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red e-cigarette use. Fruit-flavored e-cigarettes were the most commonly reported flavor among current exclusive e-cigarette users of prefilled pods or cartridges (67.3%; 95% CI, 60.9%-73.0%), disposable e-cigarettes (85.8%; 95% CI, 79.8%-90.3%), and tank-based devices (82.7%; 95% CI, 68.9%-91.1%), followed by mint-flavored e-cigarettes.

These results suggest that although current e-cigarette use decreased during 2019 to 2020, overall prevalence, frequent use, and flavored e-cigarette use remained high. Continued actions are warranted to prevent and reduce e-cigarette use among US youth.

These results suggest that although current e-cigarette use decreased during 2019 to 2020, overall prevalence, frequent use, and flavored e-cigarette use remained high. Continued actions are warranted to prevent and reduce e-cigarette use among US youth.

Personalized interventions that leverage workplace data and environments could improve effectiveness, sustainability, and scalability of employee wellness programs.

To test an automated behavioral intervention to prevent weight gain and improve diet using employee cafeteria purchasing data.

This individual-level randomized clinical trial of a 12-month intervention with 12 months of follow-up was conducted among employees of a hospital in Boston, Massachusetts, who purchased food at on-site cafeterias that used traffic-light labels (ie, green indicates healthy; yellow, less healthy; red, unhealthy). Participants were enrolled September 2016 to February 2018. Data were analyzed from May to September 2020.

For 12 months, participants in the intervention group received 2 emails per week with feedback on previous cafeteria purchases and personalized health and lifestyle tips and 1 letter per month with peer comparisons and financial incentives for healthier purchases. Emails and letters were automatically ntifier NCT02660086.

ClinicalTrials.gov Identifier NCT02660086.

Angina pectoris is associated with morbidity and mortality. Angina prevalence and frequency among contemporary US populations with coronary artery disease (CAD) remain incompletely defined.

To ascertain the angina prevalence and frequency among stable outpatients with CAD.

This cross-sectional survey study involved telephone-based administration of the Seattle Angina Questionnaire-7 (SAQ-7) between February 1, 2017, and July 31, 2017, to a nonconvenience sample of adults with established CAD who receive primary care through a large US integrated primary care network. Data analysis was performed from August 2017 to August 2019.

SAQ-7 administration.

Angina prevalence and frequency were assessed using SAQ-7 question 2. Covariates associated with angina were assessed in univariable and multivariable regression.

Of 4139 eligible patients, 1612 responded to the survey (response rate, 38.9%). The mean (SD) age of the respondents was 71.8 (11.0) years, 577 (35.8%) were women, 1447 (89.8%) spoke English, ng stable outpatients with CAD receiving primary care through an integrated primary care network, 21.2% of surveyed patients reported experiencing angina at least once monthly. Several objective demographic and clinical characteristics were associated with angina frequency. Proactive assessment of angina symptoms using validated assessment tools and estimation of patients at higher risk of suboptimally controlled angina may be associated with reduced morbidity.

Among stable outpatients with CAD receiving primary care through an integrated primary care network, 21.2% of surveyed patients reported experiencing angina at least once monthly. Several objective demographic and clinical characteristics were associated with angina frequency. Proactive assessment of angina symptoms using validated assessment tools and estimation of patients at higher risk of suboptimally controlled angina may be associated with reduced morbidity.

Increasing diversity is beneficial for the health care system and patient outcomes; however, the current leadership gap in oncology remains largely unquantified.

To evaluate the gender, racial, and ethnic makeup of the leadership teams of National Cancer Institute (NCI)-designated cancer centers and compare with the city populations served by each center.

This retrospective cross-sectional study examined gender, race, and ethnicity of leadership teams via publicly available information for NCI-designated cancer centers and compared results with national and city US census population characteristics, as well as active physician data. Data were analyzed in August 2020.

Racial, ethnic, and gender diversity (identified via facial recognition software and manual review) of leadership teams compared with institution rank, location, team member degree(s), and h-index.

All 63 NCI cancer centers were included in analysis, and all had identifiable leadership teams, with a total of 856 members. Selleckchem Tanespimycin Photographs wer found that significant racial and ethnic disparities were present in cancer center leadership positions. Establishing policy, as well as pipeline programs, to address these disparities is essential for change.

Observational studies suggest that statins, which inhibit 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase, may be associated with beneficial effects in many noncardiovascular diseases.

To construct a weighted HMG-CoA reductase (HMGCR) gene genetic risk score (GRS) using variants in the HMGCR gene affecting low-density lipoprotein cholesterol as an instrumental variable for mendelian randomization analyses to test associations with candidate noncardiovascular phenotypes previously associated with statin use in observational studies.

This cohort study included 53 385 unrelated adults of European ancestry with genome-wide genotypes available from BioVU (a practice-based biobank, used for discovery) and 30 444 unrelated adults with European ancestry available in the Electronic Medical Records and Genomics (eMERGE; a research consortium that conducts genetic research using electronic medical records, used for replication). The study was conducted from February 6, 2015, through April 31, 2019; data analysis was performed from August 26, 2019, through December 22, 2020.