Preventive, lifestyle, and personal health behaviors among physicians.

OBJECTIVE: This study examines personal health behaviors and wellness, health-related lifestyles, and prevention screening practices among licensed physicians. METHODS: An anonymous questionnaire was mailed to a random sample of 1,875 physicians practicing in California. Data from 763 returned questionnaires (41%) were analyzed. RESULTS: Our data show that 7% of this sample were clinically depressed, 13% reported using sedatives or tranquilizers, over 53% reported severe to moderate stress, and only 38% described their level of daily stress as slight. About 4% self-reported recent marijuana use. More than 6% screened positive for alcohol abuse and 5% for gambling problems. Thirty-five percent of participants reported "no" or "occasional" exercise. About 27% self-reported "never" or "occasionally" eating breakfast. In addition, 34% reported 6 or fewer hours of sleep daily, while 21% self-reported working more than 60 hours per week. Physicians' excessive number of work hours (more than 65 hours per week) was associated with lack of exercise, not eating breakfast, and sleeping fewer than 6 hours per night. California physicians report breast, cervical, colorectal, and prostate cancer screening behaviors that exceeded population estimates in California and Healthy People 2010 national goals. CONCLUSION: Additional interventions designed to improve physicians' lifestyles and personal health behaviors should be encouraged. A focus on creating healthy lifestyles will benefit physicians as much as the general population.

Impact of desire to work in underserved communities on selection of specialty among fourth-year medical students.

OBJECTIVE: The objective of this study was to explore the specific factors that influence medical student's choice of primary care as a specialty. Special attention is given to the influence of desire to work in underserved communities on selection of a specialty. DESIGN AND SETTINGS: A web-based survey of factors affecting choice of specialty was completed by 668 fourth-year students from 32 medical schools. RESULTS: Students interested in primary care reported an increased likelihood of working with underserved populations when compared with other specialties. The independent impact of both student's social compassion attitudes and values, and subjective and reinforcing influences on the selection of primary care, when compared with all other specialties, was strong. Personal practice-oriented considerations showed an independent negative impact on the selection of primary care when compared with surgery and support specialties. Financial considerations strongly influence the selection of support specialties. Medical training experiences showed an independent influence on the selection of surgery over primary care. CONCLUSION: The need for primary care physicians and specialists in underserved communities is considerable. Addressing health disparities in underserved communities requires a concerted effort to increase the availability of primary care providers in these communities. This study observed that primary care practice or specialty selection by medical students is influenced by individual values and subjective external influences other than predicted by medical training alone. This observation necessitates a closer determination of strategies required to ensure an increase in the number of primary care physicians serving underserved communities.

Prevalence of at-risk drinking among a national sample of medical students.

As limited research exists on medical students' substance use patterns, including over-consumption of alcohol, the objective of this study was to determine prevalence and correlates of at-risk drinking among a national sample of medical students, using a cross-sectional, anonymous, Web-based survey. A total of 2710 medical students from 36 U.S. medical schools (1st to 4th year) completed the survey. Included in the instruments was a 10-item scale (AUDIT) to assess at-risk drinking behaviors within the last 12 months. Over 15% of the subjects (n = 412) scored positive for at-risk drinking (>/= 8). Multivariate analysis of the data revealed the following independent predictors were statistically significant (P