October 15, 2012
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Rates of diagnosed diabetes are much higher among some Asian subgroups than is apparent when aggregating all Asians as a whole, according to a new study by the Kaiser Permanente Division of Research and UCSF, which appears in the current online issue of Diabetes Care.
In this first study to look at Asian subgroup differences in a population with uniform access to health care, there was considerable variation among the seven largest Asian and Pacific Islander subgroups. Pacific Islanders, South Asians and Filipinos had the highest diabetes prevalence (18.3 percent, 15.9 percent, and 16.1 percent respectively) and incidence (19.9, 17.2, 14.7 cases per 1,000-person years, respectively) among all racial/ethnic groups, including minorities traditionally considered high risk, such as African Americans, Latinos and Native Americans.
"Our findings are consistent with national surveillance which reports that Asians generally have a higher prevalence of diabetes relative to non-Hispanic whites, but lower than that of African Americans and Latinos," explained Andrew Karter, a senior research scientist with the Kaiser Permanente Division of Research and the lead author of the study.
"However, when looking at the Asian subgroups separately, we find that Pacific Islanders, South Asians and Filipinos stand out as having greater risk. Studying diabetes in Asians 'as a whole' obscured these subgroup differences because the high diabetes risk among Pacific Islanders, South Asians and Filipinos was counterbalanced by much lower rates among the large population of Chinese and several smaller Asian subgroups."
The number of Americans of Asian and Pacific Islander ethnicity increased by 43 percent between the 2000 and 2010 censuses, and they now comprise 5 percent of the U.S. population. National health statistics typically have lumped all Asians into a single group when evaluating racial differences in health outcomes, precluding evaluation of subgroup differences. Most national health surveys before 2000 classified Asians as 'other race' or, if recognized, combined them with Pacific Islanders.
"That would be like combining blacks, Latinos and whites together into one ethnic group" said Dr. Alka Kanaya, an internist at UCSF Medical Center and a co-author on the study. "As a result, the variation among Asian and Pacific Islanders subgroups has been neglected. In fact, the aggregated statistics may be completely misleading given the variation in the representation of each subgroup across the U.S."
As part of the Diabetes Study of Northern California (DISTANCE), researchers analyzed 1,704,363 adult members of Kaiser Permanente in Northern California, and estimated racial/ethnic differences in diabetes prevalence and incidence in a large multi-ethnic population of patients receiving care in an integrated health care delivery system.
The researchers point out that the findings suggest an opportunity for improving diabetes prevention efforts. "Targeting patients based on body mass index (BMI) or obesity alone may miss individuals in Asian subgroups who are often at high risk for diabetes even when they are not obese," said Karter.
Additional authors on the study include Dr. Dean Schillinger, with the UCSF Division of General Internal Medicine; Alyce S. Adams and Howard H. Moffet with the Kaiser Permanente Division of Research; and Nancy Adler of the UCSF Center for Health and Community.
Funding for the research was provided by the National Institute of Diabetes and Digestive and Kidney Diseases.
About UCSF Medical Center
UCSF Medical Center consistently ranks as one of the top 10 hospitals in the United States. Recognized for innovative treatments, advanced technology, collaboration among health care professionals and scientists, and a highly compassionate patient care team, UCSF Medical Center serves as the academic medical center of the University of California, San Francisco. The medical center's nationally preeminent programs include children's health, the brain and nervous system, organ transplantation, women's health and cancer. It operates as a self-supporting enterprise within UCSF and generates its own revenues to cover the operating costs of providing patient care.
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