Preventing Chronic Disease | Correlates of Measured Prehypertension and Hypertension in Latina Women Living Along the US–Mexico Border, 2007–2009 - CDC

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Preventing Chronic Disease | Correlates of Measured Prehypertension and Hypertension in Latina Women Living Along the US–Mexico Border, 2007–2009 - CDC

Correlates of Measured Prehypertension and Hypertension in Latina Women Living Along the US–Mexico Border, 2007–2009

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• Abstract
• Introduction
• Methods
• Results
• Discussion
• Acknowledgments
• Author Information
• References
• Tables

Hala Madanat, PhD; Marisa Molina, MPH; Hena Din, MPH; Rachel Mintle, MPH; Elva M. Arredondo, PhD; John P. Elder, PhD, MPH; Kevin Patrick, MD; Hector Lemus, PhD; Veronica Medina, BS; Guadalupe X. Ayala, PhD, MPH

Suggested citation for this article: Madanat H, Molina M, Din H, Mintle R, Arredondo EM, Elder JP, et al. Correlates of Measured Prehypertension and Hypertension in Latina Women Living Along the US–Mexico Border, 2007–2009. Prev Chronic Dis 2014;11:140233. DOI: http://dx.doi.org/10.5888/pcd11.140233.

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Abstract

Introduction
Although Latinos have lower hypertension rates than non-Latino whites and African Americans, they have a higher prevalence of undiagnosed and uncontrolled hypertension. Research on predictors of hypertension has mostly focused on intrapersonal factors with no studies assessing the combined influence of intrapersonal, interpersonal, and environmental factors. The purpose of this study was to assess a broad range of correlates including intrapersonal, interpersonal, and environmental factors on measured blood pressure category (nonhypertensive, prehypertensive, and hypertensive) in a sample of Latina women residing in San Diego, California.

Methods
This cross-sectional study used baseline data from the San Diego Prevention Research Center’s Familias Sanas y Activasprogram, a promotora-led physical activity intervention. The sample was 331 Latinas who self-selected into this program. Backward conditional logistic regression analysis was conducted to determine the strongest correlates of measured blood pressure category.

Results
Logistic regression analysis suggested that the strongest correlates of prehypertension were soda consumption (odds ratio [OR] = 1.34, [1.00–1.80], P ≤ .05) and age (OR = 1.03, [1.00–1.05], P ≤ .05). The strongest correlates of hypertension were soda consumption (OR = 1.92, [1.20–3.07], P ≤ .01), age (OR = 1.09, [1.05–1.13], P ≤ .001), and measured body mass index (OR = 1.13, [1.05–1.22], P ≤ .001). All analyses controlled for age and education. No interpersonal or environmental correlates were significantly associated with blood pressure category.

Conclusion
Future research should aim to further understand the role of soda consumption on risk for hypertension in this population. Furthermore, interventions aimed at preventing hypertension may want to focus on intrapersonal level factors.

Acknowledgments

This research study was funded by the Centers for Disease Control and Prevention (U48 DP00036) to Guadalupe X. Ayala, Research Core Principal Investigator and Co-Director, John P. Elder, Center Director, and Kevin Patrick, Co-Director.

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Author Information

Corresponding Author: Hala Madanat, PhD, Graduate School of Public Health, San Diego State University, San Diego Prevention Research Center, 9245 Sky Park Court, Suite 221, San Diego, CA 92123. Telephone: 801-830-3459. E-mail: hmadanat@mail.sdsu.edu. This author is also affiliated with the San Diego Prevention Research Center and the Institute for Behavioral and Community Health of the San Diego State University Research Foundation, San Diego, California.

Author Affiliations: Marisa Molina, San Diego State University Research Foundation, San Diego Prevention Research Center, San Diego, California; Hena Din, San Diego Prevention Research Center and the Institute for Behavioral and Community Health of the San Diego State University Research Foundation, San Diego, California; Rachel Mintle, Hector Lemus, Graduate School of Public Health, San Diego State University and San Diego Prevention Research Center and the Institute for Behavioral and Community Health of the San Diego State University Research Foundation, San Diego, California; Elva M. Arredondo, Guadalupe X. Ayala, Graduate School of Public Health, San Diego State University and San Diego Prevention Research Center and the Institute for Behavioral and Community Health of the San Diego State University Research Foundation, San Diego, California; John P. Elder, San Diego Prevention Research Center and the Institute for Behavioral and Community Health of the San Diego State University Research Foundation, San Diego, California, and Department of Family and Preventive Medicine, University of California, San Diego, California; Kevin Patrick, Department of Family and Preventive Medicine, University of California, San Diego, California; Veronica Medina, San Ysidro School District, San Diego, California.

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