Affiliation:
1. Alexander C. Adia, Jennifer Nazareno, and Don Operario are with the Philippine Health Initiative for Research, Service, and Training, Brown University School of Public Health, Providence, RI. Ninez A. Ponce is with the University of California, Los Angeles Fielding School of Public Health and the University of California, Los Angeles Center for Health Policy Research.
Abstract
Objectives. To determine the impact of data disaggregation on the ability to identify health disparities and needs for future research for Filipino, Vietnamese, Chinese, Japanese, and Korean adults in California. Methods. Using available data from the 2011–2017 California Health Interview Survey, we conducted bivariate and multivariable analyses to assess disparities in health conditions, outcomes, and service access compared with non-Hispanic Whites for Asians as an overall group and for each individual subgroup. Results. As an aggregate category, Asians appeared healthier than did non-Hispanic Whites on most indicators. However, every Asian subgroup had at least 1 disparity disguised by aggregation. Filipinos had the most disparities, with higher prevalence of fair or poor health, being obese or overweight, and having high blood pressure, diabetes, or asthma compared with non-Hispanic Whites (P < .05) in multivariable analyses. Conclusions. Failure to disaggregate health data for individual Asian subgroups disguises disparities and leads to inaccurate conclusions about needs for interventions and research.
Publisher
American Public Health Association
Subject
Public Health, Environmental and Occupational Health
Cited by
89 articles.
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