ABSTRACT
INTRODUCTION: The Pacific Islander American population is understudied due to being aggregated with Asian Americans. In this study, we conduct a comparative analysis of directly measured body mass index (BMI), body fat percentage (%BF), and blood pressure (BP) between Pacific Islander Americans and Asian Americans from health screenings in Los Angeles, California. We hope to reveal intra-APIA health disparities masked by this data aggregation. METHODS: We analyzed BMI, %BF, and BP that were objectively measured by trained personnel at health screenings in Los Angeles between January 2011 and December 2019. We performed multivariable multinomial logistic regression models with obesity and hypertensive categories as outcome variables and ethnicity as the primary independent variable of interest. Models controlled for year of visit, participant age, sex, income, education level, years living in the USA, employment status, English proficiency, regular doctor access, and health insurance status. RESULTS: A total of 4,832 individuals were included in the analysis. Multivariable analyses revealed that Pacific Islander participants were at significantly higher risks for being classified as obese compared with all Asian American subgroups studied, including Chinese, Korean, Thai, Vietnamese, Filipino, and Japanese. Pacific Islanders also exhibited significantly lower predicted probability of having a normal blood pressure compared with Chinese and Thai participants. Some variation between Asian subgroups were also observed. CONCLUSIONS: Pacific Islander participants had higher risk of several sentinel health problems compared to Asian American participants. Disaggregation of PI Americans from the APIA umbrella category in future studies is necessary to unmask the critical needs of this important community.
Subject(s)
Health Fairs , Hypertension , Humans , Asian , Pacific Island People , Los Angeles , ObesityABSTRACT
OBJECTIVES: Given several efforts to improve health care access in California and nationally, we studied whether linguistic and socioeconomic disparities in health care access changed from 2011 to 2019 among Asian and Pacific Islander American (APIA) people in Los Angeles, California. METHODS: We analyzed survey responses from APIA health fair participants (n = 5032) in the Greater Los Angeles area from May 15, 2011, through October 20, 2019. To assess the effect of socioeconomic factors on and shifts in health care access (ie, health insurance status/regular doctor), we used a logistic regression model. Covariates included English proficiency, year, age, sex, ethnicity, income, employment, and education. We also ran an interaction analysis between English proficiency and year. RESULTS: Health insurance access increased and doctor access remained stable throughout the study period; however, disparities in health insurance status widened by a factor of 1.08 per year between participants with high English proficiency (HEP) and participants with low English proficiency (LEP) (P = .01). People with HEP were 2.02 times more likely to have a regular doctor than people with LEP (P < .001), and this disparity persisted from 2011 to 2019 (P = .58). Participants who were young (P < .001) and male (P = .005) were significantly less likely to have health insurance and a regular doctor (P < .001) than participants who were older and female. Chinese participants were significantly more likely than Thai (P = .002) and Korean (P < .001) participants to be insured but not more likely to have a regular doctor, when controlling for health insurance. CONCLUSIONS: Policy changes targeting language and cultural barriers to care for APIA people with LEP may address the disparities observed.
