Agalactosyl IgG induces liver fibrogenesis via Fc gamma receptor 3a on human hepatic stellate cells.

The relevance of aberrant serum IgG N-glycosylation in liver fibrosis has been identified; however, its causal effect remains unclear. Because hepatic stellate cells (HSCs) contribute substantially to liver fibrosis, we investigated whether and through which mechanisms IgG N-glycosylation affects the fibrogenic properties of HSCs. Analysis of serum IgG1 N-glycome from 151 patients with chronic hepatitis B or liver cirrhosis revealed a positive correlation between Ishak fibrosis grading and IgG1 with agalactosyl N-glycoforms on the crystallizable fragment (Fc). Fc gamma receptor (FcγR) IIIa was observed in cultured human HSCs and HSCs in human liver tissues, and levels of FcγRIIIa in HSCs correlated with the severity of liver fibrosis. Additionally, agalactosyl IgG treatment caused HSCs to have a fibroblast-like morphology, enhanced migration and invasion capabilities, and enhanced expression of the FcγRIIIa downstream tyrosine-protein kinase SYK. Furthermore, agalactosyl IgG treatment increased fibrogenic factors in HSCs, including transforming growth factor (TGF)-ß1, total collagen, platelet-derived growth factor subunit B and its receptors, pro-collagen I-α1, α-smooth muscle actin, and matrix metalloproteinase 9. These effects were more pronounced in HSCs that stably expressed FCGR3A and were reduced in FCGR3A knockout cells. Agalactosyl IgG and TGF-ß1 each increased FCGR3A in HSCs. Furthermore, serum TGF-ß1 concentrations in patients were positively correlated with agalactosyl IgG1 levels and liver fibrosis severity, indicating a positive feedback loop involving agalactosyl IgG, HSC-FcγRIIIa, and TGF-ß1. In conclusion, agalactosyl IgG promotes fibrogenic characteristics in HSCs through FcγRIIIa. © 2024 The Pathological Society of Great Britain and Ireland.

The mediating roles of mental health problems and racial differences in the linkage between social media use and E-cigarette use among American youth.

OBJECTIVE: Social media use is shown to be linked to youth's e-cigarette use. However, less is known about the underlying mechanisms. This study examined the mediating roles of internalizing and externalizing problems in the association between youth's social media use and e-cigarette use, and the racial differences in the mediation association. METHODS: The study sample included 4913 U.S. youth from the Population Assessment of Tobacco and Health Study Waves 3-5 (2015-2019). Two weighted generalized structural equation models were conducted to examine the mediation pathways between youth's social media use (Wave 3) and past-30-day e-cigarette use (Wave 5) through internalizing and externalizing problems (Wave 4), respectively. Invariance tests were conducted to examine racial group differences. RESULTS: Youth with high social media use frequency were more likely to use e-cigarettes (total effect: OR = 1.20, p < 0.001 in both internalizing and externalizing models). Internalizing and externalizing problems mediated the aforementioned associations (mediation proportions: 5.05% and 5.66%, respectively). The invariance tests indicated a significant difference between White and non-White groups (both ps < 0.001), where a larger proportion of mediation was found in the non-White group (12.22% for internalizing and 11.99% for externalizing) compared to their White counterparts (2.46% for internalizing and 3.17% for externalizing). CONCLUSIONS: Mental health problems following social media use served as a risk factor for e-cigarette use among youth. Interventions aiming to improve youth's mental health could in turn temper e-cigarette use among youth social media users, and implementing tailored interventions in response to racial differences is warranted.

Retrospective and Real-time Measures of the Quantity of E-cigarette Use: An Ecological Momentary Assessment Study.

INTRODUCTION: Quantifying e-cigarette use is challenging because of the wide variety of products and the lack of a clear, objective demarcation of a use event. This study aimed to characterize the difference between retrospective and real-time measures of the quantity of e-cigarette use and identify the covariates that may account for discrepancies between the two types of measures. METHODS: This study analyzed data from 401 college student e-cigarette users in Indiana and Texas who responded to a web survey (retrospective) and 7-day ecological momentary assessments (EMA) (real-time) on their e-cigarette use behavior, dependence symptomatology, e-cigarette product characteristics, and use contexts from Fall 2019 to Fall 2021. Generalized linear mixed models were used to model the real-time measures of quantity offset by the retrospective average quantity. RESULTS: Although the number of times using e-cigarettes per day seems to be applicable to both retrospective and real-time measures, the number reported via EMA was 8.5 times the retrospective report. E-cigarette users with higher e-cigarette primary dependence motives tended to report more daily nicotine consumption via EMA than their retrospective reports (ie, perceived average consumption). Other covariates that were associated with discrepancies between real-time and retrospective reports included gender, nicotine concentration, using a menthol- or fruit-flavored product, co-use with alcohol, and being with others when vaping. CONCLUSIONS: The study found extreme under-reporting of e-cigarette consumption on retrospective surveys. Important covariates identified to be associated with higher than average consumption may be considered as potential targets for future vaping interventions. IMPLICATIONS: This is the first study that characterizes the direction and magnitude of the difference between retrospective and real-time measures of the quantity of e-cigarette use among young adults-the population most likely to use e-cigarettes. An average retrospective account of vaping events per day may significantly underestimate e-cigarette use frequency among young adults. The lack of insight into the degree of consumption among users with heavy primary dependence motives illustrates the importance of incorporating self-monitoring into cessation interventions.

Statewide vaping product excise tax policy and use of electronic nicotine delivery systems among US young adults, 2014-2019.

OBJECTIVES: An increasing number of US states have required a tax on electronic nicotine delivery systems (ENDS) in the past few years. This study evaluated the effect of statewide vaping product excise tax policy on ENDS use among young adults. METHODS: We used the two recent waves (2014-2019) of the Tobacco Use Supplement to the Current Population Survey. A total of 17 896 US young adults were analysed. Difference-in-differences approach along with weighted multilevel logistic regressions was used to evaluate the association of vaping product excise tax policy adoption with current ENDS use, accounting for the clustering of respondents within the same states. RESULTS: There was an increase in current ENDS use prevalence from 2014-2015 (3.4%) to 2018-2019 (5.4%). Respondents living in states with vaping product excise tax policy showed significantly lower increase in ENDS use prevalence during the study period (interaction between within-state changes and between-state differences: adjusted OR (AOR)=0.57, 95% CI=0.35 to 0.91), controlling for other state-level policies and sociodemographic characteristics. Additional stratified analysis with state-fixed effects by vaping product excise tax policy implementation status showed consistent findings. CONCLUSIONS: Our findings suggest that adopting a vaping product excise tax policy may help reduce ENDS use and suppress the increase of ENDS use prevalence among young adults. Considering that there are still a number of US states that have not implemented vaping product excise tax policy, wider adoption of such policy across the nation would likely help mitigate ENDS use prevalence.

Characterizing Twitter chatter about temporary alcohol abstinence during "Dry January".

With roots as a public health campaign in the United Kingdom, "Dry January" is a temporary alcohol abstinence initiative encouraging participants to abstain from alcohol use during the month of January. Dry January has become a cultural phenomenon, gaining increasing news media attention and social media engagement. Given the utility of capturing naturalistic discussions around health topics on social media, we examined Twitter chatter about Dry January and associated temporary abstinence experiences. Public tweets were collected containing the search terms "dry january" or "dryjanuary" posted between 15 December and 15 February across 3 years (2020-2). A random subsample stratified by year (n = 3145) was pulled for manual content analysis by trained coders. Final codebook accounted for user sentiment toward Dry January, user account type, and themes related to Dry January participation. Engagement metadata (e.g. likes) were also collected. Though user sentiment was mixed, most tweets expressed positive or neutral sentiment toward Dry January (74.7%). Common themes included encouragement and support for Dry January participation (14.1%), experimentation with and promotion of nonalcoholic drinks (14.0%), and benefits derived from Dry January participation (10.4%). While there is promise in the movement to promote positive alcohol-related behavior change, increased efforts to deliver the campaign within a public health context are needed. Health communication campaigns designed to inform participants about evidence-based treatment and recovery support services proven to help people quit or cut down on their drinking are likely to maximize benefits.

How Does Online e-cigarette Advertisement Promote Youth's e-cigarettes Use? The Mediating Roles of Social Norm and Risk Perceptions.

The adoption of the internet, social media, and e-cigarettes are on the rise among U.S. youth. Uses of social media and online platforms increase the probability for youth to encounter e-cigarette advertisements. Departing from this line of reasoning, we examine the underlying mechanisms of how online e-cigarettes exposure promotes youth's e-cigarette use. Drawing on insights from the social construction of risk model, this study looks at how perceived social norms and risk perception mediate the link between online e-cigarette advertisement exposure and e-cigarette use. Youth aged 12-17 from the Public Assessment of Tobacco and Health (PATH) Study Waves 2-4 (2014-2018) were included (N = 6,067). Controlling for demographic and other known risk factors for e-cigarette use, respondents who had been exposed to online e-cigarette ads at Wave 2 perceived higher levels of positive social norms of e-cigarette use at Wave 3 (ß = 0.13, p < .001) which was associated with lower e-cigarette risk perception at Wave 3 (ß = -0.22, p < .001). Lower e-cigarette risk perception at Wave 3 resulted in a higher likelihood of e-cigarette use at Wave 4 (AOR = 0.51, p < .001). Online e-cigarettes ads exposure at Wave 2 predicted e-cigarette use at Wave 4 (AOR = 1.87, p < .001). The results indicate that norm perception associated with online e-cigarettes ads may twist youth's e-cigarette risk perception that is associated with subsequent usage. Interventions to curb youth's e-cigarette use can target social norms of e-cigarette use and restrict e-cigarette advertisement exposure to youth.

Characteristics of statewide prescription drug monitoring programs and potentially inappropriate opioid prescribing to patients with non-cancer chronic pain: A machine learning application.

Unnecessary/unsafe opioid prescribing has become a major public health concern in the U.S. Statewide prescription drug monitoring programs (PDMPs) with varying characteristics have been implemented to improve safe prescribing practice. Yet, no studies have comprehensively evaluated the effectiveness of PDMP characteristics in reducing opioid-related potentially inappropriate prescribing (PIP) practices. The objective of the study is to apply machine learning methods to evaluate PDMP effectiveness by examining how different PDMP characteristics are associated with opioid-related PIPs for non-cancer chronic pain (NCCP) treatment. This was a retrospective observational study that included 802,926 adult patients who were diagnosed NCCP, obtained opioid prescriptions, and were continuously enrolled in plans of a major U.S. insurer for over a year. Four outcomes of opioid-related PIP practices, including dosage ≥50 MME/day and ≥90 MME/day, days supply ≥7 days, and benzodiazepine-opioid co-prescription were examined. Machine learning models were applied, including logistic regression, least absolute shrinkage and selection operation regression, classification and regression trees, random forests, and gradient boost modeling (GBM). The SHapley Additive exPlanations (SHAP) method was applied to interpret model results. The results show that among 1,886,146 NCCP opioid-related claims, 22.8% had an opioid dosage ≥50 MME/day and 8.9% ≥90 MME/day, 70.3% had days supply ≥7 days, and 10.3% were when benzodiazepine was filled ≤7 days ago. GBM had superior model performance. We identified the most salient PDMP characteristics that predict opioid-related PIPs (e.g., broader access to patient prescription history, monitoring Schedule IV controlled substances), which could be informative to the states considering the redesign of PDMPs.

Home e-cigarette rules and youth's vulnerability to initiate and sustain e-cigarette use.

Existing studies of the impact of home rules on youth's vulnerability to e-cigarette use were based on cross-sectional data, youth or parent reports alone, as well as youth's perceptions and susceptibility. This study capitalizes on the restricted-use data of the Population Assessment of Tobacco and Health (PATH) Study to examine the longitudinal association between home rules for e-cigarette use and youth's vulnerability including initiation of use and regular use two years later. Secondary analysis was conducted on 1203 parent-youth pairs who participated in both Wave 4 (2016-2018) and Wave 5 (2018-2019) assessment of the PATH Study and while the youth were age 12-16 at Wave 4. Linear and logistic regressions were performed to examine the associations between having a strict home rule for e-cigarette use at Wave 4 and the youth's outcomes including perceived social norms, expectancies, susceptibility, initiation of use, and regular use of e-cigarettes at Wave 5, controlling for parent and youth factors. The results show that having a strict home rule for e-cigarette use was associated with youth's heightened level of perceived injunctive norms (ß = 0.22, p < 0.01), higher expectancy of harmfulness (ß = 0.28, p < 0.01) and lower odds for regular e-cigarette use (OR = 0.36, p < 0.05). In conclusion, the findings of this study support the potential protective effects of implementing a strict home rule for e-cigarette use. Future intervention efforts may promote parents' awareness of the potential protective effects of a strict home e-cigarette rule on youth's normative belief, harm expectancy, and behavior of e-cigarette use.

Stealth Vaping Among College Students on Four Geographically Distinct Tobacco-Free College Campuses: Prevalence and Practices.

INTRODUCTION: To offset tobacco use among college students, many universities have implemented tobacco-free campus policies. Given how easily e-cigarette users can discreetly vape in places where it is prohibited without being detected (ie, stealth vape), it is important to assess whether students are subverting these policies. This study examined the prevalence of stealth vaping on-campus among students at multiple universities, including frequency and methods for stealth vaping. AIMS AND METHODS: A convenience sample of college students was obtained from four geographically distinct, large, public universities with established policies prohibiting all forms of tobacco use on campus. Participants (N = 863 current e-cigarette users) reported on demographics and e-cigarette use. Those who previously stealth vaped on-campus (n = 422) completed additional questions, including common locations, techniques, and devices/e-liquids used for stealth vaping. RESULTS: Nearly half (48.9%) of past 30-day e-cigarette users reported previously stealth vaping on-campus. Among stealth vapers, 48.1% owned a smaller device for stealth vaping and 38.9% used e-liquids with low visibility vapors. Common on-campus stealth vaping locations included bathrooms, libraries, parking garages, and classrooms. Techniques used for stealth vaping included deep inhale, blowing a hit into one's clothes, and swallowing a hit. CONCLUSIONS: A large percentage of respondents commonly violated campus tobacco-free policies by stealth vaping. For such policies to be effective at reducing on-campus e-cigarette use, there is a need for enhanced monitoring and enforcement. More research is needed to better understand factors influencing stealth vaping behaviors and public health implications. IMPLICATIONS: This sample of college student e-cigarette users commonly violated campus smoke- and tobacco-free policies by stealth vaping on campus. Respondents used a range of methods (eg, smaller device and low visibility e-liquids) and locations (eg, bathrooms, libraries, and parking garages) for stealth vaping. If campus policies are to be effective at reducing on-campus e-cigarette use, there is a need for enhanced monitoring and enforcement. E-cigarette devices specifically designed and marketed to facilitate stealth vaping (eg, resembling USB flash drives and pens) may require regulatory action. More research is needed to better understand factors influencing stealth vaping behaviors and public health implications.

Using Natural Language Processing to Explore "Dry January" Posts on Twitter: Longitudinal Infodemiology Study.

BACKGROUND: Dry January, a temporary alcohol abstinence campaign, encourages individuals to reflect on their relationship with alcohol by temporarily abstaining from consumption during the month of January. Though Dry January has become a global phenomenon, there has been limited investigation into Dry January participants' experiences. One means through which to gain insights into individuals' Dry January-related experiences is by leveraging large-scale social media data (eg, Twitter chatter) to explore and characterize public discourse concerning Dry January. OBJECTIVE: We sought to answer the following questions: (1) What themes are present within a corpus of tweets about Dry January, and is there consistency in the language used to discuss Dry January across multiple years of tweets (2020-2022)? (2) Do unique themes or patterns emerge in Dry January 2021 tweets after the onset of the COVID-19 pandemic? and (3) What is the association with tweet composition (ie, sentiment and human-authored vs bot-authored) and engagement with Dry January tweets? METHODS: We applied natural language processing techniques to a large sample of tweets (n=222,917) containing the term "dry january" or "dryjanuary" posted from December 15 to February 15 across three separate years of participation (2020-2022). Term frequency inverse document frequency, k-means clustering, and principal component analysis were used for data visualization to identify the optimal number of clusters per year. Once data were visualized, we ran interpretation models to afford within-year (or within-cluster) comparisons. Latent Dirichlet allocation topic modeling was used to examine content within each cluster per given year. Valence Aware Dictionary and Sentiment Reasoner sentiment analysis was used to examine affect per cluster per year. The Botometer automated account check was used to determine average bot score per cluster per year. Last, to assess user engagement with Dry January content, we took the average number of likes and retweets per cluster and ran correlations with other outcome variables of interest. RESULTS: We observed several similar topics per year (eg, Dry January resources, Dry January health benefits, updates related to Dry January progress), suggesting relative consistency in Dry January content over time. Although there was overlap in themes across multiple years of tweets, unique themes related to individuals' experiences with alcohol during the midst of the COVID-19 global pandemic were detected in the corpus of tweets from 2021. Also, tweet composition was associated with engagement, including number of likes, retweets, and quote-tweets per post. Bot-dominant clusters had fewer likes, retweets, or quote tweets compared with human-authored clusters. CONCLUSIONS: The findings underscore the utility for using large-scale social media, such as discussions on Twitter, to study drinking reduction attempts and to monitor the ongoing dynamic needs of persons contemplating, preparing for, or actively pursuing attempts to quit or cut down on their drinking.

Chronic pain and delinquency partially explain the effect of the DRD4 gene polymorphism on adult substance use.

Background: The dopamine receptor D4 [DRD4] has been reported to be associated with substance use. Yet, the roles that health conditions and behaviors may play in such association are understudied.Objective: This longitudinal study investigated the potential mediation effects of chronic pain and delinquency in adolescence on the association between the DRD4 2-repeat allele and substance use in adulthood. Sex, witnessing violence, and experiencing violence were also examined as potential moderators for the mediation pathways.Methods: We used the restricted and candidate gene data from the National Longitudinal Study of Adolescent to Adult Health (Waves I-IV) to conduct secondary analysis (N = 8,671; 47% male). A two-step approach was adopted to examine the mediation effects regarding four substance use outcomes in adulthood: number of lifetime alcohol use disorder symptoms, lifetime regular smoker status, past-month smoking, and lifetime "pain killer" misuse. The moderation effects were investigated using stratification and permutation.Results: The DRD4 2-repeat allele was associated with all adulthood substance use outcomes through adolescent chronic pain and delinquency (AORs/IRR range 1.08-3.78; all ps<0.01). The association between delinquency and smoking was higher among females. The association between delinquency and substance use was lower among the participants who witnessed violence in adolescence.Conclusions: This study identified modifiable mediators underlying the association between the DRD4 2-repeat allele and substance use behaviors, concluding that chronic pain and delinquency partially explain the effect of the DRD4 gene polymorphism on adult substance use.

Association between Inclusion of E-Cigarettes in Statewide Comprehensive Smoke-Free Indoor Air Laws and Vaping Behaviors: Results from a Longitudinal Population Study.

Several states have included e-cigarettes in their comprehensive smoke-free indoor air laws (i.e., aerosol-free policies), prohibiting the use of e-cigarettes--in addition to combustible tobacco products--in workplaces, restaurants, and bars. However, whether these policies contribute to reductions in e-cigarette use remains largely unknown.This study utilized a nationally representative longitudinal sample to examine the association between the implementation of statewide aerosol-free policies and e-cigarette use behaviors. Methods: This longitudinal retrospective study implemented a quasi-experimental design. Waves 1-4 (2013-2018) restricted-use data from adult participants (weighted N = 22,838,787; unweighted N = 8,663) in the Population Assessment of Tobacco and Health (PATH) study were analyzed. The generalized difference-in-difference approach along with weighted hurdle and multinomial logistic regressions were conducted to examine the associations between aerosol-free policies and three measures of e-cigarette use (past 30-day e-cigarette abstinence status and number of use days, and past-12-month use frequency) pre- and post-policy implementation.Results indicated there were not statistically significant differences in e-cigarette use behaviors between participants living in states with and without the aerosol-free policies (ps ranged from 0.301 to 0.831), considering pre- and post-policy implementation.Findings indicated that the effectiveness of the aerosol-free policies on e-cigarette use behaviors was not supported by longitudinal national data. States that have implemented aerosol-free policies should make pertinent efforts to enhance the awareness of these policies and to strengthen their enforcement. Future investigation into e-cigarette use in places where it is prohibited and implications with regard to effectiveness of aerosol-free policies is warranted.

Validating E-Cigarette Dependence Scales Based on Dynamic Patterns of Vaping Behaviors.

INTRODUCTION: Existing e-cigarette dependence scales are mainly validated based on retrospective overall consumption or perception. Further, given that the majority of adult e-cigarette users also use combustible cigarettes, it is important to determine whether e-cigarette dependence scales capture the product-specific dependence. This study fills in the current knowledge gaps by validating e-cigarette dependence scales using novel indices of dynamic patterns of e-cigarette use behaviors and examining the association between dynamic patterns of smoking and e-cigarette dependence among dual users. METHODS: Secondary analysis was conducted on the 2-week ecological momentary assessment data from 116 dual users. The Smoothly Clipped Absolute Deviation penalty (SCAD) was adopted to select important indices for dynamic patterns of consumption or craving and estimate their associations with e-cigarette dependence scales. RESULTS: The fitted linear regression models support the hypothesis that higher e-cigarette dependence is associated with higher levels of e-cigarette consumption and craving as well as lower instability of e-cigarette consumption. Controlling for dynamic patterns of vaping, dual users with lower e-cigarette dependence tend to report higher day-to-day dramatic changes in combustible cigarette consumption but not higher average levels of smoking. CONCLUSIONS: We found that more stable use patterns are related to higher levels of dependence, which has been demonstrated in combustible cigarettes and we have now illustrated in e-cigarettes. Furthermore, the e-cigarette dependence scales may capture the product-specific average consumption but not product-specific instability of consumption. IMPLICATIONS: This study provides empirical support for three e-cigarette dependence measures: PS-ECDI, e-FTCD, and e-WISDM, based on dynamic patterns of e-cigarette consumption and craving revealed by EMA data that have great ecological validity. This is the first study that introduces novel indices of dynamic patterns and demonstrates their potential applications in vaping research.

Perceived racial discrimination on the change of suicide risk among ethnic minorities in the United States.

Objective: Suicide ideation and attempts are serious public health concerns in the U.S. Previous studies focus mainly on individual factors that cause suicide and therefore, it is imperative to examine the impact of the environment on the onset of suicide risk. This study explored the effects of perceived race/ethnicity-based discrimination (PD; perceived institutional discrimination and perceived interpersonal discrimination) on the change in suicidal thoughts and attempts among racial/ethnic minority (REM) participants at risk for depression over time using a longitudinal nationally representative dataset.Design and methods: The sample consisted a total of 1,253 REM participants from the National Epidemiologic Survey on Alcohol and Related Conditions Wave 1 and 2 datasets. Participants were categorized into three conditions: (1) no suicidal thoughts/attempts at Wave 1, who were at risk for onset of suicidal thoughts at Wave 2, (2) no suicidal thoughts/attempts at Wave 1, who were at risk for onset of both suicidal thoughts and attempts at Wave 2, and (3) had suicidal thoughts but no attempts at Wave 1, who were at risk for initiating suicidal attempt at Wave 2. Three logistic regressions were performed to examine the associations between PD and the three suicidal conditions, controlling for sociodemographic factors.Results: Regression results showed that perceived institutional discrimination predicted onset of suicidal thoughts for Condition 1 (OR = 1.67, 95% CI:1.05-2.66) and initiation of suicidal attempts for Condition 2 (OR = 2.67, 95% CI:1.30-5.48), whereas perceived interpersonal discrimination predicted onset of suicidal thoughts and attempts for Condition 1 (OR = 2.34, 95% CI:1.17-4.66).Conclusions: PD may have detrimental effects on suicidal behaviors among REM individuals with depressive symptoms. Development of suicide prevention programs needs to take into account PD and be specific for different at-risk groups. This also foregrounds the importance of promoting anti-discrimination policies/programs as a suicide preventive intervention for REM individuals with depressive symptoms.

Resilience as a Mediator between Adverse Childhood Experiences and Prescription Opioid Misuse among U.S. Adults.

BACKGROUND:: Studies have shown some linkage between adverse childhood experiences (ACEs) and prescription opioid misuse. While preventable, once an individual is exposed to ACEs, they can have irreparable health impacts. Resilience could have protective effects on preventing those with ACEs from adulthood health-risk behaviors. Objectives: To examine how resilience mediates the association between ACEs and adulthood prescription opioid misuse among U.S. adults. Methods: Adult respondents (n = 33,613) from the National Epidemiologic Survey on Alcohol and Related Conditions-III (2012-2013) were included. A count of ten types of ACEs constituted the ACE score (range: 0-10). A latent variable was created to measure resilience based on the Connor-Davidson Resilience Scale. Generalized structural equation modeling (GSEM) was utilized to conduct the mediation analysis. The Problem Behavior Theory was used to guide covariate selection. Results: The GSEM measurement model estimated the latent variable resilience and determined that tolerance of negative effects, self-control, acceptance of change, and spiritual influence were all associated with resilience, holding personal competence constrained for estimation purposes. Respondents with a higher ACE score were more likely to misuse prescription opioids in the past year (OR = 1.08; p < 0.01), where 40.8% of the association was mediated by resilience (indirect effect OR = 1.06). Conclusion: Reducing prescription opioid misuse is an essential step in alleviating the current opioid epidemic. Findings suggested that resilience mediated the relationship between ACEs and adulthood prescription opioid misuse. To prevent adults with ACEs from misusing prescription opioids, interventions designed to address ACEs' impact should include behavioral and educational components for enhancing the priority dimensions of resilience.

Rural-urban disparities in smoking patterns among Chinese adults: a social-ecological approach.

China has a long history of smoking behavior. Currently, nearly 26% of Chinese citizens smoke daily. This research used a nationally representative database to study the urban and rural disparities on smoking patterns applying the social-ecological model. Using the 2011 China Health and Nutrition Survey, the study sample included adult participants who were at least 18 years of age (n = 12,688). A subanalysis was carried out to investigate smoking cessation duration among smoking quitters (n = 519). Multinomial logistic regression was used to examine participants' smoking status. Zero-inflated negative binomial regression was applied to investigate participants' number of cigarettes smoked per day, and multivariable logistic regression was used to examine nondaily smoking behavior. Negative binomial regression was carried out to assess the duration of smoking cessation for individuals who quit smoking. Urban residents had lower odds of reporting current smoking status (AOR [adjusted odds ratio] = 0.83, 95% CI [0.74, 0.95]) as compared to rural residents. Urban residents also had higher odds of reporting nondaily smoking status (AOR = 1.17, 95% CI [1.04, 1.32]) and smoked fewer cigarettes per day (IRR [incidence rate ratio] = 0.93, 95% CI [0.89, 0.98]) as compared to rural participants. The disparity between urban and rural areas was not observed for smoking cessation duration. Further efforts should target the disparity between urban and rural regions regarding smoking prevention.

Adverse childhood experiences, internalizing/externalizing symptoms, and associated prescription opioid misuse: A mediation analysis.

Adverse childhood experiences (ACEs) are associated with mental health and substance use problems, but lesser known is how they interconnect. The objective of this study was to examine how internalizing and externalizing symptoms mediate the association of ACEs with prescription opioid misuse in order to understand how ACEs interconnect with mental health and substance use problems. Adults aged 18 or older from the National Epidemiological Survey on Alcohol and Related Conditions Wave 3 (NESARC-III) conducted in 2012-2013 were included (N = 36,309). The prescription opioid misuse outcomes examined include prescription opioid misuse status, early-onset status of prescription opioid misuse, frequency of past-year prescription opioid misuse, and opioid use disorder. A natural effect model and regression analyses were used to conduct the mediation analyses. We found that respondents with higher ACE scores had greater odds of reporting past-year and lifetime prescription opioid misuse and DSM-V-diagnosed opioid use disorder as well as early onset of prescription opioid misuse (AORs range from 1.06 to 1.12). These associations are partially mediated by internalizing and externalizing symptoms. The findings suggest that internalizing and externalizing symptoms may be potential pathways through which ACEs are associated with prescription opioid misuse. Our results underscore the importance of preventing ACEs and reducing risk for internalizing and externalizing symptoms after exposure, which may reduce later prescription opioid misuse.

Assessing the Associations between Religiosity and Alcohol Use Stages in a Representative U.S. Sample.

Background: Problematic alcohol drinking has been a public health concern in the United States. Studies showed that religiosity serves as a protective factor, delaying the onset of alcohol use, and reducing the frequency of drinking. Few studies, however, have examined these associations with large, nationally representative samples, and even fewer have assessed the impact of religiosity on drinking behavior transitions/changes. Objectives: This study examined a national adult sample to investigate the associations between religiosity and alcohol use stages including initiation, reinitiation, and persistence of alcohol use. Methods: Data from the National Epidemiologic Survey of Alcohol and Related Conditions Waves 1-2 were used. Wave 1 sample included 6113 nondrinkers, 6189 prior drinkers, and 21,950 current drinkers who were at risk for initiation, reinitiation, and persistent use of alcohol, respectively. Religiosity constructs included importance of religious and frequency of practice. Three logistic regressions examined the aforementioned associations. Results: Compared to those not attending religious services, the most frequent attenders exhibited lower odds of initiating alcohol use, reinitiation after prior use, and persistent drinking (ORs = 0.23, 0.51, 0.55, respectively; ps < .01). Those identifying religious beliefs as very important exhibited lower odds of initiation and reinitiation of alcohol use (both ORs = 0.63, ps < .05). Conclusions: Religiosity plays an important role in preventing/delaying alcohol use initiation, reinitiation, and persistence. Incorporating religiosity aspects (e.g. meditation) into alcohol prevention and control programs may serve to increase protective effects. Future studies should seek to delineate what religiosity factors can be leveraged and embedded into secular prevention programs delivered to youth and adolescents.

Aggressive-Depressive Trajectories in Childhood and Their Associations with Drinking Behaviors and Problems in Adolescence and Emerging Adulthood.

Research indicates that externalizing and internalizing pathways emanated in childhood are connected to later drinking behaviors; however, no study has investigated the contemporaneous effects of the two pathways using a person-centered approach that categorizes individuals based on their various developmental patterns. This study examined the distinct patterns of concurrent development of aggression and depressive symptoms in childhood and their associations with later drinking behaviors using data from a 15-year Taiwanese cohort since age 8 (N = 2854, 49% females). Group-based multi-trajectory modeling identified four aggressive-depressive trajectory groups: Moderate, Aggressive, Depressive, and Comorbid, which manifested a sequential risk gradient in alcohol use. Comorbid group, characterized by persistently high levels of aggression and depressive symptoms, has the highest levels of alcohol use and drinking problems and the earliest onset of drinking. Aggressive and Depressive groups have higher levels of alcohol use and earlier onset of drinking than Moderate group. These findings imply the importance of monitoring aggression and depressive symptoms simultaneously and continually in childhood to prevent later drinking.

Effectiveness of Indiana's Statewide Smoke-Free Indoor Air Law in Reducing Prevalence of Adult Cigarette Smoking.

Indiana recently implemented a statewide smoke-free indoor air law that has prohibited smoking in both restaurants and non-hospitality workplaces. Evidence for the effectiveness of the recent statewide smoke-free indoor law may persuade 14 states that do not have any statewide smoke-free laws to enact such laws. We evaluated the effectiveness of Indiana's State Smoke-Free Air Law, implemented July 2012, in reducing adult smoking prevalence. We analyzed samples of U.S. adults using a nonequivalent control group design with multi-year, cross-sectional data from the 2011-2016 Behavioral Risk Factor Surveillance System ( N= 2,259,014). Four state groups with different levels of comprehensiveness in regard to statewide smoke-free indoor air laws in 2011-2016 served as the comparison groups, namely those with: (1) no law; (2) a partial law (prohibiting smoking in either one or two of these three settings, namely non-hospitality workplaces, restaurants, and bars); (3) a comprehensive law (prohibiting smoking in all non-hospitality workplaces, restaurants, and bars); and (4) those that changed from a partial to a comprehensive law. We used a difference-in-differences approach with multiple logistic regressions to assess the net effect of the policy with a secular trend removed. The decline rate of cigarette smoking in Indiana was steeper, from 21.2% in 2011-2012 to 17.8% in 2013-2016, than in states in our four comparison groups, which suggests a significant reduction in adult cigarette smoking prevalence above and beyond the downward secular trend observed. All the comparison groups showed higher odds of cigarette smoking than Indiana (adjusted odds ratios range from 1.08 to 1.16). Although a long-term effect of Indiana's State Smoke-Free Air Law has yet to be evaluated, current data indicate that such a policy appears to be effective in reducing smoking prevalence. The implementation of statewide smoke-free indoor air laws in all restaurants and non-hospitality workplaces may help reduce smoking rates in the 14 states that still do not have any statewide smoke-free indoor air laws.