Darrell J Gaskin1, Hossein Zare2, John W Jackson3, Chidinma Ibe4, Jamar Slocum5. 1. Department of Health Policy and Management, Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway Suite 441, Baltimore, MD, 21205, USA. dgaskin1@jhu.edu. 2. Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, & Adjunct Associate Professor Global Health Services and Administration, University of Maryland Global Campus (UMGC), 624 N. Broadway Room 337, Baltimore, MD, 21205, USA. 3. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Room E6543, Baltimore, MD, 21205, USA. 4. General Internal Medicine, Johns Hopkins University School of Medicine, 2024 East Monument Street, 2-514, Baltimore, MD, 21287, USA. 5. General Preventative Medicine Resident, Preventive Medicine Residency Program, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street Room WB602, Baltimore, MD, 21205, USA.
Abstract
OBJECTIVE: This study decomposes race and ethnic differences in hypertension, waist circumference, obesity and allostatic load between black non-Hispanic (BNH), Mexican American (MA), and white non-Hispanic (WNH) women. DATA: This study uses 10,109 observations from The National Health and Nutrition Examination Survey from years 1999-2014 for BNH, MA women, and WNH between 40 and 75 years old. METHODOLOGY: We used the Oaxaca-Blinder decomposition to explore how demographic, socioeconomic, healthcare access, and health behavior factors are associated with race and ethnic differences in blood pressure, waist circumference, body mass index (BMI), and allostatic load score (ALS). RESULTS: We found that demographic factors, socioeconomic status, healthcare access, and health behaviors explained from 0 to 50% of the difference in CVD risk factors between BNH and WNH. However, these factors explain from 39 to 100% of the difference in CVD risk factors between MA and WNH. Differences in demographic, socioeconomic, access to care, and health behavior factor variables explained very little of the differences in CVD risk factors between NHB and MA women. CONCLUSION: The impact of the determinants on CVD risk factors varies by race and ethnicity. Efforts to address differences in CVD risk factors should promote health equity programs and acknowledge that even race and ethnic groups that have similar demographic, SES, access to care, and health behavior factors can have different outcomes.
OBJECTIVE: This study decomposes race and ethnic differences in hypertension, waist circumference, obesity and allostatic load between black non-Hispanic (BNH), Mexican American (MA), and white non-Hispanic (WNH) women. DATA: This study uses 10,109 observations from The National Health and Nutrition Examination Survey from years 1999-2014 for BNH, MA women, and WNH between 40 and 75 years old. METHODOLOGY: We used the Oaxaca-Blinder decomposition to explore how demographic, socioeconomic, healthcare access, and health behavior factors are associated with race and ethnic differences in blood pressure, waist circumference, body mass index (BMI), and allostatic load score (ALS). RESULTS: We found that demographic factors, socioeconomic status, healthcare access, and health behaviors explained from 0 to 50% of the difference in CVD risk factors between BNH and WNH. However, these factors explain from 39 to 100% of the difference in CVD risk factors between MA and WNH. Differences in demographic, socioeconomic, access to care, and health behavior factor variables explained very little of the differences in CVD risk factors between NHB and MA women. CONCLUSION: The impact of the determinants on CVD risk factors varies by race and ethnicity. Efforts to address differences in CVD risk factors should promote health equity programs and acknowledge that even race and ethnic groups that have similar demographic, SES, access to care, and health behavior factors can have different outcomes.
Entities:
Keywords:
Allostatic load score; Blood pressure; Body mass index; Race and ethnic disparities; Waist circumference; Women’s health
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