Perioperative mental health intervention for depression and anxiety symptoms in older adults study protocol: design and methods for three linked randomised controlled trials.

INTRODUCTION: Preoperative anxiety and depression symptoms among older surgical patients are associated with poor postoperative outcomes, yet evidence-based interventions for anxiety and depression have not been applied within this setting. We present a protocol for randomised controlled trials (RCTs) in three surgical cohorts: cardiac, oncological and orthopaedic, investigating whether a perioperative mental health intervention, with psychological and pharmacological components, reduces perioperative symptoms of depression and anxiety in older surgical patients. METHODS AND ANALYSIS: Adults ≥60 years undergoing cardiac, orthopaedic or oncological surgery will be enrolled in one of three-linked type 1 hybrid effectiveness/implementation RCTs that will be conducted in tandem with similar methods. In each trial, 100 participants will be randomised to a remotely delivered perioperative behavioural treatment incorporating principles of behavioural activation, compassion and care coordination, and medication optimisation, or enhanced usual care with mental health-related resources for this population. The primary outcome is change in depression and anxiety symptoms assessed with the Patient Health Questionnaire-Anxiety Depression Scale from baseline to 3 months post surgery. Other outcomes include quality of life, delirium, length of stay, falls, rehospitalisation, pain and implementation outcomes, including study and intervention reach, acceptability, feasibility and appropriateness, and patient experience with the intervention. ETHICS AND DISSEMINATION: The trials have received ethics approval from the Washington University School of Medicine Institutional Review Board. Informed consent is required for participation in the trials. The results will be submitted for publication in peer-reviewed journals, presented at clinical research conferences and disseminated via the Center for Perioperative Mental Health website. TRIAL REGISTRATION NUMBERS: NCT05575128, NCT05685511, NCT05697835, pre-results.

Lessons Learned from Public Health and State Prison Collaborations during COVID-19 Pandemic and Multifacility Tuberculosis Outbreak, Washington, USA.

The large COVID-19 outbreaks in prisons in the Washington (USA) State Department of Corrections (WADOC) system during 2020 highlighted the need for a new public health approach to prevent and control COVID-19 transmission in the system's 12 facilities. WADOC and the Washington State Department of Health (WADOH) responded by strengthening partnerships through dedicated corrections-focused public health staff, improving cross-agency outbreak response coordination, implementing and developing corrections-specific public health guidance, and establishing collaborative data systems. The preexisting partnerships and trust between WADOC and WADOH, strengthened during the COVID-19 response, laid the foundation for a collaborative response during late 2021 to the largest tuberculosis outbreak in Washington State in the past 20 years. We describe challenges of a multiagency collaboration during 2 outbreak responses, as well as approaches to address those challenges, and share lessons learned for future communicable disease outbreak responses in correctional settings.

Few Prison Systems Release Individual Death Data: Death in Custody Reporting Act Completeness, Speed, and Compliance.

The United States has one of the largest incarcerated populations per capita. Prisons are dangerous environments, with high in-prison and postrelease mortality. The Death in Custody Reporting Acts (DCRAs) of 2000 and 2013 require deaths of people in correctional custody or caused by law enforcement to be reported to the Bureau of Justice Assistance. These deaths must be reported within 3 months of the death and include 10 required fields (eg, age, cause of death). There is no public reporting requirement. Our Third City Mortality project tracks near-real-time data about individual deaths released publicly and prison system metadata, including data completeness and release speed, across (N = 54) US state, federal (N = 2; Bureau of Prisons, Immigration and Customs Enforcement), Washington, District of Columbia, and Puerto Rico prison systems. Twenty-one (38%) systems release no individual death data; 13 systems release incomplete data slower than 1 year; 19 release timely, but incomplete, death data; and only one system (Iowa) releases complete and timely data. Incomplete, untimely, public prison mortality data limit protective community responses and epidemiology.

WHIGET and TETRAS Ratings of Action Tremor in Patients with Essential Tremor: Substantial Association and Agreement.

Background: Evaluating tremor severity is a critical component of diagnosing and clinically managing patients with essential tremor (ET). We examined the comparability of tremor severity ratings derived from two frequently used tremor rating scales: the Washington Heights-Inwood Genetic Study of Essential Tremor (WHIGET) rating scale and the Tremor Research Group Essential Tremor Rating Scale (TETRAS). Methods: A trained assistant administered and videotaped a neurological examination, including eight items assessing upper limb action tremor (arms outstretched, arms in the wingbeat position, finger-nose-finger maneuver, and drawing of Archimedes spirals). An experienced movement disorders neurologist reviewed the videos and assigned WHIGET and TETRAS ratings. We calculated associations between TETRAS and WHIGET ratings using Spearman rank order correlations. Subsequently, we collapsed these ratings into four tremor severity categories (absent, mild, moderate, severe) and then two broader tremor severity categories (absent/mild, moderate/severe). We calculated weighted Kappa coefficients to assess agreement between category assignments based on the TETRAS and the WHIGET. Results: Spearman's r' s were significant for all items (p's ≤ 0.001, mean r = 0.89). Weighted Kappa's revealed substantial to near perfect agreement for all eight items (mean k = 0.86, range = 0.64 to 1.00). Conclusion: Analyses revealed substantial strength of association and substantial to near perfect agreement between items rated with the WHIGET and TETRAS scales. These data indicated that ratings provided by each scale are highly comparable.

Local-scale phylodynamics reveal differential community impact of SARS-CoV-2 in a metropolitan US county.

SARS-CoV-2 transmission is largely driven by heterogeneous dynamics at a local scale, leaving local health departments to design interventions with limited information. We analyzed SARS-CoV-2 genomes sampled between February 2020 and March 2022 jointly with epidemiological and cell phone mobility data to investigate fine scale spatiotemporal SARS-CoV-2 transmission dynamics in King County, Washington, a diverse, metropolitan US county. We applied an approximate structured coalescent approach to model transmission within and between North King County and South King County alongside the rate of outside introductions into the county. Our phylodynamic analyses reveal that following stay-at-home orders, the epidemic trajectories of North and South King County began to diverge. We find that South King County consistently had more reported and estimated cases, COVID-19 hospitalizations, and longer persistence of local viral transmission when compared to North King County, where viral importations from outside drove a larger proportion of new cases. Using mobility and demographic data, we also find that South King County experienced a more modest and less sustained reduction in mobility following stay-at-home orders than North King County, while also bearing more socioeconomic inequities that might contribute to a disproportionate burden of SARS-CoV-2 transmission. Overall, our findings suggest a role for local-scale phylodynamics in understanding the heterogeneous transmission landscape.

Alfred Washington Adson: Perspectives on Intracranial Neurosurgery and the Responsibilities of the Neurosurgeon.

In a period when the budding field of neurosurgery was believed to have little promise, Dr Alfred Washington Adson founded and led the first neurosurgical department at Mayo Clinic. He was not without reservations-surgical intervention for neurological conditions was rarely pursued because of poor outcomes and high complication rates, and Dr Adson acknowledged his early concerns about the future of neurosurgery in his memoirs. However, his education, mentorship, his training, and his first neurosurgical cases helped to shape the impact he ultimately had on the field and his legacy as a neurosurgeon. Dr Adson trained with several renowned Mayo general surgeons, notably his mentor Dr Emil Beckman, whose desire for operative precision shaped Dr Adson's drive to develop his own skills as a surgeon. Two years into his residency, he became the youngest staff surgeon and was tasked with managing the neurosurgical cases at Mayo. The five neurosurgical cases overseen by Dr Adson in the next year illuminated the opportunity for neurosurgery to drastically improve the lives of patients. Dr Adson, given the option of continuing as either a general surgeon or a neurosurgeon, ultimately chose to pursue neurosurgery. This article seeks to provide a historical perspective on the neurosurgeon Dr Alfred Washington Adson using primary and secondary accounts from the Mayo archives, highlighting his contributions to the early understanding of intracranial pathology and how his early experiences as a trainee developed into a personal passion for self-improvement, education, and advocacy for health care in America.

Implementation support for the data-driven components of care in a multisite network of coordinated specialty care programs.

Beyond training providers prior to the roll-out of coordinated specialty care (CSC) for first-episode psychosis in clinical settings, implementation support for data-informed care remains an area that has received very little attention. The current paper describes the development and refinement of implementation support for the data-driven components of care in the New Journeys network, Washington State's CSC model for psychosis, comprised of 14 CSC programs. Using the Evidence-Based System for Innovation Support Logic Model, this paper outlines the individual components for implementation support, tools, training, technical assistance, and quality improvement/evaluation that have been developed for the New Journeys network. We present examples of modifications that have occurred over nine years to address the needs of clients, providers, and state-level network administrators to facilitate the data-driven components of care. We conclude with recommendations based on lessons learned in Washington State aimed at improving implementation of data-driven care in CSC models throughout the USA.

The purpose of this work was to outline the development and strategies used to provide implementation support for the data-driven components of coordinated specialty care programs for early psychosis. We describe the individual use of tools, training, technical assistance, and quality improvement, and how these strategies are used collectively. Based on detailed notes from meetings and correspondence from providers and state-level administrators we present modifications that have occurred to address barriers and needs, essentially using quantitative and qualitative data to inform quality improvement. We then present lessons learned that could be helpful for existing and new coordinated specialty care networks.

Remote surveillance and detection of SARS-CoV-2 transmission among household members in King County, Washington.

BACKGROUND: Early during the COVID-19 pandemic, it was important to better understand transmission dynamics of SARS-CoV-2, the virus that causes COVID-19. Household contacts of infected individuals are particularly at risk for infection, but delays in contact tracing, delays in testing contacts, and isolation and quarantine posed challenges to accurately capturing secondary household cases. METHODS: In this study, 346 households in the Seattle region were provided with respiratory specimen collection kits and remotely monitored using web-based surveys for respiratory illness symptoms weekly between October 1, 2020, and June 20, 2021. Symptomatic participants collected respiratory specimens at symptom onset and mailed specimens to the central laboratory in Seattle. Specimens were tested for SARS-CoV-2 using RT-PCR with whole genome sequencing attempted when positive. SARS-CoV-2-infected individuals were notified, and their household contacts submitted specimens every 2 days for 14 days. RESULTS: In total, 1371 participants collected 2029 specimens that were tested; 16 individuals (1.2%) within 6 households tested positive for SARS-CoV-2 during the study period. Full genome sequences were generated from 11 individuals within 4 households. Very little genetic variation was found among SARS-CoV-2 viruses sequenced from different individuals in the same household, supporting transmission within the household. CONCLUSIONS: This study indicates web-based surveillance of respiratory symptoms, combined with rapid and longitudinal specimen collection and remote contact tracing, provides a viable strategy to monitor households and detect household transmission of SARS-CoV-2. TRIAL REGISTRATION IDENTIFIER: NCT04141930, Date of registration 28/10/2019.

A mixed methods analysis of youth mental health intervention feasibility and acceptability in a North American city: Perspectives from Seattle, Washington.

In March 2021, the Governor of Washington declared a youth mental health crisis. State data revealed high rates of youth suicide and inadequate access to services. This study aims to ascertain the kinds of support across the mental health care continuum recommended by young people and key stakeholders who could assist with implementation in Seattle. We interviewed 15 key informants to identify the contextual, structural, and individual-level factors that increase the risk of poor mental health and deter access to care among youth. We complimented these data with a 25-item survey of 117 participants in King County to assess the feasibility and acceptability of interventions for youth mental health. We conducted a deductive thematic qualitative analysis of the interviews and performed descriptive analyses of the quantitative data, using t-tests and χ2 tests to summarize and compare participant characteristics stratified by age group. Qualitative informants attributed challenges to youth mental health to social isolation and relational problems. Example interventions included creating environments that increase belonging and implementation of culturally congruent mental health services. Quantitative study participants rated all evidence-based mental health interventions presented as highly acceptable. However, youth preferred interventions promoting social connectedness, peer support, and holistic approaches to care, while non-youth preferred interventions focused on suicide, and substance abuse prevention. Key informants and survey participants identified schools as the most important setting for mental health interventions. There were no significant differences among quantitative outcomes. Our findings highlight the need for interventions that reduce isolation and increase social connectedness to support youth mental health. As the city designs youth responsive interventions, schools and digital platforms should be prioritized. Engaging multiple stakeholders, particularly young people, tackling cultural stigma surrounding mental health, and improving access to safe community spaces are important considerations for youth mental health interventions.

Effects of lowering speed limits on crash severity in Seattle.

INTRODUCTION: Effective November 2016, the default speed limit in Seattle was lowered from 25 to 20 mph on nonarterial streets and from 30 to 25 mph on arterial streets, unless otherwise posted. In the downtown area, signs indicating the new speed limit were installed on arterials when the lower default limit took effect. Outside the downtown, new speed limit signs were installed on some arterials starting in 2018. The study evaluated effects of the speed limit reduction on crash severity in Seattle. METHOD: Police-reported crashes in Seattle and three control cities in Washington before and after the speed limit change were examined. Logistic regression analyses evaluated effects of the speed limit reduction on odds that a crash involved a fatal (K), disabling (A), or evident (B) injury inside and outside Seattle's downtown. Separate analyses were performed for all crashes (except those occurring on interstates and freeways), for crashes on arterials, and for crashes on nonarterial roads. RESULTS: The speed limit reduction was associated with a significant 17.2% reduction in odds of a crash involving KAB injury among all crashes and a 19.9% reduction for crashes on arterials in downtown Seattle. There were smaller reductions outside the downtown (7.4% for all crashes and 10.7% for crashes on arterials), but they were not significant. CONCLUSIONS: Communities should consider lowering speed limits to improve safety for all road users. When doing so, they should not wait too long to modify speed limit signs to remind drivers of the new speed limits to maximize the safety benefits.

Quantifying the contributions of road and air traffic to ambient ultrafine particles in two urban communities.

Traffic-related activities are widely acknowledged as a primary source of urban ambient ultrafine particles (UFPs). However, a notable gap exists in quantifying the contributions of road and air traffic to size-resolved and total UFPs in urban areas. This study aims to delineate and quantify the traffic's contributions to size-resolved and total UFPs in two urban communities. To achieve this, stationary sampling was conducted at near-road and near-airport communities in Seattle, Washington State, to monitor UFP number concentrations during 2018-2020. Comprehensive correlation analyses among all variables were performed. Furthermore, a fully adjusted generalized additive model, incorporating meteorological factors, was developed to quantify the contributions of road and air traffic to size-resolved and total UFPs. The study found that vehicle emissions accounted for 29% of total UFPs at the near-road site and 13% at the near-airport site. Aircraft emissions contributed 14% of total UFPs at the near-airport site. Notably, aircraft predominantly emitted UFP sizes below 20 nm, while vehicles mainly emitted UFP sizes below 50 nm. These findings reveal the variability in road and air traffic contributions to UFPs in distinct areas. Our study emphasizes the pivotal role of traffic layout in shaping urban UFP exposure.

Curtobacterium salicis sp. nov., isolated from willow tree stems in Washington state.

Curtobacterium sp. strain WW7 is a Gram-positive, non-motile, orange rod-shaped bacterium isolated from branches of wild willow (Salix sitchensis) trees. The WW7T strain has optimum growth in the temperature range between 25 and 30 °C, a pH range of 6-7.7, and tolerates up to 5.5% (w/v) of NaCl. The genome sequencing of strain WW7T revealed a genome size of approximately 3.8 Mbp and a G + C content of 71.3 mol%. The phylogenomic analyses support the WW7T affiliation to a novel Curtobacterium lineage, with Curtobacterium herbarum being the closest type-strain. Chemotaxonomic analysis indicates that the carbon sources assimilation profile of strain WW7T was similar to the type strains, i.e. Curtobacterium luteum, Curtobacterium albidum, and Curtobacterium flaccumfaciens, while no assimilation of the organic acids succinate, alpha-ketobutyrate, mono methyl-succinate, and lactate was observed. Finally, fatty acid methyl ester analysis identifies anteiso-C15:0 and anteiso-C17:0 as major cellular fatty acids which is a common feature for members of the Curtobacterium genus. Based on the results of phylogenomic and chemotaxonomic analyses, strain WW7T represents a novel Curtobacterium lineage, for which the name Curtobacterium salicis sp. nov. is proposed. The type strain is WW7T (DSM 34805T-NRRL B-68078T).

Working With the Strategy Master-Dr Michael Silverstein MD, MPH [1945-2024].

New Solutions offers a short memorial statement noting the January 2, 2024, death of Dr Michael Silverstein, an internationally known leader in the field of occupational health and safety. Dr Silverstein spent 53 years specializing in the fields of occupational medicine, public health, and general preventive medicine. He was the Assistant Director for Occupational Health and Safety with the United Automobile Workers Union for 15 years. He served as the Director of Policy for the U.S. Occupational Safety and Health Administration (OSHA) during the Clinton Administration. He later served as Director of the Washington State OSHA program for 10 years and was the Assistant Director for Industrial Safety and Health in the Washington State Department of Labor and Industries. A long-time friend of New Solutions, Dr Silverstein was the journal's first Scientific Solutions editor.

Clearing the air: evaluating institutions' social media health messaging on wildfire and smoke risks in the US Pacific Northwest.

BACKGROUND: Wildfire smoke contributes substantially to the global disease burden and is a major cause of air pollution in the US states of Oregon and Washington. Climate change is expected to bring more wildfires to this region. Social media is a popular platform for health promotion and a need exists for effective communication about smoke risks and mitigation measures to educate citizens and safeguard public health. METHODS: Using a sample of 1,287 Tweets from 2022, we aimed to analyze temporal Tweeting patterns in relation to potential smoke exposure and evaluate and compare institutions' use of social media communication best practices which include (i) encouraging adoption of smoke-protective actions; (ii) leveraging numeric, verbal, and Air Quality Index risk information; and (iii) promoting community-building. Tweets were characterized using keyword searches and the Linguistic Inquiry and Word Count (LIWC) software. Descriptive and inferential statistics were carried out. RESULTS: 44% of Tweets in our sample were authored between January-August 2022, prior to peak wildfire smoke levels, whereas 54% of Tweets were authored during the two-month peak in smoke (September-October). Institutional accounts used Twitter (or X) to encourage the adoption of smoke-related protective actions (82% of Tweets), more than they used it to disseminate wildfire smoke risk information (25%) or promote community-building (47%). Only 10% of Tweets discussed populations vulnerable to wildfire smoke health effects, and 14% mentioned smoke mitigation measures. Tweets from Washington-based accounts used significantly more verbal and numeric risk information to discuss wildfire smoke than Oregon-based accounts (p = 0.042 and p = 0.003, respectively); however, Tweets from Oregon-based accounts on average contained a higher percentage of words associated with community-building language (p < 0.001). CONCLUSIONS: This research provides practical recommendations for public health practitioners and researchers communicating wildfire smoke risks on social media. As exposures to wildfire smoke rise due to climate change, reducing the environmental disease burden requires health officials to leverage popular communication platforms, distribute necessary health-related messaging rapidly, and get the message right. Timely, evidence-based, and theory-driven messaging is critical for educating and empowering individuals to make informed decisions about protecting themselves from harmful exposures. Thus, proactive and sustained communications about wildfire smoke should be prioritized even during wildfire "off-seasons."

Trends in Chlamydia trachomatis Treatment Prescribing Practices in King County, Washington, 2010-2018.

BACKGROUND: In 2021, national Chlamydia trachomatis (CT) treatment guidelines changed from recommending either azithromycin (1 g; single dose) or doxycycline (100 mg twice daily for 7 days) to recommending only doxycycline as first-line treatment. The distribution and trends in CT prescribing practices before the guidelines change is largely unknown. METHODS: We conducted a trends analysis using Washington STD surveillance data. We included all female cases of urogenital CT 15 years or older who resided in King County and were diagnosed between 2010 and 2018. Surveillance data included information on demographics, sexual history, clinical features, diagnosing facility (eg, emergency department, family planning), and treatment regimen. We conducted descriptive analyses to examine trends in prescribing practices over time and by facility type. We used Poisson regression to examine the association between CT case characteristics and receipt of receipt of azithromycin. RESULTS: There were 36,830 cases of female urogenital CT during the study period. The percent of cases receiving azithromycin increased significantly from 86% in 2010 to 94% in 2018; the percent receiving doxycycline decreased from 13% to 5%. Five of the 8 facility types prescribed azithromycin to >95% of CT cases by 2018. Cases who were younger or cases of color were more likely to receive azithromycin (versus doxycycline) compared with older and White cases, respectively. CONCLUSIONS: A substantial shift in CT prescribing practices will be needed to adhere to new CT treatment guidelines. Our findings highlight the need for targeted provider education and training to encourage the transition to doxycycline use.

Developing lygus bug control strategies in potatoes: plant variety, vertical distribution effect, and insecticide efficacy studies.

The Columbia Basin of Oregon and Washington is one of the most productive potatoes, Solanum tuberosum L., growing regions in the United States affected by numerous insect pests. Lygus bugs, Lygus spp. (Hemiptera: Miridae), are an increasing problem in potatoes. In 2015, after an outbreak of lygus bugs in potatoes in the Columbia Basin, potato producers used multiple applications of insecticides to control lygus bugs. However, it is poorly researched whether lygus bugs can cause economic damage to the crop. Therefore, our objectives were (i) to determine lygus bugs presence in potato plants, (ii) to determine damage on most commonly grown potato varieties (e.g., Alturas Russet, Ranger Russet, Umatilla Russet, Russet Burbank, and Clearwater Russet), (iii) to determine the number of insecticide applications needed to control lygus bugs, and (iv) to estimate the relationship between lygus bug density and potato yield loss. This study demonstrated that the lygus complex is widely present in the Columbia Basin, Lygus spp. prefers the upper 1/3 section of potato plants in all varieties tested, and the number of applications throughout a field season does not affect yield regardless of variety.

Emergency Room Utilization and Methamphetamine Overdose Symptoms Among Syringe Services Program Participants in Washington State.

BACKGROUND: Methamphetamine overdose can cause severe psychological and physical health issues including psychosis, heart attack, and death. People who use methamphetamine (PWUM) who experience methamphetamine overdose symptoms (MOS) are advised to seek emergency healthcare; however, factors related to seeking care are not well characterized. METHODS: This study used data from the 2021 Washington State Syringe Services Program (SSP) Health Survey, a cross-sectional survey administered to participants at 21 SSPs in Washington (N = 955). Participants answered questions related to substance use including emergency department/room (ER) utilization for methamphetamine use and whether they experienced psychological and physical MOS. Using Poisson regression, we assessed the association between ER utilization for methamphetamine use, non-fatal opioid overdose, and other key covariates among PWUM who experienced MOS. RESULTS: Methamphetamine use in the last three months was reported by 86% of participants. Among PWUM, 31% reported psychological MOS, 19% reported physical MOS, and 37% reported ≥1 MOS in the prior three months. Non-fatal opioid overdose (adjusted prevalence ratio [APR] = 2.04, 95% CI = 1.38-3.03), main drug of goofball (heroin and methamphetamine combined) (APR = 1.98, 95% CI = 1.34-2.92) and recent blood infection/sepsis (APR = 2.07, 95% CI = 1.24-3.46) were associated with ER utilization for MOS. CONCLUSION: Among people who use SSPs in Washington State, methamphetamine use remains high, and MOS are common. Recent non-fatal opioid overdose was positively associated with ER utilization for methamphetamine use among PWUM who experienced MOS. Patients in the ER for MOS should be screened for opioid use disorder and linked with harm reduction supplies like naloxone and medications for opioid use disorder.

Machine learning-driven identification of air toxic combinations associated with asthma symptoms among elementary school children in Spokane, Washington, USA.

Air toxics are atmospheric pollutants with hazardous effects on health and the environment. Although methodological constraints have limited the number of air toxics assessed for associations with health and disease, advances in machine learning (ML) enable the assessment of a much larger set of environmental exposures. We used ML methods to conduct a retrospective study to identify combinations of 109 air toxics associated with asthma symptoms among 269 elementary school students in Spokane, Washington. Data on the frequency of asthma symptoms for these children were obtained from Spokane Public Schools. Their exposure to air toxics was estimated by using the Environmental Protection Agency's Air Toxics Screening Assessment and National Air Toxics Assessment. We defined three exposure periods: the most recent year (2019), the last three years (2017-2019), and the last five years (2014-2019). We analyzed the data using the ML-based Data-driven ExposurE Profile (DEEP) extraction method. DEEP identified 25 air toxic combinations associated with asthma symptoms in at least one exposure period. Three combinations (1,1,1-trichloroethane, 2-nitropropane, and 2,4,6-trichlorophenol) were significantly associated with asthma symptoms in all three exposure periods. Four air toxics (1,1,1-trichloroethane, 1,1,2,2-tetrachloroethane, BIS (2-ethylhexyl) phthalate (DEHP), and 2,4-dinitrophenol) were associated only in combination with other toxics, and would not have been identified by traditional statistical methods. The application of DEEP also identified a vulnerable subpopulation of children who were exposed to 13 of the 25 significant combinations in at least one exposure period. On average, these children experienced the largest number of asthma symptoms in our sample. By providing evidence on air toxic combinations associated with childhood asthma, our findings may contribute to the regulation of these toxics to improve children's respiratory health.

Using Mobile Technology for Family-Based Prevention in Families with Low Incomes: Lessons from a Randomized Controlled Trial of a Childhood Obesity Prevention Program.

Researchers are increasingly using web-based technologies to deliver family-based, prevention programming. Few studies have examined the success of such approaches for families with low incomes. The purpose of this study was to describe the level of in-class and online engagement in a childhood obesity prevention program for parents with low incomes, to examine the demographic correlates of parent engagement, and to examine dosage effects on parental feeding outcomes as a function of online exposure. All participants attended in-class nutrition education classes (Eating Smart · Being Active) as part of the Expanded Food and Nutrition Education Program (EFNEP) in Colorado and Washington State (classes were offered in English and Spanish). Participants in this analysis were 168 parents from a larger cluster randomized controlled trial who had been randomly assigned to also receive a newly developed, mobile-based version of an efficacious, feeding-focused, childhood obesity prevention program. Results showed that despite high levels of in-person attendance (70%), participants only accessed 47% of the videos (online content). Older parents and parents of girls showed higher levels of in-person attendance; currently employed parents showed lower levels. Online engagement varied as a function of ethnicity and acculturation: non-Hispanic parents accessed the most videos, low-acculturated Hispanic parents accessed the second most, and highly acculturated Hispanic parents accessed the least. In contrast, low-acculturated Hispanic parents showed the highest in-person attendance. For all but one outcome, significant online program effects were found only for parents who accessed at least half of the videos. Implications for mobile-based, family-based prevention programs for parents with low incomes are considered.ClinicalTrials.gov Identifier: NCT03170700; Registration Date: March 08, 2017.

Longitudinal associations between adult-supervised drinking during adolescence and alcohol misuse from ages 25-31 years: A comparison of Australia and the United States.

Prior studies suggest that adult supervised drinking in adolescence predicts greater adolescent alcohol misuse. Long-term follow up data examining how adult supervised drinking during adolescence relates to alcohol misuse in adulthood are lacking. Longitudinal data from the International Youth Development Study tested associations between adult supervised drinking during adolescence (ages 13-16; 2002-2004) and adult alcohol misuse (ages 25-31; 2014, 2018, 2020). Cross-nationally matched samples were compared in Washington State, USA (n = 961) and Victoria, Australia (n = 1,957; total N = 2,918, 55 % female, 83 % White), where adult-supervised adolescent alcohol use was more common. Multilevel analyses adjusted for state, sex, adolescent drinking, parent education, family management, family history of substance use problems, and parent alcohol-related norms. Adult supervised drinking in adolescence (at dinner or parties, on holidays) predicted more adult alcohol misuse (mean Alcohol Use Disorders Identification Test score; b[SE] 0.07[0.03]; p = 0.004) and higher rates of alcohol-impaired driving (Odds Ratio [OR] 1.501, p = 0.034) and riding with an alcohol-impaired driver (OR 1.669, p = 0.005), but not the use of strategies to moderate alcohol intake (e.g., counting drinks). Better family management (monitoring, clear rules) in adolescence predicted less adult alcohol misuse. Associations were similar in the two states. Reducing the frequency of adult supervised drinking and improving family management practices in adolescence may help to decrease alcohol misuse well into adulthood. Findings support the widespread implementation of substance use prevention and family management training programs.