Prevalence of prediabetes and diabetes vary by ethnicity among U.S. Asian adults at healthy weight, overweight, and obesity ranges: an electronic health record study.

BACKGROUND: Asian adults develop Type 2 diabetes at a lower body mass index (BMI) compared to other racial/ethnic groups. We examined the variation in prevalence of prediabetes and diabetes among Asian ethnic groups within weight strata by comparing middle-aged Chinese, Filipino, South Asian, and White adults receiving care in the same integrated healthcare delivery system. METHODS: Our retrospective cross-sectional U.S. study examined data from 283,110 (non-Hispanic) White, 33,263 Chinese, 38,766 Filipino, and 17,959 South Asian adults aged 45-64 years who were members of a Northern California health plan in 2016 and had measured height and weight. Prediabetes and diabetes were classified based on laboratory data, clinical diagnoses, or diabetes pharmacotherapy. Age-standardized prevalence of prediabetes and diabetes were compared by race/ethnicity within healthy weight, overweight, and obesity categories, using standard BMI thresholds for White adults (18.5 to < 25, 25 to < 30, ≥ 30 kg/m2) and lower BMI thresholds for Asian adults (18.5 to < 23, 23 to < 27.5, ≥ 27.5 kg/m2). Prevalence ratios (PRs) were used to compare the prevalence of diabetes and prediabetes for Asian groups to White adults in each weight category, adjusted for age and BMI. RESULTS: Across all weight categories, diabetes prevalence was higher for Asian than White adults, and among Asian groups it was highest for Filipino and South Asian adults. Compared to White, PRs for South Asian men/women at healthy BMI were 1.8/2.8 for prediabetes and 5.9/8.0 for diabetes, respectively. The PRs for Filipino men/women at healthy BMI were 1.8/2.6 for prediabetes and 5.0/7.5 for diabetes, respectively. For Chinese men/women at healthy BMI, the PRs for prediabetes (2.1/2.9) were similar to Filipino and South Asian, but the PRs for diabetes were lower (2.1/3.4). CONCLUSION: Chinese, Filipino, and South Asian adults have higher prevalence of prediabetes and diabetes than White adults in all weight categories, despite using lower BMI thresholds for weight classification in Asian groups. Within Asian ethnic groups, Filipino and South Asian adults had considerably higher diabetes prevalence than Chinese adults. Our data emphasize the disproportionate metabolic risk among middle-aged Asian adults and underscore the need for diabetes screening among high-risk Asian groups at healthy BMI levels.

Ethnic diversity and burden of polycystic ovary syndrome among US adolescent females.

OBJECTIVES: Polycystic Ovary Syndrome (PCOS) is a common female endocrine disorder presenting as early as adolescence. Recent data suggest that Asians may be at increased risk. This study examines PCOS prevalence by race/ethnicity in a large, diverse population of adolescent females. METHODS: This retrospective study included 244,642 females (ages 13-17) with well-child visits during 2012-2018 in a Northern California healthcare system. Race/ethnicity and Asian ethnicity were classified using self-reported data. Body mass index was classified as healthy, overweight, and moderate/severe obesity. PCOS was determined by clinical diagnosis within one year of the visit. RESULTS: The overall prevalence of PCOS was 0.7% and increased substantially with weight. Among those with obesity, PCOS prevalence was 4.2, 2.9, 2.4, 2.1% in Asian/Pacific Islander (PI), Hispanic/Latina, Non-Hispanic White, Black adolescents and 7.8, 6.7, 5.7, 3.4% in South Asian, Chinese, Filipina, Native Hawaiian/PI adolescents, respectively. Compared to White adolescents, Asian/PIs had two-fold higher risk of PCOS, and Hispanic/Latinas had 1.3-fold higher risk. Compared to Chinese adolescents, South Asians had 1.7-fold higher risk, while Native Hawaiian/PIs had half the risk. CONCLUSIONS: The increased burden of diagnosed PCOS in Asian/PI and Hispanic/Latina adolescents, especially those with obesity, calls for further examination and clinical surveillance of at-risk populations.