabulation area. SDI is a composite of seven socioeconomic characteristics determinants at the zip-code level. For this analysis, we categorized SDI into quintiles. The two outcomes of interest were in-hospital intubation and mortality. For each outcome, we examined logistic regression and random forests to determine incremental value of SDI in predicting outcomes. We studied 30,016 included COVID-19 patients. In a logistic regression model for intubation, a model including demographics, comorbidity, and vitals had an Area under the receiver operating characteristic curve (AUROC) = 0.73 (95% CI 0.70-0.75); the addition of SDI did not improve prediction [AUROC = 0.73 (95% CI 0.71-0.75)]. In a logistic regression model for in-hospital mortality, demographics, comorbidity, and vitals had an AUROC = 0.80 (95% CI 0.79-0.82); the addition of SDI in Model 2 did not improve prediction [AUROC = 0.81 (95% CI 0.79-0.82)]. Random forests revealed similar findings. SDI did not provide incremental improvement in predicting in-hospital intubation or mortality. SDI plays an important role on who acquires COVID-19 and its severity; but once hospitalized, SDI appears less important.

Human brucellosis and fever of unknown origin.

BACKGROUND: Human brucellosis has become one of the major public health problems in China, and increases atypical manifestations, such as fever of unknown origin (FUO), and misdiagnosis rates has complicated the diagnosis of brucellosis. To date, no relevant study on the relationship between brucellosis and FUO has been conducted. METHODS: We retrospectively reviewed the medical charts of 35 patients with confirmed human brucellosis and prospectively recorded their outcomes by telephone interview. The patients were admitted to the Second Affiliated Hospital of Nanchang University between January 01, 2013 and October 31, 2019. Patient data were collected from hospital medical records. RESULTS: The percentage of males was significantly higher than that of female in FUO (78.95% vs. 21.05%, P < 0.05), and 80% of the patients had a clear history of exposure to cattle and sheep. Moreover, 19 (54%) cases were hospitalized with FUO, among which the patients with epidemiological histories were significantly more than those without (P < 0.05). The incidence of toxic hepatitis in FUO patients was higher than that in non-FUO patients (89% vs. 50%, P < 0.05). Meanwhile, the misdiagnosis rate was considerably higher in the FUO group than in the non-FUO group (100% vs. 63%; P < 0.05). CONCLUSION: Brucellosis is predominantly FUO admission in a non-endemic area of China, accompanied by irregular fever and toxic hepatitis. Careful examination of the epidemiological history and timely improvement of blood and bone marrow cultures can facilitate early diagnosis and prevent misdiagnosis.

Impact of the Gut Microbiome on the Progression of Hepatitis B Virus Related Acute-on-Chronic Liver Failure.

The relationship between the progression of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) and the gut microbiota is poorly understood, and an HBV-ACLF-related microbiome has yet to be identified. In this study alterations in the fecal microbiome of 91 patients with HBV-ACLF (109 stool samples), including a cohort of nine patients at different stages of HBV-ACLF, were determined by high-throughput 16S rDNA sequencing. The operational taxonomic units and Shannon indexes indicated that the diversity and abundance of the gut microbiome significantly decreased with the progression of HBV-ACLF (p <0.05). The relative abundance of the Bacteroidetes phylum in the microbiome was significantly reduced, whereas the abundance of potentially pathogenic bacteria, such as Veilonella, Streptococcus, Enterococcus, and Klebsiella, was highly enriched in the HBV-ACLF group compared with the healthy control group. The abundance of Bacteroidetes was negatively correlated with the level of serum alpha fetoprotein, and the abundance of Veilonella was positively correlated with serum total bilirubin (TBIL). Furthermore, the abundance of Coprococcus was significantly negatively correlated with the level of serum TBIL and the international normalized ratio and positively correlated with prothrombin time activity. Our findings suggest that the gut microbiota plays an important role in the development of HBV-ACLF.

Beyond Activity Space: Detecting Communities in Ecological Networks.

Emerging research suggests that the extent to which activity spaces - the collection of an individual's routine activity locations - overlap provides important information about the functioning of a city and its neighborhoods. To study patterns of overlapping activity spaces, we draw on the notion of an ecological network, a type of two-mode network with the two modes being individuals and the geographic locations where individuals perform routine activities. We describe a method for detecting "ecological communities" within these networks based on shared activity locations among individuals. Specifically, we identify latent activity pattern profiles, which, for each community, summarize its members' probability distribution of going to each location, and community assignment vectors, which, for each individual, summarize his/her probability distribution of belonging to each community. Using data from the Adolescent Health and Development in Context (AHDC) Study, we employ latent Dirichlet allocation (LDA) to identify activity pattern profiles and communities. We then explore differences across neighborhoods in the strength, and within-neighborhood consistency of community assignment. We hypothesize that these aspects of the neighborhood structure of ecological community membership capture meaningful dimensions of neighborhood functioning likely to co-vary with economic and racial composition. We discuss the implications of a focus on ecological communities for the conduct of "neighborhood effects" research more broadly.

Healthcare utilization among patients with psychiatric hospitalization admitted through the emergency department (ED): A claims-based study.

OBJECTIVE: To characterize the US national level healthcare utilization patterns of patients with commercial insurance plans before and after a psychiatric hospitalization admitted through the emergency department (ED) using insurance claims data. METHOD: We identified 34,250 patients from multiple commercial health insurance providers across the US who meet our eligibility criteria. We summarized their healthcare encounters and used logistic regression models to study the patterns of healthcare utilization including prior visits, outpatient follow-ups, and hospital- or ED-readmissions. RESULTS: Suicidal ideation was highly prevalent at the time of the index event (29.88%). Almost half of the patients (48.28%) had healthcare encounters with the same primary diagnosis one year before admission, about 5% had outpatient follow-ups or were readmitted to the hospital or ED 7 days post discharge. The post 30-day follow-ups and readmission rates were slightly higher. In general, older patients were less likely to have prior visits, follow-ups, or readmissions, and patients with SUDs, specifically alcohol dependence, opioid dependence/abuse, and stimulant dependence, were more likely to have outpatient follow-ups. CONCLUSION: Patterns of patients' prior visits, follow-ups, and readmissions varied by demographics and psychiatric comorbidity. Additional studies are needed to further explain the spatial variations of utilization patterns.

lncRNA SNHG7 sponges miR-425 to promote proliferation, migration, and invasion of hepatic carcinoma cells via Wnt/ß-catenin/EMT signalling pathway.

Increasing evidence has indicated the important roles of long noncoding RNA small nucleolar RNA host gene 7 (SNHG7) in tumourigenesis as a potential oncogene. However, the function of SNHG7 in hepatic carcinoma remains unclear. In the present study, we found that SNHG7 expression was significantly upregulated in hepatic carcinoma tissues, especially in aggressive cases, and it was closely correlated with the poor prognosis. Furthermore, knockdown of SNHG7 inhibited the proliferation, migration, and invasion of hepatic carcinoma cell lines in vitro. Mechanistically, SNHG7 directly interacted with miR-425 as a ceRNA. Moreover, knockdown of SNHG7 significantly inhibited the tumorigenic Wnt/ß-catenin/EMT pathway. SNHG7 regulated Wnt/ß-catenin/EMT pathway through sponging miR-425 and played an oncogenic role in hepatic carcinoma progression. Together, our study elucidated the role of SNHG7 as a ceRNA in hepatic carcinoma, provided new potential diagnosis and therapeutic application in hepatic carcinoma progression. SIGNIFICANCE OF THE STUDY: SNHG7 could promote proliferation and metastasis of hepatic carcinoma cell in vitro and in vivo, suggesting that SNHG7 exerts tumorigenic role in hepatic carcinoma progression. Further mechanism research revealed that SNHG7 exhibited the tumorigenic role through Wnt/ß-catenin/EMT pathway as a miR-425 sponge. These findings provided new cues to understand the molecular signalling network in carcinogenesis of hepatic carcinoma, and it may provide new evidence for therapeutic application in hepatic carcinoma.

Exposures to the tobacco retail environment among adolescent boys in urban and rural environments.

BACKGROUND: The tobacco industry spends billions on retail marketing and such marketing is associated with tobacco use. Previous research has not examined actual and potential exposures that adolescents have on a daily basis. OBJECTIVE: The objective of this study was to determine whether both self-reported and geographically estimated tobacco retailer exposures differ by participant or neighborhood characteristics among urban and rural adolescents. METHODS: The data for this study were part of a cohort study of 1220 adolescent males residing in urban and rural (Appalachian) regions in Ohio. The baseline survey asked participants how often they visited stores that typically sell tobacco in the past week (self-reported exposures). The number of tobacco retailers between home and school was determined using ArcGIS software (potential exposures). Adjusted regression models were fit to determine the characteristics that were associated with self-reported or potential exposures to retailers. RESULTS: Adolescents who were non-Hispanic black or other racial/ethnic minority, had used tobacco in the past, and lived in rural areas had higher self-reported exposures. Urban adolescents, non-Hispanic black or other racial/ethnic minority, and those living in neighborhoods with a higher percentage of poverty had more potential exposures to tobacco retailers in their path between home and school. CONCLUSIONS: Rural adolescents had more self-reported marketing exposures than urban adolescents. However, urban adolescents had more potential tobacco exposures between home and school. Thus, point of sale marketing limitations might be a more effective policy intervention in rural areas whereas limits on tobacco retailers might be more effective for urban areas.

Quitting Behaviors Among Dual Cigarette and E-Cigarette Users and Cigarette Smokers Enrolled in the Tobacco User Adult Cohort.

PURPOSE: We examined quitting behaviors among a cohort of dual users (cigarettes and electronic cigarettes [e-cigarettes]) and exclusive cigarette smokers for: (1) cigarette smoking reduction, (2) quit attempts, (3) abstinence from cigarettes, and (4) abstinence from all tobacco products. METHODS: Participants enrolled in the Tobacco User Adult Cohort and categorized as "daily" user of cigarettes and "daily" or "some days per week" use of e-cigarettes (ie, dual users; n = 88) or "daily" user of cigarettes only (ie, cigarette smokers; n = 617) served as the analytic sample. Participants were interviewed face to face every 6 months, through 18 months. Data on self-reported current product(s) used, cessation interest, quit attempts and abstinence from cigarettes, and all tobacco products were collected. RESULTS: No difference in reduction of cigarette consumption over time was noted between groups. Rates of reporting an attempt to quit all tobacco products (≥ 24 hours of not using any tobacco in an attempt to quit) also did not differ by group. Compared to cigarette smokers, dual users were more likely to report abstinence from cigarettes at 6 months (OR = 2.54, p = .045) but not at 12 or 18 months. There was no significant difference in abstinence from all tobacco products by group at 6, 12, or 18 months. CONCLUSIONS: Although dual use of e-cigarettes has been cited as a potential cessation tool for cigarette smokers, our findings indicated that this association was only observed in the short term. We also found no evidence of any association between dual use and eventual abstinence from all tobacco products. IMPLICATIONS: Our study observed that, in the natural environment, dual users of cigarettes and e-cigarettes were more likely than cigarette smokers to quit cigarettes in the short term but no more likely to quit using cigarettes and all tobacco products over time.

The magnitude and impact of tobacco marketing exposure in adolescents' day-to-day lives: An ecological momentary assessment (EMA) study.

PURPOSE: Research indicates that tobacco marketing contributes to higher pro-tobacco attitudes and behaviors among adolescents, but no studies have been able to assess the impact of real-world tobacco marketing exposures in real-time. The purpose of this study was to examine the magnitude and impact of tobacco marketing exposure on adolescents using ecological momentary assessment (EMA). Our primary hypotheses were that (1) youth would most frequently report tobacco marketing at the retail points-of-sale and (2) greater exposures to tobacco marketing would be associated with more favorable tobacco-related attitudes, use, and expectancies. METHODS: Participants were adolescent males from rural and urban Ohio (N = 176, ages 11-16). For ten days, these adolescents were prompted at two-three random times/day to complete a brief smartphone-based survey about their exposures and responses to tobacco-related advertising. RESULTS: Adolescents reported exposures to tobacco marketing an average of 1.9 times over the 10-day EMA period, with over 10% seeing a tobacco advertisement 5 or more times. Reports of marketing exposures occurred most frequently at the point-of-sale; exposures were higher among tobacco users and rural adolescents. Consistent with hypotheses, marketing exposure was related to more positive attitudes to the tobacco advertisements, more tobacco use, and higher expectancies to use in the future. CONCLUSIONS: Overall, these findings signal the magnitude of tobacco marketing exposures and their pernicious impact on youth. Findings underscore the importance of federal, state, and local-level tobacco regulatory policies to protect youth from the marketing that puts them at risk for a lifetime of nicotine addiction and tobacco-related diseases.

Comparison of intent-to-treat analysis strategies for pre-post studies with loss to follow-up.

In pre-post studies when all outcomes are completely observed, previous studies have shown that analysis of covariance (ANCOVA) is more powerful than a change-score analysis in testing the treatment effect. However, there have been few studies comparing power under missing post-test values. This paper was motivated by the Behavior and Exercise for Physical Health Intervention (BePHIT) Study, a pre-post study designed to compare two interventions on postmenopausal women's walk time. The goal of this study was to compare the power of two methods which adhere to the intent-to-treat (ITT) principle when post-test data are missing: ANCOVA after multiple imputation (MI) and the mixed model applied to all-available data (AA). We also compared the two ITT analysis strategies to two methods which do not adhere to ITT principles: complete-case (CC) ANCOVA and the CC mixed model. Comparisons were made through analyses of the BePHIT data and simulation studies conducted under various sample sizes, missingness rates, and missingness scenarios. In the analysis of the BePHIT data, ANCOVA after MI had the smallest p-value for the test of the treatment effect of the four methods. Simulation results demonstrated that the AA mixed model was usually more powerful than ANCOVA after MI. The power of ANCOVA after MI dropped the fastest as the missingness rate increased; in most simulated scenarios, ANCOVA after MI had the smallest power when 50% of the post-test outcomes were missing.

Characteristics of the Tobacco User Adult Cohort in Urban and Rural Ohio.

OBJECTIVES: Identifying characteristics associated with the use of new and emerging tobacco products is a priority. The enumeration and baseline characteristics of a new cohort of adult tobacco users are described. METHODS: Residents, ≥18 years of age, in urban Franklin County, or one of 6 rural Appalachian counties, and who were exclusive users of combustible, smokeless (SLT), or electronic nicotine delivery systems (ENDS) tobacco products, or were dual users, were targeted for recruitment. Participants were interviewed in-person at baseline on sociodemographic characteristics, tobacco product use, and cognitive/affective and purchasing factors. RESULTS: We recruited 1210 participants (urban, N = 595; rural, N = 615). Urban participants were less likely to use tobacco daily, began using tobacco later, used tobacco for less time, and had higher cessation interest. ENDS users were significantly less likely to have made a quit attempt than users of other tobacco products. Duration of tobacco use and nicotine dependence also differed by product type. CONCLUSION: This cohort's enumeration allowed us to compare factors associated with tobacco product preferences and the use of novel products. The inclusion of rural Appalachia-a region with high tobacco use and disease burden-may provide additional insights into the implementation of tobacco control interventions.

The role of travel distance and price promotions in tobacco product purchase quantity.

INTRODUCTION: Rural Americans are particularly vulnerable to tobacco price reducing promotions are known to be directed to and used by vulnerable populations. Tobacco purchasing decisions, such as unit quantity purchased, may vary by rurality, by price promotion use, and possibly by the interaction between the two. Purchase decisions are likely to affect tobacco use behavior. Therefore, explanation of variation in tobacco purchase quantity by factors associated with rural vulnerability and factors that fall under the regulatory scope of the Tobacco Control Act (TCA) of 2009 could be of value to regulatory proposals intended to equitably benefit public health. METHODS: Our sample included 54 combustible tobacco users (298 purchase events) and 27 smokeless tobacco users (112 purchase events), who were asked to report all tobacco purchases on a smartphone application. We used an ecological momentary assessment methodology to collect data about tobacco users' purchasing patterns, including products, quantity purchased, and use of price promotions. A parent cohort study provided relevant data for home-outlet distance calculation and covariates. Our analysis examined associations between our outcome-purchase quantity per purchase event-and distance from participant's home to the nearest outlet, whether a price reducing promotion was used, and the interaction of these two factors. RESULTS: Combustible users showed an increased cigarette pack purchase quantity if they lived further from an outlet and used a price promotion (i.e., an interaction effect; RR = 1.70, 95% CI [1.11, 2.62]). Smokeless users purchased more units of snuff when they used price promotions (RR = 1.81, 95% CI [1.02, 3.20]). CONCLUSIONS: Regulatory action that imposes restrictions on the availability or use of price promotions could alter the purchasing behavior of rural Americans in such a way that makes it easier to reduce tobacco use or quit. Such action would also restrict flexibility in the price of tobacco products, which is known as a powerful tobacco control lever.