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Treatment of opioid use disorder (OUD) with buprenorphine improves outcomes and mortality among people with HIV (PWH). However, engagement is low and is influenced by comorbidities. We examined the impact of patterns of co-occurring pain, substance use disorders (SUDs), and mental health diagnoses on buprenorphine initiation and retention in PWH. The Veterans Aging Cohort Study contained 7,875 patients (2,702 PWH and 5,173 without HIV) with new OUD clinical encounters (2008–2017). Buprenorphine initiation and retention were derived from prescription data. We identified patterns of co-occurring diagnoses (via ICD codes) and assessed the effects of class membership on both outcomes using latent class analysis and regression analyses. The mean age of patients was 55, 98% were male, 58% Black, 8% Hispanic, and only 8% initiated buprenorphine within 12 months of OUD diagnosis. Four classes of co-occurring diagnoses were identified: “Few Co-occurring Diagnoses” (42.3%); “Multiple Pain Conditions” (21.3%); “Pain + SUD” (18.4%) and “Pain + SUD + Mental Health” (18.0%). Patients in the “Pain + SUD” class and “Pain + SUD + Mental Health” class were significantly less likely to initiate buprenorphine and had 59% and 45% lower odds, respectively, of initiating buprenorphine compared with patients in the “Few Co-occurring Diagnoses” class; this effect did not vary by HIV status. Buprenorphine retention was not significantly associated with HIV status or class membership. However, Black Veterans were less likely to initiate or be retained in buprenorphine treatment. Higher comorbidity burden was negatively associated with buprenorphine initiation but not with retention. More research is warranted to determine other factors that may influence treatment retention.

Wildfires are increasing in frequency and intensity, with significant consequences that impact human health. A scoping review was conducted to: (a) understand wildfire‐related health effects, (b) identify and describe environmental exposure and health outcome data sources used to research the impacts of wildfire exposures on health, and (c) identify gaps and opportunities to leverage exposure and health data to advance research. A literature search was conducted in PubMed and a sample of 83 articles met inclusion criteria. A majority of studies focused on respiratory and cardiovascular outcomes. Hospital administrative data was the most common health data source, followed by government data sources and health surveys. Wildfire smoke, specifically fine particulate matter (PM2.5), was the most common exposure measure and was predominantly estimated from monitoring networks and satellite data. Health data were not available in real‐time, and they lacked spatial and temporal coverage to study health outcomes with longer latency periods. Exposure data were often available in real‐time and provided better temporal and spatial coverage but did not capture the complex mixture of hazardous wildfire smoke pollutants nor exposures associated with non‐air pathways such as soil, household dust, food, and water. This scoping review of the specific health and exposure data sources used to underpin these studies provides a framework for the research community to understand: (a) the use and value of various environmental and health data sources, and (b) the opportunities for improving data collection, integration, and accessibility to help inform our understanding of wildfires and other environmental exposures.

Rationale Behavioral effects of testosterone depend on dose, acute versus sustained formulation, duration of administration, personality, genetics, and endogenous levels of testosterone. There are also considerable differences between effects of endogenous and exogenous testosterone. Objectives This study was the secondary behavioral arm of a registered clinical trial designed to determine if testosterone protects against loss of lean body mass and lower-body muscle function induced by a severe energy deficit typical of sustained military operations. Methods Behavioral effects of repeated doses of testosterone on healthy young men whose testosterone was reduced by severe energy deficit were examined. This was a double-blind, placebo-controlled, between-group study. Effects of four weekly intramuscular injections of testosterone enanthate (200 mg/week, N = 24) or matching placebo ( N = 26) were evaluated. Determination of sample size was based on changes in lean body mass. Tasks assessing aggression, risk-taking, competition, social cognition, vigilance, memory, executive function, and mood were repeatedly administered. Results During a period of artificially induced, low testosterone levels, consistent behavioral effects of administration of exogenous testosterone were not observed. Conclusions Exogeneous testosterone enanthate (200 mg/week) during severe energy restriction did not reliably alter the measures of cognition. Study limitations include the relatively small sample size compared to many studies of acute testosterone administration. The findings are specific to healthy males experiencing severe energy deficit and should not be generalized to effects of other doses, formulations, or acute administration of endogenous testosterone or studies conducted with larger samples using tests of cognitive function designed to detect specific effects of testosterone.

Introduction: This study examined trajectories of tobacco dependence (TD) in relationship to changes in tobacco product use, and explored the effects of product-specific adding, switching, or discontinued use on dependence over time. Methods: Data were analyzed from the first three waves from the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative, longitudinal study of adults and youth in the United States (U.S.). Data included 9556 Wave 1 (2013/2014) adult current established tobacco users aged 18 or older who completed all three interviews and had established use at ≥2 assessments. Mutually exclusive groups included: users of cigarettes only, e-cigarettes only, cigars only, hookah only, any smokeless only, cigarette + e-cigarette dual users, and other multiple product users. A validated 16-item scale assessed TD across product users. Results: People who used e-cigarettes exclusively at Wave 1 had small increases in TD through Wave 3. Wave 1 multiple product users' TD decreased across waves. TD for all other Wave 1 user groups remained about the same. For Wave 1 cigarette only smokers, switching to another product was associated with lower levels of TD than smokers whose use stayed the same. Movement to no established use of any tobacco product was consistently associated with lower TD for all product users. Conclusions: Except for Wave 1 e-cigarette only users (who experienced small increases in TD), TD among U.S. tobacco product users was stable over time, with daily users less likely to vary from baseline. Implications: The level of TD among most U.S. tobacco users was stable over the first three waves of the PATH Study and trends in levels of TD were predominantly unrelated to changes in patterns of continued product use. Stable levels of TD suggest a population at persistent risk of health impacts from tobacco. Wave 1 e-cigarette users experienced small increases in levels of TD over time, perhaps due to increases in quantity or frequency of their e-cigarette use or increasing efficiency of nicotine delivery over time.

Importance: Chronic pain risk and prognosis estimates are needed to inform effective interventions. Objective: To estimate rates of chronic pain and high-impact chronic pain (HICP) incidence and persistence in US adults across demographic groups. Design, setting, and participants: This cohort study examined a nationally representative cohort with 1 year of follow-up (mean [SD], 1.3 [0.3] years). Data from the 2019-2020 National Health Interview Survey (NHIS) Longitudinal Cohort were used to assess the incidence rates of chronic pain across demographic groups. The cohort was created using random cluster probability sampling of noninstitutionalized civilian US adults 18 years or older in 2019. Of 21 161 baseline participants in the 2019 NHIS who were randomly chosen for follow-up, 1746 were excluded due to proxy response(s) or lack of contact information, and 334 were deceased or institutionalized. Of the 19 081 remaining, the final analytic sample of 10 415 adults also participated in the 2020 NHIS. Data were analyzed from January 2022 to March 2023. Exposures: Self-reported baseline sex, race, ethnicity, age, and college attainment. Main outcomes and measures: Primary outcomes were the incidence rates of chronic pain and HICP, and secondary outcomes were the demographic characteristics and rates across demographic groups. A validated measure of pain status ("In the past 3 months, how often did you have pain? Would you say never, some days, most days, or every day?") yielded 3 discrete categories each year: pain free, nonchronic pain, or chronic pain (pain "most days" or "every day"). Chronic pain present in both survey years was considered persistent; HICP was defined as chronic pain that limited life or work activities on most days or every day. Rates were reported per 1000 person-years (PY) of follow-up, and age standardized based on the 2010 US adult population. Results: Among 10 415 participants included in the analytic sample, 51.7% (95% CI, 50.3%-53.1%) were female, 54.0% (95% CI, 52.4%-55.5%) were aged 18 to 49 years, 72.6% (95% CI, 70.7%-74.6%) were White, 84.5% (95% CI, 81.6%-85.3%) were non-Hispanic or non-Latino, and 70.5% (95% CI, 69.1%-71.9%) were not college graduates. Among pain-free adults in 2019, incidence rates of chronic pain and HICP in 2020 were 52.4 (95% CI, 44.9-59.9) and 12.0 (95% CI, 8.2-15.8) cases per 1000 PY, respectively. The rates of persistent chronic pain and persistent HICP in 2020 were 462.0 (95% CI, 439.7-484.3) and 361.2 (95% CI, 265.6-456.8) cases per 1000 PY, respectively. Conclusions and relevance: In this cohort study, the incidence of chronic pain was high compared with other chronic diseases. These results emphasize the high disease burden of chronic pain in the US adult population and the need for early management of pain before it becomes chronic.

Importance: Adults with psychotic disorders have high premature mortality, partly due to the high prevalence of smoking in this population. Yet recent data are lacking on tobacco product use among US adults with a history of psychosis. Objective: To examine the sociodemographic characteristics and behavioral health status; types of tobacco products used; prevalence of use by age, sex, and race and ethnicity; and nicotine dependence severity and smoking cessation methods among community-dwelling adults with vs without psychosis. Design, setting, and participants: This cross-sectional study analyzed nationally representative, self-reported, cross-sectional data of adults (aged ≥18 years) who participated in the Wave 5 survey (conducted from December 2018 to November 2019) of the Population Assessment of Tobacco and Health (PATH) Study. Data analyses were conducted between September 2021 and October 2022. Exposure: PATH Study respondents were classified as having lifetime psychosis if they answered yes to whether they had ever received from a clinician (eg, physician, therapist, or other mental health professional) a diagnosis of schizophrenia, schizoaffective disorder, psychosis, or psychotic illness or episode. Main outcomes and measures: Use of any and major types of tobacco products, severity of nicotine dependence, and cessation methods. Results: Among the 29 045 community-dwelling adults who participated in the PATH Study (weighted median [IQR] age, 30.0 [22.0-50.0] years; weighted percentage estimates: 14 976 females (51.5%); 16.0% Hispanic, 11.1% non-Hispanic Black, 65.0% non-Hispanic White, and 8.0% non-Hispanic other race and ethnicity [American Indian or Alaska Native, Asian, Native Hawaiian or other Pacific Islander, and more than 1 race]), 2.9% (95% CI, 2.62%-3.10%) reported receiving a lifetime psychosis diagnosis. Compared with those without psychosis, people with psychosis had a higher adjusted prevalence of past-month any tobacco use (41.3% vs 27.7%; adjusted risk ratio [RR], 1.49 [95% CI, 1.36-1.63]) as well as cigarette smoking, e-cigarette use, and other tobacco product use overall and in most examined subgroups; they also had a higher past-month prevalence of dual cigarette and e-cigarette use (13.5% vs 10.1%; P = .02), polycombustible tobacco use (12.1% vs 8.6%; P = .007), and polycombustible and noncombustible tobacco use (22.1% vs 12.4%; P < .001). Among adults with past-month cigarette use, those with vs without psychosis had a higher adjusted mean nicotine dependence scores overall (54.6 vs 49.5; P < .001) and within the 45-years-or-older (61.7 vs 54.9; P = .002), female (56.9 vs 49.8; P = .001), Hispanic (53.7 vs 40.0; P = .01), and Black (53.4 vs 46.0; P = .005) groups. They were also more likely to make a quit attempt (60.0% vs 54.1%; adjusted RR, 1.11 [95% CI, 1.01-1.21]) and use counseling, a quitline, or a support group for tobacco cessation (5.6% vs 2.5%; adjusted RR, 2.25 [95% CI, 1.21-3.30]). Conclusions and relevance: In this study, the high prevalence of tobacco use, polytobacco use, and making a quit attempt as well as the severity of nicotine dependence among community-dwelling adults with a history of psychosis highlighted the urgency for tailored tobacco cessation interventions for this population. Such strategies must be evidence-based and age, sex, and race and ethnicity appropriate.

Remdesivir (GS-5734; VEKLURY) is a single diastereomer monophosphoramidate prodrug of an adenosine analog (GS-441524). Remdesivir is taken up by target cells and metabolized in multiple steps to form the active nucleoside triphosphate (GS-443902), which acts as a potent inhibitor of viral RNA-dependent RNA polymerases. Remdesivir and GS-441524 have antiviral activity against multiple RNA viruses. Here, we expand the evaluation of remdesivir’s antiviral activity to members of the families Flaviviridae, Picornaviridae, Filoviridae, Orthomyxoviridae, and Hepadnaviridae. Using cell-based assays, we show that remdesivir can inhibit infection of flaviviruses (such as dengue 1–4, West Nile, yellow fever, Zika viruses), picornaviruses (such as enterovirus and rhinovirus), and filoviruses (such as various Ebola, Marburg, and Sudan virus isolates, including novel geographic isolates), but is ineffective or is significantly less effective against orthomyxoviruses (influenza A and B viruses), or hepadnaviruses B, D, and E. In addition, remdesivir shows no antagonistic effect when combined with favipiravir, another broadly acting antiviral nucleoside analog, and has minimal interaction with a panel of concomitant medications. Our data further support remdesivir as a broad-spectrum antiviral agent that has the potential to address multiple unmet medical needs, including those related to antiviral pandemic preparedness.

Importance: Information about national substance use trends among youths and adults after mid-March 2020 is limited due to constraints on surveillance during the COVID-19 pandemic. Objective: To evaluate whether substance use prevalence in the early part of the pandemic (2020) differed from the prepandemic periods of 2018 to 2019 and 2016 to 2018. Design, setting, and participants: This cross-sectional study was a repeated analysis of 2016 to 2020 data from a nationally representative sample of youths and adults in the Population Assessment of Tobacco and Health (PATH) Study. Participants were representative of the US civilian noninstitutionalized population. Household residents age 13 years or older were interviewed in person from 2016 to 2019 and via telephone in 2020. Exposures: Age, calendar year. Main outcomes and measures: Past 30-day self-reported use of any tobacco, any alcohol, binge drinking, cannabis, and any other illegal or misused prescription drugs. Results: The overall nationally representative 2020 sample included 7129 youths (ages 13-17 years), 3628 young adults (ages 18-20 years), and 8874 adults (ages ≥21 years). Comparing 2018 to 2019 with 2020 among youths, prevalence of all substances used declined (eg, cannabis use declined in those aged 16-17 years from 14.9% to 7.6%; absolute difference, -7.3 percentage points [95% CI -8.8 to -5.8 percentage points]). Among young adults, prevalence of all substances other than any alcohol decreased significantly (eg, tobacco use declined from 37.8% to 22.8%; absolute difference, -15.1 percentage points [95% CI -16.8 to -13.3 percentage points]). In adults ages 21 to 24 years, any tobacco use declined from 39.0% to 30.9% (absolute difference, -8.2 percentage points [95% CI, -10.6 to -5.7 percentage points]), and alcohol use increased from 60.2% to 65.2% (absolute difference, 5.0 percentage points [95% CI, 2.3 to 7.7 percentage points]). Among adults aged 25 years or older, any tobacco use declined from 39.0% to 30.9% (absolute difference, -8.2 percentage points [95% CI, -10.6 to -5.7 percentage points]), cannabis use increased from 11.3% to 12.4% (absolute difference, 1.2 percentage points [95% CI, 0.3 to 2.0 percentage points]), and other substance use declined from 5.8% to 3.7% (absolute difference, -2.1 percentage points [95% CI, -2.9 to -1.4 percentage points]). Conclusions and relevance: In this cross-sectional study, substance use decreased between 2019 and 2020 among those aged 13 to 20 years; consistent declines were not seen in older persons other than tobacco use reductions, and cannabis use increased among adults ages 25 years and older. While social changes during the COVID-19 pandemic could have affected substance use, findings should be interpreted with caution due to differences in data collection methods in 2016 to 2019 and 2020.

Importance Evolving tobacco use patterns, including increasing electronic nicotine delivery systems (ENDS) use, warrant re-examination of the associations between tobacco use and oral health. Objective To examine associations between tobacco product use and incidence of adverse oral health outcomes. Design, Setting, and Participants This cohort study used nationally representative data from wave (W) 1 to W5 (2013-2019) of the Population Assessment of Tobacco and Health Study. Recruitment used a stratified address-based, area-probability household sample of the noninstitutionalized US civilian population. The W1 cohort included respondents aged 18 years and older without lifetime history of oral health outcomes at W1 or W3, depending on when the outcome was first assessed. Data analysis was performed from October 2021 to September 2022. Exposures Current (every day or someday use) established (lifetime use of at least 100 cigarettes or “fairly regular” use of other products) use of cigarettes, ENDS, cigars, pipes, hookah, snus, and smokeless tobacco, excluding snus at W1 to W4. Main Outcomes and Measures The primary outcomes were past 12-month self-reported diagnosis of gum disease and precancerous oral lesions (W2-W5) and bone loss around teeth, bleeding after brushing or flossing, loose teeth, and 1 or more teeth removed (W4-W5). Results Sample sizes varied across the 6 oral health outcomes (13 149 respondents for the gum disease sample, 14 993 respondents for the precancerous oral lesions sample, 16 312 respondents for the bone loss around teeth sample, 10 286 respondents for the bleeding after brushing or flossing sample, 15 686 respondents for the loose teeth sample, and 12 061 respondents for the 1 or more teeth removed sample). Slightly more than half of adults (52%-54% across the 6 samples) were women, and the majority were of non-Hispanic White race and ethnicity. Cox proportional hazards models were developed with covariates that included time-dependent tobacco use variables mutually adjusted for each other. Cigarette smoking was positively associated with incidence of gum disease diagnosis (adjusted hazard ratio [AHR], 1.33; 95% CI, 1.11-1.60), loose teeth (AHR, 1.35; 95% CI, 1.05-1.75), and 1 or more teeth removed (AHR, 1.43; 95% CI, 1.18-1.74). Cigar smoking was positively associated with incidence of precancerous oral lesions (AHR, 2.18; 95% CI, 1.38-3.43). In addition, hookah smoking was positively associated with incidence of gum disease diagnosis (AHR, 1.78; 95% CI, 1.20-2.63), and ENDS use was positively associated with incidence of bleeding after brushing or flossing (AHR, 1.27; 95% CI, 1.04-1.54). No associations were observed between snus and smokeless tobacco excluding snus and incidence of oral health outcomes. Conclusions and Relevance The observed associations of combustible tobacco use with incidence of several adverse oral health outcomes and ENDS use with incidence of bleeding after brushing or flossing highlight the importance of longitudinal studies and emphasize the continued importance of tobacco cessation counseling and resources in clinical practice.

Objectives: One important function of military audiology is to conduct evaluations of service members (SMs) with hearing loss to ensure they are fit for deployment in dangerous operational environments. The objective of this study was to establish evidence-based auditory fitness-for-duty criteria based on speech-in-noise performance on the 80- and 160-word clinical versions of the Modified Rhyme Test (MRT80 and MRT160). Design: Approximately 2400 SMs with various levels of hearing loss were recruited to complete the MRT80 in conjunction with their annual hearing conservation evaluations. These SMs were also asked to perform one or more operationally-relevant listening tasks based on audio recordings made in highly realistic military training environments. The scores on these tests were compared to determine how well a proposed cutoff criterion for the MRT80 was able to identify individuals who are hard of hearing with an exceptionally high risk of abnormally poor performance on operationally-relevant hearing tasks. Results: The results show that a cutoff criterion that combines the percent correct score on two lists of the MRT80 (i.e. MRT160) with information about the better-ear threshold at 2 kHz is generally able to separate listeners with hearing loss into those who are likely to perform relatively well on operational listening tests and those who are likely to perform poorly on these tasks. This is consistent with current military acquisition standards, which identify the MRT as the preferred test for evaluating speech intelligibility for radios, headsets, and other communication equipment. It is also consistent with prior studies conducted in high-fidelity military simulations which have shown a significant correlation between MRT performance and operational outcomes. Conclusions: The proposed selection criteria, along with the new hearing profile standards that were recently adopted by the US Army, appear to provide an effective evidence-based methodology for identifying those SMs with hearing loss who are most at risk for poor performance on hearing-critical military tasks.

Objectives This cross-sectional study investigated self-reported sleep duration and its association with a comprehensive range of clinically-diagnosed medical condition categories (CDMCs), as well as the relationship between short sleep duration (≤6 hours) and demographic/lifestyle factors, among United States military service members (SMs). Methods A stratified random sample of SMs (n = 20,819) completed an online questionnaire on usual daily hours of sleep and demographic/lifestyle characteristics. CDMCs for a six-month period prior to questionnaire completion were obtained from a comprehensive military electronic medical surveillance system and grouped into 33 CDMCs covering both broad and specific medical conditions. Prevalence of CDMCs was compared among three sleep duration categories (≤4, 5–6 and ≥7 hours). Results SMs reported a mean ± standard deviation of 6.3 ± 1.4 hours of sleep per day. After adjustment for demographic/lifestyle characteristics, shorter sleep duration was associated with higher odds of a medical condition in 25 of 33 CDMCs, with most (n = 20) demonstrating a dose-response relationship. The five CDMCs with the largest differences between ≤4 vs ≥ 7 hours sleep were: diseases of the nervous system (odds ratio [OR] = 2.9, 95% confidence interval [95%CI] = 2.4–3.4), mental/behavioral diseases (OR = 2.7, 95%CI = 2.3–3.2), diseases of the musculoskeletal system (OR = 1.9, 95%CI = 1.6–2.1), diseases of the circulatory system (OR = 1.7, 95%CI = 1.3–2.2), and diseases of the digestive system (OR = 1.6, 95%CI = 1.2–2.0). Six hours of sleep or less was independently associated with older age, less formal education, race, Hispanic ethnicity, higher body mass index, smoking, and military service branch. Conclusions In this young, physically active population, reporting shorter sleep duration was associated with a higher risk of multiple CDMCs.

Background: We examined the association of non-cigarette tobacco use on chronic obstructive pulmonary disease (COPD) risk in the Population Assessment of Tobacco and Health (PATH) Study. Methods: There were 13,752 participants ≥ 40 years with Wave 1 (W1) data for prevalence analyses, including 6945 adults without COPD for incidence analyses; W1-5 (2013-2019) data were analyzed. W1 tobacco use was modeled as 12 mutually-exclusive categories of past 30-day (P30D) single and polyuse, with two reference categories (current exclusive cigarette and never tobacco). Prevalence and incidence ratios of self-reported physician-diagnosed COPD were estimated using weighted multivariable Poisson regression. Results: W1 mean (SE) age was 58.1(0.1) years; mean cigarette pack-years was similar for all categories involving cigarettes and exclusive use of e-cigarettes (all > 20), greater than exclusive cigar users (< 10); and COPD prevalence was 7.7%. Compared to P30D cigarette use, never tobacco, former tobacco, and cigar use were associated with lower COPD prevalence (RR = 0.33, (95% confidence interval-CI) [0.26, 0.42]; RR = 0.57, CI [0.47, 0.70]; RR = 0.46, CI [0.28, 0.76], respectively); compared to never tobacco use, all categories except cigar and smokeless tobacco use were associated with higher COPD prevalence (RR former = 1.72, CI [1.33, 2.23]; RR cigarette = 3.00, CI [2.37, 3.80]; RR e-cigarette = 2.22, CI [1.44, 3.42]; RR cigarette + e-cigarette = 3.10, CI [2.39, 4.02]; RR polycombusted = 3.37, CI [2.44, 4.65]; RR polycombusted plus noncombusted = 2.75, CI]1.99, 3.81]). COPD incidence from W2-5 was 5.8%. Never and former tobacco users had lower COPD risk compared to current cigarette smokers (RR = 0.52, CI [0.35, 0.77]; RR = 0.47, CI [0.32, 0.70], respectively). Compared to never use, cigarette, smokeless, cigarette plus e-cigarette, and polycombusted tobacco use were associated with higher COPD incidence (RR = 1.92, CI [1.29, 2.86]; RR = 2.08, CI [1.07, 4.03]; RR = 1.99, CI [1.29, 3.07]; RR = 2.59, CI [1.60, 4.21], respectively); exclusive use of e-cigarettes was not (RR = 1.36, CI [0.55, 3.39]). Conclusions: E-cigarettes and all use categories involving cigarettes were associated with higher COPD prevalence compared to never use, reflecting, in part, the high burden of cigarette exposure in these groups. Cigarette-but not exclusive e-cigarette-use was also strongly associated with higher COPD incidence. Compared to cigarette use, only quitting tobacco was protective against COPD development.

Objective To determine the cost-effectiveness of planned oocyte cryopreservation (OC) as a strategy for delayed childbearing to achieve 1 or 2 live births (LB) compared with in vitro fertilization (IVF) and preimplantation genetic testing for aneuploidy (PGT-A) at advanced reproductive age. Design Decision tree model with sensitivity analyses using data from the Society for Assisted Reproductive Technology Clinical Outcome Reporting System and other clinical sources. Setting Not applicable. Patient(s) A data-driven simulated cohort of patients desiring delayed childbearing with an ideal family size of 1 or 2 LB. Intervention(s) Not applicable. Main Outcome Measure(s) Probability of achieving ≥1 or 2 LB, average and maximum cost per patient, cost per percentage point increase in chance of LB, and population-level cost/LB. Result(s) For those desiring 1 LB, planned OC at age 33 with warming at age 43 decreased the average total cost per patient from $62,308 to$30,333 and increased the likelihood of LB from 50% to 73% when compared with no OC with up to 3 cycles of IVF/PGT-A at age 43. For those desiring 2 LB, 2 cycles of OC at age 33 and warming at age 40 yielded the lowest cost per patient and highest likelihood of achieving 2 LB ($51,250 and 77$75,373 and 61%, respectively), no OC and IVF/PGT-A with embryo banking ($79,728 and 48$79,057 and 19%, respectively). Sensitivity analyses showed that OC remained cost-effective across a wide range of ages at cryopreservation. For 1 LB, OC achieved the highest likelihood of success when pursued before age 32 and remained more effective than IVF/PGT-A when pursued before age 39, and for 2 LB, 2 cycles of OC achieved the highest likelihood of success when pursued before age 31 and remained more effective than IVF/PGT-A when pursued before age 39. Conclusion(s) Among patients planning to postpone childbearing, OC is cost-effective and increases the odds of achieving 1 or 2 LB when compared with IVF/PGT-A at a more advanced reproductive age.

Introduction While risk factors for cigarette smoking among youth and young adults are well-documented, less is known about the correlates of initiation of other tobacco products. This study aims to provide estimates and correlates of initiation among U.S. youth and young adults. Methods Data on youth aged 12-17 (n=10,072) and young adults aged 18-24 (N=5,727) who provided information on cigarettes, electronic nicotine delivery systems (ENDS), cigars, pipe, hookah and smokeless tobacco use in Wave 1 (W1: 2013-2014)-Wave 4 (W4: 2016-2018) of the nationally-representative PATH Study were used to calculate ever use initiation and correlates of initiation by W4. Results Nearly 6 million youth and 2.5 million young adults used tobacco for the first time between W1-W4. Approximately one quarter of youth and young adult ENDS never users initiated ENDS between W1-W4 of the PATH Study. Among youth, use of other tobacco products, ever substance use, and high externalizing problems were associated with initiation of most products. Among young adults, use of other tobacco products and ever substance use were associated with initiation of most products. In both youth and young adults, Hispanics were more likely to initiate hookah use than their non-Hispanic White counterparts. While male sex was a risk factor for most tobacco product initiation across both age groups, it was not associated with hookah initiation. Conclusions Cigarette and non-cigarette products shared many correlates of initiation, although there are noteworthy demographic differences. Findings can help tailor product specific interventions to reach populations at risk during preliminary stages of use.

Hearing protection device (HPD) fit-testing is considered “best practice” for hearing conservation programs in the military. Yet many hearing conservation personnel do not have access to dedicated fit-test equipment. In this study, estimates of personal attenuation rating (PAR) obtained with a boothless audiometer are compared to those obtained with a field-microphone in a real ear (F-MIRE) system. Results suggest that boothless audiometers can be used to make accurate PAR estimates. The ability to perform HPD fit-testing with multipurpose boothless audiometers has the potential to greatly expand the accessibility of earplug verification and ultimately to improve the effectiveness of hearing conservation programs.

Background Little is known about the spatial distribution of idiopathic inflammatory myopathies (IIM) in the United States (U.S.), or their geospatial associations. Methods We studied a national myositis patient registry, with cases diagnosed in the contiguous U.S. from 1985–2011 and comprised of dermatomyositis (DM, n = 484), polymyositis (PM, n = 358), and inclusion body myositis (IBM, n = 318) patients. To assess the association of myositis prevalence with distance from roads, we employed log-Gaussian Cox process models, offset with population density. Results The U.S. IIM case distribution demonstrated a higher concentration in the Northest. DM, IBM, and cases with lung disease were more common in the East, whereas PM cases were more common in the Southeast. One area in the West and one area in the South had a significant excess in cases of DM relative to PM and of cases with lung disease relative to those without lung disease, respectively. IIM cases tended to cluster, with between-points interactions more intense in the Northeast and less in the South. There was a trend of a higher prevalence of IIM and its major phenotypes among people living within 50 m of a roadway relative to living beyond 200 m. Demographic characteristics, rural-urban commuting area, and female percentage were significantly associated with the prevalence of IIM and with major phenotypes. Conclusions Using a large U.S. database to evaluate the spatial distribution of IIM and its phenotypes, this study suggests clustering in some regions of the U.S. and a possible association of proximity to roadways.

Abstract The interplay between genes harboring single nucleotide polymorphisms (SNPs) is vital to better understand underlying contributions to the etiology of breast cancer. Much attention has been paid to epistasis between nuclear genes or mutations in the mitochondrial genome. However, there is limited understanding about the epistatic effects of genetic variants in the nuclear and mitochondrial genomes jointly on breast cancer. We tested the interaction of germline SNPs in the mitochondrial (mtSNPs) and nuclear (nuSNPs) genomes of female breast cancer patients in The Cancer Genome Atlas (TCGA) for association with morphological features extracted from hematoxylin and eosin (H&E)-stained pathology images. We identified 115 significant (q-value

Importance Cigarette smokers not planning to quit are often overlooked in population studies evaluating the risk-benefit potential of electronic nicotine delivery products (e-cigarettes). Objective To evaluate whether e-cigarette use is associated with discontinuing cigarette smoking among smokers who were initially never planning to quit. Design, Setting, and Participants This cohort study used US nationally representative data from the longitudinal Population Assessment of Tobacco and Health Study (waves 2-5 conducted between October 2014 and November 2019), with participants evaluated in 3 pairs of interviews. Adult daily cigarette smokers initially not using e-cigarettes and with no plans to ever quit smoking for good (2489 observations from 1600 individuals) were included. Exposures e-Cigarette use (ie, daily use, nondaily use, or no use) at follow-up interview among smokers not using e-cigarettes at baseline interview. Main Outcomes and Measures The main outcomes were discontinuation of cigarette smoking (ie, no cigarette smoking) and discontinuation of daily cigarette smoking (ie, no daily cigarette smoking) at follow-up interview. Generalized estimating equations were used to evaluate the association between the exposure and each outcome, controlling for demographic characteristics and cigarettes smoked per day at baseline interview; all estimates were weighted. Results The weighted population of adult daily cigarette smokers who were not using e-cigarettes and had no plans to ever quit smoking, based on data from 1600 participants, was 56.1% male (95% CI, 53.4%-58.7%), 10.1% Hispanic (95% CI, 8.2%-12.3%), 10.1% non-Hispanic Black (95% CI, 8.7%-11.7%), 75.6% non-Hispanic White (95% CI, 72.9%-78.2%), and 4.2% of other non-Hispanic race (95% CI, 3.3%-5.4%); 29.3% were aged 55 to 69 years (95% CI, 26.2%-32.6%), 8.9% were aged 70 years or older (95% CI, 6.8%-11.5%), 36.8% did not graduate from high school (95% CI, 34.1%-39.6%), 55.2% had an annual household income of less than $25 000 (95% CI, 52.3%-58.1%), 37.6% smoked 20 to 29 cigarettes per day (95% CI, 34.7%-40.6%), and 12.7% smoked 30 or more cigarettes per day (95% CI, 10.9%-14.7%). Overall, 6.2% of the population (95% CI, 5.0%-7.5%) discontinued cigarette smoking. Discontinuation rates were higher among those who used e-cigarettes daily (28.0%; 95% CI, 15.2%-45.9%) compared with not at all (5.8%; 95% CI, 4.7%-7.2%; adjusted odds ratio [aOR], 8.11; 95% CI, 3.14-20.97). Furthermore, 10.7% (95% CI, 9.1%-12.5%) discontinued daily cigarette smoking, with higher rates of discontinuation observed among those who used e-cigarettes daily (45.5%; 95% CI, 27.4%-64.9%) compared with not at all (9.9%; 95% CI, 8.2%-11.8%; aOR, 9.67; 95% CI, 4.02-23.25). Nondaily e-cigarette use was not associated with cigarette discontinuation (aOR, 0.53; 95% CI, 0.08-3.35) or daily cigarette discontinuation (aOR, 0.96; 95% CI, 0.44-2.09). Conclusions and Relevance In this cohort study, daily e-cigarette use was associated with greater odds of cigarette discontinuation among smokers who initially had no plans to ever quit smoking. These findings support the consideration of smokers who are not planning to quit when evaluating the risk-benefit potential of e-cigarettes for smoking cessation in the population.

The purpose of this period prevalence study is to compare the prevalence of cardiovascular disease (CVD) in current/former established smokeless tobacco (SLT) users (ever SLT users who have used the product fairly regularly) to those who were: 1) never established cigarette smokers and SLT users, and 2) current/former established exclusive cigarette smokers (have smoked at least a 100 or more cigarettes in lifetime) only, adjusting for known risk factors for CVD. Analyses included 4,703 men ≥40 years of age who participated in the Population Assessment of Tobacco and Health (PATH) Study, Waves: 1-4, conducted between 2013-2017. Current users were those using SLT products daily or on some days, whereas former users had not used SLT and/or cigarettes in the past 12 months. CVD prevalence was defined as a self-reported diagnosis of congestive heart failure, stroke, or myocardial infarction. Among current/former established SLT users, years of use defined exposure history, while pack-years defined exposure history for smokers. Adjusted odds ratios (AOR) and 95% confidence intervals (CI) were reported with trend tests to examine dose-response associations. Current/former established exclusive SLT users were not significantly more likely to have had any CVD compared to never established cigarette and SLT users (OR=1.7 [0.8-3.7]), or current/former established exclusive cigarette smokers (OR=0.9 [0.5-1.8]). Current/former established exclusive cigarette smokers were more likely to have had any CVD compared to those who were never established cigarette and SLT users (OR=1.6 [1.1-2.3]).