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.

Variation in Relative Risk Perceptions and Tobacco Use by Race and Socioeconomic Status among Older Adults who Smoke: Evidence from the Population Assessment of Tobacco and Health (PATH) Study.

INTRODUCTION: Older adults who smoke face significant risk of tobacco-related disease and hold misperceptions about health risks posed by nicotine product use. This study examined whether socioeconomic status and race are associated with variation in cigarette/e-cigarette relative risk perceptions, whether relative risk perceptions are associated with tobacco use behaviors, and whether socioeconomic status and race moderate associations between perceptions and use behaviors. METHODS: Five waves of PATH Study yielded data from 1,879 adults >55 who smoked within the past 30 days during Wave 1. Adjusted longitudinal logistic models estimated associations between higher vs. lower SES ("low-SES": less than high school diploma/GED. and annual household income<$25,000) and race (White vs. Black/African American; AA) and e-cigarette/cigarette relative risk perceptions, behavioral intentions, and e-cigarette use. RESULTS: Lower-SES adults were more likely to report e-cigarettes were very/extremely harmful to health (AOR: 1.74, p<0.01) and less likely to report e-cigarettes were less harmful than cigarettes (AOR: 0.65, p<0.01). Black/AA adults were less likely to report that e-cigarettes were less harmful than cigarettes. Participants rating e-cigarettes as equally/more harmful than cigarettes exhibited lower odds of intending to quit smoking or switch to e-cigarettes. Finally, Black/AA adults who also perceived e-cigarettes equally/more harmful than cigarettes exhibited greater odds of trying to reduce rather than quit smoking (AOR: 1.58, p=0.02). CONCLUSIONS: Many older adults who smoke perceive e-cigarettes as equally or more harmful than cigarettes, particularly low-SES and Black/AA older adults. Differences in relative risk perceptions among high priority populations could negatively influence cessation attempts and switching behaviors. IMPLICATIONS: This study found that Black/AA and low-SES older adults who smoke cigarettes were more likely to perceive e-cigarettes as harmful or more harmful than cigarettes. The absence of accurate, evidence-based information regarding the relative health risks associated with the long-term use of various tobacco products may impede policy efforts to reduce disparities in smoking-related disease through increased cessation and/or harm reduction.

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.

Public Response to Federal Electronic Cigarette Regulations Analyzed Using Social Media Data Through Natural Language Processing: Topic Modeling Study.

BACKGROUND: e-Cigarette (electronic cigarette) use has been a public health issue in the United States. On June 23, 2022, the US Food and Drug Administration (FDA) issued marketing denial orders (MDOs) to Juul Labs Inc for all their products currently marketed in the United States. However, one day later, on June 24, 2022, a federal appeals court granted a temporary reprieve to Juul Labs that allowed it to keep its e-cigarettes on the market. As the conversation around Juul continues to evolve, it is crucial to gain insights into the sentiments and opinions expressed by individuals on social media. OBJECTIVE: This study aims to conduct a comprehensive analysis of tweets before and after the ban on Juul, aiming to shed light on public perceptions and sentiments surrounding this contentious topic and to better understand the life cycle of public health-related policy on social media. METHODS: Natural language processing (NLP) techniques were used, including state-of-the-art BERTopic topic modeling and sentiment analysis. A total of 6023 tweets and 22,288 replies or retweets were collected from Twitter (rebranded as X in 2023) between June 2022 and October 2022. The encoded topics were used in time-trend analysis to depict the boom-and-bust cycle. Content analyses of retweets were also performed to better understand public perceptions and sentiments about this contentious topic. RESULTS: The attention surrounding the FDA's ban on Juul lasted no longer than a week on Twitter. Not only the news (ie, tweets with a YouTube link that directs to the news site) related to the announcement itself, but the surrounding discussions (eg, potential consequences of this ban or block and concerns toward kids or youth health) diminished shortly after June 23, 2022, the date when the ban was officially announced. Although a short rebound was observed on July 4, 2022, which was contributed by the suspension on the following day, discussions dried out in 2 days. Out of the top 50 most retweeted tweets, we observed that, except for neutral (23/45, 51%) sentiment that broadcasted the announcement, posters responded more negatively (19/45, 42%) to the FDA's ban. CONCLUSIONS: We observed a short life cycle for this news announcement, with a preponderance of negative sentiment toward the FDA's ban on Juul. Policy makers could use tactics such as issuing ongoing updates and reminders about the ban, highlighting its impact on public health, and actively engaging with influential social media users who can help maintain the conversation.

Study protocol: a mixed-methods study of the implementation of doula care to address racial health equity in six state Medicaid programs.

BACKGROUND: Racial inequities in severe maternal morbidity (SMM) and mortality constitute a public health crisis in the United States. Doula care, defined as care from birth workers who provide culturally appropriate, non-clinical support during pregnancy and postpartum, has been proposed as an intervention to help disrupt obstetric racism as a driver of adverse pregnancy outcomes in Black and other birthing persons of colour. Many state Medicaid programs are implementing doula programs to address the continued increase in SMM and mortality. Medicaid programs are poised to play a major role in addressing the needs of these populations with the goal of closing the racial gaps in SMM and mortality. This study will investigate the most effective ways that Medicaid programs can implement doula care to improve racial health equity. METHODS: We describe the protocol for a mixed-methods study to understand how variation in implementation of doula programs in Medicaid may affect racial equity in pregnancy and postpartum health. Primary study outcomes include SMM, person-reported measures of respectful obstetric care, and receipt of evidence-based care for chronic conditions that are the primary causes of postpartum mortality (cardiovascular, mental health, and substance use conditions). Our research team includes doulas, university-based investigators, and Medicaid participants from six sites (Kentucky, Maryland, Michigan, Pennsylvania, South Carolina and Virginia) in the Medicaid Outcomes Distributed Research Network (MODRN). Study data will include policy analysis of doula program implementation, longitudinal data from a cohort of doulas, cross-sectional data from Medicaid beneficiaries, and Medicaid healthcare administrative data. Qualitative analysis will examine doula and beneficiary experiences with healthcare systems and Medicaid policies. Quantitative analyses (stratified by race groups) will use matching techniques to estimate the impact of using doula care on postpartum health outcomes, and will use time-series analyses to estimate the average treatment effect of doula programs on population postpartum health outcomes. DISCUSSION: Findings will facilitate learning opportunities among Medicaid programs, doulas and Medicaid beneficiaries. Ultimately, we seek to understand the implementation and integration of doula care programs into Medicaid and how these processes may affect racial health equity. Study registration The study is registered with the Open Science Foundation ( https://doi.org/10.17605/OSF.IO/NXZUF ).

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.

Re-politicizing the WHO's social determinants of health framework.

Although the World Health Organization's (WHO's) framework on social and structural determinants of health and health inequities (SSDHHI) has done much to raise awareness of these determinants, it does not go far enough in considerations of politics and power. The framework has become more de-politicized since its publication, with the definition of social determinants shifting toward downstream and individualized factors. In the meantime, new research fields on legal, commercial and political determinants of health and health inequities have emerged; however, these have not become integrated adequately into broader SSDHHI frameworks. To address these challenges, we argue for a re-politicization and an expansion of the WHO's framework by including the agents who have power over shaping structural determinants and the ways they use power to shape these determinants. We also provide a more detailed conceptualization of structural determinants to facilitate research. We propose a guideline for evaluating studies according to the extent to which they point upstream versus downstream and incorporate agents and considerations of power. We then use this framework to encourage more research on associations among agents, mechanisms of power, and structural determinants; how changes in structural determinants affect power dynamics among agents; and a wider focus on structural determinants beyond laws and policies, such as broad economic and sociopolitical systems. We also urge researchers to consider societal and institutional forces shaping their research with respect to SSDHHI. Research based on this framework can be used to provide evidence for advocacy for structural changes and to build more just systems that respect the fundamental human right to a healthy life.

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.

Effects of Aftermarket Electronic Cigarette Pods on Device Power Output and Nicotine, Carbonyl, and ROS Emissions.

Aftermarket pods designed to operate with prevalent electronic nicotine delivery system (ENDS) products such as JUUL are marketed as low-cost alternatives that allow the use of banned flavored liquids. Subtle differences in the design or construction of aftermarket pods may intrinsically modify the performance of the ENDS device and the resulting nicotine and toxicant emissions relative to the original equipment manufacturer's product. In this study, we examined the electrical output of a JUUL battery and the aerosol emissions when four different brands of aftermarket pods filled with an analytical-grade mixture of propylene glycol, glycerol, and nicotine were attached to it and puffed by machine. The aerosol emissions examined included total particulate matter (TPM), nicotine, carbonyl compounds (CCs), and reactive oxygen species (ROS). We also compared the puff-resolved power and TPM outputs of JUUL and aftermarket pods. We found that all aftermarket pods drew significantly greater electrical power from the JUUL battery during puffing and had different electrical resistances and resistivity. In addition, unlike the case with the original pods, we found that with the aftermarket pods, the power provided by the battery did not vary greatly with flow rate or puff number, suggesting impairment of the temperature control circuitry of the JUUL device when used with the aftermarket pods. The greater power output with the aftermarket pods resulted in up to three times greater aerosol and nicotine output than the original product. ROS and CC emissions varied widely across brands. These results highlight that the use of aftermarket pods can greatly modify the performance and emissions of ENDS. Consumers and public health authorities should be made aware of the potential increase in the level of toxicant exposure when aftermarket pods are employed.

Biolayer interferometry is insufficiently sensitive for direct measurement of IgM quantity and avidity in Atlantic salmon (Salmo salar) serum.

Quantification of specific antibodies underpins the assessment of adaptive immunity in response to vaccination or infection and is performed by enzyme-linked immunosorbent assay (ELISA). A biolayer interferometry (BLI) assay was recently developed that simultaneously quantifies IgM antibodies and their avidity in giant grouper (Epinephelus lanceolatus) sera and proved to be a robust, repeatable and more high-throughput alternative to ELISA [1]. Here we attempted to optimise a similar single-step BLI assay using an Octet HTX instrument to quantify IgM specific to the hapten 2,4-dinitrophenol (DNP) in serum from Atlantic salmon (Salmo salar) primed and boosted with DNP conjugated to keyhole limpet hemocyanin.

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.

Common Measures to Evaluate Flavored Tobacco Products: Recommendations From the Tobacco Centers for Regulatory Science (TCORS) Flavored Tobacco Products Measurement Subcommittee.

INTRODUCTION: Flavored electronic nicotine delivery systems (ENDS) and tobacco products are associated with the initiation and progression of tobacco use. With recent restrictions around flavored products, it is critical to measure both the product and the flavor being used. The Tobacco Centers of Regulatory Science (TCORS) Flavored Tobacco Products Measurement Subcommittee (FTPMS) was established to develop core measures to assess flavored tobacco and ENDS product usage, facilitate data harmonization, replicability, and comparisons across studies. AIMS AND METHODS: The FTPMS used a mixed-method approach to inform the development of recommended measures (first use, current use, reasons for use) to assess tobacco and ENDS product flavors. This included reviewing existing surveys, identifying priority areas, developing new measures, cognitive testing, and finalization of recommended measures. RESULTS: Recommended measures were selected from national surveys (e.g. PATH study) and survey items used in TCORS studies to evaluate first use, current use, and reasons for use of tobacco and ENDS products. Response options were expanded for questions about specific flavors and adapted to allow for assessments relevant to recent federal policies. Supplemental measures were developed for researchers conducting more in-depth research around flavored products. CONCLUSIONS: Using an expert consensus process supplemented with cognitive testing, the FTPMS developed recommendations for core and supplemental measures for flavored tobacco and ENDS products. Harmonizing data on these factors for flavored tobacco and ENDS products are critical for researchers and may provide actionable evidence to federal, state, and local regulators and policymakers, as well as support evaluations of policies restricting flavors in these products. IMPLICATIONS: The development of core measures to assess first use, current use, and reasons for use of flavored tobacco and ENDS products will facilitate data harmonization, replicability, and comparisons across studies conducted in different samples or across communities with varying levels of regulation for these products. Use of these standardized measures will allow for a greater understanding of the role of flavors and helps to build a more robust evidence base to inform regulatory decisions to reduce tobacco and ENDS use at the population level.

Changes in Nicotine Dependence Among Smokers Using Electronic Cigarettes to Reduce Cigarette Smoking in a Randomized Controlled Trial.

INTRODUCTION: How nicotine dependence will be affected when current smokers initiate electronic cigarette (e-cigarette) use to reduce cigarette smoking is unknown. This study evaluated cigarette, e-cigarette, and total nicotine dependence more than 6 months among smokers reducing cigarette consumption by replacing with e-cigarettes. AIMS AND METHODS: Adult cigarette smokers were randomized to one of four conditions (36 mg/ml e-cigarette, 8 mg/ml e-cigarette, 0 mg/ml e-cigarette, or cigarette-substitute [CS] [provided at no cost]) and instructed to reduce their cigarette smoking by 75% at 1 month. Participants completed follow-up at 1, 3, and 6 months. The Penn State Nicotine Dependence Index (PSNDI) measured dependence on cigarettes (PSCDI) and e-cigarettes (PSECDI). Urine cotinine measured total nicotine exposure. Linear mixed effects models for each outcome were conducted and included interaction terms between visit and condition. RESULTS: Participants (n = 520) were 58.8% female, 67.3% White, and 48.0 years old. At baseline, the median number of cigarettes smoked per day was 17.3 and the mean PSCDI score was 13.4, with no significant differences between conditions. Participants in the e-cigarette conditions reported significantly lower PSCDI scores, compared with baseline, and with the CS condition at all follow-up visits. Those in the 36 mg/ml e-cigarette condition reported greater PSECDI scores at 6 months, compared with baseline and the 0 mg/ml and 8 mg/ml conditions. At all follow-up visits, there were no differences in total nicotine exposure compared to baseline, nor between any conditions. CONCLUSIONS: E-cigarette use was associated with reduced cigarette dependence, compared to the CS, without significant increases in total nicotine exposure. IMPLICATIONS: Initiation of electronic cigarette use while continuing to smoke could potentially increase nicotine dependence. In this randomized trial aimed at helping smokers to reduce their cigarette intake, we found that use of an e-cigarette was associated with a reduction in cigarette dependence and an increase in e-cigarette dependence (in the condition with the highest nicotine concentration only), with no long term increase in total nicotine dependence or nicotine exposure.

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.

Effects of Sport Participation on Gait Coordination, Symmetry, and Variability in Older Adults.

The aim of this study was to compare the interlimb coordination, asymmetry, and variability between older adults who participated in sports (n = 25; age = 72.6 ± 6.46 years) and sedentary older adults (n = 20; age = 70.85 ± 3.82 years). The sport participants were selected from tennis and badminton clubs, whereas the sedentary participants were recruited from local community centers. The participants walked at their preferred speed in a 10-m walkway for 2 min. The interlimb coordination was measured by the phase coordination index. Other walking metrics were speed, cadence, swing time, stance time, double-support time, stride time, and swing time asymmetry. The results showed that the sport participants relative to the sedentary group had better interlimb coordination, higher walking speed and cadence, and less swing time variability. Young older adults also had a better interlimb coordination. In conclusion, the findings of this study showed that long-term participation in sports has some antiaging benefits on gait coordination and symmetry in older adults.

Kinetics and Kinematics of the Free-Weight Back Squat and Loaded Jump Squat.

ABSTRACT: Thompson, SW, Lake, JP, Rogerson, D, Ruddock, A, and Barnes, A. Kinetics and kinematics of the free-weight back squat and loaded jump squat. J Strength Cond Res 37(1): 1-8, 2023-The aim of this study was to compare kinetics and kinematics of 2 lower-body free-weight exercises, calculated from concentric and propulsion subphases, across multiple loads. Sixteen strength-trained men performed back squat 1 repetition maximum (1RM) tests (visit 1), followed by 2 incremental back squat and jump squat protocols (visit 2) (loads = 0% and 30-60%, back squat 1RM). Concentric phase and propulsion phase force-time-displacement characteristics were derived from force plate data and compared using analysis of variance and Hedges' g effect sizes. Intrasession reliability was calculated using intraclass correlation coefficient (ICC) and coefficient of variation (CV). All dependent variables met acceptable reliability (ICC >0.7; CV < 10%). Statistically significant 3-way interactions (load × phase × exercise) and 2-way main effects (phase × exercise) were observed for mean force, velocity (30-60% 1RM), power, work, displacement, and duration (0%, 30-50% 1RM) ( p < 0.05). A significant 2-way interaction (load × exercise) was observed for impulse ( p < 0.001). Jump squat velocity ( g = 0.94-3.80), impulse ( g = 1.98-3.21), power ( g = 0.84-2.93), and work ( g = 1.09-3.56) were significantly larger across concentric and propulsion phases, as well as mean propulsion force ( g = 0.30-1.06) performed over all loads ( p < 0.001). No statistically significant differences were observed for mean concentric force. Statistically longer durations ( g = 0.38-1.54) and larger displacements ( g = 2.03-4.40) were evident for all loads and both subphases ( p < 0.05). Ballistic, lower-body exercise produces greater kinetic and kinematic outputs than nonballistic equivalents, irrespective of phase determination. Practitioners should therefore use ballistic methods when prescribing or testing lower-body exercises to maximize athlete's force-time-displacement characteristics.

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.