BACKGROUND:Adolescents are more likely to use alcohol if close friends are characterized as majority other-sex. The extent to which the association between proportion of other-sex close friends and adolescent alcohol use is directional and/or reciprocal is unclear. Although evidence is mixed for male adolescents, higher proportion of other-sex close friends is associated with increased risk of alcohol use for female adolescents. METHODS:This study examined whether proportion of other-sex close friends and alcohol use predicted each other longitudinally and if associations differed by sex. Participants were 1021 adolescents (Mage = 12.22 years), 52.20% female, 71.36% White non-Hispanic, from a cohort-sequential study. Adolescent alcohol use was measured via progression on alcohol use milestones. Proportion of other-sex close friends was calculated via adolescent report of their three closest friends' sex. A random-intercept cross-lagged panel model tested for reciprocal, longitudinal association between other-sex close friends and alcohol use across six timepoints. Sex differences were examined via a multigroup framework. RESULTS:Alcohol use and proportion of other-sex close friends were relatively stable traits, with other-sex close friends' autoregressive accumulation more pronounced at later timepoints. There were no observed concurrent nor cross-lagged associations, indicating no reciprocal association within individuals. However, there was a positive between-person association, wherein adolescents with a higher proportion of other-sex close friends had, on average, greater alcohol involvement. CONCLUSIONS:Results suggest that the influence of other-sex close friends on alcohol use is a between-, not within-, person process. Thus, theory purporting a within-person reciprocal mechanism may not be pertinent within the context of other-sex close friendships.

BACKGROUND AND OBJECTIVES:Survey research is important in tackling the complexity of the increasing numbers and types of assisted living and residential care communities (ALCs) and the services provided, as well as the staffing challenges affecting long-term care settings. We describe the methodological experience of conducting a nationally representative survey of administrators. RESEARCH DESIGN AND METHODS:The sampling frame was drawn a directory of ALCs that were licensed, certified, or otherwise regulated by states in 2019. From October 2021 to October 2023, the administrator from each randomly selected ALC was mailed a questionnaire about end-of-life care and cover letter with a username and password for web-response if preferred. Tailored follow-up was conducted with nonresponders. RESULTS:A total of 2084 ALCs participated overall response rate = 43.4%. Research staff made a total of 36,258 contacts with administrators in all sampled ALCs for an average of 9 min per contact. The likelihood of obtaining a completed survey increased with additional contact attempts, with the most gains occurring within seven attempts. More contacts were required for large, urban ALCs as well as those with specialized memory care. Accounting for all direct costs, the average cost per survey completion was $195 exclusive of incentives. DISCUSSION AND IMPLICATIONS:To obtain representative, high-quality data about the characteristics of residents and the care provided within the large and growing sector of ALCs, sufficient resources must be available to continue to develop and refine cost-effective, novel survey methods for recruitment and data collection.

OBJECTIVE:In a prior clinical trial, heavy drinkers in a network of first-year college students who had reciprocal network ties with recipients of a brief motivational intervention (BMI) showed a reduction in alcohol use. The objective of the present study was to identify the mechanisms through which this spillover effect occurred. METHOD:Heavy-drinking participants (N = 148) who had a reciprocal network tie (i.e., were close friends) with a BMI intervention recipient or a natural history control were identified (index participants; N = 83), and three models investigated putative mechanisms of change in close friend drinking from baseline to 5-month follow-up: (a) close friend perception of BMI/natural history control index participant past-month maximum number of drinks, (b) community perception of index participant maximum drinks, and (c) change in community perception of index participant maximum drinks from baseline to follow-up. The community perception was the average of available perceptions of the index participant maximum drinks. Models included index participant self-reported change in drinking as a proximal mediator and adjusted for close friend sex. RESULTS:Close friend perception that BMI index participants reduced their drinking was related to their own reductions in drinking. Models with aggregate perception of index participant behavior as mediators were not significant, though significant paths support hypothesized directional effects. CONCLUSIONS:Perception of peer drinking, an established predictor of alcohol use and a mechanism of behavior change in brief interventions, is a possible conduit through which a brief alcohol intervention transmits its spillover effects to close peers. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

BACKGROUND:Alcohol-related content in media is overwhelmingly presented positively, and exposure to this content is linked to adolescent drinking. Yet, less is known about how often adolescents encounter alcohol content via media, how exposure varies across platforms, and how adolescents typically engage with such content. We used ecological momentary assessment (EMA) methods to collect detailed, real-time data about alcohol-related content encountered across a variety of digital media sources. METHODS:High school students recruited through social media (N = 302; mean age = 16.2; 63.9% female sex) completed three 21-day EMA bursts spaced 4 months apart. Participants reported alcohol-related content encountered via scheduled and self-initiated smartphone surveys, yielding 55,352 total reports, including 8792 with alcohol content. We fit multilevel models to evaluate momentary associations between exposure to alcohol content and cognitive outcomes (personal attitudes, perceived peer norms, beliefs that content promotes alcohol use). RESULTS:Nearly all participants (99.3%) reported exposure to alcohol-related content during the monitoring period. The most common sources were Instagram (32.4% of alcohol reports), TikTok (18.1%), and YouTube (7.8%). About one-third of exposures originated from influencers; nearly half of YouTube and Instagram exposures involved industry sources. In-depth engagement (e.g., commenting) with content was rare, although engagement requiring minimal effort ("liking") was endorsed for 25.6% of content reports. Encountering alcohol content on Instagram and Snapchat was associated with personal disapproval of the content; there were few associations with perceived peer norms. Engagement significantly predicted more cognitions favoring alcohol. CONCLUSIONS:Adolescents frequently encounter alcohol content across diverse platforms, often from influencers and industry. Much of the content was believed to promote alcohol use. Although behavioral engagement was limited, exposure was linked to attitudes toward content encountered on some platforms. Greater understanding of components and contexts to be targeted for just-in-time interventions delivered in proximity to in vivo exposures can reduce risk for early alcohol engagement.

BackgroundDigital media frequently contains positive portrayals of alcohol content, which has been shown to be associated with alcohol-related cognitions and behaviors. Because youth are heavy media consumers and have access to unsupervised, repeat viewing of media content on their personal mobile devices, it is critical to understand the frequency of encountering alcohol content in adolescents’ daily lives and how adolescents engage with the content. ObjectiveThis paper outlines the study protocol for examining adolescents’ exposure to alcohol-related content in digital media within their natural environments. MethodsAdolescents (N=302; 31.8% boys, 16.2% nonbinary, 51.3% girls; 25.8% Asian, 3.6% American Indian, 21.5% Black, 4.6% other, 52% White, 25.8% Hispanic or Latinx; mean age 16.21, SD 0.77 y) enrolled in high school were recruited through social media to participate in a prospective study involving bursts of ecological momentary assessment (EMA) reports coupled with longer surveys. We conducted group orientation sessions via videoconference and online surveys, followed by a 21-day EMA period that included scheduled reports across 4 daily time blocks, as well as self-initiated reports on media exposure. Reports of alcohol content exposure included details about the platform, level of engagement, source characteristics, beliefs and perceived norms about the content, the viewing context, and whether the content was sponsored or branded. The participants submitted exposures to alcohol content as an image (screenshot or photo) or text description to be objectively coded. The participants completed a weekly online survey assessing alcohol use and related cognitions. EMA reports will be merged with coded image and text entries and with data from baseline, weekly, and follow-up surveys. Self-reported alcohol exposure will be explored descriptively, and differences in exposure tested across subgroups. Event-level data will be compared with random prompt data to examine differences at times of exposure versus nonexposure. Prospective associations between media alcohol content exposure and alcohol use will be explored over 1-week and 4-month time frames. Mediation of the association between media alcohol exposure and drinking will be tested to explore putative mechanisms. ResultsEMA data collection took place from February 2022 to August 2023. Data management and preliminary analysis are ongoing. Preliminary data were disseminated through conference presentations in 2024-2025 and manuscripts are ongoing with full results anticipated to be published in 2025-2026. ConclusionsBy characterizing adolescents’ real-world exposure to alcohol content in the media, the study provides critical information to develop and implement interventions to target youth behavior that are well suited to delivery via mobile devices. Next steps are to conduct focus groups to understand participants’ lived experience of exposure to media alcohol content and reactions to proposed intervention targets. This study and subsequent qualitative work will launch a program of research to counter the effects of alcohol-related media exposure as experienced by adolescents in an effort to minimize underage alcohol involvement. International Registered Report Identifier (IRRID)DERR1-10.2196/50649

Exploring health-care providers’ perspectives on cannabis use during pregnancy and breastfeeding is essential for improving patient–provider communication on these topics. Twenty medical providers caring for pregnant individuals were recruited to participate in semi-structured key informant interviews, which asked about strategies and challenges caring for pregnant individuals using cannabis. Health-care providers worried about the harmfulness of cannabis during the perinatal period, short appointment times, and having limited evidence-based guidance. In contrast to these concerns, participants worked with their patients to avoid potential punitive actions and reported supporting patient decisions when discussing cannabis use and breastfeeding. More provider-focused evidence-based resources about the health effects of cannabis use during and after pregnancy may strengthen clinical counseling and support patient cessation when appropriate or desired.

Objectives Assisted living is a common place of care for dying residents, with extensive variation in residents' outcomes such as hospice enrollment. This research aimed to gather national evidence about end-of-life care processes in assisted living. Design A national survey of administrators was conducted in 2021-2023, using a random sample proportional to the number of large assisted living communities (≥25 beds) across licenses and states. Setting and Participants Administrators at eligible assisted living communities across the United States as listed in public state registries. Methods Standard measures from existing surveys of residential care were used or adapted from other long-term care settings after cognitive testing, including staffing and admission/retention policies, end-of-life care processes such as protocols for dying and deceased residents, and quality of hospice collaboration. Nonresponse adjusted sampling weights provide nationally representative estimates. Results Among 4796 eligible assisted living communities invited, 2084 administrators completed the survey from all 48 targeted states, a response rate of 43.4%. One in 5 (20.4%) administrators reported no residents dying in the past 12 months, and 15.3% of very large communities (≥100 beds) did not report decedents. Yet, among those caring for dying residents, less than one-third of administrators rated the quality of dying in their community as excellent. Among 1882 communities whose administrators reported collaborating with hospice, 32.0% also responded that hospice always assessed a resident within 24 hours of referral. Conclusions and Implications This national study of administrators highlights important opportunities to improve end-of-life care both as part of assisted living care processes for dying residents and through collaboration with hospice. These novel survey measures will help determine how end-of-life care processes vary along state regulations and shape residents' outcomes.

Unraveling the complex mechanisms by which environmental exposures across the lifespan impact cognition are necessary to uncover pathways to successful aging. While it is known that greater childhood adversity is related to worse adult cognition, the specific pathways through which adversity influences distinct cognitive domains remain unresolved. This study examined the differential roles of childhood general cognitive ability (GCA) and educational attainment in mediating the impact of childhood adversity on adult cognitive performance. Data from the New England Family Study (N = 679), a longitudinal prenatal cohort, were utilized. Childhood adversity scores (birth to age 7) were constructed using prospective assessments of family dysfunction, social determinants of health, and parenting behaviors. Childhood GCA (age 7) was quantified based upon performance on the Wechsler Intelligence Scale for Children. Adult (Mean age = 33.5) measures of semantic memory, episodic memory, perceptual reasoning, and executive function/processing speed were derived using latent factor analysis. A survey-weighted structural equation model was employed to examine childhood GCA and educational attainment as serial mediators of adversity on adult cognition jointly across domains. Childhood GCA was a significant mediator of the relationship between adversity and adult cognition but mediated a greater proportion of the total adversity effect for perceptual reasoning than semantic memory. While educational attainment emerged as an additional mediator of adversity for each domain, pathways through education accounted for a greater proportion of the total indirect effect for executive function/processing speed than perceptual reasoning. These findings identify two early life pathways through which childhood adversity may impact risk for cognitive aging by influencing peak levels of cognition in adulthood.

OBJECTIVE:To examine telehealth adoption and discontinuation by home health agencies (HHAs) during the COVID-19 pandemic in the context of telehealth pre-pandemic diffusion into the industry and its continued use once the pandemic abated. STUDY SETTING AND DESIGN:HHAs nationally, serving the most patients with dementia (averaging 33% of the agency's patients) were surveyed during October 2023 to November 2024. Key variables included the agency's adoption and discontinuation of specific telehealth technologies by year, the reasons for discontinuation, and the reasons for not adopting any telehealth technology, either before or during the pandemic. DATA SOURCES AND ANALYTIC SAMPLE:Data were collected via a web-based survey with telephone follow-ups. We received 791 responses (37% response-rate) and provide descriptive statistics of responses and graphics. PRINCIPAL FINDINGS:By 2019, prior to COVID-19, 183 (23%) of HHAs used telehealth, increasing to 446 (56%) by 2021. Growth occurred mainly in virtual visits. Of those HHAs adopting telehealth, 96 (19%) discontinued use later in the pandemic. Key concerns were about the appropriateness of the patient population and reimbursement. CONCLUSIONS:Patterns of adoption and discontinuation suggest that COVID-19 interrupted the innovation diffusion process of telehealth into home health. Telehealth's future will depend on information about cost-effectiveness and Medicare reimbursement policies.

Social media behaviors may play an important role in the development of cannabis attitudes and behaviors, given the large amount of time adolescents spend on social media. Considering the importance of social interactions during adolescence, perceptions of peer cannabis-related posting may serve as a risk factor for adolescent cannabis use. This study compared perceived friend, typical person, and an adolescent’s own posting of cannabis-related content to social media, and examined how these perceptions were prospectively associated with cannabis willingness and use. This longitudinal study included 435 adolescents in 11th and 12th grade (M age=16.91, 60% female sex assigned at birth, 76% White, 13% Latine) who completed measures of cannabis-related social media posts, perceived peer cannabis use, cannabis willingness, and cannabis use at two time points, 3 months apart. Consistent with the Focus Theory of Normative Conduct, adolescents significantly overestimated how often their friends (28.7%) and the typical person their age (58.8%) posted cannabis content compared to how often they posted cannabis content (8.0%) on social media. Self, but not perceived peer, cannabis-related content posting predicted greater willingness to use cannabis, even after controlling for multiple social media behaviors and offline peer influence. The only significant prospective predictors of cannabis use were prior cannabis willingness and use. Given the results from the present study, prevention efforts may benefit from identifying adolescents who post cannabis content online as they are most likely to be willing to use cannabis, and implementing strategies that address misperceptions of peer cannabis posting behaviors.

Temporal patterns of eating and diet composition are influenced by factors including circadian preference (chronotype) and work schedule, yet their combined influence is unknown. We investigated relationships between chronotype, temporal eating patterns (duration of eating window (DEW), time of first (FEO) and last (LEO) eating occasions), and diet composition on workdays (WD) and work-free days (FD). Non-shift workers (n = 39) completed the Chrononutrition Questionnaire (CNQ) (age: 38.8 ± 17.2 years, BMI: 24.8 ± 4.78 kg/m2, 82% female) that captures chronotype and temporal eating patterns, and returned work diaries (work schedule) and 7-day food diaries (diet composition) after 2 weeks. Twenty-nine participants provided dietary data for at least two work and work-free days. Later chronotype was associated with later FEO on FD (rs = 0.45, p = 0.004), later LEO on FD (rs = 0.60, p < 0.001) and WD (rs = 0.61, p < 0.001), and longer DEW on WD (rs = 0.37, p = 0.024). Relationships between chronotype and diet composition were small. Later FEO was associated with higher % energy from fat (rs = 0.39, p = 0.043) and lower fibre intake (rs = -0.69, p < 0.001) on WD. Later chronotypes had shorter and later eating windows on FD than WD. Our findings suggest that relationships between chronotype, temporal eating patterns, and diet composition differ by day type. Further investigation may inform dietary strategies that are day-specific.

Peer alcohol use, commonly assessed via perceptions of how many drinks peers consume, is a robust predictor of college drinking. These perceptions are formed by in-person exposure to peer drinking but also may be affected by seeing alcohol-related content (ARC) shared on peer social media accounts. Most research assesses exposure by asking about the frequency of ARC sharing by a whole friend group, potentially missing influences from specific friends. Social network methods collect information about specific friends and their behavior but few studies have used these methods to examine the effects of ARC on drinking, nor have they examined potential moderators of this relationship. The purpose of this study was to examine whether perceived frequency of exposure to ARC shared by social network members on social media is associated with participant alcohol use after controlling for network members' self-reported alcohol use, and if participant gender and relationship qualities with network members moderate this association. Participants were 994 college students (Mage = 21.17, SD = 0.47; 61.8 % female; 55.4 % White; 12.3 % Hispanic) who completed a web-based survey. Due to the social network design, network autocorrelation analyses were conducted, which revealed that greater perceived frequency of exposure to network member ARC was significantly associated with higher alcohol quantity above and beyond network members' alcohol use. Peer ARC had a unique association with drinking behavior independent of in-person peer alcohol use, although the cross-sectional design precludes making causal inferences. Clinicians delivering alcohol interventions to college students may wish to discuss exposure to ARC as another important source of peer influence and how media literacy may help reduce the effects.

We are excited to present this proceeding from the 5th National Big Data Health Science Conference that took place during February 2-3, 2024, in Columbia, SC.This conference once again marks a pivotal moment in the intersection of technology, public health, healthcare, and scientific innovation.This year's theme, "Unlocking the Power of Big Data in Health: Empowering Scientific and Healthcare Communities with Data Analytics, " is appropriate for this time and space, considering the astronomical growth in data and computing technologies we have experienced in the last decade.We want to recap and highlight a few things that have happened since our last conference (February 11-12, 2023, Columbia, SC): • Words like Artificial Intelligence, ChatGPT, and Machine Learning have become ubiquitous for the US population [1,2], • Digitization of healthcare Big Data is growing rapidly, • The healthcare industry continues to generate "petabytes" of data representing about 30% of the world's data, with significant increases in data volume experienced in areas like, References

AIM:Study the association between neighbourhood risk and behaviour in extreme preterm (EPT) children. We hypothesised that EPT children living in high-risk neighbourhoods have increased risk of clinical range behaviour problems at age 30-36 months. METHODS:Retrospective analyses of Child Behavior Checklist (CBCL)scores for 739 EPTs born 2005-2016. Addresses were geocoded to identify census block groups and create high versus low-risk groups. Regression analyses assessed the impact of neighbourhood risk on behaviour. RESULTS:Children from high-risk (N = 272, 39%) and low-risk (N = 417, 61%) neighbourhoods were compared. In adjusted analyses, odds of clinical range scores remained greater in high-risk neighbourhoods for Emotionally Reactive (OR: 4.32, CI: 1.13, 16.51), Somatic Complaints (2.30, CI 1.11,4.79), Withdrawn (OR: 2.56, CI: 1.21, 5,42), Aggressive Behaviour (OR: 4.12, CI: 1.45, 11.68), Internalising (OR: 1.96, CI: 1.17, 3.28), and Total score (OR: 1.86, OR: CI: 1.13, 3.07). Cognitive delay was higher in high-risk neighbourhoods and a risk factor for Attention Problems (2.10,1.08, 4.09). Breast milk was protective for Emotionally Reactive (OR: 0.22, CI: 0.06, 0.85) and Sleep Problems (OR: 0.47, CI:0.24, 0.94). CONCLUSION:Neighbourhood risk provided an independent contribution to preterm adverse behaviour outcomes with cognitive delay an additional independent risk factor. Breast milk at discharge was protective.

ABSTRACT Background The COVID‐19 pandemic negatively affected adolescent mental health due to school closures, isolation, family loss/hardships, and reduced health care access. Methods We compared adolescent mental health in Rhode Island before versus during the pandemic, separately among middle and high schoolers. This serial cross‐sectional study used Youth Risk Behavior Survey data from 2019 and 2021 (N = 7403). Multivariable logistic regression models estimated the association between year and mental health status, adjusting for sociodemographics. Results Middle schoolers in 2021 had higher odds of ever seriously considering suicide (22.6% vs 16.7%) and ever attempting suicide (9.3% vs 6.1%) compared to 2019. Among high schoolers, those in 2021 had higher odds of experiencing persistent sadness/hopelessness in the past year (37.4% vs 32.0%). However, high schoolers in 2019 and 2021 had similar odds of considering suicide in the past year, while those in 2021 had lower odds of having attempted suicide in the past year (8.5% vs 14.6%). Conclusion The COVID‐19 pandemic may have worsened multiple aspects of adolescent mental health in Rhode Island, particularly among middle schoolers. Implications for school health policy, practice, and equity Promoting school connectedness, creating supportive environments, and diversifying the mental health workforce may help overcome adverse pandemic effects.

INTRODUCTION:Prior studies have not examined blood lead levels (BLL) in the preterm population relative to their developmental and behavioral outcomes. METHODS:Neonatal demographic and clinical characteristics and results on scales of intelligence, development, and behavior were compared between children born ≤32 weeks gestation (n=354) with detected lead levels in childhood of ≥5 µg/dL (n=37, 10%) and <5 µg/dL (n=317, 90%). RESULTS:The 10% rate of BLL ≥5 µg/dL for this cohort was higher than rates previously reported for the general population, and was associated with low SES. Preterm infants with a lead level of ≥5 µg/dL were twice as likely to score in the borderline to clinical range for sleep problems on the Childhood Behavioral Checklist. CONCLUSIONS:Robust screening and follow-up may protect against negative developmental outcomes in the setting of elevated lead levels. The association of higher lead levels with poor sleep supports continued lead screening efforts and appropriate support services for preterm children.

Study the association between neighbourhood risk and behaviour in extreme preterm (EPT) children. We hypothesised that EPT children living in high-risk neighbourhoods have increased risk of clinical range behaviour problems at age 30–36 months. Retrospective analyses of Child Behavior Checklist (CBCL)scores for 739 EPTs born 2005–2016. Addresses were geocoded to identify census block groups and create high versus low-risk groups. Regression analyses assessed the impact of neighbourhood risk on behaviour. Children from high-risk ( N  = 272, 39%) and low-risk ( N  = 417, 61%) neighbourhoods were compared. In adjusted analyses, odds of clinical range scores remained greater in high-risk neighbourhoods for Emotionally Reactive (OR: 4.32, CI: 1.13, 16.51), Somatic Complaints (2.30, CI 1.11,4.79), Withdrawn (OR: 2.56, CI: 1.21, 5,42), Aggressive Behaviour (OR: 4.12, CI: 1.45, 11.68), Internalising (OR: 1.96, CI: 1.17, 3.28), and Total score (OR: 1.86, OR: CI: 1.13, 3.07). Cognitive delay was higher in high-risk neighbourhoods and a risk factor for Attention Problems (2.10,1.08, 4.09). Breast milk was protective for Emotionally Reactive (OR: 0.22, CI: 0.06, 0.85) and Sleep Problems (OR: 0.47, CI:0.24, 0.94). Neighbourhood risk provided an independent contribution to preterm adverse behaviour outcomes with cognitive delay an additional independent risk factor. Breast milk at discharge was protective.

Adverse childhood experiences (ACEs) are associated with externalizing behaviors. Whereas some ACEs affect individual children (i.e., child-specific; e.g., failing a grade), others affect the family unit (i.e., family-wide; e.g., parent losing a job); effects of ACEs on externalizing behavior may manifest differently across groupings of ACEs. Moreover, birth order may modify the association between child-specific and family-wide ACEs and externalizing behavior due to differences in the experience of being a younger versus older sibling. This study examined the externalizing behavior of siblings in relation to their experiences of child-specific and family-wide ACEs to test the hypothesis that younger siblings are at greater risk for developing externalizing symptoms following familial ACE exposure. Participants were 61 sibling pairs (younger sibling Mage = 11.37 years, 44.1% male; older sibling Mage = 13.1 years, 52.5% male) recruited from six schools in the northeastern United States. Parents rated each child’s externalizing behaviors (e.g., bullying, meanness) and retrospectively reported on each child’s experience of 34 ACEs; two raters categorized ACEs as child-specific (n = 10) or family-wide (n = 24). Multilevel modeling revealed that both child-specific and family-wide ACEs were associated with increased externalizing behaviors. Birth order moderated the effect of family-wide (but not child-specific) ACEs on externalizing behaviors, independent of sex and age. Externalizing behavior was higher for younger siblings as compared with older siblings, particularly when a high number of ACEs (6+) were reported. This research should prompt future exploration of mechanistic theories of the impact of family-wide and child-specific ACEs and the role of birth order.

BACKGROUND:Although viral infections, including SARS-CoV-2, can cause persistent symptoms and functional limitations, the impact of post-viral syndromes on workplaces is uncertain. METHODS:We conducted a cross-sectional study of workplaces in Rhode Island in the D&B Hoovers database (September-October 2022). Eligible workplaces had ≥1 contact with a valid email address and ≥2 paid employees. Participants completed a survey on the impact of Long COVID (post-viral syndrome of SARS-CoV-2) on their workplace. RESULTS:Of 6,149 eligible workplaces, 484 (8%) participated. Awareness of Long COVID among workplace leaders was limited. Overall, 28% of workplaces had any employees report having Long COVID. Of those, 14% had ≥1 employee discontinue employment, 45% had ≥1 employee reduce their workload, and 22% had ≥1 employee request an accommodation due to having Long COVID; 80% of employers reported improvement in employee productivity with accommodations. CONCLUSION:Pandemic preparations for the long-term impacts of post-viral syndromes should consider workplace settings.