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Socioeconomic Inequalities in the Prevalence of Diabetes in Argentina: A Repeated Cross-Sectional Study in Urban Women and Men

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Listed:
  • Carlos Rojas-Roque

    (Health Technology Assessment and Health Economics Department, Institute for Clinical Effectiveness and Health Policy, Buenos Aires C1414CPV, Argentina)

  • Akram Hernández-Vásquez

    (Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima 15024, Peru)

  • Diego Azañedo

    (Facultad de Ciencias de la Salud, Universidad Científica del Sur, Lima 15067, Peru)

  • Guido Bendezu-Quispe

    (Centro de Investigación Epidemiológica en Salud Global, Universidad Privada Norbert Wiener, Lima 15046, Peru)

Abstract

This study measured the socioeconomic inequalities in the prevalence of diabetes between 2005 and 2018 in an urban Argentinian population. Data were obtained from the repeated cross-sectional surveys “National Survey of Risk Factors” (ENFR is its acronym in Spanish). From 2005 to 2018, four rounds of ENFR were administered to men and women over 18 years of age. Concentration curves (CC) and the Erreygers concentration index (ECI) were used to describe the socioeconomic inequalities in diabetes’ prevalence. A decomposition analysis was performed to determine the contribution of each variable to inequality in diabetes’ prevalence. Data from 41,219 (2005), 34,583 (2009), 32,232 (2013), and 29,094 (2018) individuals were analyzed. Women reported a greater prevalence of diabetes compared with men for all the years included. According to the CC and ECI, we found no evidence of inequality in men throughout all study years. For women, throughout all years, the CCs were above the line of equity, and the ECIs during all the years were negative and different from zero ( p < 0.01). For women, we found no evidence of a reduction in inequalities between 2005 and 2018 ( p = 0.475). The socioeconomic inequality for women was largely driven by public insurance, primary and secondary education, and employment. Diabetes’ prevalence was not associated with socioeconomic status in men, while the prevalence of diabetes in women was more concentrated among poorer women. During the 13 years, there was no evidence of a reduction of inequality in women, noting that interventions must prioritize and should focus on the main contribution of inequalities, such as education and employment.

Suggested Citation

  • Carlos Rojas-Roque & Akram Hernández-Vásquez & Diego Azañedo & Guido Bendezu-Quispe, 2022. "Socioeconomic Inequalities in the Prevalence of Diabetes in Argentina: A Repeated Cross-Sectional Study in Urban Women and Men," IJERPH, MDPI, vol. 19(15), pages 1-12, July.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:8888-:d:868681
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    References listed on IDEAS

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    1. Erreygers, Guido, 2009. "Correcting the Concentration Index: A reply to Wagstaff," Journal of Health Economics, Elsevier, vol. 28(2), pages 521-524, March.
    2. Adam Wagstaff, 2005. "The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 429-432, April.
    3. Adolfo Rubinstein & Laura Gutierrez & Andrea Beratarrechea & Vilma E Irazola, 2014. "Increased Prevalence of Diabetes in Argentina Is Due to Easier Health Care Access Rather than to an Actual Increase in Prevalence," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-5, April.
    4. Manuel S Ortiz & Baltica Cabieses & Marcela Oyarte & Paula Repetto, 2020. "Disentangling socioeconomic inequalities of type 2 diabetes mellitus in Chile: A population-based analysis," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-13, September.
    5. Erreygers, Guido, 2009. "Correcting the Concentration Index," Journal of Health Economics, Elsevier, vol. 28(2), pages 504-515, March.
    6. Md Ismail Tareque & Atsushi Koshio & Andrew D Tiedt & Toshihiko Hasegawa, 2015. "Are the Rates of Hypertension and Diabetes Higher in People from Lower Socioeconomic Status in Bangladesh? Results from a Nationally Representative Survey," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-17, May.
    7. Owen O’Donnell & Stephen O’Neill & Tom Van Ourti & Brendan Walsh, 2016. "conindex: Estimation of concentration indices," Stata Journal, StataCorp LP, vol. 16(1), pages 112-138, March.
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