Key result
Disaggregated ethnicity data reveals wide heterogeneity in diabetes risk factors, with overweight/obesity reaching ~80% in Samoans.
Why the study?
Disaggregating race and ethnicity data into detailed subgroups may reveal pronounced heterogeneity in type 2 diabetes risk factors related to lifestyle behaviors and preventive care barriers.
Cross-Sectional (n=3,437,640)
Yes
Disaggregating race and ethnicity data reveals substantial heterogeneity in type 2 diabetes risk factors and access to care among U.S. adults, highlighting the need for detailed demographic data to accurately characterize health disparities.
Answers are grounded in this paper and cite their sources.
Broad categories may mask diabetes disparities; supports expanded disaggregated ethnicity data in research and surveillance.
OBJECTIVE: Race and ethnicity data disaggregated into detailed subgroups may reveal pronounced heterogeneity in diabetes risk factors. We therefore used disaggregated data to examine the prevalence of type 2 diabetes risk factors related to lifestyle behaviors and barriers to preventive care among adults in the U.S. RESEARCH DESIGN AND METHODS: We conducted a pooled cross-sectional study of 3,437,640 adults aged ≥18 years in the U.S. without diagnosed diabetes from the Behavioral Risk Factor Surveillance System (2013-2021). For self-reported race and ethnicity, the following categories were included: Hispanic (Cuban, Mexican, Puerto Rican, Other Hispanic), non-Hispanic (NH) American Indian/Alaska Native, NH Asian (Chinese, Filipino, Indian, Japanese, Korean, Vietnamese, Other Asian), NH Black, NH Pacific Islander (Guamanian/Chamorro, Native Hawaiian, Samoan, Other Pacific Islander), NH White, NH Multiracial, NH Other. Risk factors included current smoking, hypertension, overweight or obesity, physical inactivity, being uninsured, not having a primary care doctor, health care cost concerns, and no physical exam in the past 12 months. RESULTS: Prevalence of hypertension, lifestyle factors, and barriers to preventive care showed substantial heterogeneity among both aggregated, self-identified racial and ethnic groups and disaggregated subgroups. For example, the prevalence of overweight or obesity ranged from 50.8% (95% CI 49.1-52.5) among Chinese adults to 79.8% (73.5-84.9) among Samoan adults. Prevalence of being uninsured among Hispanic subgroups ranged from 11.4% (10.9-11.9) among Puerto Rican adults to 33.0% (32.5-33.5) among Mexican adults. CONCLUSIONS: These findings underscore the importance of using disaggregated race and ethnicity data to accurately characterize disparities in type 2 diabetes risk factors and access to care.
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Koyama et al. (2023) conducted a cross-sectional in Type 2 diabetes risk factors (n=3,437,640). Disaggregated race and ethnicity data revealed substantial heterogeneity in diabetes risk factors, with overweight or obesity ranging from 50.8% in Chinese adults to 79.8% in Samoan adults.
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