
In a national survey of physicians, we found that professional satisfaction differed by physician race and ethnicity. Asian or Pacific Islander physicians reported lower job satisfaction and higher stress than white physicians, while Hispanic physicians were significantly more satisfied with their jobs and careers than white physicians. Black physicians did not exhibit a significant difference in job or career satisfaction or stress. Although the differences in mean satisfaction scores across groups appeared small, previously published results from the PWS indicate that these differences in satisfaction may be an indication of significant underlying discontent, as measured by intent to leave a job or low perceived health. For example, a decrease of 0.3 points in job satisfaction (the unadjusted difference observed between white and Asian or Pacific Islander physicians) was associated with a 16% increase in the odds of planning to leave direct patient care within the next five years. These findings are consistent with prior research showing that dissatisfied primary care physicians were much more likely than others to leave a practice over a four-year follow-up period.
Most respondents to the PWS identified themselves as white (73%). Asian or Pacific Islander physicians represented 18% of respondents, Hispanic physicians 6%, and black physicians 3%. Black physicians were more likely to be female. Although the distribution of income was fairly similar for white, black, and Asian or Pacific Islander physicians, Hispanic physicians tended to report higher incomes (Table 1). However, this finding may be the result of differential reporting rates. The fraction of respondents without information on income was greater for Hispanic (17.9%) and Asian or Pacific Islander (19.8%) than for white (12.1%) and black (8.8%) physicians.
Subjects
The sampling design of the Physician Worklife Survey (PWS) has been previously described in detail. Briefly, a national probability sample of physicians in family practice, general internal medicine, pediatrics, internal medicine subspecialties, or pediatric subspecialties was drawn from the AMA Masterfile. The sampling frame was stratified on the basis of indicators of physician race (white or missing vs. all other), physician specialty (as categorized above), and penetration of managed care in the state of registry (state in highest quartile of proportion of physicians with managed care contracts vs. all other states). These categories created 20 strata, which were disproportionately sampled to produce a final sample of 5,704 physicians. Physicians in states with high levels of managed care penetration, those practicing subspecialties, and those from racial and ethnic minority groups were oversampled. The survey was mailed up to four times, resulting in 2,326 usable responses. Taking into account an estimated noncontact rate of 18%, this corresponds to an adjusted response rate of 52%. Further assessment of the correlation between time to response and 140 variables collected on the survey identified only four variables with Spearman correlation coefficients greater than 0.10. This suggests minimal differences between early and late responders in most characteristics and presumably between responders and non-responders. However, white physicians averaged a much shorter time to return than did physicians of any other racial/ethnic category. After an initial lower response rate from minority physicians, nationally recognized minority physicians appealed to minority physicians to return their surveys. This may have improved the minority physician response rate.

BACKGROUND
Physicians from racial and ethnic minority groups, particularly those that are under-represented in the healthcare workforce, provide care for more disadvantaged patients, on average, than white physicians in the United States. Studies have demonstrated that nonwhite physicians care for Medicaid beneficiaries and low-income and uninsured patients more frequently than white physicians. As a result, nonwhite physicians tend to see patients with worse health status and more acute complaints, chronic conditions, functional limitations, and psychological symptoms. This uneven distribution of patients results both from minority physicians’ choosing to practice in underserved areas and from minority patients, many of whom are disadvantaged, seeking out physicians from their own racial/ethnic background. Presumably, patients make such selections because they are more comfortable with physicians who are of the same race.

In the present study, we analyzed racial differences in the most commonly used biomarkers of hepatic damage—AST, ALT, and GGT—and the extent to which alcohol consumption can explain racial differences. The findings show that hepatic enzyme mean values (especially GGT) may increase more markedly among African Americans than in whites in relation both to drinking status and amount of alcohol consumed. For GGT, racial differences exist even in non-drinkers. The most important differences were found for GGT: in all categories of drinking status (lifetime abstainers, former and current drinkers), average levels were significantly higher in African Americans compared to whites. Furthermore, among current drinkers differences in GGT mean values were larger than those observed either in lifetime abstainers or in former drinkers. In analyses based on tertiles of recent (past 30 days) alcohol consumption, differences in GGT mean values between the two ethnic groups tended to amplify with increasing tertiles of consumption.
Table 1 shows the selected characteristics of the study participants stratified by gender and race. In this sample, for both men and women, the African Americans were significantly older, less educated, and had a significantly higher mean value of GGT than the whites. The other two enzymes were not significantly different between the two racial groups, except for ALT, which was significantly higher among white men than among African-American men. With regard to drinking status in both sexes, whites showed a higher prevalence of current drinkers compared with African Americans, whereas for beverage-specific recent (past 30 days) consumption of alcohol, we found that, on the average, white men consumed significantly more wine and beer than African-American men. For liquor consumption, while both between-race comparisons did not reach statistical significance, in both sexes African Americans reported higher consumption than whites. For women, the only significant difference was detected for wine consumption with white women reporting higher intake than African-American counterparts. The two racial groups did not significantly differ for total alcohol use and for the usual consumption of alcohol per drinking day (measure of intensity of consumption).
Population
The present study focuses on data obtained from a sample of residents of Erie and Niagara counties in New York State, enrolled as part of a series of studies conducted between September 1995 and May 2001. A detailed report of the study design, participant enrollment, and methodology has been described previously. Potential participants were randomly identified from lists of those holding a New York State driving license from the Department of Motor Vehicles of New York for people aged 35-64 and Health Care Financing Administration rolls for people aged 65-80. Of the 6,837 potential participants identified, contacted, and found to be eligible for our study, a total of 4,065 (participation rate=59.5%) agreed to participate and were invited to the Center for Preventive Medicine at the University at Buffalo for an interview and physical examination. The exclusion criteria applied to the present analyses were race different from Caucasian or African-American (n=53); a self-reported history of chronic or acute hepatitis, cirrhosis or noncirrhotic liver disease (n=171); missing information on education, BMI, smoking status, life pack years of smoking (n=169) or on drinking habits (n=32); outliers for enzyme levels (n=3, for GGT >800; n=l, for ALT=324) or missing blood determination of liver enzymes (n=332). The remaining 3,304 participants (3,063 Caucasians and 241 African Americans, 92.7% vs. 7.3%) are included in this analysis. Excluded participants for whom information was available were different from included participants with respect to the distribution of gender (women: 45.9% vs. 53.1%, p<0.05) and race (African-American: 11.4% vs. 7.3%, p<0.05); they were also significantly older, less educated, and characterized by higher body mass index (BMI) compared to included participants (age: 61.7 vs. 58.6, p<0.01; education: 13.2 vs. 13.5, p<0.05; BMI: 28.7 vs. 28.2, p<0.05). For smoking status and total pack-years of smoking, we did not find significant differences between the two groups of participants. With regard to drinking status, the excluded participants were significantly more likely to be lifetime abstainers (13.0 vs. 9.3, p<0.01) and less likely to be current drinkers than included participants (57.9 vs. 65.8, p<0.01). For total and beverage-specific alcohol intake in the past 30 days, the two groups did not significantly differ, except for wine consumption that was significantly higher among included individuals. Finally, excluded individuals had higher average levels of all three hepatic enzymes (p<0.05) compared with included participants.