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Few North Carolinians have been as well known or as widely respected as William Friday (1920-2012). The former president of the University of North Carolina remained prominent in public affairs in the state and elsewhere throughout his life and ranked as one of the most important American university presidents of the post-World War II era. In the second edition of this comprehensive biography, William Link traces Friday's long and remarkable career and commemorates his legendary life.Friday's thirty years as president of the university, from 1956 to 1986, spanned the greatest period of growth for higher education in American history, and Friday played a crucial role in shaping the sixteen-campus UNC system during that time. Link also explores Friday's influential work on nationwide commissions, task forces, and nonprofits, and in the development of the National Humanities Center and the growth of Research Triangle Park.This second edition features a new introduction and epilogue to enrich the narrative, charting the later years of Friday's career and examining his legacy in North Carolina and nationwide.

This biography traces the accomplishments of William Friday, the president of the University of North Carolina from 1956 to 1986. It focuses on his work at the university, in state policy making, in the development of Research Triangle Park, and on national higher education committees.

William Friday: Power, Purpose, and American Higher Education.

Objectives. We assessed the impact of trying electronic cigarettes (e-cigarettes) on future cigarette smoking in a sample of smokers enrolled in college. Methods. In this longitudinal study, first-semester college students at 7 colleges in North Carolina and 4 in Virginia completed a baseline survey and 5 follow-up surveys between fall 2010 and fall 2013. Current cigarette smoking at wave 6 was the primary outcome. Participants (n = 271) reported current cigarette smoking at baseline and no history of e-cigarette use. We measured trying e-cigarettes at each wave, defined as use in the past 6 months. Results. By wave 5, 43.5% had tried e-cigarettes. Even after controlling for other variables associated with cigarette smoking, trying e-cigarettes was a significant predictor of cigarette smoking at wave 6 (adjusted odds ratio [AOR] = 2.48; 95% confidence interval [CI] = 1.32, 4.66), as were friends’ cigarette smoking (AOR = 4.20; 95% CI = 2.22, 7.96) and lifetime use of other tobacco products (AOR = 1.63; 95% CI = 1.22, 2.17). Conclusions. Trying e-cigarettes during college did not deter cigarette smoking and may have contributed to continued smoking.

SARS-CoV-2, the causative agent of Covid-19, is shed from infected persons in respiratory droplets, feces, and urine. Using quantitative PCR (qPCR), our group hypothesized that we could detect SARS-CoV-2 in wastewater samples collected on a university campus prior to the detection of the virus in individuals on campus. Wastewater samples were collected 3 times a week from 5 locations on the main campus of the University of North Carolina Wilmington (UNCW) from July 24, 2020 to December 21, 2020. Post-collection, total RNA was extracted and SARS-CoV-2 RNA in the samples was detected by qPCR. SARS-CoV-2 signal was detected on campus beginning on August 19 as classes began and the signal increased in both intensity and breadth as the Fall semester progressed. A comparison of two RNA extraction methods from wastewater showed that SARS-CoV-2 was detected more frequently on filter samples versus the direct extracts. Aligning our wastewater data with the reported SARS-CoV-2 cases on the campus Covid-19 dashboard showed the virus signal was routinely detected in the wastewater prior to clusters of individual cases being reported. These data support the testing of wastewater for the presence of SARS-CoV-2 and may be used as part of a surveillance program for detecting the virus in a community prior to an outbreak occurring and could ultimately be incorporated with other SARS-CoV-2 metrics to better inform public health enabling a quick response to contain or mitigating spread of the virus.

Smoking is associated with incident heart failure (HF), yet limited data are available exploring the association between smoking status and long-term outcomes in HF with reduced vs. preserved ejection fraction (i.e., HFrEF vs. HFpEF). We performed a retrospective analysis of HF patients undergoing coronary angiography from 1990–2010. Patients with coronary artery disease (CAD) and HF were stratified by EF (< 50% vs. ≥50%), smoking status (prior/current vs. never smoker), and level of smoking (light/moderate vs. heavy). Time-from-catheterization-to-event was examined using Cox proportional hazard modeling for all-cause mortality (ACM), ACM/myocardial infarction/stroke (MACE), and ACM/HF hospitalization with testing for interaction by HF-type (HFrEF vs. HFpEF). Of 14,406 patients with CAD and HF, 85% (n = 12,326) had HFrEF and 15% (n = 2080) had HFpEF. At catheterization, 61% of HFrEF and 57% of HFpEF patients had a smoking history. After adjustment, there was a significant interaction between HF-type and the association between smoking status and MACE (interaction P = .009). Smoking history was associated with increased risk for MACE in patients with HFrEF (adjusted hazard ratio [HR] 1.18 [1.12–1.24]), but not HFpEF (HR 1.01 [0.90–1.12]). Active smokers had increased mortality following adjustment compared to former smokers regardless of HF-type (HFrEF HR 1.19 [1.06–1.32], HFpEF HR 1.30 [1.02–1.64], interaction P = .50). Heavy smokers trended towards increased risk of adverse outcomes versus light/moderate smokers; these findings were consistent across HF-type (interaction P > .12). Smoking history was independently associated with worse outcomes in HFrEF but not HFpEF. Regardless of HF-type, current smokers had higher risk than former smokers.

E-cigarettes are relatively new products that simulate the smoking experience. This descriptive study assessed changes in e-cigarette availability and promotions among retailers in 11 college communities in North Carolina and Virginia during a 1-year period. During the spring of 2012 and 2013, observers completed assessments in 320 tobacco-selling retailers, including grocery and convenience stores, pharmacies, and tobacco shops. Assessors collected e-cigarette availability, advertising, price, and promotions. E-cigarette availability increased among retailers from 24.7% in 2012 to 59.9% in 2013. They were available in the form of disposables and reusable kits and were most frequently available in tobacco shops, convenience stores, and pharmacies. The average price for disposables was $9.70 (SD = 1.07) in 2012 and $9.61 (SD = 2.10) in 2013; the average price for kits was $39.58 (SD = 15.79) in 2012 and $32.59 (SD = 18.65) in 2013. The presence of interior advertising increased from 12.7% to 50.6% (p < .0001), and the presence of exterior advertising increased from 7.6% to 22.8% (p = .0002). Convenience stores with gas (16.4%-70.4%; p < .0001) and without gas (6.0%-48.4%; p < .0001) had significant increases in the presence of interior advertising. Convenience stores with gas also had a significant increase in the presence of exterior advertising (8.2%-33.3%; p < .0001). Only 3% of retailers offered price promotions. Availability of e-cigarettes, including rechargeable kits and disposables, more than doubled during the study. The presence of interior and exterior advertising also significantly increased. Results underscore the need for further surveillance to understand how these environmental characteristics impact individual exposure and use of e-cigarettes.

Climate change and its associated impacts on human health are serious and growing challenges. Yet, despite elevated health disparities, unique underlying vulnerabilities, and distinctive ecosystems, little research has been conducted in rural mountain environments to understand climate-health interactions. The climate change and health workshop in rural mountain environments was held at Appalachian State University in Boone, North Carolina, United States, to address these research gaps. Experts, community members, and students from diverse disciplines engaged in World Café brainstorms and open-ended discussions to highlight needs across seven research priority themes, which focused on rural southern Appalachia but are applicable to other rural mountain environments: (1) anticipating climate change-driven environmental changes specific to rural mountain environments; (2) identifying and reaching vulnerable populations; (3) building health care access security during weather disasters; (4) building mental health support security in the context of climate change; (5) vector-borne disease resilience; (6) building food security in the context of climate change; and (7) public education and conversations of climate change. This report summarizes the workshop findings and provides a template for future research at the intersection of climate and health, including but not limited to establishing multi-sector and interdisciplinary working groups with clear objectives, enhancing knowledge and understanding of key issues, as well as acting collaboratively and engaging with stakeholders to build resilience in rural mountain environments to address the effects of climate change on human health.

On university campuses and in similar congregate environments, surveillance testing of asymptomatic persons is a critical strategy (1,2) for preventing transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19). All students at Duke University, a private research university in Durham, North Carolina, signed the Duke Compact (3), agreeing to observe mandatory masking, social distancing, and participation in entry and surveillance testing. The university implemented a five-to-one pooled testing program for SARS-CoV-2 using a quantitative, in-house, laboratory-developed, real-time reverse transcription-polymerase chain reaction (RT-PCR) test (4,5). Pooling of specimens to enable large-scale testing while minimizing use of reagents was pioneered during the human immunodeficiency virus pandemic (6). A similar methodology was adapted for Duke University's asymptomatic testing program. The baseline SARS-CoV-2 testing plan was to distribute tests geospatially and temporally across on- and off-campus student populations. By September 20, 2020, asymptomatic testing was scaled up to testing targets, which include testing for residential undergraduates twice weekly, off-campus undergraduates one to two times per week, and graduate students approximately once weekly. In addition, in response to newly identified positive test results, testing was focused in locations or within cohorts where data suggested an increased risk for transmission. Scale-up over 4 weeks entailed redeploying staff members to prepare 15 campus testing sites for specimen collection, developing information management tools, and repurposing laboratory automation to establish an asymptomatic surveillance system. During August 2-October 11, 68,913 specimens from 10,265 graduate and undergraduate students were tested. Eighty-four specimens were positive for SARS-CoV-2, and 51% were among persons with no symptoms. Testing as a result of contact tracing identified 27.4% of infections. A combination of risk-reduction strategies and frequent surveillance testing likely contributed to a prolonged period of low transmission on campus. These findings highlight the importance of combined testing and contact tracing strategies beyond symptomatic testing, in association with other preventive measures. Pooled testing balances resource availability with supply-chain disruptions, high throughput with high sensitivity, and rapid turnaround with an acceptable workload.

Background The Wake‐Up T2MI Registry is a retrospective cohort study investigating patients with type 2 myocardial infarction (T2MI), acute myocardial injury, and chronic myocardial injury. We aim to explore risk stratification strategies and investigate clinical characteristics, management, and short‐ and long‐term outcomes in this high‐risk, understudied population. Methods From 1 January 2009 to 31 December 2010, 2846 patients were identified with T2MI or myocardial injury defined as elevated cardiac troponin I with at least one value above the 99th percentile upper reference limit and coefficient of variation of 10% (>40 ng/L) and meeting our inclusion criteria. Data of at least two serial troponin values will be collected from the electronic health records to differentiate between acute and chronic myocardial injury. The Fourth Universal Definition will be used to classify patients as having (a) T2MI, (b) acute myocardial injury, or (c) chronic myocardial injury during the index hospitalization. Long‐term mortality data will be collected through data linkage with the National Death Index and North Carolina State Vital Statistics. Results We have collected data for a total of 2205 patients as of November 2018. The mean age of the population was 65.6 ± 16.9 years, 48% were men, and 64% were white. Common comorbidities included hypertension (71%), hyperlipidemia (35%), and diabetes mellitus (30%). At presentation, 40% were on aspirin, 38% on β‐blockers, and 30% on statins. Conclusion Improved characterization and profiling of this cohort may further efforts to identify evidence‐based strategies to improve cardiovascular outcomes among patients with T2MI and myocardial injury.