BACKGROUND: Treatment for lung cancer can improve prognosis, but 5-year survival remains low at 26%. An examination of treatment using data with higher population coverage, and among a broader number of treatment modalities and individual characteristics, would provide greater insight into differences in lung cancer treatment. RESEARCH QUESTION: Among adults diagnosed with lung cancer, how does reported receipt of lung cancer treatment differ by sociodemographic characteristics? STUDY DESIGN AND METHODS: We used 2015-2020 National Program of Cancer Registry data covering 89% of the US population to describe first-course treatment among people aged ≥ 20 years and diagnosed with lung and bronchus cancer. We performed multivariable logistic regression to examine associations between sociodemographic characteristics and treatment received. RESULTS: Among 1,068,155 people diagnosed with lung cancer, 22% received surgery, 41% received chemotherapy, 40% received radiation, 13% received immunotherapy, and 75% received at least one of the four treatments. People who were aged ≥ 45 years (OR range, 0.08-0.67); were of American Indian or Alaska Native (OR, 0.82; 95% CI, 0.77-0.87), Black (OR, 0.82; 95% CI, 0.81-0.84), or Hispanic (OR, 0.80; 95% CI, 0.78-0.82) race/ethnicity; resided in a nonmetropolitan county (OR, 0.98; 0.96-0.99); resided in the bottom 25% (OR, 0.80; 95% CI, 0.78-0.81) and middle 50% (OR, 0.87; 95% CI, 0.86-0.88) of counties by economic status (considers unemployment rate, per capita market income, and poverty rate); and in the West US census region (OR, 0.95; 95% CI, 0.94-0.97) had significantly lower odds of receiving at least one of the four treatments. INTERPRETATION: Chemotherapy and radiation were the most common types of first-course treatment reported. Receipt of at least one of the four treatments examined was lower among several groups, including certain racial and ethnic groups and those residing in counties with lower economic status. Future studies might further identify and intervene on factors underlying differences.

In addition to oropharyngeal cancers, evidence suggests there may be an etiologic role for human papillomavirus (HPV) in some other head and neck cancers arising from the oral cavity and larynx. We estimated the burden of HPV16-attributable cancers of the oral cavity (ICD-O-3 site codes C02.0-C02.3, C02.9, C03.0, C03.1, C03.9, C04.0, C04.1, C04.8, C04.9, C05.0, C05.8, C05.9, C06.0-C06.2, C06.8, C06.9) and larynx (C32.0-C32.3, C32.8, C32.9) in the United States by pooling estimates from published case studies to calculate HPV16-attributable fractions (HPV16-AFs) and applying the HPV16-AFs to 2016-2020 US Cancer Statistics data. During 2016-2020, of an average annual number of 12,612 oral cavity cancers, 3.9% (n = 497) were estimated to be attributable to HPV16. Of an average annual number of 11,170 laryngeal cancers, 2.8% (n = 309) were estimated to be attributable to HPV16. This information can improve surveillance of HPV16-attributable cancers in the US population and inform our understanding of the potential impact of HPV vaccination on cancers at these two sites.

PURPOSE: Cancer incidence declined during the COVID-19 pandemic in part due to health care delivery challenges. We examined the impact of the COVID-19 pandemic on changes in lung cancer incidence. METHODS: We used 2019-2020 US Cancer Statistics data from 49 cancer registries covering 97% of the US population. We calculated the number of new lung cancer diagnoses in 2019 and 2020, age-adjusted lung cancer incidence rates per 100,000 persons, and 2019-to-2020 percentage changes in incidence rates. We also calculated number and percentage of new lung cancer diagnoses by month and stage at diagnosis. RESULTS: The age-adjusted lung cancer incidence rate per 100,000 persons was 47.9 in 2019 vs. 41.4 in 2020-a 13.6% decrease. Differences in the percentage change in incidence rates were observed by age, race and ethnicity, US census region, histology, and stage at diagnosis. A higher percentage of people were diagnosed at distant stage in 2020 than 2019. CONCLUSIONS: This report provides new insight into subgroups that experienced the greatest decline in observed lung cancer incidence during the first year of the COVID-19 pandemic. The findings can be used to inform intervention efforts to improve lung cancer screening, diagnosis, and treatment.

INTRODUCTION: Over 30 million U.S. working adults use tobacco, and tobacco use varies by occupation. Limited information is available on employment characteristics and tobacco use prevalence. The purpose of this study was to describe the prevalence of current tobacco use by employment characteristics and occupation group among U.S. working adults. METHODS: This cross-sectional study used 2021 National Health Interview Survey data for currently working adults (n=16,461) analyzed in 2023. Multivariable logistic regression was used to estimate adjusted odds of tobacco use by employment characteristics and occupation group. RESULTS: In 2021, 20.0% of working adults used tobacco. Any tobacco use was significantly lower among workers who were offered workplace health insurance (aOR=0.86, 95% CI=0.77-0.97), had paid sick leave (aOR=0.81, 95% CI=0.73-0.91), and government vs. private employment (aOR=0.61, 95% CI=0.52-0.70). Any tobacco use was significantly higher among workers who usually worked ≥35 hours per week vs. did not usually work ≥35 hours per week (aOR=1.21, 95% CI=1.06-1.39), worked a rotating or 'some other' shift vs. daytime shift (aOR=1.19, 95% CI=1.02-1.38), experienced schedule instability (aOR=1.17, 95% CI=1.03-1.31), and worked while physically ill in the past 3 months (aOR=1.25, 95% CI=1.11-1.41). Tobacco use by employment characteristics also varied by occupation group. CONCLUSIONS: Current tobacco use varied according to employment characteristics and occupation group. Findings from this study could inform workplace tobacco cessation interventions and policies (e.g., access to paid sick leave or insurance coverage) to better support tobacco cessation and overall worker health.

On May 17, 2022, the Massachusetts Department of Health announced the first suspected case of monkeypox associated with the global outbreak in a U.S. resident. On May 23, 2022, CDC launched an emergency response (1,2). CDC's emergency response focused on surveillance, laboratory testing, medical countermeasures, and education. Medical countermeasures included rollout of a national JYNNEOS vaccination strategy, Food and Drug Administration (FDA) issuance of an emergency use authorization to allow for intradermal administration of JYNNEOS, and use of tecovirimat for patients with, or at risk for, severe monkeypox. During May 17-October 6, 2022, a total of 26,384 probable and confirmed* U.S. monkeypox cases were reported to CDC. Daily case counts peaked during mid-to-late August. Among 25,001 of 25,569 (98%) cases in adults with information on gender identity,(†) 23,683 (95%) occurred in cisgender men. Among 13,997 cisgender men with information on recent sexual or close intimate contact,(§) 10,440 (75%) reported male-to-male sexual contact (MMSC) ≤21 days preceding symptom onset. Among 21,211 (80%) cases in persons with information on race and ethnicity,(¶) 6,879 (32%), 6,628 (31%), and 6,330 (30%) occurred in non-Hispanic Black or African American (Black), Hispanic or Latino (Hispanic), and non-Hispanic White (White) persons, respectively. Among 5,017 (20%) cases in adults with information on HIV infection status, 2,876 (57%) had HIV infection. Prevention efforts, including vaccination, should be prioritized among persons at highest risk within groups most affected by the monkeypox outbreak, including gay, bisexual, and other men who have sex with men (MSM); transgender, nonbinary, and gender-diverse persons; racial and ethnic minority groups; and persons who are immunocompromised, including persons with advanced HIV infection or newly diagnosed HIV infection.

BACKGROUND: Federally funded health centers (HCs) provide care to the most vulnerable populations in the U.S., including populations with disproportionately higher smoking prevalence such as those with lower incomes. METHODS: This study compared characteristics of adult HC patients, by cigarette smoking status, and assessed smoking cessation-related behaviors using 2014 Health Center Patient Survey data; analysis was restricted to adults with data on cigarette smoking status (n = 5583). Chi-square and logistic regression analyses were conducted. RESULTS: Overall, 28.1 % were current smokers and 19.2 % were former smokers. Current smokers were more likely to report fair/poor health (48.2 %) and a high burden of behavioral health conditions (e.g., severe psychological distress 23.9 %) versus former and never smokers. Most current smokers reported wanting to quit in the past 12 months (79.0 %) and receiving advice to quit from a healthcare professional (78.7 %). In a multivariable model, age <45, non-white race, COPD diagnosis, and past 3-month marijuana use were significantly associated with desire to quit. Few former smokers (15.2 %) reported using cessation treatment, though use was higher among those who quit within the previous year (30.6 %). CONCLUSIONS: Although most current smokers reported a desire to quit, low uptake of evidence-based treatment may reduce the number who attempt to quit and succeed. Given the burden of tobacco use, future efforts could focus on identifying and overcoming unique personal, healthcare professional, or health system barriers to connecting them with cessation treatments. Increasing access to cessation treatments within HCs could reduce smoking-related disparities and improve population health.