Smith, Taryn L.

Objective To estimate the proportion of female patients from Mayo Clinic Family Medicine and Community Internal Medicine clinics who are aware of alcohol use as a breast cancer (BC) risk factor. Patients and Methods One thousand women aged 21 to 70 completed a survey collecting information on demographics, medical/family history, frequency and quantity of alcohol consumption, and other health behaviors. Participants were also asked to grade how likely certain factors were to increase lifetime BC risk. Results Most participants (844/990 [85.3%]) identified a family history of BC as a BC risk factor. In contrast, 48.4% (475/982) identified alcohol use as a BC risk factor. The remaining 51.6% (507/982) reported either they were not sure about alcohol consumption as a risk factor (341/982 [34.7%]), believed that there was no association (143/982 [14.6%]), or believed that alcohol consumption decreases the risk of BC (23/982 [2.3%]). In multivariable analyses, factors associated with awareness of alcohol consumption and BC risk included having never been pregnant ( P = 0.048), more education ( P < 0.001), and higher frequency of alcohol consumption in the past 12 months ( P = 0.005). Conclusion Further education of patients and the public is needed to promote awareness of alcohol as a risk factor for BC.

Cardiovascular disease remains the leading cause of death in women. Given accumulating evidence on sex- and gender-based differences in cardiovascular disease development and outcomes, the need for more effective approaches to screening for risk factors and phenotypes in women is ever urgent. Public health surveillance and health care delivery systems now continuously generate massive amounts of data that could be leveraged to enable both screening of cardiovascular risk and implementation of tailored preventive interventions across a woman’s life span. However, health care providers, clinical guidelines committees, and health policy experts are not yet sufficiently equipped to optimize the collection of data on women, use or interpret these data, or develop approaches to targeting interventions. Therefore, we provide a broad overview of the key opportunities for cardiovascular screening in women while highlighting the potential applications of artificial intelligence along with digital technologies and tools.