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Social Inequities in Cardiovascular Disease Risk Factors at Multiple Levels Persist Among Mothers in Texas

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  • Catherine Cubbin

    (Steve Hicks School of Social Work, The University of Texas at Austin, 405 W. 25th Street, Austin, TX 78705, USA)

  • Quynh Nhu (Natasha) B. La Frinere-Sandoval

    (Steve Hicks School of Social Work, The University of Texas at Austin, 405 W. 25th Street, Austin, TX 78705, USA)

  • Elizabeth M. Widen

    (Department of Nutritional Sciences, College of Natural Sciences, The University of Texas at Austin, 200 W. 24th Street, Austin, TX 78712, USA)

Abstract

The life stage between the ages of 30–45 years for women is critical, given the competing demands of occupational advancement, intimate partner relationships, and childcare responsibilities. Cardiovascular disease (CVD) is the leading cause of death among women in the US, which is experienced inequitably by race/ethnicity/nativity and socioeconomic status and is embedded within geographic contexts. The objective of the current study was to examine social inequities in pre-pregnancy risk factors for cardiovascular disease. We analyzed 16 years of geocoded natality data in Texas (N = 2,089,588 births between 2005 and 2020 to mothers aged 30–45 years) linked with census tract- and county-level data. Dependent variables included pre-pregnancy diabetes, hypertension, obesity, and smoking. Independent variables included individual-level race/ethnicity/nativity and educational attainment, tract-level poverty and racial/ethnic concentrations, and county-level urban/rural status, with controls for other sociodemographic characteristics and time trend. Two-level, random intercept hierarchical generalized logistic models were used to estimate associations and model fit. Significant social inequities at the individual-, tract-, and county-levels in each risk factor were found. For example, tract-level variables had substantial and significant association with the four CVD risk factors, ranging from 13% to 72% higher odds in adjusted models. For all four risk factors, the more rural the county of residence was, the higher the odds of having the risk factor (24% to 256% higher odds). Individual-level social inequalities by race/ethnicity/nativity (ORs ranging from 0.04 to 2.12) and education (ORs ranging from 1.25 to 5.20) were also observed. Enhancing our understanding of this important period of life may enable policy and interventions to better support women through this critical life stage.

Suggested Citation

  • Catherine Cubbin & Quynh Nhu (Natasha) B. La Frinere-Sandoval & Elizabeth M. Widen, 2025. "Social Inequities in Cardiovascular Disease Risk Factors at Multiple Levels Persist Among Mothers in Texas," IJERPH, MDPI, vol. 22(3), pages 1-15, March.
  • Handle: RePEc:gam:jijerp:v:22:y:2025:i:3:p:404-:d:1609116
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    References listed on IDEAS

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    1. Md Towfiqul Alam & Sandra E. Echeverria & Melissa J. DuPont-Reyes & Elizabeth Vasquez & Rosenda Murillo & Tailisha Gonzalez & Fatima Rodriguez, 2021. "Educational Attainment and Prevalence of Cardiovascular Health (Life’s Simple 7) in Asian Americans," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    2. Barber, S. & Hickson, D.A. & Wang, X. & Sims, M. & Nelson, C. & Diez-Roux, A.V., 2016. "Neighborhood disadvantage, poor social conditions, and cardiovascular disease incidence among African American adults in the Jackson heart study," American Journal of Public Health, American Public Health Association, vol. 106(12), pages 2219-2226.
    3. Thomas, A.J. & Eberly, L.E. & Smith, G.D. & Neaton, J.D. & Stamler, J., 2005. "Race/ethnicity, income, major risk factors, and cardiovascular disease mortality," American Journal of Public Health, American Public Health Association, vol. 95(8), pages 1417-1423.
    4. Macintyre, Sally & Ellaway, Anne & Cummins, Steven, 2002. "Place effects on health: how can we conceptualise, operationalise and measure them?," Social Science & Medicine, Elsevier, vol. 55(1), pages 125-139, July.
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