Ethanolamine metabolism through two genetically distinct loci enables Klebsiella pneumoniae to bypass nutritional competition in the gut.

Successful microbial colonization of the gastrointestinal (GI) tract hinges on an organism's ability to overcome the intense competition for nutrients in the gut between the host and the resident gut microbiome. Enteric pathogens can exploit ethanolamine (EA) in the gut to bypass nutrient competition. However, Klebsiella pneumoniae (K. pneumoniae) is an asymptomatic gut colonizer and, unlike well-studied enteric pathogens, harbors two genetically distinct ethanolamine utilization (eut) loci. Our investigation uncovered unique roles for each eut locus depending on EA utilization as a carbon or nitrogen source. Murine gut colonization studies demonstrated the necessity of both eut loci in the presence of intact gut microbiota for robust GI colonization by K. pneumoniae. Additionally, while some Escherichia coli gut isolates could metabolize EA, other commensals were incapable, suggesting that EA metabolism likely provides K. pneumoniae a selective advantage in gut colonization. Molecular and bioinformatic analyses unveiled the conservation of two eut loci among K. pneumoniae and a subset of the related taxa in the K. pneumoniae species complex, with the NtrC-RpoN regulatory cascade playing a pivotal role in regulation. These findings identify EA metabolism as a critical driver of K. pneumoniae niche establishment in the gut and propose microbial metabolism as a potential therapeutic avenue to combat K. pneumoniae infections.

Impact of Smoking Cessation Motivations and Barriers on Quit Intentions Following a Hypothetical Flavor Ban Among African American/Black Individuals Who Use Menthol Cigarettes: A Mixed-Methods Study.

INTRODUCTION: The Food and Drug Administration (FDA) has proposed banning cigarettes and cigars with characterizing flavors-products used disproportionately by African American/black (AA/B) individuals. Little is known about how AA/B individuals who smoke menthol cigarettes will respond to flavor bans or how to amplify the intended benefits. This study explored predictors of quit intentions following a hypothetical flavor ban and further probed anticipated ban-related responses. AIMS AND METHODS: We recruited 213 AA/B individuals who use menthol cigarettes from Richmond, VA (September 2021-August 2022) for a mixed-methods study. Participants rated seven motivations for quitting and six barriers to quitting (Not a motivation or challenge[1]-Major motivation or challenge[4]), then reported how likely they were to quit smoking if characterizing flavors were banned in cigarettes and cigars. A subsample of 31 participants completed semi-structured interviews to further explore reactions to flavor restriction policies. RESULTS: Multivariable linear regressions suggested that participants who were more motivated to quit smoking because of "information about health hazards" and the "cost of cigarettes" reported higher quit intentions following a hypothetical menthol ban (p < .05). Additionally, those with cessation-related weight concerns reported lower post-ban quit intentions (p < .05). Interview themes highlighted smoking for stress reduction, harm/addiction perceptions of flavored tobacco products, trusted sources of tobacco-related information (including testimonials from people who formerly smoked), potential ban responses, and varying experiences with cessation strategies. CONCLUSIONS: Culturally specific cessation strategies that emphasize the health-related benefits of quitting, particularly those featuring the experiences of people who formerly smoked, may help AA/B individuals who smoke menthol cigarettes quit following a menthol ban. IMPLICATIONS: For the FDA's proposed bans on characterizing flavors in cigarettes and cigars to advance racial health equity, they must maximize cessation among African American/black (AA/B) individuals who use menthol cigarettes. This work suggests information on the health hazards and costs of smoking, as well as concerns over gaining weight, were predictors of quit intentions in a hypothetical flavor ban. Qualitative data suggest messaging highlighting the experiences of individuals who successfully quit may constitute an effective communication strategy. These insights can be used in the development of culturally specific cessation strategies for AA/B individuals who smoke menthol cigarettes.

Perceptions of African American Youth and Adults Regarding Tobacco Use-Related Factors in Their Community: A Mixed-Methods Approach in Richmond, Virginia.

INTRODUCTION: The US Food and Drug Administration is poised to restrict the availability of menthol cigarettes and flavored cigars, products disproportionately used by Black/African American (B/AA) individuals. We examined B/AA youth and adult perceptions regarding factors contributing to tobacco use, as well as prevention/cessation resources. METHODS: In 2 mixed-methods studies in Richmond, Virginia, we conducted cross-sectional surveys among youth (n = 201) and adult (n = 212) individuals who were primarily B/AA and reported past 30-day cigar smoking or nontobacco use, followed by focus groups with a subset (youth: n = 30; adults: n = 24). Focus groups were analyzed using a thematic analysis framework, and descriptive survey data provided context to themes. RESULTS: Among focus group participants, 20% of youth and 75% of adults reported current cigar smoking. Six themes emerged across the groups: advertising/brands, sensory experiences, costs, social factors, youth-related factors, and dependence/cessation. Youth and adults perceived cigars as popular; cigar use was attributed to targeted advertising, flavors, affordability, and accessibility. While adults expressed concern regarding youth tobacco use, youth did not perceive tobacco prevention programs as helpful. Adults and youth reported limited access to community tobacco prevention/cessation programs. DISCUSSION: Expanded tobacco prevention and cessation resources for B/AA people who smoke could leverage federal regulatory actions to ban tobacco products targeted toward this group and decrease disparities in tobacco-related morbidity and mortality.

Patient experiences with outpatient opioid use disorder treatment before and during COVID-19: results from a survey of Medicaid members.

Background: Payers are increasingly interested in quality improvement for opioid use disorder (OUD) treatment, including incorporating patient experiences. Medicaid is the largest payer for OUD treatment, yet we know little about the treatment benefits Medicaid members report, how these vary across members, or changed with the COVID-19 pandemic.Objective: To examine Medicaid members' report of outpatient treatment benefits, employment, and housing outcomes before and during the pandemic.Methods: A representative sample of 1,032 Virginia Medicaid members (52% women) receiving OUD treatment completed a survey of treatment benefits, health status and social needs. A reported treatment benefit index was created based on seven self-reported items. Multivariable linear regression models, pooled and stratified by time (pre-COVID-19/COVID-19), assessed member characteristics associated with reported treatment benefit, employment and housing outcomes.Results: Members reported strong treatment benefit (mean: 21.8 [SD: 5.9] out of 28 points) and improvements in employment (2.4 [1.3] out of 5) and housing (2.8 [1.2] out of 5). After adjustment, mental distress (regression coefficient: -3.00 [95% CI:-3.97;-2.03]), polysubstance use (-1.25 [-1.99;-0.51]), and food insecurity (-1.00 [-1.71;-0.29]), were associated with decreased benefits from treatment. During COVID-19, justice-involved individuals reported decreased benefits (-2.17 [-3.54; -0.80]) compared to before the pandemic (-0.09 [-1.4-;1.24] p < .05).Conclusions: Medicaid members receiving outpatient OUD treatment reported positive treatment benefits, and housing and employment outcomes. However, those with comorbid health and social conditions often benefited the least. As payers move toward quality improvement and value-based purchasing initiatives, collecting and integrating patient reported outcomes into quality metrics is critical.

Prevalence of Testing for Human Immunodeficiency Virus, Hepatitis B Virus, and Hepatitis C Virus Among Medicaid Enrollees Treated With Medications for Opioid Use Disorder in 11 States, 2016-2019.

BACKGROUND: Limited information exists about testing for human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) among Medicaid enrollees after starting medication for opioid use disorder (MOUD), despite guidelines recommending such testing. Our objectives were to estimate testing prevalence and trends for HIV, HBV, and HCV among Medicaid enrollees initiating MOUD and examine enrollee characteristics associated with testing. METHODS: We conducted a serial cross-sectional study of 505 440 initiations of MOUD from 2016 to 2019 among 361 537 Medicaid enrollees in 11 states. Measures of MOUD initiation; HIV, HBV, and HCV testing; comorbidities; and demographics were based on enrollment and claims data. Each state used Poisson regression to estimate associations between enrollee characteristics and testing prevalence within 90 days of MOUD initiation. We pooled state-level estimates to generate global estimates using random effects meta-analyses. RESULTS: From 2016 to 2019, testing increased from 20% to 25% for HIV, from 22% to 25% for HBV, from 24% to 27% for HCV, and from 15% to 19% for all 3 conditions. Adjusted rates of testing for all 3 conditions were lower among enrollees who were male (vs nonpregnant females), living in a rural area (vs urban area), and initiating methadone or naltrexone (vs buprenorphine). Associations between enrollee characteristics and testing varied across states. CONCLUSIONS: Among Medicaid enrollees in 11 US states who initiated medications for opioid use disorder, testing for human immunodeficiency virus, hepatitis B virus, hepatitis C virus, and all 3 conditions increased between 2016 and 2019 but the majority were not tested.

The Association Between Tobacco Retailer Outlet Density and Prevalence of Cigarette Smoking in Virginia.

OBJECTIVE: We examine the association between tobacco retail outlet density and adult smoking prevalence at the county level in Virginia, controlling for spatial autocorrelations. AIMS AND METHODS: Pooling data from 2020 County Health Rankings (compiled data from various sources including, but not limited to, the National Center for Health Statistics-Mortality Files, the Behavioral Risk Factor Surveillance System (BRFSS), and the American Community Survey) and Counter Tools, we conducted regression analyses that accounted for spatial autocorrelation (spatial lag models, LMlag) and adjusted for county-level access to healthcare, demographics, SES, environmental factors, risk conditions or behaviors, and population health measures. RESULTS: Our estimates provide evidence that every increase of one tobacco retail outlet per 1000 persons was associated with 1.16 percentage points (95% CI: 0.80-1.52) higher smoking prevalence at the county level in Virginia after controlling for spatial autocorrelation. The effect of outlet density was largely explained by social determinants of health such as SES, risky conditions or behaviors, and environmental factors. We further noticed that the impact of social determinants of health were closely related and can be explained by indicators of population health (rates of mental distress (ß = 1.49, 95% CI: 1.31-1.67) and physical inactivity (ß = 0.07, 95% CI: 0.04-0.10). CONCLUSIONS: Although higher tobacco outlet density was associated with an increase in county-level smoking prevalence, the impact of outlet density was largely explained by social determinants of health and mental illness. Improving well-being at the community level could be a promising strategy in future tobacco control policies. IMPLICATION: The influence of tobacco outlet density seems to be explained by other social determinants of health and population level of mental or physical health. Thus, efforts to reduce tobacco use and consequent negative health effects should explore the impact of improving regional living standards. However, a sole focus on economic growth may not be sufficient, whereas a focus on such things as promoting work-life balance and improving overall well-being at the community level may be more.

Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts.

BACKGROUND: Social media platforms provide a valuable source of public health information, as one-third of US adults seek specific health information online. Many antitobacco campaigns have recognized such trends among youth and have shifted their advertising time and effort toward digital platforms. Timely evidence is needed to inform the adaptation of antitobacco campaigns to changing social media platforms. OBJECTIVE: In this study, we conducted a content analysis of major antitobacco campaigns on Facebook using machine learning and natural language processing (NLP) methods, as well as a traditional approach, to investigate the factors that may influence effective antismoking information dissemination and user engagement. METHODS: We collected 3515 posts and 28,125 associated comments from 7 large national and local antitobacco campaigns on Facebook between 2018 and 2021, including the Real Cost, Truth, CDC Tobacco Free (formally known as Tips from Former Smokers, where "CDC" refers to the Centers for Disease Control and Prevention), the Tobacco Prevention Toolkit, Behind the Haze VA, the Campaign for Tobacco-Free Kids, and Smoke Free US campaigns. NLP methods were used for content analysis, including parsimonious rule-based models for sentiment analysis and topic modeling. Logistic regression models were fitted to examine the relationship of antismoking message-framing strategies and viewer responses and engagement. RESULTS: We found that large campaigns from government and nonprofit organizations had more user engagements compared to local and smaller campaigns. Facebook users were more likely to engage in negatively framed campaign posts. Negative posts tended to receive more negative comments (odds ratio [OR] 1.40, 95% CI 1.20-1.65). Positively framed posts generated more negative comments (OR 1.41, 95% CI 1.19-1.66) as well as positive comments (OR 1.29, 95% CI 1.13-1.48). Our content analysis and topic modeling uncovered that the most popular campaign posts tended to be informational (ie, providing new information), where the key phrases included talking about harmful chemicals (n=43, 43%) as well as the risk to pets (n=17, 17%). CONCLUSIONS: Facebook users tend to engage more in antitobacco educational campaigns that are framed negatively. The most popular campaign posts are those providing new information, with key phrases and topics discussing harmful chemicals and risks of secondhand smoke for pets. Educational campaign designers can use such insights to increase the reach of antismoking campaigns and promote behavioral changes.

Associations Between Patient-Reported Experiences with Opioid Use Disorder Treatment and Unmet Treatment Needs and Discontinuation Among Virginia Medicaid Members.

BACKGROUND: Many payers, including Medicaid, the largest payer of opioid use disorder (OUD) treatment, are pursuing treatment-related quality improvement initiatives. Yet, how patient-reported experiences with OUD treatment relate to patient-centered outcomes remains poorly understood. AIM: To examine associations between Medicaid members' OUD treatment experiences, outpatient treatment settings, demographic and social factors, and members' self-report of unmet needs during treatment and treatment discontinuation. METHODS: A sample of Virginia Medicaid members aged 21 years or older with OUD diagnoses who received outpatient OUD treatment completed a mail survey between January 2020 and August 2021 (n = 1042, weighted n = 9244). A treatment experience index was constructed from responses to four items from the Consumer Assessment of Healthcare Providers and Systems (CAHPS) relating to feelings of involvement, safety, and respect and having treatment explained in an understandable way; two additional CAHPS items: "given options for treatment" and "able to refuse treatment" were also assessed. Weighted imputed logistic regressions tested adjusted associations between members' treatment experiences, demographic and social factors, and two outcomes capturing unmet needs during treatment and treatment discontinuation. RESULTS: More positive scores on the treatment experiences index were associated with lower adjusted odds of reporting unmet needs during treatment (aOR: 0.52, 95% CI: 0.41-0.66) and discontinuation (aOR: 0.63, 95% CI: 0.47-0.79). Respondents with serious psychological distress had higher odds of reporting unmet needs during treatment (aOR: 1.69 95% CI: 1.14-2.51) and discontinuation (aOR: 1.84, 95% CI: 1.21-2.82), as did individuals with housing insecurity (unmet needs: (aOR: 1.65, 95% CI: 1.11-2.44); treatment discontinuation: (aOR: 1.56, 95% CI: 1.04-2.36)). CONCLUSION: Using a first-of-its-kind survey of Medicaid members with OUD, we found that members who had more positive treatment experiences were less likely to report unmet treatment needs and discontinue treatment. Care approaches focused on improving patient experience are critical to delivering effective, high-quality OUD treatment.

Racial/ethnic differences in the association between menthol cigarette use and mental illness among adults who smoke in the United States.

Data from the National Survey on Drug Use and Health (2012-2018) were used to characterize the association between menthol cigarette use and indicators of Any (AMI) and Serious (SMI) Mental Illness among adults who smoke in the United States. In general, people who smoke menthol cigarettes were more likely to have AMI (aOR = 1.123 [1.063-1.194]) than people who smoke non-menthol cigarettes, but not SMI (aOR = 1.065 [0.966-1.175]). However, among non-Hispanic African American/Black people who smoke, those that used menthol cigarettes had lower adjusted odds of both AMI (aOR = 0.740 [0.572-0.958]) and SMI (aOR = 0.592 [0.390-0.899]) than their counterparts who used non-menthol cigarettes. Results suggest there may be race/ethnicity-specific drivers of the association between menthol cigarette use and mental illness.

Klebsiella pneumoniae l-Fucose Metabolism Promotes Gastrointestinal Colonization and Modulates Its Virulence Determinants.

Colonization of the gastrointestinal (GI) tract by Klebsiella pneumoniae is generally considered asymptomatic. However, gut colonization allows K. pneumoniae to either translocate to sterile site within the same host or transmit through the fecal-oral route to another host. K. pneumoniae gut colonization is poorly understood, but knowledge of this first step toward infection and spread is critical for combatting its disease manifestations. K. pneumoniae must overcome colonization resistance (CR) provided by the host microbiota to establish itself within the gut. One such mechanism of CR is through nutrient competition. Pathogens that metabolize a broad range of substrates have the ability to bypass nutrient competition and overcome CR. Herein, we demonstrate that in response to mucin-derived fucose, the conserved fucose metabolism operon (fuc) of K. pneumoniae is upregulated in the murine gut, and we subsequently show that fucose metabolism promotes robust gut colonization. Growth studies using cecal filtrate as a proxy for the gut lumen illustrate the growth advantage that the fuc operon provides K. pneumoniae. We further show that fucose metabolism allows K. pneumoniae to be competitive with a commensal Escherichia coli isolate (Nissle). However, Nissle is eventually able to outcompete K. pneumoniae, suggesting that it can be utilized to enhance CR. Finally, we observed that fucose metabolism positively modulates hypermucoviscosity, autoaggregation, and biofilm formation but not capsule biogenesis. Together, these insights enhance our understanding of the role of alternative carbon sources in K. pneumoniae gut colonization and the complex relationship between metabolism and virulence in this species.

Design, Implementation, and Evolution of the Medicaid Outcomes Distributed Research Network (MODRN).

BACKGROUND: In the US, Medicaid covers over 80 million Americans. Comparing access, quality, and costs across Medicaid programs can provide policymakers with much-needed information. As each Medicaid agency collects its member data, multiple barriers prevent sharing Medicaid data between states. To address this gap, the Medicaid Outcomes Distributed Research Network (MODRN) developed a research network of states to conduct rapid multi-state analyses without sharing individual-level data across states. OBJECTIVE: To describe goals, design, implementation, and evolution of MODRN to inform other research networks. METHODS: MODRN implemented a distributed research network using a common data model, with each state analyzing its own data; developed standardized measure specifications and statistical software code to conduct analyses; and disseminated findings to state and federal Medicaid policymakers. Based on feedback on Medicaid agency priorities, MODRN first sought to inform Medicaid policy to improve opioid use disorder treatment, particularly medication treatment. RESULTS: Since its 2017 inception, MODRN created 21 opioid use disorder quality measures in 13 states. MODRN modified its common data model over time to include additional elements. Initial barriers included harmonizing utilization data from Medicaid billing codes across states and adapting statistical methods to combine state-level results. The network demonstrated its utility and addressed barriers to conducting multi-state analyses of Medicaid administrative data. CONCLUSIONS: MODRN created a new, scalable, successful model for conducting policy research while complying with federal and state regulations to protect beneficiary health information. Platforms like MODRN may prove useful for emerging health challenges to facilitate evidence-based policymaking in Medicaid programs.

Content appealing to youth and spend characteristics of electronic cigarette video advertisements.

BACKGROUND: The US electronic cigarette (ECIG) market and use behavior continues to rise, warranting investigation of ECIG advertisement (ad) content within media channels frequented by youth including internet and television (TV). In order to inform potential policy regulations, this content analysis sought to assess the prevalence of youth-appealing content and spend characteristics among ECIG video ads. METHODS: Between 2015 and 2016, 46 ECIG video ads were identified using an ad-tracking firm and were coded using the Content Appealing to Youth (CAY) index. Bivariate analyses and analysis of variance were used to compare CAY indices between online and TV ads and by ECIG brands. Ad-specific spend and source information, including website/TV program targeted were examined descriptively. RESULTS: Common youth-appealing features included use of animation (56.5%) and content related to positive sensations (52.2%), promoting mood (34.8%), individuality/freedom (23.9%) and addiction (19.6%). Features not associated with youth appeal also were prevalent. Few differences were observed by media source or ECIG brand. TV ads accounted for the largest spend, and Vuse was the top spending brand. Websites/TV programs were diverse. CONCLUSIONS: Findings support regulatory efforts to restrict the use of youth-appealing content within ECIG ads as well as the reduction of media sources available for ECIG marketing.

Smoking status and racial/ethnic disparities in youth exposure to tobacco advertising.

Tobacco advertising exposure increases tobacco use among youth. Data were from a largely racial and ethnic minority sample (60% non-Hispanic (NH) Black/African American) of youth (13-18 years) who were nonsmokers susceptible to future tobacco use (n = 686) or current cigarette smokers (n = 674). Regression models tested associations between tobacco advertisement exposure and smoking status, and determined demographic correlates. Nearly all youth recalled seeing a tobacco advertisement (98%), which was associated with smoking (OR = 1.12; 95% CI = 1.08-1.15). Racial minority youth had higher exposure to tobacco advertising. Policies restricting advertisements for all tobacco products are essential for prevention efforts and may help decrease tobacco-related health disparities.

Colorectal cancer lifetime risk accuracy and behavior change intentions before and after risk assessment.

PURPOSE: This study examined accuracy of perceived lifetime risk of colorectal cancer prior to and following receipt of cancer risk assessment (CRA) feedback among average risk adults. The specific aims were to identify predictors of improved risk perceptions and assess whether improvement in perceived lifetime risk accuracy was associated with changes in behavioral intentions for physical activity, diet, and colorectal cancer screening. METHODS: Adults with no known history of colorectal cancer (n = 419) were enrolled in a study examining the impact of colorectal cancer risk assessment feedback. Risk perceptions and behavioral intentions were ascertained before and after risk assessment administration. RESULTS: Accuracy of perceived lifetime risk significantly improved after CRA feedback, often as a result of lowered perceived risk. Those who were White, married, attended some college, and had higher numeracy were more likely to report accurate lifetime risk post-CRA. No differences in behavioral intentions were reported between those with and without improved accuracy. CONCLUSION: Minorities and those with low numeracy were less likely to report accurate perceptions post-CRA. Although improved accuracy was not associated with increased behavioral intentions as expected, it is reassuring that intentions for health behaviors were not inhibited as perceived risk decreased.

Perceptions of Tobacco Product-Specific COVID-19 Risk and Changes in Tobacco Use Behaviors Among Smokers, E-Cigarette Users, and Dual Users.

INTRODUCTION: Coronavirus Disease 2019 (COVID-19) is a public health crisis, but its effects on tobacco users remain ill-defined. This report aimed to assess the relationship between tobacco product-specific risk perceptions for COVID-19 and changes in tobacco use since the start of the pandemic. METHODS: A sample (n = 776) of past-30 day exclusive smokers (n = 238), exclusive e-cigarette users (n = 143), and dual users (n = 395) residing in the US and aged 18 or older were collected using Mechanical Turk from April 27 to June 8, 2020. Adjusted associations between tobacco product-specific COVID-19 risk perceptions (ie risk that smokers/vapers are at for COVID-19 relative to non-smokers/non-vapers) and changes in tobacco use since the pandemic began were assessed using partial proportional odds models. RESULTS: A majority of those who used cigarettes (63.7%) and e-cigarettes (56.1%) felt that the risk of COVID-19 was greater for users of their tobacco product than for non-users. Twenty-four percent of smokers had increased their cigarette use since the start of the pandemic and 28.0% had decreased. Similarly, 27.3% of e-cigarette users had increased their e-cigarette use since the start of the pandemic and 23.8% had decreased. Higher risk perceptions for COVID-19 were associated with reductions in tobacco use since the pandemic began for exclusive e-cigarette users and dual users. CONCLUSIONS: These findings provide the support that tobacco product-specific COVID-19 risk perceptions may be an important correlate of changes in tobacco use during the pandemic. Targeted information to inform tobacco users regarding their risks for COVID-19 is needed during this public health crisis. IMPLICATIONS: Few published studies have investigated the relationship between tobacco product-specific risk perceptions for COVID-19 and changes in tobacco product use since the pandemic began. This study enhances the current literature by providing evidence that higher tobacco product-specific risk perceptions for COVID-19 are associated with reductions in tobacco use since the pandemic began for exclusive e-cigarette users and dual users of cigarettes and e-cigarettes. Additionally, daily tobacco users may be more likely to have increased their tobacco use than non-daily users. These findings emphasize the importance of disseminating targeted health information to tobacco users regarding COVID-19 risks.

Health and adverse childhood experiences among homeless youth.

BACKGROUND: Homelessness is associated with health problems and with adverse childhood experiences (ACEs). The risk of chronic health conditions for homeless compared to housed youth, and how this risk interacts with ACEs remains unclear. This study investigated the relationship between ACEs, housing, and child health, and whether: 1) ACEs and health vary by housing context; 2) ACEs and homelessness confer independent health risks; and 3) ACEs interact with housing with regard to adolescent health. METHODS: Using data from 119,254 8th-11th graders, we tested independent and joint effects of ACEs and past-year housing status (housed, family homelessness, unaccompanied homelessness) on overall health and chronic health conditions, controlling for sociodemographic covariates. RESULTS: The prevalence of ACEs varied by housing status, with 34.1% of housed youth experiencing ≥1 ACE vs. 56.3% of family-homeless and 85.5% of unaccompanied-homeless youth. Health status varied similarly. Homelessness and ACEs were independently associated with low overall health and chronic health conditions, after adjusting for covariates. Compared to housed youth, both family-homeless youth and unaccompanied-homeless youth had increased odds of low overall health and chronic physical and/or mental health conditions. All ACE x housing-status interactions were significant (all p < 0.001), such that ACE-related health risks were moderated by housing status. CONCLUSIONS: ACEs and housing status independently predict health status during adolescence beyond other sociodemographic risks. Experiencing homelessness, whether unaccomapnied or with family, is associated with increased health risk, and every additional ACE increases this risk. Clinicians and health systems should advocate for policies that include stable housing as a protective factor.

Lifetime stressors, hair cortisol, and executive function: Age-related associations in childhood.

Extant research is mixed regarding the relations among lifetime exposure to stressors, adrenocortical activity, and executive function (EF), particularly in children. Aggregate measures of adrenocortical activity like hair cortisol concentration (HCC), timing of stress exposure, and age at assessment may clarify these associations. This cross-sectional study examined the association among parent-reported exposure to stressors, hair cortisol concentration (HCC), and children's EF via a tablet task in a community sample (n = 318, 52.5% female) of children across a wide age range (4-13 years, M = 9.4, SD = 2.3). Path analyses revealed that parent-reported child lifetime exposure to stressors, but not past-year stressful life events, negatively predicted HCC. There was also a marginally significant moderation by age such that HCC was associated negatively with EF for younger children (age < 9.7 years) but not older children. HCC did not significantly mediate the association between lifetime exposure to stressors and EF. Findings are consistent with the proposition that chronically high cortisol production has a neurotoxic effect on brain regions supporting EF. However, lifetime exposure to stressors predicted relatively lower cumulative cortisol production, consistent with a stress inoculation effect in this normative-risk sample.

Use of Medications for Treatment of Opioid Use Disorder Among US Medicaid Enrollees in 11 States, 2014-2018.

Importance: There is limited information about trends in the treatment of opioid use disorder (OUD) among Medicaid enrollees. Objective: To examine the use of medications for OUD and potential indicators of quality of care in multiple states. Design, Setting, and Participants: Exploratory serial cross-sectional study of 1 024 301 Medicaid enrollees in 11 states aged 12 through 64 years (not eligible for Medicare) with International Classification of Diseases, Ninth Revision (ICD-9 or ICD-10) codes for OUD from 2014 through 2018. Each state used generalized estimating equations to estimate associations between enrollee characteristics and outcome measure prevalence, subsequently pooled to generate global estimates using random effects meta-analyses. Exposures: Calendar year, demographic characteristics, eligibility groups, and comorbidities. Main Outcomes and Measures: Use of medications for OUD (buprenorphine, methadone, or naltrexone); potential indicators of good quality (OUD medication continuity for 180 days, behavioral health counseling, urine drug tests); potential indicators of poor quality (prescribing of opioid analgesics and benzodiazepines). Results: In 2018, 41.7% of Medicaid enrollees with OUD were aged 21 through 34 years, 51.2% were female, 76.1% were non-Hispanic White, 50.7% were eligible through Medicaid expansion, and 50.6% had other substance use disorders. Prevalence of OUD increased in these 11 states from 3.3% (290 628 of 8 737 082) in 2014 to 5.0% (527 983 of 10 585 790) in 2018. The pooled prevalence of enrollees with OUD receiving medication treatment increased from 47.8% in 2014 (range across states, 35.3% to 74.5%) to 57.1% in 2018 (range, 45.7% to 71.7%). The overall prevalence of enrollees receiving 180 days of continuous medications for OUD did not significantly change from the 2014-2015 to 2017-2018 periods (-0.01 prevalence difference, 95% CI, -0.03 to 0.02) with state variability in trend (90% prediction interval, -0.08 to 0.06). Non-Hispanic Black enrollees had lower OUD medication use than White enrollees (prevalence ratio [PR], 0.72; 95% CI, 0.64 to 0.81; P < .001; 90% prediction interval, 0.52 to 1.00). Pregnant women had higher use of OUD medications (PR, 1.18; 95% CI, 1.11-1.25; P < .001; 90% prediction interval, 1.01-1.38) and medication continuity (PR, 1.14; 95% CI, 1.10-1.17, P < .001; 90% prediction interval, 1.06-1.22) than did other eligibility groups. Conclusions and Relevance: Among US Medicaid enrollees in 11 states, the prevalence of medication use for treatment of opioid use disorder increased from 2014 through 2018. The pattern in other states requires further research.

Identifying adverse childhood experiences in pediatrics to prevent chronic health conditions.

Despite evidence that over 40% of youth in the United States have one or more adverse childhood experiences (ACEs), and that ACEs have cumulative, pernicious effects on lifelong health, few primary care clinicians routinely ask about ACEs. Lack of standardized and accurate clinical assessments for ACEs, combined with no point-of-care biomarkers of the "toxic stress" caused by ACEs, hampers prevention of the health consequences of ACEs. Thus, there is no consensus regarding how to identify, screen, and track ACEs, and whether early identification of toxic stress can prevent disease. In this review, we aim to clarify why, for whom, when, and how to identify ACEs in pediatric clinical care. To do so, we examine the evidence for such identification; describe the efficacy and accuracy of potential screening instruments; discuss current trends in, and potential barriers to, the identification of ACEs and the prevention of downstream effects; and recommend next steps for research, practice, and policy.

Adverse Childhood Experiences and Weight Status among Adolescents.

OBJECTIVE: To investigate the relationship between adverse childhood experiences (ACEs) and weight status among adolescents. STUDY DESIGN: Data were drawn from the Minnesota Student Survey, a large (n = 105 759), statewide, anonymous survey of public school students in eighth, ninth, and eleventh grades. Self-reported height and weight were used to calculate body mass index. Multinomial logistic regression was used to examine associations between self-reported ACEs and weight status, controlling for key sociodemographic characteristics. RESULTS: ACEs were positively associated with weight status; adolescents with more ACEs were more likely to have overweight, obesity, and severe obesity than adolescents with no ACEs. Adolescents who reported an ACE were 1.2, 1.4, and 1.5 times as likely to have overweight, obesity, and severe obesity, respectively, compared with their peers with no ACEs. There was no relationship between ACEs and underweight. CONCLUSIONS: The results of this large sample of adolescents with anonymous data support the hypothesis that ACEs and obesity are strongly associated. The directionality of this relationship needs to be understood. Moreover, these findings suggest that child health professionals may need to screen for ACEs as an important aspect of clinical weight management.