Alcohol consumption among adults with a cancer diagnosis in the All of Us Research Program

IMPORTANCE: Alcohol consumption is associated with adverse oncologic and treatment outcomes among individuals with a diagnosis of cancer. As a key modifiable behavioral factor, alcohol consumption patterns among cancer survivors, especially during treatment, remain underexplored in the United States. OBJECTIVE: To comprehensively characterize alcohol consumption patterns among US cancer survivors. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used data from May 6, 2018, to January 1, 2022, from the National Institutes of Health All of Us Research Program, a diverse US cohort with electronic health record (EHR) linkage, and included 15 199 participants who reported a cancer diagnosis and 1839 patients among a subset with EHR data who underwent treatment within the past year of the baseline survey. Data analysis was performed from October 1, 2022, to January 31, 2023. MAIN OUTCOMES AND MEASURES: Prevalence of current drinking and of risky drinking behaviors, including exceeding moderate drinking (\u3e2 drinks on a typical drinking day), binge drinking (≥6 drinks on 1 occasion), and hazardous drinking (Alcohol Use Disorders Identification Test-Consumption [AUDIT-C] score ≥3 for women or ≥4 for men). RESULTS: This study included 15 199 adults (mean [SD] age at baseline, 63.1 [13.0] years; 9508 women [62.6%]) with a cancer diagnosis. Overall, 11 815 cancer survivors (77.7%) were current drinkers. Among current drinkers, 1541 (13.0%) exceeded moderate drinking, 2812 (23.8%) reported binge drinking, and 4527 (38.3%) engaged in hazardous drinking. After multivariable adjustment, survivors who were younger than 65 years, men, or of Hispanic ethnicity or who received a diagnosis before 18 years of age or ever smoked were more likely to exceed moderate drinking (aged \u3c50 years: odds ratio [OR], 2.90 [95% CI, 2.41-3.48]; aged 50-64 years: OR, 1.84 [95% CI, 1.58-2.15]; men: OR, 2.38 [95% CI, 2.09-2.72]; Hispanic ethnicity: OR, 1.31 [95% CI, 1.04-1.64]; aged \u3c18 years at diagnosis: OR, 1.52 [95% CI, 1.04-2.24]; former smokers: OR, 2.46 [95% CI, 2.16-2.79]; current smokers: OR, 4.14 [95% CI, 3.40-5.04]) or binge drink (aged \u3c50 years: OR, 4.46 [95% CI, 3.85-5.15]; aged 50-64 years: OR, 2.15 [95% CI, 1.90-2.43]; men: OR, 2.10 [95% CI, 1.89-2.34]; Hispanic ethnicity: OR, 1.31 [95% CI, 1.09-1.58]; aged \u3c18 years at diagnosis: OR, 1.71 [95% CI, 1.24-2.35]; former smokers: OR, 1.69 [95% CI, 1.53-1.87]; current smokers: OR, 2.27 [95% CI, 1.91-2.71]). Survivors with cancer diagnosed before 18 years of age or who ever smoked were more likely to be hazardous drinkers (aged \u3c18 years at diagnosis: OR, 1.52 [95% CI, 1.11-2.08]; former smokers: OR, 1.83 [95% CI, 1.68-1.99]; current smokers: OR, 2.13 [95% CI, 1.79-2.53]). Of 1839 survivors receiving treatment as captured in the EHR, 1405 (76.4%) were current drinkers, and among these, 170 (12.1%) exceeded moderate drinking, 329 (23.4%) reported binge drinking, and 540 (38.4%) engaged in hazardous drinking, with similar prevalence across different types of cancer treatment. CONCLUSIONS AND RELEVANCE: This cross-sectional study of a diverse US cohort suggests that alcohol consumption and risky drinking behaviors were common among cancer survivors, even among individuals receiving treatment. Given the adverse treatment and oncologic outcomes associated with alcohol consumption, additional research and implementation studies are critical in addressing this emerging concern among cancer survivors

Recent advances in non-surgical management of cancer in the elderly [version 1; referees: 2 approved]

This article summarizes the seminal publications from mid-2016 through 2017 in the area of medical care for older adults with cancer. Areas addressed include chemotherapy tolerance and efficacy in the aged, geriatric fitness assessments, and advancements in palliative and supportive care. The practice-changing finding from this past year’s publications is that antipsychotics should not be used in the management of terminal delirium in older adults receiving palliative care. The other trials demonstrated an improved understanding of the utility of geriatric assessments in patients with cancer, developed the body of information about which chemotherapy agents are safe and effective in older adults (and which are not), and expanded our understanding of good palliative and supportive care

Lifestyle Modifications and Policy Implications for Primary and Secondary Cancer Prevention: Diet, Exercise, Sun Safety, and Alcohol Reduction

Improved cancer treatments and cancer detection methods are not likely to completely eradicate the burden of cancer. Primary prevention of cancer is a logical strategy to use to control cancer while also seeking novel treatments and earlier detection. Lifestyle modification strategies to improve primary prevention and risk reduction for the development of cancer include choosing a healthy diet with an emphasis on plant sources, maintaining a healthy weight throughout life, being physically active, regularly using sunscreen and wearing protective clothing, limiting sun exposure during the hours of 10 AM to 2 PM, avoiding indoor tanning, and reducing or eliminating alcohol use. In addition to continued use of ongoing education of the public, health care providers, and cancer support communities, other policy and public health efforts should be pursued as well. Examples of supported and successful policy approaches are included in this article, including efforts to limit indoor tanning and improve community-wide interventions to reduce ultraviolet radiation exposure as well as to formally support various alcohol policy strategies including increasing alcohol taxes, reducing alcohol outlet density, improving clinical screening for alcohol use disorders, and limiting youth exposure to alcohol marketing and advertising. These prevention strategies are expected to have the largest impact on the development of melanoma as well as breast, colorectal, head and neck, liver, and esophageal cancers. The impact of these strategies as secondary prevention is less well understood. Areas of additional needed research and implementation are also highlighted. Future areas of needed research are the effects of these modifications after the diagnosis of cancer (as secondary prevention)

Amongst eligible patients, age and comorbidity do not predict for dose-limiting toxicity from phase I chemotherapy." Cancer Chemotherapy & Pharmacology 65(4

Abstract Background There are no clear predictors clinicians can use to determine who is more likely to experience doselimiting toxicity (DLT) in phase I chemotherapy clinical trials. Many providers are reluctant to refer older adults to phase I trials because of concerns about the development of toxicity. The goal of this study was to identify clinical and nonclinical factors which were associated with the development of DLT in phase I studies. Methods Patients (pts) were included if they were treated at maximally tolerated dose (MTD) and above. Studies were included only if MTD was reached. Data collected included age, comorbidity (Cumulative Illness Rating Score-Geriatrics), labs at enrollment, height, weight, performance status, cancer type, duration of diagnosis, prior treatment, drug level, smoking status, marital status, mean income, percent of population high school educated as determined by ZIP code, and distance to the phase I trial hospital. Those who did and did not have DLT were compared by bivariate and then multivariate analysis. Results A total of 242 charts were reviewed from 24 cytotoxic chemotherapy studies, and 27 diVerent types of cancer were represented. On bivariate analysis, mean age, household income (higher), weight, body surface area, dose of drug, alkaline phosphatase, hemoglobin, and LDH were signiWcantly associated with DLT (P < 0.05). CIRS-G score was not associated with DLT. In multivariate analysis, dose level (P = 0.004) and distance from the phase I trial hospital (P = 0.04) were still signiWcant predictors of DLT. Age did not predict for severity of DLT. Conclusions Age and comorbidity did not predict for development of DLT in phase I chemotherapy trials. Many of these pts were very Wt, with relatively low CIRS-G scores, so the impact of comorbidity may not have been fully evaluated. Several social and clinical factors may predict for development of DLT. A prospective study is being planned to conWrm these results